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  1. 学術雑誌論文
  2. その他
  1. 部局別インデックス
  2. 工学部

Water Cycle Algorithm for Probabilistic Planning of Renewable Energy Resource, Considering Different Load Models

http://hdl.handle.net/20.500.12000/48786
http://hdl.handle.net/20.500.12000/48786
49982dd9-26b4-4afb-a85a-28e263a57fc2
名前 / ファイル ライセンス アクション
energies-13-05800-v2.pdf energies-13-05800-v2.pdf
Item type デフォルトアイテムタイプ(フル)(1)
公開日 2021-08-16
タイトル
タイトル Water Cycle Algorithm for Probabilistic Planning of Renewable Energy Resource, Considering Different Load Models
言語 en
作成者 Saleh, Ayat Ali

× Saleh, Ayat Ali

en Saleh, Ayat Ali

Senjyu, Tomonobu

× Senjyu, Tomonobu

en Senjyu, Tomonobu

Alkhalaf, Salem

× Alkhalaf, Salem

en Alkhalaf, Salem

Alotaibi, Majed A.

× Alotaibi, Majed A.

en Alotaibi, Majed A.

Hemeida, Ashraf M.

× Hemeida, Ashraf M.

en Hemeida, Ashraf M.

アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利情報
言語 ja
権利情報 © 2020 by the authors.
主題
言語 en
主題Scheme Other
主題 uncertainty effect
言語 en
主題Scheme Other
主題 multi-objective water cycle algorithm (MOWCA)
言語 en
主題Scheme Other
主題 power loss reduction
言語 en
主題Scheme Other
主題 voltage deviation
言語 en
主題Scheme Other
主題 cost
言語 en
主題Scheme Other
主題 pollutant gas emissions
言語 en
主題Scheme Other
主題 renewable energy source
内容記述
内容記述タイプ Other
内容記述 This work introduces multi-objective water cycle algorithm (MOWCA) to find the accurate location and size of distributed energy resource (DERs) considering different load models for two seasons (winter, and summer). The impact of uncertainties produced from load and renewable energy resource (RES) such as wind turbine (WT) and photovoltaic (PV) on the performance of the radial distribution system (RDS) are covered as this is closer to the real operation condition. The point estimate method (PEM) is applied for modeling the RES uncertainties. An optimization technique is implemented to find the multi-objective optimal allocation of RESs in RDSs considering uncertainty effect. The main objectives of the work are to maximize the technical, economic and environmental benefits by minimizing different objective functions such as the dissipated power, the voltage deviation, DG cost and total emissions. The proposed multi-objective model is solved by using multi-objective water cycle algorithm (MOWCA), considering the Pareto criterion with nonlinear sorting based on fuzzy mechanism. The proposed algorithm is carried out on different IEEE power systems with various cases.
内容記述タイプ Other
内容記述 論文
出版者
言語 en
出版者 MDPI
言語
言語 eng
資源タイプ
資源タイプ journal article
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
識別子
識別子 http://hdl.handle.net/20.500.12000/48786
識別子タイプ HDL
関連情報
関連識別子
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/en13215800
関連識別子
識別子タイプ DOI
関連識別子 https://doi.org/10.3390/en13215800
収録物識別子
収録物識別子タイプ ISSN
収録物識別子 1996-1073
収録物名
言語 en
収録物名 Energies
書誌情報
巻 13, 号 21
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