基于改进BES算法的光伏型电网分区故障定位研究  

Research on fault location of photovoltaic power grid partition based on improved BES algorithm

作　　者：张裕 罗晨 王斌 马春生 ZHANG Yu;LUO Chen;WANG Bin;MA Chunsheng(Power Grid Planning Research Center,Guizhou Power Grid Co.,Ltd.,Guiyang 550003,Guizhou,China;School of Energy and Electrical Engineering,Hohai University,Nanjing 210024,Jiangsu,China)

机构地区：[1]贵州电网有限责任公司电网规划研究中心,贵州贵阳550003 [2]河海大学能源与电气学院,江苏南京210024

出　　处：《中国工程机械学报》2024年第1期128-131,136,共5页Chinese Journal of Construction Machinery

基　　金：国网贵州省电力有限公司资助项目(GZKJXM20220035)。

摘　　要：为了进一步应对光伏型电网突发的情况,设计了一种基于改进秃鹰搜索算法(IBES)光伏型电网分区故障定位方法。在Sinusoidal映射的基础上形成高品质的初始秃鹰种群,在秃鹰搜索算法(BES)中引进非变异算子、交叉算子等,不断提高算法搜索能力,此模型的可靠性及有效性得到验证。研究结果表明:相较于鲸鱼算法(WOA)、果蝇算法(FFA)、正弦与余弦算法(SCA),IBES算法既确保了收敛速率,又保证了定位准确性,IBES的显著优势得到验证。分区方式可大幅度减少定位维度,使得求解速率及精度大幅度提高。相比BES模型,求解精度提高1.72%,速率提高30.5%。IBES模型在定位故障区段方面具有更快的速率及更高的准确性。该研究可以拓宽到齿轮箱故障诊断、管道泄漏位置定位等相关的机械控制领域,具有较好的推广价值。In order to further improve photovoltaic power grid response to emergencies,a fault location method based on improved condor search algorithm(IBES)was designed.Forming high-quality initial vulture population on the basis of sinusoidal mapping;The reliability and validity of the model are verified by introducing non-mutation operators and crossover operators into the condor search algorithm.The results show that compared with WOA,FFA and SCA,IBES algorithm can ensure both the convergence rate and positioning accuracy,and the significant advantages of IBES algorithm are verified.The partition method can greatly reduce the localization dimension and greatly improve the solving speed and accuracy.Compared with the BES model,the accuracy of the solution is increased by 1.72%and the speed is increased by 30.5%.IBES model has faster speed and higher accuracy in locating fault areas.This research can be extended to gear box fault diagnosis,pipeline leakage location and other related mechanical control fields,which has a good popularization value.

关 键 词：分布式电源 故障定位 改进秃鹰搜索算法 分区模型 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]