Journal of System Simulation ›› 2025, Vol. 37 ›› Issue (3): 623-634.doi: 10.16182/j.issn1004731x.joss.23-1381

• Papers • Previous Articles    

Economic Optimal Scheduling of Microgrid Considering Elastic Recovery

Chen Jianghong, Shi Kanghao, Hu Jiahui, Zhao Xiaohan   

  1. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
  • Received:2023-11-15 Revised:2024-01-18 Online:2025-03-17 Published:2025-03-21

Abstract:

To enhance the ability of microgrids (MGs) to withstand extreme disaster events, this paper proposes a multi-objective scheduling model considering resilience restoration and economic performance, based on the traditional concepts of power system resilience and reliability. Resilience is specifically quantified. The model integrates energy storage into the objective function and includes reliability indicators as constraints, building on traditional microgrid economic dispatch. The optimization problem is solved using an improved white shark optimizer (WSO) and multi-objective fuzzy programming, where different weights are assigned to each objective function, and the optimal weights are determined through case studies. A microgrid scheduling scheme with both economic performance and resilience is obtained. Simulation results demonstrate that this method can allocate appropriate weight coefficients according to various grid responsibilities, achieving a grid system with both resilience and economic performance.

Key words: microgrid, elastic, reliability, fuzzy programming, white shark optimizer

CLC Number: