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CLC number: TM714.3

On-line Access: 2013-11-06

Received: 2012-10-14

Revision Accepted: 2013-02-26

Crosschecked: 2013-09-18

Cited: 1

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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.11 P.887-898


U-shaped energy loss curves utilization for distributed generation optimization in distribution networks

Author(s):  Reza Ebrahimi, Mehdi Ehsan, Hassan Nouri

Affiliation(s):  Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; more

Corresponding email(s):   r.ebrahimi@srbiau.ac.ir, ehsan@sharif.ac.ir, hassan.nouri@uwe.ac.uk

Key Words:  Distributed generation (DG), Distribution networks, Loss reduction, DG optimization, Energy loss curves

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Reza Ebrahimi, Mehdi Ehsan, Hassan Nouri. U-shaped energy loss curves utilization for distributed generation optimization in distribution networks[J]. Journal of Zhejiang University Science C, 2013, 14(11): 887-898.

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%T U-shaped energy loss curves utilization for distributed generation optimization in distribution networks
%A Reza Ebrahimi
%A Mehdi Ehsan
%A Hassan Nouri
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T1 - U-shaped energy loss curves utilization for distributed generation optimization in distribution networks
A1 - Reza Ebrahimi
A1 - Mehdi Ehsan
A1 - Hassan Nouri
J0 - Journal of Zhejiang University Science C
VL - 14
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SP - 887
EP - 898
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PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1200282

We propose novel techniques to find the optimal location, size, and power factor of distributed generation (DG) to achieve the maximum loss reduction for distribution networks. Determining the optimal DG location and size is achieved simultaneously using the energy loss curves technique for a pre-selected power factor that gives the best DG operation. Based on the network’s total load demand, four DG sizes are selected. They are used to form energy loss curves for each bus and then for determining the optimal DG options. The study shows that by defining the energy loss minimization as the objective function, the time-varying load demand significantly affects the sizing of DG resources in distribution networks, whereas consideration of power loss as the objective function leads to inconsistent interpretation of loss reduction and other calculations. The devised technique was tested on two test distribution systems of varying size and complexity and validated by comparison with the exhaustive iterative method (EIM) and recently published results. Results showed that the proposed technique can provide an optimal solution with less computation.

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