This paper presents an approach that uses statistical techniques to analyze and interpret time of outage restoration (TOR) data in distribution systems with respect to several selected factors. The factors an classified into three main categories: (1) time; (2) consequence; and (3) environment. Each category is further broken down into groups and classes for more detailed analysis. Both statistical, quantitative results and field engineering insights are correlated and discussed. The approach taken in this paper can be easily modified for other utilities' TOR analysis. These analyses can provide a better understanding as to how the restoration time is affected by different influential factors. The methodology and general discussion in the paper will be useful for future research and development of the TOR issues in distribution systems, such as model development for customer service improvement, distribution operations, and planning.
No takes yet. Share an insight, caveat, or question.
Chow et al. (1996) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: