Photovoltaic (PV) systems can reduce greenhouse gas emissions while providing rapid reactive power support to the electric grid. At the distribution grid level, the PV inverters are controlled
In general, PV inverters'' control can be typically divided into constant power control, constant voltage and frequency control, droop control, etc. . Of these, constant power control is primarily utilized in grid-connected
In grid-connected photovoltaic system, inverter voltage regulation of active power and reactive power coordination control function in priority order is divided into the following: the PV point voltage is limited to the
In general, PV inverters’ control can be typically divided into constant power control, constant voltage and frequency control, droop control, etc. . Of these, constant power control is primarily utilized in grid-connected inverters to control the active and reactive power generated by the PV system .
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 objective of the main control of grid-connected photovoltaic systems is to extract the maximum power from the PV and inject the active and reactive power to the grid within the maximum available power while improving the quality of the delivered power .
However, the flexibility of power electronic inverters allows PV to provide grid-friendly features including volt-VAR control, ramp-rate control, high-frequency power curtailment, and event ride-through. These technologies offer power quality improvements and enable wider penetrations of PV systems.
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 .
Figure 12 shows the control of the PV inverters with ANN, in which the internal current control loop is realized by a neural network. The current reference is generated by an external power loop, and the ANN controller adjusts the actual feedback current to follow the reference current. Figure 12.
