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A Parametric Genetic Algorithm Approach to Assess Complementary Options of Large Scale Wind-solar Coupling

Tim Mareda Ludovic Gaudard Franco Romerio

自动化学报(英文版)2017,Vol.4Issue(2):260-272,13.
自动化学报(英文版)2017,Vol.4Issue(2):260-272,13.DOI:10.1109/JAS.2017.7510523

A Parametric Genetic Algorithm Approach to Assess Complementary Options of Large Scale Wind-solar Coupling

A Parametric Genetic Algorithm Approach to Assess Complementary Options of Large Scale Wind-solar Coupling

Tim Mareda 1Ludovic Gaudard 1Franco Romerio2

作者信息

  • 1. the Institute for Environmental Sciences, University of Geneva, Boulevard Carl-Vogt 66 CH-1205 Geneva, Switzerland
  • 2. the Geneva School of Economics and Management(GSEM), University of Geneva, Uni Mail, Bd du Pont-d'Arve 40, CH-1211 Genève 4, Switzerland
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摘要

关键词

Energy optimization/grid integration/genetic algorithm/optimal spatial distribution/power system modeling

Key words

Energy optimization/grid integration/genetic algorithm/optimal spatial distribution/power system modeling

引用本文复制引用

Tim Mareda,Ludovic Gaudard,Franco Romerio..A Parametric Genetic Algorithm Approach to Assess Complementary Options of Large Scale Wind-solar Coupling[J].自动化学报(英文版),2017,4(2):260-272,13.

自动化学报(英文版)

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