Title :
On incentive compatibility of deadline differentiated pricing for deferrable demand
Author :
Bitar, Eilyan ; Yunjian Xu
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
A large fraction of the total electric load is comprised of end-use devices whose demand is inherently deferrable in time. While this latent flexibility in demand can be leveraged to absorb variability in supply from renewable generation, the challenge lies in designing incentives to induce the desired response in demand. In the following, we study a novel forward market, where consumers consent to deferred service of pre-specified loads in exchange for a reduced per-unit price for energy. The longer a customer is willing to defer, the larger the reduction in price. The proposed deadline-differentiated forward contract provides a guarantee on the aggregate quantity to be delivered by a consumer-specified deadline. Under the earliest-deadline-first (EDF) scheduling policy, which is shown to be optimal for the supplier, we explicitly characterize differentiated prices yielding an efficient competitive equilibrium between supply and demand. We also show that such prices are incentive compatible (IC) in that every consumer would like to reveal her true deadline type to the supplier, provided that the other consumers are truth-telling.
Keywords :
contracts; incentive schemes; power generation economics; power generation scheduling; power markets; pricing; supply and demand; EDF; IC; competitive equilibrium; consumer-specified deadline; deadline differentiated pricing; deadline-differentiated forward contract; deferrable demand; earliest-deadline-first scheduling policy; end-use devices; forward market; incentive compatibility; reduced per-unit price; renewable generation; supply and demand; total electric load; Aggregates; Optimal scheduling; Power systems; Pricing; Quality of service; Reliability; Resource management; Deadline Scheduling; Demand Response; Incentive Compatibility; Pricing Mechanisms; Renewable Energy;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760775