Fuzzy theory-based best generation mix considering renewable energy generators

Jeongje Park; Liang Wu; Jaeseok Choi; Junmin Cha; A. A. El-Keib; Junzo Watada

doi:10.1109/FUZZY.2009.5277196

Fuzzy theory-based best generation mix considering renewable energy generators

Jeongje Park^*, Liang Wu, Jaeseok Choi, Junmin Cha, A. A. El-Keib, Junzo Watada

^*この研究の対応する著者

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This paper proposes a fuzzy linear programming (LP)-based solution approach for the long-term multi-stages best generation mix (BGM) problem considering wind turbine generators (WTG) and solar cell generators (SCG), and CO ₂ emissions constraints. The proposed method uses fuzzy set theory to consider the uncertain circumstances ambiguities associated with budgets and reliability criterion level. The proposed approach provides a more flexible solution compared to a crisp robust plan. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the Korean power system, which contains nuclear, coal, LNG, oil, pumped-storage hydro, and WTGs and SCGs.

本文言語	English
ホスト出版物のタイトル	IEEE International Conference on Fuzzy Systems
ページ	1462-1467
ページ数	6
DOI	https://doi.org/10.1109/FUZZY.2009.5277196
出版ステータス	Published - 2009
イベント	2009 IEEE International Conference on Fuzzy Systems - Jeju Island 継続期間: 2009 8月 20 → 2009 8月 24

Other

Other	2009 IEEE International Conference on Fuzzy Systems
City	Jeju Island
Period	09/8/20 → 09/8/24

ASJC Scopus subject areas

ソフトウェア
人工知能
応用数学
理論的コンピュータサイエンス

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

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10.1109/FUZZY.2009.5277196

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引用スタイル

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title = "Fuzzy theory-based best generation mix considering renewable energy generators",

abstract = "This paper proposes a fuzzy linear programming (LP)-based solution approach for the long-term multi-stages best generation mix (BGM) problem considering wind turbine generators (WTG) and solar cell generators (SCG), and CO 2 emissions constraints. The proposed method uses fuzzy set theory to consider the uncertain circumstances ambiguities associated with budgets and reliability criterion level. The proposed approach provides a more flexible solution compared to a crisp robust plan. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the Korean power system, which contains nuclear, coal, LNG, oil, pumped-storage hydro, and WTGs and SCGs.",

keywords = "Air pollution, Best generation mix, Fuzzy linear programming, Renewable energy generators",

author = "Jeongje Park and Liang Wu and Jaeseok Choi and Junmin Cha and El-Keib, {A. A.} and Junzo Watada",

year = "2009",

doi = "10.1109/FUZZY.2009.5277196",

language = "English",

isbn = "9781424435975",

pages = "1462--1467",

booktitle = "IEEE International Conference on Fuzzy Systems",

note = "2009 IEEE International Conference on Fuzzy Systems ; Conference date: 20-08-2009 Through 24-08-2009",

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AU - Park, Jeongje

AU - Wu, Liang

AU - Choi, Jaeseok

AU - Cha, Junmin

AU - El-Keib, A. A.

AU - Watada, Junzo

PY - 2009

Y1 - 2009

N2 - This paper proposes a fuzzy linear programming (LP)-based solution approach for the long-term multi-stages best generation mix (BGM) problem considering wind turbine generators (WTG) and solar cell generators (SCG), and CO 2 emissions constraints. The proposed method uses fuzzy set theory to consider the uncertain circumstances ambiguities associated with budgets and reliability criterion level. The proposed approach provides a more flexible solution compared to a crisp robust plan. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the Korean power system, which contains nuclear, coal, LNG, oil, pumped-storage hydro, and WTGs and SCGs.

AB - This paper proposes a fuzzy linear programming (LP)-based solution approach for the long-term multi-stages best generation mix (BGM) problem considering wind turbine generators (WTG) and solar cell generators (SCG), and CO 2 emissions constraints. The proposed method uses fuzzy set theory to consider the uncertain circumstances ambiguities associated with budgets and reliability criterion level. The proposed approach provides a more flexible solution compared to a crisp robust plan. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the Korean power system, which contains nuclear, coal, LNG, oil, pumped-storage hydro, and WTGs and SCGs.

KW - Air pollution

KW - Best generation mix

KW - Fuzzy linear programming

KW - Renewable energy generators

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DO - 10.1109/FUZZY.2009.5277196

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AN - SCOPUS:71249146787

SN - 9781424435975

SP - 1462

EP - 1467

BT - IEEE International Conference on Fuzzy Systems

T2 - 2009 IEEE International Conference on Fuzzy Systems

Y2 - 20 August 2009 through 24 August 2009

ER -

Fuzzy theory-based best generation mix considering renewable energy generators

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Other

ASJC Scopus subject areas

UN SDG

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