Su, JunyanJiang, YuningBitlislioglu, AltugJones, Colin N.Houska, Boris2021-07-032021-07-032021-07-032020-01-0110.1016/j.ifacol.2020.12.1655https://infoscience.epfl.ch/handle/20.500.14299/179615WOS:000652593600619This paper presents a distributed optimization algorithm tailored for solving optimal control problems arising in multi-building coordination. The buildings coordinated by a grid operator, join a demand response program to balance the voltage surge by using an energy cost defined criterion. In order to model the hierarchical structure of the building network, we formulate a distributed convex optimization problem with separable objectives and coupled affine equality constraints. A variant of the Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN) method for solving the considered class of problems is then presented along with a convergence guarantee. To illustrate the effectiveness of the proposed method, we compare it to the Alternating Direction Method of Multipliers (ADMM) by running both an ALADIN and an ADMM based model predictive controller on a benchmark case study. Copyright (C) 2020 The Authors.Automation & Control Systemsdistributed controlsmart power applicationspredictive controlstructural optimizationoptimizationtext::conference output::conference proceedings::conference paper