基于微扰法的低压有源配电网故障定位方法
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摘要
分布式电源(DG)接入低压配电网,使配电网潮流分布变得复杂,基于单向潮流的传统故障定位方案不再适用。提出基于微扰法进行相模变换实现含分布式电源低压配电网的故障定位方法。针对配电网三相线路参数不对称,运用微扰原理,通过构造线路参数阻抗矩阵微扰量,求出使原相互耦合的三相网络解耦成3个相互独立序网图的相模变换矩阵,实现了对不对称线路参数阻抗矩阵的解耦;在此基础上,对低压有源配电网依据区段故障前后相模变换电流故障分量的相角差值的变化,推导出判断配电网故障区段的判据,实现对低压配电网的故障定位。通过Matlab/Simulink进行了仿真分析,结果表明:该方法可以快速准确地定位出故障区段,解决了配电网络参数不对称对定位精度的影响。
With the access of distributed generation to low-voltage distribution network, the power flow of the distribution network becomes more complicated. As a result, the traditional fault location scheme based on one-way power flow no longer applies. This paper proposes a perturbation based phase-mode transformation to achieve the fault location for low-voltage distribution networks with distributed generation. Against the asymmetry of three-phase line parameters in low-voltage distribution network, the line parameter impedance matrix perturbation is constructed with the perturbation theory to derive the phase mode transformation matrix which can decouple the original three-phase networks into three mutually independent sequence graphs, consequently realizing the decoupling of the parameter impedance matrix of asymmetric lines. And then, A criterion is derived for judging the fault section of the low-voltage active distribution network according to the changes of the fault component phase angle differences of the section phase-mode transformation current before and after the fault, realizing the accurate position of the low voltage distribution network.The Matlab/Simulink simulation results show that the proposed method can quickly and accurately locate the fault section and solves the influence of the asymmetry of distribution network parameters on positioning accuracy.
With the access of distributed generation to low-voltage distribution network, the power flow of the distribution network becomes more complicated. As a result, the traditional fault location scheme based on one-way power flow no longer applies. This paper proposes a perturbation based phase-mode transformation to achieve the fault location for low-voltage distribution networks with distributed generation. Against the asymmetry of three-phase line parameters in low-voltage distribution network, the line parameter impedance matrix perturbation is constructed with the perturbation theory to derive the phase mode transformation matrix which can decouple the original three-phase networks into three mutually independent sequence graphs, consequently realizing the decoupling of the parameter impedance matrix of asymmetric lines. And then, A criterion is derived for judging the fault section of the low-voltage active distribution network according to the changes of the fault component phase angle differences of the section phase-mode transformation current before and after the fault, realizing the accurate position of the low voltage distribution network.The Matlab/Simulink simulation results show that the proposed method can quickly and accurately locate the fault section and solves the influence of the asymmetry of distribution network parameters on positioning accuracy.
引文
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[9]刘颖英,王同勋,冯丹丹,等.基于多重判据的电压暂降故障源定位方法[J].中国电机工程学报,2015, 35(1):103-111.LIU Yingying, WANG Tongxun, FENG Dandan, et al. Multiple criterions based voltage sag location method[J]. Proceedings of the CSEE, 2015, 35(1):103-111.
[10]郭谋发,杨耿杰,黄建业,等.配电网馈线故障区段定位系统[J].电力系统及其自动化学报,2011,23(2):18-23.GUO Moufa, YANG Gengjie, HUANG Jianye, et al. Feeder fault section location system in distribution network[J]. Proceedings of the CSU-EPSA,2011,23(2):18-23.
[11]牛耕,周龙,裴玮,等.基于克拉克电流相角差值的低压有源配电网故障定位方法[J].中国电机工程学报,2015, 35(S1):15-24.NIU Geng, ZHOU Long, PEI Wei, et al. Fault location method for low voltage active distribution network based on phase-angle differences of the clark currents[J]. Proceedings of the CSEE, 2015,35(S1):15-24.
[12]严凤,许海梅.基于神经网络的配电线路综合故障定位方法[J].电力系统及其自动化学报,2015, 27(5):86-91.YAN Feng, XU Haimei. Composite fault location method based on PNN for distribution lines[J]. Proceedings of the CSU-EPSA, 2015,27(5):86-91.
[13]郭壮志,陈波,刘灿萍,等.基于遗传算法的配电网故障定位[J].电网技术,2007, 31(11):88-92.GUO Zhuangzhi, CHEN Bo, LIU Canping, et al. Fault location of distribution network based on genetic algorithm[J]. Power System Technology,2007, 31(11):88-92.
[14]高云龙,周羽生,彭湃,等.优化和声算法在含DG配电网故障定位中的应用[J].电力系统保护与控制,2014, 42(19):26-31.GAO Yunlong, ZHOU Yusheng, PENG Pai, et al. Application of harmony algorithm optimized for fault location in distribution networks with DG[J]. Power System Protection and Control, 2014,42(19):26-31.
[15]陈奎,张云,王洪寅,等.基于免疫算法的含分布式电源配电网的故障定位[J].电力系统保护与控制,2017, 45(24):57-62.CHEN Kui, ZHANG Yun, WANG Hongyin, et al. Fault-section location of distribution network containing distributed generation based on immune algorithm[J]. Power System Protection and Control, 2017, 45(24):57-62.
[16]潘玉美.配电网短路故障定位方法研究[D].北京:华北电力大学,2014.
[17]吴凡,赵晋泉,朱斌,等.基于MOPSO的含分布式光伏配电网故障区段定位[J].电力系统保护与控制,2018, 46(6):46-53.WU Fan, ZHAO Jinquan, ZHU Bin, et al. Faulty section location based on MOPSO for distribution networks with distributed photovoltaic generation[J]. Power System Protection and Control,2018, 46(6):46-53.
[18]付家才,陆青松.基于蝙蝠算法的配电网故障区间定位[J].电力系统保护与控制,2015, 43(16):100-105.FU Jiacai, LU Qingsong. Faulty sections location of distribution network based on bat algorithm[J]. Power System Protection and Control,2015, 43(16):100-105.
[19]王一非.含分布式电源的配电网故障定位研究[D].太原:太原理工大学,2017.
[20] PAPATHANASSIOU S, HATZIARGYRIOU N,KAI S. A benchmark low voltage microgrid network[C]//Proceedings of the CIGRE Symposium:Power Systems With Dispersed Generation.Athens, Greece, 2005.
[2]罗钱,粟时平,刘桂英,等.基于混合算法的含DG配电网故障区段定位[J].电力系统及其自动化学报,2016, 28(5):86-90.LUO Qian, SU Shiping, LIU Guiying, et al. Fault section location for distribution networks with dg based on hybrid algorithm[J].Proceedings of the CSU-EPSA, 2016, 28(5):86-90.
[3]黄少伟,陈颖,沈沉.不对称电力系统相序混合建模与三相潮流算法[J].电力系统自动化,2011,35(14):68-73.HUANG Shaowei, CHEN Ying, SHEN Chen. Hybrid modeling of a symmetrical power system and three-phase power flow method[J].Automation of Electric Power System, 2011,35(14):68-73.
[4]卫志农,王丹,孙国强,等.基于相坐标系的配电网三相不对称解耦状态估计算法[J].电力系统自动化,2005, 29(16):16-21.WEI Zhinong, WANG Dan, SUN Guoqiang, et al. New algorithm for state estimation based on fast decoupling of distribution system's asymmetrical three-phase in phase coordinates[J]. Automation of Electric Power System, 2005, 29(16):16-21.
[5]胡福年,孙守娟.基于图论的矩阵算法在配电网故障定位中的应用[J].中国电力,2016, 49(3):94-98.HU Funian, SUN Shoujuan. Fault location of distribution network byapplying matrix algorithm based on graph theory[J]. Electric Power,2016, 49(3):94-98.
[6]吴振升,杨学昌,伊贵业.配电网三相不换位线路接地故障定位的传递函数法[J].中国电机工程学报,2001,21(12):8-12.WU Zhensheng, YANG Xuechang, YI Guiye. The theoretical analysis of transfer function location algorithm for grounded fault on unbalanced or imperfectly transposed lines in power distribution networks[J]. Proceedings of the CSEE, 2001, 21(12):8-12.
[7]徐新民,马振亮.基于拓扑划分的配电网故障定位新算法[J].中国电力,2012, 45(5):20-24.XU Xinmin, MA Zhenliang. A novel algorithm for fault location in a distribution network based on topology division[J]. Electric Power,2012, 45(5):20-24.
[8]贾仕龙.含分布式电源的配电网故障区段定位[D].北京:华北电力大学,2015.
[9]刘颖英,王同勋,冯丹丹,等.基于多重判据的电压暂降故障源定位方法[J].中国电机工程学报,2015, 35(1):103-111.LIU Yingying, WANG Tongxun, FENG Dandan, et al. Multiple criterions based voltage sag location method[J]. Proceedings of the CSEE, 2015, 35(1):103-111.
[10]郭谋发,杨耿杰,黄建业,等.配电网馈线故障区段定位系统[J].电力系统及其自动化学报,2011,23(2):18-23.GUO Moufa, YANG Gengjie, HUANG Jianye, et al. Feeder fault section location system in distribution network[J]. Proceedings of the CSU-EPSA,2011,23(2):18-23.
[11]牛耕,周龙,裴玮,等.基于克拉克电流相角差值的低压有源配电网故障定位方法[J].中国电机工程学报,2015, 35(S1):15-24.NIU Geng, ZHOU Long, PEI Wei, et al. Fault location method for low voltage active distribution network based on phase-angle differences of the clark currents[J]. Proceedings of the CSEE, 2015,35(S1):15-24.
[12]严凤,许海梅.基于神经网络的配电线路综合故障定位方法[J].电力系统及其自动化学报,2015, 27(5):86-91.YAN Feng, XU Haimei. Composite fault location method based on PNN for distribution lines[J]. Proceedings of the CSU-EPSA, 2015,27(5):86-91.
[13]郭壮志,陈波,刘灿萍,等.基于遗传算法的配电网故障定位[J].电网技术,2007, 31(11):88-92.GUO Zhuangzhi, CHEN Bo, LIU Canping, et al. Fault location of distribution network based on genetic algorithm[J]. Power System Technology,2007, 31(11):88-92.
[14]高云龙,周羽生,彭湃,等.优化和声算法在含DG配电网故障定位中的应用[J].电力系统保护与控制,2014, 42(19):26-31.GAO Yunlong, ZHOU Yusheng, PENG Pai, et al. Application of harmony algorithm optimized for fault location in distribution networks with DG[J]. Power System Protection and Control, 2014,42(19):26-31.
[15]陈奎,张云,王洪寅,等.基于免疫算法的含分布式电源配电网的故障定位[J].电力系统保护与控制,2017, 45(24):57-62.CHEN Kui, ZHANG Yun, WANG Hongyin, et al. Fault-section location of distribution network containing distributed generation based on immune algorithm[J]. Power System Protection and Control, 2017, 45(24):57-62.
[16]潘玉美.配电网短路故障定位方法研究[D].北京:华北电力大学,2014.
[17]吴凡,赵晋泉,朱斌,等.基于MOPSO的含分布式光伏配电网故障区段定位[J].电力系统保护与控制,2018, 46(6):46-53.WU Fan, ZHAO Jinquan, ZHU Bin, et al. Faulty section location based on MOPSO for distribution networks with distributed photovoltaic generation[J]. Power System Protection and Control,2018, 46(6):46-53.
[18]付家才,陆青松.基于蝙蝠算法的配电网故障区间定位[J].电力系统保护与控制,2015, 43(16):100-105.FU Jiacai, LU Qingsong. Faulty sections location of distribution network based on bat algorithm[J]. Power System Protection and Control,2015, 43(16):100-105.
[19]王一非.含分布式电源的配电网故障定位研究[D].太原:太原理工大学,2017.
[20] PAPATHANASSIOU S, HATZIARGYRIOU N,KAI S. A benchmark low voltage microgrid network[C]//Proceedings of the CIGRE Symposium:Power Systems With Dispersed Generation.Athens, Greece, 2005.