ANFIS Based Control Design for AGC of a Hydro-hydro Power System with UPFC and Hydrogen Electrolyzer Units

Gulshan Sharma, Ibraheem Nasiruddin, Khaleequr Rehman Niazi, Ramesh C. Bansal

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

This paper presents the design of artificial neuro fuzzy inference system (ANFIS) based automatic generation control (AGC) scheme for a two-area hydro-hydro dominating power system. The proposed control scheme is flexible with simple structure and may prove to be a promising tool for considered system in the presence of system non-linearity and for wide range of parametric variations. The ANFIS based control are implemented and the system dynamic responses are obtained considering 1% load disturbance in area-1 and compared with fuzzy and conventional proportional integral (PI) based AGC to show the simplicity and effectiveness of the proposed control. The further improvements in the system dynamic responses with the proposed control are observed by considering the unified power flow control (UPFC) in series with the tie-line and hydrogen aqua electrolyzer units installed at one of the terminal of the control areas. The dynamic performance of the designed control is also evaluated considering the governor dead-band and generation rate constraint (GRC) non-linearity and for wide range of system parametric variations.

Original languageEnglish
Pages (from-to)406-417
Number of pages12
JournalElectric Power Components and Systems
Volume46
Issue number4
DOIs
Publication statusPublished - 25 Feb 2018
Externally publishedYes

Keywords

  • ANFIS
  • area control error
  • automatic generation control
  • FACTS
  • fuzzy system
  • hydro-hydro system
  • hydrogen aqua electrolyzer unit
  • sensitivity analysis
  • UPFC

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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