基于ISSA的孤岛型微电网多目标优化调度研究  

Multi-objective optimal scheduling of islanded microgrids based on ISSA

作　　者：陈致远 曾国辉[1] 赵晋斌 CHEN Zhiyuan;ZENG Guohui;ZHAO Jinbin(School of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;School of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)

机构地区：[1]上海工程技术大学电子电气工程学院,上海201620 [2]上海电力大学电气工程学院,上海200090

出　　处：《智能计算机与应用》2024年第10期120-125,共6页Intelligent Computer and Applications

基　　金：国家自然科学基金(51777120)。

摘　　要：针对含光伏电池、风机、柴油发电机、微型燃气轮机、蓄电池的孤岛微电网经济性、稳定性、环保性协同优化问题,提出一种改进麻雀算法(Improved Sparrow Search Algorithm,ISSA)的孤岛微电网多目标调度模型。首先,构建孤岛微电网系统模型和系统约束条件;其次,将微电网运行成本和污染治理费用设为目标函数;同时,改进算法将动态发现者与自适应螺旋因子相结合,提高了原算法的寻优精度和收敛速度。算例结果验证了该孤岛微电网模型的可行性及改进算法的优越性、适用性。A multi-objective scheduling model of islanded microgrid with improved Sparrow Search Algorithm(ISSA)is proposed for the problem of co-optimization of economy,stability and environmental protection of islanded microgrid containing photovoltaic cells,wind turbines,diesel generators,micro gas turbines and batteries.Firstly,the islanded microgrid system model and system constraints are constructed;secondly,the microgrid operation cost and pollution control cost are set as the objective function;meanwhile,the improved algorithm combines the dynamic discoverer with the adaptive spiral factor,which improves the optimization finding accuracy and convergence speed of the original algorithm.The results verify the feasibility of the islanded microgrid model and the superiority and applicability of the improved algorithm.

关 键 词：孤岛微电网 优化调度 改进麻雀搜索算法 多目标优化问题 

分 类 号：TM315[电气工程—电机]