Disturbance Rejection-Based Optimal PID Controllers for New 6ISO AVR Systems

Author:

Rawa Muhyaddin12ORCID,Alghamdi Sultan12ORCID,Calasan Martin3,Aldosari Obaid4ORCID,Ali Ziad M.45ORCID,Alkhalaf Salem6ORCID,Micev Mihailo3ORCID,Abdel Aleem Shady H. E.7ORCID

Affiliation:

1. Smart Grids Research Group, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia

2. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia

3. Faculty of Electrical Engineering, University of Montenegro, Podgorica 81000, Montenegro

4. Electrical Engineering Department, College of Engineering, Prince Sattam bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia

5. Electrical Engineering Department, Aswan Faculty of Engineering, Aswan University, Aswan 81542, Egypt

6. Department of Computer, College of Science and Arts in Ar Rass, Qassim University, Ar Rass 51921, Saudi Arabia

7. Department of Electrical Engineering, Institute of Aviation Engineering and Technology, Giza 12658, Egypt

Abstract

In the literature, different approaches that are employed in designing automatic voltage regulators (AVRs) usually model the AVR as a single-input-single-output system, where the input is the generator reference voltage, and the output is the generator voltage. Alternately, it could be thought of as a double-input, single-output system, with the excitation voltage change serving as the additional input. In this paper, unlike in the existing literature, we designed the AVR system as a sextuple-input single-output (6ISO) system. The inputs in the model include the generator reference voltage, regulator signal change, exciter signal change, amplifier signal change, generator output signal change, and the sensor signal change. We also compared the generator voltage responses for various structural configurations and regulator parameter choices reported in the literature. The effectiveness of numerous controllers is investigated; the proportional, integral and differential (PID) controller, the PID with second-order derivative (PIDD2) controller, and the fractional order PID (FOPID) controller are the most prevalent types of controllers. The findings reveal that the regulator signal change and the generator output signal change significantly impact the generator voltage. Based on these findings, we propose a new approach to design the regulator parameter to enhance the response to generator reference voltage changes. This approach takes into consideration changes in the generator reference voltage as well as the regulator signal. We calculate the regulator settings using a cutting-edge hybrid technique called the Particle Swarm Optimization African Vultures Optimization algorithm (PSO–AVOA). The effectiveness of the regulator design technique and the proposed optimization algorithm are demonstrated.

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

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