Abstract: The sale of surplus power in distributed photovoltaic power generation system plays a good complementary role in optimizing power supply and demand and ensuring the stability of power grid. For studying the internal dynamic pricing mechanism of photovoltaic power generation group in distributed power generation system, based on the analysis of system engineering methodology and the system decision method, an internal dynamic pricing game decision method in distributed photovoltaic user group is proposed from the perspective of system management. By introducing a penalty function, a distributed algorithm is designed to solve the game model. Finally the system simulation and sensitivity analysis is carried out. The simulation results show that the network space distance, resource constraints and user preference of distributed power generation system will directly affect the decision result of internal pricing of photovoltaic user group. At the same time, the production capacity of photovoltaic users and the buyback price of main power network are the sensitive factors that affect the direct dynamic pricing of photovoltaic users. The research results enrich the scope of pricing mechanism in power system, especially distributed power system, and provide feasible exploration and guidance for the grid connection of renewable energy.

Key words: systems engineering methodology, distributed power generation, dynamic pricing, game, distributed algorithm