OPTIMAL COORDINATION OF DIRECTIONAL OVERCURRENT RELAYS CONSIDERING NON-STANDARD CURVES AND MULTIPLE NETWORK TOPOLOGIES USING TLBO-LP

N. Bayati, R. Mohammadi Chabanloo, S. H. H. Sadeghi

Resumen


In this article, Directional Over-current Relay (DOCR) Coordination was performed considering various network topologies and the non-standard curve for the overcurrent relay. In practice, usually the network topology changes by switching lines and the overcurrent relay coordination might be removed. The purpose of this article is to maintain relay coordination while the network topology is changed and to get the best setting and reduce the operating time of relays. For coordinating and setting overcurrent relays, a hybrid TLBO method was used which combined Teaching-Learning Based Optimization (TLBO) and LP. Four variables were used to set overcurrent relays and the algorithm obtained specific settings for each relay. The proposed algorithm was also compared with the conventional methods. The results show that the TLBO-LP method and using non-standard curve will improve the operating time of overcurrent relay, increase coordination between them and maintain the DOCR coordination by changing the network topology and switching lines.


Palabras clave


DOCR, TLBO, Multiple Network Topologies, Coordination, Optimization

Texto completo:

PDF

Referencias


A.A. Kida, L.A. Gallego, (2016). Optimal coordination of overcurrent relays using mixedinteger linear programming, IEEE Trans. Latin Am. 14 (March (3)), 1289–1295.

Abdelmoumene, Abdelkader, and Hamid Bentarzi. (2014). "A review on protective relays' developments and trends." Journal of Energy in Southern Africa 25.2, 91-95.

El-Hana Bouchekara, Houssem Rafik, Mohamed Zellagui, and Mohammad Ali Abido. (2016). "Coordination of Directional Overcurret Relays Using the Backtracking Search Algorithm." Journal of Electrical Systems 12.2.

F.A. Albasri, A.R. Alroomi, J.H. Talaq, (2015). Optimal coordination of directional over-current relays using biogeography-based optimization algorithms, IEEE Trans.Power Deliv. 30 (August (4)), 1810–1820.

H. H. Zeineldin, E. F. El-Saadany, and M. M. A. Salama, (2006).

“Optimal coordination of overcurrent relays using a modified particle swarm optimization,” Elect. Power Syst. Res., vol. 76, pp. 988–995.

IEEE Standard Inverse-Time Characteristic Equation Overcurrent Relays, IEEE Std. C37.112-1996.

Istrate, Marcel, et al. "Single-phased fault location on transmission lines using unsynchronized voltages (2009).” Advances in Electrical and Computer Engineering 9.3, 51-56.

Jordehi, A. Rezaee (2015). "Optimal setting of TCSCs in power systems using teaching–learning-based optimisation algorithm." Neural Computing and Applications 26.5 1249-1256.

M. Singh, B.K. Panigrahi, A.R. Abhyankar, (2013). Optimal coordination of direc-tional over-current relays using Teaching Learning-Based Optimization (TLBO) algorithm, Int. J. Electr. Power Energy Syst. 50 (September), 33–41.

M.H. Marcolino, J.B. Leite, J.R.S. Mantovani, (2015), Optimal coordination of overcurrentdirectional and distance relays in meshed networks using genetic algorithm,IEEE Trans. Latin Am. 13 (September (9)), 2975–2982.

M.Y. Shih, C.A. Castillo Salazar, A. Conde Enríquez, (2015). Adaptive directional over-current relay coordination using ant colony optimisation, IET Gener. Transm.Distrib. 9 (November (14)), 2040–2049.

Mandal, Barun, and Provas Kumar Roy (2013), "Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization." International Journal of Electrical Power & Energy Systems 53, 123-134.

Mbuli, N., et al. (2016). "Evaluation of the impact of distributed synchronous generation on the stochastic estimation of financial costs of voltage sags." Journal of Energy in Southern Africa 27.1, 11-19.

Noghabi, Abbas Saberi, Habib Rajabi Mashhadi, and Javad Sadeh (2010). "Optimal coordination of directional overcurrent relays considering different network topologies using interval linear programming." Power Delivery, IEEE Transactions on 25.3, 1348-1354.

Pati, Tridipta Kumar, Jyoti Ranjan Nayak, and Binod Kumar Sahu (2015). "Application of TLBO algorithm to study the performance of automatic generation control of a two-area multi-units interconnected power system." Signal Processing, Informatics, Communication and Energy Systems (SPICES), IEEE International Conference on. IEEE, 2015.

Sahu, Rabindra Kumar, Tulasichandra Sekhar Gorripotu, and Sidhartha Panda (2016), "Automatic generation control of multi-area power systems with diverse energy sources using teaching learning based optimization algorithm." Engineering Science and Technology, an International Journal 19.1, 113-134.

Salazar, Carlos A. Castillo, Arturo Conde Enríquez, and Satu Elisa Schaeffer (2015). "Directional overcurrent relay coordination considering non-standardized time curves." Electric Power Systems Research 122, 42-49.

Saleh, Khaled A., et al. (2015). "Optimal Coordination of Directional Overcurrent Relays Using a New Time–Current–Voltage Characteristic." Power Delivery, IEEE Transactions on 30.2, 537-544.

Shih, Meng Yen, et al (2017). "Enhanced differential evolution algorithm for coordination of directional overcurrent relays." Electric Power Systems Research 143, 365-375.

Sriva stava, J.M. Tripathi, S.R. Mohanty, B. Panda, (2016). Optimal over-currentrelay coordination with dis tributed generation using hybrid particle swar moptimization–gravitational search algorithm, Electr. Power Compon. Syst. 44(5), 506–517.

Vanithasri, M., R. Balamurugan, and L. Lakshminarasimman (2016) "Modified radial movement optimization (MRMO) technique for estimating the parameters of fuel cost function in thermal power plants." Engineering Science and Technology, an International Journal 19.4, 2035-2042.

Wang, Can, and Yagang Zhang (2015). "Fault Corresp ondence Analysis in Complex Electric Power Systems." Advances in Electrical and Computer Engineering 15.1, 11-16.

Yadav, Anamika, Yajnaseni Dash, and V. Ashok. (2016). "ANN based directional relaying scheme for protection of Korba-Bhilai transmission line of Chhattisgarh state." Protection and Control of Modern Power Systems 1.1, 15.


Número de visitas del artículo: 31

Número de descargas: 28

Enlaces refback

  • No hay ningún enlace refback.


QUID: Investigación, ciencia y tecnología | Institución Universitaria Salazar y Herrera, IUSH - Centro de Investigación | Transversal Carrera 70 No 52-49, oficina 202 - Medellín-Colombia | Teléfono (57) (4) 4 600 700 ext 2163 | correo: quid@comunidad.iush.edu.co | ISSN-e 2462-9006  -  ISSN 1692-343X | Esta publicación hace parte del Fondo Editorial Salazar y Herrera a partir de Open Journal System, administrado por Proeditio.com, derechos reservados.