[1]张荣升,刘丽桑,徐辉,等.改进蝠鲼觅食优化算法的配电网故障定位[J].福建工程学院学报,2022,20(03):267-274.[doi:10.3969/j.issn.1672-4348.2022.03.011]
　ZHANG Rongsheng,LIU Lisang,XU Hui,et al.Distribution network fault location based on improved manta ray 〖JZ〗foraging optimization algorithm[J].Journal of FuJian University of Technology,2022,20(03):267-274.[doi:10.3969/j.issn.1672-4348.2022.03.011]
点击复制

改进蝠鲼觅食优化算法的配电网故障定位()
分享到：

《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第20卷
期数:
2022年03期
页码:
267-274
栏目:
出版日期:
2022-06-25

文章信息/Info

Title:
Distribution network fault location based on improved manta ray 〖JZ〗foraging optimization algorithm
作者:
张荣升; 刘丽桑; 徐辉; 柯程扬
福建工程学院电子电气与物理学院
Author(s):
ZHANG Rongsheng;  LIU Lisang;  XU Hui;  KE Chengyang
School of Electronic,Electrical Engineering and Physics, Fujian University of Technology
关键词:
配电网; 故障定位; 蝠鲼觅食优化算法; Limit阈值; 交流反馈机制
Keywords:
distribution network;  fault location;  manta ray foraging optimization algorithm;  Limit threshold;  communication feedback mechanism
分类号:
TM7
DOI:
10.3969/j.issn.1672-4348.2022.03.011
文献标志码:
A
摘要:
复杂的配电网系统中，蝠鲼觅食优化算法存在后期搜索能力不足导致故障定位准确率下降的缺点。针对该问题，提出了一种基于阈值反馈蝠鲼觅食优化算法的多电源配电网故障定位方法。在确立适用于复杂多电源网络的故障定位数学模型的基础上，采用Limit阈值控制算法求得极值时的迭代次数；在算法位置更新阶段引入交流反馈机制，加快算法收敛速率；利用Sigmoid函数对算法进行二进制离散化，输出故障向量完成故障定位。在Matlab中建立故障定位仿真模型，对多种算法开展对比实验。结果表明，不同故障情况下，改进的配电网故障定位算法的定位速度与准确度均优于其他算法。
Abstract:
In response to the shortcomings of manta ray for aging optimization(MRFO) algorithm in complex distribution network systems, which leads to the decrease of fault location accuracy due to insufficient search capability in the later stage, a multi-source distribution network fault location method based on threshold feedback manta ray foraging optimization(TFMRFO) algorithm was proposed. First, a fault location mathematical model applicable to multi-source complex networks was established. Second, the number of iterations was obtained by using the Limit threshold control algorithm. Meanwhile, the feedback mechanism of information exchange was introduced at the late stage of algorithm location update to accelerate the convergence rate of the algorithm. Finally, the Sigmoid function was used to improve the binary discretization of the algorithm and output the fault vector to complete the fault location. A simulation model of fault location was established using Matlab and compared with various algorithms. Results show that the improved distribution network fault location method has better speed and accuracy in locating faults under different fault situations.

参考文献/References:

[1] 程梦竹, 张新慧, 徐铭铭, 等. 基于多目标加权灰靶决策的有源配电网故障区段定位方法[J]. 电力系统保护与控制, 2021, 49（11）: 124-132.[2] 高锋阳, 李昭君, 袁成, 等. 量子计算和免疫优化算法相结合的有源配电网故障定位[J]. 高电压技术, 2021, 47（2）: 396-406.[3] 张荣升, 刘丽桑, 宋天文, 等. 基于鲸鱼优化算法的配电网故障区段定位[J]. 福建工程学院学报, 2021, 19（4）: 378-384.[4] 凤盛强. 基于蝠鲼觅食优化算法的配电网故障区间定位[J]. 兰州文理学院学报（自然科学版）, 2021, 35（1）: 19-23.[5] 李霆, 方志坚, 罗义旺, 等. 基于改进蚁群算法的配电网故障定位研究[J]. 微型电脑应用, 2020, 36（9）: 86-88.[6] 张波, 唐亮, 梁晓伟, 等. 基于遗传粒子群法的配电网故障定位研究[J]. 计算技术与自动化, 2021, 40（1）: 33-37.[7] 郑涛, 马龙, 李博文. 基于馈线终端装置信息畸变校正的有源配电网故障区段定位[J]. 电网技术, 2021, 45（10）: 3926-3935.[8] 卫志农, 何桦, 郑玉平. 配电网故障区间定位的高级遗传算法[J]. 中国电机工程学报, 2002, 22（4）: 127-130.[9] 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（8）: 79-87.[10] 赵乔, 王增平, 董文娜, 等. 基于免疫二进制粒子群优化算法的配电网故障定位方法研究[J]. 电力系统保护与控制, 2020, 48（20）: 83-89.[11] ZHAO W G, ZHANG Z X, WANG L Y. Manta ray foraging optimization: an effective bio-inspired optimizer for engineering applications[J]. Engineering Applications of Artificial Intelligence, 2020, 87: 103300. [12] 高文欣,刘升,肖子雅,等.全局优化的蝴蝶优化算法[J].计算机应用研究,2020,37(10):2966-2970. [13] 涂春梅, 陈国彬, 刘超. 混沌反馈自适应鲸鱼优化算法研究[J]. 统计与决策, 2019, 35（7）: 17-20.[14] 马天祥, 王春英, 贾静然, 等. 基于二进制粒子群算法的交直流混合配电网故障恢复方法[J]. 电力系统保护与控制, 2019, 47（9）: 112-119.

相似文献/References:

[1]方卫东.含公布电源配电网可靠性的评估方案研究[J].福建工程学院学报,2016,14(03):262.[doi:10.3969/j.issn.1672-4348.2016.03.011]
　Fang Weidong.A study of reliability assessment schemes of distribution network with DGs[J].Journal of FuJian University of Technology,2016,14(03):262.[doi:10.3969/j.issn.1672-4348.2016.03.011]
[2]张荣升、刘丽桑、邓慧琼、李培强、郑荣进.基于鲸鱼优化算法的配电网故障区段定位[J].福建工程学院学报,2021,19(04):378.[doi:10.3969/j.issn.1672-4348.2021.04.012]
　ZHANG Rongsheng,LIU Lisang,SONG Tianwen,et al.Fault localization of distribution network based on whale optimization algorithm[J].Journal of FuJian University of Technology,2021,19(03):378.[doi:10.3969/j.issn.1672-4348.2021.04.012]

更新日期/Last Update: 2022-06-25