Tuning Approach for Power System Stabilizer PSS4B using Hybrid PSO

2018 2nd International Conference on Power and Energy Engineering

Guo, Siyuan^1 ; Zhang, Shoushou^2 ; Song, Junying^3 ; Zhao, Yongsheng^1 ; Zhu, Weijun^1

State Grid Hunan Electric Power Company Limited Research Institute, Changsha

410007, China^1

Bangor College, Central South University of Forestry and Technology, Changsha

410018, China^2

State Grid Hunan Electric Power Company Limited, Changsha

410004, China^3

关键词: Different frequency;    Effective damping;    Particle swarm optimization algorithm;    Phase compensation;    Phase-frequency characteristics;    Power System Stabilizer;    Time-domain dynamics;    Ultra low frequencies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/192/1/012039/pdf
DOI  :  10.1088/1755-1315/192/1/012039

来源: IOP

【 摘 要 】

As a multi-band PSS, PSS4B draws wide attention for its great potential in constraining the ultra-low frequency oscillations. In this paper, the crossbreed operation in genetic algorithm is introduced to particle swarm optimization (PSO) algorithm to form a hybrid PSO, so as to optimize PSS4B parameters. According to the single machine infinite system model, the phase frequency characteristic of excitation system without compensation is calculated by Heffron-Philips model. Based on phase frequency characteristic, the PSS4B parameters are tuned and excellent phase compensation effect is obtained. In Matlab/Simulink platform, the time domain dynamic response without PSS, adding PSS2B and PSS4B is compared and analyzed in detail. Simulation results show that the optimized PSS4B can provide effective damping in different frequency bands and have strong applicability.