NDLI: Optimal Demand Response Aggregation in Wholesale Electricity Markets

Content Provider	IEEE Xplore Digital Library
Author	Parvania, M. Fotuhi-Firuzabad, M. Shahidehpour, M.
Copyright Year	2010
Abstract	Advancements in smart grid technologies have made it possible to apply various options and strategies for the optimization of demand response (DR) in electricity markets. DR aggregation would accumulate potential DR schedules and constraints offered by small- and medium-sized customers for the participation in wholesale electricity markets. Despite various advantages offered by the hourly DR in electricity markets, practical market tools that can optimize the economic options available to DR aggregators and market participants are not readily attainable. In this context, this paper presents an optimization framework for the DR aggregation in wholesale electricity markets. The proposed study focuses on the modeling strategies for energy markets. In the proposed model, DR aggregators offer customers various contracts for load curtailment, load shifting, utilization of onsite generation, and energy storage systems as possible strategies for hourly load reductions. The aggregation of DR contracts is considered in the proposed price-based self-scheduling optimization model to determine optimal DR schedules for participants in day-ahead energy markets. The proposed model is examined on a sample DR aggregator and the numerical results are discussed in the paper.
Starting Page	1957
Ending Page	1965
Page Count	9
File Size	1144241
File Format	PDF
ISSN	19493053
Volume Number	4
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Contracts Load modeling Electricity supply industry ISO Load management Fuels Schedules price-based unit commitment DR aggregator energy market hourly demand response load reduction
Content Type	Text
Resource Type	Article
Subject	Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

SCUC With Hourly Demand Response Considering Intertemporal Load Characteristics

Optimized Bidding of a EV Aggregation Agent in the Electricity Market

Comparative Hourly Scheduling of Centralized and Distributed Storage in Day-Ahead Markets

ISO's Optimal Strategies for Scheduling the Hourly Demand Response in Day-Ahead Markets

Equilibrium in Wholesale Energy Markets: Perturbation Analysis in the Presence of Renewables

Modeling electricity wholesale markets with model predictive and profit maximizing agents

Coupon Incentive-Based Demand Response: Theory and Case Study

Risk-Constrained Profit Maximization for Microgrid Aggregators With Demand Response

Retailer's risk-aware trading framework with demand response aggregators in short-term electricity markets

Optimal Demand Response Aggregation in Wholesale Electricity Markets

Similar Documents

SCUC With Hourly Demand Response Considering Intertemporal Load Characteristics

Optimized Bidding of a EV Aggregation Agent in the Electricity Market

Comparative Hourly Scheduling of Centralized and Distributed Storage in Day-Ahead Markets

ISO's Optimal Strategies for Scheduling the Hourly Demand Response in Day-Ahead Markets

Equilibrium in Wholesale Energy Markets: Perturbation Analysis in the Presence of Renewables

Modeling electricity wholesale markets with model predictive and profit maximizing agents

Coupon Incentive-Based Demand Response: Theory and Case Study

Risk-Constrained Profit Maximization for Microgrid Aggregators With Demand Response

Retailer's risk-aware trading framework with demand response aggregators in short-term electricity markets

Optimal Demand Response Aggregation in Wholesale Electricity Markets