A Novel Optimal Combined Fuzzy PID Controller Employing Dragonfly Algorithm for Solving Automatic Generation Control Problem

Abstract

In this paper, a novel optimal combined fuzzy PID controller employing Dragonfly Algorithm (DA) was proposed for solving Automatic Generation Control (AGC) problem in interconnected power systems. The DA algorithm was employed in this work to optimize the controller parameters including the scaling factors of fuzzy logic and the PID gains. To show the potential of the proposed approach, initially, a two equal areas non-reheat thermal power system was investigated, and then the proposed approach was extended to a typical AC/DC two-area multisource power system connected via an AC tie-line as well as High Voltage Direct Current (HVDC) transmission link. The superiority of the proposed controller was proven by comparing the obtained results with the previous AGC techniques reported in the literature. Moreover, sensitivity analysis was done. Further, the proposed control strategy was also extended to a nonlinear three-area thermal power system model by considering the effect of appropriate Generation Rate Constraint (GRC) with nonlinearity in each area. Finally, the results were tabulated in terms of settling time and peak overshoot. The comparative study demonstrates the effectiveness of the proposed control strategy and shows its robustness to enhance frequency regulation loop of linear and nonlinear interconnected power systems.

Keywords:

• Automatic Generation Control
• Dragonfly Algorithm
• fuzzy logic controller
• Generation Rate Constraint
• Load Frequency Control
• PID controller

Additional information

Notes on contributors

Nour EL Yakine Kouba

Nour EL Yakine KOUBA was born in Algiers, Algeria, in 1990. He received the Master and PhD degrees in Electrical Engineering from Faculty of Electrical Engineering & Computing; University of Sciences & Technology Houari Boumediene of Algiers in 2012 and 2017, respectively. Currently, he is an Associate Professor in electrical power engineering at the electrical engineering department, USTHB. He is a member of the Association of Science and Electrical Technologies (ASTE) since 2014. His current research includes Power System Stability and Control, Automatic Generation Control (AGC), FACTS devices, PID Controller, Optimization Techniques, Storage system and Renewable Energy.

Mohamed Menaa

Mohamed Menaa was born in Algiers, Algeria, on December 14, 1971. He received the Ing and M.S. Degrees in electrical engineering from Houari Boumediene University of Sciences and Technology “USTHB”, and he received the PhD degree from Algiers Polytechnic School, Algiers, Algeria in 2007. Currently, he is a Full Professor in electrical power engineering at the electrical engineering department, USTHB. His research interests include Modeling and control of electric systems, Identification and sensorless control, Renewable energy, Spiral vector theory.

Mourad Hasni

Mourad Hasni received the Engineer, Master and Doctorate degrees in Electrical Engineering in 1991, 1996 and 2007 respectively from National Polytechnic School of Algiers. Currently M. HASNI is professor in Electrical Engineering Department at Houari Boumediene University of sciences and technology (USTHB, Algiers, Algeria). His research interests are in modeling, parameter estimation, fault detection of electrical machines and Power Systems.

Mohamed Boudour

Mohamed Boudour received the B.Sc, M.Sc and PhD in Electrical Engineering from the Polytechnic School of Algiers in 1991, 1994 and 2004, respectively. Since January 1994, he has been with the University of Sciences and Technology Houari Boumediene of Algiers (USTHB) as a teacher and researcher. He was awarded as a Fulbright fellowship in the University of Washington, Seattle (USA) from 2005-2006. He is a member of the executive committee of ARELEC (Algerian CIGRE) and IEEE Senior Member since 2007. His main interests are power systems stability and control using intelligent programming, integration of renewable energy sources in smart grids. He is currently the Director of Electrical and Industrial System Laboratory.