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 :
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