Energetic Macroscopic Representation of an Islanded Switched Reluctance Generator-Based DC Microgrid

Switched Reluctance Generator (SRG) is a sustainable and low-cost solution for future small-scale wind-energy-conversion system (WECS). However, the SRG has intrinsic spatial and magnetic nonlinearities and the study of WECS is multidisciplinary and complex. To simplify the modelling and controller design process, this paper proposes a comprehensive step-by-step design method for an SRG based DC micro grid. Thanks to the Energetic Macroscopic Representation, a natural decomposition of the studied WECS with respect to physical laws is obtained. Moreover, a control scheme is easily deduced from this description using inversion-based rules. Three operating modes are evaluated: maximum power tracking, direct power control, and output voltage control. The effectiveness of the methodology is validated under variable-speed wind conditions by simulation in MATLAB/Simulink environment.