scenarios where the PID could have a large overcompensation command; As by 10 and 11, the system Fig. Fig. The PID can be manually overridden successfully controls the PV plant and and it follows the commands, in order complies with basic industrial control to ensure a smooth transition when systems requirements, setpoint tracking enabled back; and error rejection, as well as having more advanced control features and additional It has a functionality, to “soft-start” decrease the shock to the system when functionalities for data aggregation. The it starts controller has proved itself a versatile It calculates a reactive setpoint automation tool that can achieve every iteration and then it sends it to the functionality of far more complicated and PLCs. Before sending each command to expensive COTS (Commercial Off The the PLCs, it recalculates the value of the Shelve) devices. command; The PID gains change in value depending on the error, to compensate for large changes in reactive power. The controller is programmed using National Instruments LabVIEW. The controller has been and tested to ensure the plant follows the reactive power setpoint. 10 shows a reactive power test Fig. where the reactive power setpoint had the following values: 0 kvar, 2000 kvar, 4000 kvar, 2000 kvar, 0 kvar, -2000 kvar, -4000 kvar and 0 kvar. 11 shows the reactive power control, Fig. having a setpoint of 0 kvar during a day with irregular solar irradiation. This sort of irregular irradiation usually generates large variations of reactive power, as shown by the behavior of another PV plant, also controlled, but with a different precision, shown in 12. Fig.
scenarios where the PID could have a large overcompensation command; The PID can be manually overridden and it follows the commands, in order to ensure a smooth transition when enabled back; It has a “soft-start” functionality, to decrease the shock to the system when it starts It calculates a reactive setpoint every iteration and then it sends it to the PLCs. Before sending each command to the PLCs, it recalculates the value of the command; The PID gains change in value depending on the error, to compensate for large changes in reactive power. The controller is programmed using National Instruments LabVIEW. The controller has been and tested to ensure the plant follows the reactive power setpoint. Fig. 10 shows a reactive power test where the reactive power setpoint had the following values: 0 kvar, 2000 kvar, 4000 kvar, 2000 kvar, 0 kvar, -2000 kvar, -4000 kvar and 0 kvar. Fig. 11 shows the reactive power control, having a setpoint of 0 kvar during a day with irregular solar irradiation. This sort of irregular irradiation usually generates large variations of reactive power, as shown by the behavior of another PV plant, also controlled, but with a different precision, shown in Fig. 12. As by Fig. 10 and Fig. 11, the system successfully controls the PV plant and complies with basic industrial control systems requirements, setpoint tracking and error rejection, as well as having more advanced control features and additional functionalities for data aggregation. The controller has proved itself a versatile automation tool that can achieve functionality of far more complicated and expensive COTS (Commercial Off The Shelve) devices.
Reactive%20power%20control%20for%20photovoltaic%20power%20plants.docx