Optimization of Wind-Marine Hybrid Power System Configuration Based on Genetic Algorithm
Multi-energy power systems can use energy generated from various sources to improve power generation reliability. This paper presents a cost-power generation model of a wind-tide-wave energy hybrid power system for use on a remote island, where the configuration is optimized using a genetic algorith...
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| Vydané v: | Journal of Ocean University of China Ročník 16; číslo 4; s. 709 - 715 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Heidelberg
Science Press
01.08.2017
Springer Nature B.V College of Engineering, Ocean University of China, Qingdao 266100, P.R.China |
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| ISSN: | 1672-5182, 1993-5021, 1672-5174 |
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| Abstract | Multi-energy power systems can use energy generated from various sources to improve power generation reliability. This paper presents a cost-power generation model of a wind-tide-wave energy hybrid power system for use on a remote island, where the configuration is optimized using a genetic algorithm. A mixed integer programming model is used and a novel object function, including cost and power generation, is proposed to solve the boundary problem caused by existence of two goals. Using this model, the final optimized result is found to have a good fit with local resources. |
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| AbstractList | Multi-energy power systems can use energy generated from various sources to improve power generation reliability. This paper presents a cost-power generation model of a wind-tide-wave energy hybrid power system for use on a remote island, where the configuration is optimized using a genetic algorithm. A mixed integer programming model is used and a novel object function, including cost and power generation, is proposed to solve the boundary problem caused by existence of two goals. Using this model, the final optimized result is found to have a good fit with local resources. |
| Author | SHI Hongda LI Linna ZHAO Chenyu |
| AuthorAffiliation | College of Engineering, Ocean University of China, Qingdao 266100, P. R. China |
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| Author_xml | – sequence: 1 givenname: Hongda surname: Shi fullname: Shi, Hongda email: hd_shi@ouc.edu.cn organization: College of Engineering, Ocean University of China – sequence: 2 givenname: Linna surname: Li fullname: Li, Linna organization: College of Engineering, Ocean University of China – sequence: 3 givenname: Chenyu surname: Zhao fullname: Zhao, Chenyu organization: College of Engineering, Ocean University of China |
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| CitedBy_id | crossref_primary_10_1007_s11802_018_3668_6 crossref_primary_10_1016_j_applthermaleng_2025_126702 crossref_primary_10_1016_j_rser_2023_113970 crossref_primary_10_1016_j_energy_2019_07_068 crossref_primary_10_1007_s11356_024_32733_z crossref_primary_10_1016_j_apor_2020_102208 crossref_primary_10_1109_ACCESS_2021_3064888 |
| Cites_doi | 10.1007/s40684-015-0013-z 10.1007/s10479-012-1110-9 10.1016/j.renene.2004.07.007 10.1007/978-3-642-03454-1_24 10.1016/j.rser.2009.11.003 10.1007/978-3-642-15739-4_10 10.1016/j.rser.2013.10.030 10.1243/09576509JPE298 10.1007/s40684-014-0021-4 10.1007/s40092-014-0049-7 |
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| Copyright | Science Press, Ocean University of China and Springer-Verlag GmbH Germany 2017 Journal of Ocean University of China is a copyright of Springer, 2017. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.1007/s11802-017-3343-3 |
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| Keywords | genetic algorithm cost-power generation function marine energy multi-energy system |
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| Notes | 37-1415/P Multi-energy power systems can use energy generated from various sources to improve power generation reliability. This paper presents a cost-power generation model of a wind-tide-wave energy hybrid power system for use on a remote island, where the configuration is optimized using a genetic algorithm. A mixed integer programming model is used and a novel object function, including cost and power generation, is proposed to solve the boundary problem caused by existence of two goals. Using this model, the final optimized result is found to have a good fit with local resources. genetic algorithm; cost-power generation function; multi-energy system; marine energy ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| References | Falcão (CR3) 2010; 14 Kumarvel, Ashok (CR4) 2010 Xue (CR13) 2014 Zhou (CR16) 2012 Payne, Kiprakis, Ehsan, Rampen, Chick (CR9) 2007; 221 Touré (CR11) 2005; 30 Naamane, M’Sirdi (CR8) 2009 Lydia, Kumar, Selvakumar, Kumar (CR7) 2014; 30 Bhandari, Poudel, Lee, Ahn (CR2) 2014; 1 Pereira, Segurado, Costa, Pipio, Alves (CR10) 2009; 18 Xiong, Wang, Cui, Guo, Huang (CR12) 2009; 28 Liu, Zhang, Liang (CR6) 2015; 34 Yazdanpanah (CR14) 2014; 10 Bhandari, Lee, Lee, Cho, Ahn (CR1) 2015; 2 Kuznia, Bo, Centeno, Miao (CR5) 2013; 210 Zhang, He, Xin, Wang, Gan (CR15) 2016; 2016 B. Bhandari (3343_CR2) 2014; 1 M. A. Yazdanpanah (3343_CR14) 2014; 10 Q. L. Liu (3343_CR6) 2015; 34 K. Zhou (3343_CR16) 2012 S. Touré (3343_CR11) 2005; 30 L. Zhang (3343_CR15) 2016; 2016 S. Kumarvel (3343_CR4) 2010 B. Bhandari (3343_CR1) 2015; 2 S. Pereira (3343_CR10) 2009; 18 L. Kuznia (3343_CR5) 2013; 210 G. S. Payne (3343_CR9) 2007; 221 A. Naamane (3343_CR8) 2009 A. F. D. O. Falcão (3343_CR3) 2010; 14 C. X. Xue (3343_CR13) 2014 M. Lydia (3343_CR7) 2014; 30 Y. Xiong (3343_CR12) 2009; 28 |
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| SubjectTerms | Algorithms Earth and Environmental Science Earth Sciences Electric power generation Electric utilities Energy Energy consumption Genetic algorithms Hybrid systems Integer programming Linear programming Mathematical models Meteorology Mixed integer Oceanography Reliability Tides Wave energy Wave power Wind power Wind power generation 优化配置 发电可靠性 海洋 混合动力系统 混合发电系统 混合整数规划模型 电模型 遗传算法 |
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| Title | Optimization of Wind-Marine Hybrid Power System Configuration Based on Genetic Algorithm |
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