Abstract
In this paper, partial feedback linearizing model predictive controllers are designed for grid-connected systems comprising multiple photovoltaic (PV) units where these units are connected through a point of common coupling (PCC). The proposed controllers are designed for voltage source inverters (VSIs) based on comprehensive dynamical models of grid-connected PV systems with the proposed topology. The proposed partial feedback linearization scheme decouples multiple PV units in the forms of several reduced-order subsystems and enables linear controller design through the linear continuous-time receding horizon model predictive control scheme. The proposed partial feedback linearization scheme also considers dynamic interactions among multiple PV units as external noises or disturbances and decouples these noises. This paper includes the noise decoupling capability of the partial feedback linearization for grid-connected PV systems with multiple PV units which are connected through a PCC. Simulation results clearly demonstrate the effectiveness of the proposed scheme under different operating conditions as compared to an existing proportional integral controller.
Highlights
Solar photovoltaic (PV) systems are considered as one of the most promising renewable energy sources (RESs) and the constructions of large-scale grid-connected solar PV systems are increasing around the world as these provide several benefits [1]
This paper aims to design partial feedback linearizing model predictive controllers for voltage source inverters (VSIs) in large-scale grid-connected PV systems where multiple PV units are connected to the grid through a point of common coupling (PCC)
The designed controllers exhibit faster responses and better noise or disturbance decoupling capabilities as compared to Proportional integral (PI) controllers. These results clearly indicate the fault-ride through capability of the PV system with the designed feedback linearizing model predictive controller
Summary
Solar photovoltaic (PV) systems are considered as one of the most promising renewable energy sources (RESs) and the constructions of large-scale grid-connected solar PV systems are increasing around the world as these provide several benefits [1]. The designers of hysteresis controllers need to deal with variable switching frequencies and this requires more efforts for the appropriate filter design These controllers suffer from robustness with changes in atmospheric conditions. Most of the existing linear and nonlinear control techniques cannot be employed when the configurations of grid-connected systems with multiple PV units are considered with a PCC. The main reason behind this is the interconnections among different PV units By considering this fact, a nonlinear dynamical model of a grid-connected PV system with such a configuration is developed in [2]. This paper aims to design partial feedback linearizing model predictive controllers for VSIs in large-scale grid-connected PV systems where multiple PV units are connected to the grid through a PCC. Simulation studies are carried out to validate the performance of the proposed scheme over a PI controller
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