CN-122001021-A - Method for participation of optical storage charging and discharging station in multi-main-body cooperative game

CN122001021ACN 122001021 ACN122001021 ACN 122001021ACN-122001021-A

Abstract

The invention discloses a method for participating in multi-main-body cooperative game of an optical storage charging and discharging station, which comprises the steps of modeling according to internal operation characteristics and business operation modes of each main body to obtain a private objective function and an operation constraint set, constructing a multi-main-body cooperative game framework, decomposing a multi-main-body cooperative game problem into a coalition benefit maximization sub-problem and a benefit distribution sub-problem which are solved sequentially, introducing a self-adaptive penalty factor based on the sub-problem, and obtaining an optimal scheduling strategy by adopting an enhanced alternate direction multiplier method for distributed solving. The invention fully considers the internal operation characteristics of each operator main body to carry out modeling, ensures the flexible operation of the optical storage charging and discharging station, and can ensure the overall optimization of the alliance and the reasonable and fair distribution of the cooperation remainder among all the participating main bodies by sequentially solving the alliance benefit maximization sub-problem and the benefit distribution sub-problem, thereby ensuring the long-term stability of the alliance.

Inventors

CHENG LANFANG
DU CHENGBIN
CHEN XIAODONG
WEI XULIANG
XU QINBIAO
LIU LIPING
LIU LILIANG
SUN LULU
DENG FENGLIN
ZHANG KEJIAN

Assignees

国网安徽省电力有限公司宣城供电公司

Dates

Publication Date: 20260508
Application Date: 20260129

Claims (10)

1. The method for participating in multi-main-body cooperative game by the optical storage charging and discharging station is characterized by comprising the following steps: Modeling according to the internal operation characteristics and the business operation modes of each independent operator main body to obtain private objective functions and operation constraint sets of each operator main body; Based on the private objective function and the operation constraint set of each operator main body, constructing a multi-main-body cooperative game framework, and decomposing the multi-main-body cooperative game problem into a coalition benefit maximization sub-problem and a benefit distribution sub-problem which are solved sequentially; Based on the sub-problem, introducing a self-adaptive penalty factor, and adopting an enhanced alternating direction multiplier method to perform distributed solution to obtain an optimal scheduling strategy.
2. The method for participating in multi-principal cooperative gaming of an optical storage charging and discharging station according to claim 1, wherein the independent operation principal comprises an optical storage charging and discharging station operator principal, an intelligent building operator principal and a distributed power generation operator principal.
3. The method for participating in multi-main-body cooperative game in an optical storage charging and discharging station according to claim 1, wherein the modeling according to the internal operation characteristics and the business operation modes of each independent operator main body to obtain the private objective function and the operation constraint set of each operator main body comprises the following steps: Constructing an internal operation model of an optical storage charge-discharge station operator main body, and obtaining an internal power balance constraint and an objective function of the optical storage charge-discharge station operator main body; constructing an internal operation model of an intelligent building operator main body, and obtaining an internal power balance constraint of the internal operation model and an objective function of the intelligent building operator main body; and constructing an internal operation model of the distributed power generation operator main body, and obtaining internal power balance constraint and an objective function of the distributed power generation operator main body.
4. The method for participating in multi-main body cooperative game for optical storage charging and discharging station according to claim 3, wherein the constructing an internal operation model of an operator main body of the optical storage charging and discharging station comprises: Comprehensively considering the coupling characteristic and the cooperative operation characteristic of each device in the optical storage charging and discharging station, and respectively modeling a photovoltaic power generation system, an energy storage system and an electric vehicle bidirectional charging and discharging pile; when modeling the photovoltaic power generation system, the time-varying characteristics of the photovoltaic output and influence factors thereof are considered, and the time variable of the photovoltaic output and the constraint thereof are obtained; When the energy storage system is modeled, a state-of-charge dynamic change equation is established according to the charge and discharge behaviors of the energy storage system, and the charge and discharge power constraint and the charge state constraint of the energy storage system are obtained; when the electric vehicle bidirectional charging and discharging pile is modeled, an energy dynamic equation of the electric vehicle bidirectional charging pile aggregate is established, and the charging and discharging power constraint and the charging safety operation constraint of the electric vehicle bidirectional charging pile aggregate are obtained.
5. The method for participating in multi-agent cooperative game in optical storage charging and discharging station according to claim 3 or 4, wherein the constructing an internal operation model of the intelligent building operator agent comprises: based on the thermal resistance-heat capacity network, establishing a heat balance dynamic model of the wall body and the indoor area; and based on the thermal balance dynamic model, aggregating the heating ventilation and air conditioning loads of all indoor areas in the building, obtaining the total schedulable load of the heating ventilation and air conditioning, and establishing comfort degree constraint and equipment operation constraint.
6. The method for participating in multi-main-body cooperative game in an optical storage charging and discharging station according to claim 1, wherein a Nash bargaining theory is adopted when decomposing a multi-main-body cooperative game problem into a coalition benefit maximization sub-problem and a benefit distribution sub-problem which are solved sequentially; The alliance benefit maximization sub-problem obtains the optimal electric energy transaction power and the optimal internal operation strategy of each operator main body in the alliance on the premise of meeting the private operation constraint and transaction power consensus constraint of all operator main bodies; based on the optimal electric energy trading power and the optimal internal operation strategy, the benefit maximization sub-problem determines trading electricity prices among operator bodies in the alliance through negotiations to distribute cooperative surplus.
7. The method of participation in a multi-subject cooperative game by a photo-storage charging and discharging station according to claim 1 or 6, wherein the uncertainty of photovoltaic output and electric car access is taken into account comprehensively, and the objective function of the alliance benefit maximization sub-problem is set to be the sum of the first stage cost of minimizing the day-ahead decision and the second stage expected cost of timely adjusting to cope with the uncertainty.
8. The method of participating in a multi-master cooperative game with optical storage charging and discharging station of claim 1, wherein a logarithmic function is introduced to equivalently translate the benefit distribution sub-problem into a minimized negative logarithmic summation problem.
9. The method for participating in multi-main-body cooperative game of optical storage charging and discharging station according to claim 1, wherein when the sub-problems are solved in a distributed manner by adopting an enhanced alternate direction multiplier method, lagrange multipliers and self-adaptive penalty factors are introduced, and alliance benefit maximization sub-problems and benefit distribution sub-problems are sequentially decomposed into distributed optimization problems of each operator main body respectively.
10. The method for participating in multi-main-body cooperative game of optical storage charging and discharging station according to claim 9, wherein the coalition benefit maximization sub-problem is decomposed into distributed optimization problems of each operator main body, and the internal operation strategy and the transaction electric quantity between main bodies under the cooperative game of each operator main body in the scheduling strategy are obtained by adopting an alternate direction multiplier method to carry out iterative solution; and decomposing the benefit distribution sub-problem into a distributed optimization problem of each operator main body, and based on the transaction electric quantity among the main bodies, adopting an alternate direction multiplier method to carry out iterative solution to obtain the transaction electricity price among the main bodies under the cooperation game of each operator main body in the scheduling strategy.

Description

Method for participation of optical storage charging and discharging station in multi-main-body cooperative game Technical Field The invention relates to the technical field of power grids, in particular to a method for participating in multi-main-body cooperative game by an optical storage charging and discharging station. Background Along with the rapid development of new energy automobile industry, an optical storage charging and discharging station integrating multiple heterogeneous devices such as photovoltaic, energy storage, bidirectional charging and discharging piles and the like has become key basic equipment. However, in the conventional operation mode, the optical storage charging and discharging station is limited to the self economy or local optimization in the station, and cannot effectively participate in multi-main-body market transactions in the multi-main-body coexisting electric power market environment. How to realize mutual power utilization and benefit sharing among the main bodies through an effective cooperative game mechanism fully considers differentiated benefit appeal and private information of the main bodies of each operator becomes a key problem for improving the utilization efficiency and economy of the whole energy. The prior researches mainly have the following defects: (1) Most focus on single-body optimization, lack of system modeling for multi-body cooperative gaming, and difficulty in establishing an effective multilateral transaction mechanism. (2) In the research related to multi-body cooperation, the optical storage charging station is often simplified into a single unit, the deep coupling and complex constraint among light, storage and load in the optical storage charging station are ignored, the model is disconnected from the actual model, and meanwhile, the optical storage charging station has the characteristics of faster response, stronger fluctuation, higher uncertainty and the like, and the application of the traditional method is limited due to the insufficient adaptability of the traditional method. (3) The existing game framework often has heavy overall benefit and light benefit fair distribution, lacks a distributed bargaining mechanism for protecting privacy of each party, and takes actual factors such as electricity price fluctuation, equipment loss and the like into less consideration. Therefore, it is needed to construct a collaborative optimization method capable of finely describing the running characteristics in the station, supporting the multi-subject electric energy transaction and realizing the fair distribution of benefits on the premise of protecting the privacy of the multi-subject, so as to fully exert the flexibility advantage of the optical storage charging and discharging station and promote the overall economic running level of the optical storage charging and discharging station and the collaborative alliance. Disclosure of Invention In order to overcome the defects in the prior art, the embodiment of the invention provides a method for participating in multi-main-body cooperative game by an optical storage charging and discharging station, which solves the problem that the flexibility advantage of the optical storage charging and discharging station cannot be exerted on the premise of protecting the privacy of each operator main body when the optical storage charging and discharging station is in cooperative operation due to inaccurate modeling of the optical storage charging and discharging station. In order to achieve the above purpose, the embodiment of the invention provides a method for participating in multi-main-body cooperative game by an optical storage charging and discharging station, which comprises the steps of modeling according to the internal operation characteristics and business operation modes of each independent operator main body to obtain private objective functions and operation constraint sets of each operator main body; Based on the private objective function and the operation constraint set of each operator main body, constructing a multi-main-body cooperative game framework, and decomposing the multi-main-body cooperative game problem into a coalition benefit maximization sub-problem and a benefit distribution sub-problem which are solved sequentially; Based on the sub-problem, introducing a self-adaptive penalty factor, and adopting an enhanced alternating direction multiplier method to perform distributed solution to obtain an optimal scheduling strategy. In a preferred embodiment, the independent operation main body comprises an optical storage charging and discharging station operator main body, an intelligent building operator main body and a distributed power generation operator main body. In a preferred embodiment, the modeling according to the internal operation characteristics and the business operation modes of each independent operator main body to obtain the private objective function and the ope