Traditional reliability measures for electric utilities are based on average interruption frequency, usually for entire circuits, but also for boundaries such as towns or operating districts. For example, the CEMI metric (Customers Experiencing Multiple Interruptions) is applied to a circuit or boundary and expressed as a percentage.
These generalized statistics have been effective through the years, but advances in technology are now able to capture each individual customer's experience. Combined with the analysis and visualization power of GIS, this new wealth of information provides insight beyond the averages, exposing geographic pockets of poor performance that were previously masked by conventional metrics.
Derived from CEMI, Geo-CEMI geographically weights the distribution of electricity reliability. With customer-level interruption and location data at its source, this new way of analyzing reliability has great potential for optimizing asset management. By identifying or projecting trouble spots and then taking appropriate action, cost-effective system improvements can be achieved while delivering more reliable electric service to customers.
Courtesy of National Grid.
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Jeff Pires
Waltham, Massachusetts, USA
ArcGIS Desktop 9.2, ArcGIS Spatial Analyst
HP Designjet 1050 c Plus
National Grid