Title :
Real-time pricing demand response in operations
Author :
Widergren, S. ; Marinovici, C. ; Berliner, T. ; Graves, A.
Abstract :
Dynamic pricing schemes have been implemented in commercial and industrial application settings, and recently they are getting attention for application to residential customers. Time-of-use and critical-peak-pricing rates are in place in various regions and are being piloted in many more. These programs are proving themselves useful for balancing energy during peak periods; however, real-time (5 minute) pricing signals combined with automation in end-use systems have the potential to deliver even more benefits to operators and consumers. Besides system peak shaving, a real-time pricing system can contribute demand response based on the locational marginal price of electricity, reduce load in response to a generator outage, and respond to local distribution system capacity limiting situations. The US Department of Energy (DOE) is teaming with a mid-west electricity service provider to run a distribution feeder-based retail electricity market that negotiates with residential automation equipment and clears every 5 minutes, thus providing a signal for lowering or raising electric consumption based on operational objectives of economic efficiency and reliability. This paper outlines the capability of the real-time pricing system and the operational scenarios being tested as the system is rolled-out starting in the first half of 2012.
Keywords :
power distribution economics; power markets; pricing; US DOE; US Department of Energy; commercial application setting; critical-peak-pricing rate; distribution feeder-based retail electricity market; dynamic pricing scheme; economic efficiency; electric consumption; end-use systems; energy balancing; generator outage; industrial application setting; local distribution system capacity; locational marginal electricity price; mid-west electricity service provider; real-time pricing demand response; reduce load; residential automation equipment; residential customers; system peak shaving; time-of-use rate; Educational institutions; Electricity; Load management; Pricing; Real-time systems; Smart grids; agent-based system; dynamic pricing; market simulation; power system modeling;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345195