Micro-energy storage type low-voltage treatment device and rural power grid matched photovoltaic consumption control method

Abstract

The invention relates to the technical field of rural power grid photovoltaic consumption, and discloses a micro energy storage type low-voltage treatment device matched rural power grid photovoltaic consumption control method. According to the micro-energy storage type low-voltage treatment device matched with the rural power grid photovoltaic consumption control method, whether the voltage of the rural power grid is stable or not is judged by obtaining real-time monitored voltage data and current data of the rural power grid and the generating capacity of a photovoltaic module and respectively calculating a generated voltage fluctuation value, and the power in the period of the rural power grid is calculated; the rural power grid net load is calculated according to the power in the rural power grid period and the generating capacity of the photovoltaic module, and the rural power grid net load and the voltage fluctuation are combined to judge whether grid connection processing needs to be carried out on the electric energy generated by power generation of the photovoltaic module or whether the electric energy generated by power generation of the photovoltaic module needs to be stored; therefore, the power generation shouting electric energy of the photovoltaic module can be reasonably regulated and controlled according to the fluctuation of the voltage and the frequency of the power grid, and the absorption capability and the utilization efficiency of the photovoltaic electric energy are effectively utilized.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power consumption in rural power grids, and in particular to a micro-energy storage type low voltage management device in combination with a photovoltaic power consumption control method in rural power grids. Background Art

[0002] Rural grid photovoltaic consumption refers to the process of consuming and utilizing the electricity generated by photovoltaic power generation systems distributed in rural power grids. With the promotion of renewable energy, there are more and more photovoltaic power generation devices in rural areas. These distributed power generation systems convert solar energy into electricity by installing photovoltaic panels on roofs or other idle land in rural areas. This power generation mode can not only provide farmers with a stable power supply, but also upload excess electricity to the power grid to increase farmers' income. However, due to the relatively weak rural power grid, the carrying capacity and dispatching capacity of the power grid limit the consumption of photovoltaic power. Therefore, it is necessary to upgrade and transform the power grid technology to improve the absorption capacity of the power grid. At the same time, the government also needs to introduce relevant policies and subsidy measures to encourage the application of photovoltaic power generation, and improve the efficiency of electricity use and maximize the utilization rate of photovoltaic power through smart grid technologies such as energy storage and demand-side management. Effective photovoltaic consumption can not only promote the sustainable development of energy, but also improve the level of rural electrification and the quality of economic development. Through reasonable planning and layout, optimizing power dispatching and the connection between urban and rural power grids, efficient utilization of photovoltaic power can be achieved, contributing to the realization of the "dual carbon" goal.

[0003] At present, the photovoltaic absorption control of rural power grid lacks an intelligent dispatching system. The fluctuations of grid voltage and frequency will affect the power supply quality, making it impossible to effectively utilize the absorption capacity and utilization efficiency of photovoltaic power. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides a micro-energy storage type low voltage management device in conjunction with a rural power grid photovoltaic absorption control method, which has the advantages of obtaining real-time monitoring voltage and current data of the rural power grid and the power generation of photovoltaic modules, and respectively calculating the voltage fluctuation values ​​to determine whether the rural power grid voltage is stable, calculating the power within the rural power grid cycle, and calculating the net load of the rural power grid by combining the power within the rural power grid cycle and the power generation of photovoltaic modules, and combining the net load of the rural power grid and the voltage fluctuation to determine whether it is necessary to connect the electric energy generated by the photovoltaic modules to the grid or to store the electric energy generated by the photovoltaic modules, so that the electric energy generated by the photovoltaic modules can be reasonably regulated according to the fluctuations in the voltage and frequency of the power grid, thereby effectively utilizing the absorption capacity and utilization efficiency of photovoltaic electric energy, and solving the above-mentioned problems.

[0006] (II) Technical solution

[0007] To achieve the above purpose, the present invention provides the following technical solution: a micro-energy storage type low voltage management device cooperates with a rural grid photovoltaic consumption control method, comprising the following steps:

[0008] S1. Obtain real-time monitoring voltage and current data and obtain the power generation of photovoltaic modules;

[0009] S2. The collected real-time monitoring voltage data is formed into a real-time monitoring voltage data set according to a collection period, and the maximum voltage value and the minimum voltage value within the collection period are obtained, and the voltage fluctuation value is calculated according to the maximum voltage value and the minimum voltage value;

[0010] S3, the collected real-time monitoring current data is formed into a real-time monitoring voltage data set according to the collection period, and the monitoring current mean and the monitoring voltage mean in the collection period are calculated respectively. After the monitoring current mean and the monitoring voltage mean are generated, the power in the rural power grid period is calculated according to these two values;

[0011] S4. judging whether the rural grid voltage has abnormal fluctuations according to the calculated voltage fluctuation value and voltage fluctuation threshold;

[0012] S5. The calculated power within the rural grid cycle and the power generation of the photovoltaic components are used to determine the net load of the rural grid. The net load of the rural grid and the voltage fluctuation value are used to determine whether the photovoltaic power is connected to the grid or whether the power in the rural grid and the power generated by the photovoltaic components are stored in batteries.

[0013] Preferably, the real-time monitoring voltage data set expression is: {dy1, dy2, ..., dy n}, dy represents the real-time monitoring voltage data, and the real-time monitoring current data set is represented as: {dl1, dl2, ..., dl n}, dl represents the real-time monitoring current data, and the maximum voltage value in the real-time monitoring voltage data set is represented by dy inax The minimum voltage value data in the real-time monitoring voltage data set is shown as dy Inin , where dy inax The subscript indicates that the maximum real-time monitoring voltage data in the real-time monitoring voltage data set is selected, dy Inin The subscript indicates that the minimum real-time monitoring voltage data in the real-time monitoring voltage data set is selected, and the number of data in the two data sets is equal, and the collection cycle and collection interval are the same.

[0014] Preferably, the voltage fluctuation value calculation expression is as follows:

[0015] Δdy=dy inax -dy Inin

[0016] In the formula, Δdy is the voltage fluctuation value, dy inax-dy Inin It represents the difference between the maximum real-time monitored voltage data and the minimum voltage value data, and this difference is the voltage fluctuation value.

[0017] Preferably, the calculation expression of the average monitored voltage within the collection period is as follows:

[0018]

[0019] In the formula, represents the average monitored voltage within the collection period, represents the summation operation on all the data in the real-time monitored voltage data set, represents the mean calculation of the result after summation, and the generated result is the average monitored voltage within the collection period.

[0020] Preferably, the calculation expression of the average monitored current within the collection period is as follows:

[0021]

[0022] In the formula, represents the average monitored current within the collection period, represents the summation operation on all the data in the real-time added current data set, represents the mean calculation of the result after summation, and the generated result is the average monitored current within the collection period.

[0023] Preferably, the power calculation expression within the rural power grid period is as follows:

[0024]

[0025] In the formula, ZqGL represents the power within the rural power grid period.

[0026] Preferably, the expression for judging whether there is abnormal voltage fluctuation in the rural power grid is as follows:

[0027] When Δdy < dyz, it indicates that the voltage fluctuation of the rural power grid is within the normal fluctuation range;

[0028] When Δdy > dyz, it indicates that the voltage fluctuation of the rural power grid is an abnormal fluctuation, and at this time, it is determined that the voltage of the rural power grid has an abnormal fluctuation.

[0029] Preferably, the calculation expression of the rural power grid net load is as follows:

[0030] Njf = ZqGL - Gf

[0031] In the formula, Njf represents the rural power grid net load, and ZqGL - Gf represents the difference between the power within the rural power grid period and the power generation of the photovoltaic modules.

[0032] Preferably, when Δdy < dyz and Njf > 0, it indicates that there is no abnormal voltage fluctuation in the rural power grid at this time. The fact that the net load of the rural power grid is greater than 0 means that the electricity in the rural power grid is greater than the power generation of the photovoltaic power generation components. At this time, it means that the power generation of the photovoltaic power generation components is stored.

[0033] Preferably, when Δdy > dyz and Njf > 0, it indicates that there is an abnormal voltage fluctuation in the rural power grid at this time. The fact that the net load of the rural power grid is greater than 0 means that the electricity in the rural power grid is greater than the power generation of the photovoltaic power generation components. However, the electric energy is unstable. At this time, the power generation of the photovoltaic power generation components is not stored, and the power generation of the photovoltaic power generation components needs to be transferred to the rural power grid to maintain the stability of the rural power grid.

[0034] When Δdy < dyz and Njf < 0, it indicates that there is no abnormal voltage fluctuation in the rural power grid at this time. The electricity in the rural power grid is greater than the power generation of the photovoltaic power generation components, and the electric energy is stable. At this time, it means that the power generation of the photovoltaic power generation components is stored.

[0035] Compared with the prior art, the present invention provides a micro energy storage type low voltage governance device and a rural power grid photovoltaic accommodation control method, which have the following beneficial effects:

[0036] The present invention calculates the voltage fluctuation value respectively by obtaining the monitored voltage data, current data and photovoltaic module power generation of the real-time rural power grid to judge whether the rural power grid voltage is stable, calculates the power within the rural power grid cycle, and calculates the net load of the rural power grid by using the power within the rural power grid cycle and the photovoltaic module power generation. It combines the net load of the rural power grid and the voltage fluctuation to judge whether it is necessary to perform grid connection processing on the electric energy generated by the photovoltaic module or store the electric energy generated by the photovoltaic module, so as to reasonably regulate the electric energy generated by the photovoltaic module according to the fluctuations of the grid voltage and frequency, and then effectively utilize the accommodation capacity and utilization efficiency of the photovoltaic electric energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] Please refer to Figure 1 , a micro energy storage type low voltage governance device and a rural power grid photovoltaic accommodation control method, including the following steps:

[0040] S1. Obtain real-time monitoring voltage and current data and obtain the power generation of photovoltaic modules;

[0041] S2. The collected real-time monitoring voltage data is formed into a real-time monitoring voltage data set according to the collection period, and the maximum voltage value and the minimum voltage value within the collection period are obtained, and the voltage fluctuation value is calculated according to the maximum voltage value and the minimum voltage value, wherein the real-time monitoring voltage data set expression is: {dy1, dy2, ..., dy n}, dy represents the real-time monitoring voltage data, and the real-time monitoring current data set is represented as: {dl1, dl2, ..., dl n}, dl represents the real-time monitoring current data, and the maximum voltage value in the real-time monitoring voltage data set is represented by dy inax The minimum voltage value in the real-time monitoring voltage data set is shown as dy Inin ,dy inax The subscript indicates that the maximum real-time monitoring voltage data in the real-time monitoring voltage data set is selected, dy Inin The subscript indicates that the minimum real-time monitoring voltage data in the real-time monitoring voltage data set is selected.

[0042] Furthermore, the two data sets mentioned above have the same amount of data, the same collection period, and the same collection interval, thereby avoiding data alignment in subsequent operations and saving computing resources.

[0043] The voltage fluctuation value calculation expression is as follows:

[0044] Δdy=dy inax -dy Inin

[0045] In the formula, Δdy is the voltage fluctuation value, dy ina x-dy Inin It represents the difference between the maximum real-time monitored voltage data and the minimum voltage value data. The difference is the voltage fluctuation value. By calculating the voltage fluctuation value, the voltage fluctuation value within the collection period can be fed back, and the quality of the electric energy in the rural power grid can be fed back.

[0046] S3. The collected real-time monitoring current data is used to form a real-time monitoring voltage data set according to the collection period, and the monitoring current mean and the monitoring voltage mean in the collection period are calculated respectively. After the monitoring current mean and the monitoring voltage mean are generated, the power in the rural power grid period is calculated according to these two values. The calculation methods are as follows:

[0047] The calculation expression of the monitoring voltage mean value within the acquisition period is as follows:

[0048]

[0049] In the formula, Represents the average monitored voltage within the acquisition period, Represents the summation operation on all data in the real-time monitored voltage dataset, Represents the calculation of the average value of the result after summation, and the generated result is the average monitored voltage within the acquisition period;

[0050] The calculation expression for the average monitored current within the acquisition period is as follows:

[0051]

[0052] In the formula, Represents the average monitored current within the acquisition period, Represents the summation operation on all data in the real-time added current dataset, Represents the calculation of the average value of the result after summation, and the generated result is the average monitored current within the acquisition period.

[0053] The calculation expression for the power within the rural power grid cycle is as follows:

[0054]

[0055] In the formula, ZqGL represents the power within the rural power grid cycle.

[0056] S4. Determine whether there is abnormal voltage fluctuation in the rural power grid based on the calculated voltage fluctuation value and voltage fluctuation threshold. The judgment criteria are as follows:

[0057] When Δdy < dyz, it indicates that the voltage fluctuation of the rural power grid is within the normal fluctuation range;

[0058] When Δdy > dyz, it indicates that the voltage fluctuation of the rural power grid is in abnormal fluctuation, and at this time, it is determined that there is abnormal voltage fluctuation in the rural power grid.

[0059] dyz represents the voltage fluctuation threshold.

[0060] S5. Determine the net load of the rural power grid based on the calculated power within the rural power grid cycle and the power generation of the photovoltaic modules. Determine whether the electric energy generated by the photovoltaic is grid-connected or the electric energy in the rural power grid and the electric energy generated by the photovoltaic modules are stored in the battery based on the net load of the rural power grid and the voltage fluctuation value. The calculation expression for the net load of the rural power grid is as follows:

[0061] Njf = ZqGL - Gf

[0062] In the formula, Njf represents the net load of the rural power grid, and ZqGL - Gf represents the difference between the power within the rural power grid cycle and the power generation of the photovoltaic modules;

[0063] The specific judgment process is as follows:

[0064] When Δdy < dyz and Njf > 0, it indicates that there is no abnormal voltage fluctuation in the rural power grid at this time. The fact that the net load of the rural power grid is greater than 0 means that the electricity in the rural power grid is greater than the power generation of the photovoltaic power generation components. At this time, it means that the power generation of the photovoltaic power generation components is stored.

[0065] When Δdy > dyz and Njf > 0, it indicates that there is an abnormal voltage fluctuation in the rural power grid at this time. The fact that the net load of the rural power grid is greater than 0 means that the electricity in the rural power grid is greater than the power generation of the photovoltaic power generation components. However, the electric energy is unstable. At this time, the power generation of the photovoltaic power generation components is not stored, and the power generation of the photovoltaic power generation components needs to be transferred to the rural power grid to maintain the stability of the rural power grid, that is, grid connection operation is performed.

[0066] When Δdy < dyz and Njf < 0, it indicates that there is no abnormal voltage fluctuation in the rural power grid at this time. The electricity in the rural power grid is greater than the power generation of the photovoltaic power generation components, and the electric energy is stable. At this time, it means that the power generation of the photovoltaic power generation components is stored.

[0067] By obtaining the monitored voltage data, current data of the real-time rural power grid, and the power generation of the photovoltaic modules, calculating the voltage fluctuation value respectively to judge whether the rural power grid voltage is stable, calculating the power within the rural power grid cycle, and calculating the net load of the rural power grid with the power within the rural power grid cycle and the power generation of the photovoltaic modules, combining the net load of the rural power grid and the voltage fluctuation to judge whether it is necessary to perform grid connection processing on the electric energy generated by the photovoltaic modules or store the electric energy generated by the photovoltaic modules, so as to reasonably regulate the electric energy generated by the photovoltaic modules according to the fluctuations of the grid voltage and frequency, and then effectively utilize the consumption capacity and utilization efficiency of the photovoltaic electric energy.

[0068] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A micro-energy storage type low voltage management device cooperates with a rural grid photovoltaic consumption control method, characterized in that: It includes the following steps: S1. Obtain real-time monitored voltage and current data, and obtain the power generation of the photovoltaic modules; S2. Form a real-time monitored voltage data set from the collected real-time monitored voltage data according to the collection period, and obtain the maximum voltage value and the minimum voltage value within the collection period, and calculate the voltage fluctuation value according to the maximum voltage value and the minimum voltage value; S3. Form a real-time monitored voltage data set from the collected real-time monitored current data according to the collection period, calculate the average monitored current and the average monitored voltage within the collection period respectively. After generating the average monitored current and the average monitored voltage, calculate the power within the rural power grid period according to these two values; S4. Judge whether there is abnormal voltage fluctuation in the rural power grid according to the calculated voltage fluctuation value and the voltage fluctuation threshold; S5. Judge the net load of the rural power grid according to the calculated power within the rural power grid period and the power generation of the photovoltaic modules, and judge whether the photovoltaic-generated electric energy is grid-connected or whether the electric energy in the rural power grid and the electric energy generated by the photovoltaic modules are stored in the storage battery according to the net load of the rural power grid and the voltage fluctuation value.

2. According to claim 1, a micro-energy storage type low voltage management device is combined with a rural grid photovoltaic consumption control method, characterized in that: The real-time monitoring voltage data set expression is: {dy1, dy2, ..., dyn}, dy represents the real-time monitoring voltage data, and the real-time monitoring current data set is: {dl1, dl2, ..., dl n }, dl represents the real-time monitoring current data, and the maximum voltage value in the real-time monitoring voltage data set is represented by dy inax The minimum voltage value data in the real-time monitoring voltage data set is shown as dy Inin , where dy inax The subscript indicates that the maximum real-time monitoring voltage data in the real-time monitoring voltage data set is selected, dy Inin The subscript indicates that the minimum real-time monitoring voltage data in the real-time monitoring voltage data set is selected, and the number of data in the two data sets is equal, and the collection cycle and collection interval are the same.

3. According to claim 2, a micro-energy storage type low voltage management device is combined with a rural grid photovoltaic consumption control method, characterized in that: The calculation expression of the voltage fluctuation value is as follows: Δyou=you inax -you Inin In the formula, Δdy is the voltage fluctuation value, dy inax -dy Inin It indicates the difference between the maximum real-time monitored voltage data and the minimum voltage value data. This difference is the voltage fluctuation value.

4. According to claim 3, a micro-energy storage type low voltage management device is combined with a rural grid photovoltaic consumption control method, characterized in that: The calculation expression of the average monitored voltage within the collection period is as follows: In the formula, Indicates the average value of the monitored voltage during the acquisition period. It means to sum all the data of the real-time monitoring voltage data set. It means to calculate the average value of the summed results, and the result is the average value of the monitored voltage within the acquisition period.

5. According to claim 4, a micro-energy storage type low voltage management device is combined with a rural grid photovoltaic consumption control method, characterized in that: The calculation expression of the average monitored current within the collection period is as follows: In the formula, Indicates the average value of the monitored current during the acquisition period. It means to sum all the data in the real-time additive current data set. It means that the average value of the summed results is calculated, and the generated result is the average value of the monitoring current within the acquisition period.

6. According to claim 5, a micro-energy storage type low voltage management device is combined with a rural grid photovoltaic consumption control method, characterized in that: The calculation expression of the power within the rural power grid period is as follows: In the formula, ZqGL represents the power within the rural power grid period.

7. A micro-energy storage type low voltage management device in combination with a rural grid photovoltaic consumption control method according to claim 6, characterized in that: The expression for judging whether there is abnormal voltage fluctuation in the rural power grid is as follows: When Δdy < dyz, it means that the voltage fluctuation of the rural power grid is within the normal fluctuation range; When Δdy > dyz, it means that the voltage fluctuation of the rural power grid is in abnormal fluctuation. At this time, it is determined that there is abnormal voltage fluctuation in the rural power grid.

8. According to claim 7, a micro-energy storage type low voltage management device is combined with a rural grid photovoltaic consumption control method, characterized in that: The calculation expression of the net load of the rural power grid is as follows: Njf = ZqGL - Gf In the formula, Njf represents the net load of the rural power grid, and ZqGL - Gf represents the difference between the power within the rural power grid period and the power generation of the photovoltaic modules.

9. A micro-energy storage type low voltage management device in combination with a rural grid photovoltaic consumption control method according to claim 8, characterized in that: When Δdy < dyz and Njf > 0, it means that there is no abnormal voltage fluctuation in the rural power grid at this time. Njf > 0 means that the electric energy in the rural power grid is greater than the power generation of the photovoltaic power generation modules. At this time, it means that the power generation of the photovoltaic power generation modules is stored.

10. According to claim 2, a micro-energy storage type low voltage management device is combined with a rural grid photovoltaic consumption control method, characterized in that: When Δdy > dyz and Njf > 0, it indicates that there is abnormal voltage fluctuation in the rural power grid at this time. Njf > 0 means that the electric energy in the rural power grid is greater than the power generation of the photovoltaic power generation modules, but the electric energy is unstable. At this time, the power generation of the photovoltaic power generation modules is not stored, and the power generation of the photovoltaic power generation modules needs to be transferred to the rural power grid to maintain the stability of the rural power grid; When Δdy < dyz and Njf < 0, it indicates that there is no abnormal voltage fluctuation in the rural power grid at this time. The electric energy in the rural power grid is greater than the power generation of the photovoltaic power generation modules, and the electric energy is stable. At this time, it means that the power generation of the photovoltaic power generation modules is stored.

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