CN111695757A - Method and device for evaluating peak load demand response income of virtual power plant on power grid side - Google Patents

Method and device for evaluating peak load demand response income of virtual power plant on power grid side Download PDF

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CN111695757A
CN111695757A CN202010323089.0A CN202010323089A CN111695757A CN 111695757 A CN111695757 A CN 111695757A CN 202010323089 A CN202010323089 A CN 202010323089A CN 111695757 A CN111695757 A CN 111695757A
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power plant
peak load
demand response
max
virtual power
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吴宛潞
毛田
韩帅
王滔
郭小璇
邹金
孙乐平
周保荣
张旻钰
谢平平
肖静
赵文猛
吴宁
冯玉斌
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China South Power Grid International Co ltd
Electric Power Research Institute of Guangxi Power Grid Co Ltd
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Abstract

The invention discloses a method and a device for evaluating peak load demand response income of a virtual power plant on a power grid side, wherein the method comprises the following steps: acquiring annual load state data through a power grid load interface of a docking area; according to the annual load state data, the set peak load reduction percentage and the incentive electricity price, calculating to obtain the maximum benefit and the minimum benefit of the virtual power plant when participating in the peak load demand response; evaluating the peak load demand response income of the virtual power plant at the power grid side based on the maximum income and the minimum income; the device comprises: a regional power grid load receiver and a virtual power plant peak load demand response income assessment processor. In the implementation of the method, the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response are reasonably evaluated, and an effective means is provided for comprehensive evaluation of the construction benefit of the virtual power plant.

Description

Method and device for evaluating peak load demand response income of virtual power plant on power grid side
Technical Field
The invention relates to the technical field of virtual power plant application, in particular to a method and a device for evaluating peak load demand response income of a virtual power plant on a power grid side.
Background
In recent years, with the development of distributed power generation, power demand side management, smart grid, and the like, virtual power plants have received increasing attention. The virtual power plant is a new generation intelligent control technology and an interactive business mode for the aggregation optimization of net source load clean development, integrates distributed power supplies, controllable loads, energy storage devices and other equipment in a fine energy management mode by relying on the internet and a modern information communication technology, and provides a new operation scheme for breaking clean energy consumption, realizing multi-energy complementation at a power supply side, promoting flexible interaction at a load side and constructing a safe, economic, efficient and reliable power grid. However, the virtual power plant construction needs certain equipment transformation, technical economy and other investment, potential benefits of the virtual power plant are scientifically calculated, the economic performance of the virtual power plant is evaluated, and the method has important reference value for the virtual power plant construction development.
Most of the existing virtual power plant benefit evaluation methods evaluate and calculate the internal cost and the life-cycle fund flow of the virtual power plant, do not take the influence of the load condition of the power grid side on the operation benefit of the virtual power plant into account, neglect the requirement and the constraint of the power grid side, and do not comprehensively evaluate the technical and economic values brought by the operation of the virtual power plant.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a method and a device for evaluating the peak load demand response income of a virtual power plant on the power grid side, which are used for reasonably evaluating the maximum income and the minimum income of the virtual power plant when participating in the peak load demand response.
In order to solve the technical problem, an embodiment of the present invention provides a method for assessing peak load demand response income of a virtual power plant on a power grid side, where the method includes:
acquiring annual load state data through a power grid load interface of a docking area;
according to the annual load state data, the set peak load reduction percentage and the incentive electricity price, calculating to obtain the maximum benefit and the minimum benefit of the virtual power plant when participating in the peak load demand response;
and evaluating the peak load demand response income of the virtual power plant at the power grid side based on the maximum income and the minimum income.
Optionally, the maximum profit when the virtual power plant participates in the peak load demand response is obtained through calculation, and a specific calculation formula is as follows:
Fmax=pVPP×EVPP,max
wherein, FmaxThe maximum profit is the maximum profit when the virtual power plant participates in the peak load demand response; p is a radical ofVPPThe method comprises the following steps of (1) enabling a virtual power plant to participate in excitation electricity prices when peak load is reduced; eVPP,maxPotential maximum demand for virtual power plant participation in peak load demand responseAnd solving the response electric quantity.
Optionally, the potential maximum demand response electric quantity E when the virtual power plant participates in the peak load demand responseVPP,maxThe specific calculation formula is as follows:
EVPP,max=∑CVPP× t, and Pt∈[Pmax×(1-s,max),Pmax];
Wherein t is time; cVPPIs the capacity of the virtual power plant; pmaxThe peak maximum load of the regional power grid;s,maxa reduction percentage for the virtual power plant at peak load reduction; [ P ]max×(1-s,max),Pmax]Namely the reduction interval when the peak load of the virtual power plant is reduced.
Optionally, capacity C of the virtual power plantVPPThe specific calculation formula is as follows:
CVPP=Pmax×s,max
wherein, PmaxThe peak maximum load of the regional power grid;s,maxthe percentage reduction at peak load is reduced for the virtual power plant.
Optionally, the minimum profit when the virtual power plant participates in the peak load demand response is obtained through calculation, and a specific calculation formula is as follows:
Fmin=pVPP×EVPP,min
wherein, FminThe minimum profit is the minimum profit when the virtual power plant participates in the peak load demand response; eVPP,minResponding to the potential minimum demand electric quantity when the virtual power plant participates in peak load demand response; p is a radical ofVPPThe virtual power plant is engaged in incentive electricity prices at peak load shedding.
Optionally, the potential minimum demand response electric quantity E when the virtual power plant participates in peak load demand responseVPP,minThe specific calculation formula is as follows:
EVPP,min=∑(Pt-Pmax×(1-s,max) × t, and Pt∈[Pmax×(1-s,max),Pmax];
Wherein, PmaxThe peak maximum load of the regional power grid;s,maxthe percentage reduction at peak load is reduced for the virtual power plant.
In addition, the embodiment of the invention also provides a device for evaluating the peak load demand response income of the virtual power plant at the power grid side, which comprises the following steps:
regional power grid load receiver: the system comprises a data acquisition module, a data acquisition module and a data transmission module, wherein the data acquisition module is used for acquiring annual load state data through a power grid load interface of a docking area;
a virtual power plant peak load demand response revenue assessment processor: and calculating the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response according to the annual load state data, the set peak load reduction percentage and the incentive electricity price.
Optionally, the regional power grid load receiver is docked with the regional power grid load interface, so as to obtain annual load status data.
Optionally, the virtual power plant peak load demand response income assessment processor is connected with the regional power grid load receiver, and collects and monitors required information in real time.
Optionally, the apparatus further comprises an evaluation module;
and the evaluation module is used for evaluating the peak load demand response income of the virtual power plant on the power grid side based on the maximum income and the minimum income.
In the implementation of the invention, by acquiring the annual load data of the regional power grid, setting the incentive electricity price and the basic information of the load reduction percentage, the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response can be effectively evaluated based on the regional power grid load receiver and the virtual power plant peak load demand response income evaluation processor. The method fully considers regional power grid annual load data, incentive electricity prices and load reduction percentages, can reasonably evaluate the maximum benefit and the minimum benefit when the virtual power plant participates in peak load demand response, is simple and convenient to calculate, and provides an effective means for comprehensive evaluation of virtual power plant construction benefits.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for assessing peak load demand response revenue of a power grid-side virtual power plant in an embodiment of the invention;
FIG. 2 is a schematic structural composition diagram of a peak load demand response income evaluation device of a power grid-side virtual power plant in the embodiment of the invention;
FIG. 3 is a schematic diagram illustrating the calculation of maximum profit and minimum profit when a virtual power plant in a certain area participates in a peak load demand response according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for evaluating peak load demand response revenue of a virtual power plant on a power grid side in an embodiment of the present invention.
As shown in fig. 1, a method for assessing peak load demand response revenue of a virtual power plant on a power grid side includes:
s11: acquiring annual load state data through a power grid load interface of a docking area;
in the specific implementation process of the invention, the regional power grid load receiver is in butt joint with the regional power grid load interface, so that the annual load state data is obtained.
S12: according to the annual load state data, the set peak load reduction percentage and the incentive electricity price, calculating to obtain the maximum benefit and the minimum benefit of the virtual power plant when participating in the peak load demand response;
in the specific implementation process of the invention, the maximum profit of the virtual power plant when participating in the peak load demand response is obtained through calculation, and the specific calculation formula is as follows:
Fmax=pVPP×EVPP,max
wherein, FmaxThe maximum profit is the maximum profit when the virtual power plant participates in the peak load demand response; p is a radical ofVPPThe method comprises the following steps of (1) enabling a virtual power plant to participate in excitation electricity prices when peak load is reduced; eVPP,maxThe method is used for responding to the potential maximum demand when the virtual power plant participates in peak load demand response.
Specifically, the potential maximum demand response electric quantity E of the virtual power plant when participating in peak load demand responseVPP,maxThe specific calculation formula is as follows:
EVPP,max=∑CVPP× t, and Pt∈[Pmax×(1-s,max),Pmax];
Wherein t is time; cVPPIs the capacity of the virtual power plant; pmaxThe peak maximum load of the regional power grid;s,maxa reduction percentage for the virtual power plant at peak load reduction; [ P ]max×(1-s,max),Pmax]Namely the reduction interval when the peak load of the virtual power plant is reduced.
In particular, the capacity C of the virtual power plantVPPThe specific calculation formula is as follows:
CVPP=Pmax×s,max
wherein, PmaxThe peak maximum load of the regional power grid;s,maxthe percentage reduction at peak load is reduced for the virtual power plant.
In the specific implementation process of the invention, the minimum profit of the virtual power plant in participating in the peak load demand response is obtained through calculation, and the specific calculation formula is as follows:
Fmin=pVPP×EVPP,min
wherein, FminThe minimum profit is the minimum profit when the virtual power plant participates in the peak load demand response; eVPP,minResponding to the potential minimum demand electric quantity when the virtual power plant participates in peak load demand response; p is a radical ofVPPThe virtual power plant is engaged in incentive electricity prices at peak load shedding.
Specifically, the potential minimum demand response electric quantity E when the virtual power plant participates in peak load demand responseVPP,minThe specific calculation formula is as follows:
EVPP,min=∑(Pt-Pmax×(1-s,max) × t, and Pt∈[Pmax×(1-s,max),Pmax];
Wherein, PmaxThe peak maximum load of the regional power grid;s,maxthe percentage reduction at peak load is reduced for the virtual power plant.
S13: and evaluating the peak load demand response income of the virtual power plant at the power grid side based on the maximum income and the minimum income.
It should be noted that the larger the capacity of the virtual power plant participating in the peak load demand side response is, the larger the gap between the corresponding minimum profit and maximum profit is.
In the implementation of the invention, by acquiring the annual load data of the regional power grid, setting the incentive electricity price and the basic information of the load reduction percentage, the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response can be effectively evaluated based on the regional power grid load receiver and the virtual power plant peak load demand response income evaluation processor. The method fully considers regional power grid annual load data, incentive electricity prices and load reduction percentages, can reasonably evaluate the maximum benefit and the minimum benefit when the virtual power plant participates in peak load demand response, is simple and convenient to calculate, and provides an effective means for comprehensive evaluation of virtual power plant construction benefits.
Example two
Referring to fig. 2, fig. 2 is a schematic structural composition diagram of a peak load demand response income evaluation device of a power grid-side virtual power plant in an embodiment of the present invention.
As shown in fig. 2, a device for assessing peak load demand response income of a virtual power plant on the side of a power grid comprises:
regional power grid load receiver 11: the system comprises a data acquisition module, a data acquisition module and a data transmission module, wherein the data acquisition module is used for acquiring annual load state data through a power grid load interface of a docking area;
in the specific implementation process of the invention, the regional power grid load receiver is in butt joint with the regional power grid load interface, so that annual load state data is obtained.
Virtual plant peak load demand response revenue assessment processor 12: and calculating the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response according to the annual load state data, the set peak load reduction percentage and the incentive electricity price.
In the specific implementation process of the invention, the virtual power plant peak load demand response income assessment processor is connected with the regional power grid load receiver and is used for acquiring and monitoring required information in real time.
In addition, the device comprises an evaluation module 13; and the evaluation module is used for evaluating the peak load demand response income of the virtual power plant on the power grid side based on the maximum income and the minimum income.
Specifically, the working principle of the device related function module according to the embodiment of the present invention may refer to the description related to the first method embodiment, and is not described herein again.
In the implementation of the invention, by acquiring the annual load data of the regional power grid, setting the incentive electricity price and the basic information of the load reduction percentage, the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response can be effectively evaluated based on the regional power grid load receiver and the virtual power plant peak load demand response income evaluation processor. The method fully considers regional power grid annual load data, incentive electricity prices and load reduction percentages, can reasonably evaluate the maximum benefit and the minimum benefit when the virtual power plant participates in peak load demand response, is simple and convenient to calculate, and provides an effective means for comprehensive evaluation of virtual power plant construction benefits.
EXAMPLE III
In specific implementation, taking a certain area virtual power plant participating in peak load demand response as an example, a regional power grid load receiver sends collected regional power grid load information to a virtual power plant peak load demand response income assessment processor; the virtual power plant peak load demand response income assessment processor calculates the maximum income and the minimum income of a virtual power plant when participating in peak load demand response according to the information such as regional power grid annual load data, incentive electricity prices, load reduction percentage and the like and the proposed power grid side virtual power plant peak load demand response income assessment method, and the result is shown in fig. 3, wherein fig. 3 is a schematic diagram for calculating the maximum income and the minimum income of a certain regional virtual power plant when participating in peak load demand response in the embodiment of the invention; wherein, parameters in the calculation of the maximum income and the minimum income when the virtual power plant in the area participates in the peak load demand response are shown in the table 1;
TABLE 1 parameter Table for maximum and minimum revenue calculation when a virtual power plant in a certain area participates in a peak load demand response
Parameter(s) Numerical value
p
VPP 1 yuan/kWh
δs,max 0.01,0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.09,0.1
As can be seen from the comparison of the results in FIG. 3, the load reduction ratio when the peak load is reduceds,maxSetting the maximum demand response amount of the virtual power plant participating in peak load reduction to be 7.67 hundred million kWh and the minimum demand response amount to be 2.93 hundred million kWh when 10%, namely the abscissa value shows the point corresponding to 0.1; calculating according to the response electricity price of 1 yuan/kWh, and calculating that the income range of the virtual power plant participating in the peak load demand response is 2.93-7.67 yuan; it can also be seen from fig. 3 that as the virtual plant capacity is larger in engaging in the peak load demand side response, the corresponding minimum and maximum revenue gap is larger.
In the implementation of the invention, by acquiring the annual load data of the regional power grid, setting the incentive electricity price and the basic information of the load reduction percentage, the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response can be effectively evaluated based on the regional power grid load receiver and the virtual power plant peak load demand response income evaluation processor. The method fully considers regional power grid annual load data, incentive electricity prices and load reduction percentages, can reasonably evaluate the maximum benefit and the minimum benefit when the virtual power plant participates in peak load demand response, is simple and convenient to calculate, and provides an effective means for comprehensive evaluation of virtual power plant construction benefits.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.
In addition, the method and the device for evaluating the peak load demand response income of the virtual power plant at the power grid side provided by the embodiment of the invention are described in detail, a specific embodiment is adopted to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A method for evaluating the peak load demand response income of a virtual power plant on a power grid side is characterized by comprising the following steps:
acquiring annual load state data through a power grid load interface of a docking area;
according to the annual load state data, the set peak load reduction percentage and the incentive electricity price, calculating to obtain the maximum benefit and the minimum benefit of the virtual power plant when participating in the peak load demand response;
and evaluating the peak load demand response income of the virtual power plant at the power grid side based on the maximum income and the minimum income.
2. The method for assessing peak load demand response revenue of a virtual power plant at the power grid side as claimed in claim 1, wherein the maximum revenue of the virtual power plant in participating in the peak load demand response is obtained by calculation according to the following specific calculation formula:
Fmax=pVPP×EVPP,max
wherein, FmaxThe maximum profit is the maximum profit when the virtual power plant participates in the peak load demand response; p is a radical ofVPPThe method comprises the following steps of (1) enabling a virtual power plant to participate in excitation electricity prices when peak load is reduced; eVPP,maxThe method is used for responding to the potential maximum demand when the virtual power plant participates in peak load demand response.
3. The method of claim 2, wherein the virtual power plant is configured to participate in peak load demand response with a potential maximum demand response electric quantity EVPP,maxThe specific calculation formula is as follows:
EVPP,max=∑CVPP× t, and Pt∈[Pmax×(1-s,max),Pmax];
Wherein t is time; cVPPIs the capacity of the virtual power plant; pmaxThe peak maximum load of the regional power grid;s,maxa reduction percentage for the virtual power plant at peak load reduction; [ P ]max×(1-s,max),Pmax]Namely the reduction interval when the peak load of the virtual power plant is reduced.
4. The method of claim 3, wherein capacity C of the virtual power plant is estimated based on the peak load demand response revenue of the virtual power plantVPPThe specific calculation formula is as follows:
CVPP=Pmax×s,max
wherein, PmaxThe peak maximum load of the regional power grid;s,maxthe percentage reduction at peak load is reduced for the virtual power plant.
5. The method for assessing peak load demand response revenue of a virtual power plant at the power grid side as claimed in claim 1, wherein the minimum revenue of the virtual power plant in participating in the peak load demand response is obtained by calculation, and the specific calculation formula is as follows:
Fmin=pVPP×EVPP,min
wherein, FminThe minimum profit is the minimum profit when the virtual power plant participates in the peak load demand response; eVPP,minResponding to the potential minimum demand electric quantity when the virtual power plant participates in peak load demand response; p is a radical ofVPPThe virtual power plant is engaged in incentive electricity prices at peak load shedding.
6. The method as claimed in claim 5, wherein the virtual power plant is a potential minimum demand response electric quantity E when participating in peak load demand responseVPP,minThe specific calculation formula is as follows:
EVPP,min=∑(Pt-Pmax×(1-s,max) × t, and Pt∈[Pmax×(1-s,max),Pmax];
Wherein, PmaxThe peak maximum load of the regional power grid;s,maxthe percentage reduction at peak load is reduced for the virtual power plant.
7. A grid-side virtual plant peak load demand response revenue assessment apparatus, comprising:
regional power grid load receiver: the system comprises a data acquisition module, a data acquisition module and a data transmission module, wherein the data acquisition module is used for acquiring annual load state data through a power grid load interface of a docking area;
a virtual power plant peak load demand response revenue assessment processor: and calculating the maximum benefit and the minimum benefit of the virtual power plant participating in the peak load demand response according to the annual load state data, the set peak load reduction percentage and the incentive electricity price.
8. The peak load demand response revenue assessment apparatus of a grid-side virtual power plant according to claim 7, wherein said regional grid load receiver interfaces with said regional grid load interface to obtain year round load status data.
9. The peak load demand response revenue assessment apparatus according to claim 7, wherein said virtual plant peak load demand response revenue assessment processor is connected to said regional grid load receiver and collects and monitors the required information in real time.
10. The grid-side virtual plant peak load demand response revenue assessment apparatus of claim 7, further comprising an assessment module;
and the evaluation module is used for evaluating the peak load demand response income of the virtual power plant on the power grid side based on the maximum income and the minimum income.
CN202010323089.0A 2020-04-22 2020-04-22 Method and device for evaluating peak load demand response income of virtual power plant on power grid side Pending CN111695757A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749848A (en) * 2021-01-18 2021-05-04 深圳供电局有限公司 Method and system for predicting annual income of virtual power plant

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112749848A (en) * 2021-01-18 2021-05-04 深圳供电局有限公司 Method and system for predicting annual income of virtual power plant

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Application publication date: 20200922