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Track: Electric and Gas Utilities
Kevan Newton
Southern California Edison
2131 Walnut Grove Ave Bldg. GO3 Rm 228
Rosemead, CA 91770
Telephone: 818-302-7545
Fax: 818-302-8240
E-mail: newtonkq@sce.com
On the Methodology of Defining Substation Spheres of Influence Within an Electric Vehicle Project Framework
As electric vehicles (EVs) make their way onto Southern California's landscape, Edison is proactively taking steps to meet the associated electric demand. Confident that their generation capacities are sufficient, Edison's primary concern regarding EVs is their potentially significant impact on the localized distribution system (i.e., at the substation and circuit levels.) To predict this demand, Edison receives data forecasting EV purchase behavior by census tract. Unfortunately, this level of geography tells Edison nothing about the future impact on the localized distribution system, nor other relevant levels such as the city, county, or Edison Customer Service District. To this end, a methodology has been developed to convert the known schematic link between customer meters and substations into geographic data by defining the areal extent a substation serves, known as its Sphere of Influence (SOI). This area can then be used to predict the future load on each substation and compare it to the
substation's capacity, and in the future, census tracts can be grouped at this level and new forecast data developed. This paper will describe in detail the role of GIS within this effort as it relates to the creation and need for SOI data and load forecasting, as well as a brief discussion of the methods rejected.
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