基于小范围动态安全域的故障筛选与排序
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摘要
事故筛选排序是电力系统概率安全分析中尤为重要的组成部分。为了使电力系统的安全评估能够实时监测和在线应用,提出了一种兼顾准确性和实时性的新故障筛选排序模型。为同时满足精度与速度的要求,采用改进的小范围解析法求得相对于概率不安全指标精度敏感的小范围动态安全域。采用稳定判据将故障分类,各类故障采用不同策略并行排序。致命性故障按照概率不安全指标排序后,立即输出。一般性故障,定义了基于小范围安全域的最易失稳距离,优化了故障损失威胁模型,按照失稳距离初步筛选,再按损失威胁进行排序。该故障筛选与排序模型针对每个故障只需计算一次动态安全域,对致命性故障排序一次,对一般性故障筛选和排序各一次。IEEE10机39节点系统仿真结果表明,该模型可以迅速可靠地完成故障筛选与排序,对系统运行方案具有较强指导性。
Contingency screening and ranking is an important component of probabilistic security assessment of power system. In order to make the security assessment be monitored real-timely and applied online, a new model of contingency screening and ranking considering both accuracy and real time is proposed. To meet the requirements of both accuracy and speed, the model uses improved small-range analytic method to calculate small-range dynamic security region which is sensitive relative to the accuracy of probabilistic insecurity index. The stability criterion is used to classify the faults, and various faults are ranked using different strategies. Fatal faults are ranked according to probabilistic insecurity index, and then output immediately. For general faults, it defines the most easily instability distance based on small-range dynamic security region, optimizes fault loss threat model, preliminarily screens the faults according to instability distance, and then ranks them based on loss threat. The new proposed model calculates each fault's dynamic security region once, ranks fatal faults once, and screens and ranks general faults once. Simulation on IEEE 10-generator 39-bus system shows that the new model can make contingency screen and rank quickly and reliably, and the results have strong guidance for operation schemes of power system.
Contingency screening and ranking is an important component of probabilistic security assessment of power system. In order to make the security assessment be monitored real-timely and applied online, a new model of contingency screening and ranking considering both accuracy and real time is proposed. To meet the requirements of both accuracy and speed, the model uses improved small-range analytic method to calculate small-range dynamic security region which is sensitive relative to the accuracy of probabilistic insecurity index. The stability criterion is used to classify the faults, and various faults are ranked using different strategies. Fatal faults are ranked according to probabilistic insecurity index, and then output immediately. For general faults, it defines the most easily instability distance based on small-range dynamic security region, optimizes fault loss threat model, preliminarily screens the faults according to instability distance, and then ranks them based on loss threat. The new proposed model calculates each fault's dynamic security region once, ranks fatal faults once, and screens and ranks general faults once. Simulation on IEEE 10-generator 39-bus system shows that the new model can make contingency screen and rank quickly and reliably, and the results have strong guidance for operation schemes of power system.
引文
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[9]高天亮.基于动态安全域的电力系统安全概率评估模型[D].天津:天津大学,2006.GAO Tianliang.A probabilistic power system dynamic security assessment model based on dynamic security region[D].Tianjin:Tianjin University,2006.
[10]ZENG Yuan,YU Yixin,WANG Hongmei,et al.Prediction of instability separation modes and its application in practical dynamic security region[J].Transactions of Tianjin University,2007,13(3):157-162.
[11]胡永强,陈长胜,赵书强,等.一种多频振荡场景下的失稳模式划分方法[J].电力系统自动化,2016,40(4):19-25.HU Yongqiang,CHEN Changsheng,ZHAO Shuqiang,et al.Classification of unstable modes under multi-frequency oscillation[J].Automation of Electric Power Systems,2016,40(4):19-25.
[12]刘怀东,张江红,刘沛龙,等.基于改进解析法的小范围动态安全域搜索方法[J].电力自动化设备,2012,32(2):29-33.LIU Huaidong,ZHANG Jianghong,LIU Peilong,et al.Small-range search of DSR based on improved analytical method[J].Electric Power Automation Equipment,2012,32(2):29-33.
[13]常安.解析法与拟合法相结合的小范围DSR快速搜索方法[D].天津:天津大学,2013.CHANG An.Small range rapid search method of DSR based on the combination of analytical method and fitting methods[D].Tianjin:Tianjin University,2013.
[14]李海涛.用于求解电力系统概率不安全指标的DSR小范围搜索方法[D].天津:天津大学,2008.LI Haitao.Small range searching method of dynamic security region for calculating probabilistic insecurity index[D].Tianjin:Tianjin University,2008.
[15]唐晓玲,李丕意,潘佩芳,等.基于概率不安全指标的暂态风险评估[J].电力系统保护与控制,2009,37(11):45-49.TANG Xiaoling,LI Piyi,PAN Peifang,et al.Transient risk assessment based on probabilistic insecurity index[J].Power System Protection and Control,2009,37(11):45-49.
[2]余贻鑫.安全域的方法学及实用性结果[J].天津大学学报,2003,36(5):525-528.YU Yixin.Methodology of security region and practical results[J].Journal of Tianjin University,2003,36(5):525-528.
[3]LIU Yanli,YU Yixin.Probabilistic steady-state and dynamic security assessment of power transmission system[J].Science China Technological Sciences,2013,56(5):1198-1207.
[4]王东涛,余贻鑫,付川.基于实用动态安全域的输电系统概率动态安全评估[J].中国电机工程学报,2007,27(7):29-33.WANG Dongtao,YU Yixin,FU Chuan.Practical dynamic security region based probabilistic dynamic security assessment of power transmission system[J].Proceedings of the CSEE,2007,27(7):29-33.
[5]刘怀东,崔晓君,张翠平,等.一种新的故障筛选和排序的方法[J].电力系统保护与控制,2016,44(18):75-80.LIU Huaidong,CUI Xiaojun,ZHANG Cuiping,et al.A new method of contingency screening and ranking[J].Power System Protection and Control,2016,44(18):75-80.
[6]刘怀东,马林,王曦冉,等.基于概率不安全指标的实时故障筛选策略[J].电力系统保护与控制,2015,43(16):16-21.LIU Huaidong,MA Lin,WANG Xiran,et al.Strategies of real time contingency screening based on probabilistic insecurity index[J].Power System Protection and Control,2015,43(16):16-21.
[7]刘怀东,陈彧,崔晓君,等.基于期望损失指标的电力系统故障筛选和排序[J].电力系统保护与控制,2016,44(14):8-13.LIU Huaidong,CHEN Yu,CUI Xiaojun,et al.Contingency screening and ranking based on dynamic security region of the power system[J].Power System Protection and Control,2016,44(14):8-13.
[8]张健,刘怀东.输电线路概率安全性测度研究[J].电力系统及其自动化学报,2003,15(6):34-36.ZHANG Jian,LIU Huaidong.The study of power system dynamic security measure considering the probability of line fault position and transition resistance[J].Proceedings of the CSU-EPSA,2003,15(6):34-36.
[9]高天亮.基于动态安全域的电力系统安全概率评估模型[D].天津:天津大学,2006.GAO Tianliang.A probabilistic power system dynamic security assessment model based on dynamic security region[D].Tianjin:Tianjin University,2006.
[10]ZENG Yuan,YU Yixin,WANG Hongmei,et al.Prediction of instability separation modes and its application in practical dynamic security region[J].Transactions of Tianjin University,2007,13(3):157-162.
[11]胡永强,陈长胜,赵书强,等.一种多频振荡场景下的失稳模式划分方法[J].电力系统自动化,2016,40(4):19-25.HU Yongqiang,CHEN Changsheng,ZHAO Shuqiang,et al.Classification of unstable modes under multi-frequency oscillation[J].Automation of Electric Power Systems,2016,40(4):19-25.
[12]刘怀东,张江红,刘沛龙,等.基于改进解析法的小范围动态安全域搜索方法[J].电力自动化设备,2012,32(2):29-33.LIU Huaidong,ZHANG Jianghong,LIU Peilong,et al.Small-range search of DSR based on improved analytical method[J].Electric Power Automation Equipment,2012,32(2):29-33.
[13]常安.解析法与拟合法相结合的小范围DSR快速搜索方法[D].天津:天津大学,2013.CHANG An.Small range rapid search method of DSR based on the combination of analytical method and fitting methods[D].Tianjin:Tianjin University,2013.
[14]李海涛.用于求解电力系统概率不安全指标的DSR小范围搜索方法[D].天津:天津大学,2008.LI Haitao.Small range searching method of dynamic security region for calculating probabilistic insecurity index[D].Tianjin:Tianjin University,2008.
[15]唐晓玲,李丕意,潘佩芳,等.基于概率不安全指标的暂态风险评估[J].电力系统保护与控制,2009,37(11):45-49.TANG Xiaoling,LI Piyi,PAN Peifang,et al.Transient risk assessment based on probabilistic insecurity index[J].Power System Protection and Control,2009,37(11):45-49.