CN118539451A - Group control method and device oriented to power demand response, cloud platform and storage medium - Google Patents
Group control method and device oriented to power demand response, cloud platform and storage medium Download PDFInfo
- Publication number
- CN118539451A CN118539451A CN202410504026.3A CN202410504026A CN118539451A CN 118539451 A CN118539451 A CN 118539451A CN 202410504026 A CN202410504026 A CN 202410504026A CN 118539451 A CN118539451 A CN 118539451A
- Authority
- CN
- China
- Prior art keywords
- response
- devices
- expected
- load aggregation
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000004044 response Effects 0.000 title claims abstract description 371
- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000002776 aggregation Effects 0.000 claims abstract description 64
- 238000004220 aggregation Methods 0.000 claims abstract description 64
- 238000012545 processing Methods 0.000 claims abstract description 3
- 238000004378 air conditioning Methods 0.000 claims description 37
- 230000005611 electricity Effects 0.000 claims description 33
- 238000012937 correction Methods 0.000 claims description 26
- 230000004043 responsiveness Effects 0.000 description 9
- 230000000694 effects Effects 0.000 description 8
- 230000001276 controlling effect Effects 0.000 description 6
- 238000005265 energy consumption Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000002411 adverse Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000036316 preload Effects 0.000 description 1
- 239000003507 refrigerant Substances 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A group control method, device, cloud platform and storage medium for power demand response, wherein the method comprises the following steps: before the response period starts, reporting the response quantity according to the estimated response quantity of all the devices participating in the load aggregation; after the response period starts, controlling the response quantity of all the equipment issuing control instructions participating in the load aggregation; during the response, the following processing is periodically performed: obtaining actual response amounts from all devices currently; and under the condition that the actual response quantity is smaller than the expected response quantity, selecting a device with the residual response quantity from all devices participating in load aggregation to increase the response quantity, wherein the expected response quantity is determined according to the reported response quantity, and the actual response quantity from all devices can be expected.
Description
Technical Field
The application relates to the field of power system demand response control, in particular to a group control method and device for power demand response, a cloud platform and a storage medium.
Background
In the electricity consumption structure, the building energy consumption occupies a large proportion, and the energy consumption of the central air conditioning system occupies more than 1/3 of the building energy consumption. Especially in the peak of electricity consumption in summer, the energy consumption contributed by the air conditioning load can reach more than half of the total energy consumption of the building. Although the peak value of the power load is high, the duration is short, and if the power generation resource is additionally configured for meeting the requirement of the peak value of the power load, the economy is low, and the criterion of reducing the energy consumption is also violated. The air conditioning system is a thermodynamic system, and naturally has a margin for flexible control. Therefore, how to fully utilize the flexible part in the air conditioning system and perform the demand response action in the power peak period becomes a problem to be solved by the power grid.
Load aggregation is the aggregation of schedulable loads of devices together to form a scaled response resource. Load aggregators (LoadAggregator) are entities or organizations in the power market that are responsible for integrating and managing multiple dispersed power loads. The load aggregator obtains its consent to incorporate its electrical load into the load aggregation plan by contracting with the end user, monitors, controls and optimizes the devices involved in the load aggregation based on the energy management system or other related technology platform, and responds to the electrical demand in a centrally managed manner. Through the power Demand Response (Demand Response), the power consumption behavior of the equipment can be regulated when the reliability of the power system is threatened or the price of the power wholesale market is increased, so that the power consumption load in the peak period is reduced or shifted, the stability of the power grid is ensured, and the increase of the power price is restrained. "response volume" is a power load that is reduced relative to a baseline load by a load aggregator involved in power demand response regulating the devices during the response, and may be reported to a power system authority or operator prior to the response, but the actual response volume sometimes does not reach the reported response volume.
Disclosure of Invention
The application provides a group control method and device for power demand response, a cloud platform and a storage medium.
The group control method for power demand response provided by the embodiment of the application comprises the following steps:
before the response period starts, reporting the response quantity according to the estimated response quantity of all the devices participating in the load aggregation;
after the response period starts, controlling the response quantity of all the equipment issuing control instructions participating in the load aggregation;
During the response, the following processing is periodically performed: obtaining actual response amounts from all devices currently; and in the case that the actual response quantity is determined to be smaller than the expected response quantity, selecting a device with the residual response quantity from all the devices participating in load aggregation to increase the response quantity, wherein the expected response quantity is determined according to the reported response quantity.
Compared with the related art, in the technical scheme disclosed by the embodiment of the application, under the condition that the actual response quantity from all the devices is smaller than the expected response quantity, the device with the residual response quantity is selected from all the devices participating in load aggregation to increase the response quantity, so that the actual response quantity of all the devices participating in load aggregation can meet the expected requirement, and adverse effects such as unexpected reduction of the power grid load caused by factors such as failure in issuing a control instruction or poor regulation and control effect of the devices are avoided.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. Other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The accompanying drawings are included to provide an understanding of the principles of the application, and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the principles of the application.
FIG. 1 is an exemplary graph of response patch coefficients provided by an embodiment of the present application;
fig. 2 is a flow chart of a group control method for power demand response according to an embodiment of the present application;
fig. 3 is a flow chart of another group control method for power demand response according to an embodiment of the present application;
Fig. 4 is a block diagram of a group control device facing power demand response according to an embodiment of the present application;
fig. 5 is a schematic diagram of a cloud platform of a load aggregator according to an embodiment of the present application.
Detailed Description
The present application has been described in terms of several embodiments, but the description is illustrative and not restrictive, and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the described embodiments. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or in place of any other feature or element of any other embodiment unless specifically limited.
The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The disclosed embodiments, features and elements of the present application may also be combined with any conventional features or elements to form a unique inventive arrangement. Any feature or element of any embodiment may also be combined with features or elements from other inventive arrangements to form another unique inventive arrangement. It is therefore to be understood that any of the features shown and/or discussed in the present application may be implemented alone or in any suitable combination. Accordingly, the embodiments are not to be restricted except in light of the attached claims and their equivalents. Further, various modifications and changes may be made within the scope of the appended claims.
Furthermore, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other sequences of steps are possible as will be appreciated by those of ordinary skill in the art. Accordingly, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. Furthermore, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.
The devices participating in load aggregation in the application are all electric devices, which are simply called devices, and the electric devices can be air conditioning systems but are not limited to the air conditioning systems.
The load aggregator can estimate the response quantity of the equipment in the response period according to the performance parameters of the equipment, such as power, use environment, regulation strategy and the like, determine the reported response quantity according to the estimated response quantity of all the equipment participating in the load aggregation, issue control instructions to all the equipment to start the response after the response period starts, and reduce the power consumption of the equipment through regulation. However, in actual response, there are often problems that a control instruction is not issued to the device, or a regulation effect of the device is not good, so that the actual response quantity fluctuates, and the reported response quantity may not be reached, so that the reduction of the power grid load is not as expected, which is unfavorable for guaranteeing the stability of the power grid, and affects the benefits of a load aggregator, because the actual response quantity of all devices reaches the reported response quantity and does not reach the reported response quantity, different electricity prices or patches are enjoyed, fig. 1 is an exemplary diagram of a response patch coefficient, the abscissa of the diagram represents the ratio of the actual response quantity of all devices to the reported response quantity, the ordinate represents the patch coefficient, and as can be seen from fig. 1, the obtained policy patch is the most when the actual response quantity of all devices is close to the reported predicted response quantity.
In order to make the actual response volume of all devices conform to the expected response volume and optimize the user experience, the embodiment of the application provides a group control method facing to the power demand response, as shown in fig. 2, the method comprises the following steps:
Step S201, before the response period starts, reporting the response quantity according to the estimated response quantity of all the devices participating in the load aggregation;
The primary response may generally include: a pre-response period and a response period; the response period, also referred to as a response period, may be determined according to the specifications and arrangements of the grid operator or related institutions; a specific response period is defined by a response period start time and a response period end time; the response period can be adjusted according to different factors, such as actual power demand conditions, power supply capacity, market demands and the like, and the electricity consumption peak period is commonly used as the response period, such as the electricity consumption early peak 9:00-11:00 is taken as a response period, 15:00-17:00 of electricity consumption peak is taken as a response period, 18:00-20:00 of electricity consumption peak is taken as a response period, or the response period can be a specific period appointed in a response offer issued by a power grid operator; the conditions can be satisfied between the pre-response period and the response period of the same response: the ending time of the pre-response time is the starting time of the response period;
Controlling the load aggregation devices involved is a load aggregator, which issues control instructions to each of the power devices controlled by the load aggregator to control the response amounts of the power devices, e.g., to assign different response amounts to each of the power devices controlled; after receiving the control instruction of the aggregator, the power equipment responds according to the control instruction;
The amount of response can be measured in a number of ways, for example: absolute value: reduced total power or energy is expressed directly in kilowatts (kW) or kilowatt-hours (kWh); or, percent: representing the percentage of the reduced power amount to its total power consumption;
Step S202, after a response period starts, controlling the response amount of all equipment issuing control instructions which participate in load aggregation; and during the response, periodically performing the following: obtaining actual response amounts from all devices currently; in the case that the actual response quantity of all the devices is smaller than the expected response quantity, selecting a device with the residual response quantity from all the devices participating in load aggregation to increase the response quantity;
the device with the residual response capacity means that the actual response capacity of the device is smaller than the estimated response capacity of the device;
The expected response amount is determined from the reported response amount, and is, illustratively, equal to the reported response amount.
In this embodiment, when the actual response amount from all the devices is smaller than the expected response amount, the device with the remaining response amount is selected from all the devices participating in load aggregation to increase the response amount, so that the actual response amount of all the devices participating in load aggregation can reach the expected requirement, and adverse effects such as unexpected decrease of the power grid load caused by failure of issuing a control instruction or poor regulation and control effects of the devices are avoided.
In an exemplary embodiment of the present application, as shown in fig. 3, in step S201, reporting a response according to estimated response amounts of all devices participating in load aggregation includes:
step S2010, determining an estimated response amount of each device in all devices participating in load aggregation;
The method for determining the estimated response of each device may be various, for example, the maximum power limit value of the device is multiplied by a preset ratio to be used as the expected operation power of the device, and the estimated response of the device is determined according to the difference value between the maximum power limit value of the device and the expected operation power of the device; for another example, the estimated response is estimated according to the difference between the corresponding operating power and the current operating power when the device operates at the upper (or lower) limit of the user comfort temperature; for another example, when the equipment is an air conditioning system, the predicted response is determined by converting a certain proportion of the pre-load or the baseline load of the air conditioning system, wherein the baseline load refers to the predicted load of the power equipment under the condition of not participating in a demand response project, and the predicted load can be determined by participants such as a power company, a power system management mechanism, an energy service provider or a load aggregator; for another example, when the equipment is an air conditioning system, determining the estimated response by using the built thermal physical model of the building room and the air conditioning system energy efficiency model;
Step 2011, the result of multiplying the sum of the estimated response amounts of all the devices by a first correction coefficient is used as the reported response amount, and the first correction coefficient is smaller than 1.
In consideration of the fact that the actual response of all the devices cannot reach the expected response due to the adverse factors such as failure in issuing control instructions or poor regulation and control effects of the devices, the reported response is reduced when the response is reported, the reported response is smaller than the sum of the estimated responses of all the devices, and the fact that the actual response of all the devices reaches the requirement of the expected response is facilitated.
However, the reported response quantity is not smaller and better, if the reported response quantity is smaller, the load aggregator regulates and controls the equipment in a mode of lower response quantity, and the actual load of the response period is accurately estimated by the power grid operator, so that effective allocation is not good; otherwise, the load aggregator regulates and controls the equipment in a high-response mode, so that the actual response is obviously beyond the reported response, the excessive response cannot obtain corresponding benefits, and the user experience is not beneficial to optimization, for example, when an air conditioner is used for refrigerating, more response can be provided by increasing the set temperature, but the indoor temperature is increased due to the increase of the set temperature, so that the user experience is influenced.
Based on the above analysis, the embodiment of the application provides a method for determining a first correction coefficient: the first correction coefficient can be determined according to the issuing failure rate of the control instruction, for example, the first correction coefficient is equal to 1 minus the difference value of the issuing failure rate of the control instruction; the failure rate of the issuing of the control command can be obtained by directly inquiring a control log of the equipment or by counting historical data. Besides the fact that the actual response volume is affected by the failure of issuing the control command, other factors exist to cause that the actual response volume cannot reach the expected response volume, and therefore the first correction coefficient can be smaller than 1 minus the difference value of the failure rate of issuing the control command, and a margin is reserved for the reported response volume. For example, if the failure rate of issuing the control command is 20%, the total number of devices involved in load aggregation is 10, the estimated response of each device is 100kwh, the first correction coefficient may be 0.7 (0.7 < 1-20%), and the reported response is 0.7×100kwh×10=700 kwh, which is smaller than the sum of the estimated responses of all devices, 10×100kwh×10=1000 kwh.
In an exemplary embodiment of the present application, the controlling the response amount of the control command issued by all the devices participating in the load aggregation may further include: each device participating in load aggregation is subjected to response quantity control according to the estimated response quantity multiplied by a second correction coefficient; the second correction coefficient is greater than the first correction coefficient, and the second correction coefficient is less than 1.
If there are 10 devices participating in load aggregation, the estimated response of each device is 100kw, the failure rate of issuing control instructions is 20%, the first correction coefficient is 0.7, and the reported response is 0.7 x 100 kw=700 kw; the second correction coefficient may be 0.85; during the response period, performing response quantity control on all devices participating in load aggregation according to a second correction coefficient, wherein the actual response quantity of all available devices is 8 x 100kw 0.85=680 kw, namely each of 8 devices successfully participating in load aggregation has a residual response quantity of 15 kw; since the actual response 680kW of all devices is lower than the reported 700kW response, there is a 20kW response gap that can be filled by 8 devices with the remaining responsibilities.
As can be seen from the above examples, in the embodiment of the present application, the second correction coefficient for controlling the response amount of the device is smaller than 1, so that the actual response amount of each device is smaller than the estimated response amount of each device, so that it is ensured that the device that successfully responds to the control instruction has a residual response amount, and the residual response amount can be used to fill the gap that the actual response amount of all devices cannot reach the expected response amount. In addition, the application controls the response quantity of the equipment through the second correction coefficient, and can also consider the user comfort level and the response quantity requirement, because the control instruction issuing failure rate fluctuates, the second correction coefficient is relatively stable, if the issuing success rate is high (corresponding failure rate is low), the control according to the second correction coefficient can meet the expected response quantity requirement, and the comfort level is also improved; if the delivery success rate is low, the device also has a residual response volume that can be provided to meet the requirements of the expected response volume.
It should be noted that, controlling the response amounts of all the devices participating in the load aggregation according to the second correction coefficient may make all the devices successfully participating in the load aggregation have the remaining responsibilities, but this does not mean that only the devices successfully participating in the load aggregation have the remaining responsibilities, and if the response amounts of the devices are controlled according to the proportion of 100%, the devices successfully participating in the load aggregation may have the remaining responsibilities. For example, in the cooling mode, the indoor temperature corresponding to the indoor unit of the multi-split air conditioning system is less than the upper limit of the comfortable temperature interval, so that a new response can be provided by adjusting the set temperature of the indoor unit, and the adjustment of the set temperature of the indoor unit can be the behavior of a person, so that the load aggregator cannot control the system.
In an exemplary embodiment of the present application, there is provided a method for determining that an actual response amount of all devices is smaller than an expected response amount, including:
Judging whether the actual response quantity of all the devices participating in load aggregation is smaller than the reported response quantity or not until the response period is finished, if so, determining that the actual response quantity of all the devices is smaller than the expected response quantity; the actual response quantity of all the devices can be represented by the current running power or the electricity consumption from the beginning time of the response period to the current time. In an ideal situation, the running power of the equipment can be kept unchanged in the running process, in the actual situation, due to factors such as energy loss, the running power of the equipment can be changed, but the time for responding is short (the time is concentrated in 1 to 2 hours), the working conditions of the user side and the outdoor side are not changed greatly, so that the power of the equipment is not changed greatly, the response quantity determined by adopting the current running power of the equipment is not excessively different from the actual response quantity, and the current running power of the equipment is easy to realize in consideration of acquiring, so that the response quantity is simpler and easier to realize by detecting the power.
In another exemplary embodiment of the present application, there is also provided a method of determining that an actual response amount of all devices is smaller than an expected response amount, including:
In the case that the current operation power of all the devices participating in the load aggregation is greater than the expected operation power P exp during the response period, the actual response quantity of all the devices is smaller than the expected response quantity, wherein the expected operation power P exp during the response period is equal to the baseline power P base of all the devices participating in the load aggregation minus the response power P rep obtained according to the reported response quantity, namely P exp＝Pbase-Prep; when the reported response quantity is power, the response power can be directly equal to the reported response quantity; when the reported response quantity is the power consumption, the response power is the result obtained by dividing the reported response power consumption by the response period duration; or alternatively
Determining that the actual response quantity of all the devices participating in load aggregation is smaller than the expected response quantity under the condition that the actual power consumption of all the devices from the beginning time to the current time of the response period is larger than the expected power consumption; the expected electricity consumption refers to expected electricity consumption from the response starting time to the current time, the calculation mode is Q exp＝(Qline-Qrep)·Tcur/Tres;Qline, Q rep, T cur, T res, and T res, wherein the expected electricity consumption is the baseline electricity consumption of all devices participating in load aggregation, the response electricity consumption obtained according to the reported response quantity is the duration from the response starting time to the current time; the baseline electricity usage may be estimated based on the baseline load and the actual run time, which represents the total expected electricity usage by the user without implementing any demand response measures; when the reported response quantity is the power consumption, the response power consumption can be directly the reported response quantity; when the reported response quantity is power, the response electricity consumption can be the result obtained by multiplying the reported response quantity by the response period duration.
In an exemplary embodiment of the present application, the selecting a device having a remaining responsibilities from all devices participating in load aggregation to increase the responsibilities includes:
determining the response quantity to be increased according to the actual response quantity of all the devices and the reported response quantity;
Selecting a device with a remaining amount of responsiveness from all devices participating in load aggregation to increase the amount of responsiveness according to the amount of responsiveness required to be increased, such that an expected amount of responsiveness that can be increased is greater than or equal to the amount of responsiveness required to be increased, the expected amount of responsiveness that can be increased being determined according to a sum of the remaining amounts of responsiveness of the selected devices, the expected amount of responsiveness that can be increased being less than or equal to the sum of the remaining amounts of responsiveness of the selected devices;
Wherein the response amount to be increased may be equal to a difference between the reported response amount and the actual response amounts of all devices, and an exemplary method for calculating the difference includes:
Subtracting the expected operating power in the response period from the current operating power to obtain the response quantity to be increased under the condition that the current operating power of all the devices participating in load aggregation is larger than the expected operating power in the response period; illustratively, the current operating power of all devices is 700kw, the expected operating power during the response is 600kw, and the amount of response that needs to be increased is 700kw-600kw = 100kw;
Or alternatively
In the case that the electricity consumption Q cur from the beginning of the response period to the current time is greater than the expected electricity consumption Q exp, the response amount to be increased is (Q cur-Qexp)·Tres/Tcur), where the expected electricity consumption Q exp＝(Qline-Qrep)·Tcur/Tres;Qline is the baseline electricity consumption of all the devices participating in the load aggregation, Q rep is the response electricity consumption obtained according to the reported response amount, T res is the duration of the response period, T cur is the duration from the beginning of the response period to the current time, and the response period duration T res =2 h, where the expected electricity consumption in the duration of the response period is 1000kwh, and the duration from the beginning of the response period to the current time T cur =1 h, where the expected electricity consumption Q exp =1000 kwh/2=500 kwh, and the response amount to be increased is (Q cur-Qexp)·Tres/Tcur = (1000-500) ×2/1=1000 kwh) assuming that the actual electricity consumption from the beginning of the response period to the current time is Q cur =1000 kwh.
In an exemplary embodiment of the present application, selecting a device having a remaining responsibilities from all devices participating in load aggregation according to the response volume to be increased to increase the response volume, including:
And sequentially selecting devices from the devices with the residual responsibilities according to the order of the residual responsibilities from large to small until the sum of the residual responsibilities obtained from the selected devices is greater than or equal to the response volume required to be increased. The equipment is sequentially selected according to the sequence of the residual responsibilities of the equipment from large to small, so that the expected requirement can be met by selecting as few equipment as possible and increasing the responsibilities, and the comfort experience of more users is striven for and maintained while the actual responsibilities of all the equipment are ensured to meet the requirement. When a plurality of devices having the remaining responsibilities have the same remaining responsibilities, the devices can be selected in any order until the sum of the remaining responsibilities of the selected devices is greater than or equal to the response volume to be increased. For example, there are 8 devices with a remaining responsibilities, each device with a remaining responsibilities of 15kw, the required added responsibilities of 20kw, the remaining responsibilities of 15kw may be selected from one of the devices, and the remaining responsibilities of 5kw may be selected from the other device to meet the requirements.
For a device, if the last control instruction fails to receive, the probability of the next control instruction fails to receive is very high, so as to maintain the actual response quantity of all devices to reach the requirement of the expected response quantity, in an exemplary embodiment of the present application, the group control method facing the power demand response further includes: at the next control command issuing time, the selected equipment responds according to the estimated response quantity through the control command.
The group control method facing the power demand response according to the embodiment of the application can be applied to a device management platform of a load aggregator; the device management platform of the load aggregator can be a power service platform, for example, a software platform called an energy management system (ENERGY MANAGEMENT SYSTEM, EMS), can be constructed on cloud devices (such as cloud servers and cloud storage devices), and is based on an intelligent scheduling platform to integrate and coordinate dispersed power resources to participate in power market transactions and provide power balance services. The group control method for power demand response according to the embodiment of the present application is not limited thereto, but may be applied to any other platform or device capable of implementing power demand response.
In an exemplary embodiment of the present application, the device participating in load aggregation includes a multi-split air conditioning system managed by the load aggregator. The multi-split air conditioning system is an air conditioning system which is emerging in recent years and is generally composed of an outdoor unit and a plurality of indoor units, wherein the outdoor unit is used for conveying refrigerant liquid to the indoor units connected with the outdoor unit through pipelines, so that the indoor cold and hot load requirements are met, and the multi-split air conditioning system has the advantages of being high in energy conservation, simple and convenient to construct and the like. In recent years, the duty ratio of the multi-split air conditioning system in the air conditioning market is improved year by year, so that the research on the demand response of the multi-split air conditioning system has important significance. However, the group control method for power demand response according to the embodiment of the present application is not limited thereto, and the device according to the embodiment of the present application may also include a unit air conditioning system or other electric devices besides an air conditioning system.
In an exemplary embodiment of the present application, the estimated response of the multi-split air conditioning system is estimated based on a case that the set temperature of the multi-split air conditioning system is a preset upper limit or lower limit of indoor comfort temperature. The set temperature of the multi-split air conditioning system is set to be the upper limit or the lower limit of the preset indoor comfort temperature (for example, the temperature of the multi-split air conditioning system can be set to be the upper limit of the indoor comfort temperature during refrigeration and the temperature of the multi-split air conditioning system can be set to be the lower limit of the indoor comfort temperature during heating), and the theoretical maximum response of the multi-split air conditioning system is estimated on the premise of ensuring that the indoor temperature is kept in a comfort zone. Of course, the set temperature is only one factor affecting the response of the multi-split air conditioning system, and the magnitude of the response is also related to the outdoor temperature, control logic and the like. The response of the multi-split air conditioning system is estimated based on the condition that the set temperature of the multi-split air conditioning system is the preset upper limit or lower limit of the indoor comfort temperature, the estimated response of the obtained multi-split air conditioning system can be closer to the upper limit of the actual response of the multi-split air conditioning system, and the reporting response obtained according to the estimated responses of all the multi-split air conditioning systems is not obviously smaller, so that the reporting response and the actual response are excessively different.
Embodiments of the present application also provide a computer readable storage medium storing one or more programs executable by one or more processors to implement the power demand response oriented group control method according to any of the previous embodiments.
The embodiment of the application also provides a group control device facing the power demand response, as shown in fig. 4, the device comprises:
A memory 401 arranged to store computer executable instructions;
a processor 402 configured to execute the computer-executable instructions to implement the power demand response oriented group control method as described in any of the previous embodiments.
The group control device for power demand response provided by the embodiment of the application can realize the group control method for power demand response described in any embodiment, so that the group control device for power demand response has the technical effects of the group control method for power demand response described in any embodiment.
The group control device facing the power demand response provided by the embodiment of the application can be arranged on a cloud platform of an aggregator, can be arranged at the edge end (such as a gateway) of an air conditioning system, and can also be arranged in the air conditioning system.
The embodiment of the application also provides a cloud platform of the load aggregator, as shown in fig. 5, the cloud platform comprises: the group control device 501 for power demand response according to the previous embodiment;
The cloud platform is configured to manage a plurality of devices participating in load aggregation through the group control device 501 facing power demand response according to the previous embodiment, including obtaining operation data of the plurality of devices and issuing control instructions to the plurality of devices; the operational data may include a response amount, etc.
The cloud platform of the load aggregator provided by the embodiment of the application comprises the group control device facing the power demand response, which is described in the previous embodiment, so that the group control device facing the power demand response has the technical effects described in the previous embodiment.
Those of ordinary skill in the art will appreciate that all or some of the steps, systems, functional modules/units in the apparatus, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between the functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed cooperatively by several physical components. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media.
Claims (13)
1. A group control method for power demand response, comprising:
before the response period starts, reporting the response quantity according to the estimated response quantity of all the devices participating in the load aggregation;
after the response period starts, controlling the response quantity of all the equipment issuing control instructions participating in the load aggregation;
During the response, the following processing is periodically performed: obtaining actual response amounts from all devices currently; and in the case that the actual response quantity is determined to be smaller than the expected response quantity, selecting a device with the residual response quantity from all the devices participating in load aggregation to increase the response quantity, wherein the expected response quantity is determined according to the reported response quantity.
2. The power demand response oriented group control method of claim 1, wherein,
The method is applied to a device management platform of a load aggregator; all the devices participating in the load aggregation comprise a multi-split air conditioning system managed by the load aggregator;
The estimated response of each multi-split air conditioning system is estimated based on the condition that the set temperature of the multi-split air conditioning system is a preset upper limit or lower limit of indoor comfort temperature.
3. The power demand response oriented group control method of claim 1, wherein,
Reporting the response quantity according to the estimated response quantity of all the devices participating in the load aggregation, wherein the reporting comprises the following steps:
Determining the estimated response quantity of each device in all the devices participating in load aggregation;
And taking the result of multiplying the sum of the estimated response amounts of all the devices by a first correction coefficient as the reported response amount, wherein the first correction coefficient is smaller than 1.
4. The method for power demand response oriented group control of claim 3,
The first correction coefficient is smaller than or equal to 1 minus the difference obtained by the control instruction issuing failure rate, and the control instruction issuing failure rate is obtained according to historical data statistics.
5. The method for power demand response oriented group control of claim 3,
And controlling the response quantity of the control instructions issued by all the devices participating in the load aggregation, wherein the control instructions comprise the following steps:
each device participating in load aggregation is subjected to response quantity control according to the estimated response quantity multiplied by a second correction coefficient;
the second correction coefficient is greater than the first correction coefficient, and the second correction coefficient is less than 1.
6. The power demand response oriented group control method of claim 1, wherein,
The determining that the actual response amount is less than the expected response amount includes:
Judging whether the current actual response quantity is maintained until the response period is finished, and determining whether the response quantity of all the devices participating in load aggregation in the whole response period is smaller than the reported response quantity or not, if so, determining that the actual response quantity is smaller than the expected response quantity; the actual response quantity is represented by the current running power or the electricity consumption from the beginning time of the response period to the current time.
7. The power demand response oriented group control method of claim 1, wherein,
The determining that the actual response amount is less than the expected response amount includes:
Determining that the actual response quantity is smaller than the expected response quantity in response to that the actual power consumption of all the devices participating in load aggregation from the beginning moment to the current moment of the response period is larger than the expected power consumption; the expected electricity consumption Q exp＝(Qline-Qrep)·Tcur/Tres;Qline is the baseline electricity consumption of all the devices participating in load aggregation, Q rep is the response electricity consumption obtained according to the reported response quantity, T cur is the duration from the beginning time of the response period to the current time, and T res is the duration of the response period; or alternatively
Determining that the actual response amount is smaller than an expected response amount in response to the current operating power of all devices participating in load aggregation being greater than the expected operating power P exp during the response; wherein, P exp＝Pbase-Prep,Pbase is the baseline power of all the devices participating in load aggregation, and P rep is the response power obtained according to the reported response quantity.
8. The power demand response oriented group control method of claim 1 or 5, wherein,
The selecting a device with the remaining responsibilities from all devices participating in load aggregation to increase the responsibilities comprises:
determining the response quantity to be increased according to the actual response quantity and the reported response quantity;
And selecting a device with the residual response capacity from all devices participating in load aggregation according to the response capacity required to be increased to increase the response capacity so that the expected response capacity capable of being increased is larger than or equal to the response capacity required to be increased, wherein the expected response capacity capable of being increased is determined according to the sum of the residual response capacities of the selected devices.
9. The power demand response oriented group control method of claim 8, wherein,
And determining the response quantity to be increased according to the actual response quantity and the reported response quantity, wherein the response quantity to be increased comprises the following steps:
subtracting the expected operating power in the response period from the current operating power to obtain the response quantity to be increased under the condition that the current operating power of all the devices participating in load aggregation is larger than the expected operating power in the response period; or alternatively
And under the condition that the electricity consumption Q cur from the beginning time to the current time of the response period of all the devices participating in the load aggregation is larger than the expected electricity consumption Q exp, taking (Q cur-Qexp)·Tres/Tcur as the response amount to be increased, wherein the expected electricity consumption Q exp＝(Qline-Qrep)·Tcur/Tres;Qline is the baseline electricity consumption of all the devices participating in the load aggregation, Q rep is the response electricity consumption obtained according to the reported response amount, T res is the duration of the response period, and T cur is the duration from the beginning time to the current time of the response period.
10. The power demand response oriented group control method of claim 8, wherein,
Selecting a device with the remaining responsibilities from all devices participating in load aggregation according to the response volume required to be increased to increase the response volume, wherein the method comprises the following steps:
And sequentially selecting devices from the devices with the residual responsibilities according to the order of the residual responsibilities from large to small until the sum of the residual responsibilities obtained from the selected devices is greater than or equal to the response volume required to be increased.
11. A computer readable storage medium storing one or more programs executable by one or more processors to implement the power demand response oriented group control method of any of claims 1-10.
12. A group control device for power demand response, the device comprising:
a memory arranged to store computer executable instructions;
a processor arranged to execute the computer executable instructions to implement the power demand response oriented group control method of any one of claims 1 to 10.
13. A cloud platform for a load aggregator, for managing a plurality of devices participating in load aggregation, comprising obtaining operation data of the plurality of devices and performing response volume control on control instructions issued by the plurality of devices, wherein the cloud platform comprises the group control device for power demand response according to claim 12.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410504026.3A CN118539451A (en) | 2024-04-25 | 2024-04-25 | Group control method and device oriented to power demand response, cloud platform and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410504026.3A CN118539451A (en) | 2024-04-25 | 2024-04-25 | Group control method and device oriented to power demand response, cloud platform and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118539451A true CN118539451A (en) | 2024-08-23 |
Family
ID=92379980
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410504026.3A Pending CN118539451A (en) | 2024-04-25 | 2024-04-25 | Group control method and device oriented to power demand response, cloud platform and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118539451A (en) |
-
2024
- 2024-04-25 CN CN202410504026.3A patent/CN118539451A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102025150B (en) | Method and system for demand response in a distribution network | |
| US10678198B2 (en) | Power distribution control system | |
| US20130035795A1 (en) | System And Method For Using Data Centers As Virtual Power Plants | |
| AU2014404066B2 (en) | Power distribution control system | |
| US11379937B2 (en) | Power management server and power management method | |
| US20240039284A1 (en) | Facilities Grid Micro Demand Response System | |
| CN109672176A (en) | Temperature control load control target determination method and system | |
| EP3392997B1 (en) | System and method for using excess electrical energy produced by an installation with renewable electricity generation | |
| CN118539451A (en) | Group control method and device oriented to power demand response, cloud platform and storage medium | |
| CN114484755B (en) | Air conditioner control method, device, equipment, air conditioner and medium | |
| CN118539450A (en) | Group control method and device oriented to power demand response, cloud platform and storage medium | |
| JP2023089234A (en) | Energy management system | |
| JP7498350B2 (en) | Power management device, power management method, and program | |
| JP2023132558A (en) | Power management device and power management method | |
| WO2024084888A1 (en) | Power management device and power management method | |
| JP7493110B1 (en) | Power management device, power management method, and program | |
| US20230314024A1 (en) | Air conditioning predictive power management system and method | |
| WO2024058039A1 (en) | Communication device, distributed power supply, and communication method | |
| JP2023142720A (en) | Power management device and power management method | |
| CN118328521A (en) | Control method and device of multi-split air conditioning system, storage medium and cloud platform | |
| CN118328523A (en) | Heating and ventilation system control method and device oriented to power demand response and storage medium | |
| JP2022169292A (en) | Power management device, power management system, and power management method | |
| JP2024055509A (en) | Power management system and power management method | |
| JP2023177798A (en) | Management device and management method | |
| CN114383255A (en) | Heat dissipation control method and device and photovoltaic air conditioner |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |