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2021, 08, v.33 79-87
含分布式电源的主动配电网分层故障定位方法
基金项目(Foundation): 国网福建省电力有限公司科技资助项目(NDFW2020GJT040023); 国家自然科学基金青年基金资助项目(51907123)
邮箱(Email): willzsx@sjtu.edu.cn;
DOI: 10.19635/j.cnki.csu-epsa.000702
投稿时间: 2020-09-30
投稿日期(年): 2020
终审时间: 2020-10-06
终审日期(年): 2020
审稿周期(年): 1
发布时间: 2021-01-18
出版时间: 2021-01-18
网络发布时间: 2021-01-18
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摘要:

分布式电源的规模化接入给配电网安全稳定运行带来挑战,将导致故障电流的流向由单向流动变为双向流动,传统的单源辐射状配电网故障定位方法已不再适用。为此,提出一种含分布式电源的主动配电网分层定位方法。首先,建立了含分布式电源的主动配电网故障信息编码方式及开关函数。然后,通过分析故障位置对开关函数的影响机理,建立了基于端口定位及区段定位的分层故障定位模型。针对此模型,提出了基于改进遗传算法以及整数线性规划算法的混合求解策略。最后,在改进IEEE 33节点主动配电网上进行仿真。结果表明,所提分层故障定位模型及求解算法能够大幅降低变量搜索维度,加快求解速度,同时具有较高的准确性和容错性,验证了所提模型和算法的有效性和优越性。

Abstract:

The large-scale access of distributed generations(DGs)brings a challenge to the safe and stable operation ofdistribution network,which will cause the flow direction of fault current to change from one-way flow to two-way flow.As a result,the traditional fault location method for single-source radial distribution network is no longer applicable. Tosolve this problem,a hierarchical fault location method for the active distribution network with DGs is proposed in thispaper. First,the fault information coding mode and switching function of the active distribution network with DGs are es-tablished. Then,by analyzing the influence mechanism of fault location on the switching function,a hierarchical faultlocation model based on port and segment locations is established. For this model,a hybrid solving strategy based on im-proved genetic algorithm and integer linear programming algorithm is proposed. Finally,simulations are carried out onan improved IEEE 33-node active distribution network,and results show that the proposed hierarchical fault locationmodel and its solving algorithm can greatly reduce the variable search dimension,accelerate the solving speed,andhave high accuracy and fault tolerance at the same time,which verifies their effectiveness and superiority.

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基本信息:

DOI:10.19635/j.cnki.csu-epsa.000702

中图分类号:TM73

引用信息:

[1]李明阳,张沈习,程浩忠,等.含分布式电源的主动配电网分层故障定位方法[J].电力系统及其自动化学报,2021,33(08):79-87.DOI:10.19635/j.cnki.csu-epsa.000702.

基金信息:

国网福建省电力有限公司科技资助项目(NDFW2020GJT040023); 国家自然科学基金青年基金资助项目(51907123)

投稿时间:

2020-09-30

投稿日期(年):

2020

终审时间:

2020-10-06

终审日期(年):

2020

审稿周期(年):

1

发布时间:

2021-01-18

出版时间:

2021-01-18

网络发布时间:

2021-01-18

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