JCMPS

HPSOSSA: Enhancement of Dynamic Stability by Optimal Placement of UPFC

Abstract

This paper proposes a hybrid approach on the basis of the Optimal Positioning and Sizing (OPAS) to enhance the dynamic stability for Unified Power Flow Controller (UPFC). Moreover, the maximum power loss bus is recognized during the optimum positioning by putting the UPFC, as the generator outage have effects on the power flow constraints namely voltage, real and reactive power flow, and loss of power. By exploiting the Particle Swarm Optimization (PSO) method, the optimum position is determined. According to violated power flow quantities, the Salp Swarm Algorithm (SSA) optimizes, which is necessary for UPFC quantity in order to get better initial operating circumstance. Subsequently, the proposed and conventional methods are simulated in the MATLAB platform and the performance of the proposed approach is examined by comparing conventional approaches like Genetic Algorithm (GA), PSO, and Artificial Bee Colony (ABC). Finally, the results revealed that the performance of the proposed approach is enhanced and validate it’s possible to resolve the crisis.

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