An optimal scheduling model of a microgrid using metaheuristic algorithms with consideration of power flow constraints

With constructions of demonstrative microgrids, the realistic optimal economic dispatch and energy management system are required eagerly. However, most current works usually give some simplifications on the modeling of microgrids. In this paper, we present an optimal day-ahead scheduling model for a microgrid system with photovoltaic cells, wind turbine units, diesel generators and battery storage systems. The power flow constraints are introduced into the scheduling model in order to show some necessary properties in low voltage distribution network of microgrids. Besides a new hybrid harmony search algorithm with differential evolution approach, and other metaheuristic algorithms to the optimization problem is proposed. Some improvements have been integrated into the new proposed algorithm in order to obtain the competitive results efficiently. The numerical results based on IEEE ۹-bus test system show the effectiveness and validity of the new proposed model and algorithm.

Keywords:

: microgrid , day-ahead scheduling , power flow , harmony search algorithm