Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability
نویسندگان
چکیده
Successful development of wind farms relies on the optimal siting turbines to maximize power capacity under stochastic conditions and wake losses caused by neighboring turbines. This paper presents a novel method quickly generate approximate layouts support infrastructure design decisions. We model quadratic integer formulation discretized layout problem with an undirected graph that succinctly captures spatial dependencies parameters interactions. On graph, we apply probabilistic inference using sequential tree-reweighted message passing turbine siting. assess effectiveness our benchmarking against state-of-the-art branch cut algorithm varying regime complexities farm discretization resolutions. For low resolutions, can produce or nearly are within 3% achieved formulations, at fraction computational cost. As resolution (and thus size) increases, produces up 9% more than best solutions much lower
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ژورنال
عنوان ژورنال: Energy
سال: 2021
ISSN: ['1873-6785', '0360-5442']
DOI: https://doi.org/10.1016/j.energy.2021.120035