In order to deal with the problem of multi-level coordinated operation of distribution network with high penetration of renewable energy

a fuzzy chance constrained source-grid-load coordinated optimal operation method is proposed based on the multi-agent system and multi-level electricity price response mechanism. According to the operating characteristics of distributed generators

active loads and microgrids

this paper analyzes the existing problems in the coordinated source-grid-load operation of distribution networks with high penetration of renewable energy. The coordinated optimization architecture is designed based on the multi-agent system and multi-level electricity price response mechanism. Considering the uncertain factors of renewable energy and active loads

and the risk difference of multi-agents

the coordinated interaction between the active distribution network and the source

load

and microgrid is described by the method of fuzzy chance constrained programming. The optimization models at the distribution network layer

directly coordinated source-load layer and indirectly coordinated microgrid layer are developed. The neuronal network and the equivalence class transformation are introduced to deal with the uncertain factors in the stochastic programming model. The bat algorithm and golden section method are used to solve the problem. Finally

the simulation results show the effectiveness of the proposed method.