Sund, Lennard ORCID: 0000-0001-8632-9429, Talari, Saber ORCID: 0000-0003-1368-781X and Ketter, Wolfgang ORCID: 0000-0001-9008-142X (2022). Stochastic Wind Power Generation Planning in Liberalised Electricity Markets within a Heterogeneous Landscape. Energies, 15 (21). BASEL: MDPI. ISSN 1996-1073

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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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Sund, LennardUNSPECIFIEDorcid.org/0000-0001-8632-9429UNSPECIFIED
Talari, SaberUNSPECIFIEDorcid.org/0000-0003-1368-781XUNSPECIFIED
Ketter, WolfgangUNSPECIFIEDorcid.org/0000-0001-9008-142XUNSPECIFIED
URN: urn:nbn:de:hbz:38-669144
DOI: 10.3390/en15218109
Journal or Publication Title: Energies
Volume: 15
Number: 21
Date: 2022
Publisher: MDPI
Place of Publication: BASEL
ISSN: 1996-1073
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
MULTIOBJECTIVE OPTIMIZATION; ENERGY; SYSTEM; GAS; CARBON; MODELMultiple languages
Energy & FuelsMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/66914

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