Trading Strategy Of Virtual Power Plant Participating In Electric Power Spot Market

As China continues to attach more importance to the utilization of clean energy,the development of Distributed Renewable Energy(DRE)is becoming more and more rapid.However,it is difficult for a single DRE to participate in the operation of the electricity market due to its small capacity and large randomness.Combining wind Power,photovoltaic,energy storage devices,gas turbines,and internal loads to form a Virtual Power Plant(VPP)is an effective way to stabilize output deviation and promote renewable energy consumption.At present,the research on VPP mainly focuses on the optimization and dispatching of single VPP,but there are few researches on the impact of the uncertainty of electricity prices in the spot market and the competitive relationship between multiple VPP.Therefore,in the context of the electricity market,this article studies the optimal strategy for single and multiple virtual power plants participate in the power spot market.The following studies are carried out as follows:Firstly,virtual power plants with different functions are introduced,and the control methods of the virtual power plants are divided according to different aggregation methods.Three trading modes of single virtual power plant participating in the power market and the bidding methods are studied,and a trading framework for multiple virtual power plants participating in the power market is established accordingly.Secondly,in view of the uncertainty of spot electricity price and its unpredictable characteristics,this paper adopts a robust optimization method to deal with the uncertainty of market electricity price,and establishes a robust optimization in the spot electricity market that takes into account the uncertainty of spot electricity price.The analysis of calculation examples proves that the model can effectively deal with the uncertainty of spot electricity prices,and can adjust the robust optimization coefficients of day-ahead and real-time markets at the same time,so that the model takes into account both robustness and economy,and improves the rationality of the virtual power plant bidding strategy.Finally,aiming to maximize their own interests when multiple virtual power plants participate in the power spot market,and their interests conflict with each other,this paper establishes a non-cooperative game-based bidding model for multiple virtual power plants,the non-cooperative game bidding process of three virtual power plants is analyzed,and a reasonable bidding strategy is obtained through the comparison of different combinations,which provides an idea for the trading strategy of multiple virtual power plants.