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Robust trajectory-constrained frequency control for microgrids considering model linearization error
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DOI：10.1016/j.apenergy.2022.120559.png)
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摘要
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Grid supportive modes integrated within inverter-based resources can improve the frequency response of renewable-rich microgrids. The synthesis of grid supportive modes to guarantee frequency trajectory constraints under a predefined disturbance set is challenging but essential. To tackle this challenge, a numerical optimal control (NOC)-based control synthesis methodology is proposed. Without loss of generality, a wind-diesel fed microgrid is studied, where we aim to design grid supportive functions in the wind turbine. In the control design, linearized models are used, and the linearization-induced errors are quantitatively analyzed by reachability and interval arithmetics and represented in the form of interval uncertainties. Then, the NOC problem can be formulated into a robust mixed-integer linear program. The control structure is strategically configured into two levels to realize online deployment. The proposed control is verified on the modified 33-node microgrid with a full-order three-phase nonlinear model in Simulink. The simulation results show the effectiveness of the proposed control paradigm and the necessity of considering linearization-induced uncertainty.
Keyword:
Microgrids
Frequency response
Wind turbine generator
Uncertainty quantification
Reachability
Interval analysis
Numerical optimal control
Mixed-integer linear programming
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IF:
11
论文数:
2.6W
被引数:
17.8W
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