在线暂态安全稳定评估的分类滚动故障筛选方法
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摘要
为满足在线暂态安全稳定评估对计算时间的要求,提出了基于模式和裕度估算的在线暂态安全稳定故障筛选方法。分别基于上一轮在线暂态安全稳定评估结果中各个预想故障的暂态功角稳定、暂态电压跌落安全、暂态电压稳定和暂态频率偏移安全的裕度及模式信息,并结合各个故障安全稳定模式中相关元件的潮流变化和投/退等信息,估算出新一轮在线暂态安全稳定评估所对应的运行状态下各个故障的暂态安全稳定裕度,并确定其相应的安全稳定模式,从而筛选出本轮在线暂态安全稳定评估需详细计算的预想故障子集。通过对实际电网在线数据的仿真分析,验证了所述方法的有效性和实用性。
To meet the requirement of calculation time for on-line transient security and stability assessment,an on-line transient security and stability contingency screening method based on margin and mode estimation is proposed.According to the margin and modes information of each contingency in previous assessment results,including transient power angle stability,transient voltage security,transient voltage stability,and transient frequency security,and combining the power flow change,in service or out of service information of the relevant components associated with the security and stability modes of each contingency,the transient security and stability margin of each contingency under the new on-line transient security and stability evaluation is estimated,and the corresponding security mode is determined.Thereby,the contingency subset,which needed to be calculated in detail can be screened from the complete contingency set in the on-line transient security and stability evaluation.According to the simulation analysis of actual power network data,the validity and practicability of the proposed method can be verified.
To meet the requirement of calculation time for on-line transient security and stability assessment,an on-line transient security and stability contingency screening method based on margin and mode estimation is proposed.According to the margin and modes information of each contingency in previous assessment results,including transient power angle stability,transient voltage security,transient voltage stability,and transient frequency security,and combining the power flow change,in service or out of service information of the relevant components associated with the security and stability modes of each contingency,the transient security and stability margin of each contingency under the new on-line transient security and stability evaluation is estimated,and the corresponding security mode is determined.Thereby,the contingency subset,which needed to be calculated in detail can be screened from the complete contingency set in the on-line transient security and stability evaluation.According to the simulation analysis of actual power network data,the validity and practicability of the proposed method can be verified.
引文
[1]薛禹胜.运动稳定性理论-非线性非自治多刚体系统的稳定性分析[M].南京:江苏科学技术出版社,1999.XUE Yusheng.Quantitative study of general motion stability and an example on power system stability[M].Nanjing:Jiangsu Science&Technology Press,1999.
[2]徐泰山,许剑冰,鲍颜红,等.互联电网预防控制和紧急控制在线预决策系统[J].电力系统自动化,2006,30(7):1-4.XU Taishan,XU Jianbing,BAO Yanhong,et al.On-line predecision based preventive and emergency control system for interconnected power grids[J].Automation of Electric Power Systems,2006,7(30):1-4.
[3]李碧君,许剑冰,徐泰山,等.大电网安全稳定综合协调防御的工程应用[J].电力系统自动化,2008,32(6):25-30.LI Bijun,XU Jianbing,XU Taishan,et al.Engineering application of integrated and coordinated defense technology of large power system security and stability[J].Automation of Electric Power Systems,2008,6(32):25-30.
[4]KAPLUNOVICH P A,TURITSYN K.Fast and reliable screening of N-2contingencies[J].IEEE Transactions on Power Systems,2016,31(6):4243-4252.
[5]SUNITHA R,SREERAMA K,ABRAHAM T M.Online static security assessment module using artificial neural networks[J].IEEE Transactions on Power Systems,2013,28(4):4328-4335.
[6]刘友波,刘洋,刘俊勇,等.基于Hadoop架构的电力系统连锁故障分布式计算技术[J].电力系统自动化,2016,40(7):90-97.DOI:10.7500/AEPS20150702001.LIU Youbo,LIU Yang,LIU Junyong,et al.Hadoop based distributed computing framework for large-scale cascading failure simulation and analysis of power system[J].Automation of Electric Power Systems,2016,40(7):90-97.DOI:10.7500/AEPS20150702001.
[7]JOYDEEP M,MOHAMMED B,NGA N,et al.A visualization tool for real-time dynamic contingency screening and remedial actions[J].IEEE Transactions on Industry Applications,2017,53(4):3268-3278.
[8]陆丹丹,杨飞燕,王建全.基于轨迹特征根的快速事故筛选方法[J].电力系统自动化,2013,37(5):38-43.LU Dandan,YANG Feiyan,WANG Jianquan.A contingency screening method based on trajectory eigenvalue[J].Automation of Electric Power Systems,2013,37(5):38-43.
[9]顾雪平,曹绍杰,张文勤.人工神经网络和短时仿真结合的暂态安全评估故障筛选方法[J].电力系统自动化,1999,23(8):16-19.GU Xueping,CAO Shaojie,ZHANG Wenqin.Integration of ANNs and short-duration numerical simulation for contingency screening of transient security assessment[J].Automation of Electric Power Systems,1999,23(8):16-19.
[10]周伟,陈允平.自组织映射神经网络用于暂态稳定性分析的研究[J].电力系统自动化,2002,26(15):33-38.ZHOU Wei,CHEN Yunping.Self-organizing mapping(SOM)neural networks for power system transient security assessment[J].Automation of Electric Power Systems,2002,26(15):33-38.
[11]吕志来,张保会,哈恒旭.模糊子集和Taylor级数相结合的快速事故筛选方法[J].电力系统自动化,2000,24(22):16-20.LZhilai,ZHANG Baohui,HA Hengxu.Integration of fuzzy set theory and Taylor series expansions for contingency screening of transient stability assessment[J].Automation of Electric Power Systems,2000,24(22):16-20.
[12]王守相,张伯明,郭琦.在线动态安全评估中事故扫描的综合性能指标法[J].电网技术,2005,29(1):60-63.WANG Shouxiang,ZHANG Boming,GUO Qi.Integrated performance index method of contingency screening in online dynamic security assessment[J].Power System Technology,2005,29(1):60-63.
[13]王成山,曹旌,陈光远.基于聚类分析的电力系统暂态稳定故障筛选[J].电网技术,2005,29(15):18-22.WANG Chengshan,CAO Jing,CHEN Guangyuan.Power system transient stability contingency screening based on clustering analysis[J].Power System Technology,2005,29(15):18-22.
[14]徐泰山,薛禹胜,李碧君,等.暂态稳定在线预警故障集的自适应筛选[J].电力系统自动化,2009,33(22):1-4.XU Taishan,XUE Yusheng,LI Bijun,et al.On-line adaptive contingency screening for early-warning of transient stability[J].Automation of Electric Power Systems,2009,33(22):1-4.
[15]徐泰山,薛禹胜.暂态频率偏移可接受性的定量分析[J].电力系统自动化,2002,26(19):1-7.XU Taishan,XUE Yusheng.Quantitative assessments of transient frequency deviation acceptability[J].Automation of Electric Power Systems,2002,26(19):1-7.
[16]徐泰山,薛禹胜,鲍颜红,等.电力系统暂态安全稳定模式中元件参与因子识别方法:200910026801.4[P].2009-06-01.XU Taishan,XUE Yusheng,BAO Yanhong,et al.Element participation factor identification method for transient security and stability mode of power system:200910026801.4[P].2009-06-01.
[2]徐泰山,许剑冰,鲍颜红,等.互联电网预防控制和紧急控制在线预决策系统[J].电力系统自动化,2006,30(7):1-4.XU Taishan,XU Jianbing,BAO Yanhong,et al.On-line predecision based preventive and emergency control system for interconnected power grids[J].Automation of Electric Power Systems,2006,7(30):1-4.
[3]李碧君,许剑冰,徐泰山,等.大电网安全稳定综合协调防御的工程应用[J].电力系统自动化,2008,32(6):25-30.LI Bijun,XU Jianbing,XU Taishan,et al.Engineering application of integrated and coordinated defense technology of large power system security and stability[J].Automation of Electric Power Systems,2008,6(32):25-30.
[4]KAPLUNOVICH P A,TURITSYN K.Fast and reliable screening of N-2contingencies[J].IEEE Transactions on Power Systems,2016,31(6):4243-4252.
[5]SUNITHA R,SREERAMA K,ABRAHAM T M.Online static security assessment module using artificial neural networks[J].IEEE Transactions on Power Systems,2013,28(4):4328-4335.
[6]刘友波,刘洋,刘俊勇,等.基于Hadoop架构的电力系统连锁故障分布式计算技术[J].电力系统自动化,2016,40(7):90-97.DOI:10.7500/AEPS20150702001.LIU Youbo,LIU Yang,LIU Junyong,et al.Hadoop based distributed computing framework for large-scale cascading failure simulation and analysis of power system[J].Automation of Electric Power Systems,2016,40(7):90-97.DOI:10.7500/AEPS20150702001.
[7]JOYDEEP M,MOHAMMED B,NGA N,et al.A visualization tool for real-time dynamic contingency screening and remedial actions[J].IEEE Transactions on Industry Applications,2017,53(4):3268-3278.
[8]陆丹丹,杨飞燕,王建全.基于轨迹特征根的快速事故筛选方法[J].电力系统自动化,2013,37(5):38-43.LU Dandan,YANG Feiyan,WANG Jianquan.A contingency screening method based on trajectory eigenvalue[J].Automation of Electric Power Systems,2013,37(5):38-43.
[9]顾雪平,曹绍杰,张文勤.人工神经网络和短时仿真结合的暂态安全评估故障筛选方法[J].电力系统自动化,1999,23(8):16-19.GU Xueping,CAO Shaojie,ZHANG Wenqin.Integration of ANNs and short-duration numerical simulation for contingency screening of transient security assessment[J].Automation of Electric Power Systems,1999,23(8):16-19.
[10]周伟,陈允平.自组织映射神经网络用于暂态稳定性分析的研究[J].电力系统自动化,2002,26(15):33-38.ZHOU Wei,CHEN Yunping.Self-organizing mapping(SOM)neural networks for power system transient security assessment[J].Automation of Electric Power Systems,2002,26(15):33-38.
[11]吕志来,张保会,哈恒旭.模糊子集和Taylor级数相结合的快速事故筛选方法[J].电力系统自动化,2000,24(22):16-20.LZhilai,ZHANG Baohui,HA Hengxu.Integration of fuzzy set theory and Taylor series expansions for contingency screening of transient stability assessment[J].Automation of Electric Power Systems,2000,24(22):16-20.
[12]王守相,张伯明,郭琦.在线动态安全评估中事故扫描的综合性能指标法[J].电网技术,2005,29(1):60-63.WANG Shouxiang,ZHANG Boming,GUO Qi.Integrated performance index method of contingency screening in online dynamic security assessment[J].Power System Technology,2005,29(1):60-63.
[13]王成山,曹旌,陈光远.基于聚类分析的电力系统暂态稳定故障筛选[J].电网技术,2005,29(15):18-22.WANG Chengshan,CAO Jing,CHEN Guangyuan.Power system transient stability contingency screening based on clustering analysis[J].Power System Technology,2005,29(15):18-22.
[14]徐泰山,薛禹胜,李碧君,等.暂态稳定在线预警故障集的自适应筛选[J].电力系统自动化,2009,33(22):1-4.XU Taishan,XUE Yusheng,LI Bijun,et al.On-line adaptive contingency screening for early-warning of transient stability[J].Automation of Electric Power Systems,2009,33(22):1-4.
[15]徐泰山,薛禹胜.暂态频率偏移可接受性的定量分析[J].电力系统自动化,2002,26(19):1-7.XU Taishan,XUE Yusheng.Quantitative assessments of transient frequency deviation acceptability[J].Automation of Electric Power Systems,2002,26(19):1-7.
[16]徐泰山,薛禹胜,鲍颜红,等.电力系统暂态安全稳定模式中元件参与因子识别方法:200910026801.4[P].2009-06-01.XU Taishan,XUE Yusheng,BAO Yanhong,et al.Element participation factor identification method for transient security and stability mode of power system:200910026801.4[P].2009-06-01.