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Onshore wind farm - Reliability centered cable routing
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering. (QED)ORCID iD: 0000-0002-6779-4082
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0003-2025-5759
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering. (QED)ORCID iD: 0000-0002-2964-7233
2021 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 196, p. 107201-Article in journal (Refereed) Published
Abstract [en]

Designing an onshore wind farm is a complex planning process that requires various stages to be completed. The prime focus of this work is to assist planners and experts in finding the optimal cable layout of the onshore wind farm. The optimization algorithm is designed using mixed integer linear programming (MILP). The MILP algorithm takes into account system reliability, power transfer capacities and power quality issue. The novelty in this optimization algorithm is to simultaneously minimize cable installation cost and the cost of lost energy production and therefore maximize the reliability of the system. Additionally, the algorithm supports the optimal selection among different cable options, with different features, prices and capacities. By calculating voltage increase at the point of connection (POC), power quality issue is considered as well. The designed algorithm provides optimal results for four different wind farm layouts. Every layout is tested for three different case scenarios, where different number and type of cables are considered. The results show that more cable options contribute in lowering the total costs. Moreover, cables with higher capacity can help in improving the power quality issue.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 196, p. 107201-
Keywords [en]
Distribution system, distribution system planning, cable routing, wind farm, mixed-integer programming, power system reliability
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-292743DOI: 10.1016/j.epsr.2021.107201ISI: 000663086100005Scopus ID: 2-s2.0-85104138201OAI: oai:DiVA.org:kth-292743DiVA, id: diva2:1543853
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage, CP26
Note

QC 20210720

Available from: 2021-04-13 Created: 2021-04-13 Last updated: 2022-06-25Bibliographically approved

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Duvnjak Zarkovic, SanjaShayesteh, EbrahimHilber, Patrik

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CiteExportLink to record
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Citation style
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