Artificial Intelligence Power Control Of Integrated Microgrid With Common Dc Link And Power Converter For Improved Efficiency.

Abstract

This paper proposes a green energy solution for a microgrid that relies on a diesel generator (DG) to meet its electricity needs. This microgrid is fuelled by two renewable energy sources: wind energy from a doubly fed induction generator (DFIG) and a solar photovoltaic array. The solar PV array is directly connected to the common DC bus of back-back voltage source converters (VSCs) located on the rotor side of the DFIG. Furthermore, a battery energy storage (BES) is coupled to the same DC bus via a bidirectional buck/boost DC-DC converter to provide a path for extra stator power from the DFIG. Rotor side VSC control and bidirectional buck/boost DC-DC converter control are used to harvest the most power from both wind and solar sources. A incremental conductance MPPT algorithm is provided for maximising power from a solar PV array. Furthermore, the regulation of load-side VSC is intended to optimise DG fuel use. A novel generalised concept is utilised to calculate the reference DG power output for the best fuel usage. The microgrid is modelled and simulated using MATLAB's Sim Power Systems toolbox for a variety of scenarios, including shifting wind speeds, varying insolation, the influence of load variation on a bidirectional converter, and an unbalanced nonlinear load connected at the point of common coupling (PCC). The DFIG stator and DG currents are both balanced and sinusoidal.