With the rapid development of photovoltaic power generation technology, the users of photovoltaic power generation system in China are increasing year by year. It is of great significance for studying the dynamic economic optimization and scheduling problem of household photovoltaic system. Taking the maximization of user income as the objective function, the proportion of the network users and the proportion of electricity purchase were set as decision variables. The economic benefit scheduling model of the generation system was determined by net income of the photovoltaic power generation system, the electricity purchase expenditure, the government subsidy, photovoltaic array and the battery system maintenance expenditure. In the MATLAB simulation environ- ment, taking the operation and scheduling of a home photovoltaic power system in 24 hours as an example, this study selected several electricity purchase price mechanisms currently implemented in the market, and the parti- cle swarm optimization algorithm was used to optimize the established model. The optimal revenue obtained from the basic electricity price mechanism and the different load conditions were compared respectively. Finally, it provided the best scheduling strategy for the dispatcher.