DocumentCode
47921
Title
DG allocation for benefit maximization in distribution networks
Author
Shaaban, Mostafa F. ; Atwa, Yasser M. ; El-Saadany, Ehab F.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Volume
28
Issue
2
fYear
2013
fDate
May-13
Firstpage
639
Lastpage
649
Abstract
This paper proposes a method to evaluate the worth of installing renewable distributed generation (DG) in distribution networks. Moreover, the work optimally allocates these DG units in the distribution network to maximize the worth of the connection to the local distribution company (LDC), as well as the customers connected to the system. The proposed methodology helps the LDC to better assess the benefits of the renewable DG units´ proposed connections and to identify the optimal buses on which to connect these DG units. The benefits considered in this paper are deferral of upgrade investments, reduction of the cost of energy losses, and reliability improvement, which is represented by the interruption cost reduction. The proposed methodology takes into consideration the uncertainty and variability associated with the output power of renewable DG as well as the load variability. The planning problem of determining the optimal location and sizes of DG units is defined as multi-objective mixed integer programming.
Keywords
distributed power generation; distribution networks; integer programming; investment; optimisation; power distribution reliability; power generation reliability; LDC; distributed generation allocation; distribution networks; energy loss; interruption cost reduction; investments; local distribution company; maximization; multiobjective mixed integer programming; optimal bus; reliability; renewable distributed generation; Distributed power generation; Energy loss; Load modeling; Resource management; Substations; Distributed generation; Monte Carlo methods; distribution system; probability density function;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2213309
Filename
6313961
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