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1.综合能源电力装备及系统安全湖北省重点实验室,湖北省武汉市 430072
2.武汉大学电气与自动化学院,湖北省武汉市 430072
3.国网冀北电力有限公司,北京市 100054
Received:04 April 2023,
Revised:2023-07-25,
Published Online:04 September 2023,
Published:10 October 2023
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WANG Erwei,QIN Liang,HUANGFU Cheng,et al.Three-phase Unbalance Adjustment Method for Distribution Station Areas Based on Spatial Distribution and Time-series Characteristics[J].Automation of Electric Power Systems,2023,47(19):97-105.
王二威,秦亮,皇甫成等.基于空间分布和时序特征的配电网台区三相不平衡调整方法[J].电力系统自动化,2023,47(19):97-105. DOI: 10.7500/AEPS20230404001.
WANG Erwei,QIN Liang,HUANGFU Cheng,et al.Three-phase Unbalance Adjustment Method for Distribution Station Areas Based on Spatial Distribution and Time-series Characteristics[J].Automation of Electric Power Systems,2023,47(19):97-105. DOI: 10.7500/AEPS20230404001.
低压配电网存在大量时空分布不平衡、特性各异的单相源荷,导致三相不平衡问题突出,且传统的三相不平衡治理仅关注变压器关口的负荷平衡,忽视了配电网主要馈线的平衡状态,配电网内部的三相不平衡治理成效不佳。为此,提出一种考虑单相源荷电量时序特征和空间分布的配电网台区相序调整方法。首先,对配电网进行治理节点区域划分得到节点网络图,并提出从台区末端节点由后往前逐级进行叠加治理的三相不平衡调整方案。接着,采用模糊C均值聚类算法(FCM)对各个节点区域进行电量时序特征提取与负荷分类
建立基于典型负荷的三相不平衡优化模型。然后,针对此优化模型仅关注三相功率大小的平衡关系,提出一种改进文化基因算法对模型求解。最后,在MATLAB中建立仿真验证模型。结果表明,所提方法有效降低了配电变压器关口和主要馈线的三相不平衡度。
The low-voltage distribution network has a large number of single-phase sources and loads with unbalanced spatiotemporal distribution and different characteristics
leading to a prominent three-phase imbalance problem. Moreover
the traditional three-phase imbalance treatment only focuses on the load balance at the transformer gateway
ignoring the balance state of the main feeders of the distribution network
and the three-phase imbalance treatment in the distribution network is not effective. Therefore
a phase sequence adjustment method for the distribution station area is proposed considering the time-series characteristics and spatial distribution of electric quantity of single-phase sources and loads. First
the distribution network is divided into node regions to obtain a node network diagram
and a three-phase unbalance adjustment scheme is proposed
which is superimposed step by step from the end nodes of the station area. Secondly
the fuzzy C-means clustering algorithm (FCM) is used to extract the time-series characteristics of electric quantity and load classification for each node region
and a three-phase unbalanced optimization model based on typical load is established. Then
an improved memetic algorithm is proposed to solve the model
which only focuses on the balance relationship of three-phase power. Finally
the simulation verification model is established in MATLAB. The results show that the proposed method can effectively reduce the three-phase unbalance of distribution transformer gateways and main feeders.
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