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Tchuisseu EBT, Gomila D, Brunner D, et al. Effects of dynamic-demand-control appliances on the power grid frequency. Phys Rev E. 2017;96(2):022302doi: 10.1103/PhysRevE.96.022302.
Tchuisseu, E. B. T., Gomila, D., Brunner, D., & Colet, P. (2017). Effects of dynamic-demand-control appliances on the power grid frequency. Physical review. E, 96(2), 022302. https://doi.org/10.1103/PhysRevE.96.022302
Tchuisseu, E B Tchawou, et al. "Effects of dynamic-demand-control appliances on the power grid frequency." Physical review. E vol. 96,2 (2017): 022302. doi: https://doi.org/10.1103/PhysRevE.96.022302
Tchuisseu EBT, Gomila D, Brunner D, Colet P. Effects of dynamic-demand-control appliances on the power grid frequency. Phys Rev E. 2017 Aug;96(2):022302. doi: 10.1103/PhysRevE.96.022302. Epub 2017 Aug 02. PMID: 28950641.
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Phys Rev E. 2017 Aug;96(2):022302. doi: 10.1103/PhysRevE.96.022302. Epub 2017 Aug 02.

Effects of dynamic-demand-control appliances on the power grid frequency.

Physical review. E

E B Tchawou Tchuisseu, D Gomila, D Brunner, P Colet

Affiliations

  1. Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat Illes Balears, E-07122 Palma de Mallorca, Spain.
  2. Département Optique Institut FEMTO-ST UMR 6174, Université Bourgogne Franche-Comté CNRS, 25030 Besancon cedex, France.

PMID: 28950641 DOI: 10.1103/PhysRevE.96.022302

Abstract

Power grid frequency control is a demanding task requiring expensive idle power plants to adapt the supply to the fluctuating demand. An alternative approach is controlling the demand side in such a way that certain appliances modify their operation to adapt to the power availability. This is especially important to achieve a high penetration of renewable energy sources. A number of methods to manage the demand side have been proposed. In this work we focus on dynamic demand control (DDC), where smart appliances can delay their switchings depending on the frequency of the system. We introduce a simple model to study the effects of DDC on the frequency of the power grid. The model includes the power plant equations, a stochastic model for the demand that reproduces, adjusting a single parameter, the statistical properties of frequency fluctuations measured experimentally, and a generic DDC protocol. We find that DDC can reduce small and medium-size fluctuations but it can also increase the probability of observing large frequency peaks due to the necessity of recovering pending task. We also conclude that a deployment of DDC around 30-40% already allows a significant reduction of the fluctuations while keeping the number of pending tasks low.

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