OPTIMIZATION OF CIRCULAR COLLECTION LINE IN WIND FARMS BASED ON FREQUENCY GRAPH-ANT COLONY ALGORITHM

Zheng Wenfa, Wang Yong

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 324-331.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 324-331. DOI: 10.19912/j.0254-0096.tynxb.2024-1973

OPTIMIZATION OF CIRCULAR COLLECTION LINE IN WIND FARMS BASED ON FREQUENCY GRAPH-ANT COLONY ALGORITHM

  • Zheng Wenfa, Wang Yong
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Abstract

To tackle the issues of large search space and long computation time for searching the optimal circular collection line in wind farms, the optimization method is proposed based on the frequency graph-ant colony algorithm. Firstly, the distance matrix is constructed using according to the coordinates of wind turbines in a given wind farm. Secondly, the frequency graph model is computed with the frequency quadrilaterals, which illustrates the wind turbines and their connections. The distance matrix is converted into the frequency matrix. In the frequency matrix, the frequencies of the lines in the optimal solution are higher than those of most of the other lines between the wind turbines. Based on this property, a lot of the lines excluding from the optimal solution while between the wind turbines are eliminated. The search space of the optimal solution is significantly reduced. The ant colony algorithm is employed to detect the optimal solution within the reduced search space and the optimal or near-optimal solution is found. The experimental results illustrated that approximately 70% of lines that are not in the optimal solution are deleted. It greatly reduces the search space of the optimal solution and verifies the advantages of the frequency graph.

Key words

wind farm / electric lines / path planning / frequency graph / ant colony algorithm

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Zheng Wenfa, Wang Yong. OPTIMIZATION OF CIRCULAR COLLECTION LINE IN WIND FARMS BASED ON FREQUENCY GRAPH-ANT COLONY ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 324-331 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1973

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