Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller
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| Title: | Implementation of combined hydrogen aqua electrolyser-fuel cell and redox-flow-battery under restructured situation of AGC employing TSA optimized PDN(FOPI) controller |
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| Authors: | Arindita Saha, Puja Dash, Tirumalasetty Chiranjeevi, Naladi Ram Babu |
| Source: | Journal of Taibah University for Science, Vol 18, Iss 1 (2024) |
| Publisher Information: | Taylor & Francis Group, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Science (General) |
| Subject Terms: | Automatic generation control, fuel cell, hydrogen aqua electrolyzer, PDN(FOPI) controller, redox flow battery, tunicate swarm algorithm, Science (General), Q1-390 |
| 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1658-3655 |
| Relation: | https://doaj.org/toc/1658-3655 |
| DOI: | 10.1080/16583655.2024.2334004 |
| Access URL: | https://doaj.org/article/7c2e5bb8ab10441c84e3d4f1d2d510c0 |
| Accession Number: | edsdoj.7c2e5bb8ab10441c84e3d4f1d2d510c0 |
| Database: | Directory of Open Access Journals |
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