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

Journal Article · · Applied Energy
 [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)

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.

Research Organization:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1347441
Alternate ID(s):
OSTI ID: 1397065
Journal Information:
Applied Energy, Vol. 189, Issue C; ISSN 0306-2619
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 13 works
Citation information provided by
Web of Science

References (17)

Stochastic–multiobjective market equilibrium analysis of a demand response program in energy market under uncertainty journal November 2016
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
Contract networks for electric power transmission journal September 1992
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
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
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
Evaluating the Magnitude and Duration of Cold Load Pick-up on Residential Distribution Feeders Using Multi-State Load Models journal September 2016
Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies journal December 2015
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
Provision of secondary frequency control via demand response activation on thermostatically controlled loads: Solutions and experiences from Denmark journal July 2016
Real time voltage control using emergency demand response in distribution system by integrating advanced metering infrastructure journal May 2014

Cited By (1)

Simulating the value of electric-vehicle–grid integration using a behaviourally realistic model journal February 2018