DocumentCode
665270
Title
Smart heating system control strategy to enhance comfort and increase renewable energy penetration
Author
Hakimi, S.M. ; Moghaddas-Tafreshi, S.M. ; Alamuti, Mohsen Mohammadi
Author_Institution
Fac. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran
fYear
2013
fDate
14-14 Nov. 2013
Firstpage
191
Lastpage
196
Abstract
Heating systems have played an important role in building energy and comfort management. This paper set forth a novel intelligent residential heating system controller that has smart grid functionality. In the smart grid, demand response systems now have the ability to not only engage commercial and industrial customers, but also the individual residential customers. Additionally, the ability exists to have automated control systems which operate on an availability of renewable energy and welfare of customers. In this paper one possible implementation of an active controller will be examined. An active controller operates by responding to a combination of internal set points and external signals from local control entity. The optimization objective of the heating systems management is to minimize the cost of smart microgrid, minimize the size of smart microgrid units, minimize energy import from distribution grid and maximize reliability of the smart microgrid. This means that, smart heating system and renewable energy can work well together and their individual benefits can be added together when used in combination. Simulation studies are used to demonstrate the capability on the proposed heating system controller on the planning of a smart microgrid system.
Keywords
distributed power generation; intelligent control; smart power grids; space heating; active controller; automated control systems; demand response systems; distribution grid; heating systems management; intelligent residential heating system controller; renewable energy penetration; smart heating system control strategy; smart microgrid; Computational modeling; Data models; Gaussian processes; Predictive models; Standards; Training; Wind power generation; Active controller; heating system; renewable energy; smart microgrid;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Energy Systems (IWIES), 2013 IEEE International Workshop on
Conference_Location
Vienna
Type
conf
DOI
10.1109/IWIES.2013.6698584
Filename
6698584
Link To Document