Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration

Bo Li,Nan Xia,Jue Wang,Arkadiusz Zak

doi:10.1155/2020/7120352

Abstract

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

Highlights

Due to the global energy crisis and environmental pollution, the renewable clean energy such as solar and wind power has developed rapidly [1]
This paper proposes a new determination method of habitat suitability index HSI on the basis of the idea of ε constraint domination mentioned above
Determination Method of Migration Rate. e determination mechanism for the migration rate of the original biogeography-based optimization (BBO) does not apply to constrained multiobjective optimization problem (CMOP), which can only reflect the order of individuals but ignores the current evolutionary state

Summary

Introduction

Due to the global energy crisis and environmental pollution, the renewable clean energy such as solar and wind power has developed rapidly [1] Uncertain factors such as the intermittence and randomness of wind and light power output and the load fluctuation threaten the safe and stable operation of the power system [2, 3]. On account of the diversity of energy structure, distributed power types, and control methods in microgrid, the energy management and optimal operation of microgrid are of high complexity. In [10], a sustainable scheduling problem for household microgrids with unscheduled distributed energy and responsive load demand is studied and the energy management system optimization algorithm based on mixed-integer linear programming (MILP) is proposed. Most of the research on the optimal operation of microgrid system focuses on the optimization of the model and the improvement of scheduling

Methods

Results

Conclusion