Transient Stability Enhancement of Grid Integrated Wind Energy Using Particle Swarm Optimization Based Multi-Band PSS4C

Abstract

There is a growing need for stability enhancement in modern electrical networks integrated with wind energy, particularly due to different oscillation modes disturbances. Power system stabilizers (PSSs) are used to mitigate oscillations and improve the stability of the power system. This paper presents a comprehensive analysis of single-band PSS1A and multi-band PSS4C (MB-PSS4C) connected to the ST1A excitation system. An efficient approach in the selection of the parameters of MB-PSS4C using Particle Swarm Optimization (PSO) is proposed. A comparative investigation linked to the common Pattern Search and Simplex Search, from previous work, has been conducted to gauge the efficacy of PSO. The generator's transient stability with considerations of relative power angle (power angle differences), speed deviation, and active power of synchronous generators (SGs) are analyzed. Different wind penetration levels ranging from 36MW to 108 MW are integrated into the network and are investigated. Results demonstrate that PSO-MB-PSS4C connected to ST1A stabilizes the system effectively with reduced settling time while mitigating the peak power angle differences of SGs. Reduced settling time of 1.35 s is observed for wind penetration of 48 MW, with 43.31 ͦ peak power angle; while for high wind penetration of 108 MW, the settling time is around 8 s with peak power angle of 43.9 ͦ .

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