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Decentralized ℋ Control in Microgrids to Mitigate Renewable Intermittency

[+] Author Affiliations
Matthew K. Chu Cheong, Dongmei Chen

University of Texas at Austin, Austin, TX

Pengwei Du

The Electric Reliability Council of Texas, Taylor, TX

Paper No. DSCC2016-9771, pp. V001T04A004; 6 pages
doi:10.1115/DSCC2016-9771
From:
  • ASME 2016 Dynamic Systems and Control Conference
  • Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation
  • Minneapolis, Minnesota, USA, October 12–14, 2016
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5069-5
  • Copyright © 2016 by ASME

abstract

The goal of this paper is to control the dynamics of an islanded microgrid, a small-scale power system with distributed generation. An islanded microgrid is disconnected from the larger, main grid, and must maintain voltage and frequency standards using only local generation. As a result, islanded microgrids are more vulnerable to fluctuations in power supply and demand; this is especially relevant for intermittent renewable sources like wind turbines.

The system is stabilized with static-output-feedback γ-suboptimal control. This is a multiple-input multiple-output (MIMO) controller in which the measured data is used as the direct input to a static gain matrix, whose output is in turn used to control the closed-loop system. In order to judge the performance of the decentralized controllers, the micgorid is controlled first in a centralized manner, where each controller has access to all measured state variables. Decentralized controllers are then synthesized by casting the problem as a convex program, where each controller only has access to locally measured variables. Control performance is compared with respect to a switched-on wind turbine, where we see that the decentralized controller effectively mitigates the system disturbance due to the renewable intermittency.

Copyright © 2016 by ASME
Topics: Microgrids

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