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

作　　者：梅雨 MEI Yu(School of Computer and Information,Qiannan Normal University for Nationalities,Duyun 558000,China)

机构地区：[1]黔南民族师范学院计算机与信息学院,贵州都匀558000

出　　处：《现代信息科技》2025年第5期134-138,共5页Modern Information Technology

基　　金：贵州省教育厅高等学校科学研究项目(黔教技〔2022〕383号)。

摘　　要：在全球对环境问题日益关注的背景下,包含可再生能源的微电网作为清洁且可持续的能源方案备受青睐。为了有效利用可再生能源,并在经济和环保之间取得平衡,提出了基于多目标的优化模型。首先,运用线性加权法平衡微电网系统的经济性和环保性两个目标函数,然后引入了模拟退火粒子群优化算法用于求解多目标优化模型,以达到优化经济和环保目标的目的。仿真结果表明,在解决微电网多目标优化问题时,引入模拟退火粒子群优化算法能够有效提升系统性能,使得微电网的运行状态更倾向于经济高效和环保友好,从而推动了可再生能源微电网的可持续发展。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 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]