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, this work presents a bilevel model with mixed-integer variables and reformulate it as a single-level model. This work proposes an exact centralized algorithm and a decentralized heuristic. Computational results show that the heuristic gives small optimality gaps and is much faster than the centralized approach.
|Title of host publication||2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)|
|Number of pages||6|
|Publication status||Published - 11 Nov 2021|