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236    CHAPTER 7 Strategies for Fault Detection and Diagnosis




                         Table 7.2 Main Parameters Included in the Monitoring System
                                                      PV System
                          Monitored Parameters        Components       Sensors
                          Climatic   Irradiance in the PV  PV modules,  Pyranometers, reference
                          parameters  array plane     strings, and arrays  solar cells
                                     Module and ambient                Thermocouples, resistive
                                     temperature                       temperature sensors
                                     Humidity                          Humidity sensors
                                     Wind speed                        Thermal wind sensors and
                                     Barometric pressure               anemometers
                                                                       Pressure sensors
                          Electrical  AC and DC: voltage,  PV strings and  Voltmeters
                          parameters  Current and power  arrays        Ammeters, hall sensors, or
                                     Frequency and    Inverters        active-type CT
                                     power factor (AC)                 Power meters, power
                                                                       analyzers



                         Some centralized supervision systems use as input data satellite monitoring data or
                         weather forecast data [17e19] for the site where the PV system under supervision is
                         located to evaluate the expected energy production and yields. Moreover, for very
                         short-term forecasts, stochastic learning techniques and artificial intelligence
                         methods can be applied [20e23]. Satellite images [24] or local ground measure-
                         ments of cloud speed [25] can also be used to analyze cloud motion vectors for
                         forecasting.
                            The best accuracy in the supervision and diagnosis of PV systems is achieved by
                         using real monitored data in combination with specific software tools in both
                         centralized and distributed supervision systems. The monitored data can be grouped
                         in climatic and electrical parameters as shown in Table 7.2.
                            The most important climatic parameters are the plane of array (POA) irradiance
                         and the PV module temperature. Moreover, relative humidity, barometric pressure,
                         and wind speed also affect the behavior of PV modules and can be included in the
                         monitoring system.
                            Regarding the electrical parameters, voltages, currents, and power must be moni-
                         tored at both DC and AC sides of the PV system. It is also important to measure the
                         frequency, power factor, and total harmonic distortion (THD) at the output of the in-
                         verters in GCPVSs.
                            Specific sensors together with data acquisition systems or data loggers can be
                         used for monitoring both electrical and climatic parameters. However, nowadays
                         most inverters include inputs for irradiance and temperature sensors and internal
                         hardware to measure all electrical parameters at its input (DC) and output (AC)
                         and for maximum power point tracking (MPPT) evolution. Moreover, most inverters
                         also include storage capabilities and communication interfaces: Ethernet, RS-485,
                         RS-232, or wireless connection (Bluetooth, Wi-Fi, and GSM), to send the monitored
                         data to the supervision system.
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