Abstract
The high-performance grid-interfaced inverters are in demand as they are rapidly used in renewable energy systems. The main objective of grid-interfaced inverters is to inject high-quality active and reactive power with sinusoidal current. Many control schemes have been proposed earlier in the literature, but the operation under parametric uncertainties has not been given much attention. In this article, an adaptive network–based fuzzy inference control algorithm for a three-phase grid-interfaced inverter under parametric uncertainties is proposed. The main purpose of the proposed technique is to enhance the response time, decrease the steady-state oscillation in the injected active and reactive power and enhance the power quality even with parametric uncertainties. For assessment and evaluation reason, the conventional proportional–integral control is compared with the proposed controller. For a fair comparison, the gain setting for the proportional–integral control is obtained by Particle swarm optimization algorithm. The suggested system is developed and simulated in MATLAB/Simulink. Simulation results demonstrate that both the controllers work well to regulate the powers to required values, even with parametric variations. However, the proposed control demonstrates superiority in comparison to conventional proportional–integral control in terms of speedy response, decreased steady-state fluctuations, better power quality and increased robustness. The rise time and fluctuations in the per-unit active and reactive power are much less with the proposed control. Total harmonic distortion of the injected current and grid current are significantly better than the conventional proportional–integral control.
Highlights
The use of high-performance grid-interfaced inverters is the need of time as the renewable energy sources (RESs) are being connected to the distribution system using these inverters
Both the grid current total harmonic distortion (THD) and inverterinjected current THD are increased to 7.48% and 9.18%, respectively, with proportional– integral (PI) control
A large number of control techniques for three-phase grid-interfaced inverters can be found in the literature for the interfacing inverters, but their adaptability to dynamic systems is very poor
Summary
The use of high-performance grid-interfaced inverters is the need of time as the renewable energy sources (RESs) are being connected to the distribution system using these inverters. These methods use transformation of active and reactive components of currents into synchronously rotating reference frame. Voltage-oriented control with proportional– integral (PI) control is the most favoured technique in permanent magnet synchronous generator–based wind energy sources, but regulating the gains of PI control is a major drawback.[12] the performance is influenced by the system parameter variations Another control algorithm based on direct toque control of AC machines known as direct power control (DPC) has been benchmarked for grid-connected converters. ANFIS-based controller is used to track the currents to the reference values, which in turn control the active and reactive powers.[21] The proposed system is developed and simulated in MATLAB environment. The outcome of every node stands for the firing power
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