DocumentCode :
3561325
Title :
Dynamic Modeling and Operation Strategy for a Microgrid With Wind and Photovoltaic Resources
Author :
Bae, Sungwoo ; Kwasinski, Alexis
Author_Institution :
Deptartment of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA
Volume :
3
Issue :
4
fYear :
2012
Firstpage :
1867
Lastpage :
1876
Abstract :
This paper presents a dynamic modeling and control strategy for a sustainable microgrid primarily powered by wind and solar energy. A current-source-interface multiple-input dc-dc converter is used to integrate the renewable energy sources to the main dc bus. Potential suitable applications range from a communication site or a residential area. A direct-driven permanent magnet synchronous wind generator is used with a variable speed control method whose strategy is to capture the maximum wind energy below the rated wind speed. This study considers both wind energy and solar irradiance changes in combination with load power variations. As a case study a 30-kW wind/solar hybrid power system dynamic model is explored. The examined dynamics shows that the proposed power system is a feasible option for a sustainable microgrid application.
Keywords :
DC-DC power convertors; angular velocity control; distributed power generation; hybrid power systems; permanent magnet generators; photovoltaic power systems; power distribution control; power system simulation; solar power stations; sunlight; sustainable development; synchronous generators; wind power plants; DC bus; current-source-interface multiple-input DC-DC converter; direct-driven permanent magnet synchronous wind generator; load power variation; photovoltaic resource; power 30 kW; renewable energy source; solar energy resource; solar irradiance; sustainable microgrid application; variable speed control method; wind energy resource; wind speed; wind-solar hybrid power system dynamic model; Generators; Mathematical model; Power systems; Rotors; Wind energy; Wind speed; Wind turbines; Photovoltaic power systems; power conversion; power system modeling; wind power generation;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
Conference_Location :
5/21/2012 12:00:00 AM
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2012.2198498
Filename :
6203392
Link To Document :
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