DocumentCode
132288
Title
Scalability in smart grid data flow architectures
Author
Cameron, Calum D. ; Taylor, Phil ; Patsios, C.
Author_Institution
Dept. of Electron. & Electr. Eng., Newcastle Univ., Newcastle upon Tyne, UK
fYear
2014
fDate
2-5 Sept. 2014
Firstpage
1
Lastpage
6
Abstract
The increasing complexity of power networks calls for new decentralised solutions for electrical power system control. Smart grid techniques and technologies are seen as a potential solution, therefore the design of effective distributed data flow architectures are of growing importance. This paper utilises Multi Agent Systems (MAS) to investigate and demonstrate the significance of appropriately designed data flow architectures in performing effective decentralised power system control. Through examining the impact of an increasing control population on control accuracy, communication demand, responsiveness and robustness in the presence of continuous anomalous data; the paper illustrates that data flow architecture is a key design consideration.
Keywords
decentralised control; multi-agent systems; power distribution control; smart power grids; MAS; communication demand; decentralised power system control; distributed data flow architectures; electrical power system control; multi agent systems; power network complexity; smart grid data flow architectures; smart grid techniques; Accuracy; Robustness; Scalability; Smart grids; Sociology; Statistics; Power-systems; communications; frequency control; multi-agent systems; reactivity; robustness; scaling;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Conference (UPEC), 2014 49th International Universities
Conference_Location
Cluj-Napoca
Print_ISBN
978-1-4799-6556-4
Type
conf
DOI
10.1109/UPEC.2014.6934655
Filename
6934655
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