• DocumentCode
    3161671
  • Title

    Deadline differentiated pricing of deferrable electric power service

  • Author

    Bitar, Eilyan ; Low, Steven

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    4991
  • Lastpage
    4997
  • Abstract
    As the penetration of wind and solar energy into the electric grid continues to grow, there will be an increasing need to evolve demand-side solutions capable of compensating the inherent variability in power supply from such renewable resources. Today, demand is largely treated as inelastic. However, the power requirements of many commercial and residential loads are such that a fraction of power demand at any given moment is inherently deferrable in time subject to a deadline constraint on the total energy supplied. Examples include thermal systems such as refrigerators, water heaters, HVAC systems, data centers, and, assuming mass adoption of plug-in electric vehicles, batteries. In this paper, we discuss some limitations of dynamic pricing mechanisms (e.g., real-time pricing) as a means of inducing demand response and suggest a novel forward contracting mechanism for deadline-differentiated deferrable energy contracts to alleviate some of these difficulties. Essentially, consumers who consent to deferral of their consumption in time - subject to a pre-specified deadline - will receive a discounted per-unit price for said energy. In this way, the supplier is capable of extracting flexibility in the delivery of energy to participating deferrable loads, while consumers receive a discount on energy with an associated deadline guarantee on delivery. The supply side is modeled as random to capture variability in renewable power supply. Using a general model for consumer preferences to capture the effect of consumption deferral on utility, we prove the existence of a competitive equilibrium and provide a characterization of deadline-differentiated prices yielding such an equilibrium. We also discuss provably optimal online scheduling policies to dynamically allocate the variable supply to a bundle of deadline-differentiated energy tasks.
  • Keywords
    contracts; load forecasting; power generation economics; power generation scheduling; power grids; solar power; wind power; HVAC systems; commercial loads; consumer preferences; data centers; deadline constraint; deadline differentiated pricing; deadline-differentiated deferrable energy contracts; deadline-differentiated energy tasks; deferrable electric power service; demand response; demand-side solutions; discounted per-unit price; dynamic pricing mechanisms; electric grid; forward contracting mechanism; optimal online scheduling policies; plug-in electric vehicles; power demand; power requirements; real-time pricing; refrigerators; renewable power supply; renewable resources; residential loads; solar energy; thermal systems; variable supply allocation; water heaters; wind energy; Contracts; Load management; Optimal scheduling; Pricing; Real-time systems; Renewable energy resources; Vectors; Deadline Scheduling; Demand Response; Pricing Mechanisms; Renewable Energy; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6425944
  • Filename
    6425944