计及随机性的电网低频振荡实时修正控制研究

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Abstract The main research of this paper is the real-time stability of the system with low frequency oscillation in power system. This paper analyzes the change of the probability distribution of the damping ratio in the case of the randomness, and the calculation method is derived. Based on probability damping ratio and damping ratio sensitivity, control measures have been quantified, in order to determining the optimal control measures, which include control location and amount. The simulation was carried out in two area four machine system, in which the validity of the real time correction control is verified. The method proposed in this paper can effectively suppress the oscillation mode of the system, in which the randomness is considered compared with traditional control measures.

Key words： cumulant probability analysis low frequency oscillation characteristic root sensitivity

Published: 24 February 2017

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	Articles by authors
	Zong Pengpeng
	Wang Peixiu
	Yan Jihong
	Yang Qinchen
	Wu Jianchao

Cite this article:

Zong Pengpeng,Wang Peixiu,Yan Jihong等. Real Time Correction Control of Low Frequency Oscillation in Power System with Randomness[J]. Electrical Engineering, 2017, 18(2): 25-30.

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http://dqjs.cesmedia.cn/EN/Y2017/V18/I2/25

[1] 田立峰, 李成鑫, 刘俊勇. 电网低频振荡在线可视化监视的理论和实现[J]. 电力自动化设备, 2010, 30(5): 28-33.
[2] 郑伟, 鲍颜红, 彭慧敏, 等. 基于受扰轨迹模式分析的动态稳定辅助决策[J]. 电力系统保护与控制, 2013(4): 79-83.
[3] 陈磊, 陈亦平, 戴远航, 等. 基于WAMS的南方电网低频振荡调度应对策略[J]. 南方电网技术, 2013(4): 12-18.
[4] 李安娜, 吴熙, 蒋平, 等. 基于形态滤波和Prony算法的低频振荡模式辨识的研究[J]. 电力系统保护与控制, 2015(3): 137-142.
[5] Pourbeik P. Gibbard M J. Simultaneous coordination of power system stabilizers and FACTS device stabilizers in a multi machine power system for enhancing dynamic performance[J]. Power Systems IEEE Transactions, 1998, 13(2).
[6] 陈中. 电力系统小干扰稳定实时控制[J]. 电力自动化设备, 2012, 32(3): 42-46.
[7] 周崇雯, 罗骏, 汪芳宗, 等. 基于不完全S变换的低频振荡可视化实时监测方法[J]. 电力系统保护与控制, 2015(24): 63-68.
[8] 谢志棠, 宗秀红, 钟志勇, 等. 计及FACTS装置的概率特征根分析[J]. 电力自动化设备, 2004, 24(8): 13-17.
[9] Rueda J L, Colome D G. Probabilistic performance indexes for smallsignal stability enhancement in weak wind-hydro-thermal power systems[J]. IET Generation, Transmission and Distribution, 2009, 3(8): 733-747.
[10] Krause G. From turbine toand spin-off products[M]. India: wind farms: technical requirements In Tech, 2011.
[11] 周明, 元博, 张小平, 等. 基于SDE的含风电电力系统随机小干扰稳定分析[J]. 中国电机工程学报, 2014(10): 1575-1582.
[12] 王克文, 谢志棠, 史述红, 等. 基于概率特征根分析的电力系统稳定器参数设计[J]. 电力系统自动化, 2001, 25(11): 20-23.
[13] Zhang P, Lee S T. Probabilistic load flow computationusing the method of combined cumulants and Gram-Charlier expansion[J]. IEEE Transactions on Power Systems, 2004, 19(1): 676-682.
[14] 石东源, 蔡德福, 陈金富, 等. 计及输入变量相关性的半不变量法概率潮流计算[J]. 中国电机工程学报, 2012, 32(28): 104-113.
[15] 苏展, 徐谦, 孙黎滢, 等. 含DFIG的电力系统随机建模及小干扰随机稳定分析[J]. 电网技术, 2015, 39(9): 2404-2410.
[16] 岳昊. 考虑并网风电随机波动的电力系统小干扰概率稳定研究[D]. 北京: 华北电力大学, 2014.
[17] 门锟, 吴超, 涂亮, 等. 互联电网功率振荡辨识方法应用研究[J]. 深圳大学学报(理工版), 2014(3): 299-306.
[18] 赵红生, 刘源, 陈伟彪, 等. 互联电力系统联络线功率波动机理及其扰动概率分析[J]. 电力系统保护与控制, 2015, 43(14): 1-9.