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Encyclopedia of Systems and Control pp 1–5Cite as

Demand Response: Coordination of Flexible Electric Loads

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Abstract

Demand-responsive electric loads respond to prices or other signals sent by the electric utility or power system operator by decreasing consumption (shedding) and/or shifting load in time. Demand response provides a variety of technical and economic benefits to the grid, usually causing minimal inconvenience to consumers. Traditionally, demand response has been used to decrease system-wide peak consumption. In that case, demand response events are called rarely and seek to achieve large changes in load. Today, demand response is also used to provide a variety of other services to power systems. In some cases, loads are expected to respond continuously while still meeting the needs of consumers. In this article, we describe the types of loads well-suited to demand response and their response methods, typical demand response program designs and control methods, and emerging applications of demand response.

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Authors and Affiliations

  1. Department of Electrical Engineering & Computer Science, University of Michigan, Ann Arbor, MI, USA

    Johanna L. Mathieu

Authors
  1. Johanna L. Mathieu
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Correspondence to Johanna L. Mathieu .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, MN, USA

    Tariq Samad

Section Editor information

  1. Electrical & Computer Systems Engineering, Rensselaer Polytechnic Institute, JEC 7012, 110 Eighth Street, 12180-3590, Troy, NY, USA

    Joe Chow

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Mathieu, J.L. (2020). Demand Response: Coordination of Flexible Electric Loads. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_100128-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_100128-1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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