Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect

Peng Hou, Guangya Yang, Weihao Hu, Cong Chen, Mohsen Soltani, Zhe Chen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

In order to reduce the levelised cost of energy (LCOE) of the offshore wind farm, many optimization works should be done to reduce the investment and increase the energy production. As one of the main expenses, the electrical system can take up more than 15% of the total investment while cable costs take a large proportion. In order to make a cost-effective wind farm, the cable connection layout should be optimized. This paper proposes a novel way for offshore wind farm cable connection layout design. The LCOE, which concerns three aspects: electrical power losses, power captured by wind turbines (WT) and investment, is selected to set up the objective function. Since all the optimization variables are integers, a heuristic algorithm, integer particle swarm optimization algorithm (IPSO), is adopted to find a near optimal solution. To improve the performance of the IPSO, an adaptive method for parameter control is used to help to find a better solution. Comparisons are made with results obtained by the Norwegian center for offshore wind energy (NORCOWE) reference wind farm and the presented method. From the simulation, it can be noticed that the presented approach can help to find a cable connection scheme which can reduce the LCOE by 1.75%.
OriginalsprogEngelsk
TitelProceedings of the 2018 IEEE Congress on Evolutionary Computation, CEC 2018
Antal sider8
ForlagIEEE Press
Publikationsdatojul. 2018
Sider1-8
Artikelnummer8477866
ISBN (Trykt)978-1-5090-6018-4
ISBN (Elektronisk)978-1-5090-6017-7
DOI
StatusUdgivet - jul. 2018
Begivenhed2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Rio de Janeiro, Brasilien
Varighed: 8 jul. 201813 jul. 2018

Konference

Konference2018 IEEE Congress on Evolutionary Computation, CEC 2018
LandBrasilien
ByRio de Janeiro
Periode08/07/201813/07/2018
SponsorIEEE, IEEE Computational Intelligence Society (CIS)

Fingerprint

Offshore wind farms
Cables
Costs
Particle swarm optimization (PSO)
Heuristic algorithms
Adaptive algorithms
Wind turbines
Wind power

Citer dette

Hou, P., Yang, G., Hu, W., Chen, C., Soltani, M., & Chen, Z. (2018). Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect. I Proceedings of the 2018 IEEE Congress on Evolutionary Computation, CEC 2018 (s. 1-8). [8477866] IEEE Press. https://doi.org/10.1109/CEC.2018.8477866
Hou, Peng ; Yang, Guangya ; Hu, Weihao ; Chen, Cong ; Soltani, Mohsen ; Chen, Zhe. / Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect. Proceedings of the 2018 IEEE Congress on Evolutionary Computation, CEC 2018. IEEE Press, 2018. s. 1-8
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title = "Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect",
abstract = "In order to reduce the levelised cost of energy (LCOE) of the offshore wind farm, many optimization works should be done to reduce the investment and increase the energy production. As one of the main expenses, the electrical system can take up more than 15{\%} of the total investment while cable costs take a large proportion. In order to make a cost-effective wind farm, the cable connection layout should be optimized. This paper proposes a novel way for offshore wind farm cable connection layout design. The LCOE, which concerns three aspects: electrical power losses, power captured by wind turbines (WT) and investment, is selected to set up the objective function. Since all the optimization variables are integers, a heuristic algorithm, integer particle swarm optimization algorithm (IPSO), is adopted to find a near optimal solution. To improve the performance of the IPSO, an adaptive method for parameter control is used to help to find a better solution. Comparisons are made with results obtained by the Norwegian center for offshore wind energy (NORCOWE) reference wind farm and the presented method. From the simulation, it can be noticed that the presented approach can help to find a cable connection scheme which can reduce the LCOE by 1.75{\%}.",
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Hou, P, Yang, G, Hu, W, Chen, C, Soltani, M & Chen, Z 2018, Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect. i Proceedings of the 2018 IEEE Congress on Evolutionary Computation, CEC 2018., 8477866, IEEE Press, s. 1-8, 2018 IEEE Congress on Evolutionary Computation, CEC 2018, Rio de Janeiro, Brasilien, 08/07/2018. https://doi.org/10.1109/CEC.2018.8477866

Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect. / Hou, Peng; Yang, Guangya; Hu, Weihao; Chen, Cong; Soltani, Mohsen; Chen, Zhe.

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, CEC 2018. IEEE Press, 2018. s. 1-8 8477866.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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Hou P, Yang G, Hu W, Chen C, Soltani M, Chen Z. Cable Connection Scheme Optimization for Offshore Wind Farm Considering Wake Effect. I Proceedings of the 2018 IEEE Congress on Evolutionary Computation, CEC 2018. IEEE Press. 2018. s. 1-8. 8477866 https://doi.org/10.1109/CEC.2018.8477866