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Optimal Integrated Inner Controller Design in AC Microgrids
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DOI：10.1109/TPEL.2022.3165355.png)
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摘要
En 中文
The optimal design of a microgrid's primary control's inner loops is a severe challenge in high-bandwidth (BW) applications. Mostly, nonoptimal controllers are given as a sublevel design for the current and voltage inner loops. Unlike conventional methods, such as proportional resonant, proportional-integral, and finite-set model predictive control, in this article, an optimal integrated inner controller is proposed based on a linear quadratic tracking (LQT) methodology. In the proposed method, a model-based optimal LQT controls the microgrid's voltage and current simultaneously. By employing this method, a performance index, which is a system energy indicator is minimized, and the BW of the controller is systematically adjusted through the employed weighting matrices in the performance index. Besides, a current limiting mechanism is provided for the proposed method, which discriminates its applicability for practical purposes. Unlike the conventional current limiting algorithms, which limit the sine-waveform of the current, the proposed method limits the amplitude of the current and causes less current and voltage distortions during over-current situations. The simulation and experimental results reveal the superiority of the proposed method.
Keyword:
Voltage control
Inductance
Limiting
Distortion
Aerospace electronics
State feedback
Reactive power
Inner controller
microgrid (MG)
optimal tracking
primary control (PC)
期刊
IF:
6.5
论文数:
1.7W
被引数:
8.3W
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