A Game-Theoretic Model for ADN Hierarchical Planning Considering Multi-interests Coordination of “Source-Network-Load”

This paper presents an hierarchical planning model for Active Distribution Network (ADN) based on game theory, considering the coordination multi-agent interest in “source-network-load”. The upper layer of the model considers the decisions of each agents of “Source-Network-Load” (S-N-L), aiming at achieving the equilibrium in the game mode for each interest body. The lower layer considers the active management strategies such as the adjustment of Distributed generation (DG) reduction and On-load Tap Changer (OLTC), aiming at minimizing the expected value of annual load cutting of DG. The iterative search algorithm is used to search the multi-agent equilibrium solution in the upper layer, and the improved particle swarm optimization algorithm is applied in all the decision optimization process of the model. The simulation analysis of the improved IEEE 33-node example showed the feasibility of the model and that the difference of the action order of the game at has an impact on the game process and results which can give suggestions for the ADN planning problem of multi-interests coordination in the open environment of electricity market.