Research On Incremental Distribution Network Planning Method Considering Multi-Agent Game In Uncertain Environment

In recent years,a new round of policies related to the reform of the power system has been introduced.Incremental distribution investment business is gradually being opened to social capital and eligible market participants,which will diversify the main body of distribution network planning.The construction and planning of distribution network will no longer be solely responsible by grid enterprises,but by the joint responsibility of multiple investors.In this situation,on the one hand,the access of a large number of distributed generations,represented by the investment operators of distributed generations,bring more uncertainties into the incremental distribution network.On the other hand,the economic selection of the objective function and the determination of the constraints of distribution network planning should reflect the interests of the investors,which puts forward higher requirements for the coordination of distribution network planning.How to plan the incremental distribution network more reasonably under the current opportunities and challenges has become an urgent problem for experts in the same industry all over the world.Based on uncertainty analysis and game theory,and combining them,this paper focuses on the incremental distribution network planning method considering both uncertainty and multi-agent game.1)The uncertainties in incremental distribution network planning are analyzed in the framework of game theory.On the one hand,from the uncertainty of distributed generation,the uncertainty of wind power output is emphatically analyzed,and robust optimization is used to deal with the uncertainty of wind power output.On the basis of this,game theory is integrated to treat the above-mentioned robust optimization problem from the perspective of game theory,which is transformed into a kind of game problem.On the other hand,from the uncertainty of market participants,a matching model is constructed.The incomplete information game model is combined with this characteristic,and Harsanyi transformation is introduced to deal with it.The Bayesian equilibrium condition under this model is analyzed.2)An incremental distribution network source-network-load collaborative planning method considering uncertainty and multi-agent game is proposed.Firstly,a decision-making model of DG investment operators,distribution network investment operators and power users as different stakeholders under distributed generation uncertainty is constructed.Then,the uncertainty of DG output is dealt by robust optimization,and the virtual subject "Nature",which represents the uncertainty,is introduced.On this basis,the above-mentioned subjects are taken as game participants,and a dynamic-static joint game planning model is proposed.Finally,the iterative search algorithm and the minimax method are used to solve the above model.3)An incremental distribution network planning method based on multilateral incomplete information game of source-network-load is proposed.Firstly,the expected return model of three kinds of game players including DG investment operators,distribution network investment operators and power users under the uncertainty of market participants is constructed.Then,the transfer relationship and game behavior of the above three kinds of market participants under the multilateral incomplete information game pattern are studied.On the basis of the above research,the increment of multilateral incomplete information game considering source-network-load is constructed.Finally,the Bayesian Nash equilibrium condition for this model is proposed and solved by using co-evolutionary algorithm.