DocumentCode
648131
Title
Stochastic short-term incentive-based demand response scheduling of load-serving entities
Author
Fotouhi Ghazvini, Mohammad Ali ; Faria, Pedro ; Morais, H. ; Vale, Zita
Author_Institution
GECAD, IPP - Polytech. of Porto, Porto, Portugal
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
In competitive electricity markets it is necessary for a profit-seeking load-serving entity (LSE) to optimally adjust the financial incentives offering the end users that buy electricity at regulated rates to reduce the consumption during high market prices. The LSE in this model manages the demand response (DR) by offering financial incentives to retail customers, in order to maximize its expected profit and reduce the risk of market power experience. The stochastic formulation is implemented into a test system where a number of loads are supplied through LSEs.
Keywords
incentive schemes; power markets; stochastic programming; LSE; electricity markets; financial incentives; load-serving entities; market power experience; stochastic programming; stochastic short-term incentive based demand response scheduling; Electricity; Electricity supply industry; Load management; Load modeling; Power systems; Real-time systems; Stochastic processes; Day-ahead market; demand response; demandside bidding; load-serving entities; stochastic programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672700
Filename
6672700
Link To Document