Load Power Smoothing and DC Bus Voltage Control of PV-SMES Standalone Microgrid based Variable Speed DG using FLC-MPC Approach

Abstract

Microgrids (MGs) are small scale power grids which comprised of local clean and green energy generation as well as smart energy management units. These systems represent promising solutions for the development of future smart cities. This paper proposes a stand-alone hybrid microgrid system comprising of a variable speed diesel generator (VSDG) and photovoltaic (PV) system in order to reduce the fuel consumption and carbon emissions. Maximum power point tracking (MPPT) is applied to the PV system in coordination with a superconducting magnetic energy storage (SMES) unit since the output power affects the speed response of the generator. A fuzzy logic controller (FLC) is developed to track the speed response. A Load Power Tracking (LPT) algorithm is proposed to extract the exact amount of required power from the generation side based on the load demand. Furthermore, this study compares the system performance and load power quality by applying space vector pulse width modulation-based PI controller (SVPWM-PI) against model predictive control (MPC) to the interlinking inverter. Simulation results show the superior performance of MPC with fewer voltage harmonics and better load power quality.