Overcurrent Relay Coordination Using Improved Hyper-Spherical Search Algorithm Considering Different Relay Characteristics and Pickup Current
Subject Areas : electrical and computer engineeringA. Hassani Ahangar 1 , H. Nafisi 2 , H. Karami 3 , G. Gharehpetian 4
1 -
2 -
3 -
4 -
Abstract :
Minimization of the discrimination time between the backup and main overcurrent relay is one of the most critical issue in relay coordination of power system. Determination of time setting multipliers (TSMs) using evolutionary algorithms has been studied in previous papers. In this paper, TSM, various characteristics of the overcurrent relays and pickup currents are simultaneously considered to improve coordination of main and backup overcurrent relays. Furthermore, the coordination problem can also be considered as an optimization problem which can be solved using artificial intelligent methods. Recently, a novel optimization algorithm, called hyper-sphere search (HSS) algorithm, has been introduced. In this paper, Improved HSS (IHSS) is introduced. Based on the problems mentioned in this paper, the IHSS algorithm is more appropriate for obtaining the characteristics of the overcurrent relays, pickup currents and their TSMs. The result of IHSS is compared with HSS algorithm which has been used in previous studies. The simulation results on the test network show the efficiency of using IHSS and considering pickup currents in term of better relays coordination.
[1] H. M. Sharaf, H. H. Zeineldin, D. K. Ibrahim, and E. A. EL-Zahab, "Proposed coordination strategy for meshed distribution systems with DG considering user-defined characteristics of directional inverse time overcurrent relays," Int J. Electr Power Energy Syst, vol. 65, pp. 49-58, Feb. 2015.
[2] C. R. Chen and C. H. Lee, "Adaptive overcurrent relay coordination for off-peak loading in interconnected power system," Int J. Electr Power Energy Syst, vol. 63, pp. 140-144, Dec. 2014.
[3] M. Farzinfar, M. Jazaeri, and F. Razavi, "A new approach for optimal coordination of distance and directional over-current relays using multiple embedded crossover PSO," Int J. Electr Power Energy Syst, vol. 61, pp. 620-628, Feb. 2014.
[4] T. R. Chelliah, R. Thangaraj, S. Allamsetty, and M. Pant, "Coordination of directional overcurrent relays using opposition based chaotic differential evolution algorithm," Int J. Electr Power Energy Syst, vol. 55, pp. 341-350 Feb. 2014.
[5] ع. صابری نوقابی، ح. بدرسیمایی و م. فرشاد، "یک روش احتمالی به منظور تنظیم بهینه رلههای اضافه جریان ترکیبی با در نظر گرفتن عدم قطعیتها،" مجله مهندسی برق دانشگاه تبریز، جلد 47، شماره 1، صص. 153-141، بهار 1396.
[6] P. P. Bedeka, S. R. Bhide, and S. K. Vijay, "Optimum coordination of overcurrent relay timing using simplex method," Electr Power Component Syst, vol. 38, no. 10, pp. 1175-1193, Jul. 2010.
[7] A. J. Urdaneta, H. Resterbo, J. Sanchez, and J. Fajardo, "Coordination of directional overcurrent relays timing using linear programming," IEEE Trans. on Power Deliv, vol. 11, no. 1, pp. 122-129, Jan. 1996.
[8] B. Chattopadhyay, M. S. Sachdev, and T. S. Sidhu, "An on-line relay coordination algorithm for adaptive protection using linear programming technique," IEEE Trans. on Power Deliv, vol. 11, no. 1, pp. 165-173, Jan. 1996.
[9] C. W. So and K. K. Li, "Time coordination method for power system protection by evolutionary algorithm," IEEE Trans. on Ind Appl, vol. 36, no. 5, pp. 1235-1240, Oct. 2000.
[10] C. W. So, K. K. Li, K. T. Lai, and K. Y. Fung, "Application of genetic algorithm for overcurrent relay coordination," in Proc. Sixth Int. Conf. on Developments in Power System Protection, pp. 66-69, Nottingham, UK, 25-27 Mar. 1997.
[11] F. Razavi, H. Askarian Abyaneh, M. Al-Dabbagh, R. Mohammadi, and H. Torkaman, "A new comprehensive genetic algorithm method for O/C relays coordination," Elect Power Syst Res, vol. 78, pp. 713-720, 2008.
[12] H. Zeineldin, E. El-Saadany, and M. A. Salama, "Optimal coordination of O/C relays using a modified particle swarm optimization," Elect Power Syst Res, vol. 76, no. 11, pp. 988-995, Apr. 2006.
[13] K. Deb, F. Ruiz, M. Luque, R. Tewari, J. M. Cabello, and J. M. Cejudo, "On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization," Appl Soft Comput, vol. 12, no. 10, pp. 3300-3311, Oct. 2012.
[14] K. Mahadevan and P. S. Kannan, "Comprehensive learning particle swarm optimization for reactive power dispatch," Appl Soft Comput, vol. 10, no. 2, pp. 641-652, Mar. 2010.
[15] A. Khare and S. Rangnekar, "A review of particle swarm optimization and its applications in solar photovoltaic system," Appl Soft Comput, vol. 13, no. 5, pp. 2997-3006, May 2013.
[16] J. Soares, T. Sousa, H. Morais, Z. Vale, B. Canizes, and A. Silva, "Application-specific modified particle swarm optimization for energy resource scheduling considering vehicle-to-grid," Appl Soft Comput, vol. 13, no. 11, pp. 4264-4280, Nov. 2013.
[17] H. Karami, M. J. Sanjari, A. Tavakoli, and G. B. Gharehpetian, "Optimal scheduling of residential energy system including CHP system and storage device," Electr Power Compon Syst, vol. 41, no. 8, pp. 765-780, Apr. 2013.
[18] H. Karami, M. J. Sanjari, S. Hadavi, S. H. Hosseinian, and G. B. Gharehpetian, "Stochastic load effect on home energy system scheduling optimization," Int Trans. Electr Energy Syst, vol. 25, no. 10, pp. 2412-2426, Aug. 2015.
[19] H. Karami, M. J. Sanjari, S. H. Hosseinian, and G. B. Gharehpetian, "An optimal dispatch algorithm for managing residential distributed energy resources," IEEE Trans. Smart Grid, vol. 5, no. 5, pp. 2360-2367, Sept. 2014.
[20] H. Karami, M. J. Sanjari, and G. B. Gharehpetian, "Hyper-spherical search (HSS) algorithm: a novel meta-heuristic algorithm to optimize nonlinear functions," Neural Comput. Appl., vol. 25, no. 6, pp. 1455-1465, Nov.2014.
[21] M. J. Sanjari, H. Karami, A. H. Yatim, and G. B. Gharehpetian, "Application of hyper spherical search algorithm for optimal energy resources dispatch in residential microgrids," Appl Soft Comput, vol. 37, pp. 15-23, Dec. 2015.
[22] M. S. Kiran, "Particle swarm optimization with a new update mechanism," Applied Soft Computing, vol. 60, pp. 670-678, Nov. 2017.
[23] J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. on Neural Networks, vol. 4, pp. 1942-1948, Perth, Australia, 27 Nov.-1 Dec. 1995.
[24] J. Yang and Y. Zhuang, "An improved ant colony optimization algorithm for solving a complex combinatorial optimization problem," Applied Soft Computing, vol. 10, no. 2, pp. 653-660, 2010.
[25] M. Dorigo, M. Birattari, and T. Stutzle, "Ant colony optimization," IEEE Computational Intelligence Magazine, vol. 1, no. 4, pp. 28-39, Nov. 2006.
[26] P. Mohapatra, K. Nath Das, and S. Roy, "A modified competitive swarm optimizer for large scale optimization problems," Applied Soft Computing, vol. 59, pp. 340-362, Oct. 2017.
[27] W. Long, J. Jiao, X. Liang, and M. Tang, "An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization," Engineering Applications of Artificial Intelligence, vol. 68, pp. 63-80, Feb. 2018.
[28] S. Torabi and F. Safi-Esfahani, "Improved Raven Roosting Optimization algorithm (IRRO)," Swarm and Evolutionary Computation, vol. 40 ,pp. 144-154, Jun. 2018.
[29] R. Cheng and Y. Jin, "A competitive swarm optimizer for large scale optimization," IEEE Trans. on Cybernetics, vol. 45, no. 2, pp. 191-204, Feb. 2015.
[30] S. Mirjalili, S. M. Mirjalili, and A. Lewis, "Grey wolf optimizer," Advances in Engineering Software, vol. 69, pp. 46-61, Mar. 2014.
[31] A. Brabazon, W. Cui, and M. O'Neill, "The raven roosting optimisation algorithm," Soft Computing, vol. 20, no. 2, pp. 525-545, Feb. 2016.
[32] M. Pradhan, P. Kumar Roy, and T. Pal, "Grey wolf optimization applied to economic load dispatch problems," International J. of Electrical Power & Energy Systems, vol. 83, pp. 325-334, Dec. 2016.
[33] T. Jayabarathi, T. Raghunathan, B. R. Adarsh, and P. Suganthan, "Economic dispatch using hybrid grey wolf optimizer," Energy, vol. 111, pp. 630-641, 15 Sept. 2016.
[34] H. Vennila and T. Ruban Deva Prakash, "Particle swarm optimization technique for solving economic emission dispatch problems," Procedia Engineering, vol. 38, pp. 2009-2021, 2012.
[35] V. Jadoun, N. Gupta, K. R. Niazi, and A. Swarnkar, "Modulated particle swarm optimization for economic emission dispatch," International J. of Electrical Power & Energy Systems, vol. 73, pp. 80-88, Dec. 2015.
[36] S. A. Ahmadi, H. Karami, M. J. Sanjari, H. Tarimoradi, and G. B. Gharehpetian, "Application of hyper-spherical search algorithm for optimal coordination of overcurrent relays considering different relay characteristics," International J. of Electrical Power & Energy Systems, vol. 83, pp. 443-449, Dec. 2016.
[37] IEEE Standard Inverse-Time Characteristic Equations for Overcurrent Relays," in IEEE PC37.112/D2, pp. 1-22, Jan. 2017.
[38] R. Mohammadi Chabanloo, H. Askarian Abyaneh, S. S. Hashemi Kamangar, and F. Razavi, "Optimal combined overcurrent and distance relays coordination incorporating intelligent overcurrent relays characteristic selection," IEEE Trans. on Power Delivery, vol. 26, no. 3, pp. 1381-1391, Jul. 2011.
[39] H. Sharifian, H. A. Abyaneh, S. K. Salman, R. Mohammadi, and F. Razavi, "Determination of the minimum break point set using expert system and genetic algorithm," IEEE Trans. on Power Delivery, vol. 25, no. 3, pp. 1284-1295, Jul. 2010.
