Microgrid Energy Management Based on Hierarchical Multi-Objective Optimization Algorithm

doi:10.3969/j.issn.1000－7229.2018.04.011

Abstract

Abstract: ABSTRACT： In order to optimize the cost reduction, environmental cost and electrical load curve during microgrid operation, a hierarchical multi-objective optimization method, which can comprehensively considers the requirements of multifaceted targets in the process of microgrid scheduling, is introduced combined with NSGA-II multi-objective algorithm based on the Pareto theory. The global optimization ability of the algorithm is guaranteed by using the process of multilayer cycle optimization. Therefore, it is more suitable for solving the optimization problem of both power supply and demand of microgrid. The convergence rate of the algorithm is improved by assimilation process. Meanwhile, the isolation cross mutation is used to improve the Pareto optimal front of the algorithm, which can effectively improve the optimization ability of the algorithm. Finally, the effectiveness of this algorithm is verified by an example.

Key words:

KEYWORDS： microgrid, energy management, multi-objective algorithm, load scheduling

CLC Number:

LI Liming, LI Zheng. Microgrid Energy Management Based on Hierarchical Multi-Objective Optimization Algorithm[J]. Electric Power Construction, 2018, 39(4): 75-.

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