Abstract
Relay coordination is an important aspect to maintain proper power system operation and control. Relays must be organized in such a way that every main relay should have a backup relay and coordination time interval (CTI) between primary and backup and different zones of the relays should be maintained to achieve proper fault identification and fault clearance sequences. The relays should operate in minimum desirable time satisfying all the coordination constraints. So, relay coordination is nothing but a highly constraint problem. Heuristic techniques are often used to get optimal solution of this kind of problem. In this paper, this constraint problem is solved by teaching learning-based optimization (TLBO) on a IEEE 14 bus system. Proper desirable time-setting multiplier (TSM) with minimum operating time of relays is calculated. We also incorporated intelligent overcurrent relay characteristics selection to get the desired results in this work. The results seem to be satisfactory as it is working better when compared with contemporary other techniques like genetic algorithm (GA) or particle swarm optimization (PSO).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Urdaneta, A.J., Nadira, R., Perez, L.G.: Optimal coordination of directional overcurrent relays in interconnected power system. IEEE Trans. Power Delivery 3(3) (1998). https://doi.org/10.1109/61.193867
Urdaneta, A.J., Resterpo, H., Fajardo, J., Sanchez, J.: Coordination of directional over current relays timing using linear programming. IEEE Trans. Power Deivery 11(1), 122–129 (1996). https://doi.org/10.1109/61.484008
Chattopadhyay, B., Sidhu, T.S., Sachdev, M.S.: An on-line relay coordination algorithm for adaptive protection using linear programming techniques. IEEE Trans. Power Deivery 11(1), 165–173 (1996). https://doi.org/10.1109/61.484013
Askarian Abyaneh, H., Keyhani, R.: Optimal co-ordination of over current relays in power system by dual simplex method. In: The AUPEC Conference, Perth, Australia (1995)
So, C.W., Lai, K.T., Li, K.K., Fung, K.Y.: Application of genetic algorithm for over current relay coordination. In: Proceedings of Instrumentation Electrical Engineering Conference Developments in Power System Protection. March 25–27, pp. 66–69 (1997). https://doi.org/10.1049/cp:19970030
Zeineldin, H., El-Saadany, E., Salama, M.A.: Optimal coordination of over current relays using a modified particle swarm optimization. Electr. Power Syst. Res. 76(11) (2006). https://doi.org/10.1016/j.epsr.2005.12.001
So, C.W., Li, K.K.: Time coordination method for power system protection by evolutionary algorithm. IEEE Trans. Ind. Appl. 36(5), 1235–1240 (2000). https://doi.org/10.1109/28.871269
Razavi, F., Askaria, H., Abyaneh, Al-Dabbagh, M., Mohammadi, R., Torkaman, H.: A new comprehensive genetic algorithm method for over current relays coordination. Electric Power Syst. Res. 92(9) (2008). https://doi.org/10.1016/j.epsr.2007.05.013
Sadeh, J., Aminotojari, V., Bashir, M.: Optimal coordination of over current and distance relays with hybrid genetic algorithm. In: Proceedings of 10th International Conference on Environment and Electrical Engineering. IEEE, Rome, Italy, 8–11 May (2011). https://doi.org/10.1109/eeeic.2011.5874690
Chabanloo, R.M., Abyanch, H.A., Kamangar, S.S.H., Razavi, F.: Optimal combined overcurrent and distance relays coordination incorporating intelligent overcurrent relay characteristics selection. IEEE Trans. Power Delivery 26(3), 1381–1391 (2011). https://doi.org/10.1109/TPWRD.2010.2082574
Rao, R.V., Wagmare, G.G.: A comparative study of a teaching–learning-based optimization algorithm on multi-objective unconstrained and constrained functions. J. King Saud University-Comput. Inf. Sci. 26, 332–346 (2012). https://doi.org/10.1016/j.jksuci.2013.12.004
Rao, R.V., Patel, V.: An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems. Int. J. Ind. Eng. Comput. 3, 535–560 (2013). https://doi.org/10.5267/j.ijiec.2012.03.007
Singh, M., Panigrahi, B.K., Abhyankar, A.R.: Optimal coordination of directional over-current relays using teaching learning-based optimization (TLBO) algorithm. Electr. Power Energy Syst. 50, 33–41 (2013). https://doi.org/10.1016/j.ijepes.2013.02.011
Kalaage, A.A., Ghawghawe, N.D.: Optimum coordination of directional overcurrent relays using modified adaptive teaching learning based optimization algorithm. Intell. Ind. Syst. 2(1), 55–71 (2016). https://doi.org/10.1007/s40903-016-0038-9
Saha, D., Dutta, A., Saha Roy, B.K., Das, P.: Optimal coordination of DOCR in interconnected power systems. In: IEEE 2nd International Conference on Control, Instrumentation, Energy and Communication, 28–30 January, Kolkata, India (2016). https://doi.org/10.1109/ciec.2016.7513834
Ojaghi, M., Ghahremani, R.: Piece–wise linear characteristic for coordinating numerical over current relays. IEEE Trans. Power Delivery 32(1), 145–151 (2017)
Rao, R.V., Balic, J., Savsani, V.V.J.: Teaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems. Eng. Optim. 44(12), 1447–1462 (2012). https://doi.org/10.1109/tpwrd.2016.2578324
Rao, R.V.: Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems. Decis. Sci. Lett. 5(1), 1–30 (2016). https://doi.org/10.5267/j.dsl.2015.9.003
Power flow data for IEEE 14 bus test case, University of British Columbia. http://www.ece.ubc.ca/~hameda/download_files/case14.m
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Roy, S., Babu, P.S., Babu, N.V.P. (2019). Optimal Combined Overcurrent and Distance Relay Coordination Using TLBO Algorithm. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-13-1592-3_9
Download citation
DOI: https://doi.org/10.1007/978-981-13-1592-3_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1591-6
Online ISBN: 978-981-13-1592-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)