DocumentCode :
2806944
Title :
Optimal capacitor placement using branch and bound
Author :
Hogan, Peter M. ; Rettkowski, John D. ; Bala, Juan L., Jr.
Author_Institution :
Dept. of Electr. Eng., Oregon State Univ., Corvallis, OR, USA
fYear :
2005
fDate :
23-25 Oct. 2005
Firstpage :
84
Lastpage :
89
Abstract :
Optimal capacitor placement (OCP) determines the sizing, siting, and switching of capacitors that are added to a radial distribution feeder. OCP seeks to maximize the net dollar savings resulting from the reduction in power and energy losses less the total costs of capacitors. The distribution feeder typically consists of a main branch, some lateral branches, and nodes. Nodes are points on the feeder where segment characteristics change and where electrical loads are connected. This paper presents a new OCP method that employs a branch-and-bound algorithm, which seeks to reduce the total number of possible alternative sizes and sites to test. The proposed method automatically generates combinations of capacitor banks and feeder nodes, it performs power flow analysis to determine the effectiveness of each combination, and it stores the optimal and near-optimal solutions. The switching of capacitors is based on a user-specified power level. The proposed method has been applied successfully to a test distribution feeder. The proposed method has a fast computational time because it does not require evaluating all possible alternative combinations.
Keywords :
capacitor storage; capacitor switching; power distribution lines; tree searching; branch and bound; capacitor banks; capacitors switching; energy losses reduction; feeder nodes; optimal capacitor placement; power flow analysis; power losses reduction; radial distribution feeder; user-specified power level; Capacitors; Constraint optimization; Cost function; Dynamic programming; Energy loss; Linear programming; Load flow analysis; Power generation; Reactive power; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Symposium, 2005. Proceedings of the 37th Annual North American
Print_ISBN :
0-7803-9255-8
Type :
conf
DOI :
10.1109/NAPS.2005.1560506
Filename :
1560506
Link To Document :
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