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基于相轨迹MLE指标的暂态功角稳定在线辨识
作者:
作者单位:

(1. 电网智能化调度与控制教育部重点实验室(山东大学), 山东省济南市 250061; 2. 中国电力科学研究院, 北京市 100192)

摘要:

为实现暂态功角稳定的快速预判,提出一种利用动态系统最大李雅普诺夫指数(MLE)对相平面中转速差-功角差轨迹特性进行分析的暂态功角稳定在线辨识方法。首先,介绍了MLE稳定判断原理及求取方式。其次,以单机系统为例,从物理机理上严格分析了不同场景下转速差-功角差相轨迹变化特性与暂态功角稳定之间的关系。进而,在利用递推最小二乘算法改进MLE求取方式的基础上,结合相轨迹特性自动优选参数,给出了无需传统方法中预先确定MLE符号观测窗口的暂态功角稳定判据,形成在线辨识方法。最终,利用双机等值思想将方法推广到多机系统。仿真算例验证了方法的正确性与有效性,方法对一摆、多摆稳定判断问题均有效,并对发电机分群结果有较强的容错能力。

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基金项目:

国家自然科学基金资助项目(51477091);国家电网公司科技项目(XTT1-15-056)

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作者简介:


Online Identification for Transient Angle Stability Based on MLE Index of Phase Trajectory
Author:
Affiliation:

(1. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, China; 2. China Electric Power Research Institute, Beijing 100192, China)

Abstract:

In order to realize the transient angle stability prediction, an on-line transient stability identification method is proposed, in which the maximum Lyapunov exponent(MLE)of the dynamical system is used to analyze the characteristics of rotor speed difference-rotor angle difference in the phase plane. Firstly, MLE stability principle and calculation mechanism are described. Secondly, with the single machine system as an example, the relationship between rotor speed difference-rotor angle difference characteristics and transient angle stability in different scenarios is analyzed strictly from the perspective of physical mechanism. Furthermore, following an improvement of the MLE method by using the recursive least square algorithm(RLS)and the automatic optimization of parameters according to phase trajectory characteristics, the criteria of transient power angle stability is proposed, and the online identification method is formed. Finally, the method is extended to the multi-machine system by double machine equivalent. The simulation results of the New England 10-machine 39-node system verify the effectiveness of the method. The proposed method is valid for both first swing and multi-swing stability judgment problems, and has strong fault tolerance to generator grouping. This work is supported by National Natural Science Foundation of China(No. 51477091)and State Grid Corporation of China(No. XTT1-15-056).

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引用本文
[1]魏少攀,杨明,韩学山,等.基于相轨迹MLE指标的暂态功角稳定在线辨识[J].电力系统自动化,2017,41(16):71-79. DOI:10.7500/AEPS20170105007.
WEI Shaopan, YANG Ming, HAN Xueshan, et al. Online Identification for Transient Angle Stability Based on MLE Index of Phase Trajectory[J]. Automation of Electric Power Systems, 2017, 41(16):71-79. DOI:10.7500/AEPS20170105007.
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  • 收稿日期:2017-01-05
  • 最后修改日期:2017-06-23
  • 录用日期:2017-03-14
  • 在线发布日期: 2017-05-16
  • 出版日期: