Optimal coordination of electro-mechanical-based overcurrent relays using artificial bee colony algorithm

Setting of relay coordination in a looped power network is highly non-linear bounded, constrained optimisation problem. Complexity of problem increases as the size of system increases. Recently artificial intelligence-based optimisation techniques are applied successfully for protection application in power system. Traditionally protection relays are electro-mechanically with discrete time dial and plug setting. Optimisation of relay coordination problem considering the discrete relay parameters needs the optimisation algorithm which can handle the discrete value of decision variables. In this paper, application of artificial bee colony algorithm is extended for discrete optimal coordination of overcurrent relays. Moreover, relay coordination problem is modified to optimise the relay setting for both near and far end faults.

[1]  Hossein Askarian Abyaneh,et al.  A new comprehensive genetic algorithm method for optimal overcurrent relays coordination , 2008 .

[2]  H. R. Mashhadi,et al.  Optimal Coordination of Directional Overcurrent Relays Considering Different Network Topologies Using Interval Linear Programming , 2010, IEEE Transactions on Power Delivery.

[3]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[4]  J. Postforoosh,et al.  Computer Aided Transmission Protection System Design Part I: Alcorithms , 1984, IEEE Transactions on Power Apparatus and Systems.

[5]  D. Karaboga,et al.  On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..

[6]  Xin Yao,et al.  Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..

[7]  S.F. Mekhamer,et al.  A Modified Particle Swarm Optimizer for the Coordination of Directional Overcurrent Relays , 2007, IEEE Transactions on Power Delivery.

[8]  T. Amraee,et al.  Coordination of Directional Overcurrent Relays Using Seeker Algorithm , 2012, IEEE Transactions on Power Delivery.

[9]  Ehab F. El-Saadany,et al.  Optimal coordination of overcurrent relays using a modified particle swarm optimization , 2006 .

[10]  A. J. Urdaneta,et al.  Optimal coordination of directional overcurrent relays considering definite time backup relaying , 1999 .

[11]  K. K. Li,et al.  Overcurrent relay coordination by evolutionary programming , 2000 .

[12]  Kusum Deep,et al.  Optimal coordination of over-current relays using modified differential evolution algorithms , 2010, Eng. Appl. Artif. Intell..

[13]  S. R. Bhide,et al.  Optimum Coordination of Directional Overcurrent Relays Using the Hybrid GA-NLP Approach , 2011, IEEE Transactions on Power Delivery.

[14]  H.O. Gupta,et al.  A new nonlinear directional overcurrent relay coordination technique, and banes and boons of near-end faults based approach , 2006, IEEE Transactions on Power Delivery.

[15]  M. S. Sachdev,et al.  An on-line relay coordination algorithm for adaptive protection using linear programming technique , 1996 .

[16]  Malcolm Irving,et al.  Linear programming for directional overcurrent relay coordination in interconnected power systems with constraint relaxation , 1993 .

[17]  Weidong Xiao,et al.  Determining Optimal Location and Size of Distributed Generation Resources Considering Harmonic and Protection Coordination Limits , 2013, IEEE Transactions on Power Systems.

[18]  A. J. Urdaneta,et al.  Optimal coordination of directional overcurrent relays in interconnected power systems , 1988 .

[19]  Mazhar Ezzeddine,et al.  A novel method for optimal coordination of directional overcurrent relays considering their availabl , 2011 .