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A Novel Nature-Inspired Improved Grasshopper Optimization-Tuned Dual-Input Controller for Enhancing Stability of Interconnected Systems

Shivakumar Rangasamy

https://orcid.org/0000-0002-8042-3374

Department of Electrical and Electronics Engineering, Sona College of Technology, Salem 636005, Tamil Nadu, India

E-mail Address: [email protected]

Corresponding author.

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and

Yamuna Kuppusami

Department of Electrical and Electronics Engineering, Sona College of Technology, Salem 636005, Tamil Nadu, India

E-mail Address: [email protected]

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https://doi.org/10.1142/S0218126621501346Cited by:8 (Source: Crossref)

Abstract

Power system often experiences the problem of low-frequency electromechanical oscillations which leads the system to unstable condition. The problem can be corrected by implementing power system stabilizers (PSSs) in the excitation control system of alternator. This paper provides a novel and efficient approach to design an Improved Grasshopper Optimization Algorithm (IGOA)-based dual-input controller to damp the inter-area-mode power system oscillations. A three-fold optimization criterion has been formulated to calculate the optimum values of the controllers required for power system stability. The damping performance of the proposed controller is compared with conventional PSS and genetic algorithm-based controllers to validate the better performance of the proposed IGOA-based controller under various system loading conditions and disturbances.

This paper was recommended by Regional Editor Tongquan Wei.

Keywords:

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