skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Evaluating the Impacts of Real-Time Pricing on the Cost and Value of Wind Generation

Journal Article · · IEEE Transactions on Power Systems
 [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)

One of the costs associated with integrating wind generation into a power system is the cost of redispatching the system in real-time due to day-ahead wind resource forecast errors. One possible way of reducing these redispatch costs is to introduce demand response in the form of real-time pricing (RTP), which could allow electricity demand to respond to actual real-time wind resource availability using price signals. A day-ahead unit commitment model with day-ahead wind forecasts and a real-time dispatch model with actual wind resource availability is used to estimate system operations in a high wind penetration scenario. System operations are compared to a perfect foresight benchmark, in which actual wind resource availability is known day-ahead. The results show that wind integration costs with fixed demands can be high, both due to real-time redispatch costs and lost load. It is demonstrated that introducing RTP can reduce redispatch costs and eliminate loss of load events. Finally, social surplus with wind generation and RTP is compared to a system with neither and the results demonstrate that introducing wind and RTP into a market can result in superadditive surplus gains.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1353222
Journal Information:
IEEE Transactions on Power Systems, Vol. 25, Issue 2; ISSN 0885-8950
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 91 works
Citation information provided by
Web of Science

Cited By (5)

Storage and demand-side options for integrating wind power: Demand side and storage options for integrating wind power journal October 2013
A demand side management control strategy using Whale optimization algorithm journal July 2019
Aggregated wind power and flexible load offering strategy journal January 2011
Two-stage Combinatory Planning Method for Efficient Wind Power Integration in Smart Distribution Systems Considering Uncertainties journal October 2014
The Role of Smart Meters in Enabling Real-Time Energy Services for Households: The Italian Case journal February 2017