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基于麻雀搜索算法的区域微电网多目标协同优化调度 被引量:2

Sparrow Search Algorithm-based Multi-objective Collaborative Optimized Scheduling of Regional Microgrids
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摘要 当前的区域微电网多目标协同优化调度矩阵一般为单向的处理形式,虽然能够实现简单的调度优化目标,但是对于调度范围存在一定的限制,导致交互功率降低,为此提出对基于麻雀搜索算法的区域微电网多目标协同优化调度方法的设计与验证分析。根据实际优化调度需求及标准的变化,先进行约束条件的设置,同时测算出对应的目标函数。采用多阶的模式,扩大实际的调度范围,并设计多阶并网协同运行调度矩阵,以此为基础,构建麻雀搜索算法下微电网协同优化调度模型,并采用横纵交叉的处理方式实现优化调度。经过6:00、12:00、18:00以及24:004个时刻的调度研究,在麻雀搜索算法的辅助下,优化完成之后,微电网的交互功率逐渐保持平稳,并未出现较为明显的波动,交互功率基本控制在70 kW以下,说明此种调度优化方式的针对性较强,调度的效率较高,可以确保微电网在运行的过程中保持平稳,具有实际的应用价值。 The current multi-objective collaborative optimization scheduling matrixes for regional microgrids generally adopt a unidirectional processing form which,though can achieve simple scheduling optimization goals,is to some extent inferior in scheduling scope,resulting in a decrease in interactive power.Therefore this paper proposes the design and validation analysis of a multi-objective collaborative optimization scheduling method for regional microgrids based on the sparrow search algorithm.According to actual optimization scheduling requirements and changes in standards,first the constraint conditions are determined and the corresponding objective functions are calculated.By adopting a multi-level mode,the expansion of actual scheduling range and the design of a multi-level collaborative scheduling matrix are realized and carried out,through which a microgrid collaborative optimization scheduling model under the sparrow search algorithm is constructed and the optimization scheduling is achieved using horizontal and vertical cross processing.The final test results show that after scheduling research at 6:00,12:00,18:00,and 24:00,with the assistance of sparrow search algorithm,the interaction power of microgrid gradually remains stably below 70 kW without significant fluctuations.This indicates that the proposed method has strong pertinence and high scheduling efficiency,and can ensure operational stability of microgrids.
作者 祝锦发 林建丰 黄思奇 季嘉辉 林培桂 ZHU Jinfa;LIN Jianfeng;HUANG Siqi;JI Jiahui;LIN Peigui(Shanwei Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Shanwei 516600,China)
出处 《电工技术》 2024年第2期112-114,117,共4页 Electric Engineering
关键词 麻雀搜索算法 区域微电网 多目标执行 协同优化 优化调度 电网控制 sparrow search algorithm regional microgrid multi-objective execution collaborative optimization optimized scheduling power grid control
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