电力系统动态频率分区响应特征分析方法研究
Study on Space Distribution Characterization of Dynamic Frequency Behavior for Power System
DOI: 10.12677/JEE.2018.64036, PDF,    科研立项经费支持
作者: 刘红岩, 张明宇, 万信书, 林道鸿：海南电网有限责任公司电力科学研究院，海南 海口；吴 强：海南省电网理化分析重点实验室，海南 海口
关键词: 电力系统；动态频率；结构保持模型；耦合系数；耦合矩阵；相对增益矩阵；Power System； Dynamic Frequency Behavior； Structure Preserving Models； Interaction Coefficient； Interaction Array； Relative Gain Array (RGA)
摘要: 大规模电力系统动态频率响应具有明显的空间分布特征，深入研究与分析电力系统动态频率响应的时空分布特征对实现大规模复杂电力系统频率控制具有重要意义。本文在对多机电力系统动态频率过程分析的基础上，详细阐述和论证了大规模电力系统动态频率的分区响应特性。进而基于电力系统结构保持模型定义节点频率耦合系数，实现了节点间动态频率响应关联性的量化评估。利用节点频率耦合矩阵研究了大规模电力系统动态频率的分区响应特性，并提出了动态频率的分区响应同频区域辨识的动态分割方法。仿真分析结果表明：本文定义的动态频率耦合矩阵较好的反映了节点间的动态频率的关联程度，分割所得区域内的动态频率同步度较高。
Abstract: The dynamic frequency responses of large scale power system show notable space-time distribution characterization; deep analysis on the dynamic frequency behavior is of great significance for emergency frequency control in power system. Based on the analysis on the dynamic frequency responses of multi-machine system, interaction array for dynamic frequency of generator and bus was defined respectively in this paper. The qualitative analysis of interaction between buses was made at the same time. By using the decomposed interaction array, the space distribution feature was analyzed for large scale power system. The simulation results show that the synchrony between generators and between buses in the same sub-area obtained by employing decomposed interaction array is very high.
文章引用：刘红岩, 吴强, 张明宇, 万信书, 林道鸿. 电力系统动态频率分区响应特征分析方法研究[J]. 电气工程, 2018, 6(4): 311-324. https://doi.org/10.12677/JEE.2018.64036

参考文献

[1] 尹积军. 支持特高压互联电网安全运行的供需友好互动技术研究[J]. 中国电机工程学报, 2016, 36(21): 5715-5723+6013.
[2] 国家电力调度通信中心. 电网典型事故分析[M]. 北京: 中国电力出版社, 2009: 179-193.
[3] 张怀宇, 黄应强, 刘少博. 电力系统频率动态的机理分析及仿真研究[J]. 电工技术, 2018(11): 24-28.
[4] 熊小伏, 周永忠, 周家启. 计及负荷频率特性的低频减载方案研究[J]. 中国电机工程学报, 2005, 25(19): 48-51
[5] 袁季修. 防止电力系统频率崩溃的紧急控制[J]. 电力自动化设备, 2002, 22(4): 1-4.
[6] 张恒旭, 刘玉田, 薛禹胜. 考虑累积效应的频率偏移安全性量化评估[J]. 电力系统自动化, 2010(24): 5-10.
[7] Denis, L. (2006) A general-Order System Frequency Response Model Incorporating Load Shedding: Analytic Modeling and Applications. IEEE Transactions on Power Systems, 21, 709-717. [Google Scholar] [CrossRef] 
[8] 闵勇. 复杂扩展式电力系统中功率–频率动态过程的分析及低频减载装置整定[D]: [博士学位论文]. 北京: 清华大学, 1991.
[9] 张恒旭, 刘玉田. 电力系统动态频率响应时空分布特征量化描述[J]. 中国电机工程学报, 2009, 29(7): 64-70.
[10] Tsai, S.S., Zhang, L., Phadke, A.G., et al. (2004) Study of Global Frequency Dynamic Behavior of Large Power Systems. IEEE PES Power Systems Conference and Exposition, New York, USA, 1, 328-335.
[11] Tsai, S.-J., Zhang, L., Phadke, A.G., et al. (2007) Frequency Sensitivity and Electromechanical Propagation Simulation Study in Large Power Systems. IEEE Transactions on Circuits and Systems I: Regular Papers, 54, 1819-1828. [Google Scholar] [CrossRef] 
[12] Wan, Y. and Milano, F. (2018) Nonlinear Adaptive Excitation Control for Structure Preserving Power Systems. IEEE Transactions on Power Systems, 33, 3107-3117. [Google Scholar] [CrossRef] 
[13] He, M.-J., Cai, W.-J. and Wu, B.-F. (2006) Control Structure Selection Based on Relative Interaction Decomposition. International Journal of Control, 79, 1285-1296. [Google Scholar] [CrossRef] 
[14] Anderson, P.M. and Fouad, A.A. (2003) Power System Control and Stability. 2nd Edition. Wiley-IEEE Press, UAS.
[15] 蔡国伟, 穆钢, K.W. Chan, 等. 基于网络信息的暂态稳定性定量分析: 支路势能法[J]. 中国电机工程学报, 2004, 24(5): 1-6.
[16] Cai, G.W., Chan, K.W., Yuan, W.P., et al. (2007) Identification of the Vulnerable Transmission Segment and Cluster of Critical Machines Using Line Transient Potential Energy. Electrical Power and Energy System, 29, 199-207.
[17] Bristol, E.H. (1996) On a New Measure of Interaction for Multivariable Process Control. IEEE Transactions on Automatic Control, AC-11, 133-134.
[18] 王雨蓬, 马昭彦. 电力系统的动态分割[J]. 中国电机工程学报, 2001, 21(12): 45-49.
[19] Sun, K., Zheng, D.Z. and Lu, Q. (2003) Splitting Strategies for Islanding Operation of Large-Scale Power Systems Using OBDD-Based Methods. IEEE Transactions on Power Systems, 18, 912-923. [Google Scholar] [CrossRef]