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Title: Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach

Abstract

This study describes a new approach for solving the multi-area electricity resource allocation problem when considering both intermittent renewables and demand response. The method determines the hourly inter-area export/import set that maximizes the interconnection (global) surplus satisfying transmission, generation and load constraints. The optimal inter-area transfer set effectively makes the electricity price uniform over the interconnection apart from constrained areas, which overall increases the consumer surplus more than it decreases the producer surplus. The method is computationally efficient and suitable for use in simulations that depend on optimal scheduling models. The method is demonstrated on a system that represents North America Western Interconnection for the planning year of 2024. Simulation results indicate that effective use of interties reduces the system operation cost substantially. Excluding demand response, both the unconstrained and the constrained scheduling solutions decrease the global production cost (and equivalently increase the global economic surplus) by 12.30B and 10.67B per year, respectively, when compared to the standalone case in which each control area relies only on its local supply resources. This cost saving is equal to 25% and 22% of the annual production cost. Including 5% demand response, the constrained solution decreases the annual production cost by 10.70B, whilemore » increases the annual surplus by 9.32B in comparison to the standalone case.« less

Authors:
 [1];  [2];  [3];  [1]
  1. Univ. of Victoria, Victoria, BC (Canada)
  2. Univ. of Victoria, Victoria, BC (Canada); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  3. Univ. of Victoria, Victoria, BC (Canada); King Abdulaziz Univ., Jeddah (Saudi Arabia)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1347441
Alternate Identifier(s):
OSTI ID: 1397065
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
Applied Energy
Additional Journal Information:
Journal Volume: 189; Journal Issue: C; Journal ID: ISSN 0306-2619
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; demand response; energy market; renewable intermittency; resource allocation; western interconnection

Citation Formats

Behboodi, Sahand, Chassin, David P., Djilali, Ned, and Crawford, Curran. Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach. United States: N. p., 2016. Web. https://doi.org/10.1016/j.apenergy.2016.12.052.
Behboodi, Sahand, Chassin, David P., Djilali, Ned, & Crawford, Curran. Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach. United States. https://doi.org/10.1016/j.apenergy.2016.12.052
Behboodi, Sahand, Chassin, David P., Djilali, Ned, and Crawford, Curran. Fri . "Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach". United States. https://doi.org/10.1016/j.apenergy.2016.12.052. https://www.osti.gov/servlets/purl/1347441.
@article{osti_1347441,
title = {Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach},
author = {Behboodi, Sahand and Chassin, David P. and Djilali, Ned and Crawford, Curran},
abstractNote = {This study describes a new approach for solving the multi-area electricity resource allocation problem when considering both intermittent renewables and demand response. The method determines the hourly inter-area export/import set that maximizes the interconnection (global) surplus satisfying transmission, generation and load constraints. The optimal inter-area transfer set effectively makes the electricity price uniform over the interconnection apart from constrained areas, which overall increases the consumer surplus more than it decreases the producer surplus. The method is computationally efficient and suitable for use in simulations that depend on optimal scheduling models. The method is demonstrated on a system that represents North America Western Interconnection for the planning year of 2024. Simulation results indicate that effective use of interties reduces the system operation cost substantially. Excluding demand response, both the unconstrained and the constrained scheduling solutions decrease the global production cost (and equivalently increase the global economic surplus) by 12.30B and 10.67B per year, respectively, when compared to the standalone case in which each control area relies only on its local supply resources. This cost saving is equal to 25% and 22% of the annual production cost. Including 5% demand response, the constrained solution decreases the annual production cost by 10.70B, while increases the annual surplus by 9.32B in comparison to the standalone case.},
doi = {10.1016/j.apenergy.2016.12.052},
journal = {Applied Energy},
number = C,
volume = 189,
place = {United States},
year = {2016},
month = {12}
}

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Cited by: 6 works
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Works referenced in this record:

Strategy-making for a proactive distribution company in the real-time market with demand response
journal, November 2016


Modeling framework and validation of a smart grid and demand response system for wind power integration
journal, January 2014


Future cost-competitive electricity systems and their impact on US CO2 emissions
journal, January 2016

  • MacDonald, Alexander E.; Clack, Christopher T. M.; Alexander, Anneliese
  • Nature Climate Change, Vol. 6, Issue 5
  • DOI: 10.1038/nclimate2921

Contract networks for electric power transmission
journal, September 1992

  • Hogan, William W.
  • Journal of Regulatory Economics, Vol. 4, Issue 3
  • DOI: 10.1007/BF00133621

Quantifying the Effect of Demand Response on Electricity Markets
journal, August 2009


Demand Response Exchange in the Stochastic Day-Ahead Scheduling With Variable Renewable Generation
journal, April 2015

  • Wu, Hongyu; Shahidehpour, Mohammad; Alabdulwahab, Ahmed
  • IEEE Transactions on Sustainable Energy, Vol. 6, Issue 2
  • DOI: 10.1109/TSTE.2015.2390639

Assessing the benefits of residential demand response in a real time distribution energy market
journal, January 2016


Smart microgrid operational planning considering multiple demand response programs
journal, January 2014

  • Zakariazadeh, Alireza; Jadid, Shahram
  • Journal of Renewable and Sustainable Energy, Vol. 6, Issue 1
  • DOI: 10.1063/1.4865576

Robust day-ahead scheduling of smart distribution networks considering demand response programs
journal, September 2016


AEP Ohio gridSMART Demonstration Project Real-Time Pricing Demonstration Analysis
report, February 2014

  • Widergren, Steven E.; Subbarao, Krishnappa; Fuller, Jason C.
  • PNNL-23192
  • DOI: 10.2172/1132690

Evaluating the Magnitude and Duration of Cold Load Pick-up on Residential Distribution Feeders Using Multi-State Load Models
journal, September 2016

  • Schneider, Kevin P.; Sortomme, Eric; Venkata, S. S.
  • IEEE Transactions on Power Systems, Vol. 31, Issue 5
  • DOI: 10.1109/TPWRS.2015.2494882

Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies
journal, December 2015

  • Chassin, David P.; Behboodi, Sahand; Crawford, Curran
  • Engineering, Vol. 1, Issue 4
  • DOI: 10.15302/J-ENG-2015109

Renewable resources portfolio optimization in the presence of demand response
journal, January 2016


Aggregate modeling of fast-acting demand response and control under real-time pricing
journal, November 2016


Real time voltage control using emergency demand response in distribution system by integrating advanced metering infrastructure
journal, May 2014

  • Homaee, Omid; Zakariazadeh, Alireza; Jadid, Shahram
  • Journal of Renewable and Sustainable Energy, Vol. 6, Issue 3
  • DOI: 10.1063/1.4885177

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