DocumentCode
1348087
Title
A practical approach to the conductor size selection in planning radial distribution systems
Author
Wang, Zhuding ; Liu, Haijun ; Yu, David C. ; Wang, Xiaohui ; Song, Hongquan
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA
Volume
15
Issue
1
fYear
2000
fDate
1/1/2000 12:00:00 AM
Firstpage
350
Lastpage
354
Abstract
This paper presents a new approach to the optimization problem of conductor size selection in planning radial distribution systems. In this study, a multisection, branching feeder model with nonuniform load distribution has been chosen to best approximate actual conditions found in most distribution systems. Since the optimization problem is formulated as an integer programming problem, it is difficult to solve such a large-scale problem accurately. Therefore, in order to find an approximately optimal solution quickly, the authors have developed a simple, practical approach, which relies on the combined usage of an economical current density based method and a heuristic index directed method. This approach needs no sophisticated optimization technique and, thus, is easy to implement. Because of the practicality of its features, the proposed approach can be a useful tool for distribution engineers. It is presently in use at several electric power bureaus, such as the Chongqing Electric Power Bureau in China. The detailed results of the designs of some typical radial feeders using the proposed approach are also presented and discussed
Keywords
conductors (electric); integer programming; power cables; power distribution planning; China; conductor size selection approach; economical current density based method; heuristic index directed method; integer programming; large-scale problem; multisection branching feeder model; nonuniform load distribution; optimization problem; radial distribution systems planning; radial feeders; Conductors; Current density; Large-scale systems; Load modeling; Mathematical model; Power engineering and energy; Power generation economics; Power system economics; Power systems; Reliability engineering;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/61.847272
Filename
847272
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