RESEARCH ON FAULT LOCATION OF DC DISTRIBUTION NETWORK BASED ON ADAPTIVE ARTIFICIAL BEE COLONY SLIME MOULD ALGORITHM

Xu Yan; Wang Ruolin; Hu Ziqi; Ma Tianxiang; Guo Mingxin

doi:10.19912/j.0254-0096.tynxb.2022-1290

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (12) : 526-532. DOI: 10.19912/j.0254-0096.tynxb.2022-1290

RESEARCH ON FAULT LOCATION OF DC DISTRIBUTION NETWORK BASED ON ADAPTIVE ARTIFICIAL BEE COLONY SLIME MOULD ALGORITHM

Xu Yan¹, Wang Ruolin¹, Hu Ziqi¹, Ma Tianxiang², Guo Mingxin¹

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Abstract

In order to overcome the problems of previous algorithms in DC distribution network fault location, including slow convergence speed, easy to fall into local minimum and low convergence accuracy, an improved artificial bee colony slime mould algorithm was adopted. On the basis of this algorithm, adaptive adjustable feedback factor and optimized crossover operator were introduced to improve the convergence speed, and artificial bee colony algorithm was combined to enhance the search ability. An improved adaptive artificial bee colony slime mould algorithm（ISMA） was formed, thus effectively solving the problem of fault location.. Firstly, based on the six-terminal DC distribution network topology, a mathematical model of bipolar short-circuit fault as well as single-pole grounded short-circuit fault is established taking a fault occurring between G-VSC and W-VSC as an example. Then the principle of the improved artificial bee colony slime algorithm is introduced in detail, and a suitable fitness function is established as the measure of fault location in DC distribution network. Finally, experimental simulations are conducted to obtain fault points from the optimization search and compare them with the actual values to verify the accuracy of the algorithm. In addition, the efficiency and robustness of the artificial bee colony slime mould algorithm are further verified by comparing with other algorithms.

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distribution networks / fault location / parameter identification / DC distribution system / artificial bee colony slime mould algorithm

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Xu Yan, Wang Ruolin, Hu Ziqi, Ma Tianxiang, Guo Mingxin. RESEARCH ON FAULT LOCATION OF DC DISTRIBUTION NETWORK BASED ON ADAPTIVE ARTIFICIAL BEE COLONY SLIME MOULD ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(12): 526-532 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1290

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