Paper Info
Title
Optimal coordination of protection relays using new hybrid evolutionary algorithm
Abstract
A reliable protection system is vital to power system. As the major equipment of protection system, protection relay plays a basilica role in power system. So searching for proper settings of relays to make them operate in a better way is significant. In this paper, a new optimization problem formulation is proposed to search the optimal relay setting of over current relays in power systems. Then, a new hybrid evolutionary algorithm based on tabu search (HEATS) is presented to solve this optimization problem, and results under different algorithm parameters are obtained. Finally, comparisons among HEATS, one of particle swarm optimizations (PSO) and test evolutionary algorithm (TEA) shown in other literatures are given. Simulation results show the formulation of protection relay setting is feasible and effective, and the proposed algorithm HEATS exhibits a good performance.
Year
DOI
Venue
2008
10.1109/CEC.2008.4630891
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
power system protection,evolutionary algorithm,evolutionary computation,optimal coordination,hybrid evolutionary algorithm,particle swarm optimizations,over current relays,optimal setting,tabu search,power system,particle swarm optimisation,overcurrent protection,optimization problem formulation,relay protection,optimal relay setting,power engineering computing,protection relay setting,test evolutionary algorithm,reliable protection system,image segmentation,sensitivity,optimization,protective relaying,heating,optimization problem
Particle swarm optimization,Mathematical optimization,Evolutionary algorithm,Protective relay,Control theory,Computer science,Evolutionary computation,Power-system protection,Optimization problem,Relay,Tabu search
Conference
ISBN
Citations 
PageRank 
978-1-4244-1823-7
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Chunlin Xu100.68
Xiufen Zou227225.44
Rongxiang Yuan300.68
Chuansheng Wu441.76