An Optimal Decision-Making Method for Photovoltaic Producers and Consumers

Abstract

The invention relates to a photovoltaic producer-consumer optimization decision-making method. According to the electricity demand response of photovoltaic producers and consumers, establish the basic model of demand response resources on the side of photovoltaic producers and consumers; according to the price of electric energy, based on the basic model of demand response resources on the side of photovoltaic producers and consumers, establish the economic model of photovoltaic producers and consumers; According to the economic model of photovoltaic prosumers, the comprehensive benefit model of photovoltaic prosumers is established; according to the choice of photovoltaic prosumers for electricity use, based on the basic model of photovoltaic prosumer-side demand response resources and the comprehensive benefit model of photovoltaic prosumers, establish Non-cooperative stochastic game model for the maximum benefit of photovoltaic prosumers; using distributed optimization algorithm and Viterbi algorithm, according to the non-cooperative stochastic game model, the optimal decision-making of photovoltaic prosumers and the optimal benefit of photovoltaic prosumers are obtained. The present invention comprehensively considers the objective randomness of photovoltaic power generation and the subjective randomness of decision-making of photovoltaic prosumers, obtains the optimal decision-making of photovoltaic prosumers through a game process, and reduces the error with the actual optimal decision-making process.

Description

technical field [0001] The invention relates to the technical field of photovoltaic prosumer optimization decision-making, in particular to a photovoltaic prosumer optimization decision-making method. Background technique [0002] The reform of the power sales side is an important aspect of the reform of the power system. In the "Several Opinions on Further Deepening the Reform of the Power System", it is clearly stated: "Orderly release the power distribution and sales business to social capital", allowing distributed power generation systems (users or micro-grid) to participate in electric energy transactions, users have the right to choose independently, and it is necessary to form a multi-buyer-multi-seller market structure. Among them, photovoltaic power generation has been widely promoted and applied due to its clean and sustainable characteristics. With the development of photovoltaic power generation, a new type of entity, photovoltaic prosumers, has emerged in the ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the randomness problem in the optimization decision-making process of photovoltaic producers and consumers, the existing technology generally uses multiple scenarios to represent the randomness of photovoltaic power generation, and uses the extreme value of conditional risk to represent the risk in the transaction, and finally converts it into expectation with the help of regularization function to solve the problem , and in the decision-making process, photovoltaic prosumers are often irrational, and the decision-making itself has a certain degree of randomness. Only considering the randomness of photovoltaic power generation, the optimization decision-making error is relatively large

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