ACO-Based Control Strategy in Interconnected Thermal Power System for Regulation of Frequency with HAE and UPFC Unit

K. Jagatheesan, B. Anand, Nilanjan Dey, Amira S. Ashour, Mahdi Khosravy, Rajesh Kumar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Increased quality is an essential requirement in thermal power systems that can be guaranteed by balancing both the load demand and power generation. Accordingly, in an interconnected thermal system, the controller gain values of Proportional Integral Derivative (PID) in load frequency control (LFC) is tuned by using Ant Colony Optimization (ACO) in the proposed system. Besides, a secondary PID controller is employed to regulate the system’s frequency and power flow using a tie-line between the interconnected systems through an abrupt load surplus. One percent step load perturbation in area 1 (1% SLP) is considered while determining the optimal controller’s gain values. A comparative study was conducted to evaluate the proposed ACO based tuned controller gains against the article Swarm Optimization (PSO) and Genetic Algorithm (GA) technique tuned controller performance. Additionally, an enhancement in the performance of the system is achieved using a unified power flow controller (UPFC) flexible alternating current transmission system devices unit in series with normal tie-line. Furthermore, a hydrogen generative aqua electrolyzer (HAE) energy storage unit is incorporated into the investigated power system. Finally, the simulation results obviously evident that the proposed system’s response improves the time domain measurement parameter values with minimum oscillations.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer Science and Business Media Deutschland GmbH
Pages59-71
Number of pages13
DOIs
Publication statusPublished - 2021
Externally publishedYes

Publication series

NameLecture Notes in Networks and Systems
Volume148
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Keywords

  • Ant colony optimization
  • Controller
  • Energy regulation
  • Power management
  • Power quality
  • Power system

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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