Title :
Optimal coordination of protection relays using new hybrid evolutionary algorithm
Author :
Chunlin Xu ; Zou, Xiufen ; Yuan, Rongxiang ; Chuansheng
Author_Institution :
Sch. of Math. & Stat., Wuhan Univ., Wuhan
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.
Keywords :
evolutionary computation; overcurrent protection; particle swarm optimisation; power engineering computing; relay protection; hybrid evolutionary algorithm; optimal coordination; optimal relay setting; optimization problem formulation; over current relays; particle swarm optimizations; power system; protection relay setting; reliable protection system; tabu search; test evolutionary algorithm; Equations; Evolutionary computation; Image segmentation; Protection; Protective relaying; Relays; Evolutionary algorithm; optimal setting; power system protection;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4630891