DocumentCode :
634120
Title :
Optimal directional relay placement in microgrids considering coordination constraints
Author :
Salehi, Bahram ; Tadayon, Mahdi ; Karshenas, Hamid Reza
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
fYear :
2013
fDate :
14-16 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper is concerned with the optimal placement of protection devices in a microgrid (MG) using genetic algorithms. The occurrence of power outages in distribution networks is higher than that of other parts of the grid. This phenomenon may impose substantial damage on customers with sensitive loads. The new concepts of distributed generation (DG) and microgrid (MG) in modern distribution systems can reduce the number of outages and associated damages by supplying a feeder from multiple sources. However, microgrids and distribution networks with DG require significant effort for the coordination of DGs and their protection devices. Therefore, the placement of protective equipment in order to limit the scope of the fault is one of the important issues which power engineers face. Adding DGs to a distribution system creates different sets of operating conditions such as reverse power flow and increased fault levels. In this paper, using the graph theory, various branches of a feeder are identified and the constraints for using genetic algorithm to optimize the location of protective equipment are derived. In the proposed algorithm, the location, type and direction of relays are optimized simultaneously. The results of implementing the proposed approach on a 33-bus test network confirm the performance and accuracy of this method.
Keywords :
distributed power generation; genetic algorithms; graph theory; power distribution faults; power distribution protection; relay protection; 33-bus test network; DG; MG; coordination constraints; distributed generation; distribution networks; fault levels; genetic algorithms; graph theory; microgrids; operating conditions; optimal directional relay placement; power outages; protection devices; reverse power flow; Biological cells; Circuit faults; Genetic algorithms; Graph theory; Microgrids; Optimization; Relays; Genetic Algorithm; Graph theory; Microgrid; Protection Coordination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location :
Mashhad
Type :
conf
DOI :
10.1109/IranianCEE.2013.6599675
Filename :
6599675
Link To Document :
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