The control strategy of the photovoltaic (PV) system in [11] utilized a single-phase grid-connected inverter with low voltage ride-through (LVRT) capability which is controlled by a fuzzy logic
This paper provides a systematic classification and detailed introduction of various intelligent optimization methods in a PV inverter system based on the traditional structure and typical control. The future trends and
Download scientific diagram | Control Logic (a) Basic block diagram. (b) Hysteresis switching assortment. (c) HCC band and inductor current control with grid voltage. (d) Closed-loop PV
Fig. 10 shows the practically measured tracking efficiency of proposed versus conventional SVPWM control. The experimental inverter efficiency with R load is measured with 92% tracking efficiency. The
For a grid-connected PV system, inverters are the crucial part required to convert dc power from solar arrays to ac power transported into the power grid. The control performance and stability of inverters severely affect the PV system, and lots of works have explored how to analyze and improve PV inverters’ control stability .
Although various intelligent technologies have been used in a PV inverter system, the intelligence of the whole system is still at a rather low level. The intelligent methods are mainly utilized together with the traditional controllers to improve the system control speed and reliability.
The control performance of PV inverters determines the system’s stability and reliability. Conventional control is the foundation for intelligent optimization of grid-connected PV systems. Therefore, a brief overview of these typical controls should be given to lay the theoretical foundation of further contents.
The grid-connected PV system control diagram for a three-phase inverter is depicted in Fig. 2.5. It involves the application of a cascaded control loop. The external loop consists of controlling the active and reactive power by PQ controller. It may also consist of indirect control through a DC-link voltage controller.
The control performance and stability of inverters severely affect the PV system, and lots of works have explored how to analyze and improve PV inverters’ control stability . In general, PV inverters’ control can be typically divided into constant power control, constant voltage and frequency control, droop control, etc. .
The control design of this type of inverter may be challenging as several algorithms are required to run the inverter. This reference design uses the C2000 microcontroller (MCU) family of devices to implement control of a grid connected inverter with output current control.
