Weather-based interruption prediction in the smart grid utilizing chronological data

Journal of Modern Power Systems and Clean Energy

Volumn 4, Issue 2, 2016, Pages 308-315

  Sarwat, Arif I ^a   Amini, Mohammadhadi ^a   Domijan, Alexander ^b   Damnjanovic, Aleksandar ^c   Kaleem, Faisal ^a  

^a The Department of Electrical and Computer Engineering   (United States)

^b the State University of New York   (United States)

^c Power Systems   (United States)

Author keywords

Artificial neural networks; Interruption prediction; Modeling; Self healing; Smart grid; Weather conditions effect

Indexed keywords

ATMOSPHERIC PRESSURE; ELECTRIC POWER TRANSMISSION NETWORKS; METEOROLOGY; MODELS; NEURAL NETWORKS; RISK ASSESSMENT; SELF-HEALING MATERIALS; SMART POWER GRIDS; WEATHER FORECASTING;

BAROMETRIC PRESSURE; CHRONOLOGICAL DATUM; DETERMINISTIC SIMULATION; ENVIRONMENTAL CONDITIONS; SELF-HEALING; SELF-HEALING TECHNOLOGIES; SMART GRID; THEORETICAL MODELING;

PREDICTIVE ANALYTICS;

EID: 84964310766     PISSN: 21965625     EISSN: 21965420     Source Type: Journal    
DOI: 10.1007/s40565-015-0120-4     Document Type: Article

References (20)

1. Brown RE, Gupta S, Christie RD et al (1997) Distribution system reliability assessment: momentary interruptions and storms. IEEE Trans Power Deliver 12(4):1569–1575
2. Coelho J, Nassar SM, Gauche E et al (2003) Reliability diagnosis of distribution systems under adverse weather conditions. In: Proceedings of the 2003 IEEE Bologna power tech conference, vol 4, Bologna, 23–26 Jun 2003, 5 pp
3. Billinton R, Wu CJ (2001) Predictive reliability assessment of distribution systems including extreme adverse weather. In: Proceedings of the 2001 Canadian conference on electrical and computer engineering, vol 2, Toronto, 13–16 May 2001, pp 719–724
4. Orille AL, Bogarra S, Grau MA et al (2003) Fuzzy logic techniques to limit lightning surges in a power transformer. In: Proceedings of the 2003 IEEE Bologna power tech conference, vol 2, Bologna, 23–26 Jun 2003, 6 pp
5. Higashiyama Y, Sugimoto T, Otsubo S et al (1999) Heavy salt deposition onto a distribution line by a seasonal wind in winter. In: Proceedings of the 1999 IEEE power engineering society summer meeting, vol 2, Edmonton, 18–22 Jul 1999, pp 882–887
6. Domijan A, Islam A, Wilcox WS et al (2004) Modeling the effect of weather parameters on power distribution interruptions. In: Proceedings of the 7th IASTED international conference on power and energy systems, Clearwater Beach, 28 Nov–1 Dec 2004, No 448-130
7. Richards CS, Benner CL, Butler-Purry KL et al (2003) Electrical behavior of contaminated distribution insulators exposed to natural wetting. IEEE Trans Power Deliver 18(2):551–558
8. Savadjiev K, Farzaneh M (2004) Modeling of icing and ice shedding on overhead power lines based on statistical analysis of meteorological data. IEEE Trans Power Deliver 19(2):715–721
9. Amini MH, Nabi B, Haghifam MR (2013) Load management using multi-agent systems in smart distribution network. In: Proceedings of the 2013 IEEE power and energy society general meeting, Vancouver, 21–25 Jul 2013, 5 pp
10. Willis HL (2002) Spatial electric load forecasting, 2nd edn. CRC Press, Boca Raton
11. Brown RE (2009) Electric power distribution reliability. CRC Press, Boca Raton
12. Surface weather observation stations. http://www.faa.gov/
13. Gowri Manohar T, Veera Reddy VC (2008) Load forecasting by a novel technique using ANN. ARPN J Eng Appl Sci 3(2):19–25
14. Archer BA, Annakkage UD, Jayasekara B et al (2008) Accurate prediction of damping in large interconnected power systems with the aid of regression analysis. IEEE Trans Power Syst 23(3):1170–1178
15. Jayasekara B, Annakkage UD (2006) Derivation of an accurate polynomial representation of the transient stability boundary. IEEE Trans Power Syst 21(4):1856–1863
16. Wehenkel L (1996) Contingency severity assessment for voltage security using non-parametric regression techniques. IEEE Trans Power Syst 11(1):101–111
17. Li DH, Cao YJ (2005) SOFM based support vector regression model for prediction and its application in power system transient stability forecasting. In: Proceedings of the 7th international power engineering conference (IPEC’05), vol 2, Singapore, 29 Nov–2 Dec 2005, pp 765–770
18. Hagan MT, Demuth HB, Beale MH (1996) Neural network design, vol 1. PWS Publishing Company, Boston
19. Specht DF (1991) A general regression neural network. IEEE Trans Neural Network 2(6):568–576
20. Sargolzaei S, Faez K, Sargolzaei A (2007) Predicting total hydro carbons amount of air using artificial neural network. In: Proceedings of the 3rd international conference on natural computation (ICNC’07), vol 3, Haikou, 24–27 Aug 2007, pp 323–327