Research On Bidding Strategy Of Virtual Power Plant Bidding And Revenue Distribution In Multi-microgrid

With the development of the economy and the advancement of science and technology,the development and utilization of renewable energy has gradually become the only way for sustainable development of society.As a new form of distributed energy,microgrid has received more and more attention because of its flexible scheduling.However,in the process of microgrid participation in the electricity market transaction,it faces the problems of high scheduling cost and low profit.The virtual power plant in the microgrid can effectively integrate distributed energy with different capacity levels as the whole to participate in the power market,with strong stability and market competitiveness.Therefore,this paper mainly studies the following aspects in the virtual power plant in the microgrid:The mathematical model of the basic components of the virtual power plant in the microgrid is briefly described.The mathematical model of each part considering the uncertainty is established.The partial output and load forecasting models are established.The virtual power plant in the microgrid is proposed.Multi-agent control structure for bidding and revenue distribution between virtual power plants.Aiming at the low bidding profit of each part of the virtual power plant,the bidding model of the internal competition cooperation game of the virtual power plant was established.In order to obtain the high profit,the internal bidding revenue distribution scheduling strategy of the virtual power plant with load compensation was proposed.The risk factor improves the shapley value distribution method of income distribution,so that the improved shapley value method can meet the requirements of different players to bear different cooperation risks,and encourage the players to embark on the road of cooperation to obtain more.Revenue,and consider the load response strategy of demand response,compensate the participants in the bidding process,ensure the stability of the game alliance,and improve the overall income.The virtual power plant bid satisfaction evaluation factor is introduced,and the scheduling strategy is evaluated quantitatively as an important criterion for whether the strategy is accepted.Finally,the internal bidding model of the virtual power plant is established,and the proposed bidding strategy is simulated and verified,which proves its effectiveness.Aiming at the high cost and low profit in the bidding process between multiple virtual power plants in the microgrid,a bidding strategy for cooperative gaming between multiple virtual power plants is proposed.In order to optimize the target by reducing costs and increasing profit,and taking into account the constraints of upper and lower limits,electricity price and electricity,a game model of multiple virtual power plants participating in bidding and revenue distribution was established.The artificial bee colony algorithm is improved,and the dynamic Cauchy factor is introduced to avoid it falling into local optimum.The improved artificial bee colony algorithm is used to solve the established game model,which improves the convergence speed and is verified by a case study.The effectiveness of the scheduling strategy and the performance of the algorithm.