Journal of System Simulation
Abstract
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.
Recommended Citation
Chen, Jianghong; Shi, Kanghao; Hu, Jiahui; and Zhao, Xiaohan
(2025)
"Economic Optimal Scheduling of Microgrid Considering Elastic Recovery,"
Journal of System Simulation: Vol. 37:
Iss.
3, Article 6.
DOI: 10.16182/j.issn1004731x.joss.23-1381
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss3/6
First Page
623
Last Page
634
CLC
TP319.9
Recommended Citation
Chen Jianghong, Shi Kanghao, Hu Jiahui, et al. Economic Optimal Scheduling of Microgrid Considering Elastic Recovery[J]. Journal of System Simulation, 2025, 37(3): 623-634.
DOI
10.16182/j.issn1004731x.joss.23-1381
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