A grid-connected and off-grid integrated photovoltaic energy storage system

Abstract

The present invention provides an on-grid and off-grid integrated photovoltaic energy storage system, which relates to the technical field of data processing. The system comprises a photovoltaic power generation module, an energy storage module, a load module, a control module, a conversion module and a power adjustment module. The control module comprises a data acquisition module, a state analysis module and a switching instruction generation module. When a grid adaptability result shows that an external grid meets a grid-connected condition, a grid-connected instruction is generated; when a grid adaptability result shows that an external grid does not meet the grid-connected condition and an energy storage capacity evaluation result shows that the energy storage module has the ability to meet load requirements, an off-grid instruction is generated; if the energy storage capacity evaluation result shows that the energy storage module cannot meet the load requirements, a load adjustment instruction is generated, and the load module is controlled to reduce the energy distribution ratio of non-critical loads; the power adjustment module is used to dynamically adjust the output power ratio of the energy storage module according to off-grid electric energy data in an off-grid mode; the present invention improves the electric energy distribution effect of the energy storage system.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an on-grid and off-grid integrated photovoltaic energy storage system. Background Art

[0002] The on-grid and off-grid photovoltaic energy storage system is a new energy utilization system that has both on-grid and off-grid operation capabilities, and has important application value in the field of photovoltaic power generation and energy storage. In the prior art, the on-grid and off-grid photovoltaic energy storage system usually connects the photovoltaic cell assembly to the power management module and uses the inverter to achieve the on-grid operation mode. In the on-grid mode, the excess electric energy can be transmitted to the public power grid to ensure energy utilization efficiency; in the off-grid mode, the system is powered by the energy storage module to provide users with stable power output. However, in the prior art implementation, the on-grid and off-grid switching of the system mainly depends on preset thresholds or manual intervention, lacks a real-time intelligent judgment mechanism, and is prone to power outages or power waste during the switching process, affecting the stability of the system.

[0003] For example, in remote areas or island power supply systems, the system needs to switch to off-grid mode to power critical loads when the grid is unstable or completely out of power. However, since the switching logic of the existing system cannot fully consider the real-time load demand and the remaining power of the energy storage module, the switched energy storage module may not be able to continue to supply power due to insufficient power, thereby interrupting the operation of critical equipment. This technical defect limits the reliability and applicability of the system in practical applications, and an improved solution is urgently needed to improve the intelligence and robustness of off-grid switching. Summary of the invention

[0004] The purpose of the present invention is to provide an on-grid and off-grid integrated photovoltaic energy storage system, aiming to solve the problems mentioned in the background technology.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0006] A photovoltaic energy storage system integrated with an on-grid and off-grid environment, the system comprising:

[0007] Photovoltaic power generation module, used to receive solar energy and convert it into direct current electricity to generate raw power data;

[0008] The energy storage module is used to receive the raw power data and store it as energy storage power data, while monitoring the current energy storage status and generating energy storage status data;

[0009] Load module, used to obtain load operating parameters in real time and generate load demand data;

[0010] The control module includes a data acquisition module, a state analysis module and a switching instruction generation module; wherein:

[0011] Data acquisition module, used to obtain energy storage status data, load demand data and external power grid status data in real time, and generate a comprehensive status data set;

[0012] The state analysis module is used to calculate based on the comprehensive state data set to generate grid adaptability results and energy storage capacity evaluation results, where the grid adaptability results are used to characterize whether the external grid meets the grid-connected operation conditions, and the energy storage capacity evaluation results are used to characterize whether the energy storage module has the ability to meet the load demand;

[0013] A switching instruction generation module is used to generate a switching instruction according to the grid adaptability result and the energy storage capacity evaluation result, wherein:

[0014] When the grid adaptability result shows that the external grid meets the grid connection conditions, a grid connection instruction is generated;

[0015] When the grid adaptability result shows that the external grid does not meet the grid connection conditions, and the energy storage capacity evaluation result shows that the energy storage module has the ability to meet the load demand, an off-grid instruction is generated;

[0016] If the energy storage capacity evaluation result shows that the energy storage module cannot meet the load demand, a load adjustment instruction is generated, and the load module is controlled to reduce the energy allocation ratio of non-critical loads;

[0017] The conversion module includes a grid-connected conversion module and an off-grid conversion module: wherein:

[0018] A grid-connected conversion module, used to convert the raw power data into grid-connected power data according to the grid-connected instruction;

[0019] An off-grid conversion module, used to convert energy storage power data into off-grid power data according to an off-grid instruction or a load adjustment instruction;

[0020] The power adjustment module is used to dynamically adjust the output power ratio of the energy storage module according to the off-grid power data in the off-grid mode to generate optimized power supply distribution data;

[0021] The load module is also used to distribute electric energy according to the optimized power supply distribution data.

[0022] Preferably, the photovoltaic power generation module comprises:

[0023] Photovoltaic component modules, used to receive solar energy and convert it into direct current electricity to generate raw power data;

[0024] Light intensity monitoring module, used to monitor ambient light conditions in real time and generate light intensity data;

[0025] A power generation optimization control module is used to dynamically adjust the energy conversion parameters of the photovoltaic module according to the light intensity data;

[0026] The fault detection module is used to detect the working status of the photovoltaic module and generate a fault alarm signal when an abnormality occurs in the module.

[0027] Preferably, the energy storage module comprises:

[0028] The energy storage unit is used to receive the raw power data and store it as energy storage power data, while monitoring the current energy storage state and generating energy storage state data;

[0029] The dynamic power allocation module is used to generate charging and discharging power ratio adjustment parameters according to energy storage status data.

[0030] Preferably, the load module comprises:

[0031] Load acquisition module, used to obtain load operating parameters in real time and generate preliminary demand data;

[0032] The load demand classification module is used to assign load priorities to the preliminary demand data and divide it into critical load demand data and non-critical load demand data to form load demand data.

[0033] Preferably, the data acquisition module comprises:

[0034] The real-time data screening module is used to screen the energy storage status data and the external power grid status data, remove abnormal data that may interfere with decision-making, and obtain real-time status data;

[0035] The data merging module is used to merge the real-time status data and the load demand data into one set to obtain a comprehensive status data set.

[0036] Preferably, the status analysis module includes:

[0037] The grid adaptability analysis module is used to analyze the voltage fluctuation, frequency consistency and power stability of the grid according to the external grid status data, and generate the grid adaptability results; the grid adaptability results are evaluated by the following formula:

[0038] ,in, Scoring the grid adaptability to assess the operational adaptability of the external grid. and are the start time and end time of the time integration, is the time variable, , , is the weight coefficient, is the real-time voltage deviation, , is the voltage measured in real time, is the rated voltage, is the real-time frequency deviation, , is the frequency measured in real time, is the rated frequency, Scoring the grid power stability, , is the standard deviation of real-time power fluctuation, is the maximum rated power of the power grid, is the time constant;

[0039] The energy storage capacity dynamic evaluation module is used to calculate the remaining power supply time and load satisfaction rate of the energy storage module under the current operating conditions according to the energy storage status data and load demand data, and generate the energy storage capacity evaluation result; the remaining power supply time and load satisfaction rate are calculated by the following formula:

[0040] ,in, The remaining power supply time, is the adjustment coefficient, The value range is between 0 and 1. is the maximum capacity of the energy storage module, is the current capacity of the energy storage module, , is the real-time charging power, is the real-time discharge power, , are the charging efficiency and discharging efficiency, respectively. is the total time range, is the average power demand of the current load;

[0041] ,in, is the load satisfaction rate, For the The energy storage module is given to The power shared by each load, For the The performance weight coefficient of each energy storage module is: The value range is between 0 and 1. For the The total power required by the loads, is the number of energy storage modules, is the number of loads.

[0042] Preferably, the switching instruction generating module includes:

[0043] A grid connection determination module is used to determine whether the grid connection conditions of the external grid are met according to the grid adaptability result, and if so, generate a grid connection instruction;

[0044] The off-grid determination module is used to determine whether the energy storage module has independent power supply capability when the grid adaptability result indicates that the external grid does not meet the grid connection conditions, combined with the energy storage capacity evaluation result. If so, an off-grid instruction is generated;

[0045] A load adjustment determination module is used to prioritize the allocation of electric energy to critical loads and dynamically adjust the power supply ratio of non-critical loads and generate load adjustment instructions when the energy storage capacity evaluation result indicates that the energy storage module cannot meet the current load demand;

[0046] The instruction priority setting module is used to dynamically adjust the execution priority and generate the switching instruction according to the grid connection instruction, the grid-off instruction and the load adjustment instruction.

[0047] Preferably, the grid-connected conversion module comprises:

[0048] A grid-connected instruction execution module, used for converting the native electric energy data into grid-connected electric energy data according to the grid-connected instruction, and outputting it to the external power grid;

[0049] The voltage regulation module is used to dynamically adjust the output voltage of the grid-connected power data according to the voltage fluctuation of the external power grid;

[0050] The frequency synchronization module is used to adjust the frequency of the grid-connected power data in real time according to the grid-connected instructions to keep it consistent with the frequency of the external power grid;

[0051] The conversion control module is used to adjust the conversion ratio of the raw power data according to the load demand data and the energy storage status data.

[0052] Preferably, the power adjustment module includes:

[0053] The dynamic power allocation module is used to allocate off-grid power data according to energy storage status data and load demand data to generate power supply allocation data; the power supply allocation data is allocated according to the following formula:

[0054] in, is the power supply allocation index, , , is the adjustment factor, , is a periodic wave function, For the The priority weight of each load, , For the The load fluctuation frequency, For the The running time of a load, is the time decay factor, , is the time constant.

[0055] Preferably, the load module further includes:

[0056] A power dynamic distribution module, used to dynamically adjust the power supply ratio of critical loads and non-critical loads according to the optimized power supply distribution data to obtain a first power supply distribution strategy;

[0057] The load status monitoring module is used to detect the operating status of each load in real time and generate load operation feedback data;

[0058] A feedback optimization module, used to adjust the first power supply allocation strategy according to the load operation feedback data to obtain a second power supply allocation strategy;

[0059] The power output module is used to supply power to each load according to the first power distribution strategy or the second power distribution strategy.

[0060] The above solution of the present invention includes at least the following beneficial effects:

[0061] Through the coordinated work of photovoltaic power generation modules, energy storage modules, load modules, control modules and conversion modules, this system can realize intelligent switching between grid-connected and off-grid modes in complex power environments, and dynamically adjust load distribution to improve the adaptability and operation efficiency of the system. The photovoltaic power generation module is responsible for receiving solar energy and generating raw power data. The energy storage module stores the raw power data as energy storage power data and generates energy storage status data to provide reliable guarantee for subsequent load power supply. The load module monitors the operating parameters in real time to generate load demand data to ensure the real-time and accuracy of load power distribution. The control module obtains energy storage status, load demand and external grid status data through the data acquisition module to form a comprehensive status data set. The status analysis module generates grid adaptability results and energy storage capacity evaluation results based on this, provides data support for the switching instruction generation module, and realizes intelligent switching between grid-connected and off-grid modes. The power adjustment module dynamically adjusts the output power ratio of the energy storage module according to the off-grid power data, further optimizes the load power distribution, and ensures the efficient operation of the system in off-grid mode.

[0062] First, the system can analyze the adaptability of the grid and the energy storage capacity in real time through the control module to achieve more accurate grid-connected and off-grid judgments. When the external power grid fluctuates or is interrupted, the system can quickly switch to off-grid mode, give priority to ensuring the stable power supply of critical loads, and reduce the energy allocation ratio of non-critical loads, thereby extending the operation time of the energy storage module. Secondly, the system dynamically adjusts the power distribution ratio through the collaborative work of the power adjustment module and the load module to make full use of energy storage resources. For example, in peak load scenarios, the system can reduce the power supply ratio of non-critical loads, such as lighting or air conditioning, in real time to ensure the continuous operation of key equipment, such as medical equipment. Finally, the system realizes seamless switching between grid-connected and off-grid modes through modular design, and dynamically adapts to changes in load demand and energy storage status. It is particularly suitable for scenarios with high requirements for energy utilization efficiency and system reliability in complex power environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is an architecture diagram of an on-grid and off-grid integrated photovoltaic energy storage system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0065] like Figure 1 As shown, an embodiment of the present invention provides an on-grid and off-grid integrated photovoltaic energy storage system, the system comprising:

[0066] Photovoltaic power generation module, used to receive solar energy and convert it into direct current electricity to generate raw power data;

[0067] The energy storage module is used to receive the raw power data and store it as energy storage power data, while monitoring the current energy storage status and generating energy storage status data;

[0068] Load module, used to obtain load operating parameters in real time and generate load demand data;

[0069] The control module includes a data acquisition module, a state analysis module and a switching instruction generation module; wherein:

[0070] Data acquisition module, used to obtain energy storage status data, load demand data and external power grid status data in real time, and generate a comprehensive status data set;

[0071] The state analysis module is used to calculate based on the comprehensive state data set to generate grid adaptability results and energy storage capacity evaluation results, where the grid adaptability results are used to characterize whether the external grid meets the grid-connected operation conditions, and the energy storage capacity evaluation results are used to characterize whether the energy storage module has the ability to meet the load demand;

[0072] A switching instruction generation module is used to generate a switching instruction according to the grid adaptability result and the energy storage capacity evaluation result, wherein:

[0073] When the grid adaptability result shows that the external grid meets the grid connection conditions, a grid connection instruction is generated;

[0074] When the grid adaptability result shows that the external grid does not meet the grid connection conditions, and the energy storage capacity evaluation result shows that the energy storage module has the ability to meet the load demand, an off-grid instruction is generated;

[0075] If the energy storage capacity evaluation result shows that the energy storage module cannot meet the load demand, a load adjustment instruction is generated, and the load module is controlled to reduce the energy allocation ratio of non-critical loads;

[0076] The conversion module includes a grid-connected conversion module and an off-grid conversion module: wherein:

[0077] A grid-connected conversion module, used to convert the raw power data into grid-connected power data according to the grid-connected instruction;

[0078] An off-grid conversion module, used to convert energy storage power data into off-grid power data according to an off-grid instruction or a load adjustment instruction;

[0079] The power adjustment module is used to dynamically adjust the output power ratio of the energy storage module according to the off-grid power data in the off-grid mode to generate optimized power supply distribution data;

[0080] The load module is also used to distribute electric energy according to the optimized power supply distribution data.

[0081] In an embodiment of the present invention, solar energy is received and primary electric energy data is generated through a photovoltaic power generation module, and the energy storage module stores the primary electric energy data as energy storage quantity data, and generates energy storage status data at the same time. The load module monitors the operating parameters in real time to generate load demand data, and the control module obtains the energy storage status data, load demand data and external power grid status data through the data acquisition module to form a comprehensive status data set. The status analysis module generates a grid adaptability result and an energy storage capacity evaluation result based on the comprehensive status data, which respectively characterize the adaptability of the external power grid and the power supply capacity of the energy storage module. The switching instruction generation module generates a switching instruction based on the above results, and executes the corresponding instructions through the grid-connected conversion module or the off-grid conversion module to realize intelligent switching between grid-connected and off-grid modes. In the off-grid mode, the power adjustment module dynamically adjusts the output power ratio of the energy storage module according to the off-grid electric energy data, generates optimized power supply distribution data and transmits it to the load module for the distribution of electric energy.

[0082] Compared with existing technologies, this system realizes highly integrated intelligent control. Especially in the case of power grid fluctuations or interruptions, it can automatically switch to off-grid mode to provide continuous power supply for loads. For example, in peak load scenarios, the system reduces the energy allocation ratio of non-critical loads and gives priority to the operation of critical loads. The system has greatly improved stability and energy utilization efficiency, reduced manual intervention, and is particularly suitable for power supply guarantee in complex power environments and critical scenarios.

[0083] In a preferred embodiment of the present invention, the photovoltaic power generation module comprises:

[0084] Photovoltaic component modules, used to receive solar energy and convert it into direct current electricity to generate raw power data;

[0085] Light intensity monitoring module, used to monitor ambient light conditions in real time and generate light intensity data;

[0086] A power generation optimization control module is used to dynamically adjust the energy conversion parameters of the photovoltaic module according to the light intensity data;

[0087] The fault detection module is used to detect the working status of the photovoltaic module and generate a fault alarm signal when an abnormality occurs in the module.

[0088] In the embodiment of the present invention, the photovoltaic power generation module receives solar energy through the photovoltaic module module and generates raw power data, and the light intensity monitoring module monitors the ambient light conditions in real time and generates light intensity data. The power generation optimization control module dynamically adjusts the energy conversion parameters of the photovoltaic module module according to the light intensity data, thereby improving the power generation efficiency. The fault detection module monitors the operating status of the photovoltaic module module in real time and generates a fault alarm signal when an abnormality occurs in the module.

[0089] Compared with traditional photovoltaic systems, this setting significantly enhances the adaptability to environmental changes and the response speed to component abnormalities. For example, when the light conditions are unstable, the power generation optimization control module can dynamically adjust the conversion parameters according to the light intensity data to ensure that the power generation efficiency is maintained at the optimal level. At the same time, when the photovoltaic module is blocked or fails, the fault detection module will promptly alarm to avoid power outages or energy losses caused by abnormalities.

[0090] Specifically, the power generation optimization control module dynamically adjusts the energy conversion parameters of the photovoltaic module module by receiving the light intensity data generated by the light intensity monitoring module to optimize the photovoltaic power generation efficiency. The specific implementation steps are as follows:

[0091] Obtain light intensity data: Monitor the lighting conditions in the environment in real time, such as light intensity fluctuations, occlusion factors, or changes in sunlight angles, and generate light intensity data.

[0092] Calculate conversion parameters: Adjust key parameters of PV module based on light intensity data, such as PV array angle, maximum power point tracking (MPPT) voltage or operating temperature.

[0093] Dynamic adjustment strategy: Update the operating status of the PV modules according to the adjusted conversion parameters to maintain the maximum power generation efficiency. For example, in cloudy weather, the system can increase the sensitivity of the PV modules to obtain the maximum output in weak light.

[0094] Specifically, the fault detection module is used to monitor the working status of the photovoltaic module in real time and generate a fault alarm signal when the module is abnormal. The specific implementation steps are as follows:

[0095] Condition Monitoring: Identify the operating status of components through real-time monitoring of parameters such as voltage, current, temperature and power.

[0096] Abnormal determination: Set the threshold of the normal operating range. If the monitoring parameters exceed the preset range, the component is determined to be abnormal. For example, if the current of the PV module is significantly lower than the expected value, it may indicate shading or line problems.

[0097] Fault alarm generation: When an anomaly is confirmed, the fault detection module generates a fault alarm signal to notify maintenance personnel or trigger the system protection mechanism.

[0098] In a preferred embodiment of the present invention, the energy storage module comprises:

[0099] The energy storage unit is used to receive the raw power data and store it as energy storage power data, while monitoring the current energy storage state and generating energy storage state data;

[0100] The dynamic power allocation module is used to generate charging and discharging power ratio adjustment parameters according to energy storage status data.

[0101] In an embodiment of the present invention, the energy storage module includes an energy storage unit and a dynamic power allocation module. The energy storage unit receives raw power data and stores it as energy storage power data, and generates energy storage status data. The dynamic power allocation module generates a charge and discharge power ratio adjustment parameter to optimize energy storage resource allocation.

[0102] Specifically, the dynamic power allocation module generates charging and discharging power ratio adjustment parameters based on energy storage status data and load demand data to achieve optimal allocation of energy storage resources. The specific implementation steps are as follows:

[0103] Energy storage status monitoring: obtain the current power, charge and discharge rate and temperature data of the energy storage module to generate energy storage status data.

[0104] Load demand analysis: Calculate the total power required by critical loads and non-critical loads in real time, and dynamically allocate charging and discharging power based on load priority.

[0105] Power adjustment: Use the charge and discharge power ratio adjustment parameters to control the output of the energy storage module. For example, when the demand for high-priority loads increases, the module will prioritize increasing the output power of the energy storage module to ensure the power supply of key loads.

[0106] In a preferred embodiment of the present invention, the load module comprises:

[0107] Load acquisition module, used to obtain load operating parameters in real time and generate preliminary demand data;

[0108] The load demand classification module is used to assign load priorities to the preliminary demand data and divide it into critical load demand data and non-critical load demand data to form load demand data.

[0109] In an embodiment of the present invention, the load module includes a load acquisition module and a load demand classification module. The load acquisition module monitors the load operation parameters in real time and generates preliminary demand data, and the load demand classification module assigns load priority according to the preliminary demand data, and divides it into key load demand data and non-key load demand data, thereby forming complete load demand data.

[0110] By classifying and managing loads, this module improves the refinement of system power supply. For example, in a hospital scenario, the load demand classification module can prioritize the power supply needs of critical loads, such as medical equipment, and adjust the energy allocation for non-critical loads such as air conditioners, which not only ensures the operation of critical loads but also optimizes the utilization of system resources.

[0111] Specifically, the load demand classification module divides the load into critical load and non-critical load by analyzing the preliminary demand data. The specific implementation steps are as follows:

[0112] Data acquisition: Receive preliminary demand data from the load acquisition module, including the current, voltage, and power requirements of each load.

[0113] Classification logic: Based on preset priority strategies, such as medical equipment as a high priority, critical load demand data and non-critical load demand data are divided.

[0114] Generate results: Output classification results to form load demand data for use by subsequent modules. For example, in an emergency, power supply to non-critical loads such as lighting can be reduced to prioritize resources for critical loads such as life-sustaining equipment.

[0115] In a preferred embodiment of the present invention, the data acquisition module includes:

[0116] The real-time data screening module is used to screen the energy storage status data and the external power grid status data, remove abnormal data that may interfere with decision-making, and obtain real-time status data;

[0117] The data merging module is used to merge the real-time status data and the load demand data into one set to obtain a comprehensive status data set.

[0118] In the embodiment of the present invention, the data acquisition module is composed of a real-time data screening module and a data merging module. The real-time data screening module screens the energy storage status data and the external power grid status data, removes abnormal data and generates real-time status data. The data merging module merges the real-time status data and the load demand data to form a comprehensive status data set, which provides a basis for subsequent status analysis.

[0119] This module setting improves the accuracy and efficiency of data processing. For example, when the external power grid status data fluctuates abnormally due to interference, the real-time data screening module can effectively filter out invalid data to avoid affecting subsequent analysis and decision-making. The data merging module integrates multiple data sources to ensure the integrity and consistency of the comprehensive status data, providing more reliable basic data support for system operation.

[0120] Specifically, the real-time data screening module is used to remove abnormal data and ensure the accuracy of the comprehensive status data. The specific implementation steps are as follows:

[0121] Data acquisition: Receive raw data from energy storage modules and external grid status in real time.

[0122] Anomaly detection: By setting a threshold range, such as a grid frequency of 50±0.5Hz, data points that do not meet the standards are eliminated.

[0123] Valid data output: Generates cleaned and reliable data for subsequent analysis. For example, when the sensor generates noise due to external interference, the module can filter out these invalid data to avoid interfering with system decision-making.

[0124] In a preferred embodiment of the present invention, the state analysis module includes:

[0125] The grid adaptability analysis module is used to analyze the voltage fluctuation, frequency consistency and power stability of the grid according to the external grid status data, and generate the grid adaptability results; the grid adaptability results are evaluated by the following formula:

[0126] ,in, Scoring the grid adaptability to assess the operational adaptability of the external grid. and are the start time and end time of the time integration, is the time variable, , , is the weight coefficient, is the real-time voltage deviation, , is the voltage measured in real time, is the rated voltage, is the real-time frequency deviation, , is the frequency measured in real time, is the rated frequency, Scoring the grid power stability, , is the standard deviation of real-time power fluctuation, is the maximum rated power of the power grid, is the time constant;

[0127] The energy storage capacity dynamic evaluation module is used to calculate the remaining power supply time and load satisfaction rate of the energy storage module under the current operating conditions according to the energy storage status data and load demand data, and generate the energy storage capacity evaluation result; the remaining power supply time and load satisfaction rate are calculated by the following formula:

[0128] ,in, The remaining power supply time, is the adjustment coefficient, The value range is between 0 and 1. is the maximum capacity of the energy storage module, is the current capacity of the energy storage module, , is the real-time charging power, is the real-time discharge power, , are the charging efficiency and discharging efficiency, respectively. is the total time range, is the average power demand of the current load;

[0129] ,in, is the load satisfaction rate, For the The energy storage module is given to The power shared by each load, For the The performance weight coefficient of each energy storage module is: The value range is between 0 and 1. For the The total power required by the loads, is the number of energy storage modules, is the number of loads.

[0130] In an embodiment of the present invention, the state analysis module includes a power grid adaptability analysis module and an energy storage capacity dynamic evaluation module. The power grid adaptability analysis module analyzes the voltage fluctuation, frequency consistency and power stability of the power grid according to the external power grid state data, and generates a power grid adaptability result through the power grid adaptability formula to characterize whether the external power grid meets the grid-connected operation conditions. The energy storage capacity dynamic evaluation module calculates the remaining power supply time and load satisfaction rate of the energy storage module based on the energy storage state data and load demand data, generates an energy storage capacity evaluation result, and thus characterizes the power supply capacity of the energy storage module.

[0131] This setting enhances the system's real-time analysis capabilities of the power grid and energy storage status. For example, when the power grid frequency fluctuation exceeds the set range, the power grid adaptability analysis module can quickly generate low adaptability results, prompting the system to switch to off-grid mode. At the same time, the energy storage capacity dynamic evaluation module can prioritize resource allocation for key loads by calculating the remaining power supply time, which is particularly suitable for efficient operation in complex power environments.

[0132] In a preferred embodiment of the present invention, the switching instruction generating module includes:

[0133] A grid connection determination module is used to determine whether the grid connection conditions of the external grid are met according to the grid adaptability result, and if so, generate a grid connection instruction;

[0134] The off-grid determination module is used to determine whether the energy storage module has independent power supply capability when the grid adaptability result indicates that the external grid does not meet the grid connection conditions, combined with the energy storage capacity evaluation result. If so, an off-grid instruction is generated;

[0135] A load adjustment determination module is used to prioritize the allocation of electric energy to critical loads and dynamically adjust the power supply ratio of non-critical loads and generate load adjustment instructions when the energy storage capacity evaluation result indicates that the energy storage module cannot meet the current load demand;

[0136] The instruction priority setting module is used to dynamically adjust the execution priority and generate the switching instruction according to the grid connection instruction, the grid-off instruction and the load adjustment instruction.

[0137] In an embodiment of the present invention, a switching instruction generation module includes a grid-connected determination module, an off-grid determination module, a load adjustment determination module, and an instruction priority setting module. The grid-connected determination module determines whether the external power grid meets the grid-connected conditions according to the grid adaptability results, and generates a grid-connected instruction if it does. The off-grid determination module determines whether the energy storage module has independent power supply capabilities based on the grid adaptability results and the energy storage capacity evaluation results, and generates an off-grid instruction if it does. When the energy storage capacity evaluation results indicate that the energy storage module cannot meet the load demand, the load adjustment determination module prioritizes the allocation of critical load power, dynamically adjusts the power supply ratio of non-critical loads, and generates a load adjustment instruction. The instruction priority setting module generates a switching instruction according to the priorities of multiple instructions.

[0138] This module setting improves the system's dynamic switching capabilities in complex scenarios. For example, when the power grid is interrupted, the system can quickly determine whether the energy storage module meets the load demand and give priority to powering high-priority loads, while reducing the energy allocation ratio of non-critical loads to ensure the stable operation of key equipment. Compared with traditional technologies, this module further optimizes the switching process through priority setting and reduces unnecessary energy waste.

[0139] In a preferred embodiment of the present invention, the grid-connected conversion module comprises:

[0140] A grid-connected instruction execution module, used for converting the native electric energy data into grid-connected electric energy data according to the grid-connected instruction, and outputting it to the external power grid;

[0141] The voltage regulation module is used to dynamically adjust the output voltage of the grid-connected power data according to the voltage fluctuation of the external power grid;

[0142] The frequency synchronization module is used to adjust the frequency of the grid-connected power data in real time according to the grid-connected instructions to keep it consistent with the frequency of the external power grid;

[0143] The conversion control module is used to adjust the conversion ratio of the raw power data according to the load demand data and the energy storage status data.

[0144] In an embodiment of the present invention, the grid-connected conversion module includes a grid-connected instruction execution module, a voltage regulation module, a frequency synchronization module and a conversion control module. The grid-connected instruction execution module converts the native power data into grid-connected power data according to the grid-connected instruction, and outputs it to the external power grid. The voltage regulation module is used to dynamically adjust the output voltage of the grid-connected power data to match the voltage of the external power grid. The frequency synchronization module adjusts the frequency of the grid-connected power data according to the grid-connected instruction to keep it consistent with the frequency of the external power grid. The conversion control module adjusts the conversion ratio of the native power data according to the load demand data and the energy storage status data.

[0145] This module setting significantly improves the stability and energy efficiency of grid-connected operation. For example, when the external grid voltage fluctuates, the voltage regulation module can quickly adjust the output voltage to avoid grid-connected failures caused by inconsistent voltage. At the same time, the frequency synchronization module synchronizes the frequency in real time, so that the output power always meets the grid requirements, greatly improving the safety and reliability of grid connection.

[0146] Specifically, the conversion control module dynamically adjusts the conversion ratio of raw power data according to load demand data and energy storage status data. The specific implementation process is as follows:

[0147] Demand analysis: Obtain load demand data and calculate the total power required by the current load.

[0148] Status assessment: Analyze energy storage status data, including remaining power and current charging and discharging efficiency.

[0149] Conversion ratio control: According to demand and energy storage status, the grid-connected and energy storage allocation ratio of raw power data is adjusted. For example, when the energy storage capacity is sufficient, more raw power data can be converted into grid-connected power data to improve grid-connected benefits.

[0150] In a preferred embodiment of the present invention, the power adjustment module includes:

[0151] The dynamic power allocation module is used to allocate off-grid power data according to energy storage status data and load demand data to generate power supply allocation data; the power supply allocation data is allocated according to the following formula:

[0152] in, is the power supply allocation index, , , is the adjustment factor, , is a periodic wave function, For the The priority weight of each load, , For the The load fluctuation frequency, For the The running time of a load, is the time decay factor, , is the time constant.

[0153] In an embodiment of the present invention, the power adjustment module includes a dynamic power allocation module, which is used to allocate off-grid power data according to energy storage status data and load demand data to generate power supply allocation data. Through the power supply allocation formula, the system can dynamically adjust the allocation ratio according to energy storage capacity and load priority to ensure that key loads receive priority support. The allocation result is further transmitted to the load module for specific power supply operations by optimizing the power supply allocation data.

[0154] This setting improves the accuracy and intelligence of power distribution in off-grid mode. For example, when the energy storage capacity approaches the threshold, the dynamic power distribution module can automatically reduce the power distribution ratio of non-critical loads, giving priority to the continuous operation of critical loads such as medical equipment. Compared with the traditional fixed distribution technology, this module achieves the optimal utilization of energy storage resources through formulaic dynamic adjustment.

[0155] In a preferred embodiment of the present invention, the load module further comprises:

[0156] A power dynamic distribution module, used to dynamically adjust the power supply ratio of critical loads and non-critical loads according to the optimized power supply distribution data to obtain a first power supply distribution strategy;

[0157] The load status monitoring module is used to detect the operating status of each load in real time and generate load operation feedback data;

[0158] A feedback optimization module, used to adjust the first power supply allocation strategy according to the load operation feedback data to obtain a second power supply allocation strategy;

[0159] The power output module is used to supply power to each load according to the first power distribution strategy or the second power distribution strategy.

[0160] In an embodiment of the present invention, the load module includes a power dynamic distribution module, a load state monitoring module, a feedback optimization module and a power output module. The power dynamic distribution module dynamically adjusts the power supply ratio of critical loads and non-critical loads according to the optimized power supply distribution data, and generates a first power supply distribution strategy. The load state monitoring module detects the operating status of each load in real time and generates load operation feedback data. The feedback optimization module adjusts the first power supply distribution strategy according to the feedback data and generates a second power supply distribution strategy. The power output module supplies power to each load according to the first or second power supply distribution strategy.

[0161] This module setting realizes intelligent power supply management through real-time feedback mechanism and power supply strategy optimization. For example, when the demand for key loads increases, the feedback optimization module can dynamically adjust the allocation strategy to allocate more power to key loads to ensure their normal operation. At the same time, the power dynamic allocation module reduces the energy allocation of non-critical loads to improve the efficiency of energy storage resources.

[0162] Specifically, the power dynamic distribution module adjusts the power supply ratio of critical loads and non-critical loads according to the optimized power supply distribution data. The specific implementation process is as follows:

[0163] Receive data: receive optimized power distribution data from the power adjustment module.

[0164] Distribution strategy: Adjust the power supply ratio of each load based on the optimized power supply distribution data. For example, prioritize the power supply of key loads such as medical equipment and reduce the power supply of non-key loads.

[0165] Output control: Output electrical energy to each load to ensure continuous operation of high priority loads.

[0166] Specifically, the load status monitoring module is used to monitor the operating status of each load in real time and generate feedback data. The specific implementation process is as follows:

[0167] Status acquisition: Monitor the voltage, current and power status of the load in real time through sensors.

[0168] Data feedback: Generate load operation feedback data, including dynamic changes in load power demand.

[0169] Feedback optimization: The feedback data is transmitted to the power supply strategy optimization module to adjust the first power supply allocation strategy, generate the second power supply allocation strategy, and further optimize the system power supply solution.

[0170] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A photovoltaic energy storage system integrated with on-grid and off-grid, characterized in that: The system comprises: Photovoltaic power generation module, used to receive solar energy and convert it into direct current electricity to generate raw power data; The energy storage module is used to receive the raw power data and store it as energy storage power data, while monitoring the current energy storage status and generating energy storage status data; Load module, used to obtain load operating parameters in real time and generate load demand data; The control module includes a data acquisition module, a state analysis module and a switching instruction generation module; wherein: Data acquisition module, used to obtain energy storage status data, load demand data and external power grid status data in real time, and generate a comprehensive status data set; The state analysis module is used to calculate based on the comprehensive state data set to generate grid adaptability results and energy storage capacity evaluation results, where the grid adaptability results are used to characterize whether the external grid meets the grid-connected operation conditions, and the energy storage capacity evaluation results are used to characterize whether the energy storage module has the ability to meet the load demand; A switching instruction generation module is used to generate a switching instruction according to the grid adaptability result and the energy storage capacity evaluation result, wherein: When the grid adaptability result shows that the external grid meets the grid connection conditions, a grid connection instruction is generated; When the grid adaptability result shows that the external grid does not meet the grid connection conditions, and the energy storage capacity evaluation result shows that the energy storage module has the ability to meet the load demand, an off-grid instruction is generated; If the energy storage capacity evaluation result shows that the energy storage module cannot meet the load demand, a load adjustment instruction is generated, and the load module is controlled to reduce the energy allocation ratio of non-critical loads; The conversion module includes a grid-connected conversion module and an off-grid conversion module: wherein: A grid-connected conversion module, used to convert the raw power data into grid-connected power data according to the grid-connected instruction; An off-grid conversion module, used to convert energy storage power data into off-grid power data according to an off-grid instruction or a load adjustment instruction; The power adjustment module is used to dynamically adjust the output power ratio of the energy storage module according to the off-grid power data in the off-grid mode to generate optimized power supply distribution data; The load module is also used to distribute electric energy according to the optimized power supply distribution data; The state analysis module comprises: The grid adaptability analysis module is used to analyze the voltage fluctuation, frequency consistency and power stability of the grid according to the external grid status data, and generate the grid adaptability results; the grid adaptability results are evaluated by the following formula: ,in, Scoring the grid adaptability to assess the operational adaptability of the external grid. and are the start time and end time of the time integration, is the time variable, , , is the weight coefficient, is the real-time voltage deviation, , is the voltage measured in real time, is the rated voltage, is the real-time frequency deviation, , is the frequency measured in real time, is the rated frequency, Scoring the grid power stability, , is the standard deviation of real-time power fluctuation, is the maximum rated power of the power grid, is the time constant; The energy storage capacity dynamic evaluation module is used to calculate the remaining power supply time and load satisfaction rate of the energy storage module under the current operating conditions according to the energy storage status data and load demand data, and generate the energy storage capacity evaluation result; the remaining power supply time and load satisfaction rate are calculated by the following formula: ,in, The remaining power supply time, is the adjustment coefficient, The value range is between 0 and 1. is the maximum capacity of the energy storage module, is the current capacity of the energy storage module, , is the real-time charging power, is the real-time discharge power, , are the charging efficiency and discharging efficiency, respectively. is the total time range, is the average power demand of the current load; ,in, is the load satisfaction rate, For the The energy storage module is given to The power shared by each load, For the The performance weight coefficient of each energy storage module is: The value range is between 0 and 1. For the The total power required by the loads, is the number of energy storage modules, is the number of loads; The power adjustment module comprises: The dynamic power allocation module is used to allocate off-grid power data according to energy storage status data and load demand data to generate power supply allocation data; the power supply allocation data is allocated according to the following formula: in, is the power supply allocation index, , , is the adjustment factor, , is a periodic wave function, For the The priority weight of each load, , For the The load fluctuation frequency, For the The running time of a load, is the time decay factor, , is the time constant.

2. The on-grid and off-grid integrated photovoltaic energy storage system according to claim 1, characterized in that: The photovoltaic power generation module comprises: Photovoltaic component modules, used to receive solar energy and convert it into direct current electricity to generate raw power data; Light intensity monitoring module, used to monitor ambient light conditions in real time and generate light intensity data; A power generation optimization control module is used to dynamically adjust the energy conversion parameters of the photovoltaic module according to the light intensity data; The fault detection module is used to detect the working status of the photovoltaic module and generate a fault alarm signal when an abnormality occurs in the module.

3. The on-grid and off-grid integrated photovoltaic energy storage system according to claim 2, characterized in that: The energy storage module comprises: The energy storage unit is used to receive the raw power data and store it as energy storage power data, while monitoring the current energy storage state and generating energy storage state data; The dynamic power allocation module is used to generate charging and discharging power ratio adjustment parameters according to energy storage status data.

4. The on-grid and off-grid integrated photovoltaic energy storage system according to claim 3, characterized in that: The load module comprises: Load acquisition module, used to obtain load operating parameters in real time and generate preliminary demand data; The load demand classification module is used to assign load priorities to the preliminary demand data and divide it into critical load demand data and non-critical load demand data to form load demand data.

5. The on-grid and off-grid integrated photovoltaic energy storage system according to claim 4, characterized in that: The data acquisition module comprises: The real-time data screening module is used to screen the energy storage status data and the external power grid status data, remove abnormal data that may interfere with decision-making, and obtain real-time status data; The data merging module is used to merge the real-time status data and the load demand data into one set to obtain a comprehensive status data set.

6. The on-grid and off-grid integrated photovoltaic energy storage system according to claim 5, characterized in that: The switching instruction generating module comprises: A grid connection determination module is used to determine whether the grid connection conditions of the external grid are met according to the grid adaptability result, and if so, generate a grid connection instruction; The off-grid determination module is used to determine whether the energy storage module has independent power supply capability when the grid adaptability result indicates that the external grid does not meet the grid connection conditions, combined with the energy storage capacity evaluation result. If so, an off-grid instruction is generated; A load adjustment determination module is used to prioritize the allocation of electric energy to critical loads and dynamically adjust the power supply ratio of non-critical loads and generate load adjustment instructions when the energy storage capacity evaluation result indicates that the energy storage module cannot meet the current load demand; The instruction priority setting module is used to dynamically adjust the execution priority and generate the switching instruction according to the grid connection instruction, the grid-off instruction and the load adjustment instruction.

7. The on-grid and off-grid integrated photovoltaic energy storage system according to claim 6, characterized in that: The grid-connected conversion module comprises: A grid-connected instruction execution module, used for converting the native electric energy data into grid-connected electric energy data according to the grid-connected instruction, and outputting it to the external power grid; The voltage regulation module is used to dynamically adjust the output voltage of the grid-connected power data according to the voltage fluctuation of the external power grid; The frequency synchronization module is used to adjust the frequency of the grid-connected power data in real time according to the grid-connected instructions to keep it consistent with the frequency of the external power grid; The conversion control module is used to adjust the conversion ratio of the raw power data according to the load demand data and the energy storage status data.

8. The on-grid and off-grid integrated photovoltaic energy storage system according to claim 7, characterized in that: The load module also includes: A power dynamic distribution module, used to dynamically adjust the power supply ratio of critical loads and non-critical loads according to the optimized power supply distribution data to obtain a first power supply distribution strategy; The load status monitoring module is used to detect the operating status of each load in real time and generate load operation feedback data; A feedback optimization module, used to adjust the first power supply allocation strategy according to the load operation feedback data to obtain a second power supply allocation strategy; The power output module is used to supply power to each load according to the first power distribution strategy or the second power distribution strategy.

Images