Modified swarm firefly algorithm method for directional overcurrent relay coordination problem

Computational intelligence method such as Nature Inspired Algorithms (NIA) or meta-heuristic algorithms based optimization methods known to be successful in coordination of directional overcurrent relay. It has also been reported that it outperformed the conventional approach. Due to its advantages, it has gained more popularity among the researchers. Some of the conventional optimization techniques such as linear programming method and non-linear programming method were proposed but these methods is time consuming and complex to achieve optimal solution. Thus, a search for better optimization technique to reduce computation burden has become urgency. This paper presents the implementation of Modified Swarm Firefly Algorithm (MSFA) in solving directional overcurrent relay coordination problem. The effect of population sizes were considered to investigate the performance of MSFA technique. The coordination of directional overcurrent relays is formulated as linear programming problem and the objective function is introduced to minimize the operating time of the primary relay. Operating time of the relay depends on time setting multiplier (TSM) which leads to no miscoordination between relay pairs. The proposed method have been applied and tested successfully on 8-Bus test system and 9-Bus test system. The results revealed that MSFA outperformed Particle Swarm Optimization (PSO) in terms of computation time.

[1]  Heresh Seyedi,et al.  An analytic approach for optimal coordination of overcurrent relays , 2013 .

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

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

[4]  A. Engelbrecht,et al.  A new locally convergent particle swarm optimiser , 2002, IEEE International Conference on Systems, Man and Cybernetics.

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

[6]  Ismail Musirin,et al.  Optimal Overcurrent Relay Coordination: A Review , 2013 .

[7]  Tahir Mahmood,et al.  Application of Optimization Techniques in Overcurrent Relay Coordination-A Review , 2013 .

[8]  Surafel Luleseged Tilahun,et al.  Modified Firefly Algorithm , 2012, J. Appl. Math..

[9]  Kevin Hapeshi,et al.  A Review of Nature-Inspired Algorithms , 2010 .

[10]  Walid El-Khattam,et al.  COORDINATION OF DIRECTIONAL OVERCURRENT RELAYS USING ARTIFICIAL BEE COLONY , 2013 .

[11]  Frede Blaabjerg,et al.  International Review of Electrical Engineering (IREE) , 2009 .

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

[13]  S. Niyomphant,et al.  Application of linear programming for optimal coordination of directional over-current relays , 2012, 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[14]  Liu Sanyang,et al.  MODIFIED PARTICLE SWARM OPTIMIZATION FOR OPTIMIZATION PROBLEMS , 2012 .

[15]  E.F. El-Saadany,et al.  Optimal coordination of directional overcurrent relay coordination , 2005, IEEE Power Engineering Society General Meeting, 2005.

[16]  A. Gandomi,et al.  Mixed variable structural optimization using Firefly Algorithm , 2011 .

[17]  R. Eberhart,et al.  Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[18]  Yutian Liu,et al.  Reactive power optimization based on PSO in a practical power system , 2004, IEEE Power Engineering Society General Meeting, 2004..

[19]  Y. G. Paithankar,et al.  Fundamentals of Power System Protection , 2004, Optimal Coordination of Power Protective Devices with Illustrative Examples.

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

[21]  Arthur K. Kordon,et al.  Swarm Intelligence: The Benefits of Swarms , 2010 .

[22]  Abyaneh, H. Askarian,et al.  A New Optimal Approach for Coordination of Overcurrent Relays in Interconnected Power Systems , 2002, IEEE Power Engineering Review.

[23]  Amrit Pal Singh,et al.  Comparative Study of Firefly Algorithm and Particle Swarm Optimization for Noisy Non- Linear Optimization Problems , 2012 .

[24]  V. Mani,et al.  Clustering using firefly algorithm: Performance study , 2011, Swarm Evol. Comput..

[25]  K. K. Li,et al.  Application of genetic algorithm for overcurrent relay coordination , 1997 .

[26]  Bin Yang,et al.  Frame Sizing and Topological Optimization Using a Modified Particle Swarm Algorithm , 2010, 2010 Second WRI Global Congress on Intelligent Systems.

[27]  Farzad Razavi,et al.  Optimal Relays Coordination Efficient Method in Interconnected Power Systems , 2010 .

[28]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[29]  M. R. Asadi,et al.  Optimal Overcurrent relays coordination using particle-swarm-optimization algorithm , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[30]  I. Musirin,et al.  Directional overcurrent relay coordination problem using Modified Swarm Firefly Algorithm considering the effect of population size , 2014, 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014).

[31]  F. V. D. Bergh.  An Analysis of Particle Swarm Optimizers(PSO) , 2013 .

[32]  D. P. Kothari,et al.  Power system optimization , 2004, 2012 2nd National Conference on Computational Intelligence and Signal Processing (CISP).

[33]  Paul M. Anderson.  Power System Protection , 1998 .