Dynamic Optimal Scheduling of Microgrid Based on ε constraint multi-objective Biogeography-based Optimization Algorithm

Aiming at the important research topic of optimal scheduling in microgrid field, the model for multi-objective optimal dispatching of microgrid is established with the objective of minimum economic and environmental treatment costs. On this basis, the model is organically integrated with constraint handling technology, multi-objective optimization and biogeography-based optimization algorithm and then a constrained multi-objective evolutionary model for biogeography-based optimization is further established. The corresponding constraint handling mechanism, the determining strategy of habitat suitability index and migration strategy are improved, and the convergence performance and the distribution uniformity of Pareto frontier for multi-objective evolutionary algorithm are effectively enhanced. Applied to the optimal scheduling of typical microgrid systems, the effectiveness of the proposed model and method is verified.