4.6 Article

Robust linear parameter varying frequency control for islanded hybrid AC/DC microgrids

Journal

ELECTRIC POWER SYSTEMS RESEARCH
Volume 214, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2022.108898

Keywords

Frequency regulation; Hybrid AC; DC model; Islanded microgrid; Linear matrix inequality (LMI); Linear parameter varying (LPV) model; Parametric uncertainties; Renewable resources; Robust control; Stochastic disturbance

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The applicability of robust linear parameter varying (LPV) control for frequency fluctuation damping in an islanded hybrid microgrid (IHMG) system is investigated in this paper. The study focuses on the effect of renewable energy sources (RESs), load variation, solar irradiation, wind power disturbance, and system parametric uncertainties on the system frequency operation. A novel LPV approach is proposed to hide the nonlinearity of the wind turbine and obtain a dynamic output feedback controller. The results show the superiority of the proposed robust method in terms of frequency stability compared to other methods under simultaneous disturbances and parametric uncertainties.
The applicability of a robust linear parameter varying (LPV) control for frequency fluctuation damping in an islanded hybrid microgrid (IHMG) system (DEG/WTG /PV/FC/ESSs) is investigated in this paper. Due to the erratic behavior of the majority of the renewable energy sources (RESs) and the varying time nature of loads, frequency deviation from the nominal value is inevitable, especially in the islanded mode. Load variation, solar irradiation, and wind power disturbance, as well as system parametric uncertainties, can significantly disturb the system frequency operation. In this paper, the wind speed and rotated speed of the nonlinear wind turbine are highlighted as scheduling parameters, and the nonlinearity of the wind turbine is hidden by the LPV approach. In the proposed method, a dynamic output feedback controller is obtained based on the power balance equation, by solving three LMIs to minimize the upper bound of the L2-Norm of the uncertain IHMG in an algorithmic approach. For better evaluation, the ultimate LPV control approach is compared with two other methods on the understudy IHMG model. The result represents a noticeable advantage of the proposed robust method compared to other methods in terms of frequency stability based on time-domain and norms characteristics in presence of the simultaneous disturbances and parametric uncertainties.

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