E. Phillips

Publications (2)0 Total impact

• Conference Proceeding: Distribution system reliability improvement using predictive models

  J.R. Aguero, J. Spare, E. Phillips, C. O'Meally, Jia Wang, R.E. Brown
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  ABSTRACT: This paper describes the methodology used by the authors for performing a predictive reliability assessment of a real distribution system of the USA. In the first stage of this approach, a Predictive Reliability Model (PRM) was developed by using five-year historical outage data, information about reliability improvement projects recently implemented by the distribution utility, distribution feeder models, and customer and feeder load data. Then the PRM parameters were iteratively adjusted to match the estimated current reliability values of the real feeders. Next, a comprehensive set of reliability improvement projects was evaluated and prioritized according to a cost-effectiveness metric based on SAIFI. After modeling the implementation of the selected projects, the SAIFI, SAIDI, CAIDI and MAIFI values of the study area were estimated. Finally, the reductions achieved by implementing the projects under fuse-clearing and fuse-saving overcurrent protection schemes were compared. The results demonstrate the advantages, versatility and potential of predictive reliability modeling.
  Power & Energy Society General Meeting, 2009. PES '09. IEEE; 08/2009
• Conference Proceeding: A reliability improvement roadmap based on a predictive model and extrapolation technique

  J.R. Aguero, R.E. Brown, J. Spare, E. Phillips, Le Xu, Jia Wang
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  ABSTRACT: This paper explains the development of a ten-year reliability improvement roadmap for a major distribution utility of the USA. First, a benchmark approach based on a survey of the reliability indices of 21 utilities of the USA and Canada was used to set the roadmap targets. Moreover, a historical outage analysis was performed to identify the main outage causes and potential reliability improvement options. Then, a detailed predictive reliability model was used to assess the cost-effectiveness of a broad set of reliability improvement projects for a pilot study area. Finally, the results of the study area were extrapolated to the utility distribution system by using a novel technique. Here, in order to consider the differences between the study area and the utility distribution system (representativeness error), the main characteristics of each feeder (length, number of customers per circuit mile, percentage of overhead and underground exposure, voltage level, etc) were taken into account. The reliability roadmap results for the utility system are presented and discussed.
  Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES; 04/2009