A new photovoltaic power joint optimization mech anism among multiusers in smart community is proposed. Firstly

based on the Internet of Things technology

a network architecture for smart community users to exchange energy information is given.Then

the photovoltaic power joint optimization method among multiusers is discussed and studied based on a single?user house hold energy optimal scheduling model. The objective function of joint optimization of multiuser photovoltaic power is proposed and solved with the method of Dijkstra algorithm and genetic algorithm.The simulation results verify the effectiveness of the proposed method. Through the joint optimal dispatch of photovoltaic poweramong multiusers in the community

the interaction between users can be realized

so as to reduce the electricity charges of the users in the family community as much as possible

and at the same time to absorb the excess photovoltaic power generation to the greatest extent

and reduce the impact on the grid.