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A Distributed Model Predictive Control Framework for Grid-Friendly Distributed Energy Resources
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DOI：10.1109/TSTE.2020.3018913.png)
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摘要
En 中文
This work develops a distributed fast-frequency control framework for application in self-consuming energy communities. We propose a distributed consensus optimization of inertia coefficients based on the individual resource constraints of grid-friendly distributed energy resources (ders), which relies on the presence of a peer-to-peer communication infrastructure. In the proposed control strategy, the inertia coefficients of the individual ders are optimally tuned in real-time by a faster control loop to improve the frequency response metrics such as nadir frequency, peak overshoot, and the settling time of the frequency transient with the help of local model predictive controllers. The coordination among the ders are simulated on the cigre benchmark microgrid and the control is validated on a power hardware-in-the-loop platform.
Keyword:
Frequency control
Microgrids
Optimization
Frequency response
Synchronous generators
Damping
Consensus
distributed energy resource
frequency control
inertia
microgrids
model predictive control
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5.4
论文数:
6.8K
被引数:
1.5W
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