Distributed Multi-Building Coordination for Demand Response

被引:3
作者
Su, Junyan [1 ]
Jiang, Yuning [1 ]
Bitlislioglu, Altug [2 ]
Jones, Colin N. [2 ]
Houska, Boris [1 ]
机构
[1] Shanghai Tech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
[2] Ecole Polytech Fed Lausanne EPFL, Automat Control Lab, Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
Distributed control; Smart power applications; Predictive control; Structural optimization; PREDICTIVE CONTROL; OPTIMIZATION;
D O I
10.1016/j.ifacol.2020.12.1655
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This 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.
引用
收藏
页码:17113 / 17118
页数:6
相关论文
共 25 条
[21]   Dynamic Dual Decomposition for Distributed Control [J].
Rantzer, Anders .
2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9, 2009, :884-888
[22]  
Rawlings J. B., 2017, Model Predictive Control: Theory, Computation, and Design, V2
[23]  
Richter S, 2011, IEEE DECIS CONTR P, P5223, DOI 10.1109/CDC.2011.6160931
[24]  
Ruiz D., 2001, SCALING ALGORITHM EQ
[25]   Demand response and smart grids-A survey [J].
Siano, Pierluigi .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 30 :461-478