Pelican Optimization Algorithm-Based Proportional–Integral–Derivative Controller for Superior Frequency Regulation in Interconnected Multi-Area Power Generating System

Author:

Sagor Abidur Rahman1ORCID,Talha Md Abu1ORCID,Ahmad Shameem1ORCID,Ahmed Tofael2ORCID,Alam Mohammad Rafiqul2,Hazari Md. Rifat1ORCID,Shafiullah G. M.3ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Faculty of Engineering, American International University–Bangladesh, Dhaka 1229, Bangladesh

2. Department of Electrical and Electronic Engineering, Chittagong University of Engineering & Technology, Chattogram 4349, Bangladesh

3. School of Engineering and Energy, College of Science, Technology, Engineering and Mathematics, Murdoch University, Perth, WA 6150, Australia

Abstract

The primary goal of enhancing automatic generation control (AGC) in interconnected multi-area power systems is to ensure high-quality power generation and reliable distribution during emergencies. These systems still struggle with consistent stability and effective response under dynamic load conditions despite technological advancements. This research introduces a secondary controller designed for load frequency control (LFC) to maintain stability during unexpected load changes by optimally tuning the parameters of a Proportional–Integral–Derivative (PID) controller using pelican optimization algorithm (POA). An interconnected power system for ith multi-area is modeled in this study; meanwhile, for determining the optimal PID gain settings, a four-area interconnected power system is developed consisting of thermal, reheat thermal, hydroelectric, and gas turbine units based on the ith area model. A sensitivity analysis was conducted to validate the proposed controller’s robustness under different load conditions (1%, 2%, and 10% step load perturbation) and adjusting nominal parameters (R, Tp, and Tij) within a range of ±25% and ±50%. The performance response indicates that the POA-optimized PID controller achieves superior performance in frequency stabilization and oscillation reduction, with the lowest integral time absolute error (ITAE) value showing improvements of 7.01%, 7.31%, 45.97%, and 50.57% over gray wolf optimization (GWO), Moth Flame Optimization Algorithm (MFOA), Particle Swarm Optimization (PSO), and Harris Hawks Optimization (HHO), respectively.

Funder

American International University–Bangladesh

Publisher

MDPI AG

Reference53 articles.

1. Analysis of Major Blackouts from 2003 to 2015: Classification of Incidents and Review of Main Causes;Veloza;Electr. J.,2016

2. Development of the Interconnected Power Grid in Europe and Suggestions for the Energy Internet in China;Liu;Glob. Energy Interconnect.,2020

3. A Comprehensive Review of Recent Strategies on Automatic Generation Control/Load Frequency Control in Power Systems;Bhagat;Arch. Comput. Methods Eng.,2023

4. Study of Electrical Installation Planning at the General Hospital in Bengkayang District;Prabasa;Telecommun. Comput. Electr. Eng. J.,2023

5. Frequency Disturbance Event Detection Based on Synchrophasors and Deep Learning;Wang;IEEE Trans. Smart Grid,2020

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