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Title: Evaluating the impacts of real-time pricing on the usage of wind generation

Abstract

One of the impediments to large-scale use of wind generation within power systems is its nondispatchability and variable and uncertain real-time availability. Operating constraints on conventional generators such as minimum generation points, forbidden zones, and ramping limits as well as system constraints such as power flow limits and ancillary service requirements may force a system operator to curtail wind generation in order to ensure feasibility. Furthermore, the pattern of wind availability and electricity demand may not allow wind generation to be fully utilized in all hours. One solution to these issues, which could reduce these inflexibilities, is the use of real-time pricing (RTP) tariffs which can both smooth-out the diurnal load pattern in order to reduce the impact of binding unit operating and system constraints on wind utilization, and allow demand to increase in response to the availability of costless wind generation. As a result, we use and analyze a detailed unit commitment model of the Texas power system with different estimates of demand elasticities to demonstrate the potential increases in wind generation from implementing RTP.

Authors:
 [1];  [2]
  1. The Ohio State Univ., Columbus, OH (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1353221
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Volume: 24; Journal Issue: 2; Journal ID: ISSN 0885-8950
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; power system economics; wind power generation; variable renewable energy resources; real-time pricing; unit commitment

Citation Formats

Sioshansi, Ramteen, and Short, Walter. Evaluating the impacts of real-time pricing on the usage of wind generation. United States: N. p., 2009. Web. doi:10.1109/TPWRS.2008.2012184.
Sioshansi, Ramteen, & Short, Walter. Evaluating the impacts of real-time pricing on the usage of wind generation. United States. doi:10.1109/TPWRS.2008.2012184.
Sioshansi, Ramteen, and Short, Walter. Fri . "Evaluating the impacts of real-time pricing on the usage of wind generation". United States. doi:10.1109/TPWRS.2008.2012184. https://www.osti.gov/servlets/purl/1353221.
@article{osti_1353221,
title = {Evaluating the impacts of real-time pricing on the usage of wind generation},
author = {Sioshansi, Ramteen and Short, Walter},
abstractNote = {One of the impediments to large-scale use of wind generation within power systems is its nondispatchability and variable and uncertain real-time availability. Operating constraints on conventional generators such as minimum generation points, forbidden zones, and ramping limits as well as system constraints such as power flow limits and ancillary service requirements may force a system operator to curtail wind generation in order to ensure feasibility. Furthermore, the pattern of wind availability and electricity demand may not allow wind generation to be fully utilized in all hours. One solution to these issues, which could reduce these inflexibilities, is the use of real-time pricing (RTP) tariffs which can both smooth-out the diurnal load pattern in order to reduce the impact of binding unit operating and system constraints on wind utilization, and allow demand to increase in response to the availability of costless wind generation. As a result, we use and analyze a detailed unit commitment model of the Texas power system with different estimates of demand elasticities to demonstrate the potential increases in wind generation from implementing RTP.},
doi = {10.1109/TPWRS.2008.2012184},
journal = {IEEE Transactions on Power Systems},
number = 2,
volume = 24,
place = {United States},
year = {2009},
month = {2}
}

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