Robust Normalized Mixed Norm Adaptive Control Scheme for PQ Improvement at PCC of a Remotely Located Wind-Solar PV-BES Microgrid

Robust Normalized Mixed Norm Adaptive Control Scheme for PQ Improvement at PCC of a Remotely Located Wind-Solar PV-BES Micro grid.

Abstract:    

The energy poverty in rural areas is due to the intermittent power supply from the existing utility. The proposed remotely located wind- solar photovoltaic (PV) array and battery energy storage (BES) supported micro grid, intends to overcome the uncertainty of the renewable power generation by compensating power quality (PQ) disturbances at the point of common coupling (PCC). Robust normalized mixed norm (RNMN) adaptive algorithm filters the load current component to remove the harmonics pertaining due to nonlinear load currents and improves the voltage profile at PCC. It allows the connection of sensitive loads without affecting their life and applicability at PCC. RNMN algorithm provides enhanced convergence rate as well as it reduces the steady state error effectively. BES controlled by a bidirectional DC-DC converter (BDC), ensures power supply to the critical loads during scarce generation by renewables resources. Proportional resonant (PR) controller provides superior performance over conventional proportional integral (PI) controller while dealing with the sinusoidal signals. Rejection of DC offset with effective harmonics elimination, is provided by the improved second order generalized integrator-phase locked loop (ISOGI-PLL). The speed regulation of the synchronous generator (SG) driven by a wind turbine is achieved by sensor less field oriented control (FOC) technique. The maximum power point (MPP) of each renewable resource, is attained by individual implementation of perturb and observe (P&O) scheme.