DocumentCode :
3367504
Title :
Selection of distribution feeders for implementing distributed and renewable energy applications
Author :
Kroposki, Benjamin ; Sen, P.K. ; Malmedal, Keith
Author_Institution :
Nat. Renewable Energy Lab., Golden, CO
fYear :
2009
fDate :
26-29 April 2009
Abstract :
Climate change concerns, mandated renewable portfolio standards, lucrative government incentives, and accelerated cost reduction in renewables and distributed energy applications are driving steep growth in system installations. distributed energy resources (DER) are not commonly connected to a bulk power transmission system, instead are interconnected near the load in the electric power distribution system. DER includes renewable energy such as wind and solar, fossil-fuel based generation such as microturbines, small gas turbine units and distributed energy storage. In this paper, a novel methodology is developed that ranks utility feeders for implementation of DER systems. This performance index is based on peak load reduction, increased system capacity, load-generation correlation, and feeder load growth. This is based on a statistical measure that quantifies the relationship between loads and the stochastic nature of renewable resources. This allows the utility to gain insight into improved benefits from non-dispatchable renewable resources such as solar and wind technologies as well as dispatchable DER technologies.
Keywords :
distributed power generation; power system interconnection; renewable energy sources; statistical analysis; stochastic processes; dispatchable DER technology; distributed energy resource; distribution feeders; electric power distribution system; feeder load growth; load-generation correlation; nondispatchable renewable energy resource; power system capacity; power system interconnection; statistical measurement; stochastic nature; Acceleration; Costs; Density estimation robust algorithm; Energy resources; Government; Portfolios; Power system interconnection; Power transmission; Renewable energy resources; Wind energy generation; Distributed Energy Resources; Distributed Generation; Distributed Storage; Distribution Feeder; Distribution System; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Rural Electric Power Conference, 2009. REPC '09. IEEE
Conference_Location :
Fort Collins, CO
Print_ISBN :
978-1-4244-3420-6
Electronic_ISBN :
978-1-4244-4301-7
Type :
conf
DOI :
10.1109/REPCON.2009.4919419
Filename :
4919419
Link To Document :
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