基于广域测量系统响应时间序列的电力系统暂态稳定在线判别
|
摘要
基于实时获取的广域测量信息,提出一种利用功角响应时间序列最大Lyapunov指数指标(largestLyapunov exponent index,LLEI)与角速度偏差相结合的暂态功角稳定判别方法。基于无需系统模型的LLEI估算方法,建立LLEI与角速度偏差的数学关系,并利用相轨迹稳定性动态特征,提出一种基于LLEI与角速度偏差特征的暂态功角稳定判据。该判据无需寻找最优计算时间窗口且所需计算窗口很短,并能给出确切的稳定性判别时间,克服了传统LLEI分析方法的不足,能够准确、快速地判别暂态稳定性。为节省计算时间和计算成本,提出基于最严重受扰机组对的多机电力系统暂态稳定在线判别方案。通过IEEE 10机39节点系统算例,验证了所提方法的准确性及快速性。计算仅利用少量WAMS量测数据,算法简单快速、计算成本低,能够实现在线判别,具有良好的应用前景。
Based on real-time wide area measurement information, a detection method for power system transient rotor angle stability, combining the largest Lyapunov exponent index(LLEI) of response time series of rotor angel and angular velocity, is proposed. Based on model-free LLEI calculation method, a mathematical equation for LLEI and angular velocity deviation is established. Using stability dynamical characteristics of phase trajectories, a transient rotor angle stability criterion based on LLEI and angular velocity is proposed. The proposed stability criterion does not need predefined optimal time window and long-time LLEI data to identify LLEI final sign and can give exact stability assessment time. To reduce computational cost and calculation time, an online detection scheme for transient stability of multi-machine power system based on critical generator pairs is proposed. Simulation results of IEEE 39-bus system verify accuracy and rapidity of the proposed method. For the algorithm calculating LLEI, only a small amount of measured data from WAMS is needed, and the algorithm is simple and easy with low computation cost. This method can realize online detection, showing excellent application prospects.
Based on real-time wide area measurement information, a detection method for power system transient rotor angle stability, combining the largest Lyapunov exponent index(LLEI) of response time series of rotor angel and angular velocity, is proposed. Based on model-free LLEI calculation method, a mathematical equation for LLEI and angular velocity deviation is established. Using stability dynamical characteristics of phase trajectories, a transient rotor angle stability criterion based on LLEI and angular velocity is proposed. The proposed stability criterion does not need predefined optimal time window and long-time LLEI data to identify LLEI final sign and can give exact stability assessment time. To reduce computational cost and calculation time, an online detection scheme for transient stability of multi-machine power system based on critical generator pairs is proposed. Simulation results of IEEE 39-bus system verify accuracy and rapidity of the proposed method. For the algorithm calculating LLEI, only a small amount of measured data from WAMS is needed, and the algorithm is simple and easy with low computation cost. This method can realize online detection, showing excellent application prospects.
引文
[1]吴为,汤涌,孙华东,等.基于广域量测信息的电力系统暂态稳定研究综述[J].电网技术,2012,36(9):81-87.Wu Wei,Tang Yong,Sun Huadong,et a1.A survey on research of powersystemtransientstabilitybasedonwide-areameasurement information[J].PowerSystemTechnology,2012,36(9):81-87(in Chinese).
[2]陈麒宇,张芳,章锐.风水协同运行控制信息的传输[J].发电技术,2018,39(1):53-57.Chen Qiyu,Zhang Fang,Zhang Rui.Communication technology for wind power and hydropower coordinated operation control[J].Power Generation Technology,2018,39(1):53-57(in Chinese).
[3]周博文,陈麒宇,杨东升.巴西大停电的思考[J].发电技术,2018,?IG39(2):97-105.Zhou Bowen,Chen Qiyu,Yang Dongsheng.On the power system large-scaleblackoutinBrazil[J].PowerGenerationTechnology,2018,39(2):97-105(in Chinese).
[4]邱健,周孝信,于海乘,等.基于电网动态特性的发电机主导参数辨识方法[J].中国电机工程学报,2016,36(14):3699-3706.QiuJian,ZhouXiaoxin,YuHaicheng,etal.Amethodologyfor generatordominantparameteridentificationbasedondynamic characteristicsofpowergrid[J].ProceedingsoftheCSEE,2016,36(14):3699-3706(in Chinese).
[5]聂晓波,詹庆才,段刚,等.跨调度中心WAMS动态数据的新型互联互通方案及关键技术[J].电网技术,2014,38(10):2839-2844.NieXiaobo, ZhanQingcai, DuanGang, etal. Anewtype interconnection scheme and key technology for WAMS dynamic data oftrans-dispatchingcenter[J].PowerSystemTechnology,2014,38(10):2839-2844(in Chinese).
[6]顾卓远,汤涌,孙华东,等.一种基于转速差-功角差变化趋势的暂态功角稳定辨识方法[J].中国电机工程学报,2013,33(31):65-72.Gu Zhuoyuan,Tang Yong,Sun Huadong,et al.An identification method for power system transient angle stability based on the trend of rotor speed difference-rotor angle difference[J].Proceedings of the CSEE,2013,33(31):65-72(in Chinese).
[7]张保会,杨松浩,王怀远,等.电力系统暂态稳定性闭环控制(二)—多机电力系统暂态不稳定判别方法[J].电力自动化设备,2014,34(9):1-6.Zhang Baohui,Yang Songhao,Wang Huaiyuan,et al.Closed-loop controlofpowersystemtransientstability(2):transientinstability detection method of multi-machine power system[J].Electric Power Automation Equipment,2014,34(9):1-6(in Chinese).
[8]岑炳成,唐飞,廖清芬,等.应用功角空间降维变换的相轨迹判别系统暂态稳定性[J].中国电机工程学报,2015,35(11):2726-2734.Cen Bingcheng,Tang Fei,Liao Qingfen,et al.Transient stability detectionusingphasetrajectoryobtainedbydimensionreduction transformofpowerangles[J].ProceedingsoftheCSEE,2015,35(11):2726-2734(in Chinese).
[9]戴远航,陈磊,张玮灵,等.基于多支持向量机综合分电力系统暂态稳定评估[J].中国电机工程学报,2016,36(5):1173-1180.DaiYuanhang,ChenLei,ZhangWeiling,etal.Supportvector machine ensemble classifier and its confidence evaluation for transient stability prediction of power systems[J].Proceedings of the CSEE,2016,36(5):1173-1180(in Chinese).
[10]周艳真,吴俊勇,于之虹,等.用于电力系统暂态稳定预测的支持向量机组合分类器及其可信度评价[J].电网技术,2017,41(4):1188-1196.Zhou Yanzhen,Wu Junyong,Yu Zhihong,et al.Electric power system transientstabilityon-linepredictionbasedonleastsquaressupport vector machine[J].Power System Technology,2017,41(4):1188-1196(in Chinese).
[11]Amraee T,Ranjbar S.Transient instability prediction using decision tree technique[J].IEEE Transactions on Power Systems,2013,28(3):3028-3037.
[12]Liu C C,Thorp J S,Lu J,et al.Detection of transiently chaotic swings inpowersystemsusingreal-timephasormeasurements[J].IEEE Transactions on Power Systems,1994,9(3):1285-1292.
[13]YanJ,LiuCC,VaidyaU.PMU-basedmonitoringofrotorangle dynamics[J].IEEE Transactions on Power Systems,2011,19(3):2125-2133.
[14]Prasad Wadduwage D,Qiong Wu Christine,Annakkage U D.Power systemtransientstabilityanalysisviatheconceptofLyapunovexponents[J].Electric Power Systems Research,2013,104:183-192.
[15]DasguptaS,Paramasivam,M,Vaidya,U,etal.PMU-based model-freeapproachforreal-timerotoranglemonitoring[J].IEEE Transactions on Power Systems,2015,30(5):2818-2819.
[16]Kundur P,Paserba J,Ajjarapu V,et al.Definition and classification of power system stability[J].IEEE Transactions on Power Systems,2004,19(3):1387-1401.
[17]卢芳,于继来.基于广域相量测量的稳定快速评估方法[J].电力系统自动化,2010,34(8):24-28.LuFang,YuJilai.WAMSbasedpowersystemtransientstability assessment[J].Automation of Electric Power Systems,2010,34(8):24-28(in Chinese).
[18]ParlitzuU. EstimatingLyapunovexponentsfromtimeseries[M].Germany:Springer Berlin Heidelberg,2016.
[19]Yin M C,Wong C K,Xue Y,et al.An improved iterative method for assessmentofmulti-swingtransientstabilitylimit[J]. IEEE Transactions on Power Systems,2011,26(4):2023-2030.
[20]Haque M H,Rahim A H M A. Determination of first swing stability limit of multimachine power systems through Taylor series expansions[J].IEE Proceedings C-Generation,Transmission and Distribution,1989,136(6):373-380.
[21]RashidiM, Farjah, E. LEsbasedframeworkfortransient instability[J].IET Generation, Transmission&Distribution,2016,10(4):3431-3440.
[22]Jones K D,Thorp J S.Methodology for performing synchrophasor dataconditioningandvalidation[J].IEEETransactionsonPower Systems,2015,30(3):1121-1130.
[2]陈麒宇,张芳,章锐.风水协同运行控制信息的传输[J].发电技术,2018,39(1):53-57.Chen Qiyu,Zhang Fang,Zhang Rui.Communication technology for wind power and hydropower coordinated operation control[J].Power Generation Technology,2018,39(1):53-57(in Chinese).
[3]周博文,陈麒宇,杨东升.巴西大停电的思考[J].发电技术,2018,?IG39(2):97-105.Zhou Bowen,Chen Qiyu,Yang Dongsheng.On the power system large-scaleblackoutinBrazil[J].PowerGenerationTechnology,2018,39(2):97-105(in Chinese).
[4]邱健,周孝信,于海乘,等.基于电网动态特性的发电机主导参数辨识方法[J].中国电机工程学报,2016,36(14):3699-3706.QiuJian,ZhouXiaoxin,YuHaicheng,etal.Amethodologyfor generatordominantparameteridentificationbasedondynamic characteristicsofpowergrid[J].ProceedingsoftheCSEE,2016,36(14):3699-3706(in Chinese).
[5]聂晓波,詹庆才,段刚,等.跨调度中心WAMS动态数据的新型互联互通方案及关键技术[J].电网技术,2014,38(10):2839-2844.NieXiaobo, ZhanQingcai, DuanGang, etal. Anewtype interconnection scheme and key technology for WAMS dynamic data oftrans-dispatchingcenter[J].PowerSystemTechnology,2014,38(10):2839-2844(in Chinese).
[6]顾卓远,汤涌,孙华东,等.一种基于转速差-功角差变化趋势的暂态功角稳定辨识方法[J].中国电机工程学报,2013,33(31):65-72.Gu Zhuoyuan,Tang Yong,Sun Huadong,et al.An identification method for power system transient angle stability based on the trend of rotor speed difference-rotor angle difference[J].Proceedings of the CSEE,2013,33(31):65-72(in Chinese).
[7]张保会,杨松浩,王怀远,等.电力系统暂态稳定性闭环控制(二)—多机电力系统暂态不稳定判别方法[J].电力自动化设备,2014,34(9):1-6.Zhang Baohui,Yang Songhao,Wang Huaiyuan,et al.Closed-loop controlofpowersystemtransientstability(2):transientinstability detection method of multi-machine power system[J].Electric Power Automation Equipment,2014,34(9):1-6(in Chinese).
[8]岑炳成,唐飞,廖清芬,等.应用功角空间降维变换的相轨迹判别系统暂态稳定性[J].中国电机工程学报,2015,35(11):2726-2734.Cen Bingcheng,Tang Fei,Liao Qingfen,et al.Transient stability detectionusingphasetrajectoryobtainedbydimensionreduction transformofpowerangles[J].ProceedingsoftheCSEE,2015,35(11):2726-2734(in Chinese).
[9]戴远航,陈磊,张玮灵,等.基于多支持向量机综合分电力系统暂态稳定评估[J].中国电机工程学报,2016,36(5):1173-1180.DaiYuanhang,ChenLei,ZhangWeiling,etal.Supportvector machine ensemble classifier and its confidence evaluation for transient stability prediction of power systems[J].Proceedings of the CSEE,2016,36(5):1173-1180(in Chinese).
[10]周艳真,吴俊勇,于之虹,等.用于电力系统暂态稳定预测的支持向量机组合分类器及其可信度评价[J].电网技术,2017,41(4):1188-1196.Zhou Yanzhen,Wu Junyong,Yu Zhihong,et al.Electric power system transientstabilityon-linepredictionbasedonleastsquaressupport vector machine[J].Power System Technology,2017,41(4):1188-1196(in Chinese).
[11]Amraee T,Ranjbar S.Transient instability prediction using decision tree technique[J].IEEE Transactions on Power Systems,2013,28(3):3028-3037.
[12]Liu C C,Thorp J S,Lu J,et al.Detection of transiently chaotic swings inpowersystemsusingreal-timephasormeasurements[J].IEEE Transactions on Power Systems,1994,9(3):1285-1292.
[13]YanJ,LiuCC,VaidyaU.PMU-basedmonitoringofrotorangle dynamics[J].IEEE Transactions on Power Systems,2011,19(3):2125-2133.
[14]Prasad Wadduwage D,Qiong Wu Christine,Annakkage U D.Power systemtransientstabilityanalysisviatheconceptofLyapunovexponents[J].Electric Power Systems Research,2013,104:183-192.
[15]DasguptaS,Paramasivam,M,Vaidya,U,etal.PMU-based model-freeapproachforreal-timerotoranglemonitoring[J].IEEE Transactions on Power Systems,2015,30(5):2818-2819.
[16]Kundur P,Paserba J,Ajjarapu V,et al.Definition and classification of power system stability[J].IEEE Transactions on Power Systems,2004,19(3):1387-1401.
[17]卢芳,于继来.基于广域相量测量的稳定快速评估方法[J].电力系统自动化,2010,34(8):24-28.LuFang,YuJilai.WAMSbasedpowersystemtransientstability assessment[J].Automation of Electric Power Systems,2010,34(8):24-28(in Chinese).
[18]ParlitzuU. EstimatingLyapunovexponentsfromtimeseries[M].Germany:Springer Berlin Heidelberg,2016.
[19]Yin M C,Wong C K,Xue Y,et al.An improved iterative method for assessmentofmulti-swingtransientstabilitylimit[J]. IEEE Transactions on Power Systems,2011,26(4):2023-2030.
[20]Haque M H,Rahim A H M A. Determination of first swing stability limit of multimachine power systems through Taylor series expansions[J].IEE Proceedings C-Generation,Transmission and Distribution,1989,136(6):373-380.
[21]RashidiM, Farjah, E. LEsbasedframeworkfortransient instability[J].IET Generation, Transmission&Distribution,2016,10(4):3431-3440.
[22]Jones K D,Thorp J S.Methodology for performing synchrophasor dataconditioningandvalidation[J].IEEETransactionsonPower Systems,2015,30(3):1121-1130.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |