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A Framework for Peak Shaving Through the Coordination of Smart Homes

Michael David De Souza Dutra (michaeldavidsd***at***gmail.com)
Miguel F. Anjos (miguel-f.anjos***at***polymtl.ca)
Sébastien Le Digabel (sebastien.le-digabel***at***polymtl.ca )

Abstract: In demand--response programs, aggregators balance the needs of generation companies and end-users. This work proposes a two-phase framework that shaves the aggregated peak loads while maintaining the desired comfort level for users. In the first phase, the users determine their planned consumption. For the second phase, we develop a bilevel model with mixed-integer variables and reformulate it as a single-level model. We propose an exact centralized algorithm and a decentralized heuristic. Our computational results show that the heuristic gives small optimality gaps and is much faster than the centralized approach.


Category 1: Applications -- Science and Engineering (Smart Grids )

Category 2: Integer Programming ((Mixed) Integer Linear Programming )

Category 3: Applications -- OR and Management Sciences (Scheduling )


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Entry Submitted: 02/25/2019
Entry Accepted: 02/25/2019
Entry Last Modified: 03/28/2019

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