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基于重构有效性和最优网架选择的配电网动态重构研究 被引量:10

Research on Dynamic Reconfiguration of Distribution Network Based on Reconstruction Effectiveness and Optimal Network Selection
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摘要 针对可再生能源高渗透下日益突出的弃风/弃光问题,提出了一种提升配电网可再生分布式电源(RDG)接纳能力的动态重构策略。首先,根据预测的RDG无约束出力情况,以各单位时段内RDG发电量最大为目标进行静态重构,提取各时段的多个较优网架构成最优开关集合,以增大时段合并过程中的网架搜索空间。其次,根据平均RDG出力提升量提出了重构有效性的概念,并据此概念指导时段动态划分。同时,为了满足开关次数约束,在时段划分过程中进行了最优网架选择,并引入寻优方向自适应调整的改进细菌觅食算法(IBFA)进行求解。最后,采用修改的PG&E69节点系统验证了所提方法的有效性。 For the increasingly serious curtailment of wind and solar power under the high permeability of renewable energy,a dynamic reconfiguration strategy for improving the distribution network’s ability of accepting renewable distributed generation(RDG)is proposed.First,according to the predicted unconstrained output of RDG,static reconstruction is carried out with the goal of maximizing output of RDG in each unit time period,and multiple optimal network structures in each period are extracted to form an optimal switch set to expand the search space.Second,the concept of reconfiguration effectiveness is proposed based on the amount of increase in the average output of RDG,which guides the dynamic partition of time intervals.In addition,to satisfy the constraint of switching operation times,the selection of the optimal network structure is carried out during dynamic partition of time intervals,and the improved bacterial foraging algorithm based on adaptive adjustment of optimization direction is proposed to solve this problem.Finally,the effectiveness of the proposed method is verified by the modified PG&E69-bus system.
作者 李顺昕 张姚 岳云力 李赛 武冰清 曹昉 LI Shunxin;ZHANG Yao;YUE Yunli;LI Sai;WU Bingqing;CAO Fang(State Grid Jibei Electric Economic Research Institute,Beijing 100038,China;School of Electric and Electronic Engineering,North China Electric Power University,Beijing 102206,China)
出处 《电网与清洁能源》 2020年第7期30-37,共8页 Power System and Clean Energy
基金 国家自然科学基金(51207050) 国网冀北电力有限公司经济技术研究院(SGJBJY00GPJS1900042)。
关键词 可再生分布式电源 重构有效性 时段动态划分 改进细菌觅食算法 renewable distributed generation reconfiguration effectiveness dynamic partition of time intervals improved bacterial foraging algorithm
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