مشخصات پژوهش

عنوان	Model-Based Fault Detection in DC Microgrids
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	component faults , DC Microgrid , H _/ H ∞ based fault detection , Kalman filter , model-based fault detection
چکیده	Recently DC Microgrids (DC-MGs) are more attractive and effective in renewable energy resources (RERs). In this paper, for the protection of devices and detecting parametric faults, two model-based fault detection strategies are presented for DC-MGs. The proposed strategies include a fault detection filter (FDF), named H_/H∞ based filter, and Kalman based filter. H_/H∞ based filter can minimize disturbance effects and maximize the fault effects on the so-called residual signal. The results of H_/H∞ based filter are compared with the Kalman based filter. Results show that the H_/H∞ based filter is more effective for detection of parametric faults in DC-MGs.
پژوهشگران	اسعد سلیمی (نفر اول)، حسن بیورانی (نفر سوم)، یزدان باتمانی (نفر دوم)