Security Region and Total Supply Capability under N-0 for Urban Distribution Network

Xiao, Jun; Qu, Yuqing; Song, Chenhui; Zhang, Baoqiang; She, Buxin; Lin, Qisi

doi:10.1109/pesgm41954.2020.9281818

Cited by 1 publication

(1 citation statement)

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“…TSC is defined as the maximum load that a distribution network can serve, which satisfies the N-1 security criterion (Xiao B. et al, 2017). At present, the research about TSC has involved the definition (Guo et al, 2018), index (Xiao et al, 2017b), modeling (Mu and Liu, 2018;Xiao et al, 2021), algorithm (Ge et al, 2011;Zhang et al, 2020), and application (Zhang et al, 2017;Sun et al, 2018;Xiao et al, 2020) of TSC. The main influence factors of TSC include the capacity and number of substation transformers, feeder capacity, and how the feeders link with each other.…”

Section: Introductionmentioning

confidence: 99%

A feeder link planning method for total supply capability improvement of distribution network

Xiao

et al. 2022

Front. Energy Res.

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This study proposes a new feeder link planning method for the distribution network, which can improve total supply capability (TSC). Feeder links are the key component of distribution networks. They are of great significance to the TSC of the distribution network. Therefore, it is necessary to reveal the influence rules of feeder links on TSC and then apply the rules in distribution network planning. First, the indices describing the position, scale, and efficiency of feeder links are defined. Second, the influence rules of feeder links on TSC are revealed. 1) When the feeder geometrical distribution is more balanced, the TSC is higher. 2) When the feeder link scale is larger, the TSC is higher. While for both (1) and (2), the TSC will remain unchanged after reaching a certain value. 3) There always exists an optimal construction order of feeder links, which can ensure the TSC is as high as possible in each planning stage. Third, based on the rules, a model and an algorithm of the feeder link planning are proposed. The method can find an optimal construction order of feeder links, which can ensure that the value of TSC is as high as possible in each feeder link planning stage. Finally, the proposed method is verified on an 8-substation-transformer case grid, which has shown that the proposed method has advantages in feeder link efficiency and feeder-distribution balancing, and especially the TSC can be improved in each planning stage than the traditional methods.

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