DocumentCode
818967
Title
Distribution system reliability enhancement using optimal capacitor placement
Author
Etemadi, A.H. ; Fotuhi-Firuzabad, M.
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran
Volume
2
Issue
5
fYear
2008
fDate
9/1/2008 12:00:00 AM
Firstpage
621
Lastpage
631
Abstract
Failure statistics of most utilities indicate that distribution systems make the greatest individual contribution to the unavailability of supply to customers. Optimal capacitor placement in distribution systems has a number of advantages such as reducing losses, improving voltage profile, improving power factor and so on. The conventional objective function of the optimal capacitor placement consists of the total cost of losses and investments. Since capacitors supply reactive loads locally, they improve the load-carrying capability of the lines and therefore play the same role as redundant lines. Thus, optimal capacitor placement can also improve the reliability indices of a distribution system. Therefore two new objective functions are defined here. The first one is defined as the sum of reliability cost and investment cost. The second is defined by adding the reliability cost, cost of losses and investment cost. The latter is a comprehensive objective function which is the resultant of the conventional and reliability-based objective functions. This problem is solved using a particle swarm optimisation-based algorithm. The effectiveness and applicability of the proposed approach are examined using a distribution network.
Keywords
particle swarm optimisation; power capacitors; power distribution reliability; power factor; distribution system reliability enhancement; failure statistics; load-carrying capability; loss reduction; optimal capacitor placement; particle swarm optimisation-based algorithm; power factor; reactive loads; voltage profile;
fLanguage
English
Journal_Title
Generation, Transmission & Distribution, IET
Publisher
iet
ISSN
1751-8687
Type
jour
DOI
10.1049/iet-gtd:20070515
Filename
4580130
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