CN117791676A

CN117791676A - Peak clipping and valley filling method, device and storage medium

Info

Publication number: CN117791676A
Application number: CN202311803110.7A
Authority: CN
Inventors: 林禄英; 王元鹏
Original assignee: Xiamen Hithium Energy Storage Technology Co Ltd
Current assignee: Xiamen Hithium Energy Storage Technology Co Ltd
Priority date: 2023-12-25
Filing date: 2023-12-25
Publication date: 2024-03-29

Abstract

The invention discloses a peak clipping and valley filling method, a peak clipping and valley filling device and a storage medium. The method comprises the following steps: obtaining basic data of a plurality of different sources through EMS to obtain a plurality of groups of basic data; classifying the multiple groups of basic data to obtain power generation basic data and user basic data; predicting the target power generation electric quantity of the power supply system in a preset time period according to the power generation basic data by using the EMS; predicting target electricity consumption of the user in a preset time period according to the user basic data; determining a ratio between the target power generation amount and the target power consumption amount through the EMS; when the ratio is in a first preset range, determining that the peak clipping strategy is a target peak clipping and valley filling strategy; when the ratio is in a second preset range, determining the valley filling strategy as a target peak clipping and valley filling strategy; and determining a difference relation between the target power generation electric quantity and the target power consumption electric quantity through the BMS, and controlling m energy storage devices to execute a target peak clipping and valley filling strategy according to the difference relation.

Description

Peak clipping and valley filling method, device and storage medium

Technical Field

The invention relates to the field of electric power, in particular to a peak clipping and valley filling method, a peak clipping and valley filling device and a storage medium.

Background

The energy management system (Energy Management System, EMS) is a regulation and control integrated energy management system pushed out by the battery energy storage power station, achieves the functions of real-time monitoring, diagnosis and early warning, panoramic analysis and advanced control, meets the requirements of comprehensive operation monitoring, intelligent safety analysis and dynamic panoramic analysis, and ensures safe, reliable and stable operation of the energy storage power station.

One important function of EMS is to cut peaks and fill valleys of electric power, where peak cutting and valley filling generally refers to reducing peak electricity consumption of a power supply system and improving valley electricity consumption so as to achieve balance between supply and demand of electric power and realize economic operation of the power supply system. When peak clipping and valley filling are performed, the EMS generally only uses historical electricity consumption data to simply predict the electricity consumption of each time period in the future, so that the power peak period and the power low peak period are determined.

Disclosure of Invention

In a first aspect, an embodiment of the present invention provides a peak clipping and valley filling method, which is applied to a power supply system, where the power supply system includes an energy management system EMS, a battery management system BMS, and m energy storage devices, where m is an integer greater than 1; the method comprises the following steps:

Acquiring basic data of a plurality of different sources through the EMS to obtain a plurality of groups of basic data; classifying the multiple groups of basic data to obtain power generation basic data and user basic data;

predicting target power generation electric quantity of a power supply system in a preset time period according to the power generation basic data through the EMS; predicting the target electricity consumption of the user in the preset time period according to the user basic data;

determining, by the EMS, a ratio between the target power generation amount and the target power consumption amount; when the ratio is in a first preset range, determining that the peak clipping strategy is a target peak clipping and valley filling strategy; the lower threshold value of the first preset range is larger than 1; when the ratio is in the second preset range, determining that the filling Gu Ce is slightly the target peak clipping and valley filling strategy; the upper threshold value of the second preset range is smaller than 1;

and determining a difference relation between the target power generation electric quantity and the target power consumption electric quantity through the BMS, and controlling the m energy storage devices to execute the target peak clipping and valley filling strategy according to the difference relation.

In a second aspect, an embodiment of the present invention provides a peak clipping and valley filling device, which is applied to a power supply system, where the power supply system includes an energy management system EMS, a battery management system BMS, and m storage devices, and the peak clipping and valley filling device includes an acquisition unit, a prediction unit, and a control unit,

The acquisition unit is used for acquiring a plurality of basic data from different sources through the EMS to obtain a plurality of groups of basic data; classifying the multiple groups of basic data to obtain power generation basic data and user basic data;

the prediction unit is used for predicting the target power generation electric quantity of the power supply system in a preset time period according to the power generation basic data through the EMS; predicting the target electricity consumption of the user in the preset time period according to the user basic data;

the control unit is used for determining a ratio between the target generated electricity quantity and the target electricity consumption quantity through the EMS; when the ratio is in a first preset range, determining that the peak clipping strategy is a target peak clipping and valley filling strategy; the lower threshold value of the first preset range is larger than 1; when the ratio is in the second preset range, determining that the filling Gu Ce is slightly the target peak clipping and valley filling strategy; the upper threshold value of the second preset range is smaller than 1; and the BMS is also used for determining a difference relation between the target power generation electric quantity and the target power consumption electric quantity, and controlling the m energy storage devices to execute the target peak clipping and valley filling strategy according to the difference relation.

In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the first aspect of the embodiment of the present application.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application.

Drawings

In order to more clearly describe the embodiments of the present invention or the technical solutions in the background art, the following description will describe the drawings that are required to be used in the embodiments of the present invention or the background art.

Fig. 1 is a block diagram of a power supply system according to an embodiment of the present application;

FIG. 2 is a schematic flow chart of a method for peak clipping and valley filling according to an embodiment of the present application;

FIG. 3 is a schematic flow chart of another method for peak clipping and valley filling according to an embodiment of the present disclosure;

FIG. 4 is a schematic flow chart of another method for peak clipping and valley filling according to an embodiment of the present disclosure;

FIG. 5 is a schematic flow chart of another method for peak clipping and valley filling according to an embodiment of the present disclosure;

FIG. 6 is a functional block diagram of a peak clipping and valley filling device according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

First, related terms referred to in the present application will be explained:

peak clipping and valley filling: peak clipping and valley filling are power dispatching strategies, and aim to balance the supply and demand difference of loads of a power supply system by adjusting the power generation or power utilization behaviors of the power supply system so as to improve the stability and efficiency of the power supply system. Peak clipping and valley filling have a plurality of meanings, and the application mainly relates to peak clipping and valley filling at a power generation side, wherein the peak clipping and valley filling at the power generation side means that an EMS system stores electric energy by using energy storage equipment in a power grid load peak period so as to balance power grid load; and releasing energy storage in the load valley period of the power grid so as to meet the power grid demand.

Energy management system (Energy Management System, EMS): the intelligent system integrates software and hardware and is used for monitoring, controlling and optimizing energy flow and energy consumption in an energy system. For example, in the field of electric vehicle charging piles, the energy management system can monitor the electric energy consumption condition of the charging pile and intelligently schedule the operation of the charging pile according to the user requirements and the load condition of a power supply system so as to improve the charging efficiency and the load balance of the power supply system.

Energy storage converter (Power Conversion System, PCS): the device for realizing the bidirectional conversion of the electric energy in the electrochemical energy storage equipment is connected between the battery system and the power supply system, can convert the direct current of the storage battery into alternating current, and is transmitted to the power supply system or used for an alternating current load, and can also rectify the alternating current of the power supply system into direct current to charge the storage battery.

Battery management system (Battery Management System, BMS): the battery management system is matched with equipment for monitoring the state of the energy storage battery, and is mainly used for intelligently managing and maintaining the battery, so that the safe and reliable operation of the energy storage battery is ensured.

Energy storage device: the energy storage device may be shaped like an energy storage cabinet with one or more batteries inside for charging and discharging.

Referring to fig. 1, fig. 1 is a block diagram of a power supply system according to an embodiment of the present application, where, as shown in fig. 1, the power supply system includes an energy management system EMS, a battery management system BMS, and m energy storage devices, where m is an integer greater than 1.

Optionally, the power supply system may further include: an energy storage converter PCS, a power grid, a consumer, etc., wherein the consumer shown in fig. 1 represents a terminal device or facility that needs to use power. These devices may be homes, factories, commercial buildings, public facilities, etc. The user is connected to the power supply system through a power transmission line such as a wire, a cable and the like, and obtains the required electric energy.

The BMS can monitor parameters such as the state, the temperature and the capacity of the battery in the energy storage equipment, ensures the safe operation and the optimized performance of the battery, and has the functions of monitoring, protecting and controlling the battery so as to prolong the service life of the battery, improve the efficiency and ensure the safety performance of the battery.

EMS is a system for overall management and optimization of energy flow and energy utilization of a power supply system. The EMS may monitor and control energy flow between the grid, the energy storage device, and the user, and may intelligently schedule the supply and use of energy according to the user's energy demand and electricity price. The EMS has the functions of realizing the optimal configuration of energy, improving the energy utilization efficiency and reducing the energy cost.

The energy storage device is an important component of the power supply system, the energy storage device is generally similar to an energy storage cabinet in shape, one or more batteries are arranged in the energy storage device and used for storing redundant electric energy generated by a power grid, and the energy storage device can provide electric energy for a user to use when the power supply system cannot generate electricity or is insufficient in generating capacity. The energy storage device is used for storing and releasing electric energy so as to realize balance of energy sources and matching of supply and demand.

The energy storage converter PCS is a device for controlling and managing the charging and discharging process of the battery in the energy storage device. The electric energy generated by the power grid is stored in the energy storage battery, and the electric energy in the energy storage battery is converted into alternating current for a user to use when needed. The PCS of the energy storage converter is used for realizing energy conversion and management between a power grid and energy storage equipment.

The power grid generally comprises power plants, power substations, transmission lines, distribution networks and other equipment, and the power grid is used for providing stable and reliable power supply, so that the power grid can effectively convey electric energy generated by the power plants to all users or store the electric energy into energy storage equipment, and normal electricity utilization requirements of the users are guaranteed.

These devices cooperate together to achieve efficient energy management and provisioning of the power supply system.

Referring to fig. 2, fig. 2 is a schematic flow chart of a peak clipping and valley filling method provided in an embodiment of the present application, which is applied to a power supply system, where the power supply system includes an energy management system EMS, a battery management system BMS, and m energy storage devices, where m is an integer greater than 1; the method may comprise the steps of:

s201, acquiring a plurality of basic data from different sources through the EMS to obtain a plurality of groups of basic data; and classifying the multiple groups of basic data to obtain power generation basic data and user basic data.

In an embodiment of the present application, the basic data may include at least one of the following: historical electricity usage data, historical electricity generation data, regional electricity usage planning, weather data, news media data, and the like.

In specific implementation, a plurality of basic data of different sources are obtained through EMS, so as to obtain a plurality of groups of basic data, specifically, historical electricity utilization data can be obtained from data sources such as an electric power supply company, an energy market or an electric power transaction platform, or can cooperate with government electricity utilization planning departments or enterprise users in a power supply area of a power supply system so as to obtain electricity utilization planning of the government electricity utilization planning departments or enterprise users, weather data and the like can be obtained from a public weather station database, so as to obtain a plurality of groups of basic data, and then the plurality of groups of basic data are subjected to classification processing, so as to obtain power generation basic data and user basic data, for example: the historical electricity consumption data and the weather data can be divided into the user basic data, and the historical electricity consumption data comprises the electricity consumption, the load and other data of the user in the past time, so that the electricity consumption of the next time period can be simply estimated according to the historical electricity consumption data, the weather data and the historical electricity generation data can be divided into the electricity generation basic data, the limitation is not made herein, and the electricity generation basic data and the user basic data are obtained after the classification is completed.

It should be explained that the power generation basic data and the user basic data are not two completely different data, and may have coincident data, for example, weather data mentioned above, which has an influence on not only power generation but also user power consumption, so that the weather data exist in the power generation basic data and the user basic data at the same time, that is, the division of plural sets of basic data is divided according to the influence of the data, one set of basic data has an influence on power generation and can be divided into the power generation basic data, and the influence on user power consumption and the two are divided into the user basic data.

S202, predicting target power generation quantity of a power supply system in a preset time period according to the power generation basic data through the EMS; and predicting the target electricity consumption of the user in the preset time period according to the user basic data.

In this embodiment of the present application, the preset time period may be preset or default.

In the implementation, the target power generation electric quantity of the power supply system in a preset time period can be predicted by the EMS according to the power generation basic data; the target electricity consumption of the user in the preset time period can also be predicted according to the basic data of the EMS user

Optionally, referring to fig. 3, step S202, predicting, by the EMS, the target power generation amount of the power supply system in the preset period of time according to the power generation basis data may include the steps as shown in fig. 3:

a1, sampling the power generation basic data to obtain a plurality of sampling data, wherein each sampling data corresponds to one sampling time;

a2, determining a plurality of coordinate points according to the plurality of sampling data;

a3, fitting the coordinate points to obtain a power generation curve;

a4, determining the reference power generation electric quantity of the power supply system in the preset time period according to the power generation curve;

a5, acquiring a target environment parameter;

a6, determining a target regulation parameter corresponding to the target environment parameter;

and A7, adjusting the reference power generation electric quantity according to the target adjustment parameter to obtain the target power generation electric quantity.

In an embodiment of the present application, the sampling method may include at least one of the following: random sampling, equidistant sampling, peak sampling, etc., the environmental parameters may include at least one of: air temperature, air humidity, illumination intensity, magnetic field intensity, and the like, are not limited herein.

In specific implementation, the power generation basic data may be sequenced first, the sequenced power generation basic data may be obtained by sequencing the occurrence time of the power generation basic data, the sequenced power generation basic data may be sampled, specifically, equidistant sampling may be performed on the sequenced power generation basic data at equal intervals, a plurality of sampling data may be obtained, each sampling data corresponds to a sampling time, a plurality of coordinate points may be determined according to the sampling data and the sampling time, the plurality of coordinate points may be fitted, a power generation curve may be obtained, an abscissa of the power generation curve is time, and an ordinate of the power generation curve is generated.

Then, determining the reference power generation amount of the power supply system in the preset time period according to the power generation curve, specifically, after drawing the power generation curve in the sampling time, drawing a predicted power generation curve in the preset time period according to the trend of the fitted power generation curve and combining the time range of the preset time period, then, calculating the total power generation amount in the preset time period by integrating the predicted power generation curve, namely, the reference power generation amount, because each point on the predicted power generation curve only represents the power generation amount of the corresponding time point and is an instantaneous amount, integrating the predicted power generation curve to obtain the total power generation amount in the preset time period, further, obtaining a target environment parameter around the power supply system, specifically, the target environment parameter can be an air temperature, measuring the air temperature by a temperature sensor, measuring a plurality of temperatures, adopting the average temperature of the plurality of temperatures as the target environment parameter of the power supply system, then, storing the mapping relation between the preset environment parameter and the adjusting parameter in advance, wherein the value range of the adjusting parameter is-0.2 to 0.2, and determining the adjusting parameter according to the specific power generation amount, and obtaining the adjusting parameter according to the target power generation amount:

Target power generation amount=reference power generation amount (1+ target regulation parameter)

In this way, the power generation basic data are sampled, the obtained sampled data are fitted to obtain a power generation curve, the power generation electric quantity of the power supply system in a preset time period is predicted according to the power generation curve to obtain a reference power generation electric quantity, a power supply plan can be formulated in advance through predicting the future generated power, the distribution and the scheduling of power resources are reasonably arranged, the condition of insufficient power supply or excessive power supply is avoided, the efficiency and the stability of the power supply system are improved, in addition, the reference power generation electric quantity can be adjusted according to the surrounding environment condition of the power supply system to obtain a target power generation electric quantity, and therefore the adjusted power generation electric quantity is closer to the real power generation electric quantity, real and accurate data are provided for a decision maker to make a more scientific and reasonable decision.

Optionally, referring to fig. 4, in step S202, the user base data includes user power data of each time period; the predicting the target electricity consumption of the user in the preset time period according to the user basic data may further include the steps as shown in fig. 4:

b1, acquiring user electric quantity data corresponding to the preset time period in each day from the user basic data to obtain at least one piece of user electric quantity data;

B2, determining a target mean value and a target mean square error of the at least one piece of user electric quantity data;

b3, optimizing the target mean value according to the target mean square error to obtain reference user electric quantity;

b4, acquiring temperature change data;

b5, fitting through the temperature change data to obtain a fitting straight line;

b6, obtaining a target slope of the fitting straight line;

b7, determining a target fine adjustment coefficient corresponding to the target slope;

and B8, fine tuning the reference user electric quantity through the target fine tuning coefficient to obtain the target electric quantity.

It should be noted that, there is no fixed sequence between the steps A1 to A7 and the steps B1 to B8, the steps A1 to A7 may be performed first, or the steps B1 to B8 may be performed first, or both may be performed simultaneously, which is not limited herein.

In this embodiment, the user power data may include at least one of the following: the amount of electricity used, the time of electricity used, the electricity fee, the type of electricity used, etc., are not limited herein.

In a specific implementation, firstly, user electric quantity data corresponding to a preset time period in each day is obtained from user basic data to obtain at least one piece of user electric quantity data, specifically, the user electric quantity data can be electric quantity data, the user basic data can be sequenced according to time, the data of each day is searched for, the time period corresponding to the preset time period is found, the user electric quantity data of the time period is obtained, if the time period corresponding to the preset time period is not found, the user electric quantity data of the day is not collected, in general, n pieces of user electric quantity data can be obtained if the basic data of the user basic data of n days exist, then, the target mean value and the target mean value of the n pieces of obtained user electric quantity data can be calculated, the target mean value can be optimized according to the target mean value to obtain reference user electric quantity, specifically, an optimization factor can be determined according to the value of the target mean value, the mapping relation between the preset mean value and the optimization factor can be preset, the optimization factor corresponding to the mean value can be determined based on the mapping relation, the value range of the optimization factor is-0.1 to 0.1=1, and the target mean value is optimized according to the target mean value (the target electric quantity is 1+the target electric quantity), so that the user electric quantity is obtained.

Next, temperature change data are obtained, specifically, a plurality of temperature sensors are installed in a power supply system, the temperature is monitored in real time, the temperature information is uploaded to an EMS, after the EMS receives the plurality of temperatures, the temperature average value of the temperature sensors is calculated, the temperature average value is taken as the overall temperature of the power supply system, the temperature change data are obtained, further, fitting is carried out through the temperature change data, a fitting straight line is obtained, specifically, a linear regression method can be used for fitting, a fitting straight line is obtained, and a straight line equation fitted through linear regression is: y=ax+b, where a is a slope, b is an intercept, further, a target slope of the fitting straight line is obtained, the target slope is a slope a, a corresponding target trimming coefficient is obtained according to the target slope, the target trimming coefficient is used for trimming the reference user electric quantity to obtain the target electric quantity, specifically, a mapping relationship between a preset slope and the trimming coefficient can be preset, the target trimming coefficient corresponding to the target slope can be determined based on the mapping relationship, the numerical range of the trimming coefficient is generally-0.2, and then the reference user electric quantity is trimmed according to the target trimming coefficient, specifically as follows:

Target user power = reference user power (1 + target trim factor)

In this way, firstly, user electric quantity data corresponding to a preset time period are obtained through user basic data, a target mean value and a target mean square error of the user electric quantity data are calculated, the target mean value is optimized according to the target mean square error to obtain reference user electric quantity, the reference user electric quantity, namely, the expected electric quantity level in the preset time period, can be obtained through optimizing the target mean value, and can be used as a reference for subsequent analysis, for example, the reference user electric quantity can be compared with actual user electric quantity, and the electric quantity consumption condition of a user is estimated or further prediction and planning are carried out; then, temperature change data are obtained through monitoring temperature change of the system, fitting is carried out on the temperature change data, a target slope of a fitting straight line is calculated, fine adjustment is carried out on the reference user electric quantity according to the target slope, the target power consumption is obtained, temperature is an important factor influencing the consumption of the user electric quantity, the influence rule of temperature on the electric quantity can be known more accurately through monitoring and fitting the temperature change data, the influence of temperature change on the actual power consumption can be reflected better through fine adjustment of the reference user electric quantity according to the target slope, and therefore the accuracy of the target power consumption is improved.

S203, determining a ratio between the target power generation electric quantity and the target power consumption electric quantity through the EMS; when the ratio is in a first preset range, determining that the peak clipping strategy is a target peak clipping and valley filling strategy; the lower threshold value of the first preset range is larger than 1; when the ratio is in the second preset range, determining that the filling Gu Ce is slightly the target peak clipping and valley filling strategy; the upper threshold of the second preset range is smaller than 1.

In this embodiment of the present application, the first preset range and the second preset range may be preset or default, and of course, the preset ranges may also be adjusted and set by a system operator; the peak clipping and valley filling strategies generally comprise two strategies, namely, when the power generation amount of the power supply system is higher than the power consumption amount of a user, the EMS system stores the electric energy by using energy storage equipment so as to balance the load of the power supply system and prevent the electric energy from being wasted; the valley filling strategy refers to that when the generated energy of the power supply system is lower than the electricity consumption of a user, the EMS system releases the electric energy in the energy storage equipment so as to meet the electricity consumption requirement of the user.

In a specific embodiment, since the target power generation amount and the target power consumption amount have been obtained through the above steps, the ratio between the target power generation amount and the target power consumption amount may be directly calculated. And determining that the target peak clipping and valley filling strategy is a peak clipping strategy when the ratio is in a first preset range by judging the range of the ratio, wherein the first preset range can be 1.2-5, and setting the target peak clipping and valley filling strategy as the peak clipping strategy when the ratio is in the range, and executing peak clipping operation on the system.

In addition, when the ratio is in a second preset range, the target peak clipping and valley filling strategy is determined to be a valley filling strategy, specifically, the second preset range may be 0-0.8, and when the ratio is determined to be in the range, the target peak clipping and valley filling strategy may be set to be a valley filling strategy, and the valley filling operation is performed on the system.

It should be explained that the first preset range and the second preset range may be changed, the specific values are only for easy understanding, the setting of the preset range in actual implementation needs to be based on actual power demand and power generation capacity, and the setting is adjusted by combining experience and optimization targets of operation of the power supply system, and the reasonable preset range is obtained by continuously optimizing and adjusting the preset range, so that a more effective peak clipping and valley filling strategy is realized, and the operation efficiency and the sustainability of the power supply system are improved.

Therefore, the peak clipping and valley filling strategies to be adopted are determined by judging the range of the ratio between the target power generation electric quantity and the target power consumption electric quantity, namely, when the power generation electric quantity is higher than the power consumption electric quantity, the peak clipping operation is carried out on the system, and when the power generation electric quantity is lower than the power consumption electric quantity, the valley filling operation is carried out on the system, and the load and supply of the power supply system can be balanced, the pressure brought by the load peak is reduced, the reliability and the stability of the power system are improved, and the risk of power failure is reduced by executing the target peak clipping and valley filling strategies.

Optionally, in step S203, the determining, by the EMS, a ratio between the target generated electricity amount and the target used electricity amount may further include the following steps:

31. acquiring the target power generation electric quantity at the ith moment; the ith moment is any moment of the preset time period;

32. acquiring the target electricity consumption corresponding to the ith moment;

33. the ratio between the target power generation amount and the target power consumption amount is determined.

In this embodiment of the present application, the ith moment is any moment in a preset time period, the target power generation electric quantity at the ith moment may be obtained through the EMS, then, the target power consumption electric quantity corresponding to the ith moment may also be obtained through the EMS, and the ratio between the target power generation electric quantity and the target power consumption electric quantity may be calculated.

Optionally, the ratio between the total power generation amount and the total power consumption amount in the preset time period can be used as the basis for judging the target peak clipping and valley filling strategy, namely, the ratio between the target power generation amount and the target power consumption amount at the ith moment is not used for judging, but the ratio between the total power generation amount and the total power consumption amount in the preset time period is used for replacing the ratio at the ith moment.

Therefore, firstly, a moment is selected from a preset time period, namely, the ith moment, the target power generation electric quantity and the target power consumption electric quantity at the ith moment are obtained through the EMS, then the ratio between the target power generation electric quantity and the target power consumption electric quantity at the ith moment is calculated, and the specific moment is selected for calculation, so that the ratio between the target power generation electric quantity and the target power consumption electric quantity at the moment can be timely obtained, the state of the power system can be monitored in real time, and the basis is provided for adjustment of peak clipping and valley filling strategies.

S204, determining a difference relation between the target power generation electric quantity and the target power consumption electric quantity through the BMS, and controlling the m energy storage devices to execute the target peak clipping and valley filling strategy according to the difference relation.

In the embodiment of the application, the difference relation between the target power generation electric quantity and the target power consumption electric quantity is determined through the BMS, m energy storage devices are controlled to execute a target peak clipping and valley filling strategy according to the difference relation, specifically, when the difference relation is that the target power generation electric quantity is larger than the target power consumption electric quantity, the target peak clipping and valley filling strategy is executed, the m energy storage devices are controlled to charge through the EMS, and redundant electric quantity is stored, so that electric quantity waste is prevented; when the difference relation is that the target power generation electric quantity is smaller than the target power consumption electric quantity, a target peak clipping and valley filling strategy is executed, the m energy storage devices are controlled to discharge through the EMS, the electric quantity stored in the energy storage devices is released and provided for users to use, and the electric quantity is ensured to meet the power consumption requirement of the users.

Optionally, when the target peak clipping policy Gu Ce is slightly the peak clipping policy, in step S204, the determining, by the BMS, a difference relationship between the target generated electricity quantity and the target used electricity quantity, and controlling the m energy storage devices to execute the target peak clipping policy according to the difference relationship may include the following steps:

c1, determining a difference value between the target power generation electric quantity and the target power consumption electric quantity to obtain a residual electric quantity;

c2, acquiring chargeable quantity of each energy storage device in the m energy storage devices;

c3, picking a pieces of energy storage equipment from the m pieces of energy storage equipment, wherein the sum of chargeable amounts of the a pieces of energy storage equipment is larger than or equal to the residual electric quantity; a is a positive integer;

and C4, charging the a energy storage devices so that the a energy storage devices can reserve the residual electric quantity.

In this embodiment of the present application, the chargeable amount refers to an amount of electricity that can be stored by the energy storage device at the current time, that is, the chargeable amount is equal to the capacity of the energy storage device minus the amount of electricity stored by the energy storage device.

In specific implementation, the difference between the target power generation electric quantity and the target power consumption electric quantity can be calculated first to obtain the residual electric quantity, which is specifically as follows:

Remaining capacity=target power generation capacity-target power consumption capacity

Next, the BMS may obtain the chargeable amount of each of the m energy storage devices in the system, specifically, the BMS may use the sensor to measure parameters such as voltage, current, temperature, etc. for each energy storage device, these parameters may help the BMS determine the current state of the energy storage device, the BMS may also process and analyze the collected data by connecting with the energy storage device, collect the data measured by the sensor, so as to determine the chargeable amount of each energy storage device, for example, the BMS may use a numerical algorithm to calculate the chargeable amount of the energy storage device, or the BMS may obtain the current stored electric quantity of the energy storage device first, and then subtract the current stored electric quantity from the capacity of the energy storage device, so as to obtain the chargeable amount.

Further, a pieces of energy storage equipment can be selected from the m pieces of energy storage equipment through the BMS, the sum of chargeable amounts of the a pieces of energy storage equipment is larger than or equal to the residual electric quantity, the a pieces of energy storage equipment are charged through the system, the a pieces of energy storage equipment can store the residual electric quantity, specifically, the m pieces of energy storage equipment can be ordered according to the chargeable amounts by the BMS, the largest chargeable amount is 1, the second largest serial number is 2, and the like, the energy storage equipment with the front serial number is preferentially selected, meanwhile, a chargeable sum Q1 can be set, the sum Q1 is initialized to 0, each piece of energy storage equipment is selected, the chargeable amount of the energy storage equipment is added to the sum Q1, the sum is compared with the residual electric quantity, if the sum Q1 is larger than the residual electric quantity, the selection is stopped, otherwise, the energy storage equipment is continuously selected until the sum Q1 is larger than the residual electric quantity, the number of the selected energy storage equipment is marked as a, the a pieces of energy storage equipment are then charged through the system, and the a pieces of energy storage equipment can store the residual electric quantity.

It should be noted that, the method of the BMS to pick out a energy storage devices from the m energy storage devices may be other methods, for example, according to the charging power of the energy storage devices, the distance between the energy storage devices and the power supply system, the required start time of the energy storage devices, and the like, which are not limited herein.

Therefore, the difference between the target power generation electric quantity and the target power consumption electric quantity is calculated to obtain the residual electric quantity, the chargeable quantity of each energy storage device in the system is determined, a pieces of energy storage devices are selected, the sum of chargeable quantities of the a pieces of energy storage devices is larger than or equal to the residual electric quantity, the residual electric quantity is reserved through the a pieces of energy storage devices, the difference between the supply and demand of the power supply system can be balanced through selecting the proper energy storage devices to reserve the residual electric quantity, and the problems of insufficient power supply or excessive electric quantity waste are avoided.

Optionally, referring to fig. 5, in step C4, the charging the a energy storage devices may include the steps shown in fig. 5:

d1, acquiring a charging parameter of each energy storage device in the a energy storage devices to obtain a charging parameters; the charging parameters include at least one of: charging efficiency, time-consuming charging start and charging power;

D2, determining charging priorities corresponding to the a energy storage devices according to the a charging parameters to obtain a charging priorities;

d3, determining the charging sequence of the a energy storage devices according to the a charging priorities;

and D4, controlling the a energy storage devices to charge according to the charging sequence.

In the embodiment of the application, the charging parameters of each energy storage device in a pieces of energy storage devices are obtained, and a pieces of charging parameters are obtained; determining charging priorities corresponding to the a energy storage devices according to the a charging parameters to obtain a charging priorities; specifically, the charging parameters may be charging efficiency, the charging parameters of each energy storage device are obtained through the EMS to obtain a charging parameters, and then charging priorities of the a energy storage devices are classified according to the a charging parameters, which may be that the larger the charging parameters are, the larger the charging priorities are, so as to obtain a charging priorities; further, determining a charging sequence of the a energy storage devices according to the a charging priorities; the charging sequence of the a energy storage devices is controlled according to the charging sequence, specifically, the charging sequence can be performed according to the magnitude of the charging priority, the charging priority is arranged in front, the charging priority is arranged behind, the charging sequence of the a energy storage devices is obtained, and the a energy storage devices are controlled according to the charging sequence.

In this way, charging parameters of the a energy storage devices are obtained, the charging priority of the energy storage devices is determined according to the charging parameters, and the charging sequence is determined according to the charging priority; the charging priority is determined by controlling the a energy storage devices according to the charging sequence, so that the power resources of the power supply system can be reasonably distributed according to the charging parameters of the energy storage devices, the charging capacity of the energy storage devices can be well utilized, and the charging efficiency and the charging speed are improved.

Optionally, when the target peak clipping and filling Gu Ce is slightly the valley filling policy, in step S204, the BMS determines a difference relationship between the target power generation capacity and the target power consumption capacity, and controls the m energy storage devices to execute the target peak clipping and valley filling policy according to the difference relationship, and may further include the following steps:

e1, determining a difference value between the target power generation electric quantity and the target power consumption electric quantity to obtain a shortage electric quantity;

e2, acquiring the stored electric quantity of each energy storage device in the m energy storage devices;

e3, picking out b energy storage devices from the m energy storage devices, wherein the sum of the stored electric quantity of the b energy storage devices is larger than or equal to the shortage electric quantity; b is a positive integer;

And E4, controlling the b energy storage devices to supply power to the power supply system, so that the b energy storage devices provide the shortage electric quantity.

In this embodiment of the present application, the stored electric quantity refers to an electric quantity stored in the energy storage device, that is, the stored electric quantity is an electric quantity contained in the energy storage device before the peak clipping and valley filling policies are performed.

In specific implementation, the difference between the target power generation electricity quantity and the target power consumption electricity quantity can be calculated to obtain the shortage electricity quantity, which is as follows:

shortage amount = target electricity consumption amount-target electricity generation amount

The stored electricity quantity of each of the m energy storage devices in the system can be obtained by the BMS, specifically, the BMS can use the sensor to measure parameters such as voltage, current and temperature of each energy storage device, the parameters can help the BMS determine the current state of the energy storage device, the BMS can also be connected with the energy storage device to collect data measured by the sensor, the BMS can process and analyze the collected data to determine the stored electricity quantity of each energy storage device, for example, a current integration method can be adopted, the BMS can estimate the electricity quantity stored by the energy storage device by monitoring the charge and discharge current of the energy storage device and integrating the current into the electricity quantity, and the total quantity of charge or discharge can be obtained by integrating the current, so as to determine the stored electricity quantity of the energy storage device.

Further, b energy storage devices may be selected from the m energy storage devices by the BMS, the sum of the stored electric quantities of the b energy storage devices is greater than or equal to the shortage electric quantity, specifically, the BMS may sort the m energy storage devices according to the distance between the energy storage devices and the power supply system, the closest serial number is 1, the second closest serial number is 2, and so on, the energy storage device with the front serial number is preferentially selected, and meanwhile, a sum Q2 of the stored electric quantities may be set, the sum Q2 is initialized to 0, each selected one energy storage device may add the stored electric quantity of the energy storage device to the sum Q2, and compare with the shortage electric quantity, if the sum Q2 is greater than the shortage electric quantity, the selection is stopped, otherwise, the energy storage devices are continuously selected until the sum Q2 is greater than the shortage electric quantity, at this time, the number of the selected energy storage devices is denoted as b, the b energy storage devices are controlled to supply power to the power supply system, the shortage electric demand of the user is met by the b energy storage devices, and other methods may be adopted to select the energy storage devices, wherein the method is not limited to the shortage electric quantity.

Therefore, the difference between the target power generation electric quantity and the target power consumption electric quantity is calculated to obtain the shortage electric quantity, the stored electric quantity of each energy storage device in the system is determined, b energy storage devices are selected from the stored electric quantities, the sum of the stored electric quantities of the b energy storage devices is larger than or equal to the shortage electric quantity, the system is powered through the b energy storage devices, the shortage electric quantity is filled, the change of power demand can be responded quickly, the difference between supply and demand is balanced, the fluctuation of the frequency and the voltage of the power supply system is reduced, the power supply system is ensured to operate in a stable working state, and the stability of the power supply system is improved.

It can be seen that the peak clipping and valley filling method provided by the embodiment of the application is applied to a power supply system, wherein the power supply system comprises an Energy Management System (EMS), a Battery Management System (BMS) and m energy storage devices, and m is an integer greater than 1; the method comprises the steps of obtaining basic data of a plurality of different sources through EMS to obtain a plurality of groups of basic data; classifying the multiple groups of basic data to obtain power generation basic data and user basic data; predicting the target power generation electric quantity of the power supply system in a preset time period according to the power generation basic data by using the EMS; predicting target electricity consumption of the user in a preset time period according to the user basic data; determining a target peak clipping and valley filling strategy in a preset time period according to the target power generation electric quantity and the target power consumption electric quantity through the EMS; the BMS is used for controlling m energy storage devices to execute a target peak clipping and valley filling strategy; on one hand, the conditions of power generation and power consumption can be more comprehensively known by integrating data of a plurality of sources, key factors influencing the generated energy and the power consumption of a user can be identified by analyzing the data, so that the prediction accuracy of the EMS is improved, on the other hand, the operation of the energy storage device and the scheduling of power consumption load are reasonably arranged by adjusting the target peak clipping and valley filling strategies of the EMS according to the target generated energy and the target power consumption of a preset time period, so that the balance of a power supply system is realized, the power generation and power consumption plans are optimized, and the peak clipping and valley filling effects are improved.

In summary, by implementing the method of the embodiment, the prediction accuracy of the EMS is improved, so that a peak clipping and valley filling strategy can be better formulated according to actual conditions, the operation of the energy storage device is reasonably arranged, and the peak clipping and valley filling effects are improved.

In accordance with the above embodiments, referring to fig. 6, fig. 6 is a functional block diagram of a peak clipping and valley filling device 600 provided in the embodiment of the present application, which is applied to a power supply system, where the power supply system includes an energy management system EMS, a battery management system BMS, and m storage devices, and the peak clipping and valley filling device 600 includes an acquisition unit 601, a prediction unit 602, and a control unit 603, where,

the acquiring unit 601 is configured to acquire a plurality of basic data of different sources through the EMS, so as to obtain a plurality of groups of basic data; classifying the multiple groups of basic data to obtain power generation basic data and user basic data;

the prediction unit 602 is configured to predict, by using the EMS, a target power generation amount of the power supply system in a preset period of time according to the power generation base data; predicting the target electricity consumption of the user in the preset time period according to the user basic data;

the control unit 603 is configured to determine, by the EMS, a ratio between the target generated electricity amount and the target used electricity amount; when the ratio is in a first preset range, determining that the peak clipping strategy is a target peak clipping and valley filling strategy; the lower threshold value of the first preset range is larger than 1; when the ratio is in the second preset range, determining that the filling Gu Ce is slightly the target peak clipping and valley filling strategy; the upper threshold value of the second preset range is smaller than 1; and the BMS is also used for determining a difference relation between the target power generation electric quantity and the target power consumption electric quantity, and controlling the m energy storage devices to execute the target peak clipping and valley filling strategy according to the difference relation.

Optionally, in the aspect that the EMS predicts the target power generation amount of the power supply system in a preset period according to the power generation basis data, the prediction unit 602 is specifically configured to:

sampling the power generation basic data to obtain a plurality of sampling data, wherein each sampling data corresponds to one sampling time;

determining a plurality of coordinate points according to the plurality of sampling data;

fitting the coordinate points to obtain a power generation curve;

determining the reference power generation electric quantity of the power supply system in the preset time period according to the power generation curve;

acquiring a target environment parameter;

determining a target adjustment parameter corresponding to the target environmental parameter;

and adjusting the reference power generation electric quantity according to the target adjustment parameter to obtain the target power generation electric quantity.

Optionally, the user basic data comprises user power data of each time period; the predicting unit 602 is further specifically configured to:

acquiring user electric quantity data corresponding to the preset time period in each day from the user basic data to obtain at least one piece of user electric quantity data;

Determining a target mean and a target mean square error of the at least one user power data;

optimizing the target mean value according to the target mean square error to obtain reference user electric quantity;

acquiring temperature change data;

fitting is carried out through the temperature change data, so that a fitting straight line is obtained;

obtaining a target slope of the fitting straight line;

determining a target fine tuning coefficient corresponding to the target slope;

and fine tuning the reference user electric quantity through the target fine tuning coefficient to obtain the target electric quantity.

Optionally, when the target peak clipping policy Gu Ce is slightly the peak clipping policy, the BMS determines a difference relationship between the target generated electricity quantity and the target used electricity quantity, and controls the m energy storage devices to execute the target peak clipping and valley filling policy according to the difference relationship, and the control unit 603 is specifically configured to:

determining a difference value between the target power generation electric quantity and the target power consumption electric quantity to obtain a residual electric quantity;

acquiring chargeable quantity of each energy storage device in the m energy storage devices;

picking a energy storage devices from the m energy storage devices, wherein the sum of the chargeable amounts of the a energy storage devices is greater than or equal to the residual electric quantity; a is a positive integer;

And charging the a energy storage devices so that the a energy storage devices can reserve the residual electric quantity.

Optionally, when the a energy storage devices are charged, the control unit 603 is specifically configured to:

acquiring a charging parameter of each energy storage device in the a energy storage devices to obtain a charging parameters; the charging parameters include at least one of: charging efficiency, time-consuming charging start and charging power;

determining charging priorities corresponding to the a energy storage devices according to the a charging parameters to obtain a charging priorities;

determining the charging sequence of the a energy storage devices according to the a charging priorities;

and controlling the a energy storage devices to charge according to the charging sequence.

Optionally, when the target peak clipping and filling Gu Ce is slightly the valley filling policy, the BMS determines a difference relationship between the target power generation capacity and the target power consumption capacity, and controls the m energy storage devices to execute the target peak clipping and valley filling policy according to the difference relationship, and the control unit 603 is specifically configured to:

determining a difference value between the target power generation electric quantity and the target power consumption electric quantity to obtain a shortage electric quantity;

Acquiring the stored electric quantity of each energy storage device in the m energy storage devices;

picking out b energy storage devices from the m energy storage devices, wherein the sum of the stored electric quantity of the b energy storage devices is greater than or equal to the shortage electric quantity; b is a positive integer;

and controlling the b energy storage devices to supply power to the power supply system, so that the b energy storage devices provide the shortage electric quantity.

Optionally, in terms of the determining, by the EMS, a ratio between the target generated electricity amount and the target used electricity amount, the control unit 603 is specifically configured to:

acquiring the target power generation electric quantity at the ith moment; the ith moment is any moment of the preset time period;

acquiring the target electricity consumption corresponding to the ith moment;

the ratio between the target power generation amount and the target power consumption amount is determined.

It can be understood that the functions of each program module of the peak clipping and valley filling device 600 in this embodiment may be specifically implemented according to the method in the above method embodiment, and the specific implementation process may refer to the related description of the above method embodiment, which is not repeated herein.

In accordance with the above-mentioned embodiments, referring to fig. 7, fig. 7 is a schematic structural diagram of an electronic device provided in the embodiment of the present application, and as shown in fig. 7, the electronic device includes a processor, a memory, a communication interface, and a computer program stored in the memory and configured to be executed by the processor, and is applied to a power supply system, where the power supply system includes an energy management system EMS, a battery management system BMS, and m energy storage devices, and m is an integer greater than 1; in an embodiment of the present application, the above-mentioned computer program includes instructions for performing the steps of:

Optionally, in the aspect that the EMS predicts the target power generation amount of the power supply system in a preset period of time according to the power generation basis data, the computer program includes instructions for performing the following steps:

fitting the coordinate points to obtain a power generation curve;

acquiring a target environment parameter;

Optionally, the user basic data includes user power data of each time period; in said predicting a target power usage of the user in said preset time period based on said user base data, said computer program comprises instructions for:

Acquiring temperature change data;

obtaining a target slope of the fitting straight line;

determining a target fine tuning coefficient corresponding to the target slope;

Optionally, when the target peak clipping and filling Gu Ce is slightly the peak clipping policy, determining, by the BMS, a difference relationship between the target generated electricity quantity and the target used electricity quantity, and controlling the m energy storage devices to execute the aspect of the target peak clipping and filling policy according to the difference relationship, where the computer program includes instructions for executing the following steps:

Optionally, in said charging the a energy storage devices, the above computer program comprises instructions for:

Optionally, when the target peak clipping and filling Gu Ce is slightly the valley filling policy, determining, by the BMS, a difference relationship between the target generated electricity quantity and the target used electricity quantity, and controlling the m energy storage devices to execute the target peak clipping and valley filling policy according to the difference relationship, where the computer program includes instructions for executing the following steps:

Optionally, in said determining, by said EMS, a ratio between said target generated electrical quantity and said target used electrical quantity, said computer program comprises instructions for:

acquiring the target electricity consumption corresponding to the ith moment;

The embodiment of the application also provides a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to execute part or all of the steps of any one of the methods described in the embodiments of the method, where the computer includes an electronic device.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. The peak clipping and valley filling method is characterized by being applied to a power supply system, wherein the power supply system comprises an energy management system EMS, a battery management system BMS and m energy storage devices, and m is an integer greater than 1; the method comprises the following steps:

2. The method of claim 1, wherein predicting, by the EMS, a target power generation amount of the power supply system for a preset period of time based on the power generation basis data, comprises:

fitting the coordinate points to obtain a power generation curve;

acquiring a target environment parameter;

3. A method according to claim 1 or 2, wherein the user base data comprises user power data for each time period; the predicting the target electricity consumption of the user in the preset time period according to the user basic data comprises the following steps:

acquiring temperature change data;

obtaining a target slope of the fitting straight line;

determining a target fine tuning coefficient corresponding to the target slope;

4. The method of claim 1, wherein when the target peak clipping policy is the target peak clipping policy Gu Ce, the determining, by the BMS, a difference relationship between the target generated electricity amount and the target used electricity amount, and controlling the m energy storage devices to execute the target peak clipping policy according to the difference relationship, comprises:

5. The method of claim 4, wherein said charging the a energy storage devices comprises:

6. The method of claim 1, wherein when the target peak clipping and filling Gu Ce is slightly the valley filling strategy, the determining, by the BMS, a difference relationship between the target generated electricity amount and the target used electricity amount, and controlling the m energy storage devices to execute the target peak clipping and valley filling strategy according to the difference relationship, includes:

7. The method of claim 1, wherein the determining, by the EMS, a ratio between the target power generation amount and the target power consumption amount includes:

acquiring the target electricity consumption corresponding to the ith moment;

8. A peak clipping and valley filling device, comprising: the peak clipping and valley filling device is applied to a power supply system, the power supply system comprises an energy management system EMS, a battery management system BMS and m storage devices, the peak clipping and valley filling device comprises an acquisition unit, a prediction unit and a control unit, wherein,

9. An electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of any one of claims 1 to 7 when the computer program is executed.

10. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the method according to any one of claims 1 to 7.