基于非合作博弈的独立售电公司最优规划方法

Optimal planning method of independent electricity retail company based on non-cooperative game

随着电力体制改革持续推进,电力市场进一步开放,新增售电主体接入配电网,在丰富配电侧可调配资源的同时增大了规划难度。为了指导独立售电公司合理参与配电网建设,形成良好的市场环境,提出一种基于非合作博弈的最优规划方法,以确定售电公司发电设备的投资方案。首先,提出独立售电公司综合运营策略及模型;然后,基于完全信息非合作静态博弈,以独立售电公司的综合收益作为各主体的优化目标,建立非合作博弈模型;最后,研究非合作静态博弈流程,为了求解复杂的混合整数非线性模型,采用二阶锥松弛方法将模型转化为混合整数二阶锥规划问题,提出基于数学优化的迭代搜索算法用以求解所提模型的Nash均衡解。以IEEE 33节点系统为例,仿真结果表明了所提模型的合理性与算法的有效性。

With the continuous electric power system reform and the further opening up of electricity market,the newly added electricity sellers are connected to distribution network,which enrich the allocatable resources in the distribution side while increasing the planning difficulty. In order to guide the IERCs(Independent Electricity Retail Companies) to participate in the distribution network construction reasonably and form a good market environment,an optimal planning method based on non-cooperative game is proposed to determine the investment plan of power generation equipment of IERCs. Firstly,the comprehensive operation strategy and model of IERC are proposed. Then,based on the complete information non-cooperative static game,the non-cooperative game model is established by taking the comprehensive income of IERC as the optimization objective of each subject. Finally,the non-cooperative static game process is studied. In order to solve the complex mixed integer non-linear model,the second-order cone relaxation is used to transform the model into a mixed integer second-order cone programming problem,and an iterative search algorithm based on mathematical optimization is proposed to solve the Nash equilibrium solution of the model. Taking IEEE 33-bus system as an example,simulative results verify the rationality of the proposed model and the effectiveness of the algorithm.