Optimal dynamic dispatch of pareto frontier for microgrid based on MOIBBO algorithm

A dynamic multi-objective optimal dispatch model is established with considering both the economic and environmental costs in this paper, of which the dynamic constraints are power balance, load interruption rate, charge and discharge of energy storage and power output restriction of the internal micro-sources. Then, A multi-objective improved biogeography-based optimization (MOIBBO) algorithm is used to solve the proposed model, where the individual fitness is based on “distance evaluation”, and the “congestion mechanism” is used to deal with the capacity overflow of the Pareto optimal solution in order to maintain the diversity and uniformity of Pareto optimal frontier (POF) distribution. Moreover, a technique of the initial point guidance is implemented in the algorithm to widen the POF, and the optimal compromise solution is determined by applying the fuzzy theory. Example simulation results verify the model rationality and present that the mentioned MOIBBO algorithm can obtain a POF with good distribution characteristics.