Multi-objective optimization dispatch of PV-MG considering demand response actions

On the background of constructing the smart energy city, solar photovoltaic based microgrid (PV-MG) will play an important role. In this paper, a typical structure of PV-MG, which is consisted of PV power generation system, battery energy storage system (BESS), fixed loads (FLs), and transferable loads (TLs), is constructed firstly. Then in order to improve the economy of PV-MG's operation, the influence of the demand response (DR) is studied during dealing with the optimization dispatch problem of PV-MG, and a multi-objective optimization model with various equality and inequality constraints, which objectives are minimization of the total cost of PV-MG's operation and energy circulation of BESS, is proposed. Focusing on the characteristics of the optimization model, such as multi-objective, multi-constraint, and nonlinearity, a solving strategy based on non-dominated sorting genetic algorithm-II (NSGA-II) is presented also. Finally, case study is performed in MATLAB, and several Pareto solution sets are obtained. By analyzing the typical dispatch schemes, the rationality and effectiveness of the established optimization model are verified.