An environment-based photovoltaic system power generation mode intelligent regulation method and system and medium

Abstract

The present application relates to the field of photovoltaic technology, and more particularly to a photovoltaic system power generation mode intelligent regulation method based on environment, a computer readable storage medium and a photovoltaic system. The photovoltaic system power generation mode intelligent regulation method based on environment collects the total power generation and the lower limit value of power generation, and the total power consumption and the peak value of power consumption, compares the power generation data and the power consumption data, and regulates the power generation mode of the photovoltaic system according to the lower limit value of power generation and the peak value of power consumption, and the cross comparison result of the total power generation and the total power consumption, so that the power generation mode can be regulated while fully considering the relationship between production needs and energy economic costs.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic technology, and in particular to an intelligent control method for the power generation mode of an environment-based photovoltaic system, a computer-readable storage medium, and a photovoltaic system. Background Technology

[0002] The construction of charging infrastructure such as electric vehicle photovoltaic charging stations has received widespread attention, and the gradual reduction in the prices of raw materials and components has led to the rapid development of distributed photovoltaic projects in rural areas. However, charging in rural areas is scattered, and the operation of electric vehicle photovoltaic charging stations faces challenges from various aspects, including uneven charging demand in time and space, and the variability, randomness, and intermittency of photovoltaic power generation. In some concentrated agricultural areas, there is a large distance between residential and agricultural work areas. Therefore, in addition to deploying small-scale household photovoltaic systems in densely populated residential areas, centralized photovoltaic power generation facilities are often built on water surfaces such as reservoirs, lakes, and rivers that do not occupy the work areas. Centralized photovoltaic power generation facilities on water surfaces utilize the buoyancy of sealed pipe sections in the water to construct floating supports, with multiple photovoltaic modules mounted on the floating supports, and all photovoltaic modules forming a photovoltaic system. However, due to the uneven power generation of photovoltaic power generation affected by the sunlight environment, and the lack of technical personnel in rural areas who can professionally control the power generation mode of photovoltaic systems, the selection of power generation mode for centralized photovoltaic power generation facilities often fails to achieve the effect of balancing production and energy cost control. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent control method for the power generation mode of a photovoltaic system based on the environment, which can control the power generation mode while fully considering the relationship between production needs and energy economic costs.

[0004] To address the aforementioned technical problems, in a first aspect, the present invention provides an intelligent control method for the power generation modes of a photovoltaic system based on the environment. The power generation modes include self-consumption, self-consumption with surplus power fed into the grid, and full grid connection, comprising the following steps:

[0005] The power generation acquisition step involves acquiring power generation data of the photovoltaic system within a first preset time period, wherein the power generation data includes the total power generation and the lower limit of power generation.

[0006] The electricity consumption acquisition step involves acquiring electricity consumption data for the second preset time period in the work area, including total electricity consumption and peak electricity consumption.

[0007] The power generation mode control step involves comparing the power generation data and the power consumption data, and adjusting the power generation mode of the photovoltaic system based on the comparison result; that is:

[0008] If the lower limit of power generation is greater than the peak power consumption, and the total power generation is greater than the total power consumption to the preset level A, the power generation mode will be adjusted to full grid connection.

[0009] If the lower limit of power generation is greater than the peak power consumption, and the total power generation is greater than the total power consumption reaching the preset level B but less than the preset level A, the power generation mode will be adjusted to self-consumption and surplus power fed into the grid.

[0010] If the lower limit of power generation is less than the peak power consumption, and the total power generation is greater than or equal to the total power consumption, the power generation mode will be adjusted to self-consumption with surplus power fed into the grid.

[0011] If the lower limit of power generation is less than the peak power consumption, and the total power generation is less than the total power consumption to a preset level C, the power generation mode will be adjusted to self-generation and self-consumption.

[0012] Furthermore, historical electricity consumption data of the work areas in the region where the photovoltaic system is located that have an electricity consumption relationship with the photovoltaic system are obtained, and the change data of electricity consumption of the photovoltaic system to each work area within the region over time are calculated to construct the photovoltaic electricity consumption curve of each work area over time; the photovoltaic power generation curve of the photovoltaic system over time is obtained; the cumulative value of the photovoltaic electricity consumption curve of each work area over time over the same period of time is compared with the value of the photovoltaic power generation curve of the photovoltaic system, and the deviation between the two values ​​is calculated. If the deviation is less than the threshold M, the frequency of adjusting the power generation mode in the power generation mode control step is reduced.

[0013] Furthermore, reducing the frequency of power generation mode control in the power generation mode control step means: using the absolute value of the deviation as an adjustment ratio to increase the preset degree A, increase the preset degree B, and decrease the preset degree C.

[0014] Furthermore, if the deviation is greater than the threshold N, and the threshold N is greater than the threshold M, then the frequency of adjusting the power generation mode in the power generation mode control step is increased.

[0015] Furthermore, the first preset time period is the earlier time period, and the second preset time period is the later time period.

[0016] Furthermore, the first preset time period and the second preset time period are consecutive.

[0017] Furthermore, time-of-use billing data is obtained, and electricity tariffs are calculated based on the time-of-use billing data. If the electricity tariff is lower than the threshold, the power generation mode is adjusted to full grid connection when the lower limit of power generation is greater than the peak value of electricity consumption and the total power generation is greater than the total electricity consumption to a preset level A.

[0018] Furthermore, the time-of-use billing data is pre-acquired grid billing information for the area where the photovoltaic system is located.

[0019] Secondly, the present invention provides a computer-readable storage medium having an executable computer program stored thereon, which, when executed, implements the above-described intelligent control method for the power generation mode of an environment-based photovoltaic system.

[0020] Thirdly, the present invention provides a photovoltaic system, including a processor and a computer-readable storage medium, the computer-readable storage medium being as described above, wherein the processor executes a computer program in the computer-readable storage medium to realize the above-described intelligent control method for the power generation mode of the environment-based photovoltaic system.

[0021] Beneficial Effects: This environmentally-based intelligent control method for photovoltaic system power generation modes collects the total power generation and lower limit of power generation, as well as the total electricity consumption and peak electricity consumption. By comparing the power generation and consumption data, the method adjusts the power generation mode of the photovoltaic system based on the comparison results. Specifically, if the lower limit of power generation is greater than the peak electricity consumption, and the total power generation is greater than the total electricity consumption to a preset level A, the power generation mode is adjusted to full grid connection. If the lower limit of power generation is greater than the peak electricity consumption, and the total power generation is greater than the total electricity consumption to a preset level B but less than the preset level A, the power generation mode is adjusted to self-consumption with surplus electricity fed to the grid. If the lower limit of power generation is less than the peak electricity consumption, and the total power generation is greater than or equal to the total electricity consumption, the power generation mode is adjusted to self-consumption with surplus electricity fed to the grid. If the lower limit of power generation is less than the peak electricity consumption, and the total power generation is less than the total electricity consumption to a preset level C, the power generation mode is adjusted to self-consumption. This environment-based intelligent control method for photovoltaic system power generation modes obtains a better combination of power generation modes by cross-comparing the lower limit of power generation with the peak power consumption and the total power generation with the total power consumption. It can control the power generation mode while fully considering the relationship between production needs and energy economic costs. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating the intelligent control method for the power generation mode of a photovoltaic system based on the environment according to the present invention. Detailed Implementation

[0023] The present invention will be further described in detail below with reference to specific embodiments.

[0024] The intelligent control method for photovoltaic system power generation modes based on the environment in this embodiment includes power generation modes such as self-consumption, self-consumption with surplus power fed into the grid, and full grid connection.

[0025] Self-consumption: The electricity generated by centralized photovoltaic power generation facilities is used by the operating area itself. This model is suitable for operations that require long-term and continuous power supply, such as flower cultivation greenhouses, which have a large electricity demand and can fully or mostly consume the electricity generated by centralized photovoltaic power generation facilities.

[0026] The system is self-consumed and surplus electricity is fed into the grid. The operating area only uses a portion of the electricity generated by the centralized photovoltaic power generation facilities, and the remaining electricity is fed into the power system.

[0027] With full grid connection, the power generation time of centralized photovoltaic power generation facilities does not match the power consumption time of the operating area, while the power consumption time cost of the operating area is low, and the electricity can be obtained entirely from the grid.

[0028] This environment-based intelligent control method for photovoltaic system power generation modes includes, for example: Figure 1 The following steps are shown.

[0029] The power generation acquisition step involves acquiring power generation data of the photovoltaic system within a first preset time period. The power generation data includes the total power generation and the lower limit of power generation.

[0030] The electricity consumption acquisition step involves acquiring electricity consumption data for the second preset time period in the work area. The electricity consumption data includes total electricity consumption and peak electricity consumption.

[0031] In this embodiment, the first preset time period is the preceding time period, and the second preset time period is the continuous time period following the first preset time period. That is, the electricity consumption data in this embodiment consumes the electrical energy corresponding to the power generation data.

[0032] The power generation mode control steps involve comparing power generation data and electricity consumption data, and adjusting the power generation mode of the photovoltaic system based on the comparison results. Specifically, by cross-comparing the lower limit of power generation with the peak electricity consumption, and the total power generation with the total electricity consumption, a better combination of power generation modes is obtained, as explained below:

[0033] If the lower limit of power generation is greater than the peak power consumption, and the total power generation is greater than the total power consumption to the preset level A, the power generation mode will be adjusted to full grid connection.

[0034] If the lower limit of power generation is greater than the peak power consumption, and the total power generation is greater than the total power consumption reaching the preset level B but less than the preset level A, the power generation mode will be adjusted to self-consumption and surplus power fed into the grid.

[0035] If the lower limit of power generation is less than the peak power consumption, and the total power generation is greater than or equal to the total power consumption, the power generation mode will be adjusted to self-consumption with surplus power fed into the grid.

[0036] If the lower limit of power generation is less than the peak power consumption, and the total power generation is less than the total power consumption to a preset level C, the power generation mode will be adjusted to self-generation and self-consumption.

[0037] This environmentally-based intelligent control method for photovoltaic system power generation modes collects the total power generation and lower limit of power generation, as well as the total electricity consumption and peak electricity consumption. By comparing the power generation data and electricity consumption data, the optimal power generation mode combination is obtained, and the power generation mode of the photovoltaic system is intelligently controlled accordingly. This method can regulate the power generation mode while fully considering the relationship between production needs and energy economic costs.

[0038] In the power generation mode control step of this embodiment, historical electricity consumption data of the work areas in the region where the photovoltaic system is located and which have an electricity consumption relationship with the photovoltaic system are obtained. The change in electricity consumption of the photovoltaic system for each work area within the region over time is calculated, and a photovoltaic electricity consumption curve for each work area over time is constructed. The photovoltaic power generation curve of the photovoltaic system over time is also obtained. The cumulative value of the photovoltaic electricity consumption curves of each work area over time within the same time period is compared with the value of the photovoltaic power generation curve of the photovoltaic system. The deviation between the two values ​​is calculated. If the deviation is less than a threshold M, such as 10%, it indicates that the current supply capacity of the photovoltaic system is changing significantly, and the power generation mode is changing frequently, which is not conducive to the operation of the photovoltaic system. Therefore, the absolute value of the deviation is used as an adjustment ratio to increase the preset degree A, increase the preset degree B, and decrease the preset degree C, thereby reducing the frequency of power generation mode control in the power generation mode control step. Conversely, if the deviation is greater than a threshold N (threshold N is greater than threshold M), such as 40%, it indicates that the current supply capacity of the photovoltaic system is changing less significantly, and the power supply is either consistently sufficient or consistently insufficient. In this case, the frequency of power generation mode control in the power generation mode control step is increased.

[0039] In the power generation mode control step of this embodiment, time-of-use billing data is obtained, and electricity tariffs are calculated based on the time-of-use billing data. If the electricity tariff is lower than a preset level, it will be given priority. The time-of-use billing data is the grid billing information of the area where the photovoltaic system is located, which is obtained in advance.

[0040] The photovoltaic system described in this embodiment includes a solar charging panel, a transformer box, a processor, and a computer-readable storage medium. The surface of the solar charging panel is covered with photovoltaic modules. The solar charging panel has a power supply interface. When the photovoltaic modules receive solar energy, they generate electrical energy and supply power to the outside through the power supply interface. The transformer box has a power take-off interface, an energy storage device, and a power supply slot. One end of a transfer cable is electrically connected to the power supply interface of the solar charging panel, and the other end is electrically connected to the power take-off interface of the transformer box. The electrical energy generated by the photovoltaic modules is transmitted from the power supply interface of the solar charging panel to the power take-off interface of the transformer box via the transfer cable. The transformer box then takes power from the power take-off interface and stores it in the energy storage device. When an electrical device needs power, the device's plug is inserted into the power supply slot, and the transformer box can supply power to the device through the power supply slot. The computer-readable storage medium of the photovoltaic system stores an executable photovoltaic power generation control program (i.e., a computer program). The processor runs the photovoltaic power generation control program to realize the above-described intelligent control method for the power generation mode of the environment-based photovoltaic system.

[0041] The above are merely embodiments of the present invention and are not intended to limit the scope of patent protection. Any non-substantial changes or substitutions made by those skilled in the art based on the present invention will still fall within the scope of patent protection.

Claims

1. An intelligent control method for photovoltaic system power generation modes based on the environment, wherein the power generation modes include self-consumption, self-consumption with surplus power fed into the grid, and full grid connection, characterized by: Includes the following steps: The power generation acquisition step involves acquiring power generation data of the photovoltaic system within a first preset time period, wherein the power generation data includes the total power generation and the lower limit of power generation. The electricity consumption acquisition step involves acquiring electricity consumption data for the second preset time period in the work area, including total electricity consumption and peak electricity consumption. The first preset time period is the preceding time period, and the second preset time period is the following time period; the first preset time period and the second preset time period are consecutive. The power generation mode control step involves comparing the power generation data and the power consumption data, and adjusting the power generation mode of the photovoltaic system based on the comparison result; that is: If the lower limit of power generation is greater than the peak power consumption, and the total power generation is greater than the total power consumption to the preset level A, the power generation mode will be adjusted to full grid connection. If the lower limit of power generation is greater than the peak power consumption, and the total power generation is greater than the total power consumption reaching the preset level B but less than the preset level A, the power generation mode will be adjusted to self-consumption and surplus power fed into the grid. If the lower limit of power generation is less than the peak power consumption, and the total power generation is greater than or equal to the total power consumption, the power generation mode will be adjusted to self-consumption with surplus power fed into the grid. If the lower limit of power generation is less than the peak power consumption, and the total power generation is less than the total power consumption to a preset level C, the power generation mode will be adjusted to self-generation and self-consumption. Historical electricity consumption data of work areas within the region where the photovoltaic system is located that have an electricity consumption relationship with the photovoltaic system are obtained. The electricity consumption of the photovoltaic system for each work area within the region is calculated over time to construct a photovoltaic electricity consumption curve for each work area over time. The photovoltaic power generation curve of the photovoltaic system over time is obtained. The cumulative value of the photovoltaic electricity consumption curves of each work area over time within the same time period is compared with the value of the photovoltaic power generation curve of the photovoltaic system. The deviation between the two values ​​is calculated. If the deviation is less than a threshold M, the frequency of adjusting the power generation mode in the power generation mode control step is reduced. Reducing the frequency of adjusting the power generation mode in the power generation mode control step means: using the absolute value of the deviation as an adjustment ratio, increasing the preset degree A, increasing the preset degree B, and decreasing the preset degree C.

2. The intelligent control method for photovoltaic system power generation mode based on the environment as described in claim 1, characterized in that, If the deviation is greater than the threshold N, and the threshold N is greater than the threshold M, then the frequency of adjusting the power generation mode in the power generation mode control step is increased.

3. The intelligent control method for photovoltaic system power generation mode based on the environment as described in claim 1, characterized in that, Obtain time-of-use billing data, calculate electricity tariffs based on the time-of-use billing data, and if the electricity tariff is lower than the threshold, then the power generation mode will be adjusted to full grid connection when the lower limit of power generation is greater than the peak value of electricity consumption and the total power generation is greater than the total electricity consumption to a preset level A.

4. The intelligent control method for photovoltaic system power generation mode based on the environment as described in claim 3, characterized in that, The time-of-use billing data is pre-acquired grid billing information for the area where the photovoltaic system is located.

5. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it can realize the intelligent control method for the power generation mode of the photovoltaic system based on any one of claims 1 to 4.

6. A photovoltaic system, including a processor, characterized in that, It also includes the computer-readable storage medium as described in claim 5, wherein the computer program on the computer-readable storage medium is executable by a processor.

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