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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE International Conference on Fuzzy Systems
Pages	1462-1467
Number of pages	6
DOIs	https://doi.org/10.1109/FUZZY.2009.5277196
Publication status	Published - 2009
Event	2009 IEEE International Conference on Fuzzy Systems - Jeju Island Duration: 2009 Aug 20 → 2009 Aug 24

Other

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

Keywords

Air pollution
Best generation mix
Fuzzy linear programming
Renewable energy generators

ASJC Scopus subject areas

Software
Artificial Intelligence
Applied Mathematics
Theoretical Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/FUZZY.2009.5277196

Cite this

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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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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

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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