Distributed generation planning method for active distribution network based on frog leaping algorithm

In order to improve the fault tolerance of the planned power grid and reduce the transmission loss rate, a frog leaping algorithm based distributed generation planning method for active distribution network is proposed. Considering the source load side fluctuation characteristics, a probability model is constructed to obtain the source load characteristics. Taking this as the input, probabilistic power flow calculation is carried out, and a bi-level programming model is constructed with opportunity constraints. Determine the upper power source location according to the probabilistic power flow calculation results. In order to improve the planning performance, the intermediate and acceleration factors are introduced to improve the frog leaping algorithm, so as to solve the lower level power configuration and realise the distributed generation planning of active distribution network. The results show that the proposed method has strong fault tolerance ability after planning, and the transmission loss rate is 5.8%. The longest planning time is 11.8 s.

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Publication Details

Journal
International Journal of Energy Technology and Policy
Published
2024-09-10
DOI
https://doi.org/10.1504/ijetp.2025.10066469
Primary Topic
Power Systems and Technologies
Type
article
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article

Distributed generation planning method for active distribution network based on frog leaping algorithm

Lijuan Deng, Qilin Wu, Yuanxiang Yu, Yunfei Ao
International Journal of Energy Technology and Policy
Power Systems and Technologies
article

Distributed generation planning method for active distribution network based on frog leaping algorithm

Lijuan Deng, Qilin Wu, Yuanxiang Yu, Yunfei Ao
article en

Abstract

In order to improve the fault tolerance of the planned power grid and reduce the transmission loss rate, a frog leaping algorithm based distributed generation planning method for active distribution network is proposed. Considering the source load side fluctuation characteristics, a probability model is constructed to obtain the source load characteristics. Taking this as the input, probabilistic power flow calculation is carried out, and a bi-level programming model is constructed with opportunity constraints. Determine the upper power source location according to the probabilistic power flow calculation results. In order to improve the planning performance, the intermediate and acceleration factors are introduced to improve the frog leaping algorithm, so as to solve the lower level power configuration and realise the distributed generation planning of active distribution network. The results show that the proposed method has strong fault tolerance ability after planning, and the transmission loss rate is 5.8%. The longest planning time is 11.8 s.

International Journal of Energy Technology and PolicyVol. 20(1/2)
Power Grid Corporation (India) (IN)
Openalex Percentile: Top 87%
Power Systems and Technologies
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Distributed generation planning method for active distribution network based on frog leaping algorithm — Lijuan Deng, Qilin Wu, et al. · International Journal of Energy Technology and Policy (2024) | TGRS Research Map | TGRS