DocumentCode
182674
Title
Energy and network models for the intelligent control of distributed systems
Author
Cipriani, G. ; Di Dio, V. ; Ferraris, L. ; La Cascia, D. ; Miceli, Rosario ; Poskovic, E. ; Sauba, Ganesh
Author_Institution
Dept. of Energy, Univ. of Palermo, Palermo, Italy
fYear
2014
fDate
21-24 Sept. 2014
Firstpage
1306
Lastpage
1311
Abstract
This paper presents detailed energy and network models for the intelligent control of a distributed system which also comprises power generation from renewables. The two models provide interactive energy monitoring, intelligent control and power demand balancing at home, block and neighbor level. Particularly, it is here described how the energy model works and also details of how it has been validated are here given. Moreover, it is shown how the energy model simulation results are transferred to the network simulation software SynerGEE, set up by GL Noble Denton Industrial Services Ltd (UK), in order to fully perform network simulations.
Keywords
intelligent control; power distribution control; power engineering computing; power system measurement; GL Noble Denton Industrial Services Ltd; SynerGEE; distributed systems; energy model simulation; intelligent control; interactive energy monitoring; network simulation software; power demand balancing; Buildings; Data models; Electricity; Home appliances; Power electronics; Smart grids; Software; energy distribution systems; energy models; network models;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
Conference_Location
Antalya
Type
conf
DOI
10.1109/EPEPEMC.2014.6980693
Filename
6980693
Link To Document