DocumentCode :
1081195
Title :
Selecting and applying distribution optimization methods
Author :
Willis, H Lee ; Tram, Hahn ; Engel, Michael V. ; Finley, Linda
Author_Institution :
T&D Technol., ABB Syst. Control, Cary, NC, USA
Volume :
9
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
12
Lastpage :
17
Abstract :
In order to determine the design of a distribution system a planner must determine three aspects of design simultaneously: layout (the manner in which the distribution pathways are split and resplit on their way from a few sources, or substation buses, to many customers), line size (the selection of conductor size, number of phases, and line type for each segment), and radial switching pattern (determining the normally open points within the network that force an electrical flow into a radial pattern). These three aspects of design interact heavily with one another, and generally the true least-cost plan can be found only by considering all three simultaneously. In most real-world situations, the number of possible combinations of layout, line sizing, and switching is so large that the probability of a smart, experienced engineer finding the very best configuration unaided is rather remote. Optimization methods that analyze all three aspects simultaneously to minimize cost can provide a real benefit. But no optimization method encompasses all aspects of distribution design, and no method is completely free of approximations and limitations. They are merely tools that can provide great help in distribution design if properly applied. Their good performance depends on proper selection and fitting to the problem and engineering CAD environment. This article focuses on selection and application of optimization methods for distribution design. The methods are numerical optimisation (both nontransshipment and transshipment), genetic algorithms, and null point load flow
Keywords :
distribution networks; genetic algorithms; load flow; power system CAD; power system planning; switching; conductor size; distribution optimization methods; distribution system design; distribution system layout; electrical flow; engineering CAD environment; genetic algorithms; least-cost plan; line size; nontransshipment; null point load flow; numerical optimisation; radial switching pattern; transshipment; Algorithm design and analysis; Character generation; Cost function; Distributed computing; Feeds; Iterative algorithms; Load forecasting; Optimization methods; Performance analysis; Transformers;
fLanguage :
English
Journal_Title :
Computer Applications in Power, IEEE
Publisher :
ieee
ISSN :
0895-0156
Type :
jour
DOI :
10.1109/67.475954
Filename :
475954
Link To Document :
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