Use of Distributed Intelligence for Reliability Improvement Using Minimum Available Distribution Assets

This case study will demonstrate how advanced distributed intelligence solved a particular problem for a cooperative electric power delivery company in the southeastern United States. The utility was challenged to improve service to a large consumer goods retailer-or face the possibility that the retailer would move its operation out of the area-taking much needed jobs and tax revenue with it. The electric power delivery company was additionally challenged with insufficient capacity on nearby substations to implement traditional reliability improvement schemes. And, alternate power circuits were not sufficiently reliable to provide improvement. In addition, a discussion of the underlying techniques used to implement advanced distributed intelligence in a distribution automation scheme will be presented