Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters

Adham I. Tammam (), Miguel F. Anjos () and Michel Gendreau ()
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Adham I. Tammam: Polytechnique Montreal
Miguel F. Anjos: Polytechnique Montreal
Michel Gendreau: Polytechnique Montreal

Annals of Operations Research, 2020, vol. 292, issue 2, No 9, 753-770

Abstract: Abstract With the increasing presence of renewable energy sources in the electrical power grid, demand response via thermostatic appliances such as electric water heaters is a promising way to compensate for the significant variability in renewable power generation. We propose a multistage stochastic optimization model that computes the optimal day-ahead target profile of the mean thermal energy contained in a large population of heaters, given various possible wind power production and uncontrollable load scenarios. This optimal profile is calculated to make the variable net demand as even as possible.

Keywords: Demand response; Electric water heaters; Stochastic optimization; Renewable power generation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10479-020-03580-1

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