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- Title
Stochastic Wind Power Generation Planning in Liberalised Electricity Markets within a Heterogeneous Landscape.
- Authors
Sund, Lennard; Talari, Saber; Ketter, Wolfgang
- Abstract
Spatially separated locations may differ greatly with respect to their electricity demand, available space, and local weather conditions. Thus, the regions that are best suited to operating wind turbines are often not those where electricity is demanded the most. Optimally, renewable generation facilities are constructed where the maximum generation can be expected. With transmission lines limited in capacity though, it might be economically rational to install renewable power sources in geographically less favourable locations. In this paper, a stochastic bilevel optimisation is developed as a mixed-integer linear programme to find the socially optimal investment decisions for generation expansion in a multi-node system with transmission constraints under an emissions reduction policy. The geographic heterogeneity is captured by using differently skewed distributions as a basis for scenario generation for wind speeds as well as different opportunities to install generation facilities at each node. The results reinforce that binding transmission constraints can greatly decrease total economic and emissions efficiency, implying additional incentives to enhance transmission capacity between the optimal supplier locations and large demand centres.
- Subjects
ELECTRICITY markets; WIND power; ELECTRIC power consumption; SKEWNESS (Probability theory); ELECTRIC lines; LINEAR programming
- Publication
Energies (19961073), 2022, Vol 15, Issue 21, p8109
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en15218109