Design of Harmony Search Algorithm Based Tuned Fuzzy Logic Power System Stabilizer

Dhanesh Kumar Sambariya; Rajendra Prasad

doi:10.15866/iree.v8i5.2117

Design of Harmony Search Algorithm Based Tuned Fuzzy Logic Power System Stabilizer

Dhanesh Kumar Sambariya^(1*), Rajendra Prasad⁽²⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iree.v8i5.2117

Abstract

In this paper, a robust Harmony Search Algorithm tune Type-1 fuzzy logic power system stabilizer (HSFPSS) is designed. The fuzzy logic controller lacks the mathematical reasoning & the performance is reviewed by transient response of the closed-loop system. A small-signal model of the fuzzy logic power system stabilizer (FPSS) is derived to optimize the scaling factors using Harmony Search Algorithm (HSA). The derived such a small signal model of FPSS is proven to be a Proportional Derivative controller. The parameters of the PD controller are considered as the normalized factors of the FPSS & are tuned using HSA. The simulations over the wide range of operating conditions of the power system are carried out to show the superiority of the proposed controller.
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Keywords

Small Signal Stability; Fuzzy Logic PSS; Harmony Search Algorithm; Scaling Factor Tuning of FPSS

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