基于改进遗传算法的海上风电场集电系统拓扑优化

doi:10.11930/j.issn.1004-9649.201806043

中国电力 ›› 2019, Vol. 52 ›› Issue (1): 63-68.DOI: 10.11930/j.issn.1004-9649.201806043

基于改进遗传算法的海上风电场集电系统拓扑优化

汪惟源¹, 乔颖², 窦飞¹, 杨林¹, 张宇精²

1. 国网江苏省电力有限公司, 江苏南京 210008;
2. 清华大学电机工程与应用电子技术系, 北京 100084

收稿日期:2018-06-15 修回日期:2018-09-11 出版日期:2019-01-05 发布日期:2019-01-14
作者简介:汪惟源(1975-),男,高级工程师,从事电网规划研究、电网项目前期管理工作,E-mail:wangwy@js.sgcc.com.cn
基金资助:
国家自然科学基金智能电网联合基金（高比例可再生能源未来电网的源网协调一体化规划基础理论与关键，U1766201）；国家电网公司科技项目（大型海上风电基地风资源开发评估及源-网-荷协调运营策略关键技术研究，52100116001W）。

Optimization of Offshore Wind Farm Collector Systems Based on Improved Genetic Algorithm

WANG Weiyuan¹, QIAO Ying², DOU Fei¹, YANG Lin¹, ZHANG Yujing²

1. State Grid Jiangsu Electric Power Co.,Ltd., Nanjing 210008, China;
2. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China

Received:2018-06-15 Revised:2018-09-11 Online:2019-01-05 Published:2019-01-14
Supported by:
This work is supported by Joint Research Fund for Smart Grid of National Natural Science Foundation of China (Research on Basic Theory and Key Technologies of Integrated Generation and Transmission Planning of Future High Renewable Power Penetrated Grid, No. U1766201), Science and Technology Project of State Grid Corporation of China (Large Scale Offshore Wind Farm's Wind Resources Assessment and Coordinated Operation of Source-Grid-Load Research, No.52100116001W).

摘要/Abstract

摘要： 海上风电的集电系统的投资成本占比高，对集电系统的拓扑进行优化对降低固定投资有重要意义。集电系统的拓扑优化问题可转化成一个动态变权的最小生成树问题，由于边权变化与拓扑优化相互耦合，无法用传统的生成树方法求解。采用改进的遗传算法，通过优选初始种群、采用链表式编码、精英选择算子的环节改进，既提高了算法效率，又可处理海缆不可交叉等复杂约束。算例表明优化算法具有较好的寻优性和收敛性。

关键词: 海上风电, 集电系统, 拓扑优化, 遗传算法

Abstract: The cost of offshore wind farm's collector system constitutes a significant proportion of the wind farm's total investment, it is thus very significant to make a topology optimization of the collector system for reducing the fixed investment. The topology optimal problem can be modeled as a minimum spanning tree problem with dynamic edge weight. Because the edge weight is coupled with topology optimization, it cannot be solved by traditional methods. Through improvement in initial population selection, use of linked list coding and elite genetic operators, the improved genetic algorithm is engaged in the paper, which can not only improve the algorithm's efficiency, but also better address the complicated restrains of uncrossed marine cables. The case study shows the improved GA has good capability in optimization searching and convergence.

Key words: offshore wind power, collector system, topology optimization, genetic algorithm

中图分类号:

TM726.4

汪惟源, 乔颖, 窦飞, 杨林, 张宇精. 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, YANG Lin, ZHANG Yujing. Optimization of Offshore Wind Farm Collector Systems Based on Improved Genetic Algorithm[J]. Electric Power, 2019, 52(1): 63-68.

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基于改进遗传算法的海上风电场集电系统拓扑优化

Optimization of Offshore Wind Farm Collector Systems Based on Improved Genetic Algorithm

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基于改进遗传算法的海上风电场集电系统拓扑优化

Optimization of Offshore Wind Farm Collector Systems Based on Improved Genetic Algorithm

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