Title: Using differential search algorithm for solving optimal frequency regulation problem in interconnected power system

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: In order to improve the frequency stability and control in an interconnected power system including various power generating units, the automatic generation control (AGC) needs to be more robust and efficient. On the other hand, the difficulties in AGC are not only to design a robust controller but it also to optimise its parameters effectively for a robust optimal solution. In this paper, an application of a new efficient optimisation method called the differential search algorithm (DSA) was proposed to solve the AGC problem. The proposed approach was applied to reach the proportional-integral-derivative (PID) controller parameters. This latter was used to maintain the frequency at nominal value using the integral time multiplied by absolute error (ITAE) as fitness function. To show the robustness of the proposed strategy, a four area interconnected electrical network was investigated for the simulation. The obtained DSA results were compared to other approaches available in literature. The simulation results of this research show that DSA strategy is able to solve AGC problem and achieve less frequency and tie-line power flow deviations than those determined by other methods used in this paper.

Keywords: automatic generation control; AGC; load frequency control; LFC; interconnected power system; optimal control; differential search algorithm; DSA.

DOI: 10.1504/IJBIC.2017.083719

International Journal of Bio-Inspired Computation, 2017 Vol.9 No.3, pp.182 - 195

Received: 19 Jan 2016
Accepted: 14 Jan 2017
Published online: 19 Apr 2017 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article