Title
Optimal Demand Response Aggregation in Wholesale Electricity Markets
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.
Year
DOI
Venue
2013
10.1109/TSG.2013.2257894
Smart Grid, IEEE Transactions
Keywords
Field
DocType
optimisation,power markets,smart power grids,DR aggregation,DR contracts,day-ahead energy markets,economic options,energy storage systems,load curtailment,load shifting,market participants,market tools,modeling strategies,onsite generation,optimal demand response aggregation,price-based self-scheduling optimization model,small and medium-sized customers,smart grid technologies,wholesale electricity markets,DR aggregator,energy market,hourly demand response,load reduction,price-based unit commitment
Energy storage,Economics,Smart grid,News aggregator,Load shifting,Electricity,Microeconomics,Demand response,Control engineering,Schedule,Environmental economics
Journal
Volume
Issue
ISSN
4
4
1949-3053
Citations 
PageRank 
References 
18
1.12
3
Authors
3
Name
Order
Citations
PageRank
Masood Parvania13113.72
Mahmud Fotuhi-Firuzabad216233.10
Mohammad Shahidehpour335575.28