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

Publié dansIEEE/CAA journal of automatica sinica, vol. 4, no. 2, p. 260-272
Date de publication2017
Résumé

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.

Mots-clés
  • Energy optimization
  • Grid integration
  • Genetic algorithm
  • Optimal spatial distribution
  • Power system modeling
Citation (format ISO)
MAREDA, Tim, GAUDARD, Ludovic, ROMERIO-GIUDICI, Franco. A parametric genetic algorithm approach to assess complementary options of large scale windsolar coupling. In: IEEE/CAA journal of automatica sinica, 2017, vol. 4, n° 2, p. 260–272. doi: 10.1109/JAS.2017.7510523
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Article (Published version)
accessLevelPublic
Identifiants
ISSN du journal2329-9266
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Informations techniques

Création25.04.2017 12:07:00
Première validation25.04.2017 12:07:00
Heure de mise à jour15.03.2023 01:38:19
Changement de statut15.03.2023 01:38:19
Dernière indexation16.01.2024 23:51:09
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