Adaptive control strategy for isolated renewable energy-based generation system with intermittency

This paper implements a three-phase four-wire renewable generation system using wind and solar energy sources that feed standalone consumer loads. A solar photovoltaic (SPV) array, a bidirectional converter (BDC), and a battery storage system (BSS) are being integrated into a self-excited induction generator-based wind energy conversion system. A Modified Proportionate Affine Projection Algorithm (MPAPA) is designed to compute the amplitude of the fundamental load current component with reduced oscillations and keep the power equilibrium between the energy sources and load. An MPAPA-based control of voltage source inverter (VSI) provides numerous functions like harmonics abatement, compensation of neutral current, active and reactive power, load leveling, and voltage stabilization at the common point of intersection (CPI). A BDC controls the charging/draining of BSS by buck-boost modes operation and MPPT of the SPV during intermittent conditions. Moreover, the BSS is connected at the DC link of the VSI to absorb extra power and provide power support during intermittency. Moreover, a comparison is performed between the proposed MPAPA control and existing LMS and leaky momentum control approaches. The MPAPA control settles in less than one cycle (18 ms), becoming within the 2% specified limit. The dynamic simulation and test results of the isolated generation system are assessed under intermittency in non-conventional energy sources and unbalanced load. The total harmonic distortion of the CPI current is less than 5%, which meets the boundary of IEEE-519 standard.