Incremental Distribution Network Source-load Collaborative Planning Method Considering Uncertainty and Multi-agent Game

How to obtain the optimal decision-making scheme based on the investment behavior of different stakeholders is an important issue that needs to be solved urgently when planning an incremental distribution network. To solve this problem, this paper introduced the virtual player "Nature" to realize the deep integration of game theory and robust optimization, and an incremental distribution network source-load collaborative planning method with uncertainties and multi-agent game was proposed. Firstly, the planning and decision-making models of the distributed generation (DG) investment operator, the grid investment operator and power users with different interests were constructed separately. Then, the static game behavior between the DG investment operator and the grid investment operator was analyzed based on the transfer relations between the three parties. At the same time, robust optimization was used to deal with the uncertainty of DG output, and the virtual player "Nature" was introduced to study the dynamic game behavior between it and the grid investment operator. On this basis, a dynamic-static joint game planning model was proposed. Finally, combination of iterative search algorithm and minimax method was used to solve the above model. The simulation results verify the correctness and effectiveness of the proposed method. © 2019 Chin. Soc. for Elec. Eng.