Path Optimization of Submarine Cables for Offshore Wind Farm Considering Feeder Crossing Avoidance

doi:10.11930/j.issn.1004-9649.202201026

Abstract

Abstract: The topology optimization of power collection in offshore wind farms is a large-scale non-convex and nonlinear optimization problem, for which it is difficult to obtain the optimal solution. It is therefore divided into two parts: internal topology optimization and feeder path optimization. Inside the partition, the optimal topology mode is obtained by taking economy as the objective function with consideration of submarine cable selection. In the feeder part, aiming at the submarine cable crossing problem, a partition regularization scheme is proposed with consideration of the actual construction engineering constraints of the wind turbines. By using the improved Dijkstra algorithm, the transition from the traditional line-line intersection judgment to the line-surface intersection judgment is realized, and the situation that the crossover experiment cannot judge the submarine cable crossing is avoided. Finally, a case study of two offshore wind farms is studied and the proposed algorithm is compared with other topological results, which has proved the feasibility and superiority of the proposed algorithm.

Key words: large-scale offshore wind farm, collection system, topology optimization, feeder, improved Dijkstra algorithm

YE Jing, ZHOU Guanghao, ZHANG Lei, YANG Li, ZHAI Xue, CAI Junwen. Path Optimization of Submarine Cables for Offshore Wind Farm Considering Feeder Crossing Avoidance[J]. Electric Power, 2023, 56(6): 167-175.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202201026

https://www.electricpower.com.cn/EN/Y2023/V56/I6/167

References

[1] 蔡旭, 杨仁炘, 周剑桥, 等. 海上风电直流送出与并网技术综述[J]. 电力系统自动化, 2021, 45(21): 2–22
CAI Xu, YANG Renxin, ZHOU Jianqiao, et al. Review on offshore wind power integration via DC transmission[J]. Automation of Electric Power Systems, 2021, 45(21): 2–22
[2] 唐巍, 郭雨桐, 闫姝, 等. 多场景海上风电场关键设备技术经济性分析[J]. 中国电力, 2021, 54(7): 178–184, 216
TANG Wei, GUO Yutong, YAN Shu, et al. Techno-economic analysis of key equipment for offshore wind farms with multiple scenarios[J]. Electric Power, 2021, 54(7): 178–184, 216
[3] 赵红阳, 叶荣, 王秀丽, 等. 计及风电汇集系统静态电压稳定性的网储联合规划[J]. 智慧电力, 2021, 49(5): 15–20, 34
ZHAO Hongyang, YE Rong, WANG Xiuli, et al. Coordinated planning of transmission network and energy storage systems considering static voltage stability of wind integration system[J]. Smart Power, 2021, 49(5): 15–20, 34
[4] 向宁, 王礼茂, 屈秋实, 等. 基于生命周期评估的海、陆风电系统排放对比[J]. 资源科学, 2021, 43(4): 745–755
XIANG Ning, WANG Limao, QU Qiushi, et al. Comparison of emissions from offshore and onshore wind power systems based on life cycle assessment[J]. Resources Science, 2021, 43(4): 745–755
[5] 谭振龙, 钱相宜, 蔡文畅. 配置高抗站的海上风电长距离海缆送出继电保护分析[J]. 中国电力, 2021, 54(8): 175–181
TAN Zhenlong, QIAN Xiangyi, CAI Wenchang. Analysis of relay protection for offshore wind power long-distance submarine cable transmission with high resistance station[J]. Electric Power, 2021, 54(8): 175–181
[6] HOU P, HU W H, SOLTANI M, et al. Combined optimization for offshore wind turbine micro siting[J]. Applied Energy, 2017, 189: 271–282.
[7] WANG L, WU J H, WANG T G, et al. An optimization method based on random fork tree coding for the electrical networks of offshore wind farms[J]. Renewable Energy, 2020, 147: 1340–1351.
[8] 谭任深. 海上风电场工程集电系统拓扑设计研究[J]. 南方能源建设, 2015, 2(3): 67–71
TAN Renshen. Research on the topology design of offshore wind farm collection system[J]. Southern Energy Construction, 2015, 2(3): 67–71
[9] 陈宁. 大型海上风电场集电系统优化研究[D]. 上海: 上海电力学院, 2011.
CHEN Ning. Large-scale offshore wind farm electrical collection systems optimization[D]. Shanghai: Shanghai University of Electric Power, 2011.
[10] HUANG L L, CHEN N, ZHANG H Y, et al. Optimization of large-scale offshore wind farm electrical collection systems based on improved FCM[C]//International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012). Hangzhou. IET, 2012: 1–6.
[11] 赵东来, 牛东晓, 杨尚东, 等. 基于改进遗传算法的海上风电场消纳拓扑结构优化模型[J]. 中南大学学报(自然科学版), 2019, 50(4): 998–1004
ZHAO Donglai, NIU Dongxiao, YANG Shangdong, et al. Optimizing model of topological structure for offshore wind farm absorption based on improved genetic algorithms[J]. Journal of Central South University (Science and Technology), 2019, 50(4): 998–1004
[12] ZUO T J, MENG K, TONG Z Y, et al. Offshore wind farm collector system layout optimization based on self-tracking minimum spanning tree[J]. International Transactions on Electrical Energy Systems, 2019, 29(2): e2729.
[13] SHIN J S, KIM J O. Optimal design for offshore wind farm considering inner grid layout and offshore substation location[J]. IEEE Transactions on Power Systems, 2017, 32(3): 2041–2048.
[14] 戚远航, 侯鹏, 金荣森. 基于Q学习粒子群算法的海上风电场电气系统拓扑优化[J]. 电力系统自动化, 2021, 45(21): 66–75
QI Yuanhang, HOU Peng, JIN Rongsen. Optimization of electrical system topology for offshore wind farm based on Q-learning particle swarm optimization algorithm[J]. Automation of Electric Power Systems, 2021, 45(21): 66–75
[15] DUTTA S, OVERBYE T J. Optimal wind farm collector system topology design considering total trenching length[J]. IEEE Transactions on Sustainable Energy, 2012, 3(3): 339–348.
[16] HOU P, HU W H, ZHE C. Offshore substation locating in wind farms based on prim algorithm[C]//2015 IEEE Power & Energy Society General Meeting. Denver, CO, USA. IEEE, 2015: 1–5.
[17] 汪惟源, 乔颖, 窦飞, 等. 基于改进遗传算法的海上风电场集电系统拓扑优化[J]. 中国电力, 2019, 52(1): 63–68
WANG Weiyuan, QIAO Ying, DOU Fei, et al. Optimization of offshore wind farm collector systems based on improved genetic algorithm[J]. Electric Power, 2019, 52(1): 63–68
[18] HOU P, HU W H, CHEN C, et al. Overall optimization for offshore wind farm electrical system[J]. Wind Energy, 2017, 20(6): 1017–1032.
[19] AURENHAMMER F. Voronoi diagrams—a survey of a fundamental geometric data structure[J]. ACM Computing Surveys, 1991, 23(3): 345–405.
[20] FANG Z X, TU W, LI Q Q, et al. A Voronoi neighborhood-based search heuristic for distance/capacity constrained very large vehicle routing problems[J]. International Journal of Geographical Information Science, 2013, 27(4): 741–764.
[21] OKABE A, BOOTS B, SUGIHARA K, et al. Spatial tessellations: concepts and applications of Voronoi diagrams[M]. John Wiley & Sons, 2009.
[22] 曲名新, 邓少平, 翟学, 等. 考虑多升压站与障碍区的海上风电场集电系统拓扑优化[J]. 水利水电技术(中英文), 2022, 53(2): 184–193
QU Mingxin, DENG Shaoping, ZHAI Xue, et al. Multiple booster stations and obstacle areas-considered topology optimization of offshore wind farm power collection system[J]. Water Resources and Hydropower Engineering, 2022, 53(2): 184–193
[23] 梁小华, 杨欢红, 薛冰, 等. 一种配电网开路潮流转移危险线路的识别方法[J]. 电力系统保护与控制, 2021, 49(23): 11–17
LIANG Xiaohua, YANG Huanhong, XUE Bing, et al. An identification method for dangerous lines under power flow transfer in a distribution network open circuit[J]. Power System Protection and Control, 2021, 49(23): 11–17
[24] 黄伟, 闫彬禹, 谭茂强, 等. 考虑障碍区影响的海上风电场集电系统拓扑设计[J]. 现代电力, 2018, 35(1): 6–13
HUANG Wei, YAN Binyu, TAN Maoqiang, et al. Research on optimal design of wind power collection system for offshore wind farms considering the influence of obstacles area[J]. Modern Electric Power, 2018, 35(1): 6–13