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CN-121994372-A - Over-temperature detection system, centralized photovoltaic inverter and over-temperature detection method

CN121994372ACN 121994372 ACN121994372 ACN 121994372ACN-121994372-A

Abstract

The invention provides an over-temperature detection system which comprises an air inlet detection mechanism, a temperature detection unit and a data processing unit, wherein the air inlet detection mechanism is arranged at an air inlet of a centralized photovoltaic inverter and is used for detecting real-time air inlet data, the temperature detection unit is used for detecting first temperature data at an IGBT unit and second temperature data at a radiator, the data processing unit is electrically connected with the air inlet detection mechanism and the temperature detection unit and is used for receiving the real-time air inlet data, the first temperature data and the second temperature data, acquiring real-time operation power of an inverter, real-time rotation speed of an exhaust fan and comparison air inlet data, carrying out multi-mode data fusion processing on the real-time air inlet data, the first temperature data, the second temperature data, the real-time operation power, the real-time rotation speed and the comparison air inlet data, and determining whether the inverter is over-temperature or not according to a processing result, and determining a heat dissipation failure cause of the over-temperature. The invention also provides a centralized photovoltaic inverter and an over-temperature detection method. The invention can accurately determine the heat dissipation fault reason of the inverter.

Inventors

  • SUN WENYU

Assignees

  • 上能电气股份有限公司

Dates

Publication Date
20260508
Application Date
20260123

Claims (10)

  1. 1. An overheat detection system for a centralized photovoltaic inverter, comprising: The air inlet detection mechanism is arranged at an air inlet of the centralized photovoltaic inverter and is used for detecting real-time air inlet data at the air inlet, and the real-time air inlet data at least comprises air inlet speed and air inlet form; The temperature detection unit is used for detecting first temperature data at an IGBT unit of the centralized photovoltaic inverter and second temperature data at a radiator in real time, and The data processing unit is electrically connected with the air inlet detection mechanism and the temperature detection unit respectively and is used for: Receiving the real-time air inlet data, the first temperature data and the second temperature data, and acquiring real-time running power of the centralized photovoltaic inverter, real-time rotating speed of an exhaust fan and comparison air inlet data, wherein the comparison air inlet data is obtained by performing machine learning training on the normal air inlet data and/or different air inlet data under different heat dissipation fault reasons; performing multi-mode data fusion processing on the BP neural network by the real-time air inlet data, the first temperature data, the second temperature data, the real-time operating power, the real-time rotating speed and the comparative air inlet data, and And determining whether the centralized photovoltaic inverter is over-heated according to the processing result, and determining a heat dissipation failure cause causing the over-temperature.
  2. 2. The excess temperature detection system of claim 1 wherein the inlet air detection mechanism comprises: The shape of the mounting frame is matched with the shape of the air inlet; The mounting base plate is arranged transversely or longitudinally across the middle of the mounting frame; The air inlet detection modules are arranged on two sides of the mounting substrate and form an air inlet detection area, the area of the air inlet detection area is at least 80% of the area of the air inlet, the air inlet detection modules can deform under the action of wind power and output deformation degree as deformation data, and the air inlet detection modules are used for detecting the air inlet of the air conditioner and the air conditioner The data acquisition module is electrically connected with the data processing unit and the air inlet detection modules, and is used for acquiring a plurality of groups of deformation data of the air inlet detection modules, converting the deformation data into real-time air inlet data and transmitting the real-time air inlet data to the data processing unit.
  3. 3. The excess temperature detection system of claim 2, wherein the intake detection module comprises: The front end of the air inlet sensing device is arranged on the mounting substrate, the tail end extends towards the outer side of the mounting frame and is spaced a first set distance from the edge of the mounting frame, the air inlet sensing device can deform under the action of wind force, and The strain gauge sensor is arranged on the air inlet sensing device and is electrically connected with the data acquisition module, and the strain gauge sensor is used for detecting the deformation degree of the air inlet sensing device under the action of wind power and outputting the deformation degree as deformation data.
  4. 4. The excess temperature detection system of claim 3 wherein the mounting substrate is disposed across a middle portion of the mounting frame; The air inlet induction devices are divided into two groups which are correspondingly arranged on the mounting substrate, the two groups of air inlet induction devices extend towards the upper side and the lower side of the mounting substrate respectively, and the air inlet induction devices in each group are arranged at equal intervals.
  5. 5. The excess temperature detection system of claim 3 wherein the strain gauge sensor is disposed proximate to and spaced from the end of the inlet air induction device by a second set distance.
  6. 6. The excess temperature detection system of claim 4 wherein the length of the intake air sensing device is less than or equal to one half the width of the intake air inlet; The width of the air inlet induction device is less than or equal to one eighth of the length of the air inlet; The thickness of the mounting substrate is greater than or equal to 4mm.
  7. 7. The over-temperature detection system according to claim 1, wherein the data processing unit is further configured to: and after determining the heat dissipation fault reason of the centralized photovoltaic inverter, controlling the centralized photovoltaic inverter to send out corresponding heat dissipation fault reminding.
  8. 8. The excess temperature detection system of claim 1, wherein the temperature detection unit comprises: a first temperature detection module arranged at the IGBT unit, and The second temperature detection module is arranged at the radiator.
  9. 9. A centralized photovoltaic inverter as described in any one of claims 1 to 8, comprising an over-temperature detection system.
  10. 10. The over-temperature detection method applied to the centralized photovoltaic inverter according to claim 9, characterized in that the over-temperature detection method comprises: Judging whether the first temperature data of the IGBT unit and the real-time running power of the centralized photovoltaic inverter meet a first preset condition or not so as to determine whether the temperature rise of the IGBT unit is normal or not; if the first preset condition is met, judging that the temperature rise of the IGBT unit is normal, and the heat dissipation of the centralized photovoltaic inverter is normal; if the first preset condition is not met, judging that the temperature rise of the IGBT unit is abnormal, and judging that the heat dissipation of the centralized photovoltaic inverter is abnormal, and judging whether the real-time rotating speed of the exhaust fan meets a second preset condition or not at the moment so as to determine whether the exhaust fan operates normally or not; if the second preset condition is not met, judging that the exhaust fan operates abnormally; If the second preset condition is met, judging that the exhaust fan normally operates, and judging whether the real-time air inlet data and the comparative air inlet data of the air inlet meet a third preset condition or not at the moment so as to determine whether the air inlet is blocked or not; If the third preset condition is not met, judging that the air inlet is blocked; If the third preset condition is met, judging that the air inlet is not blocked, and judging whether the second temperature data of the radiator meets a fourth preset condition or not at the moment so as to determine whether the temperature rise of the radiator is normal or not; if the fourth preset condition is not met, judging that the temperature rise of the radiator is abnormal, and the radiator operates abnormally; And if the fourth preset condition is met, judging that the temperature rise of the radiator is normal, and ageing the silicone grease between the radiator and the IGBT unit.

Description

Over-temperature detection system, centralized photovoltaic inverter and over-temperature detection method Technical Field The invention belongs to the technical field of centralized photovoltaic inverters, and particularly relates to an over-temperature detection system, a centralized photovoltaic inverter and an over-temperature detection method. Background During operation of the centralized photovoltaic inverter, the power semiconductor devices (e.g., IGBTs, MOSFETs) generate a significant amount of heat. Researches show that when the internal temperature of the centralized photovoltaic inverter rises by 10 ℃, the failure rate of electronic elements is doubled, and the service life of equipment is directly influenced. Generally, a heat dissipation system of a centralized photovoltaic inverter comprises a radiator, an air inlet, an exhaust fan and the like, and when the heat dissipation system cannot timely exhaust heat, equipment triggers an over-temperature protection mechanism and enters a derating running state. The method is characterized in that under the condition of the ambient temperature of 45 ℃, the output power of some concentrated photovoltaic inverters with poor heat dissipation can be reduced by 20% from a rated value, so that the generated energy is obviously lost. Therefore, how to quickly and accurately determine the heat dissipation failure cause of the centralized photovoltaic inverter is particularly important for the normal operation of the equipment. Disclosure of Invention The invention provides an over-temperature detection system, which aims to solve the technical problem of how to quickly and accurately determine the heat dissipation failure cause of a centralized photovoltaic inverter. The invention is realized in that an over-temperature detection system for a centralized photovoltaic inverter comprises: The air inlet detection mechanism is arranged at an air inlet of the centralized photovoltaic inverter and is used for detecting real-time air inlet data at the air inlet, and the real-time air inlet data at least comprises air inlet speed and air inlet form; The temperature detection unit is used for detecting first temperature data at an IGBT unit of the centralized photovoltaic inverter and second temperature data at a radiator in real time, and The data processing unit is electrically connected with the air inlet detection mechanism and the temperature detection unit respectively and is used for: Receiving the real-time air inlet data, the first temperature data and the second temperature data, and acquiring real-time running power of the centralized photovoltaic inverter, real-time rotating speed of an exhaust fan and comparison air inlet data, wherein the comparison air inlet data is obtained by performing machine learning training on the normal air inlet data and/or different air inlet data under different heat dissipation fault reasons; performing multi-mode data fusion processing on the BP neural network by the real-time air inlet data, the first temperature data, the second temperature data, the real-time operating power, the real-time rotating speed and the comparative air inlet data, and And determining whether the centralized photovoltaic inverter is over-heated according to the processing result, and determining a heat dissipation failure cause causing the over-temperature. Still further, the air inlet detection mechanism includes: The shape of the mounting frame is matched with the shape of the air inlet; The mounting base plate is arranged transversely or longitudinally across the middle of the mounting frame; The air inlet detection modules are arranged on two sides of the mounting substrate and form an air inlet detection area, the area of the air inlet detection area is at least 80% of the area of the air inlet, the air inlet detection modules can deform under the action of wind power and output deformation degree as deformation data, and the air inlet detection modules are used for detecting the air inlet of the air conditioner and the air conditioner The data acquisition module is electrically connected with the data processing unit and the air inlet detection modules, and is used for acquiring a plurality of groups of deformation data of the air inlet detection modules, converting the deformation data into real-time air inlet data and transmitting the real-time air inlet data to the data processing unit. Still further, the air intake detection module includes: The front end of the air inlet sensing device is arranged on the mounting substrate, the tail end extends towards the outer side of the mounting frame and is spaced a first set distance from the edge of the mounting frame, the air inlet sensing device can deform under the action of wind force, and The strain gauge sensor is arranged on the air inlet sensing device and is electrically connected with the data acquisition module, and the strain gauge sensor is used for detecting the deformation degree