DocumentCode :
2377961
Title :
Using AC Optimal Power Flow for DG planning and optimisation
Author :
Ochoa, Luis F. ; Harrison, Gareth P.
Author_Institution :
Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
7
Abstract :
While it is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning strategies. This work presents an overview of some of the uses to which a tailored AC Optimal Power Flow (OPF) can be applied to DG planning and optimisation. Its application to maximising connectable capacity and energy loss minimisation are presented and discussed. The incorporation of a wide range of network constraints, including fault levels, voltage step change and N-1 security are also outlined. The AC OPF technique is extended to a multi-period approach to cater for the variability of demand and renewable generation. Advanced smart grid-like control strategies are also incorporated into this planning tool in order to evaluate the potential benefits. Simple test feeders as well as generic UK distribution systems are adopted to demonstrate the methodology.
Keywords :
distributed power generation; fault diagnosis; load flow; power distribution planning; power system security; AC optimal power flow; N-l security; demand generation; distributed generation optimisation; distributed generation planning; energy loss minimisation; fault levels; network constraints; renewable generation; smart grid-like control strategies; voltage step change; Distributed generation; active network management; distribution networks; optimal power flow; wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1944-9925
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PES.2010.5589482
Filename :
5589482
Link To Document :
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