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Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm
Joint Authors
Nguyen, Thang Trung
Thanh Nguyen, Thuan
Nguyen, Ngoc Au
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-05
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
In this paper, an effective method to determine an initial searching point (ISP) of the network reconfiguration (NR) problem for power loss reduction is proposed for improving the efficiency of the continuous genetic algorithm (CGA) to the NR problem.
The idea of the method is to close each initial open switch in turn and solve power flow for the distribution system with the presence of a closed loop to choose a switch with the smallest current in the closed loop for opening.
If the radial topology constraint of the distribution system is satisfied, the switch opened is considered as a control variable of the ISP.
Then, ISP is attached to the initial population of CGA.
The calculated results from the different distribution systems show that the proposed CGA using ISP could reach the optimal radial topology with better successful rate and obtained solution quality than the method based on CGA using the initial population generated randomly and the method based on CGA using the initial radial configuration attached to the initial population.
As a result, CGA using ISP can be a favorable method for finding a more effective radial topology in operating distribution systems.
American Psychological Association (APA)
Thanh Nguyen, Thuan& Nguyen, Thang Trung& Nguyen, Ngoc Au. 2020. Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm. Complexity،Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1140990
Modern Language Association (MLA)
Thanh Nguyen, Thuan…[et al.]. Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm. Complexity No. 2020 (2020), pp.1-21.
https://search.emarefa.net/detail/BIM-1140990
American Medical Association (AMA)
Thanh Nguyen, Thuan& Nguyen, Thang Trung& Nguyen, Ngoc Au. Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm. Complexity. 2020. Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1140990
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140990