Enhancing Power Distribution Feeders Restoration with a Probabilistic Crew Dispatch Method: Case Studies using Historical Data from a Brazilian Power Distribution Company

References

[1] Balijepalli N, Venkata SS, Richter CW, Christie RD, Longo VJ. Distribution system reliability assessment due to lightning storms. IEEE Trans Power Delivery. 2005;21532159.10.1109/TPWRD.2005.848724Search in Google Scholar

[2] Maliszewski PJ, Larson EK, Perrings C. Environmental determinants of unscheduled residential outages in the electrical power distribution of Phoenix, Arizona. Reliab Eng Syst Saf. 2012;99:161–171.10.1016/j.ress.2011.10.011Search in Google Scholar

[3] Zidan A, Khairalla M, Abdrabou AM, Khalifa T, Shaban K, Abdrabou A, Shatshat RE, Gaouda AM. Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-art and Future Trends. IEEE Trans Smart Grid. 2016;99:1–16.10.1109/TSG.2016.2517620Search in Google Scholar

[4] Thomas MS, McDonald JD. Power system SCADA and smart grids. Boca Raton, Florida, United States: CRC Press, 2015.Search in Google Scholar

[5] Aguero JR. Applying self-healing schemes to modern power distribution systems. In: IEEE Power and Energy Society General Meeting, San Diego, USA, 2012:1–4.10.1109/PESGM.2012.6344960Search in Google Scholar

[6] Gonen T. Electric power distribution system engineering. New York: McGraw-Hill, 1986.Search in Google Scholar

[7] Martinez EM, Richards EF. An expert system to assist distribution dispatcher in the location of system outages. In: 35th Annual Conference Rural Electric Power Conference, Dearborn, 1991:A2/1-A2/5.Search in Google Scholar

[8] Dong Y, Kezunovic M. Advanced fault location and impact on optimized repair crew dispatch. In: The 12th International Conference on Probabilistic Methods Applied to Power Systems, Istanbul, Turkey, Jun 2012.Search in Google Scholar

[9] Camillo MHM, Fanucchi RZ, Romero MEV, de Lima TW, Soares AS, Delbem ACB, Marques LT, Maciel CD, London Jr, JBA. Combining exhaustive search and multi-objective evolutionary algorithm for service restoration in large-scale distribution system. Electr Power Syst Res. 2016;134:1–8.10.1016/j.epsr.2015.12.003Search in Google Scholar

[10] Mansour MR, Santos AC, London Jr, JBA, Delbem ACB, Bretas NG. Node-depth encoding and evolutionary algorithm applied to service restoration in distribution systems. In: 2010 IEEE PES General Meeting, Minneapolis, USA, 2010:1–8.10.1109/PES.2010.5589541Search in Google Scholar

[11] Dimitrijevic S, Rajakovic N. An innovative approach for solving the restoration problem in distribution networks. Electr Power Syst Res. 2011;81:1961–72.10.1016/j.epsr.2011.06.005Search in Google Scholar

[12] Wang S, Chiang HD. Multi-Objective service restoration of distribution systems using user-centered methodology. Electr Power Energy Syst 2016;80:140–9.10.1016/j.ijepes.2016.01.021Search in Google Scholar

[13] Ferreira GD, Gazzana DS, Bretas AS, Ferreira AH, Bettiol AL, Carniato A. Impedance-based fault location for overhead and underground distribution systems. In: North American Power Symposium, Champaign, Illinois, USA, 2012:1–6.10.1109/NAPS.2012.6336391Search in Google Scholar

[14] Choi MS, Lee SJ, Lee DS, Jin BG. A new fault location algorithm using direct circuit analysis for distribution system. IEEE Trans Power Delivery 2004;19:35–41.10.1109/TPWRD.2003.820433Search in Google Scholar

[15] Ray P, Mishra D. Application of extreme learning machine for underground cable fault location. Int Trans Electr Energy Syst. 2015;25:3227–47.10.1002/etep.2032Search in Google Scholar

[16] Ye H, Rui K, Zhu Z, Zeng X, Yang D, Cao Y. A novel single-phase grounding fault location method with traveling wave for distribution networks. In: 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), Changsha, 2015:1175–9.10.1109/DRPT.2015.7432412Search in Google Scholar

[17] Kezunovic M. Smart fault location for smart grids. IEEE Trans Smart Grid. 2011;2:11–22.10.1109/TSG.2011.2118774Search in Google Scholar

[18] Borunda M, Jaramillo OA, Reyes A, Ibarguengoytia PH. Bayesian networks in renewable energy systems: a bibliographical survey. Renewable and Sustainable Energy Rev. 2016;62:32–45.10.1016/j.rser.2016.04.030Search in Google Scholar

[19] Amini B, Khatoonabadi SH, Zamanifar A. Trouble call based outage determination in power distribution networks using ANFIS. In: 6th International Conference on Power Electronics and Drives Systems (PEDS 2005), Kuala Lampur, Malaysia, Dec 2005.Search in Google Scholar

[20] Tongyou X, Yuncheng Z, Yu Z. Study and implementation of rural distribution network fault location method based on Bayesian reference. In: 2nd International Conference on Information Science and Engineering (ICISE), Hangzhou, China, Dec 2010:1528–32.10.1109/ICISE.2010.5691866Search in Google Scholar

[21] Xiang Y, Cobben JFG. A Bayesian approach for fault location in medium voltage grids with underground cables. IEEE Power Energy Technol Syst J. 2015;2:116–24.10.1109/JPETS.2015.2477598Search in Google Scholar

[22] Yu X, Dwivedi A, Sokolowski P. On Complex network for fault detection in power hrids. In: IEEE International Conference on Control and Automation, Christchurch, New Zealand, 2009:13–16.10.1109/ICCA.2009.5410218Search in Google Scholar

[23] Slijvak D, Nikolovski S, Kovak Z. Distribution network restoration using sequential Monte Carlo approach. In: 9th International Conference on Probabilistic Methods Applied to Power Systems, Stockholm, Sweden, 2006.10.1109/PMAPS.2006.360267Search in Google Scholar

[24] Huang X, Taylor G, Irving M, Zhang L, Tao W. Service restoration of distribution systems using enhanced NDE with LCO. In: Power and Energy Society General Meeting (PES), 2013 IEEE. IEEE, 2013:1–5.Search in Google Scholar

[25] Santos AC, Delbem AC, London JBA, Bretas NG. Node-depth encoding and multiobjective evolutionary algorithm applied to large-scale distribution system reconfiguration. IEEE Trans Power Syst. 2010;25:1254–65.10.1109/TPWRS.2010.2041475Search in Google Scholar

[26] Muttaqi KM, Agahei J, Ganapathy V, Nezhad AE. Technical challenges for electric power industries with implementation of distribution system automation in smart grids. Renewable Sustainable Energy Rev. 2015;46:129–42.10.1016/j.rser.2015.02.013Search in Google Scholar

[27] Rodriguez-Calvo A, Cossent R, Fras P. Assessing the potential of MV automation for distribution network reliability improvement. Int Trans Electr Energy Syst. 2017.10.1002/etep.2383Search in Google Scholar

[28] Roos F, Lindah S. Distribution system component failure rates and repair times – An overview. In: Proceeding Distribution and Asset Management Configuration, Helsinki, Finland, August 2004:1–6.Search in Google Scholar

[29] Zio E. Reliability engineering: old problems and new challenges. Reliab Eng Syst Saf. 2009;94:125–41.10.1016/j.ress.2008.06.002Search in Google Scholar

[30] Chowdhury AA, Koval DO. Power distribution system reliability: practical methods and applications. Hoboken, New Jersey: John Wiley & Sons, Institute of Electrical and Electronics Engineers, 200910.1002/9780470459355Search in Google Scholar

[31] Zio E. The Monte Carlo simulation method for system reliability and risk analysis. Berlin: Springer-Verlag, 201310.1007/978-1-4471-4588-2Search in Google Scholar

[32] Billinton R, Li W. Reliability assessment of electric power systems using Monte Carlo methods. Berlin: Springer Science+Business Media, 199410.1007/978-1-4899-1346-3Search in Google Scholar

[33] Rosenkrantz DJ, Stearns RE, Lewis PM. An analysis of several heuristics for the traveling salesman problem. SIAM J Comput. 1977;6:563581.10.1007/978-1-4020-9688-4_3Search in Google Scholar

[34] Curtis SA. The classification of greedy algorithms. Sci Comput Program. 2003;49:125–57.10.1016/j.scico.2003.09.001Search in Google Scholar