Design of Hybrid Power System Stabilizer for Dynamic Stability Improvement Using Soft Computing Techniques

Abstract

Designing a robust power transmission network entails navigating the complex scenario newlineof the power system s complexity. Within this complexity lies the challenge of newlinemaintaining stability in the face of faults, which can trigger disruptive transients newlinecascading through the entire system. These transients manifest as oscillations in phase newlineangle, deteriorating power quality and potentially culminating in system failure, causing newlinedamage to generators. To mitigate these unstable oscillations, the implementation of newlinestabilizers becomes imperative, generating compensatory signals to counteract the newlineharmonics induced by instability. This study delves into the exploration of various newlinestabilizers aimed at reducing oscillations stemming from minor disturbances. The newlineresearch unfolds in three distinctive phases, each dissecting specific facets of the inquiry. newlineThe first phase introduces a controller leveraging the Proportional-Integral-Derivative newline(PID) methodology tailored for the Single Machine Infinite Bus (SMIB) power system, newlineintegrated into the General Purpose Simulation System (GPSS). GPSS stands as a widely newlineembraced tool for discrete event simulation, renowned for its adeptness in modelling newlinecomplex systems. The SMIB system, a recognized benchmark for power system stability newlineassessment, serves as the testing ground, with the PID controller emerging as a prevalent newlinestrategy for stabilization. The proposed methodology revolves around fine-tuning PID newlinecontroller parameters utilizing the Hybrid Butterfly-Particle Swarm Optimization newline(HBPSO) algorithm. This optimization technique aims to augment stability and damping newlineperformance across diverse operational spectrums. Simulation experiments conducted newlinewithin the GPSS environment capture the intricate and nonlinear dynamics of the power newlinesystem. Through various simulation scenarios, the efficacy of the proposed technique newlinebecomes evident, showcasing the prowess of the PID controller optimized through the newlinexxi newlineHBPSO algorithm in achieving desired stability and damping objectives. This approach newlineheralds a promising trajectory for PID controller parameter optimization within the newlineGPSS-connected SMIB power system, ultimately bolstering power system stability and newlinereliability. newline