Hybrid generalised power theory for power quality enhancement
Buddhadeva Sahoo, Sangram Keshari Routray, Pravat Kumar Rout
Abstract
This study proposes an advanced technique based on a hybrid generalised power theory (HGPT) decoupled approach for achieving enhanced power quality (PQ) in a solar-battery system. An 11-level reduced switch inverter (11-RSI) is proposed with reduced complexity to increase the voltage level and facilitate a one-way operation. On view to the simplicity in topology and to obtain maximum power operation, a modified perturb and observe-based maximum power algorithm is adopted. To avail better power management in the proposed microgrid (MG) system, a battery energy storage device is integrated with an appropriate control strategy. Moreover, an LCL filter is integrated in between the grid and 11-RSI, to filter the unwanted current harmonics and protect the system during any transient conditions. To test the robustness of HGPT during any non-linear load applications, various test cases have been formulated and investigated under different situations like change in solar irradiance, and battery charging and discharging conditions through Matlab environment, and compared with the conventional PQ control-based MG results.