Load Frequency Control of Hydro Electric System using Application of Fuzzy with Particle Swarm Optimization Algorithm

Milan Joshi, Gulshan Sharma, Innocent E. Davidson

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

7 Citations (Scopus)

Abstract

- Load fr equency control (l FC) plays a basic ro le in ccnveylng the esteem and economical eteerrle energy to the advanced and present-day electric power users. With cutting edge patterns to move to new and fresh sources of electrical vitality framework it may possible to have major hydro control eras in the near fut ure. It increments the difficulty to see the principles of LFC of hydro control regions. The hydro regions are essentially unsteady structures as it takes more time by hydro turbi ne to revert for continuous load alterations in control eras. SUbsequently, this research work shows a novel control plan for l FC of hydro-hydro vita lity framework based on joint efforts of fuuy base control with particle swarm opti mizatio n (PSO) algorithm built design of PID resulting into an FLPSo-PID first time to achieve the standards of LFC for complex and unstable structures such as hydro-hydro. The control regions are link by means of AC tie-line and hence the propose LFC is first check for 1'"/.load alteration In one of the control zones and the application results are compare with some of the recently publish LFC. Further, the obtain results are well presented to clearly shows the adva ncement of proposed design with regards to no oscillations, lesser overshoot and getting back to steady state condition as faster as possible. At last, the performance of the proposed design is check for simultaneous load alteratio n in both control zones and the obtain results of freq uency and tie-power altera tion is revealed for I.FC.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings
EditorsSameerchand Pudaruth, Upasana Singh
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728167701
DOIs
Publication statusPublished - Aug 2020
Externally publishedYes
Event2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Durban, KwaZulu Natal, South Africa
Duration: 6 Aug 20207 Aug 2020

Publication series

Name2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings

Conference

Conference2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020
Country/TerritorySouth Africa
CityDurban, KwaZulu Natal
Period6/08/207/08/20

Keywords

  • Fuzzy logic, PSO
  • Hydro-hydro system
  • LFC
  • PID

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems and Management

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