Parameter Optimization of Power System Stabilizer for Suppressing Frequency Oscillation

被引:0
|
作者
Li Q. [1 ,2 ]
Wu C. [3 ]
Chen L. [1 ,2 ]
Duan R. [3 ]
Huang W. [3 ]
Min Y. [1 ,2 ]
机构
[1] Department of Electrical Engineering, Tsinghua University, Beijing
[2] State Key Lab of Control and Simulation of Power Systems and Generation Equipment, Tsinghua University, Beijing
[3] Power Dispatching and Control Center of Yunnan Power Grid Co., Ltd., Kunming
基金
国家重点研发计划;
关键词
Parameter optimization; Particle swarm optimization (PSO); Power system stabilizer (PSS); Ultra-low frequency oscillation;
D O I
10.7500/AEPS20190803005
中图分类号
学科分类号
摘要
Ultra-low frequency oscillation is a small disturbance stability problem in the active frequency control process. Power system stabilizer (PSS), which is traditionally used to suppress low frequency oscillations, can also be used to suppress frequency oscillations due to load voltage regulation effects that cause the coupling of reactive voltage control and active frequency control. A method for selecting the PSS which can suppress frequency oscillations in a multi-machine system is proposed. This method combines the effects of PSS on low-frequency oscillation and frequency oscillation. A PSS parameter optimization model considering frequency oscillation suppression is constructed. The model still uses the damping ratio of the low-frequency oscillation mode as the optimization target, but adds the phase requirement of the generator excitation system in the corresponding band of the frequency oscillation as a constraint to ensure that the unit excitation system provides sufficient positive damping for the frequency oscillation. The particle swarm optimization algorithm is used to solve the model to obtain PSS optimization parameters. The effectiveness of the proposed method is verified by the simulation results. © 2020 Automation of Electric Power Systems Press.
引用
收藏
页码:93 / 99
页数:6
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