DocumentCode :
715152
Title :
Investigating the impact of varying the number of distributed energy resources on controlling the power flow within a microgrid
Author :
Fazeli, Amir ; Sumner, Mark ; Johnson, C. Mark ; Christopher, Edward
Author_Institution :
Smart Grid Res. Centre, Alstom Grid Ltd., Stafford, UK
fYear :
2015
fDate :
18-20 Feb. 2015
Firstpage :
1
Lastpage :
5
Abstract :
The electrification of heat and transport in addition to integration of intermittent renewable resources into the existing electricity network is expected to occur in near future. Such a transformation is expected to force the operation of the electricity power system at different levels to its limits and would require reinforcement of the network assets at different levels. The incorporation of active management and control within microgrids and across the low voltage distribution network is thought as a cost effective solution which would facilitate wide scale integration of the emerging distributed energy resources. However since increasing the microgrid size at a certain DER penetration level would increase the total dispatchable power it is expected to affect the effectiveness of any control algorithm that operates at that level. This paper presents the findings obtained from of an investigation into the relationship between microgrid size and the effectiveness of a deterministic control algorithm implemented at that level.
Keywords :
deterministic algorithms; distributed power generation; distribution networks; load flow control; power generation dispatch; renewable energy sources; DER penetration level; deterministic control algorithm; dispatchable power; distributed energy resources; electricity network; electricity power system; intermittent renewable resources; low voltage distribution network; microgrid size; network assets; power flow; Density estimation robust algorithm; Electric vehicles; Load flow; Load modeling; Loss measurement; Microgrids; Software packages; Demand Side Management; Distributed Energy Resources; Microgrids; Power Flow Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
Type :
conf
DOI :
10.1109/ISGT.2015.7131885
Filename :
7131885
Link To Document :
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