Load profile based determination of distribution feeder configuration by dynamic programming
Shariatkhah, Mohammad Hosein, Haghifam, Mahmoud Reza, & Arefi, Ali (2011) Load profile based determination of distribution feeder configuration by dynamic programming. In Proceedings of the 2011 IEEE Tondheim PowerTech Conference, IEEE, Trondheim , pp. 1-6.
This paper presents a new method to determine feeder reconfiguration scheme considering variable load profile. The objective function consists of system losses, reliability costs and also switching costs. In order to achieve an optimal solution the proposed method compares these costs dynamically and determines when and how it is reasonable to have a switching operation. The proposed method divides a year into several equal time periods, then using particle swarm optimization (PSO), optimal candidate configurations for each period are obtained. System losses and customer interruption cost of each configuration during each period is also calculated. Then, considering switching cost from a configuration to another one, dynamic programming algorithm (DPA) is used to determine the annual reconfiguration scheme. Several test systems were used to validate the proposed method. The obtained results denote that to have an optimum solution it is necessary to compare operation costs dynamically.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Distribution feeder reconfiguration, Dynamic programming, Load profile, Loss reduction, Reliability|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2011 IEEE|
|Deposited On:||19 Mar 2014 01:56|
|Last Modified:||04 Dec 2015 02:35|
Repository Staff Only: item control page