Photovoltaic energy storage high-efficiency energy conversion system and method

Abstract

The embodiment of the invention discloses a photovoltaic energy storage efficient energy conversion system and method. The system comprises an illumination detection unit, a prediction algorithm unit and a heat management unit. The illumination detection unit is used for detecting an illumination intensity weakening condition; the prediction algorithm unit is used for predicting the heat variable quantity of the photovoltaic energy storage equipment according to the illumination weakening condition and adjusting the maximum power point of the photovoltaic power generation equipment according to the heat variable quantity; and the heat management unit is used for adjusting the output power according to the heat variable quantity. The energy conversion efficiency of the photovoltaic energy storage equipment can be improved, and the loss is reduced.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of photovoltaic energy storage technology, and in particular to a photovoltaic energy storage high-efficiency energy conversion system and method. Background Art

[0002] In current photovoltaic energy storage systems, energy conversion efficiency is affected by many factors, such as the limitations of energy conversion algorithms, imperfections in thermal management systems, and energy losses in circuit design. In existing technologies, energy conversion efficiency is generally low, especially when photovoltaic power generation fluctuates greatly, the stability and reliability of the system face challenges. For example, in cloudy weather or at night, photovoltaic power generation efficiency is reduced, resulting in low conversion efficiency of photovoltaic energy storage equipment, which leads to energy waste and increased operating costs. Summary of the invention

[0003] The embodiments of the present application provide a photovoltaic energy storage high-efficiency energy conversion system and method to improve the energy conversion efficiency of photovoltaic energy storage equipment and reduce losses.

[0004] In a first aspect, an embodiment of the present application provides a photovoltaic energy storage and high-efficiency energy conversion system, characterized in that the system includes a light detection unit, a prediction algorithm unit, and a heat management unit; The light detection unit is used to detect the weakening of light intensity; The prediction algorithm unit is used to predict the heat change of the photovoltaic energy storage device according to the light weakening situation, and adjust the maximum power point of the photovoltaic power generation device according to the heat change; The heat management unit is used to adjust the output power according to the heat change.

[0005] In some possible implementations, the prediction algorithm unit is further configured to predict the heat change amount according to the light attenuation condition and the maximum power point.

[0006] In some possible implementations, the system further includes a temperature detection unit; The temperature detection unit is used to detect the temperature of the photovoltaic energy storage device; The heat management unit is used to adjust the output power according to the temperature of the photovoltaic energy storage device.

[0007] In some possible implementations, the system further includes a photovoltaic detection unit and an MPPT processing unit; The photovoltaic detection unit is used to detect electrical information and environmental information of the photovoltaic power generation equipment; The MPPT processing unit is used to optimize the rate of tracking the maximum power point according to the electrical information and environmental information.

[0008] In some possible implementations, the photovoltaic power generation device uses silicon carbide MOSFET as a switching device, and the photovoltaic energy storage device uses an AC-DC gallium nitride integrated chip.

[0009] In a second aspect, an embodiment of the present application provides a photovoltaic energy storage high-efficiency energy conversion method, which is applied to a photovoltaic energy storage high-efficiency energy conversion system, wherein the system includes a light detection unit, a prediction algorithm unit, and a heat management unit, and is characterized in that the method includes: The light detection unit detects a weakening of light intensity; The prediction algorithm unit predicts the heat change of the photovoltaic energy storage device according to the light weakening condition, and adjusts the maximum power point of the photovoltaic power generation device according to the heat change; The heat management unit adjusts the output power according to the heat variation.

[0010] In some possible implementations, the heat change is obtained by the following steps: The prediction algorithm unit predicts the heat change according to the light reduction condition and the maximum power point.

[0011] In some possible implementations, the system further includes a temperature detection unit, and the method further includes: The temperature detection unit detects the temperature of the photovoltaic energy storage device; The thermal management unit adjusts the output power according to the temperature of the photovoltaic energy storage device.

[0012] In some possible implementations, the system further includes a photovoltaic detection unit and an MPPT processing unit, and the method further includes: The photovoltaic detection unit detects electrical information and environmental information of the photovoltaic power generation equipment; The MPPT processing unit optimizes the rate of tracking the maximum power point according to the electrical information and environmental information.

[0013] In some possible implementations, the photovoltaic power generation device uses silicon carbide MOSFET as a switching device, and the photovoltaic energy storage device uses an AC-DC gallium nitride integrated chip.

[0014] The beneficial effects of this application are: The embodiment of the present application is to set up a photovoltaic energy storage high-efficiency energy conversion system including a light detection unit, a prediction algorithm unit and a heat management unit, wherein the light detection unit is used to detect the weakening of light intensity, the prediction algorithm unit is used to predict the heat change of the photovoltaic energy storage device according to the weakening of light intensity, and adjust the maximum power point of the photovoltaic power generation device according to the heat change, and the heat management unit is used to adjust the output power according to the heat change, thereby achieving the technical effect of improving the energy conversion efficiency of the photovoltaic energy storage device and reducing the loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 is a schematic diagram of a photovoltaic energy storage and high-efficiency energy conversion system provided in an embodiment of the present application; Figure 2 It is a flow chart of the photovoltaic energy storage and high-efficiency energy conversion system provided in the embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described in detail by way of implementation methods with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0018] It should be noted that: in the accompanying drawings, the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions; in the description of the present application, the terms "center", "longitudinal", "lateral", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the scope of protection of the present application; in the description of the present application, "first", "second", etc. are only used to distinguish each other, rather than to indicate their importance and order, etc.

[0019] In the description of this application, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a movable connection, or a detachable connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal communication of two components, etc. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] The embodiment of the present application provides a photovoltaic energy storage and high-efficiency energy conversion system, which includes a light detection unit 110, a prediction algorithm unit 120 and a heat management unit 130; The light detection unit 110 is used to detect the weakening of light intensity; The prediction algorithm unit 120 is used to predict the heat change of the photovoltaic energy storage device according to the weakening of light, and adjust the maximum power point of the photovoltaic power generation device according to the heat change; The heat management unit 130 is used to adjust the output power according to the amount of heat change.

[0021] When installing the system, since the transmission loss of electric energy is proportional to the transmission distance, the photovoltaic energy storage device is set near the photovoltaic power generation device to reduce the transmission loss. Therefore, the photovoltaic energy storage device and the photovoltaic power generation device can be equivalently regarded as being roughly under the same lighting conditions. The light detection unit 110 can include multiple light sensors corresponding to the photovoltaic panels to improve the detection accuracy. The prediction algorithm unit 120 can use time series analysis combined with machine learning algorithms to process the collected light intensity and other data, predict the trend of light intensity changes in the future, and provide forward-looking guidance for energy conversion strategies.

[0022] Specifically, when the light intensity is monitored to be gradually weakened in the afternoon, the prediction algorithm unit 120 will predict the change in the amount of heat from the sunlight to the photovoltaic energy storage device in the subsequent period compared to the amount of heat before the weakening according to the weakening of the light intensity, and adjust the maximum power point of the photovoltaic power generation equipment based on this heat change, so that the photovoltaic power generation equipment can control and increase the output power when the light intensity is weakened, and will not affect the normal operation of the photovoltaic energy storage equipment due to the increase in output efficiency and the temperature rise. The system can maintain relatively efficient energy conversion in environmental changes, thereby improving the overall photovoltaic energy storage efficiency. The thermal management unit 130 can adjust the output power according to the predicted heat change to reduce the energy consumption of the thermal management unit 130.

[0023] In some possible implementations, the prediction algorithm unit 120 is further configured to predict the amount of heat change according to the illumination reduction and the maximum power point. The prediction algorithm unit 120 adjusts the maximum power point while continuing to perform dynamic analysis using it as feedback, and can better adjust according to the actual output power to enhance the prediction accuracy of the prediction algorithm unit 120.

[0024] In some possible implementations, the system further includes a temperature detection unit 140; The temperature detection unit 140 is used to detect the temperature of the photovoltaic energy storage device; The heat management unit 130 is used to adjust the output power according to the temperature of the photovoltaic energy storage device.

[0025] Specifically, high-precision temperature sensors can be placed at key locations of photovoltaic energy storage equipment to collect temperature data in real time. The thermal management unit can use a PID (proportional-integral-differential) control algorithm to accurately control the temperature of the photovoltaic energy storage unit to keep the energy storage element within the optimal operating temperature range, thereby reducing energy loss caused by temperature fluctuations.

[0026] In some possible implementations, the system further includes a photovoltaic detection unit 150 and an MPPT processing unit 160; The photovoltaic detection unit 150 is used to detect electrical information and environmental information of the photovoltaic power generation equipment; The MPPT processing unit 160 is used to optimize the rate of tracking the maximum power point according to the electrical information and environmental information.

[0027] In some possible implementations, the photovoltaic power generation device uses silicon carbide MOSFET as a switching device, and the photovoltaic energy storage device uses AC-DC gallium nitride integrated chip. Compared with traditional silicon-based MOSFET, silicon carbide MOSFET has lower on-resistance and higher switching frequency, thereby significantly reducing switching losses. In terms of circuit layout, a multi-layer PCB design can be used to effectively reduce electromagnetic interference. In addition, by using AC-DC gallium nitride integrated chips, not only the number of circuit elements is reduced, but also the loss caused by connection is reduced. The overall energy conversion efficiency of the system has been significantly improved, which ultimately not only improves the efficiency of the system, but also enhances the reliability and stability of the system.

[0028] The embodiment of the present application also provides a photovoltaic energy storage high-efficiency energy conversion method, which is applied to a photovoltaic energy storage high-efficiency energy conversion system. The system includes a light detection unit, a prediction algorithm unit and a heat management unit. The method includes: Step 210: The light detection unit detects whether the light intensity is weakened.

[0029] Step 220: The prediction algorithm unit predicts the heat change of the photovoltaic energy storage device according to the weakening of light, and adjusts the maximum power point of the photovoltaic power generation device according to the heat change.

[0030] Step 230: The thermal management unit adjusts the output power according to the amount of heat change.

[0031] In some possible implementations, the heat change is obtained by the following steps: Step 211: The prediction algorithm unit predicts the amount of heat change according to the light reduction condition and the maximum power point.

[0032] In some possible implementations, the system further includes a temperature detection unit, and the method further includes: Step 231: The temperature detection unit detects the temperature of the photovoltaic energy storage device.

[0033] Step 232: The thermal management unit adjusts the output power according to the temperature of the photovoltaic energy storage device.

[0034] In some possible implementations, the system further includes a photovoltaic detection unit and an MPPT processing unit, and the method further includes: Step 240: The photovoltaic detection unit detects electrical information and environmental information of the photovoltaic power generation equipment.

[0035] Step 250: The MPPT processing unit optimizes the rate of tracking the maximum power point according to the electrical information and the environmental information.

[0036] In some possible implementations, the photovoltaic power generation device uses silicon carbide MOSFET as a switching device, and the photovoltaic energy storage device uses an AC-DC gallium nitride integrated chip.

[0037] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program code. When the computer program code is executed on a computer, the computer executes a method of any possible implementation method in the above embodiments.

[0038] An embodiment of the present application further provides a computer program product, which includes: a computer program code, which, when executed on a computer, enables the computer to execute a method as any possible implementation method of the first aspect or the second aspect.

[0039] The embodiment of the present application also provides a computer program. When the computer program code is executed on a computer, the computer executes a method of any possible implementation method in any of the aforementioned embodiments.

[0040] Those skilled in the art should be aware that in one or more of the above examples, the functions described in the embodiments of the present application can be implemented with hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein the communication media include any media that facilitates the transmission of a computer program from one place to another. The storage medium can be any available medium that a general or special-purpose computer can access.

[0041] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A photovoltaic energy storage and high-efficiency energy conversion system, characterized in that: The system includes a light detection unit, a prediction algorithm unit and a heat management unit; The light detection unit is used to detect the weakening of light intensity; The prediction algorithm unit is used to predict the heat change of the photovoltaic energy storage device according to the light weakening situation, and adjust the maximum power point of the photovoltaic power generation device according to the heat change; The heat management unit is used to adjust the output power according to the heat change.

2. The photovoltaic energy storage and high-efficiency energy conversion system according to claim 1 is characterized in that: The prediction algorithm unit is also used to predict the heat change according to the light reduction condition and the maximum power point.

3. The photovoltaic energy storage and high-efficiency energy conversion system according to claim 2 is characterized in that: The system also includes a temperature detection unit; The temperature detection unit is used to detect the temperature of the photovoltaic energy storage device; The heat management unit is used to adjust the output power according to the temperature of the photovoltaic energy storage device.

4. The photovoltaic energy storage and high-efficiency energy conversion system according to claim 1 is characterized in that: The system also includes a photovoltaic detection unit and an MPPT processing unit; The photovoltaic detection unit is used to detect electrical information and environmental information of the photovoltaic power generation equipment; The MPPT processing unit is used to optimize the rate of tracking the maximum power point according to the electrical information and environmental information.

5. The photovoltaic energy storage and high-efficiency energy conversion system according to claim 1 is characterized in that: The photovoltaic power generation equipment uses silicon carbide MOSFET as a switching device, and the photovoltaic energy storage equipment uses an AC-DC gallium nitride integrated chip.

6. A photovoltaic energy storage high-efficiency energy conversion method, applied to a photovoltaic energy storage high-efficiency energy conversion system, the system comprising a light detection unit, a prediction algorithm unit and a heat management unit, characterized in that: The method comprises: The light detection unit detects a weakening of light intensity; The prediction algorithm unit predicts the heat change of the photovoltaic energy storage device according to the light weakening condition, and adjusts the maximum power point of the photovoltaic power generation device according to the heat change; The heat management unit adjusts the output power according to the heat variation.

7. The photovoltaic energy storage and high-efficiency energy conversion method according to claim 6 is characterized in that: The heat change is obtained by the following steps: The prediction algorithm unit predicts the heat change according to the light reduction condition and the maximum power point.

8. The photovoltaic energy storage and high-efficiency energy conversion method according to claim 7, wherein the system further comprises a temperature detection unit, characterized in that: The method further comprises: The temperature detection unit detects the temperature of the photovoltaic energy storage device; The thermal management unit adjusts the output power according to the temperature of the photovoltaic energy storage device.

9. The photovoltaic energy storage and high-efficiency energy conversion method according to claim 6, wherein the system further comprises a photovoltaic detection unit and an MPPT processing unit, characterized in that: The method further comprises: The photovoltaic detection unit detects electrical information and environmental information of the photovoltaic power generation equipment; The MPPT processing unit optimizes the rate of tracking the maximum power point according to the electrical information and environmental information.

10. The photovoltaic energy storage and high-efficiency energy conversion method according to claim 6, characterized in that: The photovoltaic power generation equipment uses silicon carbide MOSFET as a switching device, and the photovoltaic energy storage equipment uses an AC-DC gallium nitride integrated chip.

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