An interior point method based protection coordination scheme for directional overcurrent relays in meshed networks

Abstract In this work, interior point method based protection coordination schemes are presented for coordinating directional overcurrent relays. Also, for minimizing the operating times of primary and backup relays simultaneously, a new objective function (NOF) is developed. The effectiveness of the proposed solution methods and the developed objective function has been investigated on two test systems (one small and one large). The suitability of the proposed method for coordination of directional overcurrent relays in meshed networks has been established by comparing its performance with that obtained by genetic algorithm, differential evolution and two hybrid algorithms for the developed objective function. Also, the superiority of the develop objective function has also been established by comparing the protection coordination results obtained by using NOF with those obtained by the other objective functions reported in the literature.

[1]  M. Dyer,et al.  A hybrid dynamic programming/branch-and-bound algorithm for the multiple-choice knapsack problem , 1995 .

[2]  E. J. Holmes,et al.  Protection of Electricity Distribution Networks , 1998 .

[3]  Biswarup Das,et al.  Unsymmetrical short-circuit analysis for distribution system considering loads , 2015 .

[4]  Mostafa Barzegari,et al.  Optimal coordination of directional overcurrent relays using harmony search algorithm , 2010, 2010 9th International Conference on Environment and Electrical Engineering.

[5]  R. Kaczmarek,et al.  Coordination of directional overcurrent relays using a novel method to select their settings , 2011 .

[6]  A. J. Urdaneta,et al.  Coordination of directional overcurrent relay timing using linear programming , 1996 .

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

[8]  J. Sadeh,et al.  Considering Different Network Topologies in Optimal Overcurrent Relay Coordination Using a Hybrid GA , 2009, IEEE Transactions on Power Delivery.

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

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

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

[12]  Mahamad Nabab Alam,et al.  A comparative study of metaheuristic optimization approaches for directional overcurrent relays coordination , 2015 .

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

[14]  Jaydev Sharma,et al.  Robust voltage regulation in unbalanced radial distribution system under uncertainty of distributed generation and loads , 2015 .

[15]  Jaydev Sharma,et al.  Coordination Between OLTC and SVC for Voltage Regulation in Unbalanced Distribution System Distributed Generation , 2014, IEEE Transactions on Power Systems.

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

[17]  Farzad Razavi,et al.  Determination of the Minimum Break Point Set Using Expert System and Genetic Algorithm , 2010, IEEE Transactions on Power Delivery.

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

[19]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

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

[21]  S. H. Fathi,et al.  Overcurrent Relays Coordination Considering the Priority of Constraints , 2011, IEEE Transactions on Power Delivery.

[22]  P. N. Suganthan,et al.  Differential Evolution: A Survey of the State-of-the-Art , 2011, IEEE Transactions on Evolutionary Computation.