Employment of renewable based sources in amalgamated frequency-voltage control restructured system with TSA trained IPD(1+I) controller

Arindita Saha, Mahajan Sagar Bhaskar, Dhafer J. Almakhles and Mahmoud F. Elmorshedy

Renewable Energy, 2024, vol. 222, issue C

Abstract: The existing effort explores automatic load frequency control learning and automatic voltage regulator for manifold areas and sources under restructured situations. Sources in Area_1 are bio-diesel and thermal; diesel and thermal plants in Area_2. Thus, each area consists of two generating companies and two distributing companies. A unique attempt has been undergone to perform a deuce phase controller integral-proportional-derivative with one plus integral (IPD(1 + I)) controller. Various examination expresses that IPD(1 + I) is an excellent controller when compared with proportional-derivative (PD) and proportional-integral-derivative-filter (PIDN) from outlook regarding crest overshoot, grade-of-fluctuations, crest undershoot as well as the subsiding period in case of bilateral contacts. In an attempt to secure the controller's attributes bio-enthused meta-heuristic tunicate search algorithm (TSA) is applied. Along with that, renewable source solar energy in the form of solar photovoltaic has been merged in both the operating areas. Action in existence of hydrogen aqua electrolyser – fuel cell (HAE (FC)) has also been examined using IPD(1 + I) controller for bilateral contact, in order to obtain noteworthy outcomes in a dynamic presentation. It is pragmatic that the best responses are obtained for the scheme with the inclusion of both PV and HAE (FC). Also, IPD(1 + I) parameters values at nominal condition has been analyzed to confirm its suitability for varied loading conditions without the need for optimization.

Keywords: Automated frequency regulation learning; Automatic voltage regulation; Hydrogen aqua electrolyzer fuel cell; IPD(1+I) controller; Solar photovoltaic; Tunicate search algorithm (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:222:y:2024:i:c:s0960148123017949

DOI: 10.1016/j.renene.2023.119879

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