DocumentCode
1330218
Title
Distribution Network Capacity Assessment: Variable DG and Active Networks
Author
Ochoa, Luis F. ; Dent, Chris J. ; Harrison, Gareth P.
Author_Institution
Inst. for Energy Syst., Univ. of Edinburgh, Edinburgh, UK
Volume
25
Issue
1
fYear
2010
Firstpage
87
Lastpage
95
Abstract
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 U.K. medium voltage distribution network is analyzed 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; distribution networks; load flow; power factor; power system management; U.K. medium voltage distribution network; active network management; adaptive power factor; coordinated voltage control; distribution network capacity assessment; multiperiod AC optimal power flow; network losses; time-series; variable distributed generation; Active network management; distributed generation; distribution networks; optimal power flow; wind power;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2009.2031223
Filename
5332248
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