Multienergy Source-Based Microgrid Incorporating Dual-Mode IFC Control Approach Under Abnormal Grid Circumstances

In this article, we present a dual control of interfacing converter connected between the dc subgrid and the ac utility grid. The primary objective of the microgrid is to supply consistent power to ac loads and dc loads when a system undergoes disruptions in loads and grid ends while maintaining overall power quality. Under grid abnormalities, an enhanced first-order filter with multiple prefilters frequency-locked loop is utilized for extraction of positive sequence fundamental component of grid voltages while eliminating the dominant (5th and 7th) harmonics components and operating at unity power factor. Moreover, the same quadrature signal generator is used to estimate the accurate active element of load current while suppressing the influence of noise and dc offset. The comparative approach of control is observed to justify its adaptability. However, during standalone mode, an artificial neural network (ANN) based controller action is implemented to enhance the tracking capability. The ANN executes via a rigorous training process of current trajectories in order to obtain the controller's satisfying response. A brushless direct current generator is used as a microhydro and wind generator, as it is independent of frequency and voltage variations at a point of common intersection, unlike other ac generators. The simulation of a microgrid in MATLAB Simulink platform is performed and validated using a hardware prototype in the laboratory undergoing various disruptions to evaluate the system's response in both operating modes.