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Distribution Network Loss Reduction Technology Based on Network Reconstruction
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Jing HE1, Feng-ran LI1, Wei-kang GU1, Hao-dong PANG1, Ya-huai YANG1, Ze-zhou WANG2, Zhong-dong YIN1, *
Science Technology and Engineering | 2025, 25(1) : 219 - 226
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Science Technology and Engineering | 2025, 25(1): 219-226
• Papers·Electrical Technology •
Distribution Network Loss Reduction Technology Based on Network Reconstruction
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Jing HE1, Feng-ran LI1, Wei-kang GU1, Hao-dong PANG1, Ya-huai YANG1, Ze-zhou WANG2, Zhong-dong YIN1, *
Affiliations
  • 1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • 2. Haiyan County Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Jiaxing 314300, China
Published: 2025-01-08 doi: 10.12404/j.issn.1671-1815.2402186
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With the transition from traditional centralized power systems to distributed energy systems, harmonics are produced due to the penetration of renewable energy, resulting in additional losses. Distribution network loss accounts for more than half of the total system loss and is the focus of network loss reduction. A network reconstruction method based on improved binary particle swarm optimization algorithm was proposed to reduce distribution network loss. Firstly, considering the influence of harmonic wave on network loss and the harmonic effect of the line under high frequency current, the line impedance was modified. Then, the total loss of the network was calculated using the corrected impedance, and a probabilistic reverse learning approach suitable for binary algorithms was creatively proposed, integrating the theory of the good point set to obtain uniform and diverse initial particles. Finally, taking the modified 33 node power system as an example, the optimization objective was to minimize the total loss and obtain the optimal topology structure of the distribution network. The experimental results show that the distribution network reconstruction considering harmonic factors has played a good role in reducing the loss of distribution network.

network reconstruction  /  network harmonic loss  /  the good point set  /  probabilistic reverse learning
Jing HE, Feng-ran LI, Wei-kang GU, Hao-dong PANG, Ya-huai YANG, Ze-zhou WANG, Zhong-dong YIN. Distribution Network Loss Reduction Technology Based on Network Reconstruction[J]. Science Technology and Engineering, 2025 , 25 (1) : 219 -226 . DOI: 10.12404/j.issn.1671-1815.2402186
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Article Info
doi: 10.12404/j.issn.1671-1815.2402186
  • Receive Date：2024-03-27
  • Online Date：2025-07-29
  • Published：2025-01-08
Article Data
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History
  • Received：2024-03-27
  • Revised：2024-10-15
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Affiliations
    1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
    2. Haiyan County Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Jiaxing 314300, China
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