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
Hlavní autori: Shi, Hongda, Li, Linna, Zhao, Chenyu
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
Predmet:
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
genetic algorithm
cost-power generation function
marine energy
multi-energy system
ISSN:1672-5182, 1993-5021, 1672-5174
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Shrnutí: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.
Bibliografia: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
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SourceType-Scholarly Journals-1
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content type line 14
ISSN:1672-5182
1993-5021
1672-5174
DOI:10.1007/s11802-017-3343-3