Game-based Bidding Strategy Of Virtual Power Plant And Wind Power Accommodation Mechanism Based On Demand Response

Using the virtual power plant(VPP)technology to solve the dispatch problem caused by that distributed generation's small capacity and scattered layout is considered by scholars at home and abroad as the effective means.A game-based bidding strategy of VPP and a demand response(DR)mechanism within the VPP which is advantageous to the wind power accommodation are put forward.Market clearing mechanism and way of profit distribution in the VPP are designed.As for the proposed Game-based bidding strategy of VPP,it need to know the cost function of VPP,but unlike conventional power plant,there is no ready-made cost function of VPP.Firstly,to get the cost function of VPP,the simple and practical interval method is used to process the uncertainty of load forecasting and wind power output prediction,economic dispatching model of VPP is set up.Getting VPP output limit by adding a certain amount output of VPP and solving the economic dispatching model of VPP repeatedly.According to the output and optimal cost of VPP,the least square method is used to fit coefficient of the cost function of VPP under the assumption that cost function of VPP is quadratic function like CPP's.On the basis of output limit and cost function of VPP,market clearing model with goal of social welfare maximization is established.In order to make the proposed gamebased bidding strategy more practical,in this paper,in addition to the complete information game incomplete information game is also considered.Finally,using novel bat algorithm to solve game final state of the VPP and CPP,namely the Nash equilibrium.Thus the best decision variables of VPP is obtained,that is optimum reaction of VPP to the other competitors.Numerical example results verified the validity and practicability of the proposed method in this paper.