Electrical distribution network's failure analysis based on weather conditions

The failure detection and response time for failures in electrical distribution networks are key elements for proper power management in distribution companies. The reliability of electrical distribution is strictly related with weather conditions especially in overhead lines. Severe weather conditions can rapidly increase failure rates in distribution networks where company responses for failures may delayed consequently. In this study, electrical distribution network statistics of Beda; Company for Gaziosmanpasa district which contains highest overhead line population in Istanbul are investigated. These statistics are collected from failure management system in Bedas Distribution Company between 2014 and 2016. Especially electrical connector and oxidation failure rates are analyzed for different weather conditions. These statistics are compared with first four months of year 2017 which exhibit severe weather conditions and heavy falls. This study reveals the relationship between different weather conditions and failures in electrical distribution network which can be utilized for predictive management for distribution companies in terms of failure elimination and quick failure response.

[1]  Kari Mäki,et al.  Resilience of Finnish electricity distribution networks against extreme weather conditions , 2016 .

[2]  Pierluigi Mancarella,et al.  Influence of extreme weather and climate change on the resilience of power systems: Impacts and possible mitigation strategies , 2015 .

[3]  John B. Bowles Commentary - caution: constant failure-rate models may be hazardous to your design , 2002, IEEE Transactions on Reliability.

[4]  Ross Baldick,et al.  Research on Resilience of Power Systems Under Natural Disasters—A Review , 2016, IEEE Transactions on Power Systems.

[5]  Reginald DesRoches,et al.  Age-Dependent Fragility Models of Utility Wood Poles in Power Distribution Networks Against Extreme Wind Hazards , 2014, IEEE Transactions on Power Delivery.

[6]  Wenyuan Li,et al.  Fuzzy Models of Overhead Power Line Weather-Related Outages , 2008, IEEE Transactions on Power Systems.

[7]  R.E. Brown,et al.  Failure rate modeling using equipment inspection data , 2004, IEEE Transactions on Power Systems.

[8]  Michał Zeńczak Approximate relationships for calculation of current-carrying capacity of overhead power transmission lines in different weather conditions , 2017, 2017 Progress in Applied Electrical Engineering (PAEE).

[9]  Ileana Baran,et al.  Power losses on overhead lines under various loading regimes and weather conditions , 2017, 2017 5th International Symposium on Electrical and Electronics Engineering (ISEEE).

[10]  Chanan Singh,et al.  A Methodology for Evaluation of Hurricane Impact on Composite Power System Reliability , 2011, IEEE Transactions on Power Systems.

[11]  A. Pahwa,et al.  Modeling Weather-Related Failures of Overhead Distribution Lines , 2007, 2007 IEEE Power Engineering Society General Meeting.

[12]  Richard E. Brown,et al.  Electric Power Distribution Reliability , 2002 .

[13]  S. S. Venkata,et al.  Predicting vegetation-related failure rates for overhead distribution feeders , 2002 .

[14]  K Alvehag,et al.  A Reliability Model for Distribution Systems Incorporating Seasonal Variations in Severe Weather , 2011, IEEE Transactions on Power Delivery.

[15]  Seth D. Guikema,et al.  Predicting Hurricane Power Outages to Support Storm Response Planning , 2014, IEEE Access.

[16]  Jake P. Gentle,et al.  Transmission line ampacity improvements of altalink wind plant overhead tie-lines using weather-based dynamic line rating , 2017, 2017 IEEE Power & Energy Society General Meeting.

[17]  R. Billinton,et al.  Reliability Cost/Worth Assessment of Distribution Systems Incorporating Time Varying Weather Conditions and Restoration Resources , 2001, IEEE Power Engineering Review.