JAYA-evaluated frequency control design for hydroelectric power system using RFB and UPFC

Akhilesh Panwar, Gulshan Sharma, Ibraheem Nasiruddin, R. C. Bansal

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

1 Citation (Scopus)

Abstract

The present paper discusses an early attempt to investigate and propose the various control actions such as integral derivative (ID), integral double derivative (IDD) and proportional integral derivative (PID) with gains evaluated via a new and powerful evolutionary technique known as JAYA algorithm to maintain the equilibrium between power generation and demand of the hydroelectric power system, and hence to reach system frequency in minimum time for variation in system demand. At first, the enactment of JAYA-ID, JAYA-IDD and JAYA-PID founded designs are assessed for standard demand change in one of the areas of a connected electric power system and the comparative assessment is carried out on the acquired value of inverse time multiplied absolute error (ITAE). The assessment of hydroelectric power system is carried out in terms of obtained gains, minimized error value and power responses to demonstrate the efficacy of the proposed design. The obtained assessment shows the advancement of JAYA-PID over other evaluated deigns. However, still the hydroelectric power responses struggle with higher overshoot, unacceptable settling time and error in reaching steady state. This is due to slow responding of hydroturbines and hence the unified power flow control (UPFC) in series with tie line and support from redox flow battery (RFB) is further used in the hydroelectric power system to improve the assessment significantly. Further enrichment in the hydroelectric power responses is realized by again calculating the gains of PID via JAYA algorithm with positive contribution from RFB and UPFC.

Original languageEnglish
Title of host publicationIntelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2018
EditorsAkhtar Kalam, Khaleequr Rehman Niazi, Amit Soni, Shahbaz Ahmed Siddiqui, Ankit Mundra
PublisherSpringer
Pages863-871
Number of pages9
ISBN (Print)9789811502132
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event1st International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2018 - Jaipur, India
Duration: 22 Dec 201823 Dec 2018

Publication series

NameLecture Notes in Electrical Engineering
Volume607
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference1st International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2018
Country/TerritoryIndia
CityJaipur
Period22/12/1823/12/18

Keywords

  • ID
  • IDD
  • JAYA algorithm
  • LFC
  • PID
  • RFB
  • UPFC

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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