DocumentCode :
2374372
Title :
Distribution network capacity assessment: Variable DG and active networks
Author :
Ochoa, Luis ; Dent, Chris ; Harrison, Gareth
Author_Institution :
Univ. of Edinburgh, Edinburgh, UK
fYear :
2010
fDate :
25-29 July 2010
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. Increasing connection of variable distributed generation, like wind power, to distribution networks requires new control strategies to provide greater flexibility and use of existing network assets. Active Network Management (ANM) will play a major role in this but there is a continuing need to demonstrate the benefit in facilitating connection of new generation without the need for traditional reinforcements. This paper proposes a multi-period AC Optimal Power Flow (OPF)based technique for evaluating the maximum capacity of new variable distributed generation able to be connected to a distribution network when ANM control strategies are in place. The ANM schemes embedded into the OPF include coordinated voltage control, adaptive power factor and energy curtailment. A generic UK medium voltage distribution network is analysed using coincident demand and wind availability data derived from hourly time-series. Results clearly show that very high penetration levels of new variable generation capacity can be achieved by considering ANM strategies compared to the widely used passive operation (i.e., ´fit and forget´). The effects on network losses are also discussed.
Keywords :
distributed power generation; power system control; voltage control; wind power; active network management; adaptive power factor; distribution network capacity assessment; optimal power flow; variable distributed generation; voltage control; wind power distribution networks;
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.2010.5589284
Filename :
5589284
Link To Document :
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