Real-Time Power Balancing Via Decentralized Coordinated Home Energy Scheduling

TitleReal-Time Power Balancing Via Decentralized Coordinated Home Energy Scheduling
Publication TypeJournal Article
Year of Publication2013
AuthorsTsung-Hui Chang, Mahnoosh Alizadeh, Anna Scaglione
JournalIEEE Transactions on Smart Grid
Pagination1490 - 1504
Date Published09/2013
KeywordsCERTS, deferrable loads, demand response, load management, optimization, RM11-007

It is anticipated that an uncoordinated operation of individual home energy management (HEM) systems in a neighborhood would have a rebound effect on the aggregate demand profile. To address this issue, this paper proposes a coordinated home energy management (CoHEM) architecture in which distributed HEM units collaborate with each other in order to keep the demand and supply balanced in their neighborhood. Assuming the energy requests by customers are random in time, we formulate the proposed CoHEM design as a multi-stage stochastic optimization problem. We propose novel models to describe the deferrable appliance load [e.g., plug-in (hybrid) electric vehicles (PHEV)], and apply approximation and decomposition techniques to handle the considered design problem in a decentralized fashion. The developed decentralized CoHEM algorithm allow the customers to locally compute their scheduling solutions using domestic user information and with message exchange between their neighbors only. Extensive simulation results demonstrate that the proposed CoHEM architecture can effectively improve real-time power balancing. Extensions to joint power procurement and real-time CoHEM scheduling are also presented.

Short TitleIEEE Trans. Smart Grid