DocumentCode :
21021
Title :
DC Microgrid for Wind and Solar Power Integration
Author :
Strunz, Kai ; Abbasi, Ehsan ; Duc Nguyen Huu
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. of Berlin, Berlin, Germany
Volume :
2
Issue :
1
fYear :
2014
fDate :
Mar-14
Firstpage :
115
Lastpage :
126
Abstract :
Operational controls are designed to support the integration of wind and solar power within microgrids. An aggregated model of renewable wind and solar power generation forecast is proposed to support the quantification of the operational reserve for day-ahead and real-time scheduling. Then, a droop control for power electronic converters connected to battery storage is developed and tested. Compared with the existing droop controls, it is distinguished in that the droop curves are set as a function of the storage state-of-charge (SOC) and can become asymmetric. The adaptation of the slopes ensures that the power output supports the terminal voltage while at the same keeping the SOC within a target range of desired operational reserve. This is shown to maintain the equilibrium of the microgrid´s real-time supply and demand. The controls are implemented for the special case of a dc microgrid that is vertically integrated within a high-rise host building of an urban area. Previously untapped wind and solar power are harvested on the roof and sides of a tower, thereby supporting delivery to electric vehicles on the ground. The microgrid vertically integrates with the host building without creating a large footprint.
Keywords :
distributed power generation; power generation control; power generation scheduling; solar power stations; wind power plants; day-ahead scheduling; dc microgrid; droop control; droop curves; electric vehicles; high-rise host building; operational controls; power electronic converters; real-time scheduling; renewable solar power generation; renewable wind power generation; storage state-of-charge; untapped solar power; untapped wind power; urban area; wind-solar power integration; Batteries; Microgrids; Optimization; Predictive models; Wind forecasting; Wind power generation; Distributed energy resources; droop control; electric vehicle (EV); emission constraint; fast charging; microgrid; multilevel energy storage; optimal scheduling; power electronic conversion; solar power; wind power;
fLanguage :
English
Journal_Title :
Emerging and Selected Topics in Power Electronics, IEEE Journal of
Publisher :
ieee
ISSN :
2168-6777
Type :
jour
DOI :
10.1109/JESTPE.2013.2294738
Filename :
6681907
Link To Document :
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