| 基于改进哈里斯鹰优化算法的有源配电网故障定位 |
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| 引用本文： | 麦章渠,曾颖,张禄亮,李晨涛,季天瑶,尚筱雅.基于改进哈里斯鹰优化算法的有源配电网故障定位[J].陕西电力,2022,0(11):104-111. |
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| 作者姓名： | 麦章渠 曾颖 张禄亮 李晨涛 季天瑶 尚筱雅 |
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| 作者单位： | （1.华南理工大学电力学院，广东广州 510640；2.广州航海学院船舶与海洋工程学院，广东广州 510725） |
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| 摘 要： | 针对改进的遗传算法、二进制粒子群算法等智能优化算法在复杂的有源配电网中故障定位的准确率不高、易于陷入局部最优、收敛速度慢以及定位时间长等问题，提出一种基于改进哈里斯鹰优化算法的有源配电网故障区段定位方法。首先，通过Tent混沌映射改善初始种群和将逃逸能量非线性化，以加快哈里斯鹰优化算法的收敛速度。其次，通过结合黄金正弦算法跳出局部最优。最后，所提方法在IEEE33节点有源配电网模型上进行了仿真测试验证，表明改进后的哈里斯鹰优化算法能很大程度地加快收敛速率，故障定位方法具有很高的容错率。
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| 关 键 词： | 有源配电网 故障定位 哈里斯鹰优化算法 信息畸变 |
Fault Location of Active Distribution Network Based on Improved Harris Hawks Optimization Algorithm |
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| MAI Zhangqu,ZENG Ying,ZHANG Luliang,LI Chentao,JI Tianyao,SHANG Xiaoya.Fault Location of Active Distribution Network Based on Improved Harris Hawks Optimization Algorithm[J].Shanxi Electric Power,2022,0(11):104-111. |
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| Authors: | MAI Zhangqu ZENG Ying ZHANG Luliang LI Chentao JI Tianyao SHANG Xiaoya |
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| Affiliation: | （1. School of Electric Power， South China University of Technology， Guangzhou 510640， China； 2. School of Naval Architecture and Ocean Engineering， Guangzhou Maritime University， Guangzhou 510725， China） |
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| Abstract: | To address the problems that the improved genetic algorithm，binary particle swarm algorithm and other intelligent optimization algorithms have low accuracy， easy to fall into local optimum， slow convergence speed and long localization time for fault location in complex active distribution networks， a fault section location method for active distribution networks based on the improved Harris hawk optimization algorithm is proposed. Firstly， the initial population is improved and the escape energy is nonlinearized by Tent chaotic mapping to accelerate the convergence speed of Harris hawk optimization algorithm. Secondly， the local optimum is jumped out by combining the golden sine algorithm. Finally， the proposed method is validated by simulation tests in an IEEE 33-node active distribution network model. The results show that the improved Harris Hawk optimization algorithm can largely accelerate the convergence rate， and the proposed fault location method has high fault tolerance rate. |
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| Keywords: | active distribution network fault location Harris hawk optimization algorithm information distortion |
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