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By Loi, Lei Lai, Tze Chan (2007)
Distributed Generation: Induction and Permanent Magnet Generators
R. Allan, R. Billinton, M. Oliveira (1976)
An Efficient Algorithm for Deducing the Minimal Cuts and Reliability Indices of a General Network ConfigurationIEEE Transactions on Reliability, R-25
B. Amanulla, S. Chakrabarti, S. Singh (2012)
Reconfiguration of Power Distribution Systems Considering Reliability and Power LossIEEE Transactions on Power Delivery, 27
Lei Han, R. Zhou, Xuehua Deng (2009)
An analytical method for DG placements considering reliability improvements2009 IEEE Power & Energy Society General Meeting
A. Ishizaka, A. Labib (2009)
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M. Moradi, M. Abedini (2010)
A combination of Genetic Algorithm and Particle Swarm Optimization for optimal DG location and sizing in distribution systems2010 Conference Proceedings IPEC
C. Borges, D. Falcão (2006)
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Alireza Soroudi, M. Afrasiab (2012)
Binary PSO-based dynamic multi-objective model for distributed generation planning under uncertaintyIet Renewable Power Generation, 6
M. Ettehadi, H. Ghasemi, S. Vaez‐Zadeh (2013)
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R. Dugan, T. Mcdermott (2002)
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Yiming Mao, K. Miu (2003)
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Purpose – The purpose of the paper is to find the best distributed generators (DGs) location for improving reliability and reducing power loss using distribution system reconfiguration. This is implemented in the presence of the tie-switches. It proposes a search-based algorithm for the reconfiguration problem. Individual DG placement is obtained for all system configurations, and analytical hierarchy process tool is used for finding the overall best location. This is carried out for various system loadings. Design/methodology/approach – This paper proposes a knowledge-based search algorithm which needs the base conditions of the distribution system. A detailed analysis is carried out for finding the best DG locations from the obtained DG placements for various system configurations. Simulations are rigorously carried out with the help of programming. Results from these simulations are further given to analytical hierarchy tool for obtaining the DGs location. Findings – The findings of the paper are the DG placement for various system loadings and various system configurations and to obtain the best DG location for any system configuration. A search-based algorithm is designed for accomplishing it. Originality/value – The proposed method identifies the placement of distributed generation at distribution systems for reliability improvement and power loss reduction which is one of the present day needs for fulfilling the raising power consumers.
International Journal of Energy Sector Management – Emerald Publishing
Published: Aug 26, 2014
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