Honey Badger Algorithm Based Tuning of PID Conroller for Load Frequency Control in Two-Area Power System Including Electric Vehicle Battery

Cenk Andic, Sercan Ozumcan, Ali Ozturk, Belgin Turkay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This paper presents a load frequency control using meta-heuristic method to find the gains of PID controllers. In this study, a novel meta-heuristic method, Honey Badger Algorithm is proposed to find the optimal Kp, Ki and Kd parameters of PID controller. The proposed algorithm is tested on two-area power system. However, electric vehicle battery, which is one of the electrical energy storage devices, has been added to the two-area power system. The settling time of the frequency has been investigated as a result of the load disturbance. Finally, a comparison was made between the traditional methods, Genetic Algorithm and Ziegler-Nichols method, and Honey Badger Algorithm. Upon comparison of the results, it is revealed that the proposed algorithm shows fast-damping steady-state deviations frequency with presence of step load disturbance.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages307-310
Number of pages4
ISBN (Electronic)9781665469258
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 - Cappadocia, Turkey
Duration: 14 Jun 202217 Jun 2022

Publication series

NameProceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022

Conference

Conference4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022
Country/TerritoryTurkey
CityCappadocia
Period14/06/2217/06/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • EV battery
  • honey badger algorithm
  • load frequency control
  • two-area power system

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