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

doi:10.11930/j.issn.1004-9649.201806043

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

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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).

Abstract

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

CLC Number:

TM726.4

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

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