An Algorithm for Determining Distribution Feeder Allocation in Urban Area

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  • 都市部における配電線増設位置決定アルゴリズム
  • トシブ ニ オケル ハイデンセン ゾウセツ イチ ケッテイ アルゴリズム

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Abstract

The problem of the distribution system expansion planning in urban area is how to minimize new facility installation cost under the constraints of (1) line and transformer capacity, (2) voltage drop at each load point, (3) demand/supply balance and (4) radial configuration of the system. Many approaches to solve the distribution system planning problem have been proposed[1]-[8]. These approaches assume that new installation candidates are known beforehand so as to simplify the problem. However, for the expansion planning in urban area, the task to determine the candidates of the distribution lines to be expanded includes the task to find the optimal candidate which satisfies the specified constraints. Therefore, it is useless to solve the optimization problem again once the candidates are selected. From the above background the authors have been proposing a new distribution systems expansion planning method which can determine the optimal expansion facilities by searching all the candidates which satisfies the expansion constraints such as current capacity, voltage drop as well as geographical installation restrictions.<br> In this paper, the authors discuss the determination method of the geographical allocation of the newly installed feeders. Since it is difficult to find the space to install new facilities in urban area, a part of the specified existing feeder may be used as a newly installed feeder. In such a case, so as to eliminate the over load feeders and to accomplish the load balance of feeders, load sections of over loaded feeders are transferred to the specified feeder by multi-stage load transfer, and the part of the feeder is cut off to form a new feeder. A new method to accomplish the multi-stage load transfer for this purpose is proposed in this paper. The proposed method can be used for the tool of the AM/FM-GIS, because it can deal with the geographical information. Through numerical examples, the validity of the proposed method is examined.

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