DocumentCode :
3103021
Title :
Mixed-integer programming optimization-based method for switch device placement in distribution systems considering distributed generation
Author :
Heidari, Alireza ; Agelidis, Vassilios Georgios ; Kia, Mohsen ; Setayeshnazar, Mehrdad
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2013
fDate :
Sept. 29 2013-Oct. 3 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a mathematical optimization methodology to placement of switches in power distribution systems. The primary objective is to minimize the total cost of reliability with consideration of achieving high-distribution reliability levels. Mixed-integer linear programming (MILP) is adopted to determine (i) the number of sectionalizing switches and (ii) the locations of the switches. The introduction of DGs based on island operation mode is also considered is this paper. The effectiveness of the proposed methodology is examined on a reliability test system. The presented results indicate that the proposed methodology is provided a global optimum solution for the switch placement problem while the reliability, capital investment and annual operation and maintenance costs are considered.
Keywords :
distributed power generation; integer programming; investment; optimisation; power distribution reliability; MILP; annual operation; capital investment; distributed generation; high-distribution reliability; island operation mode; maintenance costs; mathematical optimization; mixed integer linear programming; mixed-integer programming; power distribution; switch device placement; switch placement problem; Europe; Reliability; Switches; Distributed Generation; Distribution System; Mixed-integer Programming; Reliability Analysis; Switch Placement; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference (AUPEC), 2013 Australasian Universities
Conference_Location :
Hobart, TAS
Type :
conf
DOI :
10.1109/AUPEC.2013.6725352
Filename :
6725352
Link To Document :
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