Development of Slime Mold Optimizer with Application for Tuning Cascaded PD-PI Controller to Enhance Frequency Stability in Power Systems

Slim Abid, Ali M. El-Rifaie (), Mostafa Elshahed (), Ahmed R. Ginidi, Abdullah M. Shaheen, Ghareeb Moustafa and Mohamed A. Tolba
Additional contact information
Slim Abid: Electrical Engineering Department, Jazan University, Jazan 45142, Saudi Arabia
Ali M. El-Rifaie: College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
Mostafa Elshahed: Electrical Engineering Department, Engineering and Information Technology College, Buraydah Private Colleges, Buraydah 51418, Saudi Arabia
Ahmed R. Ginidi: Department of Electrical Power Engineering, Faculty of Engineering, Suez University, Suez 43533, Egypt
Abdullah M. Shaheen: Department of Electrical Power Engineering, Faculty of Engineering, Suez University, Suez 43533, Egypt
Ghareeb Moustafa: Electrical Engineering Department, Jazan University, Jazan 45142, Saudi Arabia
Mohamed A. Tolba: Reactors Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo 11787, Egypt

Mathematics, 2023, vol. 11, issue 8, 1-32

Abstract: Multi-area power systems (MAPSs) are highly complex non-linear systems facing a fundamental issue in real-world engineering problems called frequency stability problems (FSP). This paper develops an enhanced slime mold optimization algorithm (ESMOA) to optimize the tuning parameters for a cascaded proportional derivative-proportional integral (PD-PI) controller. The novel ESMOA proposal includes a new system that combines basic SMO, chaotic dynamics, and an elite group. The motion update incorporates the chaotic technique, and the exploitation procedure is enhanced by searching for a select group rather than merely the best solution overall. The proposed cascaded PD-PI controller based on the ESMOA is employed for solving the FSP in MAPSs with two area non-reheat thermal systems to keep the balance between the electrical power load and the generation and provide power system security, reliability, and quality. The proposed cascaded PD-PI controller based on the ESMOA is evaluated using time domain simulation to minimize the integral time-multiplied absolute error (ITAE). It is evaluated in four different test situations with various sets of perturbations. For tuning the cascaded PD-PI controller, the proposed ESMOA is compared to the golden search optimizer (GSO) and circle optimizer (CO), where the proposed ESMOA provides the best performance. Furthermore, the findings of the proposed cascaded PD-PI controller based on the ESMOA outperform previous published PID and PI controllers adjusted using numerous contemporary techniques.

Keywords: load frequency control; cascaded proportional derivative-proportional integral (PD-PI) controller; slime mold optimization algorithm; PID controller (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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