Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation
Joint Authors
Ing, Koong Gia
Illias, H. A.
Aman, M. M.
Mokhlis, H.
Jamian, J. J.
Source
Journal of Applied Mathematics
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Network reconfiguration is an effective approach to reduce the power losses in distribution system.
Recent studies have shown that the reconfiguration problem considering load profiles can give a significant improvement on the distribution network performance.
This work proposes a novel method to determine the optimal daily configuration based on variable photovoltaic (PV) generation output and the load profile data.
A good combination and coordination between these two varying data may give the lowest power loss in the system.
Gravitational Search Algorithm (GSA) is applied to determine the optimum tie switches positions for 33-Bus distribution system.
GSA based proposed method is also compared with Evolutionary Programming (EP) to examine the effectiveness of GSA algorithm.
Obtained results show that the proposed optimal daily configuration method is able to improve the distribution network performance in term of its power loss reduction, number of switching minimization and voltage profile improvement.
American Psychological Association (APA)
Ing, Koong Gia& Mokhlis, H.& Illias, H. A.& Aman, M. M.& Jamian, J. J.. 2015. Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation. Journal of Applied Mathematics،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1067152
Modern Language Association (MLA)
Ing, Koong Gia…[et al.]. Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation. Journal of Applied Mathematics No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1067152
American Medical Association (AMA)
Ing, Koong Gia& Mokhlis, H.& Illias, H. A.& Aman, M. M.& Jamian, J. J.. Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation. Journal of Applied Mathematics. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1067152
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1067152