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Volumn 50, Issue , 2014, Pages 368-375

Multiobjective optimization of renewable energy penetration rate in power systems

Author keywords

Evolutionary Algorithms; Multiobjective Optimization; NSGA II; Power System Reliability; Renewable Energy Cost

Indexed keywords


EID: 84905696548     PISSN: 18766102     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.egypro.2014.06.044     Document Type: Conference Paper
Times cited : (40)

References (17)
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    • Optimal design and techno-economic analysis of a hybrid solarwind power generation system
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    • Hongxing, Y.1    Wei, Z.2    Chengzhi, L.3
  • 13
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    • Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review
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  • 15
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    • Optimal design and techno-economic analysis of a hybrid solarwind power generation system
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  • 17
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    • Official website of elia (Nov. 2013). URL
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.