现代信息科技2025，Vol.9Issue(5)：134-138,5.DOI:10.19850/j.cnki.2096-4706.2025.05.025
基于模拟退火粒子群算法的微电网优化调度
Optimal Scheduling of Microgrids Based on Simulated Annealing Particle Swarm Optimization Algorithm
摘要
Abstract
In the context of increasing global attention to environmental issues,microgrids containing renewable energy are favored as clean and sustainable energy solutions.In order to effectively utilize renewable energy and achieve a balance between economy and environmental protection,a multi-objective optimization model is proposed.Firstly,the linear weighting method is used to balance the economic and environmental objective functions of the microgrid system.Then,the Simulated Annealing Particle Swarm Optimization algorithm is introduced to solve the multi-objective optimization model,to achieve the goal of optimizing the economic and environmental objectives.The simulation results show that introducing Simulated Annealing Particle Swarm Optimization algorithm can effectively improve system performance when solving multi-objective optimization problems in microgrids,and makes the operation state of microgrids more economically efficient and environmentally friendly,thereby promoting the sustainable development of renewable energy microgrids.关键词
微电网/模拟退火粒子群算法/优化调度/多目标优化Key words
microgrid/Simulated Annealing Particle Swarm Optimization algorithm/optimal scheduling/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
梅雨..基于模拟退火粒子群算法的微电网优化调度[J].现代信息科技,2025,9(5):134-138,5.基金项目
贵州省教育厅高等学校科学研究项目(黔教技[2022]383号) （黔教技[2022]383号）
