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Research Article

Frequency control of power system with electric vehicles using hybrid african vultures optimization algorithm and pattern search tuned fuzzy PID controller

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  • @ARTICLE{10.4108/ew.135,
        author={P M Dash and A K Baliarsingh and Sangram K Mohapatra},
        title={Frequency control of power system with electric vehicles using hybrid african vultures optimization algorithm and pattern search tuned fuzzy PID controller},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2023},
        month={10},
        keywords={African Vultures Optimization Algorithm, Automatic Generation Control, Fuzzy PID Controller, Electric Vehicles, Governor Dead Band, Generation Rate Constraint, Pattern Search},
        doi={10.4108/ew.135}
    }
    
  • P M Dash
    A K Baliarsingh
    Sangram K Mohapatra
    Year: 2023
    Frequency control of power system with electric vehicles using hybrid african vultures optimization algorithm and pattern search tuned fuzzy PID controller
    EW
    EAI
    DOI: 10.4108/ew.135
P M Dash1, A K Baliarsingh2, Sangram K Mohapatra3,*
  • 1: Bhubaneswar Engineering College
  • 2: Government College of Engineering, Kalahandi
  • 3: Government College of Engineering, Keonjhar
*Contact email: sangram.muna.76@gmail.com

Abstract

This work suggests a hybrid African Vultures Optimization Algorithm (AVOA) and Pattern search (hAVOA-PS) based Fuzzy PID (FPID) structure for frequency control of a nonlinear power system with Electric Vehicles (EVs). To illustrate the dominance of the projected hAVOA-PS algorithm, initially PI controllers are considered and results are compared with AVOA, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. To further enhance the dynamic performance, PID and FPID controllers are considered. The dominance of FPID over PID and PI controllers is shown. In the next step, EVs are incorporated in the test system and a comparative analysis of hAVOA-PS based PI/PID/FPID and FPID+EV is presented. To exhibit the superiority of projected frequency control scheme in maintaining the stability of system under different disturbance conditions like load increase in area-1 only, load decrease/increase in all areas, and large load increase in all areas are considered. It is noticed that the suggested hAVOA-PS based FPID controller n presence of EV is able to maintain system stability for all the considered cases where as other compared approaches fail to maintain stability in some cases.

Keywords
African Vultures Optimization Algorithm, Automatic Generation Control, Fuzzy PID Controller, Electric Vehicles, Governor Dead Band, Generation Rate Constraint, Pattern Search
Received
2023-03-24
Accepted
2023-10-23
Published
2023-10-30
Publisher
EAI
http://dx.doi.org/10.4108/ew.135

Copyright © 2023 P. M. Dash et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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