收藏切换
Topology Optimization of Large-scale Offshore Wind Power Collection System Based on Improved Partheno Genetic Algorithm
收藏切换
PDF
Yu-kuan YUAN1, Xiao-yue CHEN1, Hai HUANG2, Rong YE3, Jian-jun YANG4, Jing-yi LI4
Water Resources and Power | 2023, 41(1) : 212 - 216
Less
收藏切换
Water Resources and Power | 2023, 41(1): 212-216
ENERGY
Topology Optimization of Large-scale Offshore Wind Power Collection System Based on Improved Partheno Genetic Algorithm
Full
Yu-kuan YUAN1, Xiao-yue CHEN1, Hai HUANG2, Rong YE3, Jian-jun YANG4, Jing-yi LI4
Affiliations
  • 1.School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
  • 2.State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China
  • 3.Economic and Technical Research Institute of State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China
  • 4.PowerChina Huadong Engineering Corporation Limited, Hangzhou 311122, China
Published: 2023-01-25 doi: 10.20040/j.cnki.1000-7709.2023.20220392
Outline
收藏切换

Aiming at the topology optimization of large-scale offshore wind power collection system, an improved partheno genetic algorithm was proposed. The calculation model of the present value of the life cycle cost of the power collection system was established. Taking the minimum of the sum of present value as the goal, the population generation mode meeting the current carrying capacity constraints of the submarine cable and the elimination coefficient related to the number of crossing points were designed to avoid the submarine cable crossing. The topology of the power collection system with 35 kV and 66 kV voltage levels was optimized and compared. The example results show that the total cost of the improved partheno genetic algorithm can be reduced by 14.2% compared with the traditional algorithm; Compared with 35 kV, 66 kV voltage level has better comprehensive benefits, which can provide reference for the planning and design of large-scale offshore wind farm power collection system.

large-scale offshore wind farm  /  collection system  /  topology  /  partheno-genetic algorithm  /  life cycle cost
Yu-kuan YUAN, Xiao-yue CHEN, Hai HUANG, Rong YE, Jian-jun YANG, Jing-yi LI. Topology Optimization of Large-scale Offshore Wind Power Collection System Based on Improved Partheno Genetic Algorithm[J]. Water Resources and Power, 2023 , 41 (1) : 212 -216 . DOI: 10.20040/j.cnki.1000-7709.2023.20220392
Year 2023 volume 41 Issue 1
PDF
55
8
Cite this Article
BibTeX
Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220392
  • Receive Date:2022-03-03
  • Online Date:2026-01-28
  • Published:2023-01-25
Article Data
Affiliations
History
  • Received:2022-03-03
  • Revised:2022-04-05
Funding
Affiliations
    1.School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
    2.State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China
    3.Economic and Technical Research Institute of State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China
    4.PowerChina Huadong Engineering Corporation Limited, Hangzhou 311122, China
References
Share
https://castjournals.cast.org.cn/joweb/sdnykx/EN/10.20040/j.cnki.1000-7709.2023.20220392
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT