A wireless, non-invasive equipment for the monitoring of current flow directly in the wiring of the photovoltaic installations without having to cut the wire, that aims to remotely monitor and send the current readings of the wiring coming out of the photovoltaic solar panels, without having to disconnect the wires is disclosed. It consists in a portable housing, including inside a control circuit with its corresponding microprocessor and its DC/DC. The microprocessor is connected to different Hall effect sensors in order to measure the current flow through the wires of the installation and a RIFD reader for the identification of the installation. The equipment has a wireless communications module that sends the measured values together with the identification code of the installation.

A wireless, non-invasive equipment for the monitoring of current flow directly in the wiring of the photovoltaic installations without having to cut the wire, that aims to remotely monitor and send the current readings of the wiring coming out of the photovoltaic solar panels, without having to disconnect the wires is disclosed. It consists in a portable housing, including inside a control circuit with its corresponding microprocessor and its DC/DC. The microprocessor is connected to different Hall effect sensors in order to measure the current flow through the wires of the installation and a RIFD reader for the identification of the installation. The equipment has a wireless communications module that sends the measured values together with the identification code of the installation.

An object of the present invention is to provide a manufacturing apparatus for a solar cell group that is likely to be recognized as having a good color balance when viewed by humans. The manufacturing apparatus for a solar cell group of the present invention includes an arrangement operation unit (12) that arranges solar cells and a machine learning unit (20). The solar cell group is formed by planarly arranging the solar cells. The solar cells have a light receiving surface and include an antireflection material on the light receiving surface side. Some of the solar cells have a variation in color element due to a difference in thickness of the antireflection material or a difference in refractive index of the antireflection material. The machine learning unit (20) performs machine learning using a correlation between an arrangement of the solar cells and a determination result by humans on color balance of the solar cell group as training data. When the solar cell group is manufactured, the machine learning unit (20) generates an arrangement model of the solar cells that is predicted to be determined to have a good color balance as the solar cell group by humans' visual recognition based on information on color elements of each solar cell, and then the arrangement operation unit (12) arranges each of the solar cells based on the arrangement model.

A photovoltaic energy system and a method for detecting a ground insulation impedance, improve accuracy of detecting a ground insulation impedance after one or more conversion circuits are connected in parallel. The photovoltaic energy system includes one or more conversion circuits and a detection circuit. The detection circuit includes an alternating current signal source and a sampling resistor that are connected in series, a first sampling circuit, and a control circuit. The control circuit is configured to control the alternating current signal source to output harmonic signals of a first frequency and a second frequency. The first sampling circuit is configured to: when the alternating current signal source outputs the harmonic signal of the first frequency, collect a voltage at both terminals of the sampling resistor to obtain a first voltage.

Embodiments of this application disclose a fault point position determining method and apparatus and a photovoltaic system, to correctly and efficiently determine a fault point position when a disconnection fault occurs in a photovoltaic system. The method is applied to a photovoltaic system, the photovoltaic system includes at least one inverter and at least one photovoltaic unit, each photovoltaic unit includes at least one photovoltaic module and one photovoltaic module controller, and the method includes: sending, by an inverter, a first test signal to the at least one photovoltaic unit; obtaining, by the inverter, first test signal characteristic information fed back by the at least one photovoltaic unit; and performing, by the inverter, absolute value or relative value sorting on the at least one piece of first test signal characteristic information, and determining a fault point in the photovoltaic system based on a sorting result.

Embodiments of this application disclose a fault point position determining method and apparatus and a photovoltaic system, to correctly and efficiently determine a fault point position when a disconnection fault occurs in a photovoltaic system. The method is applied to a photovoltaic system, the photovoltaic system includes at least one inverter and at least one photovoltaic unit, each photovoltaic unit includes at least one photovoltaic module and one photovoltaic module controller, and the method includes: sending, by an inverter, a first test signal to the at least one photovoltaic unit; obtaining, by the inverter, first test signal characteristic information fed back by the at least one photovoltaic unit; and performing, by the inverter, absolute value or relative value sorting on the at least one piece of first test signal characteristic information, and determining a fault point in the photovoltaic system based on a sorting result.

A test method for testing a solar power generation system is provided. The solar power generation system includes a DC to AC converter and a control unit. The DC to AC converter is electrically coupled between an external power grid and a solar panel. The control unit is configured to control the DC to AC converter to switch between a power generation mode and a test mode. When in the power generation mode, a photoelectric energy generated by the solar panel is provided to the external power grid via the DC to AC converter. When in the test mode, the control unit controls the DC to AC converter to generate a testing electrical energy by obtaining from the external power grid, to effect a test result of the solar panel when the testing electrical energy passes through the solar panel.

A test method for testing a solar power generation system is provided. The solar power generation system includes a DC to AC converter and a control unit. The DC to AC converter is electrically coupled between an external power grid and a solar panel. The control unit is configured to control the DC to AC converter to switch between a power generation mode and a test mode. When in the power generation mode, a photoelectric energy generated by the solar panel is provided to the external power grid via the DC to AC converter. When in the test mode, the control unit controls the DC to AC converter to generate a testing electrical energy by obtaining from the external power grid, to effect a test result of the solar panel when the testing electrical energy passes through the solar panel.

A fault diagnosis method and a diagnosis device provided in the present invention are applied to the technical field of photovoltaic power generation. The method includes: acquiring a high-irradiance IV data set and a low-irradiance IV data set of a diagnosis object, taking any one IV data set as a target IV data set, selecting, from the target IV data set, target IV data as inflection point data, taking the other IV data set as a reference IV data set, and selecting, from the reference IV data set, IV data having the same voltage value corresponding to the target IV data to serve as reference IV data. If the reference IV data also belongs to the inflection point data, a mismatch type of the diagnosis object is determined according to the target IV data and the result of the irradiation degree changing with the reference IV data. According to the present method, by analyzing the IV data under different irradiation conditions, whether the mismatch fault of the diagnosis object is a front current mismatch or a back current mismatch is determined, such that decoupling of a fault determination result of the diagnosis object is achieved, and the accuracy of fault diagnosis is improved.

A fault diagnosis method and a diagnosis device provided in the present invention are applied to the technical field of photovoltaic power generation. The method includes: acquiring a high-irradiance IV data set and a low-irradiance IV data set of a diagnosis object, taking any one IV data set as a target IV data set, selecting, from the target IV data set, target IV data as inflection point data, taking the other IV data set as a reference IV data set, and selecting, from the reference IV data set, IV data having the same voltage value corresponding to the target IV data to serve as reference IV data. If the reference IV data also belongs to the inflection point data, a mismatch type of the diagnosis object is determined according to the target IV data and the result of the irradiation degree changing with the reference IV data. According to the present method, by analyzing the IV data under different irradiation conditions, whether the mismatch fault of the diagnosis object is a front current mismatch or a back current mismatch is determined, such that decoupling of a fault determination result of the diagnosis object is achieved, and the accuracy of fault diagnosis is improved.