Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller

This work addresses the automatic-generation-control of multiple-area and sources under a restructured-situation. Sources within area-1 represent geothermal power plant, thermal, and gas, and area-2 sources represent thermal, hydro, and wind. An original endeavour is brought about to execute a contr...

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Main Authors: Arindita Saha, Puja Dash, Tirumalasetty Chiranjeevi, Naladi Ram Babu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Journal of Taibah University for Science
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/16583655.2024.2334004
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author Arindita Saha
Puja Dash
Tirumalasetty Chiranjeevi
Naladi Ram Babu
author_facet Arindita Saha
Puja Dash
Tirumalasetty Chiranjeevi
Naladi Ram Babu
author_sort Arindita Saha
collection DOAJ
description This work addresses the automatic-generation-control of multiple-area and sources under a restructured-situation. Sources within area-1 represent geothermal power plant, thermal, and gas, and area-2 sources represent thermal, hydro, and wind. An original endeavour is brought about to execute a controller with an admixture of proportional-derivative with filter (PDN) (integer-order) besides fractional-order proportional–integral (FOPI). Examination manifests excellence of PDN(FOPI) over integer order controllers likely integral, proportional–integral, proportional–integral–derivative-filter from perspective concerning depleted status of peak aberrations, extent-of-oscillations, and duration of settlement. To attain the controller’s attributes bioinspired meta-heuristic tunicate swarm algorithm is exercised. The occurrence of renewable sources makes arrangements meaningfully improved related to base thermal-gas-hydro arrangement. The action of hydrogen aqua electrolyzer-fuel cell and redox flow battery is examined using a PDN(FOPI) controller, providing noteworthy outcome in dynamic performance. The analysis is conducted under all the schemes of restructured situations.
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institution Kabale University
issn 1658-3655
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publishDate 2024-12-01
publisher Taylor & Francis Group
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series Journal of Taibah University for Science
spelling doaj-art-7c2e5bb8ab10441c84e3d4f1d2d510c02024-12-17T11:38:48ZengTaylor & Francis GroupJournal of Taibah University for Science1658-36552024-12-0118110.1080/16583655.2024.2334004Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controllerArindita Saha0Puja Dash1Tirumalasetty Chiranjeevi2Naladi Ram Babu3Department of EE, Regent Education & Research Foundation Group of Institutions, Kolkata, IndiaPower Research and Development Consultants Pvt. Ltd., Bengaluru, IndiaDepartment of EE, Rajkiya Engineering College, Sonbhadra, IndiaDepartment of EEE, Aditya Engineering College, Surampalem, IndiaThis work addresses the automatic-generation-control of multiple-area and sources under a restructured-situation. Sources within area-1 represent geothermal power plant, thermal, and gas, and area-2 sources represent thermal, hydro, and wind. An original endeavour is brought about to execute a controller with an admixture of proportional-derivative with filter (PDN) (integer-order) besides fractional-order proportional–integral (FOPI). Examination manifests excellence of PDN(FOPI) over integer order controllers likely integral, proportional–integral, proportional–integral–derivative-filter from perspective concerning depleted status of peak aberrations, extent-of-oscillations, and duration of settlement. To attain the controller’s attributes bioinspired meta-heuristic tunicate swarm algorithm is exercised. The occurrence of renewable sources makes arrangements meaningfully improved related to base thermal-gas-hydro arrangement. The action of hydrogen aqua electrolyzer-fuel cell and redox flow battery is examined using a PDN(FOPI) controller, providing noteworthy outcome in dynamic performance. The analysis is conducted under all the schemes of restructured situations.https://www.tandfonline.com/doi/10.1080/16583655.2024.2334004Automatic generation controlfuel cellhydrogen aqua electrolyzerPDN(FOPI) controllerredox flow batterytunicate swarm algorithm
spellingShingle Arindita Saha
Puja Dash
Tirumalasetty Chiranjeevi
Naladi Ram Babu
Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller
Journal of Taibah University for Science
Automatic generation control
fuel cell
hydrogen aqua electrolyzer
PDN(FOPI) controller
redox flow battery
tunicate swarm algorithm
title Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller
title_full Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller
title_fullStr Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller
title_full_unstemmed Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller
title_short Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller
title_sort implementation of combined hydrogen aqua electrolyser fuel cell and redox flow battery under restructured situation of agc employing tsa optimized pdn fopi controller
topic Automatic generation control
fuel cell
hydrogen aqua electrolyzer
PDN(FOPI) controller
redox flow battery
tunicate swarm algorithm
url https://www.tandfonline.com/doi/10.1080/16583655.2024.2334004
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