Cite this DOI
10.46243/jst.2022.v7.i10.pp01-6 · Multi-Terminal Direct Current (DC) Networks for Grid Integration of Offshore Wind Farms: Operation and Power Flow Control Using Genetic Algorithms
APA (7th edition)
G HARIBABU, G. H. (2022). Multi-Terminal Direct Current (DC) Networks for Grid Integration of Offshore Wind Farms: Operation and Power Flow Control Using Genetic Algorithms. *Journal of Science & Technology*, *7*(10), 1–6. https://doi.org/10.46243/jst.2022.v7.i10.pp01-6
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{gharibabu2022multiterminal,
author = {G HARIBABU, G HARIBABU},
title = {{Multi-Terminal Direct Current (DC) Networks for Grid Integration of Offshore Wind Farms: Operation and Power Flow Control Using Genetic Algorithms}},
journal = {Journal of Science \& Technology},
year = {2022},
month = {dec},
volume = {7},
number = {10},
pages = {1--6},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jst.2022.v7.i10.pp01-6},
url = {https://doi.org/10.46243/jst.2022.v7.i10.pp01-6},
language = {en},
abstract = {Offshore wind energy is expected to make a major contribution toward meeting Europe's renewable power ambitions. Because of t he massive size and growing distance from shore of proposed future offshore wind farms, grid connectivity through a transnationa l DC network is very desired. This study looks at a nine -node DC grid that links the United Kingdom (UK), the Netherlands (NL), and Germany (DE). Distributed voltage control (DVC) is a unique approach for controlling power flow inside a multi -terminal DC grid that uses voltage-source converters. To reduce the amount of energy lost during transmission, this strategy uses an optimum power flow (OPF) solution. The paper's key contribution is the use of a genetic algorithm (GA) to resolve the OPF issue under the N1 sec urity restriction. Following a summary of the primary DC network component models, the suggested control mechanism is sh own in action through multiple case studies}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - Multi-Terminal Direct Current (DC) Networks for Grid Integration of Offshore Wind Farms: Operation and Power Flow Control Using Genetic Algorithms AU - G HARIBABU, G HARIBABU JO - Journal of Science & Technology PY - 2022 DA - 2022/12/21/ VL - 7 IS - 10 SP - 1 EP - 6 PB - Longman Publishers SN - 2456-5660 LA - en AB - Offshore wind energy is expected to make a major contribution toward meeting Europe's renewable power ambitions. Because of t he massive size and growing distance from shore of proposed future offshore wind farms, grid connectivity through a transnationa l DC network is very desired. This study looks at a nine -node DC grid that links the United Kingdom (UK), the Netherlands (NL), and Germany (DE). Distributed voltage control (DVC) is a unique approach for controlling power flow inside a multi -terminal DC grid that uses voltage-source converters. To reduce the amount of energy lost during transmission, this strategy uses an optimum power flow (OPF) solution. The paper's key contribution is the use of a genetic algorithm (GA) to resolve the OPF issue under the N1 sec urity restriction. Following a summary of the primary DC network component models, the suggested control mechanism is sh own in action through multiple case studies DO - 10.46243/jst.2022.v7.i10.pp01-6 UR - https://doi.org/10.46243/jst.2022.v7.i10.pp01-6 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i10.pp01-6 gives all four in one JSON answer.
