Available Capacity Analysis and Business Expansion Decision for Distribution Network Based on Depth-first Traversal

XU Chengsi, DONG Shufeng, WU Zhenjie, HUA Yibo, TANG Jian, YANG Xingchao

Electric Power Construction ›› 2023, Vol. 44 ›› Issue (5) : 34-42.

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Electric Power Construction ›› 2023, Vol. 44 ›› Issue (5) : 34-42. DOI: 10.12204/j.issn.1000-7229.2023.05.004
Smart Grid

Available Capacity Analysis and Business Expansion Decision for Distribution Network Based on Depth-first Traversal

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Abstract

Aiming at the current problems of the rough calculation of distribution network available capacity, reliance on personal experience, and failure to give full play to the decision-making of data empowerment, this study combines available capacity with the analysis of business expansion and proposes an available capacity analysis and optimization decision method of business expansion for distribution networks based on depth-first traversal. First, considering the seasonal and daily load characteristics in the substation area, the available capacities of the feeder and public transformer were calculated based on the depth-first traversal algorithm. Second, considering the multi-objective matching of the available capacity with the load curve, load balancing, and three-phase balance in the substation area, an optimization decision model of business expansion was established, and a refined optimal load access scheme from feeder zoning to the substation area was obtained. Finally, the simulation examples using IEEE standard distribution systems and an actual distribution network were used to verify the efficiency of the proposed available capacity calculation method. It was observed that the proposed method can effectively apply the available capacity analysis results to obtain a refined load access scheme considering multiple objectives.

Key words

distribution network / depth-first traversal / available capacity / load characteristics / business expansion / distribution station area

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Chengsi XU , Shufeng DONG , Zhenjie WU , et al . Available Capacity Analysis and Business Expansion Decision for Distribution Network Based on Depth-first Traversal[J]. Electric Power Construction. 2023, 44(5): 34-42 https://doi.org/10.12204/j.issn.1000-7229.2023.05.004

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Funding

National Natural Science Foundation of China(52077193)
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