DocumentCode
647641
Title
Transmission system topology optimization for large-scale offshore wind integration
Author
Ergun, Hakan ; Van Hertem, Dirk ; Belmans, Ronnie
Author_Institution
ESAT-Electa, KU Leuven, Leuven, Belgium
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
1
Abstract
Summary form only given. A method to determine the optimal transmission system topology for multiple offshore wind farms is introduced using a rule-based generic algorithm. The methodology is implemented as a software tool determining the best economical and technically feasible offshore transmission solution. The optimization algorithm takes radial, ring shaped, and meshed transmission topologies into consideration. Besides the investments for the offshore grid also new connections or reinforcements in the existing onshore grid are proposed by the algorithm. The developed tool delivers a set of transmission system topologies ranked after their life cycle system costs with their corresponding transmission voltage and technology (HVAC or HVDC), the necessary transmission equipment, and its rating. The optimization results are based on publicly available data. The achieved results are compared with other studies and validated. The developed tool can be used in the planning phase as a guidance for offshore developers with investment decisions and for long-term offshore grid planning, e.g., towards an offshore supergrid.
Keywords
genetic algorithms; life cycle costing; offshore installations; power generation economics; power generation planning; power transmission economics; power transmission planning; wind power plants; investment decisions; large-scale offshore wind integration; life cycle system costs; long-term offshore grid planning; meshed transmission topology; offshore grid investment; offshore supergrid; offshore wind farms; onshore grid; planning phase; radial transmission topology; ring-shaped transmission topology; rule-based generic algorithm; software tool; transmission equipment; transmission system topology; transmission system topology optimization; Investment; Optimization; Planning; Software algorithms; Software tools; Topology; Wind farms;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672160
Filename
6672160
Link To Document