NDLI: Considering Different Network Topologies in Optimal Overcurrent Relay Coordination Using a Hybrid GA

Content Provider	IEEE Xplore Digital Library
Author	Noghabi, A.S. Sadeh, J. Mashhadi, H.R.
Copyright Year	1986
Abstract	The directional overcurrent relays (DOCRs) coordination problem is usually studied based on a fixed network topology in an interconnected power system, and is formulated as an optimization problem. In practice, the system may be operated in different topologies due to outage of the transmission lines, transformers, and generating units. There are some situations for which the changes in the network topology of a system could cause the protective system to operate without selectivity. The aim of this paper is to study DOCRs coordination considering the effects of the different network topologies in the optimization problem. Corresponding to each network topology, a large number of coordination constraints should be taken into account in the problem formulation. In this situation, in addition to nonlinearity and nonconvexity, the optimization problem experiences many coordination constraints. The genetic algorithm (GA) is selected as a powerful tool in solving this complex and nonconvex optimization problem. In this paper, in order to improve the convergence of the GA, a new hybrid method is introduced. The results show a robust and optimal solution can be efficiently obtained by implementing the proposed hybrid GA method.
Sponsorship	IEEE Power Engineering Society
Starting Page	1857
Ending Page	1863
Page Count	7
File Size	446905
File Format	PDF
ISSN	08858977
Volume Number	24
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Network topology Relays Power system relaying Power system interconnection Hybrid power systems Power system protection Power transmission lines Transformers Constraint optimization Genetic algorithms power system protection Different network topologies genetic algorithm (GA) overcurrent relay coordination
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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