王之凯, 赵健, 徐斌, 徐港军. 考虑负荷时段特性的双环网动态重组优化[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0466
引用本文: 王之凯, 赵健, 徐斌, 徐港军. 考虑负荷时段特性的双环网动态重组优化[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0466
WANG Zhikai, ZHAO Jian, XU Bin, XU Gangjun. Dynamic Reorganization and Optimization of Double Loop Network Considering the Characteristics of Load Period[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0466
Citation: WANG Zhikai, ZHAO Jian, XU Bin, XU Gangjun. Dynamic Reorganization and Optimization of Double Loop Network Considering the Characteristics of Load Period[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0466

考虑负荷时段特性的双环网动态重组优化

Dynamic Reorganization and Optimization of Double Loop Network Considering the Characteristics of Load Period

  • 摘要: 针对城市电缆双环网中网损较大、电压偏移量高、负荷分布不均衡等问题,提出一种考虑负荷时段特性的双环网动态重组方法。首先,根据电缆双环网结构构建主干环网层和支线网络层双层拓扑模型。其次,提出基于功率矩的重组次数确定方法,根据功率矩不平衡度变化情况确定双环网重组次数,并提出改进的双截断高斯混合分布模型对日负荷进行时段划分,采用周期距离代替传统模型中的欧氏距离,提高了模型时段划分准确率。再次,以网络损失最小、电压偏移量最低、负荷均衡度最高为指标构建负荷重组优化模型,在主干环网层和支线网络层利用二进制粒子群算法分别求解母线负荷重组方案和支线负荷重组方案。最后,在华东某城市电缆双环网中进行算例分析,验证模型的有效性和实用性。

     

    Abstract: Aiming at the problems of large network loss, high voltage offset and unbalanced load distribution in urban cable double loop network, a dynamic recombination method of double loop network considering the characteristics of load period is proposed. Firstly, a double layer topology model of trunk loop network layer and branch network layer is constructed according to the cable double loop network structure. Second, the restructuring of moment is presented based on the power, and a method for determining the number according to the imbalance of power moment degree determine daily load restructuring changes, and puts forward the improved double truncated gaussian mixture distribution model of daily load time, the periodic distance instead of traditional model of Euclidean distance, improved the model of time division accuracy. Thirdly, the load recombination optimization model was constructed with the minimum network loss, the lowest voltage offset and the highest load balance as the indexes, and the bus load recombination scheme and branch load recombination scheme were solved respectively by using binary particle swarm optimization algorithm at the trunk ring network layer and branch network layer. Finally, the effectiveness and practicability of the model are verified by an example in a city cable double loop network in east China.

     

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