|
[1] 詹惠瑜, 刘科研, 盛万兴, 等. 有源配电网故障诊断与定位方法综述及展望[J]. 高电压技术, 2023,
49(2):
660-671. DOI:10.13336/j.1003-6520.hve.20211604.
[2] WANG X W, ZHANG H X, SHI F, et al. Location of
single phase to ground faults in distribution networks based on synchronous
transients energy analysis[J]. IEEE Transactions on Smart Grid, 2020,
11(1): 774-785. DOI:10.1109/TSG.2019.2938667.
[3] 戴志辉, 王旭. 基于改进阻抗法的有源配电网故障测距算法[J]. 电网技术, 2017, 41(6): 2027-2034.
DOI:10.13335/j.1000-3673.pst.2016.2043.
[4] 彭浩,沈兴来,陈奎.电缆单端故障测距的阻抗-行波组合法[J].电力系统保护与控制,2016,44(23):110-114. DOI: 10.7667/PSPC152122.
[5] 柴鹏,周灏,张煜,等.基于双端行波法的电缆线路短路故障定位改进[J].中国电力,2020,53(11):168-174. DOI: 10.11930/j.issn.1004-9649.201901111.
[6] SUN G, MA W, WEI S Q, et al. A Fault Location
Method for Medium Voltage Distribution Network Based on Ground Fault Transfer
Device[J]. Electronics, 2023, 12(23): 4790. DOI: 10.3390/electronics12234790.
[7] 丁希鹏,蔺怡,于浩.基于改进HHT的电缆故障定位研究[J].机电信息,2022,(20):82-85. DOI: 10.19514/j.cnki.cn32-1628/tm.2022.20.021.
[8] 谢李为,柳祎璇,曾祥君,等.基于VMD和S变换的多端输电线路故障定位[J].电力系统及其自动化学报,2019,31(02):126-134. DOI: 10.3969/j.issn.1003-8930.2019.02.020.
[9] 徐先峰,马志雄,姚景杰,等.基于小波变换和GA-BP神经网络的电力电缆故障定位[J].电气工程学报,2024,19(02):146-155.DOI: 10.11985/2024.02.017.
[10] 蒋原,李擎,冯茜,等.基于BP神经网络的直流电网故障定位与保护方法[J].高压电器,2020,56(08):23-28. DOI: 10.13296/j.1001-1609.hva.2020.08.005.
[11] 滕志鹏,梁远升,曾德辉,等.基于卷积神经网络的高压输电线路故障定位时域法[J].广东电力,2021,34(06):1-9. DOI: 10.3969/j.issn.1007-290X.2021.006.001.
[12] 李瑞灵,高学军,王灿,等.基于小波熵特征融合和ISSA-BiTCN的直流输电故障定位[J].科学技术与工程,2024,24(26):11303-11313. DOI: 10.12404/j.issn.1671-1815.2400442.
[13] 熊芮,赵林军,张宇航.基于灰狼-粒子群算法的有源配电网故障定位[J/OL].电力系统及其自动化学报,1-10. DOI: 10.19635/j.cnki.csu-epsa.001501.
[14] 商立群,刘晗,郝天奇,等.基于IPOA-LSSVM模型的高压直流输电线路故障定位[J].南京信息工程大学学报,2024,16(05):667-677. DOI: 10.13878/j.cnki.jnuist.20231009002.
[15] WANG W C, TIAN W C, XU D M, et al. Arctic
puffin optimization: A bio-inspired metaheuristic algorithm for solving
engineering design optimization[J]. Advances in Engineering Software, 2024,
195: 103694. DOI： 10.1016/j.advengsoft.2024.103694 |
