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电网技术  2009 

基于广域同步量测的电力系统扰动识别与定位方法

, PP. 41-48

Keywords: 扰动识别,安全稳定控制,广域同步测量系统,电力系统

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Abstract:

快速准确的扰动类型与位置识别对于实施及时有效的电力系统安全稳定控制至关重要,但目前稳定控制系统对于扰动的感知范围非常依赖于子站测点的布置,因此扰动识别的准确性和冗余度不够。本文对各种常见扰动机理进行了详细的分析,并提出了一种基于广域同步测量系统(WAMS)的电力系统扰动识别与定位方法。该方法一方面选取扰动后的PMU实测正序支路电流相量作为特征提取量;另一方面利用叠加原理,在扰动分量网络中求取支路电流的估计扰动分量,进而通过实测特征提取量和预设事件的估计扰动分量之间的快速匹配(利用距离二范数),实现了对扰动类型和位置的快速有效识别,以改进稳定控制系统的故障场景识别和匹配。仿真结果表明了该方法的有效性。

References

[1]  卓俊峰,夏慧,杨小煜,等.电网扰动控制标准及其应用[J].电网技术,2007,31(24):17-21.
[2]  Zhuo Junfeng,Xia Hui,Yang Xiaoyu,et al.Disturbance control standard of power system and its application[J].Power System Technology,2007,31(24):17-21(in Chinese).
[3]  蔡敏,孙光辉,吴晓辰,等.稳定控制所用交流设备跳闸判据的分析及应用[J].电力系统自动化,2007,31(8):46-51.
[4]  Cai Min,Sun Guanghui,Wu Xiaochen,et al.Analysis and application of AC fault criterion in power system stability control[J].Automation of Electric Power Systems,2007,31(8):46-51(in Chinese).
[5]  方勇杰,徐海波.基于本地电气量的无故障新跳闸判据[J].电力系统自动化,2008,32(3):33-35.
[6]  Fang Yongjie,Xu Haibo.A new method of identifying non-fault line tripping based on local electrical measurements[J].Automation of Electric Power Systems,2008,32(3):33-35(in Chinese).
[7]  徐海波,方勇杰,李雪明.基于本地电气量的无故障新跳闸判据的实验验证[J].电力系统自动化,2008,32(10):42-44.
[8]  Xu Haibo,Fang Yongjie,Li Xueming.The validation of the new method of identifying non-fault line tripping based on local electrical measurements[J].Automation of Electric Power Systems,2008,32(10):42-44(in Chinese).
[9]  陈彬,于继来.基于电网潮流分布特征的在线故障智能诊断[J].电力系统自动化,2007,31(16):29-34.
[10]  Chen Bin,Yu Jilai.Online fault intelligent diagnosis based on distributed characteristics of power flow with outage of electric power network[J].Automation of Electric Power Systems,2007,31(16):29-34(in Chinese).
[11]  韩学军,石磊,赵凤英.连锁过载识别方法的比较[J].电网技术,2007,31(21):37-40.
[12]  Han Xuejun,Shi Lei,Zhao Fengying.Comparative research on identifying method of cascading overload[J].Power System Technology,2007,31(21):37-40(in Chinese).
[13]  Phadke A G.Synchronized phasor measurements in power systems[J].IEEE Computer Applications in Power,1993,6(2): 10-15.
[14]  Parashar M,Thorp J S,Seyler C E.Continuum modeling of electromechanical dynamics in large-scale power systems[J].IEEE Transactions on Circuits and Systems I:Fundamental Theory and Applications,2004,51(9):848-1858.
[15]  Zhong Z,Xu C C,Billian B J.Power system frequency monitoring network (FNET) implementation[J].IEEE Transactions on Power Systems,2005,20(4):1914-1921.
[16]  Tsai S S,Zhang L,Phadke A G,et al.Frequency sensitivity and electromechanical propagation simulation study in large power systems[J].IEEE Transactions on Circuits and Systems I:regular papers,2007,54(6):1819-1828.
[17]  宋晓娜,毕天姝,吴京涛,等.基于WAMS的电网扰动识别方法[J].电力系统自动化,2006,30(5):24-28.
[18]  Song Xiaona,Bi Tianshu,Wu Jingtao,et al.Study on WAMS based power system disturbance identifying method[J].Automation of Electric Power Systems,2006,30(5):24-28(in Chinese).
[19]  李光琦.电力系统暂态分析[M].2版.北京:中国电力出版社,1995:87-88.
[20]  国家电力调度通信中心.电网调度运行实用技术问答[M].北京:中国电力出版社,2000:13-14.
[21]  杨奇逊,黄少锋.微型机继电保护基础[M].2版.北京:中国电力出版社,2005:54-55.
[22]  秦晓辉.基于WAMS的电力系统状态估计及轨迹稳定信息提取研究[D].北京:华北电力大学,2008.
[23]  梅念,石东源,杨雄平,等.基于开关变位信息的电网可疑故障元件集识别方法[J].电网技术,2007,31(15):80-84.
[24]  Mei Nian,Shi Dongyuan,Yang Xiongping,et al.An identification method of suspicious faulty device aggregate for power systems based on position change information of breakers[J].Power System Technology,2007,31(15):80-84(in Chinese).
[25]  IEEE Std C37,118-2005-IEEE Standard for synchrophasors for power systems[S].
[26]  国家电网公司.电力系统实时动态监测系统技术规范[Z].2006.

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