Application of mathematical morphology for power quality improvement in microgrid

摘要

This manuscript presents a novel mathematical morphology-based shunt active filter (SHAF) for improving the power quality (PQ) in microgrid applications. The proposed approach is more concerned about the integration of renewable energy such as photovoltaic (PV) system and nonlinear load in the grid. On PQ, accuracy, and real-time application point of view, in the proposed approach, a two-way control strategy is developed. Firstly, to regulate the duty ratio of a boost converter (BC) and PV performance, a sliding mode control (SMC)-based novel maximum power algorithm (MPA) is proposed. Secondly, to eliminate the nonlinearity selectively, an improved active and reactive current decomposition (I-P - I-Q) technique is proposed. The improved I-P - I-Q contains a low pass mathematical morphology filter (LMMF), to extract the fundamental dc component. The proposed approach eliminates the conventional alpha beta and dq transformation, with the reduced cost of computation and improved tracking speed. To validate the proposed two-way control strategy, it is simulated through MATLAB software, and the proposed results are compared with the conventional MPA and low pass filter-based dq (CLPF-dq) approach.