采用“分区+搜索”模式的大电网最优解列断面搜索方法
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摘要
针对大电网受到大扰动失稳后失步崩溃前应及时进行解列的问题,提出一种"分区+搜索"模式的最优解列断面搜索方法。该方法首先选择扰动前后各节点电压幅值和相角的变化量作为特征量,采用模糊C均值聚类算法将电网结构分为稳定区域、扰动区域和解列区域。然后以最小潮流冲击为目标函数,采用Edmonds-Karp算法和Dijkstra算法在解列区域求解出最优解列断面。该方法不需要对电网结构进行化简计算,且计算复杂度较低,可以在线获得最优解列断面。通过对IEEE 118节点系统和某实际大电网系统进行仿真计算,并与现有方法进行对比,证明了该方法的有效性和快速性。
A method of optimal partitioning selection scheme based on "partition + searching"is proposed for the timely controlled islanding of instable large-scale power system. Firstly,the variation quantity of voltage amplitude and phase angle are used as feature vector,and the power grid structure is divided into stability region,disability region and islanding region by fuzzy C-means algorithm. Then,the Edmonds-Karp algorithm and Dijkstra algorithm are used to calculate the optimal partitioning section with the objective of minimum power flow impact. This method needs no reduction of the whole power network with lower computation complexity. Therefore,the optimal section can be obtained online. Simulation results compared with traditional methods on the IEEE-118 node system and a reality power grid prove that this partitioning scheme is correct,effective and fast.
A method of optimal partitioning selection scheme based on "partition + searching"is proposed for the timely controlled islanding of instable large-scale power system. Firstly,the variation quantity of voltage amplitude and phase angle are used as feature vector,and the power grid structure is divided into stability region,disability region and islanding region by fuzzy C-means algorithm. Then,the Edmonds-Karp algorithm and Dijkstra algorithm are used to calculate the optimal partitioning section with the objective of minimum power flow impact. This method needs no reduction of the whole power network with lower computation complexity. Therefore,the optimal section can be obtained online. Simulation results compared with traditional methods on the IEEE-118 node system and a reality power grid prove that this partitioning scheme is correct,effective and fast.
引文
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[9]倪敬敏,沈沉,李颖,等.主动解列控制中电网弱连接的一种在线识别方法[J].中国电机工程学报,2011,31(4):24-30.Ni Jingmin,Shen Chen,Li Ying,et al. An On-line Weak-connection Identification Method for Controlled Islanding of Power System[J]. Proceedings of the CSEE,2011,31(4):24-30.
[10]Wang X,Vittal V. System islanding using minimal cutsets with minimum net flow[C]. Power Systems Conference and Exposition,2004.IEEE PES. IEEE,2004:379-384 vol. 1.
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[12]廖清芬,王乙斐,唐飞,等.大电网互联格局下的解列断面双阶段搜索方法[J].高电压技术,2015,41(3):739-746.
[13]乔颖,沈沉,卢强.大电网解列决策空间筛选及快速搜索方法[J].中国电机工程学报,2008,28(22):23-28.
[14]Liu L,Liu W,Cartes D A,et al. Slow coherency and Angle Modulated Particle Swarm Optimization based islanding of large-scale power systems[J]. International Journal of Computer Science&Applications,2007,23(1):45-56.
[15]王乙斐,唐飞,廖清芬,等.带连通性约束的蚁群优化算法主动解列断面求解策略[J].电力系统及其自动化学报,2016,28(9):56-62.
[16]Zhang D Q,Chen S C. Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm[J]. Neural Processing Letters,2003,18(3):155-162.
[17]唐飞,贾骏,刘涤尘,等.一种考虑发电机同调分群的大电网快速主动解列策略[J].电工技术学报,2016,31(17):32-40.
[2]张富春,周凯,史添,等.电力系统连锁故障快速预测方法研究[J].电测与仪表,2016,53(23):45-50.Zhang Fuchun,Zhou Kai,Shi Tian,et al. Research on fast forecasting method for power system cascading failures[J]. Electrical Measurement&Instrumentation,2016,53(23):45-50.
[3]宋洪磊,吴俊勇.基于广域量测信息的电力系统主动解列控制研究综述[J].电网技术,2013,37(12):3467-3474.Song Honglei,Wu Junyong. A Summarization of Research on Wide-Area Measurement Information Based Power System Controlled Islanding[J]. Power System Technology,2013,37(12):3467-3474.
[4]王乙斐,刘涤尘,廖清芬.基于“搜索+优化”的主动解列断面选择方法[J].电力自动化设备,2015,35(8):53-58.Wang Yifei,Liu Dichen,Liao Qingfen. An Islanding Surface SelectionMethod Based on “Searching+Optimizing”[J]. Electric Power Automation Equipment,2015,35(8):53-58.
[5]王乙斐,唐飞,刘涤尘,等.基于Dijkstra算法的最优解列断面快速搜索方法[J].电力自动化设备,2015,35(4):126-131.Wang Yifei,Tang Fei,Liu Dichen,et al. Quick search of optimal splitting surface based on Dijkstra algorithm[J]. Electric Power Automation Equipment,2015,35(4):126-131.
[6] Sun K,Zheng D Z,Lu Q. Splitting strategies for islanding operation of large-scale power systems using OBDD-based methods[J]. IEEE Transactions on Power Systems,2003,18(2):912-923.
[7] Xu G,Vittal V. Slow Coherency Based Cutset Determination Algorithm for Large Power Systems[J]. IEEE Transactions on Power Systems,2010,25(2):877-884.
[8]林济铿,李胜文,吴鹏,等.电力系统最优主动解列断面搜索模型及算法[J].中国电机工程学报,2012,32(13):86-94.Lin Jikeng,Li Shengwen,Wu Peng,et al. Model and Algorithm for the Optimal Controlled Partitioning of Power Systems[J]. Proceedings of the CSEE,2012,32(13):86-94.
[9]倪敬敏,沈沉,李颖,等.主动解列控制中电网弱连接的一种在线识别方法[J].中国电机工程学报,2011,31(4):24-30.Ni Jingmin,Shen Chen,Li Ying,et al. An On-line Weak-connection Identification Method for Controlled Islanding of Power System[J]. Proceedings of the CSEE,2011,31(4):24-30.
[10]Wang X,Vittal V. System islanding using minimal cutsets with minimum net flow[C]. Power Systems Conference and Exposition,2004.IEEE PES. IEEE,2004:379-384 vol. 1.
[11]Shen C,Wu X,Wu J,et al. An Efficient Method of Network Simplification for Islanding Control Studies of Power Systems[C]. Power System Technology, 2006. PowerCon 2006. International Conference on.IEEE,2006:1-6.
[12]廖清芬,王乙斐,唐飞,等.大电网互联格局下的解列断面双阶段搜索方法[J].高电压技术,2015,41(3):739-746.
[13]乔颖,沈沉,卢强.大电网解列决策空间筛选及快速搜索方法[J].中国电机工程学报,2008,28(22):23-28.
[14]Liu L,Liu W,Cartes D A,et al. Slow coherency and Angle Modulated Particle Swarm Optimization based islanding of large-scale power systems[J]. International Journal of Computer Science&Applications,2007,23(1):45-56.
[15]王乙斐,唐飞,廖清芬,等.带连通性约束的蚁群优化算法主动解列断面求解策略[J].电力系统及其自动化学报,2016,28(9):56-62.
[16]Zhang D Q,Chen S C. Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm[J]. Neural Processing Letters,2003,18(3):155-162.
[17]唐飞,贾骏,刘涤尘,等.一种考虑发电机同调分群的大电网快速主动解列策略[J].电工技术学报,2016,31(17):32-40.