عنوان انگلیسی مقاله:
Distributed optimization for structured programs and its application to energy management in a building district
ترجمه فارسی عنوان مقاله:
توزیع بهینه برای برنامه های ساخت یافته و کاربرد آن در مدیریت انرژی در یک منطقه ساختمانی
Sciencedirect - Elsevier - Journal of Process Control, 89 (2020) 11-21. doi:10.1016/j.jprocont.2020.03.005
Fabio Belluschi a , Alessandro Falsone a , ∗, Daniele Ioli a , Kostas Margellos b , Simone Garatti a , Maria Prandini a
This paper deals with structured multi-agent optimization problems that involve coupled local and global decision variables. We propose an iterative distributed algorithm that explicitly accounts for this struc- ture, and requires the agents to communicate only their tentative solutions for the global variables throughout iterations. Our approach extends to structured multi-agent optimization a proximal-based distributed methodology that has recently appeared in the literature. Privacy of local information is pre- served and communication effort is reduced with respect to alternative distributed solutions where local and global optimization variables are grouped together and treated as a single decision vector. Multi- agent optimization problems with the considered structural properties appear in various contexts. In this paper, we apply our approach to energy management in a district where multiple buildings can commu- nicate over a possibly time-varying network and aim at optimizing the use of shared and local resources. We illustrate the efficacy of the resulting distributed energy management algorithm by means of a de- tailed simulation study on a cooling problem.
Keywords: Distributed optimization | Proximal minimization | Energy management | Building control