Microgrids can bring electricity power to rural communities or isolated military forward operation bases. For many rural areas, renewable powers could be the cheapest power sources available. Utilizing renewable power sources and energy storage systems such as batteries requires new power and voltage control strategies. In addition, these microgrids may be reconfigured frequently. Therefore, the control strategies must be implemented in a plug-and-play fashion at individual nodes, and ideally they should not require much communication with neighboring nodes. Another issue of microgrids is the resistance loss in distribution lines due to the lower operating voltage. To reduce power losses, voltage control is required which again must work in a plug-and-play fashion. In this paper, we propose a decentralized real-time voltage control algorithm that minimizes power losses for a microgrid supported by inverter based distributed power sources. Its optimality and plug-and-play nature are demonstrated through simulations.
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ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
October 17–19, 2012
Fort Lauderdale, Florida, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4531-8
PROCEEDINGS PAPER
Decentralized Voltage Control to Minimize Distribution Losses in an Islanded Microgrid
Changsun Ahn,
Changsun Ahn
University of Michigan, Ann Arbor, MI
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Huei Peng
Huei Peng
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
Changsun Ahn
University of Michigan, Ann Arbor, MI
Huei Peng
University of Michigan, Ann Arbor, MI
Paper No:
DSCC2012-MOVIC2012-8539, pp. 1-7; 7 pages
Published Online:
September 17, 2013
Citation
Ahn, C, & Peng, H. "Decentralized Voltage Control to Minimize Distribution Losses in an Islanded Microgrid." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 1-7. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8539
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