A parametric genetic algorithm approach to assess complementary options of large scale windsolar coupling

Article Article scientifique Article A parametric genetic algorithm approach to assess complementary options of large scale windsolar coupling eng 2017 author Mareda Tim 688276 author Gaudard Ludovic 583322 author Romerio-Giudici Franco 29660 260-272 10.1109/JAS.2017.7510523 2329-9266 http://ieeexplore.ieee.org/document/7894136/ The transitional path towards a highly renewable power system based on wind and solar energy sources is inves- tigated considering their intermittent and spatially distributed characteristics. Using an extensive weather-driven simulation of hourly power mismatches between generation and load, we explore the interplay between geographical resource complemen- tarity and energy storage strategies. Solar and wind resources are considered at variable spatial scales across Europe and related to the Swiss load curve, which serve as a typical demand side reference. The optimal spatial distribution of renewable units is further assessed through a parameterized optimization method based on a genetic algorithm. It allows us to explore systematically the effective potential of combined integration strategies depending on the sizing of the system, with a focus on how overall performance is affected by the definition of network boundaries. Upper bounds on integration schemes are provided considering both renewable penetration and needed reserve power capacity. The quantitative trade-off between grid extension, storage and optimal wind-solar mix is highlighted. This paper also brings insights on how optimal geographical distribution of renewable units evolves as a function of renewable penetration and grid extent. Energy optimization Grid integration Genetic algorithm Optimal spatial distribution Power system modeling Dewey 333.7-333.9 18 Institut des sciences de l'environnement 0DB false 651 Energie, politique et économie IEEE/CAA journal of automatica sinica 4 2 5bd041a7-18dc-4f8e-8186-f0beb25eb07f Article (Published version) Public Maredaetal_2017.pdf 17475520 application/pdf openAccess Centres et instituts / Institut des sciences de l'environnement

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A parametric genetic algorithm approach to assess complementary options of large scale windsolar coupling	IEEE/CAA journal of automatica sinica			2017	585	730

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Mareda, Tim