Title: Design of intelligent load frequency control strategy using optimal fuzzy-PID controller

Authors: Nour El Yakine Kouba; Mohamed Menaa; Mourad Hasni; Mohamed Boudour

Addresses: Laboratory of electrical and industrial systems (LSEI), University of Sciences and Technology Houari Boumediene, USTHB, BP 32 El Alia, 16111, Bab Ezzouar, Algiers, Algeria ' Laboratory of electrical and industrial systems (LSEI), University of Sciences and Technology Houari Boumediene, USTHB, BP 32 El Alia, 16111, Bab Ezzouar, Algiers, Algeria ' Laboratory of electrical and industrial systems (LSEI), University of Sciences and Technology Houari Boumediene, USTHB, BP 32 El Alia, 16111, Bab Ezzouar, Algiers, Algeria ' Laboratory of electrical and industrial systems (LSEI), University of Sciences and Technology Houari Boumediene, USTHB, BP 32 El Alia, 16111, Bab Ezzouar, Algiers, Algeria

Abstract: This paper proposes a robust control strategy involving a novel optimised fuzzy-PID controller tuning by particle swarm optimisation (PSO) algorithm. The proposed control strategy was suggested to design an intelligent load frequency control (LFC) scheme in multi-area interconnected power system. The PSO algorithm was employed to optimise the fuzzy-PID controller parameters including the scaling factors of fuzzy logic and the PID controller gains for minimisation of both system frequency deviation and tie-line power changes during load disturbances using the integral time multiply absolute error (ITAE) as objective function. To demonstrate the effectiveness of the proposed control strategy, the three-area 9-unit interconnected power system was used for the simulation. The superiority of the proposed approach was shown by comparing the obtained results to other strategies available in literature. Initially, the simulation was performed using the same controllers in each area, and then was extended with different controllers in each area. The comparative study demonstrates the potential of the proposed control strategy and shows its robustness to enhance frequency stability.

Keywords: load frequency control; LFC; multi-area control; PID control; controller design; optimal control; particle swarm optimisation; PSO; fuzzy logic controllers; FLC; fuzzy control; intelligent control; robust control; load disturbances; simulation; interconnected power systems.

DOI: 10.1504/IJPSE.2016.081207

International Journal of Process Systems Engineering, 2016 Vol.4 No.1, pp.41 - 64

Received: 15 Apr 2016
Accepted: 27 Jul 2016
Published online: 27 Dec 2016 *