Collection System Topology for Deep-Sea Offshore Wind Farms Considering Wind Characteristics

DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However, comparing with traditional offshore electrical collection systems, there is a unique operational problem introducing by the DC series-parallel s...

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Published inIEEE transactions on energy conversion Vol. 37; no. 1; pp. 631 - 642
Main Authors Fu, Yang, Liu, Yang, Huang, Ling-ling, Ying, Feixiang, Li, Fangxing
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Abstract DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However, comparing with traditional offshore electrical collection systems, there is a unique operational problem introducing by the DC series-parallel system that is the wind power curtailment caused by the wind power fluctuations. In this paper, a rigorous mathematical analysis of wind power curtailment is conducted, and an optimization model considering wind power curtailment for DC series-parallel collection systems is proposed. To address the particularities of the series-parallel collection system in graph theory, an improved parthenogenetic algorithm (PGA) is suggested to address the optimization problem. The proposed model and optimization algorithms are tested based on a deep-sea OWF with 56 wind turbines (WTs). The simulation results show that considering wind power curtailment during the DC series-parallel system planning helps to save the levelized cable cost of energy (LCCOE) in the long term, and putting the wiring direction of the series as perpendicular as possible to the prevailing wind direction of the OWF helps to increase the power generation of the OWF and reduce LCCOE.
AbstractList DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However, comparing with traditional offshore electrical collection systems, there is a unique operational problem introducing by the DC series-parallel system that is the wind power curtailment caused by the wind power fluctuations. In this paper, a rigorous mathematical analysis of wind power curtailment is conducted, and an optimization model considering wind power curtailment for DC series-parallel collection systems is proposed. To address the particularities of the series-parallel collection system in graph theory, an improved parthenogenetic algorithm (PGA) is suggested to address the optimization problem. The proposed model and optimization algorithms are tested based on a deep-sea OWF with 56 wind turbines (WTs). The simulation results show that considering wind power curtailment during the DC series-parallel system planning helps to save the levelized cable cost of energy (LCCOE) in the long term, and putting the wiring direction of the series as perpendicular as possible to the prevailing wind direction of the OWF helps to increase the power generation of the OWF and reduce LCCOE.
Author Li, Fangxing
Huang, Ling-ling
Fu, Yang
Liu, Yang
Ying, Feixiang
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Cites_doi 10.1109/TSTE.2011.2174260
10.1109/TSTE.2016.2646061
10.1109/JESTPE.2015.2425536
10.1002/we.259
10.1109/TSTE.2020.2980970
10.1145/3209914.3234638
10.1109/TSTE.2018.2829929
10.1109/TEC.2015.2417130
10.1109/TPEL.2018.2834965
10.1109/TSTE.2018.2839712
10.1049/joe.2017.0528
10.1109/TSTE.2016.2549602
10.1002/we.507
10.1049/cp.2016.0455
10.1049/cp.2012.1948
10.1016/j.asoc.2017.12.031
10.1109/TIA.2007.908182
10.1109/TPWRS.2019.2957312
10.1109/PESGM.2012.6344689
10.1109/TPWRD.2019.2960405
10.1109/TSTE.2019.2942541
10.1109/TEC.2006.889624
10.1109/ACEMP-OPTIM44294.2019.9007223
10.1049/iet-rpg.2017.0457
10.1016/j.renene.2011.08.053
10.1109/TIE.2013.2245619
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References ref13
ref12
ref15
Lundberg (ref21) 2006
ref14
ref30
ref11
ref10
ref17
ref16
ref19
ref18
Snnichsen (ref2) 2020
Qin (ref31)
ref24
ref23
ref26
ref20
ref22
Maojun (ref25) 2002
ref28
ref27
ref29
ref8
ref7
(ref1) 2020
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref27
  doi: 10.1109/TSTE.2011.2174260
– ident: ref13
  doi: 10.1109/TSTE.2016.2646061
– year: 2006
  ident: ref21
  article-title: Wind farm configuration and energy efficiency studies series DC versus AC layouts
– ident: ref23
  doi: 10.1109/JESTPE.2015.2425536
– ident: ref22
  doi: 10.1002/we.259
– ident: ref4
  doi: 10.1109/TSTE.2020.2980970
– ident: ref29
  doi: 10.1145/3209914.3234638
– start-page: 1544
  volume-title: Proc. 7th Annu. IEEE Int. Conf. Cyber Technol. Automat. Control Intell. Syst.
  ident: ref31
  article-title: Sensor optimal placement based on single parents genetic algorithm
– ident: ref19
  doi: 10.1109/TSTE.2018.2829929
– ident: ref3
  doi: 10.1109/TEC.2015.2417130
– ident: ref17
  doi: 10.1109/TPEL.2018.2834965
– ident: ref16
  doi: 10.1109/TSTE.2018.2839712
– ident: ref6
  doi: 10.1049/joe.2017.0528
– year: 2002
  ident: ref25
  article-title: Theory and application of the partheno-genetic algorithm
– year: 2020
  ident: ref1
  article-title: Global wind report 2019
– ident: ref14
  doi: 10.1109/TSTE.2016.2549602
– ident: ref18
  doi: 10.1002/we.507
– ident: ref8
  doi: 10.1049/cp.2016.0455
– ident: ref9
  doi: 10.1049/cp.2012.1948
– ident: ref30
  doi: 10.1016/j.asoc.2017.12.031
– ident: ref10
  doi: 10.1109/TIA.2007.908182
– ident: ref15
  doi: 10.1109/TPWRS.2019.2957312
– ident: ref28
  doi: 10.1109/PESGM.2012.6344689
– ident: ref7
  doi: 10.1109/TPWRD.2019.2960405
– year: 2020
  ident: ref2
  article-title: Worldwide capacity of offshore wind power 2009-2019
– ident: ref5
  doi: 10.1109/TSTE.2019.2942541
– ident: ref11
  doi: 10.1109/TEC.2006.889624
– ident: ref12
  doi: 10.1109/ACEMP-OPTIM44294.2019.9007223
– ident: ref20
  doi: 10.1049/iet-rpg.2017.0457
– ident: ref26
  doi: 10.1016/j.renene.2011.08.053
– ident: ref24
  doi: 10.1109/TIE.2013.2245619
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Snippet DC series-parallel collection system has recently been widely discussed for integrating deep-sea OWFs because it saves the offshore HVDC stations. However,...
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SubjectTerms Algorithms
Collection
DC series-parallel collection system
Deep sea environments
Fluctuations
Graph theory
improved parthenogenetic algorithm
Mathematical analysis
Offshore
Offshore energy sources
offshore wind farm
Operational problems
Optimization
Planning
Power generation
Topology
Wind direction
Wind farms
Wind power
wind power curtailment
Wind power generation
Wind speed
Wind turbines
Wiring
Title Collection System Topology for Deep-Sea Offshore Wind Farms Considering Wind Characteristics
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