Distribution network fault regionalized localization based on improved dung beetle optimization

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Wanyong Liang, Chenbo Zhai, Weifeng Cao, Yong Jiang, Yanzhao Si, Lintao Zhou
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引用次数: 0

Abstract

Aiming at the problems of accuracy degradation and slow convergence speed of traditional intelligent optimization algorithms in solving distribution network fault localization. A spiral search based multi-strategy dung beetle optimization (SMSDBO) algorithm is proposed for active distribution network fault localization. First, the hierarchical topology model of distribution network with fault tolerance is constructed, and all the segments and nodes of the distribution network are divided into different regions according to the principle of equivalence. Second, the population is initialized by logistic-Tent chaotic mapping to make the population distribution uniform, and an improved sinusoidal algorithm is added to balance the global and local search ability. Then, incorporating the spiral search strategy into the algorithm helps the algorithm to jump out of the local optimum at a later stage. Simulation experiments on distribution networks in MATLAB. Simulation results show that the combination of the SMSDBO algorithm and the hierarchical model has superior localization capabilities in single-fault, multi-fault, and information distortion fault localization. The accuracy and speed are better than the comparison algorithm and traditional model.

Abstract Image

基于改进型蜣螂优化的配电网故障区域化定位
针对传统智能优化算法在解决配电网故障定位时精度下降和收敛速度慢的问题。提出了一种基于螺旋搜索的多策略蜣螂优化算法(SMSDBO),用于主动配电网故障定位。首先,构建具有容错能力的配电网分层拓扑模型,并根据等价原则将配电网的所有网段和节点划分为不同的区域。其次,利用 logistic-Tent 混沌映射对种群进行初始化,使种群分布均匀,并加入改进的正弦算法,以平衡全局和局部搜索能力。然后,在算法中加入螺旋搜索策略,帮助算法在后期跳出局部最优。在 MATLAB 中对配电网络进行仿真实验。仿真结果表明,SMSDBO 算法与层次模型相结合,在单故障、多故障和信息失真故障定位方面都具有卓越的定位能力。其精度和速度均优于对比算法和传统模型。
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来源期刊
Electrical Engineering
Electrical Engineering 工程技术-工程:电子与电气
CiteScore
3.60
自引率
16.70%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal “Electrical Engineering” following the long tradition of Archiv für Elektrotechnik publishes original papers of archival value in electrical engineering with a strong focus on electric power systems, smart grid approaches to power transmission and distribution, power system planning, operation and control, electricity markets, renewable power generation, microgrids, power electronics, electrical machines and drives, electric vehicles, railway electrification systems and electric transportation infrastructures, energy storage in electric power systems and vehicles, high voltage engineering, electromagnetic transients in power networks, lightning protection, electrical safety, electrical insulation systems, apparatus, devices, and components. Manuscripts describing theoretical, computer application and experimental research results are welcomed. Electrical Engineering - Archiv für Elektrotechnik is published in agreement with Verband der Elektrotechnik Elektronik Informationstechnik eV (VDE).
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