Optimal relay placement in microgrids considering critical clearing time

Mirazimi, S. J. and Salehi, B. and Tadayon, M. and Karshenas, H. R. (2013) Optimal relay placement in microgrids considering critical clearing time. In: Proceedings of the IEEE 7th International Power Engineering and Optimization Conference (PEOCO 2013), 3-4 Jun 2013, Langkawi, Malaysia.

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This paper is concerned with the optimal placement of protection devices in a microgrid using particle swarm
optimization algorithm. One of the main advantages of
Distributed Generation (DG) scheme and microgrids in modern
distribution systems is the reduction of number of outages and the associated damages caused by them. This task is
accomplished by supplying a feeder from multiple sources. In
order to prevent generator instability in DGs connected to utility, it is necessary to improve the protective schemes of traditional distribution systems and also to use proper relaying and setting for DGs. All of the downstream overcurrent (OC) relays of each DG are coordinated together and also should be coordinated with OC relay that is installed on the Point of Common Coupling (PCC) which is set at Critical Clearing Time (CCT) as a definite time, to have a desirable performance on each outage. In this paper, by the use of graph theory, various branches of a feeder
are identified and the constraints for using particle swarm
optimization algorithm to optimize the location of protective equipment are derived. In the proposed algorithm, the location, type and direction of relays are optimized simultaneously.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 IEEE. Published version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 04 Sep 2013 00:27
Last Modified: 15 Sep 2014 01:14
Uncontrolled Keywords: microgrid; particle swarm optimization algorithm; protection; coordination; graph theory
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090505 Infrastructure Engineering and Asset Management
09 Engineering > 0906 Electrical and Electronic Engineering > 090607 Power and Energy Systems Engineering (excl. Renewable Power)
01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010303 Optimisation
Socio-Economic Objective: B Economic Development > 85 Energy > 8506 Energy Storage, Distribution and Supply > 850604 Energy Transmission and Distribution (excl. Hydrogen)
Identification Number or DOI: 10.1109/PEOCO.2013.6564635
URI: http://eprints.usq.edu.au/id/eprint/24015

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