Determination of Protection and Relay Coordination Strategy in Electrical Power Systems Based on Renewable Energy Generation Resource Using Petri Net Method

Öz

The principle of protection in electrical power system targets to determinate at timely of accruing faults and to isolate at the most appropriate time of the faulted sections of the power grid. This situation is realized through coordination among the protective devices. The involvement of renewable energy generation resources to the energy transmission system complicates the network protection, thus undermining the security coordination or decreasing the protection coordination zone. In particular, such issues become even more vigorous in power networks with effect of renewable energy resource generations. Therefore, the conventional power protection methods are insufficient in such networks, requiring software strategies involving the renewable energy generation resources. For that purpose in this study, Petri net method is used for estimating the faulted section in power transmission network in the presence of renewable energy generation resources and designing of protection coordination schemes. The information about the status of protection elements acquired from the automation system was adopted as input to the Petri net method. Renewable energy resource generations effect can increase the risk of disharmony among protection systems. The accuracy of Petri net models are improved by phase angle shifts in the voltage waveforms of renewable energy generation resources and the main power supply using Fast Fourier Transform (FFT) through which the Petri net model inputs was corrected.

Anahtar Kelimeler

• Electrical Power System,Protection Coordination Strategies,Automation,Petri Nets Method

Kaynakça

1. [1] Brown, P.D., Lopes, J., Matos, M.A., “Optimization of pumped storage capacity is an isolated power system with large renewable penetration”, IEEE Transactions on Power Systems, 23(2): 523-531, (2008).
2. [2] Conti, S., “Analysis of distribution network protection issues in presence of dispersed generation”, Electrical Power System Research, 79(1): 49-56, (2009).
3. [3] Panwar, N.L., Kaushik, S.C., Kothari, S., “Role of renewable energy sources in environmental protection: a review”, Renewable and Sustainable Energy Reviews, 15(3): 1513-1524, (2011).
4. [4] Simpson-Porco., John, W., Dörfler, F., Bullo, F., “Synchronization and power sharing for droop-controlled inverters in islanded microgrids”, Automatica, 49(9): 2603-2611, (2013).
5. [5] Balaguer, I.J., Lei, Q., Yang, S., Supatti, U., Peng, F.Z., “Control for grid-connected and intentional islanding operations of distributed power generation”, IEEE Transactions on Industrial Electronics, 58(1): 147-157, (2011).
6. [6] Pamuk, N., Uyaroglu, Y., “Fault Section Estimation of Electric Energy Systems Using Petri Nets”, 6th International Ege Energy Syposium and Exhibition (6th IEESE), 28-30 June, Izmir, Turkey, 608-616, (2012).
7. [7] Pamuk, N., Uyaroglu, Y., “The Determination of Fault Sections on Energy Transmission Lines Using Fuzzy Petri Nets”, 6th International Ege Energy Syposium and Exhibition (6th IEESE), 28-30 June, Izmir, Turkey, 617-625, (2012).
8. [8] Kolla, S.R., Altman, S.D., “Artificial neural network based fault identification scheme implementation for a three-phase induction motor”, ISA Transactions, 46(2): 261-266, (2007).

9. [9] Gan, Z., Elangovan S., Liew A.C., “Microcontroller based overcurrent relay and directional overcurrent relay with ground fault protection”, Electric Power Systems Research, 38(1): 11-17, (1996).
10. [10] Petri, C.A., “Kommunikation mit Automaten. Bonn: Institut für Instrumentelle Mathematik, Schriften des IIM Nr. 3, Translation: Communication with Automata”, New York: Griffiss Air Force Base, Tech. Rep., RADC-TR-65-377, 1(1): (1966).
11. [11] Pamuk, N., Uyaroğlu, Y., “Modeling of fault diagnosis in power systems using petri nets”, Elektronika ır Elektrotechnika, 118(2): 63-66, (2012).
12. [12] Moore, K.E., Güngör, A., Gupta, S.M., “Petri net approach to disassembly process planning for products with complex and/or precedence relationships”, European Journal of Operational Research, 135(1): 428-449, (2001).
13. [13] Lo, K.L., Ng, H.S., Grant, D.M., Trecat, J., “Extended petri net models for fault diagnosis for substation automation”, IEEE Proceedings of Generation, Transmission and Distribution, 146(3): 229-234, (1999).
14. [14] Korpeoglu, B.B., Yazici, A., “A fuzzy petri net model for intelligent databases”. Data & Knowledge Engineering, 62(1): 219-247, (2007).
15. [15] Bulanch, S., Brauchle, A., Pfleiderer, H.J., Kuceravsky, Z., “Design and implementation of discrete event control systems: a petri net based hardware approach”, Discrete Event Dynamic Systems Theory and Applications, 12(3): 287-309, (2002).
16. [16] Uzam, M., Jones, A.H., “Discrete event control systems design using automation petri nets and their ladder logic diagram implemantations”, International Journal of Advanced Manufacturing Technology, 14(10): 716-728, (1998).
17. [17] Sun, Y., Jiang, H., Wang, D., “Fault synthetic recognition for an EHV transmission line using a group of neural network with a time-space property”, IEEE Proceedings of Generation, Transmisssion and Distributions, 145(3): 265-270, (1998).
18. [18] Pamuk, N., “Usage and Applications of Petri Nets in Electric Power System Protection Analysis”, Sakarya University, Institute of Natural Sciences, Department of Electric Electronic Engineering, Ph.D. Thesis, Sakarya, Turkey, (2012).
19. [19] Ramos, G., Sanchez, J.L., Torres, A., Rios, M.A., “Power systems security evaluation using petri nets”, IEEE Transactions on Power Delivery, 25(1), 316-322, (2010).
20. [20] Calderaro, V., Hadjicostis, C.N., Piccolo, A., Siano, P., “Failure identification in smart grids based on petri net modeling”, IEEE Transactions on Industrial Electronics, 58(10): 4613-4623, (2011).
21. [21] Calderaro, V., Galdi, V., Piccolo, A., Siano, P., “A Petri net based protection monitoring system for distribution networks with distributed generation”, Electric Power Systems Research, 79(9): 1300-1307, (2009).
22. [22] Brahma, S.M., “Fault location in power distribution system with penetration of distributed generation”, IEEE Transactions on Power Delivery, 26(3): 1545-1553, (2011).
23. [23] Calderaro, V., Piccolo, A., Galdi, V., Siano, P.V., “Identifying Fault Location in Distribution Systems with High Distributed Generation Penetration”, IEEE AFRICON'09, 23-25 September, Nairobi, Kenya, 1-6, (2009).
24. [24] Hsieh, F.S., Lin, J.B., “A self-adaptation scheme for workflow management in multi-agent systems”, Journal of Intelligent Manufacturing, 27(1): 131-148, (2016).
25. [25] Guochen, C., Han L., Zhu B., “Realization method of adaptive protection system with distributed structure for large-scale transmission network”, Automation of Electric Power Systems, 12(1): 13-26, (2015).
26. [26] Mansour, M.M., Wahab, M.A., Soliman, W.M., “Petri nets for fault diagnosis of large power generation station”, Ain Shams Engineering Journal, 4(4): 831-842, (2013).