Fast Islanding Detection for Distribution System including PV using Multi-Model Decision Tree Algorithm

Majlesi Journal of Electrical Engineering

مقاله 4، دوره 14، شماره 4، اسفند 2020، صفحه 29-38   

نوع مقاله: Review Article

شناسه دیجیتال (DOI): 10.29252/mjee.14.4.29

نویسندگان

Rasool Ebrahimi¹؛ Ghazanfar Shahgholian^{* 2}؛ Bahador Fani²

¹Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

²Department of Electronics Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

چکیده

Modern distribution system including Distributed Generation (DG) requires reliable and fast islanding detection algorithms in order to determine the grid status. In this paper, a new multi-model classification-based method is proposed, in order to detect islanding condition for photovoltaic units. Decision tree is chosen as the classification algorithm to classify input feature vectors. The final result is based on voting among three decision tree algorithms. First order derivatives of electrical parameters are employed to construct feature vectors. To cover intermittent nature of renewable sources, different generating states for PV unit are assumed. Probable events are simulated under different system operating states to generate classification data set. The pro­po­sed method is tested on typical distribution system including the PV unit, different loads, and synchronous generator. This study sh­o­wed that this method succeeds in highly fast islanding det­ec­tion. This quick response can be used in micro-grid application as well as anti-islanding strategy. The results revealed that the proposed vot­ing-base algorithm could classify instances with very high acc­ur­a­cy which leads to reliable operation of distributed gene­rat­i­on units.

کلیدواژه‌ها

Data mining؛ distributed generation؛ Intelligent Classification؛ Micro-grid؛ Passive Islanding Detection

مراجع

[1] H. Manafi, N. Ghadimi, M. Ojaroudi, P. Farhadi, "Optimal placement of distributed generations in radial distribution systems using various PSO and DE algorithms", Elecktronika, Vol. 19, No. 10, pp. 53-57, 2013.

[2] S. Gorji, S. Zamanian, M. Moazzami, “Techno-eco-nomic and environmental base approach for optimal energy management of microgrids using crow search algorithm”, Journal of Intelligent Procedures in Electr‌ical Technology, Vol. 11, No. 43, pp. 49-68, Autumn 2020.

[3] E. Aghadavoodi, G. Shahgholian, "A new practical feed-forward cascade analyze for close loop identi‌fic‌at‌i‌on of combustion control loop system through RANFIS and NARX", Applied Thermal Engineering, Vol. 133, pp. 381-395, March 2018.

[4] G. Shahgholian, Z. Azimi, "Analysis and design of a DSTATCOM based on sliding mode control strategy for improvement of voltage sag in distribution systems", Electronics, Vol. 5, No. 3, pp. 1-12, 2016.

[5] J. Faiz, G. Shahgholian, M. Ehsan, “Stability analysis and simulation of a single‐phase voltage source UPS inverter with two‐stage cascade output filter”, European Transactions on Electrical Power, Vol. 18, No. 1, pp. 29-49, Jan. 2008.

[6] B. Fani, F. Hajimohammadi, M. Moazzami, M. J. Mo‌rs‌hed, “An adaptive current limiting strategy to prevent fuse-recloser miscoordination in PV-dominated distribution feeders”, Electric Power Systems Research, Vol. 157, pp. 177-186, April 2018.

[7] M. Salari, F. Haghighatdar-Fesharaki, “Optimal plac‌em‌‌ent and sizing of distributed generations and cap‌ac‌it‌ors for reliability improvement and power loss minimization in distribution networks”, Journal of Intelligent Procedures in Electrical Technology, Vol. 11, No. 43, pp. 83-94, Autumn 2020.

[8] B. Keyvani-Boroujeni, G. Shahgholian, B. Fani, "A distributed secondary control approach for inverter-dominated microgrids with application to avoiding bifurcation-triggered instabilities", IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8, No. 4, pp. 3361-3371, Dec. 2020.

[9] M.A. Ozcelik, A.S. Yilmaz, S. Kucuk, M. Bayrak, "Efficiency in centralized DC systems compared with distributed DC systems in photovoltaic energy conver‌sion", Elektronika, Vol. 21, No. 6, pp. 51-56, 2015.

[10] M. Tavoosi, B. Fani, E. Adib, “Stability analysis and control of DFIG based wind turbine using FBC strategy”, Journal of Intelligent Procedures in Electrical Technology, Vol. 4, No. 15, pp. 31-42, 2013.

[11] E. Hosseini, G. Shahgholian, "Partial- or full-power production in WECS: A survey of control and structural strategies", European Power Electronics and Drives, Vol. 27, No. 3, pp. 125-142, Dec. 2017

[12] F. Varshosaz, M. Moazzami, B. Fani and P. Siano, "Day-ahead capacity estimation and power management of a charging station based on queuing theory", IEEE Trans. on Industrial Informatics, Vol. 15, No. 10, pp. 5561-5574, Oct. 2019

[13] G. Wang, J. Wang, Z. Zhou, Q. Wang, Q. Wu, X. Jiang, E. Santana, "State variable technique islanding detection using time-frequency energy analysis for DFIG wind turbine in microgrid system", ISA Tran‌sa‌ctions, Vol. 80, pp. 360-370, Sep. 2018.

[14] E. Abbaspour, B. Fani, E. Heydarian-Forushani, “A bi-level multi agent based protection scheme for distribution networks with distributed generation”, International Journal of Electrical Power and Energy Systems, Vol. 112, pp. 209-220, Nov. 2019

[15] R. Nale, K. Venkatanagaraju, S. Biswal, M. Biswal, N. Kishor, "Islanding detection in distributed generation system using intrinsic time decomposition", IET Gener‌ation, Transmission and Distribution, Vol. 13, No. 5, pp. 626-633, March 2019.

[16] A. Shrestha, R. Kattel, M. Dachhepatic, B. Mali, R. Thapa, A. Singh, D. Bista, B. Adhikary, A. Papadakis, R. K. Maskey, "Comparative study of different approaches for islanding detection of distributed generation systems", Applied System Innovation, Vol. 25, No. 2, 2019.

[17] IEEE Standards 1547, "Standard for interconnecting distributed resources with electric power systems", July 2003.

[18] A.S. Aljankawey, W. G. Morsi, L. Chang, C.P. Diduch, "Passive method-base islanding detection of renewa‌ble-based distributed generation: The Issue", Proce‌edi‌n‌g of the IEEE/EPEC, pp. 1-8, Aug. 2010.

[19] A. Elmitwally, M. Elsaid, M. Elgamal, Z. Chen, "A fuzzy-multi agent service restoration scheme for dist‌ri‌bu‌tion system with distributed generation", IEEE Trans. on Sustainable Energy, Vol. 6, No. 3, pp. 810-821, July 2015.

[20] IEEE Standards 1547.1, "Standard conformance test procedure for equipment interconnecting distributed resources with electric power systems, 2005.

[21] M. M. Taheri, H. Seyedi, M. Nojavan, M. Khoshbouy, B. Mohammadi-Ivatloo, "High-speed decision tree bas‌ed series-compensated trans‌miss-ion lines protection us‌ing differential phase angle of superimposed curr‌e‌n‌t", IEEE Trans. on Power Delivery, Vol. 33, No. 6, pp. 3130 – 3138, Dec. 2018.

[22] H. Pourbabak, A. Kazemi, "Islanding detection method based on a new approach to voltage phase angle of constant power inverters", IET Generation, Transmi‌ssion and Distribution, Vol. 10, No. 5, pp. 1190-1198, April 2016.

[23] M. M. Taheri, H. Seyedi, B. Mohammadi-Iva‌tloo, "DT-based relaying scheme for fault class‌ifi‌cat‌ion in transmission lines using MODP", IET Gene‌rat-ion, Transmission and Distribution, Vol. 11, No. 11, pp. 2796-2804, Feb. 2017.

[24] V. Menon, M.H. Nehrir, "A hybrid islanding detection technique using voltage unbalance and frequency set point", IEEE Trans. on Power Systems, Vol. 22, No. 1, pp. 442-448, Feb. 2007.

[25] S. Dutta, P. K. Sadhu, M. J. B. Reddy, D. K. Mohanta, "Shifting of research trends in islanding detection method- A comprehensive survey", Protec‌tion and Control of Modern Power Systems, Vol. 3, No. 1, pp. 1-20, 2018.

[26] W. Xu, G. Zhang, C. Li, W. Wang, G. Wang, J. Kliber, "A power line signaling technique for anti-islanding protection of distributed generators- Part I: Scheme and analysis", IEEE Trans. on Power Delivery, Vol. 22, No. 3, pp. 1767-1772, July 2007.

[27] R.S. Kunte, W. Gao, "Comparison and review of islan‌ding detection for distributed energy resources", Proceedings of the North American Power Symposium. pp. 1-8, 2008.

[28] L.A.C. Lopes, H. Sun, "Performance assessment of active frequency drifting islanding detection methods”, IEEE Trans. on Energy Con‌version, Vol. 21, No. 1, pp. 171-180, Feb. 2006.

[29] M.E. Ropp, M. Begovic, A. Rohatgi, "Analysis and performance assessment of the active frequency drift method of islanding prevention", IEEE Trans. on Energy Conversion, Vol. 14, No. 3, pp. 810-816, Sep. 1999.

[30] P. Mahat, Z. Chen, B. Bak-Jensen, "Review of islan‌ding operation of distribution system with distributed generation", Proceedings of the IEEE/PES, pp. 1-8, July 2011.

[31] F. Liu, Y. Kang, Y. Zhang, S. Duan, X. Lin, "Improve SMS islanding detection method for grid-connected converters", IET Renewable Power Generation, Vol. 4, No. 1, pp.36-42, Jan. 2010.

[32] S. Bifaretti, A. Lidozzi, L. Solero, F. Crescimbini, "Anti-islanding detector based on a robust PLL", IEEE Trans. on Industry Applications, Vol. 51, No. 1, pp. 398-405, Jan./Feb. 2015.

[33] B. Wen, D. Boroyevich, R. Burgos, Z. Shen, P. Matt‌av‌e‌lli, "Impedance-based analysis of active frequ‌en‌cy drift islanding detection for grid-tied inverter sys‌tem", IEEE Trans. on Industry Application, Vol. 52, No. 1, pp. 332-341, Jan./Feb 2016.

[34] A. Yafaoui, B. Wu, S. Kouro, "Improved active frequency drift anti-islanding detection method for grid connected photovoltaic systems", IEEE Trans. on Power Electronics, Vol. 27, No. 5, pp. 2367-2375, May 2012.

[35] H.H. Zeineldin, S. Kennedy, "Sandia frequency-shift parameter selection to eliminate nondetection zones”, IEEE Trans. on Power Delivery, Vol. 24, No. 1, pp. 486-487, Jan. 2009.

[36] M.A. Hosani, Z. Qu, H.H. Zeineldin, "Scheduled pertu‌rbation to reduce non detection zone for low gain sandia frequency shift method", IEEE Trans. on Smart Grid, Vol. 6, No. 6, pp. 3095-3103, Nov. 2015.

[37] S. Liu, S. Zhuang, Q. Xu, J. Xiao, "Improved voltage shift islanding det‌ection method for multi-inverter grid-connected photovoltaic sys‌tems", IET Generation, Transmission & Distribution, Vol. 10, No. 13, pp. 3163-3169, Oct. 2016.

[38] D.D. Reigosa, F. Briz, C.B. Charro, J.M. Guerrero, "Islanding detection in three-phase and single-phase systems using pulsating high-frequency signal injection", IEEE Trans. on Power Electronics, Vol. 30, No. 12, pp. 6672-6683, Dec. 2015.

[39] W. Freitas, W. Xu, C.M. Affonso, Z. Huang, "Comparative analysis between ROCOF and vector surge relays for distributed generation applications", IEEE Trans. on Power Delivery, Vol. 20, No. 2, pp. 1315-1324, April 2005.

[40] J. Merino, P. Mendoza-Araya, G. Venkataramanan, M. Baysal, "Islanding detection in microgrids using harmonic signatures", IEEE Trans. on Power Delivery, Vol. 30, No. 5, pp. 2102–2109, Oct. 2015.

[41] A.G. Abd-Elkader, S.M. Saleh, M.B.M. Eiteba, "A passive islanding detection strategy for multi-distributed generations", International Journal of Electrical Power and Energy Systems, Vol. 99, pp. 146-155, July 2018.

[42] H. Samet, F. Hashemi, T. Ghanbari, "Islanding dete‌ct‌i‌o‌n method for inverter-based distributed generation with negligible non-detection zone using energy of rate of change of voltage phase angle", IET Generation, Transmission and Distribution, Vol. 9, No. 15, pp. 2337-2350, Nov. 2015.

[43] P. Mahat, Z. Chen, B.B. Jensen, "A hybrid islanding detect technique using rate of voltage change and real power shift", IEEE Trans. on Power Delivery, Vol. 24, No. 2, pp. 764-771, April 2009.

[44] W. Freitas, Z. Huang , W. Xu, "A practical method for assessing the effectiveness of vector surge relays for distributed generation applications", IEEE Trans. on Power Delivery, Vol. 20, No. 1, pp. 57-63, Jan. 2005.

[45] S.I. Jang, K.H. Kim, "An islanding detection method for distributed generation using voltage unbalance and total harmonic distortion of current”, IEEE Trans. on Power Delivery, Vol. 19, No. 2, pp.745-752, 2004.

[46] A. Samui S.R. Samantaray, "Assessment of ROCPAD relays for islanding detection in distributed generation", IEEE Trans. on Smart Grid, Vol. 2, No. 2, pp.391-398, June 2011.

[47] N. Liu, C. Diduch, L. Chang, J. Su, "A reference impedance- base‌d pas‌s‌i‌ve islanding detection method for inverter-based distributed gener‌ation system", IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 3, No. 4, pp. 1205-1217, July 2015.

[48] G. Bayrak, E. Kabalci, "Implementation of a new remote islanding detection method for wind–solar hybrid power plants", Renewable and Sustainable Energy Reviews, Vol. 58, pp. 1-15, May 2016.

[49] A. Pigazo, M. Liserre, R. A. Mastromauro, V. M. Moreno, A. Dell'Aquila, "Wavelet-based islanding detection in grid-connected PV systems", IEEE Trans. on Industrial Electronics, Vol. 56, No. 11, pp. 4445–4455, Nov. 2009.

[50] K. El-Arroudi, G. Joos, I. Kamwa, D.T. McGillis, "Intelligence base approach to islanding detection in distributed generation", IEEE Trans. on Power Delivery, Vol. 22, No. 2, pp. 828-835, April 2007.

[51] K. El-Arroudi. G. Joos, I. Kamwa, "Data mining approach to threshold settings of islanding relays in distributed generation", IEEE Trans. on Power Systems, Vol. 22, No. 3, pp. 1112-1119, Aug. 2007.

[52] W.K.A. Najy, H.H. Zeineldin, A.H.K. Alaboudy, W.L. Woon, "A bayesian passive islanding detection method for inverter-based distributed generation using ESPRIT", IEEE Trans. on Power Delivery, Vol. 26, No. 4, pp. 2687-2696, Oct. 2011.

[53] X. Wang, F. Liu, "Data-driven relay selection for physical-layer security: A decision tree approach", IEEE Access, Vol. 8, 12105 – 12116, 2020.

[54] M. Gohari, A. M. Eydi, "Modelling of shaft unbalance: Modelling a multi discs rotor using k-nearest neighbor and decision tree algorithms", Measurement, Vol. 151, Article 107253, Feb. 2020.