A Novel Optimal Setting for Directional over Current Relay Coordination using Particle Swarm Optimization

Over Current Relays (OCRs) and Directional Over Current Relays (DOCRs) are widely used for the radial protection and ring sub transmission protection systems and for distribution systems. All previous work formulates the DOCR coordination problem either as a Non-Linear Programming (NLP) for TDS and Ip or as a Linear Programming (LP) for TDS using recently a social behavior (Particle Swarm Optimization techniques) introduced to the work. In this paper, a Modified Particle Swarm Optimization (MPSO) technique is discussed for the optimal settings of DOCRs in power systems as a Non-Linear Programming problem for finding Ip values of the relays and for finding the TDS setting as a linear programming problem. The calculation of the Time Dial Setting (TDS) and the pickup current (Ip) setting of the relays is the core of the coordination study. PSO technique is considered as realistic and powerful solution schemes to obtain the global or quasi global optimum in optimization problem.

[1]  H. O. Gupta,et al.  A method for adaptive coordination of overcurrent relays in an interconnected power system , 1993 .

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

[3]  A. J. Urdaneta,et al.  Optimal coordination of directional overcurrent relays considering dynamic changes in the network topology , 1997 .

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

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

[6]  C. L. Wagner,et al.  Digital Computer Protective Device Co-ordination Program I-General Program Description , 1964 .

[7]  C.-W. So,et al.  Time coordination method for power system protection by evolutionary algorithm , 1999 .

[8]  Joong-Rin Shin,et al.  A particle swarm optimization for economic dispatch with nonsmooth cost functions , 2005, IEEE Transactions on Power Systems.

[9]  Patrick R. McMullen,et al.  Swarm intelligence: power in numbers , 2002, CACM.

[10]  Albert Russell van Cortlandt Warrington,et al.  Protective relays : their theory and practice , 1962 .

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

[12]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

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

[14]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

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

[16]  Hari Om Gupta,et al.  Time-Overcurrent Relay Coordination: A Review , 2005 .

[17]  J. Kennedy,et al.  Population structure and particle swarm performance , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[18]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[19]  Pradipta Kishore Dash,et al.  An application of functional dependencies to the topological analysis of protection schemes , 1992 .

[20]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[21]  James Kennedy,et al.  Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[22]  Frans van den Bergh,et al.  An analysis of particle swarm optimizers , 2002 .