Grouping-Based Optimal Design of Collector System Topology for a Large-Scale Offshore Wind Farm by Improved Simulated Annealing  

作　　者：Ruilin Chen Zeyu Zhang Junxuan Hu Lei Zhao Chuangzhi Li Xiaoshun Zhang 

机构地区：[1]Shantou University,Shantou,China [2]ZHONGNAN ENGINEERING CORPORATION LIMITED [3]North China Electric Power University [4]Department of Electronic and Information Engineering,College of Engineering,ShantouUniversity,Shantou,China [5]Sichuan university,Chengdu,China [6]Foshan Graduate School,Northeastern University,Foshan 528311,China [7]College of Information Science and Engineering,Northeastern University,Shenyang 110819,China

出　　处：《Protection and Control of Modern Power Systems》2024年第1期94-111,共18页现代电力系统保护与控制（英文）

基　　金：supported by the National Key Research and Development Program of China(No.2022YFF0606600);the Fundamental Research Funds for the Central Universities(No.N2229001).

摘　　要：During the construction of an offshore wind farm(OWF),the capital cost of the collector cable system accounts for a large proportion of the total cost.Consequently,the optimal design of the collector system topology(CST)is one of the most crucial tasks in OWF planning.However,for a large-scale OWF,the optimal design of CST is a complex integer programming problem with high-dimension variables and various constraints.Therefore,it is difficult to acquire a high-quality optimal design scheme.To address this issue,this paper proposes a new grouping-based optimal design of CST for a large-scale OWF.First,all the wind turbines are divided into multiple groups according to their geographical locations and the maximum allowed connected wind turbines by each cable.This not only reduces the optimization dimension and difficulty,but also effectively satisfies the‘no cross’constraint by putting the geographically closed wind turbines into the same group.Secondly,the electrical topology among different wind turbines in each group is initially generated by an improved dynamic minimum spanning tree(DMST).The division groups of the OWF are then adjusted to further reduce the capital cost by improved simulated annealing.To verify the proposed technique,comparison case studies are carried out with five algorithms on two different OWF.

关 键 词：DIMENSION OPTIMAL initially 

分 类 号：TM614[电气工程—电力系统及自动化]