2018
DOI: 10.1007/s12667-018-0271-2
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A novel incentive-based demand response model for Cournot competition in electricity markets

Abstract: This paper presents an analysis of competition between generators when incentive-based demand response is employed in an electricity market. Thermal and hydropower generation are considered in the model. A smooth inverse demand function is designed using a sigmoid and two linear functions for modeling the consumer preferences under incentive-based demand response program. Generators compete to sell energy bilaterally to consumers and system operator provides transmission and arbitrage services. The profit of e… Show more

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Cited by 27 publications
(8 citation statements)
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“…How to facilitate the engagement of consumers into the reliability improvement remained to be considered. Similarly, Zhang et al [104] modelled the local energy trading as a non-cooperative Cournot game to stimulate the regional energy balance and promote the penetration of RESs, while the transmission and intertemporal constraints could be considered to improve the accuracy of the proposed model.…”
Section: Research and Implementationsmentioning
confidence: 99%
“…How to facilitate the engagement of consumers into the reliability improvement remained to be considered. Similarly, Zhang et al [104] modelled the local energy trading as a non-cooperative Cournot game to stimulate the regional energy balance and promote the penetration of RESs, while the transmission and intertemporal constraints could be considered to improve the accuracy of the proposed model.…”
Section: Research and Implementationsmentioning
confidence: 99%
“…Extensive investigations have been pursued in demand forecasting [4], but also on the variation of demand with prices, encapsulated by the concept of demand-price elasticity [5]. This approach however requires strong assumptions on user behavior and utility function as developed in [6], [7]. User-side multi-objective approaches encapsulate total load satisfaction or dis-satisfaction and cost minimization as two conflicting objectives [8].…”
Section: Parameters βmentioning
confidence: 99%
“…Thereafter, users can spontaneously change their electricity consumption habits in accordance with the electricity price or incentive measures formulated by the operator to obtain the greatest economic benefits (Allameh et al, 2019). Therefore, DR offers efficient solutions for power market by means of an incentive-based policy in which participating users receive incentives in the form of direct compensation and discount offers in general (Rezaee Jordehi, 2019;Vuelvas and Ruiz, 2019). Furthermore, the implementation of DR increases the efficiency of power system operation and reduces the number of blackouts.…”
Section: Introductionmentioning
confidence: 99%