Power utilization strategy in smart residential community using non-cooperative game considering customer satisfaction and interaction

Abstract The development of smart grids and photovoltaic (PV) generation has led to the popularization and access of distributed PV energy among residential communities. However, the interactions among residential customers significantly affect the power utilization strategy of PV consumption. To encourage customers to participate in PV consumption, this study proposes an optimal smart power utilization model by using a non-cooperative game for a residential community with distributed PV energy. First, a benefit maximization model for distributed PV energy is established to determine an optimal PV output. Second, according to the consumption habits and load curves of residential customers, a power utilization model of community customers is built considering electricity consumption satisfaction by performing clustering analysis. Finally, a non-cooperative game model is built for the PV power supplier and customers in the community. A Nash equilibrium point is also obtained based on the balance between the maximum benefit of PV power and the minimum electricity bills for customers. This approach is useful to encourage customers to consume PV energy in local areas. The case studies indicate that the proposed model can be applied to achieve the maximum benefit of PV power; furthermore, it allows customers to meet their own needs while reducing their electricity payments.