A low-carbon micro-grid system integrating light storage and charging

Abstract

The application discloses a kind of low carbon micro-grid systems of light storage and charge integration, the present application relates to electric energy control technical field, power grid system includes photovoltaic power generation module, power management module, power distribution storage module and total resource adjustment module, different light storage and charge integration is provided with photovoltaic power generation module, photovoltaic power generation module is used to convert light energy into output electric energy, power management module includes prediction processing unit and electric energy data storage unit, the advantages of the present application are that: different light storage and charge integration is consumed by prediction processing unit prediction electric energy, and then power distribution storage module is convenient according to consumption electric energy data and the output electric energy of photovoltaic power generation module is transmitted to corresponding light storage and charge integration, to ensure that resource can be flowed between different light storage and charge integration distribution, to adjust the resource between light storage and charge integration and be reasonably distributed.

Description

Technical Field

[0001] This invention relates to the field of power control technology, specifically to a low-carbon microgrid system integrating photovoltaic, energy storage, charging, and load generation. Background Technology

[0002] With the development of science and technology, people have clearly realized the importance of energy. In order to accelerate the construction of a clean, low-carbon, safe and efficient energy system, various energy types are organically combined to further achieve green and low-carbon development. Today, with the rise of new energy and electric vehicles, the transformation to new energy has been realized, and the integration of photovoltaic, energy storage and charging has been implemented. The integration of photovoltaic, energy storage and charging is the "photovoltaic + energy storage + electric vehicle charging" model, which is combined with the power supply of the distribution network to form a low-carbon microgrid system.

[0003] However, existing integrated photovoltaic, energy storage, charging, and load low-carbon microgrid systems cannot solve the construction technical challenges of photovoltaic, energy storage, charging, and power consumption facilities under conditions where grid connection is not possible. This may lead to the inability of the grids between integrated photovoltaic, energy storage, charging, and load systems to interconnect, resulting in unfair resource allocation among them and problems with power transmission and power acquisition from the grid. Therefore, we propose an integrated photovoltaic, energy storage, charging, and load low-carbon microgrid system. Summary of the Invention

[0004] The purpose of this invention is to provide a low-carbon microgrid system that integrates photovoltaic, energy storage, charging, and load generation.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an integrated photovoltaic, energy storage, charging and load-distribution low-carbon microgrid system, wherein the grid system includes a photovoltaic power generation module, a power management module, a power distributed storage module and a total resource adjustment module;

[0006] Different integrated photovoltaic, energy storage, charging and load-bearing systems are equipped with photovoltaic power generation modules, which are used to convert light energy into output electrical energy;

[0007] The power management module includes a prediction processing unit and an energy data storage unit. The energy data storage unit is used to store energy data from different photovoltaic-storage-charging-load integrated systems. The prediction processing unit retrieves the energy data from the energy data storage unit to make predictions, obtains the energy consumption at different time periods and the energy data of photovoltaic power generation at different time periods, and then predicts the energy consumption of the photovoltaic-storage-charging-load integrated system in the next time period.

[0008] The power distribution storage module is used to adjust the power output of different photovoltaic-storage-charging-load integrated systems. It uses the power management module to predict the power consumption of the photovoltaic-storage-charging-load integrated system in the next time period and transmits the power output of the photovoltaic power generation module to the predicted photovoltaic-storage-charging-load integrated system.

[0009] The total resource adjustment module is used to store and transmit electrical energy. When the predicted electrical energy consumption of all photovoltaic-storage-charge-load integrated photovoltaic systems is less than the actual electrical energy stored by all photovoltaic-storage-charge-load integrated photovoltaic systems, the electrical energy greater than 120% will be transmitted to the total resource adjustment module for storage. When the predicted electrical energy consumption of all photovoltaic-storage-charge-load integrated photovoltaic systems is greater than or equal to the actual electrical energy stored by all photovoltaic-storage-charge-load integrated photovoltaic systems, the total resource adjustment module will transmit electrical energy to different photovoltaic-storage-charge-load integrated photovoltaic systems through the power grid.

[0010] As a further aspect of the present invention: the power management module is equipped with an environmental acquisition unit, which acquires the light intensity, temperature and humidity conditions of the current time period. Based on the light intensity, temperature and humidity conditions, the output power data of the photovoltaic power generation module in the next time period is predicted. Based on the predicted output power data and power consumption of the photovoltaic power generation module, different integrated photovoltaic-storage-charging-load systems are then planned and processed.

[0011] As a further aspect of the present invention: the prediction processing unit obtains the energy consumption for the next time period through a formula, the specific formula of which is as follows:

[0012]

[0013] in, Indicates the first The first integrated photovoltaic, energy storage, and charging system Predicted data for a specific time period, , ... These represent the first in the historical data. The first integrated photovoltaic, energy storage, and charging system... Energy consumption over a period of time This represents the largest amount of historical data. The weighting coefficients representing the seasonal impact of integrated photovoltaic, energy storage, charging, and load balancing. This indicates the error value.

[0014] As a further aspect of the present invention: the power management module is equipped with an optimization route unit. The optimization route unit adjusts the storage route according to the energy consumption of the photovoltaic-storage-charging-load integration. When the predicted energy consumption of the photovoltaic-storage-charging-load integration is greater than the current energy stored in the photovoltaic-storage-charging-load integration, the optimization route unit guides the photovoltaic power generation module to other photovoltaic-storage-charging-load integrations. The storage sequence is adjusted according to the energy loss from other photovoltaic-storage-charging-load integrations to the current photovoltaic-storage-charging-load integration. When the predicted energy consumption of the photovoltaic-storage-charging-load integration is less than or equal to the current energy stored in the photovoltaic-storage-charging-load integration, the optimization route unit is not activated.

[0015] As a further aspect of the present invention: the optimized route unit obtains the energy loss from other integrated photovoltaic-storage-charging-load systems to the current integrated photovoltaic-storage-charging-load system using a formula, the specific formula of which is as follows:

[0016]

[0017] in, Indicates the first From the current integrated photovoltaic-storage-charging-load system, the energy loss of the integrated photovoltaic-storage-charging-load system has decreased. Indicates the electrical energy of the load. Represents the resistivity of a conductor material. Indicates the first From the previous integrated photovoltaic-storage-charging-load system to the current integrated photovoltaic-storage-charging-load system length. This represents the cross-sectional area of ​​the conductor.

[0018] As a further aspect of the present invention: the total resource adjustment module obtains the predicted energy consumption of all integrated photovoltaic-storage-charging-load systems for the next day using a formula, the specific formula of which is as follows:

[0019]

[0020] in, This indicates the electrical energy consumed in all integrated photovoltaic, energy storage, charging, and load-bearing systems. This represents the maximum value within a time period. This indicates the maximum number of integrated photovoltaic, energy storage, charging, and load-bearing systems.

[0021] As a further aspect of the present invention: the total resource adjustment module is provided with an external port for connection to the power grid. The total resource adjustment module is configured with a daily upper limit threshold and a daily lower limit threshold for power consumption. When the sum of the stored power in the total resource adjustment module and the stored power in the integrated photovoltaic-storage-charging-load system exceeds the daily upper limit threshold, the total resource adjustment module transmits power to the power grid. When the sum of the stored power in the total resource adjustment module and the stored power in the integrated photovoltaic-storage-charging-load system is less than the daily lower limit threshold, the total resource adjustment module receives power transmitted from the power grid.

[0022] As a further aspect of the present invention: the prediction processing unit is equipped with a neural network model, which is used to evaluate and predict the integrated photovoltaic-storage-charging-load system in the power grid.

[0023] Compared with the prior art, the beneficial effects of the present invention by adopting the above technical solution are as follows:

[0024] 1. This invention predicts the energy consumption of different photovoltaic-storage-charging-load integrated systems through a prediction processing unit. Then, the power distribution storage module can easily transmit the output energy of the photovoltaic power generation module to the corresponding photovoltaic-storage-charging-load integrated system based on the energy consumption data, thereby ensuring that resources can be flowed and allocated among different photovoltaic-storage-charging-load integrated systems, and facilitating the rational allocation of resources among photovoltaic-storage-charging-load integrated systems.

[0025] 2. This invention analyzes the output power and power loss of the photovoltaic power generation module in the photovoltaic-storage-charging-load integration through an environmental acquisition unit and a prediction processing unit, and then determines whether the photovoltaic-storage-charging-load integration needs further adjustment;

[0026] 3. This invention determines whether the energy loss in the current integrated photovoltaic-storage-charging-load unit exceeds the stored energy, and then optimizes the route unit to store energy in other integrated photovoltaic-storage-charging-load units near the current integrated photovoltaic-storage-charging-load unit. This allows the current integrated photovoltaic-storage-charging-load unit to retrieve energy from nearby integrated photovoltaic-storage-charging-load units after the energy in the current integrated photovoltaic-storage-charging-load unit is depleted, thereby reducing energy consumption.

[0027] 4. This invention uses a total resource adjustment module as backup power to output or supplement excess or missing power from the grid in the integrated photovoltaic-storage-charging-load system. It also uses a neural network model to evaluate the power in the integrated photovoltaic-storage-charging-load system, which helps to improve the accuracy of power grid transmission or reception.

[0028] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0029] Figure 1 This is a flowchart of the power grid system in an embodiment of the present invention;

[0030] Figure 2 This is a flowchart illustrating the integrated series connection of photovoltaic storage and charging in an embodiment of the present invention. Detailed Implementation

[0031] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0032] Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0033] Example 1:

[0034] Please see the appendix Figure 1 -Appendix Figure 2 The present invention discloses an integrated photovoltaic, energy storage, charging and load-distribution low-carbon microgrid system, wherein the grid system includes a photovoltaic power generation module, a power management module, a power distributed storage module and a total resource adjustment module;

[0035] Different integrated photovoltaic, energy storage, charging and load-bearing systems all include photovoltaic power generation modules, which are used to convert solar energy into output electrical energy.

[0036] The power management module includes a prediction processing unit and an energy data storage unit. The energy data storage unit is used to store energy data from different photovoltaic-storage-charging-load integrated systems. The prediction processing unit retrieves the energy data from the energy data storage unit to make predictions, obtains the energy consumption at different time periods and the energy data of photovoltaic power generation at different time periods, and then predicts the energy consumption of the photovoltaic-storage-charging-load integrated system in the next time period.

[0037] The power distribution storage module is used to adjust the power output of different photovoltaic-storage-charging-load integrated systems. It uses the power management module to predict the power consumption of the photovoltaic-storage-charging-load integrated system in the next time period and transmits the power output of the photovoltaic power generation module to the predicted photovoltaic-storage-charging-load integrated system.

[0038] The total resource adjustment module is used for storing and transmitting electrical energy. When the predicted total energy consumption of all photovoltaic-storage-charging-load integrated photovoltaic systems is less than the actual stored energy, the excess energy is transmitted to the total resource adjustment module for storage. When the predicted total energy consumption of all photovoltaic-storage-charging-load integrated photovoltaic systems is greater than or equal to the actual stored energy, the total resource adjustment module transmits electrical energy to different photovoltaic-storage-charging-load integrated photovoltaic systems through the power grid.

[0039] The specific workflow is as follows: By connecting different integrated photovoltaic-storage-charging-load systems in series, the photovoltaic power generation modules in these systems convert solar energy into output electrical energy. The power management module acquires usage status data on the stored and consumed electrical energy of each integrated system. Based on this data, the electrical energy generated in infrequently used systems is transferred to frequently used systems for storage, facilitating efficient energy storage. A power distribution storage module guides the electrical energy to different integrated systems for storage. Finally, a total resource adjustment module connects the integrated systems, allowing for mutual transmission and supplementation of energy between them, preventing issues with timely energy adjustments when problems occur in the series-connected systems.

[0040] Furthermore, the predictive processing unit predicts the energy consumption of different photovoltaic-storage-charging-load integrated systems. The power distribution storage module can then transmit the output energy of the photovoltaic power generation module to the corresponding photovoltaic-storage-charging-load integrated system based on the energy consumption data. This ensures that resources can be distributed among different photovoltaic-storage-charging-load integrated systems and facilitates the rational allocation of resources among them.

[0041] Example 2:

[0042] Based on Example 1, please refer to the appendix. Figure 1 -Appendix Figure 2 As shown, the power management module includes an environmental data acquisition unit. This unit obtains the current light intensity, temperature, and humidity conditions. Based on these conditions, it predicts the power output of the photovoltaic (PV) modules for the next time period. Then, based on the predicted power output and consumption data, it plans and processes different integrated PV-storage-charging-load systems. The prediction unit uses a formula to calculate the power consumption for the next time period, as follows:

[0043]

[0044] in, Indicates the first The first integrated photovoltaic, energy storage, and charging system Predicted data for a specific time period, , ... These represent the first in the historical data. The first integrated photovoltaic, energy storage, and charging system... Energy consumption over a period of time This represents the largest amount of historical data. The weighting coefficients representing the seasonal impact of integrated photovoltaic, energy storage, charging, and load balancing. This indicates the error value.

[0045] The specific workflow is as follows: Based on the collected data on light intensity, temperature, and humidity, relevant prediction models or algorithms are used to predict the output power data of the photovoltaic power generation modules in the next period. Based on the predicted output power data and power consumption data of the photovoltaic power generation modules, different integrated photovoltaic-storage-charging-load systems are planned and processed to facilitate subsequent data processing in the integrated photovoltaic-storage-charging-load system. Based on the predicted power consumption data and planning results for the next period, the power system is adjusted accordingly, including operations such as charging and discharging control of the energy storage system and load allocation.

[0046] Furthermore, by analyzing the output power and power loss of the photovoltaic power generation module in the photovoltaic-storage-charging-load integration through the environmental acquisition unit and the prediction and processing unit, it can be determined whether the photovoltaic-storage-charging-load integration needs further adjustment.

[0047] Example 3:

[0048] Based on Example 2, please refer to the appendix. Figure 1 -Appendix Figure 2 As shown, the power management module includes an optimized route unit. This unit adjusts the storage route based on the energy consumption of the integrated photovoltaic-storage-charging-load system. When the predicted energy consumption of the integrated photovoltaic-storage-charging-load system exceeds the current energy storage capacity, the optimized route unit guides the photovoltaic modules to other integrated photovoltaic-storage-charging-load systems. It adjusts the storage sequence based on the energy loss from other integrated photovoltaic-storage-charging-load systems to the current system. When the predicted energy consumption of the integrated photovoltaic-storage-charging-load system is less than or equal to the current energy storage capacity, the optimized route unit is not activated. The optimized route unit obtains the energy loss from other integrated photovoltaic-storage-charging-load systems to the current system using a formula, as follows:

[0049]

[0050] in, Indicates the first From the current integrated photovoltaic-storage-charging-load system, the energy loss of the integrated photovoltaic-storage-charging-load system has decreased. Indicates the electrical energy of the load. Represents the resistivity of a conductor material. Indicates the first From the previous integrated photovoltaic-storage-charging-load system to the current integrated photovoltaic-storage-charging-load system length. This represents the cross-sectional area of ​​the conductor.

[0051] The specific workflow is as follows: Based on the energy loss from other integrated photovoltaic-storage-charging-load devices to the current integrated photovoltaic-storage-charging-load device, the storage order is adjusted. The predicted energy consumption of the integrated photovoltaic-storage-charging-load device is compared with the current energy stored. If the predicted energy consumption is less than or equal to the current energy stored, the optimization line unit is not activated. If the predicted energy consumption is greater than the current energy stored, the optimization line unit is activated. Based on the above judgment and calculation results, the specific workflow is executed, including optimization operations for energy storage and transmission paths.

[0052] Furthermore, by determining whether the energy loss in the current photovoltaic-storage-charging-load integrated unit exceeds the stored energy, the route unit is optimized to store energy in other photovoltaic-storage-charging-load integrated units near the current unit. This allows the current unit to draw energy from nearby units after the energy in the current unit is depleted, thereby reducing energy consumption.

[0053] Example 4:

[0054] Based on Example 3, please refer to the appendix. Figure 1 -Appendix Figure 2 As shown, the total resource adjustment module uses a formula to predict the energy consumption of all integrated photovoltaic, energy storage, charging, and load-discharge systems for the next day. The specific formula is as follows:

[0055]

[0056] in, This indicates the electrical energy consumed in all integrated photovoltaic, energy storage, charging, and load-bearing systems. This represents the maximum value within a time period. This indicates the maximum number of integrated photovoltaic-storage-charging-load systems. The total resource adjustment module is equipped with an external port for connection to the power grid. The module sets a daily upper and lower limit threshold for electricity consumption. When the sum of the stored energy in the total resource adjustment module and the stored energy in the integrated photovoltaic-storage-charging-load systems exceeds the daily upper limit threshold, the module transmits electricity to the grid. When the sum of the stored energy in the total resource adjustment module and the stored energy in the integrated photovoltaic-storage-charging-load systems is less than the daily lower limit threshold, the module receives electricity transmitted from the grid. The prediction processing unit includes a neural network model, which is used to evaluate and predict the integrated photovoltaic-storage-charging-load systems within the power grid system.

[0057] Specific workflow: Set the upper limit threshold and lower limit threshold for daily power consumption. If the sum of the stored power in the total resource adjustment module and the stored power in the integrated photovoltaic-storage-charging-load system is greater than the upper limit threshold for daily power consumption, the total resource adjustment module transmits power to the grid. If the sum of the stored power in the total resource adjustment module and the stored power in the integrated photovoltaic-storage-charging-load system is less than the lower limit threshold for daily power consumption, the total resource adjustment module obtains the power transmitted from the grid and then adjusts the power transmitted between the total resource adjustment module and the grid.

[0058] Furthermore, by using the total resource adjustment module as backup power, excess or insufficient power in the integrated photovoltaic-storage-charging-load system can be output from the grid or supplemented. The power in the integrated photovoltaic-storage-charging-load system can be evaluated using a neural network model, which helps to improve the accuracy of power grid transmission or reception.

[0059] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A low-carbon microgrid system integrating photovoltaic, energy storage, charging, and load generation, characterized in that: The power grid system includes a photovoltaic power generation module, a power management module, a power distributed storage module, and a total resource adjustment module; Different integrated photovoltaic, energy storage, charging and load-bearing systems are equipped with photovoltaic power generation modules, which are used to convert light energy into output electrical energy; The power management module includes a prediction processing unit and an energy data storage unit. The energy data storage unit is used to store energy data from different photovoltaic-storage-charging-load integrated systems. The prediction processing unit retrieves the energy data from the energy data storage unit to make predictions, obtains the energy consumption at different time periods and the energy data of photovoltaic power generation at different time periods, and then predicts the energy consumption of the photovoltaic-storage-charging-load integrated system in the next time period. The power distribution storage module is used to adjust the power output of different photovoltaic-storage-charging-load integrated systems. It uses the power management module to predict the power consumption of the photovoltaic-storage-charging-load integrated system in the next time period and transmits the power output of the photovoltaic power generation module to the predicted photovoltaic-storage-charging-load integrated system. The total resource adjustment module is used to store and transmit electrical energy. When the predicted energy consumption of all photovoltaic-storage-charge-load integrated photovoltaic systems is less than the actual stored energy of all photovoltaic-storage-charge-load integrated photovoltaic systems, the energy consumption greater than 1.2 times the predicted energy consumption is transmitted to the total resource adjustment module for storage. When the predicted energy consumption of all photovoltaic-storage-charge-load integrated photovoltaic systems is greater than or equal to the actual stored energy of all photovoltaic-storage-charge-load integrated photovoltaic systems, the total resource adjustment module transmits electrical energy to different photovoltaic-storage-charge-load integrated photovoltaic systems through the power grid.

2. The integrated photovoltaic, energy storage, charging, and load-discharge low-carbon microgrid system according to claim 1, characterized in that: The power management module is equipped with an environmental acquisition unit, which acquires the light intensity, temperature, and humidity conditions for the current time period. Based on the light intensity, temperature, and humidity conditions, the power output data of the photovoltaic power generation module for the next time period is predicted. Based on the predicted power output data and power consumption of the photovoltaic power generation module, different integrated photovoltaic, energy storage, charging, and load-bearing systems are then planned and processed.

3. The integrated photovoltaic, energy storage, charging, and load-discharge low-carbon microgrid system according to claim 2, characterized in that: The prediction processing unit obtains the energy consumption for the next time period using a formula, as follows: ； in, Indicates the first The first integrated photovoltaic, energy storage, and charging system Predicted data for a specific time period, , ... These represent the first in the historical data. The first integrated photovoltaic, energy storage, and charging system... Energy consumption over a period of time This represents the largest amount of historical data. The weighting coefficients representing the seasonal impact of integrated photovoltaic, energy storage, charging, and load balancing. This indicates the error value.

4. The integrated photovoltaic, energy storage, charging, and load-discharge low-carbon microgrid system according to claim 3, characterized in that: The power management module includes an optimization route unit. This unit adjusts the storage route based on the energy consumption of the integrated photovoltaic-storage-charging-load system. When the predicted energy consumption of the integrated photovoltaic-storage-charging-load system exceeds the current energy stored in the integrated system, the optimization route unit guides the photovoltaic power generation module to other integrated photovoltaic-storage-charging-load systems. The storage sequence is adjusted based on the energy loss from other integrated photovoltaic-storage-charging-load systems to the current integrated system. When the predicted energy consumption of the integrated photovoltaic-storage-charging-load system is less than or equal to the current energy stored in the integrated system, the optimization route unit is not activated.

5. The low-carbon microgrid system integrating photovoltaic, energy storage, charging, and load generation according to claim 4, characterized in that: The optimized route unit obtains the energy loss from other integrated photovoltaic-storage-charging-load systems to the current integrated photovoltaic-storage-charging-load system using a formula, as follows: ； in, Indicates the first From the current integrated photovoltaic-storage-charging-load system, the energy loss of the integrated photovoltaic-storage-charging-load system has decreased. Indicates the load current. Represents the resistivity of a conductor material. Indicates the first From the previous integrated photovoltaic-storage-charging-load system to the current integrated photovoltaic-storage-charging-load system length. This represents the cross-sectional area of ​​the conductor.

6. The low-carbon microgrid system integrating photovoltaic, energy storage, charging, and load generation according to claim 5, characterized in that: The total resource adjustment module uses a formula to predict the energy consumption of the integrated photovoltaic-storage-charging system for the next day. The specific formula is as follows: ； in, This indicates the electrical energy consumed in all integrated photovoltaic, energy storage, charging, and load-bearing systems. This represents the maximum value within a time period. This indicates the maximum number of integrated photovoltaic, energy storage, charging, and load-bearing systems.

7. The integrated photovoltaic, energy storage, charging, and load-discharge low-carbon microgrid system according to claim 6, characterized in that: The total resource adjustment module is equipped with an external port for connection to the power grid. The module sets a daily upper limit threshold and a daily lower limit threshold for electricity consumption. When the sum of the stored energy in the total resource adjustment module and the stored energy in the integrated photovoltaic-storage-charging-load system exceeds the daily upper limit threshold, the module transmits electricity to the power grid. When the sum of the stored energy in the total resource adjustment module and the stored energy in the integrated photovoltaic-storage-charging-load system is less than the daily lower limit threshold, the module receives electricity transmitted from the power grid.

8. The integrated photovoltaic, energy storage, charging, and load-discharge low-carbon microgrid system according to claim 1, characterized in that: The prediction processing unit is equipped with a neural network model, which is used to evaluate and predict the integrated photovoltaic, energy storage, charging and load-bearing system in the power grid.

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