电力需求侧管理2026，Vol.28Issue(3)：59-65,7.DOI:10.3969/j.issn.1009-1831.2026.03.009
基于模拟退火蜻蜓算法的微电网群优化调度研究
Research on optimization scheduling of microgrid cluster based on simulated annealing dragonfly algorithm
摘要
Abstract
As a crucial platform for integrating distributed renewable energy,the efficient and optimal scheduling of microgrid clusters is key to enhancing the economic efficiency and reliability of regional power supply.Addressing the high-dimensional,non-convex,and multi-constraint nature of the scheduling model,alongside the tendency of traditional optimization algorithms to trap in local optima,a collabora-tive optimization scheduling method for microgrid clusters based on an improved simulated annealing dragonfly algorithm(SADA)is pro-posed.First,a scheduling optimization model is established with the objective of minimizing the combined operational and environmental costs.Then,the logistic chaos mapping is employed to enhance initial population diversity,the nonlinear adaptive inertia weights are intro-duced to balance global and local search capabilities,and a simulated annealing mechanism is embedded to improve the ability to escape lo-cal optima by leveraging its probabilistic jump property.Finally,compared with other benchmark algorithms,the proposed SADA achieves reductions in total cost by 7.33%,5.09%,and 4.24%,respectively,effectively validating its effectiveness and superiority in complex energy scheduling scenarios.关键词
微电网群/模拟退火/蜻蜓算法/优化调度Key words
microgrid cluster/simulated annealing/dragonfly algorithm/optimized scheduling分类
信息技术与安全科学引用本文复制引用
马琎劼,殷鸣,焦系泽,徐述,张航通..基于模拟退火蜻蜓算法的微电网群优化调度研究[J].电力需求侧管理,2026,28(3):59-65,7.基金项目
国网江苏省电力有限公司科技项目(J2024164) （J2024164）
