DE-Algorithm-Optimized Fuzzy-PID Controller for AGC of Integrated Multi Area Power System with HVDC Link

Solomon Feleke, Raavi Satish, Workagegn Tatek, Almoataz Y. Abdelaziz and Adel El-Shahat ()
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Solomon Feleke: Department of Electrical and Computer Engineering, DebreBerhan University, DebreBerhan 445, Ethiopia
Raavi Satish: Department of Electrical & Electronics Engineering, Anil Neerukonda Institute of Technology and Science (A), Visakhapatnam 531162, India
Workagegn Tatek: Department of Electrical and Computer Engineering, DebreBerhan University, DebreBerhan 445, Ethiopia
Almoataz Y. Abdelaziz: Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Adel El-Shahat: Energy Technology Program, School of Engineering Technology, Purdue University, West Lafayette, IN 47906, USA

Energies, 2022, vol. 15, issue 17, 1-21

Abstract: A power system’s nonlinearity and complexity increase from time to time due to increases of power demand. Therefore, properly designed power system controlsare required. Without these, system instability will cause equipment failures, and possibly even cascading events and blackouts. To cope with this, intelligent controllers using soft computing are necessary for real time operation. In this paper, the reheat type three-area thermal power system is considered, and the output scaling factors, gain parameters of fuzzy membership functions, and parameters of fuzzy-proportional integral derivative (FPID) controllers are optimized using a differential evolution (DE) optimization techniqueand integral time multiplied absolute error (ITAE) as objective functions. To improve the limitations of the controller and to enhance stability of the system, high voltage direct current (HVDC) technology is advantageous due to its quickresponse capabilities. In this paper, a HVDC is connected in parallel to the system, revealing that a FPID controller with a HVDC provides better and more accurate resultscompared to a system without a controller. The test results presented in this paper show the proposed controller’s suitability for managing random load changes.

Keywords: AGC; area control error; fuzzy; PID; differential evolution; HVDC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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