CN118432199A - Virtual power plant transaction mechanism determining method based on electric energy and electric power regulation - Google Patents

Abstract

The application provides a virtual power plant transaction mechanism determining method based on electric energy and electric power regulation, and particularly relates to the technical field of electric power systems. The method includes obtaining an electrical energy demand and an electrical power conditioning demand for a period of time to be traded. The electric energy requirement and the electric power regulation requirement are input into a trade clearing model to obtain an output variable, and the trade clearing model is determined according to active power sent by a plurality of units in a virtual power plant trade system. And carrying out iterative optimization processing on the output variable to obtain a target output variable. And determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable. According to the method, the minimum cost is used as a requirement, the electric energy requirement and the electric power regulation requirement are reasonably distributed, the regulation capacity of the virtual power plant is increased by means of a market, and the influence of high permeability of new energy on an electric power system is reduced.

Description

Virtual power plant transaction mechanism determining method based on electric energy and electric power regulation

Technical Field

The application relates to the technical field of power systems, in particular to a virtual power plant transaction mechanism determining method based on electric energy and electric power regulation.

Background

Renewable energy sources in future novel power systems are necessarily widely used, but the renewable energy sources have intermittence and uncertainty, and when the permeability of the renewable energy sources in the system is high, the renewable energy sources are difficult to balance the regulation requirement of the power system. The virtual power plant is taken as a power coordination management system of a special power plant participating in the operation of an electric power market and a power grid, can mine the regulation capability of each member in the market, is beneficial to integrating renewable energy sources, can reduce the power balance burden of a traditional unit, and promotes the consumption of a large amount of renewable energy sources.

In the existing method, a virtual power plant is an aggregate formed by a plurality of distributed energy resources (such as solar energy, wind energy, energy storage and the like), and the production, storage and adjustment of electric power are realized through an intelligent control system. In the virtual power plant market trading mechanism, participants can conduct electric power trading and adjustment through a market platform according to the energy capacity and the demand conditions of the participants. The mechanism can help optimize the utilization of energy resources and improve the efficiency and flexibility of the energy market. In recent years, a market trading mechanism of a virtual power plant has been widely studied, and mainly aims at a distribution mechanism, optimal allocation, bidding schemes, operation strategies and the like of a virtual power grid, so that the market trading problem of the virtual power plant is solved to a certain extent. Through the transaction mechanisms, the virtual power plant can realize real-time monitoring, adjustment and transaction of the electric power, so that market demands and energy supply and demand conditions can be well adapted.

Although a great deal of research work has been carried out in the aspect of the market trading mechanism of the virtual power plant at present, the evaluation method of the electric energy and the electric power regulation value is fresh, and the regulation capability of the virtual power plant cannot be accurately evaluated, so that the real contribution of the demand resource in the aspect of electric power regulation is difficult to quantify, and the method is unfavorable for attracting abundant flexible regulation resources to enter the market.

Disclosure of Invention

The application provides a virtual power plant transaction mechanism determining method based on electric energy and electric power regulation, which is used for solving the problem that the prior art cannot accurately evaluate the regulation capacity of a virtual power plant, so that the real contribution of a resource on a demand side in the aspect of electric power regulation is difficult to quantify.

In a first aspect, the present application provides a virtual power plant trading mechanism determination method based on electric energy and electric power regulation, comprising:

acquiring an electric energy demand and an electric power regulation demand of a period to be traded;

Inputting the electric energy requirement and the electric power regulation requirement into a transaction clearing model to obtain an output variable, wherein the transaction clearing model is determined according to active power emitted by a plurality of units in a virtual power plant transaction system;

Performing iterative optimization processing on the output variable to obtain a target output variable;

And determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable.

Optionally, the plurality of units includes: the method further comprises the steps of before the electric energy requirement and the electric power regulation requirement are input into the traffic clearing model:

Respectively acquiring active power of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load;

According to the active power, cost functions of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load are respectively determined;

and constructing the transaction verification model according to the plurality of cost functions.

Optionally, the active power includes: the utility model provides an electric energy active power, electric power regulation active power, according to the active power, confirm respectively traditional generating set, new forms of energy generating set, virtual power plant with adjustable load's cost function includes:

Determining an electric energy cost function and an electric power demand cost function of the traditional generator set according to the electric energy active power of the traditional generator set and the electric power regulation active power of the traditional generator set;

According to the electric energy active power of the new energy generator set and the electric power of the new energy generator set, the active power is regulated, and an electric energy cost function and an electric power demand cost function of the new energy generator set are determined;

Adjusting active power according to the power of the virtual power plant, and determining a power demand cost function of the virtual power plant;

And determining a power demand cost function of the adjustable load according to the power adjustment active power of the adjustable load.

Optionally, the constructing the trade finding model according to the plurality of cost functions includes:

adding the cost function of the traditional generator set, the cost function of the new energy generator set, the power demand cost function of the virtual power plant and the power demand cost function of the adjustable load to obtain a cost model;

Determining a power regulation cost function according to the power demand cost function of the traditional generator set, the power demand cost function of the new energy generator set, the power demand cost function of the virtual power plant and the power demand cost function of the adjustable load;

And determining the transaction verification model according to the cost model, the electric energy balance function and the electric power adjustment cost function.

Optionally, the inputting the electric energy requirement and the electric power regulation requirement into a transaction clearing model to obtain an output variable includes:

judging whether the electric energy requirement meets the electric power regulation requirement or not;

if the electric energy requirement meets the electric power regulation requirement, determining a target output variable according to the cost model;

And if the electric energy requirement does not meet the electric power regulation requirement, inputting the electric energy requirement and the electric power regulation requirement into the transaction verification model to obtain an output variable.

Optionally, the output variables include: generating set output power, generating set electric power regulation demand, virtual power plant electric power regulation demand and adjustable load volume, the pair output variable carries out iterative optimization processing, obtains target output variable, includes:

Determining a bilinear multiplication term according to the output variable, wherein the bilinear multiplication term is positioned in a power adjustment cost function for solving the output variable by the transaction finding model;

performing replacement processing on the bilinear multiplication term to obtain a first auxiliary variable;

Performing iterative optimization on the first auxiliary variable to obtain a second auxiliary variable;

judging whether the first auxiliary variable and the second auxiliary variable meet a preset condition or not;

And if the first auxiliary variable and the second auxiliary variable meet the preset condition, replacing the second auxiliary variable to obtain a target output variable.

Optionally, the performing iterative optimization processing on the first auxiliary variable to obtain a second auxiliary variable includes:

acquiring an adjustable variable of the nth time and a first auxiliary variable of the nth time;

And determining a second auxiliary variable of the (n+1) th time according to the electric energy transaction price, the adjustable variable of the nth time and the first auxiliary variable of the nth time.

In a second aspect, the present application provides a virtual power plant trading mechanism determining apparatus based on electric energy and electric power regulation, comprising:

the acquisition module is used for acquiring the electric energy requirement and the electric power regulation requirement of the period to be transacted;

The input module is used for inputting the electric energy requirement and the electric power regulation requirement into a transaction clearing model to obtain an output variable, and the transaction clearing model is determined according to active power sent by a plurality of units in a virtual power plant transaction system;

The processing module is used for carrying out iterative optimization processing on the output variable to obtain a target output variable;

and the determining module is used for determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable.

Optionally, the apparatus further includes: constructing a module;

the acquisition module is further used for respectively acquiring the active power of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load;

The determining module is further used for respectively determining cost functions of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load according to the active power;

The construction module is used for constructing the transaction verification model according to the plurality of cost functions.

Optionally, the determining module is further configured to determine an electrical energy cost function and an electrical power demand cost function of the conventional generator set according to the electrical energy active power of the conventional generator set and the electrical power adjustment active power of the conventional generator set;

The determining module is further used for determining an electric energy cost function and an electric power demand cost function of the new energy generator set according to the electric energy active power of the new energy generator set and the electric power regulation active power of the new energy generator set;

The determining module is further used for adjusting the active power according to the power of the virtual power plant and determining a power demand cost function of the virtual power plant;

The determining module is further configured to determine a power demand cost function of the adjustable load according to the power adjustment active power of the adjustable load.

Optionally, the processing module is further configured to add and process a cost function of the conventional generator set, a cost function of the new energy generator set, a power demand cost function of the virtual power plant, and a power demand cost function of the adjustable load, so as to obtain a cost model;

The determining module is further configured to determine an electric power adjustment cost function according to an electric power demand cost function of the conventional generator set, an electric power demand cost function of the new energy generator set, an electric power demand cost function of the virtual power plant, and an electric power demand cost function of the adjustable load;

the determining module is further configured to determine the transaction verification model according to the cost model, the electric energy balance function, and the electric power adjustment cost function.

Optionally, the apparatus further includes: a judging module;

The judging module is further used for judging whether the electric energy requirement meets the electric power regulation requirement or not;

the determining module is further configured to determine a target output variable according to the cost model if the electrical energy requirement meets the electrical power regulation requirement;

and the input module is further configured to input the electric energy requirement and the electric power regulation requirement into the transaction verification model to obtain an output variable if the electric energy requirement does not meet the electric power regulation requirement.

Optionally, the determining module is further configured to determine a bilinear multiplication term according to the output variable, where the bilinear multiplication term is located in a power adjustment cost function of the transaction finding model for solving the output variable;

the processing module is further used for carrying out replacement processing on the bilinear multiplication item to obtain a first auxiliary variable;

The processing module is further used for performing iterative optimization processing on the first auxiliary variable to obtain a second auxiliary variable;

the judging module is further used for judging whether the first auxiliary variable and the second auxiliary variable meet a preset condition or not;

And the processing module is further used for replacing the second auxiliary variable if the first auxiliary variable and the second auxiliary variable meet preset conditions to obtain a target output variable.

Optionally, the acquiring module is further configured to acquire the nth adjustable variable and the nth first auxiliary variable;

The determining module is further configured to determine a second auxiliary variable of the n+1th time according to the electric energy transaction price, the nth adjustable variable and the nth first auxiliary variable.

In a third aspect, the present application provides a virtual power plant trading mechanism determination apparatus based on electrical energy and power regulation, the apparatus comprising:

a memory;

A processor;

wherein the memory stores computer-executable instructions;

The processor executes computer-executable instructions stored in the memory to implement the virtual power plant transaction mechanism determination method based on electrical energy and power regulation as described in the first aspect and the various possible implementations of the first aspect.

In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program for execution by a processor to implement the virtual power plant transaction mechanism determination method based on electric energy and electric power regulation as described in the first aspect and the various possible implementations of the first aspect.

According to the virtual power plant trading mechanism determining method based on electric energy and electric power regulation, the electric energy requirement and the electric power regulation requirement in the period to be traded are obtained. The electric energy requirement and the electric power regulation requirement are input into a trade clearing model to obtain an output variable, and the trade clearing model is determined according to active power sent by a plurality of units in a virtual power plant trade system. And carrying out iterative optimization processing on the output variable to obtain a target output variable. And determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable. According to the method, the minimum cost is used as a requirement, the electric energy requirement and the electric power regulation requirement are reasonably distributed, the regulation capacity of the virtual power plant is increased by means of a market, and the influence of high permeability of new energy on an electric power system is reduced.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

FIG. 1 is a schematic flow chart of a virtual power plant transaction mechanism determination method based on electric energy and electric power regulation according to an embodiment of the present application;

FIG. 2 is a second flow chart of a virtual power plant transaction mechanism determination method based on electric energy and electric power regulation according to an embodiment of the present application;

FIG. 3 is a flowchart illustrating a method for determining a transaction mechanism of a virtual power plant based on electric energy and electric power regulation according to an embodiment of the present application;

FIG. 4 is a schematic diagram of a virtual power plant transaction mechanism determination device based on electric energy and electric power regulation according to the present application;

fig. 5 is a schematic structural diagram of a virtual power plant transaction mechanism determining device based on electric energy and electric power regulation.

Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the application, as detailed in the accompanying claims, rather than all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented, for example, in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, article, or apparatus.

In embodiments of the application, words such as "exemplary" or "such as" are used to mean examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

The energy bit refers to the commodity attribute of the electric power which is actually converted and generated in a certain time period T and corresponds to the electric power; the movable refers to the dynamic real-time balance attribute of the corresponding power in any time period.

In general, both the power generation equipment and the electric load have electric energy properties and electric power regulation properties, and the electric energy properties are electric energy generated or consumed per unit time without considering regulation and fluctuation of the power generation equipment or the electric load, so that the power P thereof can be expressed as:

wherein, For the power operator, p is the actual power of the power generation equipment or the power-consuming load,For the values of the electric energy of all periods of the power generation equipment or the electric load in the time period T, the values are gatheredEach time period of (a)This can be represented by the average of the actual electrical energy over the period:

wherein, For each actual power of the power generating equipment or the power-consuming load in a period T, T beingIs a function of the total time period of (a).The difference from the actual power P represents the amount of change in the power regulation required during this time period T：

When (when)When, i.eIndicating that the power regulation requires an increase in electrical energy at this time; when (when)When, i.eThe vector p is the value of the power transfer of the power generation equipment or the power load in all the time periods T, and the virtual power plant needs to meet the increase and decrease in one day when the adjustment is performedAre equal in value and can be expressed as:

wherein: i represents a vector of all 1 elements of the T x 1 dimension.

For four typical resources in an electrical power system, mainly comprising: the novel energy power generation system comprises a traditional power generation unit, a new energy power generation unit, an adjustable load and a virtual power plant, wherein the traditional power generation unit, the adjustable load and the virtual power plant belong to adjustable resources, the new energy power generation unit belongs to non-adjustable resources, output power has volatility and randomness, namely, response power regulation requirements can be generated while electric energy is generated, and other equipment is required to generate opposite power regulation requirements to balance the generated fluctuation.

The power conditioning requirements generated by the new energy genset can be expressed as:。

It should be noted that the conventional generator set, the adjustable load and the virtual power plant may be limited by their own adjustment capability, and once the adjustable boundary is exceeded, the adjustable resource is changed into the non-adjustable resource, and a corresponding power adjustment requirement is generated, so that a power adjustment requirement variable N related to the adjustable resource needs to be introduced, and then the power adjustment requirement N of the whole system may be expressed as: 。

Wherein, N represents the total amount of power regulation needed to be provided for satisfying the balance of the traditional generator set, the adjustable load, the virtual power plant and other adjustable resources of the power system.

In conducting market transactions, the power conditioning requirement is a continuous physical quantity over time, with each increase or decrease in power conditioning requirement per unit for any one participant resulting in a change in power conditioning requirement, i.e., a marginal utility of power conditioning, produced by the overall power system. Considering that the power regulation is a vector, the unit change is not only the traditional differential change, but also the functional space needs to be expanded to be calculated by combining the derivative.

First, the power adjustment vector p needs to be normalized, and by using its 2-norm as its reference value, it can be expressed as:

For normalized vectors Its marginal utility can be expressed as:

Wherein vector U (P) represents the marginal utility of the power generation plant or power regulation of the electrical load, The coefficient of variation is represented by a coefficient of variation,Representing the normalized vector, N represents the total amount of power required to be adjusted by the overall system.

The marginal utility is the change quantity and the increment change coefficient of the systemAt this point, the 2-norm expansion can be reduced:

U (P) can be simplified as:

wherein, Representing the shape of the power conditioning curve required for the overall system.

Renewable energy sources in future novel power systems are necessarily widely used, but the renewable energy sources have intermittence and uncertainty, and when the permeability of the renewable energy sources in the system is high, the renewable energy sources are difficult to balance the regulation requirement of the power system. The virtual power plant is taken as a power coordination management system of a special power plant participating in the operation of an electric power market and a power grid, can mine the regulation capability of each member in the market, is beneficial to integrating renewable energy sources, can reduce the power balance burden of a traditional unit, and promotes the consumption of a large amount of renewable energy sources.

In the existing method, a virtual power plant is an aggregate formed by a plurality of distributed energy resources (such as solar energy, wind energy, energy storage and the like), and the production, storage and adjustment of electric power are realized through an intelligent control system. In the virtual power plant market trading mechanism, participants can conduct electric power trading and adjustment through a market platform according to the energy capacity and the demand conditions of the participants. The mechanism can help optimize the utilization of energy resources and improve the efficiency and flexibility of the energy market. In recent years, a market trading mechanism of a virtual power plant has been widely studied, and mainly aims at a distribution mechanism, optimal allocation, bidding schemes, operation strategies and the like of a virtual power grid, so that the market trading problem of the virtual power plant is solved to a certain extent. Through the transaction mechanisms, the virtual power plant can realize real-time monitoring, adjustment and transaction of the electric power, so that market demands and energy supply and demand conditions can be well adapted.

Although a great deal of research work has been carried out in the aspect of the market trading mechanism of the virtual power plant at present, the evaluation method of the electric energy and the electric power regulation value is fresh, and the regulation capability of the virtual power plant cannot be accurately evaluated, so that the real contribution of the demand resource in the aspect of electric power regulation is difficult to quantify, and the method is unfavorable for attracting abundant flexible regulation resources to enter the market.

In order to solve the problems, the application provides a virtual power plant trading mechanism determining method based on electric energy and electric power regulation, which is characterized in that a traditional generator set, a new energy generator set, a virtual power plant and an electric energy and electric power regulation model of an adjustable load are established, a virtual market trading mechanism is provided, the electric energy and electric power regulation value of regulating equipment can be reflected, pricing and trading of the regulation value of the virtual power plant are facilitated, and system modeling and related profit calculation of the regulation resource, service providing and production value of the virtual power plant can be realized.

The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

Fig. 1 is a flowchart of a virtual power plant transaction mechanism determining method based on electric energy and electric power regulation according to an embodiment of the present application. The execution subject of the embodiment is applied to a virtual power plant transaction system. As shown in fig. 1, the method includes:

S101: the method comprises the steps of obtaining an electric energy requirement and an electric power regulation requirement of a period to be traded.

It can be understood that the virtual power plant trading system can adjust the electric power according to the demands of users, select the trading scheme with the minimum cost, realize system modeling and related profit calculation for adjusting resources, providing services and generating values of the virtual power plant, and provide a virtual market trading mechanism on the basis.

S102: and inputting the electric energy requirement and the electric power regulation requirement into a transaction clearing model to obtain an output variable, wherein the transaction clearing model is determined according to active power emitted by a plurality of units in a virtual power plant transaction system.

It can be understood that, the user requirements are input into a transaction clearing model designed in advance to obtain the electric energy and the electric power adjustment value of each adjusting device unit, and the specific process is described in detail below, and will not be repeated here.

S103: and carrying out iterative optimization processing on the output variable to obtain a target output variable.

It can be appreciated that, in order to minimize the output variable outputted as the total running cost of electric energy and electric power adjustment of different units in the allocation mechanism of the virtual power plant, a penalty function is used to perform iterative calculation for optimizing the output variable, so as to find the target output variable with the lowest cost, and the specific process is described in detail below and will not be repeated here.

S104: and determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable.

It will be appreciated that the target output variables include: the output power of the generator set, the power regulation requirement of the virtual power plant and the adjustable load quantity are priced and traded according to the target output variable, the regulation capability of the virtual power plant can be increased by means of market means, and the influence of high permeability of new energy on a power system is reduced.

According to the virtual power plant trading mechanism determining method based on electric energy and electric power regulation, the electric energy requirement and the electric power regulation requirement in the period to be traded are obtained. The electric energy requirement and the electric power regulation requirement are input into a trade clearing model to obtain an output variable, and the trade clearing model is determined according to active power sent by a plurality of units in a virtual power plant trade system. And carrying out iterative optimization processing on the output variable to obtain a target output variable. And determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable. According to the method, the minimum cost is used as a requirement, the electric energy requirement and the electric power regulation requirement are reasonably distributed, the regulation capacity of the virtual power plant is increased by means of a market, and the influence of high permeability of new energy on an electric power system is reduced.

Fig. 2 is a second flowchart of a virtual power plant transaction mechanism determining method based on electric energy and electric power regulation according to an embodiment of the present application. This embodiment is a detailed description of the construction of a transaction verification model based on the embodiment of fig. 1. As shown in fig. 2, the method includes:

S201: and respectively acquiring the active power of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load.

As can be appreciated, four typical resources in a power system mainly include: the system comprises a traditional generator set, a new energy generator set, an adjustable load and a virtual power plant, wherein nodes connected with the traditional generator set in the whole system are represented by a set g, nodes connected with the virtual power plant are represented by a set v, nodes connected with the new energy generator set are represented by a set r, and an adjustable load unit is represented by a set i.

Wherein nodes are sets of data, and all bus nodes in a certain area are represented by sets, corresponding to buses of an operating power grid, namely buses of a power system. Each node only has inflow and outflow of electric energy, is electric energy and electric power regulation requirement generated by a unit, is displayed as electric energy and electric power regulation requirement generated by a bus connected with a generator unit, is a specific numerical value, and can obtain the data according to actual operation data of a power grid.

S202: and determining an electric energy cost function and an electric power demand cost function of the traditional generator set according to the electric energy active power of the traditional generator set and the electric power regulation active power of the traditional generator set.

It can be appreciated that the active power generated by any one conventional generator set i is，These two vectors can be represented by electrical energy and power regulation:

wherein, Representing the amount of electrical energy produced by the unit i,Representing the power demand generated by the unit i.

When market is clear, the traditional generator set can provide electric energy and electric power regulation, so the cost is lowThe function can be expressed as:

wherein, Representing the cost function of the electrical energy produced by the unit i,Representing the power demand cost function generated by the unit i.Cost coefficients respectively representing a quadratic term, a primary term and a constant term, I represents a unit array of the T dimension, and 1 represents a column vector of all 1 elements of the T dimension.

S203: and determining an electric energy cost function and an electric power demand cost function of the new energy generator set according to the electric energy active power of the new energy generator set and the electric power regulation active power of the new energy generator set.

It can be understood that the active power generated by any new energy generator set i in the system is that，The two vectors can be expressed by electric energy and electric power regulation, and under the condition of discarding electricity without considering new energy such as wind discarding, light discarding and the like, meanwhile, the new energy generator set mainly provides electric energy, soCost function of new energy generator setCan be expressed as:

wherein, Cost coefficients respectively representing a quadratic term, a primary term and a constant term, I represents a unit array of the T dimension, and 1 represents a column vector of all 1 elements of the T dimension.

S204: and adjusting active power according to the power of the virtual power plant, and determining a power demand cost function of the virtual power plant.

It can be appreciated that the active power emitted by any one virtual power plant unit i is，The two vectors of the electric energy and the electric power regulation can be used for representing, but considering that the virtual power plant mainly participates in the task of electric power regulation, the situation that the virtual power plant provides the electric energy is not considered at this time, and the electric power demand cost function of the virtual power plantCan be expressed as:

wherein, As a cost factor. It should be noted that the number of the substrates,AndAlthough of the same form, its cost factorAndGenerally meets the following requirementsThe virtual power plant assumes the role of power regulation within the system over the traditional genset.

S205: and determining a power demand cost function of the adjustable load according to the power adjustment active power of the adjustable load.

It can be appreciated that the active power emitted by any adjustable load unit i in the virtual power plant isThe adjustable load does not generate electric energy and is only used for responding to the power grid allocation command, so that the adjustable load has the power adjustment capability, and the power demand cost function of the adjustable load in the virtual power plantCan be expressed as:

wherein, The cost factor is adjusted for the load.

S206: and adding the cost function of the traditional generator set, the cost function of the new energy generator set, the power demand cost function of the virtual power plant and the power demand cost function of the adjustable load to obtain a cost model.

It will be appreciated that the cost model mainly includes an electric energy cost function and an electric power adjustment cost function, wherein the electric energy cost is mainly generated by a traditional generator set, and because the electric energy cost is the cost required for generating electric quantity, the traditional generator set is a thermal power generating unit, the cost for purchasing coal is high, the cost is not required for generating new energy photovoltaic and wind power, the virtual power plant cannot generate electric energy, and only one platform for adjusting the demand side and the supply side is used, so that the electric energy is only generated by the traditional generator set. The power conditioning portion is commonly borne by the conventional genset, the virtual power plant, and the adjustable load. The representation of the cost model is:

S207: and determining a power regulation cost function according to the power demand cost function of the traditional generator set, the power demand cost function of the new energy generator set, the power demand cost function of the virtual power plant and the power demand cost function of the adjustable load.

It will be appreciated that in the model building process, the balance of the power regulation process needs to be considered as the constraint condition for solving the objective function, but in calculating the marginal effect of the power regulation, if the marginal equation of the power regulation is directly brought into the model and is difficult to solve, some assumptions need to be made here, and assuming that there is no unbalanced power regulation requirement in the system, the trade is made according to the final power regulation price when the trade is made, and at this time, the power requirement N of the system can be expressed as:

Where N represents the power regulation notch of the system. N is a0 vector when the electrical energy in the system is sufficient to meet its power regulation requirements, i.e., n=0. The power regulation cost C (N) due to the power regulation gap can be expressed as:

wherein, The price is cleared for the trade market.

S208: and determining the transaction verification model according to the cost model, the electric energy balance function and the electric power adjustment cost function.

It will be appreciated that the balance of the power adjustment process is a constraint condition for solving the target result, but if the marginal equation of the power adjustment is directly brought into the model to be solved when calculating the marginal effect of the power adjustment, the equation of the power adjustment is not considered as the constraint condition, so that a power gap, namely a power adjustment gap, is generated when the power adjustment is unbalanced, and the power adjustment cost C (N) generated by the power adjustment gap is considered in the target model to form a double-layer optimization model with the cost model.

The double-layer optimization model is a trade clearing model, and the trade clearing model is expressed as:

It will be appreciated that from a global point of view, the overall cost is achieved by optimizing the electrical energy and power conditioning requirements between different units And the power notch adjustment cost C (N) is the smallest, but at the same time, the adjustment needs to be consideredAndThe greatest punishment force is obtained, so that the requirement of the whole system on electric power regulation is reflected, and the regulation is popularAndTo make the penalty term as large as possible, so that N is as small as possible.

When the power regulation requirement of the system cannot be met, when the price of the traditional generator set, the virtual power plant and the like exceeds the upper limit price, the vector N at the moment is not 0 vector any more, and the additional power regulation capability is obtained by considering that a new generator set is additionally arranged, new energy is abandoned or loads are removed. The inner layer is constrained asAndThe outer constraint is a balance of electrical energy and electrical regulation demand, wherein the electrical regulation demand balance is achieved by adding an electrical notch to regulate the penalty term, the electrical energy balance can be expressed as:

The elements in the energy vector of any adjustable resource are equal, so the energy constraint can be expressed in terms of an equation. In addition, the operation constraint conditions of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load are considered, namely 。

According to the virtual power plant trading mechanism determining method based on electric energy and electric power regulation, the electric energy cost function and the electric power demand cost function of the traditional generating set, the new energy generating set, the virtual power plant and the adjustable load are determined according to the traditional generating set, the new energy generating set, the virtual power plant and the active power of the adjustable load. And adding the electric energy cost function of the traditional generator set, the electric power demand cost function of the virtual power plant and the electric power demand cost function of the adjustable load to obtain a cost model. An electrical power conditioning cost function is determined from the electrical power demand cost functions of the plurality of units. And determining a transaction clearing model according to the cost model and the power adjustment cost function. According to the method, the adjustable electric energy of the multiple units of the virtual power plant is determined, and a model capable of minimizing the electric cost is constructed, so that the electric energy distribution scheme with the lowest cost can be directly selected according to the needs in the subsequent use process.

Fig. 3 is a flowchart illustrating a virtual power plant transaction mechanism determination method based on electric energy and electric power regulation according to an embodiment of the present application. This embodiment is a detailed description of a virtual power plant trading mechanism determination method based on electric energy and electric power regulation based on the embodiment of fig. 1. As shown in fig. 3, the method includes:

s301: the method comprises the steps of obtaining an electric energy requirement and an electric power regulation requirement of a period to be traded.

Step S301 is similar to step S101, and will not be described here.

S302: and judging whether the electric energy requirement meets the electric power regulation requirement, if so, executing the step S303, and if not, executing the step S304.

S303: and determining a target output variable according to the cost model.

It can be understood that if the power adjustment requirement meets the requirement of the electric energy, no additional power adjustment gap exists, and the power adjustment requirement at this time is 0, and only the electric energy is required to be distributed according to the cost model, and the target output variable is required to be output.

S304: and inputting the electric energy requirement and the electric power regulation requirement into the transaction clearing model to obtain an output variable.

It will be appreciated that when the power regulation requirements of the system are not met, the conventional genset, virtual power plant, etc. offer too high to exceed its upper limitWhen the price is reached, the vector N is not 0, and the additional power regulation capacity is obtained by considering the addition of a new generator set, the discarding of new energy or the removal of load. The transaction clearing model is used for distributing the electric energy. According to the transaction clearing model, the external constraint condition (power regulation balance) and the internal constraint condition (transaction price and vector constraint), the output variable is obtained: genset output power, genset power regulation demand, virtual power plant power regulation demand, and adjustable load.

S305: and determining a bilinear multiplication term according to the output variable, wherein the bilinear multiplication term is positioned in the power regulation cost function for solving the output variable by the transaction finding model.

It will be appreciated that in order to make the output variable optimal, it is necessary to constrain the penalty term for the power adjustment gap in the model function. Determining bilinear multiplication terms in penalty functions corresponding to output variables according to the result values of the output variables。

S306: and carrying out replacement processing on the bilinear multiplication term to obtain a first auxiliary variable.

It will be appreciated that in order to deal with bilinear multiplication terms in penalty functionsA kind of electronic deviceIs a scalar which can be usedReplacement by auxiliary variablesAnd solving.

S307: a second auxiliary variable is determined based on the first auxiliary variable and the adjustable load.

Optionally, acquiring the nth adjustable variable and the nth first auxiliary variable;

And determining a second auxiliary variable of the (n+1) th time according to the electric energy transaction price, the adjustable variable of the nth time and the first auxiliary variable of the nth time.

It will be appreciated that the auxiliary variablesThe determined formula at multiple inner layer iterations is:

wherein, Namely, the first auxiliary variable is used as the first auxiliary variable,I.e. the second auxiliary variable. And n is the time step number determined according to the accuracy of the output result required by the user, performing traversal calculation according to the set time step, and sequencing the results after the traversal calculation to obtain the minimum transaction price.

S308: and judging whether the first auxiliary variable and the second auxiliary variable meet preset conditions, if so, executing step S309, and if not, executing step S305.

It will be appreciated that the auxiliary variable corresponding to the minimum value of the determined transaction price must meet the preset conditions. And screening and judging all the determined auxiliary variables under preset conditions, wherein the main judgment body of the preset conditions is two adjacent auxiliary variables. The judgment formula of the preset condition is as follows:

S309: and carrying out replacement processing on the second auxiliary variable to obtain a target output variable.

It can be appreciated that if the auxiliary variable satisfies the preset condition, the second auxiliary variable is utilizedAnd restoring the bilinear variable, and simultaneously meeting the requirement that the quotation of the virtual power plant is in a set price interval. Outputting final generator set output power according to the transaction price in the second auxiliary variable and the adjustable load variable corresponding to the second auxiliary variableElectric power regulation requirement of generator setVirtual power plant power regulation demandLoad amount adjustableAs a transaction scheme.

Wherein, the expression formula for recovering the bilinear variable is:

According to the virtual power plant trading mechanism determining method based on electric energy and electric power regulation, the electric energy requirement and the electric power regulation requirement in the period to be traded are obtained. And judging whether the electric energy requirement meets the electric power regulation requirement, if so, determining a target output variable according to the cost model, and if not, inputting the electric energy requirement and the electric power regulation requirement into a transaction clearing model to obtain the output variable. From the output variables, a bilinear multiplication term is determined. And carrying out replacement processing on the bilinear multiplication term to obtain a first auxiliary variable. A second auxiliary variable is determined based on the first auxiliary variable and the adjustable load. And judging whether the first auxiliary variable and the second auxiliary variable meet preset conditions, if so, replacing the second auxiliary variable to obtain a target output variable. According to the method, the output adjusting variable is optimized and iterated, a trading mechanism with the lowest cost can be found, and pricing and trading of the adjusting value of the virtual power plant are facilitated.

Fig. 4 is a schematic structural diagram of a virtual power plant transaction mechanism determining device based on electric energy and electric power regulation. As shown in fig. 4, the virtual power plant trading mechanism determining apparatus 400 based on electric energy and electric power regulation provided by the present application includes:

an acquisition module 401, configured to acquire an electric energy demand and an electric power regulation demand in a period to be transacted;

The input module 402 is configured to input the electric energy requirement and the electric power adjustment requirement to a transaction verification model, to obtain an output variable, where the transaction verification model is determined according to active power emitted by a plurality of units in a virtual power plant transaction system;

the processing module 403 is configured to perform iterative optimization processing on the output variable to obtain a target output variable;

And the determining module 404 is configured to determine a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable.

Optionally, the apparatus further includes: a build module 405;

The obtaining module 401 is further configured to obtain active power of the conventional generator set, the new energy generator set, the virtual power plant, and the adjustable load, respectively;

The determining module 404 is further configured to determine cost functions of the conventional generator set, the new energy generator set, the virtual power plant, and the adjustable load according to the active power, respectively;

the construction module 405 is configured to construct the transaction verification model according to the plurality of cost functions.

Optionally, the determining module 404 is further configured to determine an electrical energy cost function and an electrical power demand cost function of the conventional generator set according to the electrical energy active power of the conventional generator set and the electrical power adjustment active power of the conventional generator set;

the determining module 404 is further configured to determine an electrical energy cost function and an electrical power demand cost function of the new energy generator set according to the electrical energy active power of the new energy generator set and the electrical power adjustment active power of the new energy generator set;

The determining module 404 is further configured to adjust active power according to the power of the virtual power plant, and determine a power demand cost function of the virtual power plant;

The determining module 404 is further configured to determine a power demand cost function of the adjustable load based on the power adjustment active power of the adjustable load.

Optionally, the processing module 403 is further configured to add and process a cost function of the conventional generator set, a cost function of the new energy generator set, a power demand cost function of the virtual power plant, and a power demand cost function of the adjustable load, to obtain a cost model;

The determining module 404 is further configured to determine an electric power adjustment cost function according to the electric power demand cost function of the conventional generator set, the electric power demand cost function of the new energy generator set, the electric power demand cost function of the virtual power plant, and the electric power demand cost function of the adjustable load;

The determining module 404 is further configured to determine the transaction verification model according to the cost model, the electrical energy balance function, and the electrical power adjustment cost function.

Optionally, the apparatus further includes: a judgment module 406;

The determining module 406 is further configured to determine whether the electric energy requirement meets the electric power regulation requirement;

The determining module 404 is further configured to determine a target output variable according to the cost model if the electrical energy requirement meets the electrical power regulation requirement;

the input module 402 is further configured to input the electric energy requirement and the electric power regulation requirement to the transaction verification model to obtain an output variable if the electric energy requirement does not meet the electric power regulation requirement.

Optionally, the determining module 404 is further configured to determine a bilinear multiplication term according to the output variable, where the bilinear multiplication term is located in a power adjustment cost function of the transaction finding model for solving the output variable;

The processing module 403 is further configured to perform replacement processing on the bilinear multiplication term to obtain a first auxiliary variable;

The processing module 403 is further configured to perform iterative optimization processing on the first auxiliary variable to obtain a second auxiliary variable;

the judging module 406 is further configured to judge whether the first auxiliary variable and the second auxiliary variable meet a preset condition;

The processing module 403 is further configured to replace the second auxiliary variable if the first auxiliary variable and the second auxiliary variable meet a preset condition, so as to obtain a target output variable.

Optionally, the obtaining module 401 is further configured to obtain the nth adjustable variable and the nth first auxiliary variable;

The determining module 404 is further configured to determine a second auxiliary variable of the n+1th time according to the price of the electric energy transaction, the adjustable variable of the n time and the first auxiliary variable of the n time.

Fig. 5 is a schematic structural diagram of a virtual power plant transaction mechanism determining device based on electric energy and electric power regulation. As shown in fig. 5, the present application provides a virtual power plant trading mechanism determining apparatus based on electric energy and electric power adjustment, the virtual power plant trading mechanism determining apparatus 500 based on electric energy and electric power adjustment including: a receiver 501, a transmitter 502, a processor 503 and a memory 504.

A receiver 501 for receiving instructions and data;

A transmitter 502 for transmitting instructions and data;

memory 504 for storing computer-executable instructions;

A processor 503 for executing computer-executable instructions stored in a memory 504 to implement the steps performed by the virtual power plant transaction mechanism determination method based on electric energy and electric power regulation in the above embodiment. Reference may be made in particular to the description of the embodiments of the method for determining a virtual power plant trading mechanism based on energy and power regulation described above.

Alternatively, the memory 504 may be separate or integrated with the processor 503.

When the memory 504 is provided separately, the electronic device further comprises a bus for connecting the memory 504 and the processor 503.

The application also provides a computer readable storage medium, wherein the computer readable storage medium stores computer execution instructions, and when the processor executes the computer execution instructions, the virtual power plant transaction mechanism determining method based on the electric energy and the electric power regulation, which is executed by the virtual power plant transaction mechanism determining device based on the electric energy and the electric power regulation, is realized.

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 physical components may be implemented as software executed by a processor, such as a central processing unit, 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.

Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A virtual power plant trading mechanism determination method based on electric energy and electric power regulation, the method comprising:

acquiring an electric energy demand and an electric power regulation demand of a period to be traded;

Inputting the electric energy requirement and the electric power regulation requirement into a transaction clearing model to obtain an output variable, wherein the transaction clearing model is determined according to active power emitted by a plurality of units in a virtual power plant transaction system;

Performing iterative optimization processing on the output variable to obtain a target output variable;

And determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable.

2. The method of claim 1, wherein the plurality of units comprises: the method further comprises, before the electric energy requirement and the electric power regulation requirement are input into the traffic clearing model, the conventional generator set, the new energy generator set, the virtual power plant and the adjustable load:

Respectively acquiring active power of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load;

According to the active power, cost functions of the traditional generator set, the new energy generator set, the virtual power plant and the adjustable load are respectively determined;

and constructing the transaction verification model according to the plurality of cost functions.

3. The method of claim 2, wherein the active power comprises: the utility model provides an electric energy active power, electric power regulation active power, according to the active power, confirm respectively traditional generating set, new forms of energy generating set, virtual power plant with adjustable load's cost function includes:

Determining an electric energy cost function and an electric power demand cost function of the traditional generator set according to the electric energy active power of the traditional generator set and the electric power regulation active power of the traditional generator set;

According to the electric energy active power of the new energy generator set and the electric power of the new energy generator set, the active power is regulated, and an electric energy cost function and an electric power demand cost function of the new energy generator set are determined;

Adjusting active power according to the power of the virtual power plant, and determining a power demand cost function of the virtual power plant;

And determining a power demand cost function of the adjustable load according to the power adjustment active power of the adjustable load.

4. A method according to claim 3, wherein said constructing said transaction verification model from said plurality of cost functions comprises:

adding the cost function of the traditional generator set, the cost function of the new energy generator set, the power demand cost function of the virtual power plant and the power demand cost function of the adjustable load to obtain a cost model;

Determining a power regulation cost function according to the power demand cost function of the traditional generator set, the power demand cost function of the new energy generator set, the power demand cost function of the virtual power plant and the power demand cost function of the adjustable load;

And determining the transaction verification model according to the cost model, the electric energy balance function and the electric power adjustment cost function.

5. The method of claim 1, wherein said inputting the electrical energy demand and the electrical power conditioning demand into a transaction clearing model results in an output variable, comprising:

judging whether the electric energy requirement meets the electric power regulation requirement or not;

If the electric energy requirement meets the electric power regulation requirement, determining a target output variable according to a cost model;

And if the electric energy requirement does not meet the electric power regulation requirement, inputting the electric energy requirement and the electric power regulation requirement into the transaction verification model to obtain an output variable.

6. The method of claim 5, wherein the output variable comprises: generating set output power, generating set electric power regulation demand, virtual power plant electric power regulation demand and adjustable load volume, the pair output variable carries out iterative optimization processing, obtains target output variable, includes:

Determining a bilinear multiplication term according to the output variable, wherein the bilinear multiplication term is positioned in a power adjustment cost function for solving the output variable by the transaction finding model;

performing replacement processing on the bilinear multiplication term to obtain a first auxiliary variable;

Performing iterative optimization on the first auxiliary variable to obtain a second auxiliary variable;

judging whether the first auxiliary variable and the second auxiliary variable meet a preset condition or not;

And if the first auxiliary variable and the second auxiliary variable meet the preset condition, replacing the second auxiliary variable to obtain a target output variable.

7. The method of claim 6, wherein performing iterative optimization on the first auxiliary variable to obtain a second auxiliary variable comprises:

acquiring an adjustable variable of the nth time and a first auxiliary variable of the nth time;

And determining a second auxiliary variable of the (n+1) th time according to the electric energy transaction price, the adjustable variable of the nth time and the first auxiliary variable of the nth time.

8. A virtual power plant trading mechanism determination apparatus based on electrical energy and power regulation, the apparatus comprising:

the acquisition module is used for acquiring the electric energy requirement and the electric power regulation requirement of the period to be transacted;

The input module is used for inputting the electric energy requirement and the electric power regulation requirement into a transaction clearing model to obtain an output variable, and the transaction clearing model is determined according to active power sent by a plurality of units in a virtual power plant transaction system;

The processing module is used for carrying out iterative optimization processing on the output variable to obtain a target output variable;

and the determining module is used for determining a trading mechanism of the virtual power plant trading system in the period to be traded according to the target output variable.

9. A virtual power plant trading mechanism determination device based on electrical energy and power regulation, comprising:

a memory;

A processor;

wherein the memory stores computer-executable instructions;

The processor executes computer-executable instructions stored in the memory to implement the virtual power plant trading mechanism determination method based on electrical energy and power regulation of any of claims 1-7.

10. A computer readable storage medium, wherein computer executable instructions are stored in the computer readable storage medium, which when executed by a processor is adapted to implement the virtual power plant transaction mechanism determination method based on electrical energy and power regulation according to any one of claims 1-7.