Solar energy storage control method

Abstract

The invention relates to a solar energy storage control method. The method comprises the following steps: acquiring real-time environment data and real-time use data corresponding to each piece of electric energy use equipment, and adjusting electric power; when it is detected that the equipment state data corresponding to the solar energy storage equipment is abnormal, the set load power of the solar energy storage equipment is adjusted to the abnormal maximum load power according to the equipment state data corresponding to the solar energy storage equipment; according to the real-time environment data and the real-time use data, target use equipment is selected from the electric energy use equipment; and according to the emergency equipment operation data of the solar energy storage equipment and the abnormal maximum load power, performing emergency adjustment on the adjustment electricity utilization power of each target use equipment, and generating emergency electricity utilization power corresponding to each target use equipment. By adopting the method, sufficient electricity utilization power can be continuously provided for electricity utilization equipment under the emergency condition, and the stability and the safety of electric power supply are also remarkably enhanced.

Description

Technical Field

[0001] The present application relates to the field of power safety technology, and in particular to a solar energy storage control method. Background Art

[0002] With the development of power technology, solar energy storage control technology has emerged. This technology aims to intelligently manage and optimize the discharge process of the energy storage system to ensure efficient use of energy and long-term stable operation of the system. By monitoring solar power generation, energy storage status and electricity demand, the control system can adjust the working mode of the energy storage equipment to prevent overcharging and over-discharging and extend battery life. At the same time, the technology can also automatically adjust the release of energy according to power demand and electricity price fluctuations, maximize economic benefits and improve the reliability of energy supply.

[0003] Traditional technologies mainly rely on basic battery management systems (BMS) and simple logic controllers to manage the battery discharge process through preset thresholds and rules. These systems usually use fixed voltage and current set points to avoid over-discharge of the battery, and implement basic energy management through timers or simple feedback loops. However, traditional technologies have certain limitations when dealing with complex fluctuations in power demand and environmental changes. In emergency situations, they are often unable to fully and timely adjust the discharge strategy according to the current situation, resulting in the inability to continue to provide sufficient power to the power-consuming equipment in an emergency. Summary of the invention

[0004] Based on this, it is necessary to provide a solar energy storage control method, device, computer equipment, computer-readable storage medium and computer program product that can continue to provide sufficient power for power-consuming equipment in an emergency situation to address the above technical problems.

[0005] In a first aspect, the present application provides a solar energy storage control method, comprising:

[0006] Obtain real-time environmental data and real-time usage data corresponding to each power-using device and adjust power consumption;

[0007] When detecting that the device status data corresponding to the solar energy storage device is abnormal, adjusting the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device;

[0008] and, selecting each target user device from each of the electric energy user devices according to the real-time environment data and the real-time usage data;

[0009] According to the emergency equipment operation data of the solar energy storage equipment and the abnormal maximum load power, emergency adjustment is performed on the adjusted power of each of the target usage equipment to generate the emergency power corresponding to each of the target usage equipment.

[0010] In a second aspect, the present application also provides a solar energy storage control device, comprising:

[0011] A data acquisition module is used to obtain real-time environmental data and real-time usage data corresponding to each power-using device and adjust the power consumption;

[0012] A power adjustment module, configured to adjust the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device when an abnormality is detected in the device status data corresponding to the solar energy storage device;

[0013] A device selection module, configured to select each target user device from each of the electric energy user devices according to the real-time environment data and the real-time usage data;

[0014] The power adjustment module is also used to make emergency adjustments to the adjusted power of each target device according to the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, and generate the emergency power corresponding to each target device.

[0015] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0016] Obtain real-time environmental data and real-time usage data corresponding to each power-using device and adjust power consumption;

[0017] When detecting that the device status data corresponding to the solar energy storage device is abnormal, adjusting the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device;

[0018] and, selecting each target user device from each of the electric energy user devices according to the real-time environment data and the real-time usage data;

[0019] According to the emergency equipment operation data of the solar energy storage equipment and the abnormal maximum load power, emergency adjustment is performed on the adjusted power of each of the target usage equipment to generate the emergency power corresponding to each of the target usage equipment.

[0020] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0021] Obtain real-time environmental data and real-time usage data corresponding to each power-using device and adjust power consumption;

[0022] When detecting that the device status data corresponding to the solar energy storage device is abnormal, adjusting the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device;

[0023] and, selecting each target user device from each of the electric energy user devices according to the real-time environment data and the real-time usage data;

[0024] According to the emergency equipment operation data of the solar energy storage equipment and the abnormal maximum load power, emergency adjustment is performed on the adjusted power of each of the target usage equipment to generate the emergency power corresponding to each of the target usage equipment.

[0025] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0026] Obtain real-time environmental data and real-time usage data corresponding to each power-using device and adjust power consumption;

[0027] When detecting that the device status data corresponding to the solar energy storage device is abnormal, adjusting the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device;

[0028] and, selecting each target user device from each of the electric energy user devices according to the real-time environment data and the real-time usage data;

[0029] According to the emergency equipment operation data of the solar energy storage equipment and the abnormal maximum load power, emergency adjustment is performed on the adjusted power of each of the target usage equipment to generate the emergency power corresponding to each of the target usage equipment.

[0030] The above-mentioned solar energy storage control method, device, computer equipment, storage medium and computer program product obtain the real-time environmental data, real-time usage data and adjusted power consumption corresponding to each electric energy-using device; when it is detected that the device status data corresponding to the solar energy storage device is abnormal, the set load power of the solar energy storage device is adjusted to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device; and, according to the real-time environmental data and the real-time usage data, each target user device is selected from each electric energy-using device; according to the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, the adjusted power consumption of each target user device is emergency adjusted to generate the emergency power consumption corresponding to each target user device.

[0031] By collecting and analyzing the environmental data and usage data of power-using equipment in real time, accurate dynamic adjustment of equipment power can be achieved. When the solar energy storage equipment detects an abnormality, it can respond quickly and adjust to the optimal load power according to the equipment status data to maximize the load handling capacity of the equipment and avoid the collapse of the solar energy storage equipment or power supply interruption caused by the abnormality. At the same time, by making emergency power adjustments to the target equipment, on the basis of ensuring the normal operation of the equipment, the power supply of key equipment is prioritized and the allocation of power resources is optimized. This combination of real-time monitoring and intelligent emergency handling not only improves the adaptive ability of solar energy storage equipment in complex environments, so that it can continue to provide sufficient power for power-consuming equipment in emergency situations, but also significantly enhances the stability and safety of power supply, thereby extending the service life of the equipment, reducing the maintenance cost of solar energy storage equipment, and improving the efficiency and benefits of overall energy management. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 An application environment diagram of a solar energy storage control method in one embodiment;

[0034] Figure 2 A schematic diagram of a process of controlling a solar energy storage method in one embodiment;

[0035] Figure 3 A schematic diagram of a flow chart of a method for generating emergency electric power in one embodiment;

[0036] Figure 4A schematic diagram of a flow chart of a method for generating emergency electric power in another embodiment;

[0037] Figure 5 A schematic diagram of a flow chart of an abnormal maximum load power adjustment method in one embodiment;

[0038] Figure 6 A schematic diagram of a flow chart of a method for adjusting electric power in one embodiment;

[0039] Figure 7 It is a structural block diagram of a solar energy storage control device in one embodiment;

[0040] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0042] The solar energy storage control method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 obtains the real-time environmental data, real-time usage data and adjusted power consumption corresponding to each power-using device through the terminal 102; when the device status data corresponding to the solar energy storage device is detected to be abnormal, according to the device status data corresponding to the solar energy storage device, the set load power of the solar energy storage device is adjusted to the abnormal maximum load power; and, according to the real-time environmental data and real-time usage data, each target user device is selected from each power-using device; according to the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, the adjusted power consumption of each target user device is adjusted in an emergency manner to generate the emergency power consumption corresponding to each target user device. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0043] In an exemplary embodiment, Figure 2As shown, a solar energy storage control method is provided, which is applied to Figure 1 The server in the example is used to illustrate, including the following steps 202 to 208. Among them:

[0044] Step 202, obtaining real-time environmental data and real-time usage data corresponding to each power-using device and adjusting power consumption.

[0045] Among them, real-time environmental data can be various data reflecting the current environmental conditions that are instantly acquired by sensors or other data acquisition devices during the operation of the equipment. These data usually include temperature, humidity, light intensity, wind speed and other external conditions that affect the performance and operation status of the equipment.

[0046] Among them, real-time usage data can be various data about the current operation status of the device obtained in real time by monitoring the actual operation status of the device during the operation of the device. These data usually include information such as the current, voltage, power consumption, load status of the device, etc. Real-time usage data can reflect the actual usage of the device at different time points.

[0047] Among them, adjusting the power consumption can be to dynamically change the power input power obtained by the power-using device according to the real-time environmental data and usage data of the device to optimize its operating efficiency and stability.

[0048] Specifically, by deploying sensors and data acquisition equipment, the environmental data (such as temperature, humidity, light, etc.) and usage data (such as current, voltage, power, etc.) of each power-using device are monitored in real time to obtain real-time environmental data and real-time usage data. The real-time environmental data and real-time usage data are transmitted to the central control system through the Internet of Things or other communication protocols. The system processes and analyzes the real-time environmental data and real-time usage data, and the system automatically generates and adjusts the power consumption according to the analysis results to ensure that it operates under the best working conditions.

[0049] Step 204, when it is detected that the device status data corresponding to the solar energy storage device is abnormal, adjust the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device.

[0050] Among them, solar energy storage equipment can be a device that converts solar energy obtained through solar panels into electrical energy and stores it for subsequent use. Such equipment usually includes key components such as solar panels, inverters, charge controllers and battery packs. Its main function is to collect and store electrical energy when there is sufficient sunlight, so as to provide a stable power supply for homes, industrial facilities or power grids when there is no sunlight at night or on cloudy days.

[0051] Among them, the equipment status data can be various real-time information about the current operating status and health status of the solar energy storage equipment. These data usually include indicators such as voltage, current, temperature, operating time, load level, charge and discharge status, and fault alarm.

[0052] The set load power can be the power value of the power output or input preset by the solar energy storage device, which represents the power level that the solar energy storage device should reach or maintain under normal operating conditions. This set value is usually determined based on the design specifications, usage requirements and safety standards of the solar energy storage device to ensure that the device operates within the optimal power range to avoid overload, overheating or inefficient operation.

[0053] The abnormal maximum load power may be the maximum power output or input value that the solar energy storage device can still safely withstand when an abnormality occurs in the solar energy storage device. This value fluctuates in real time as the abnormal situation changes.

[0054] Specifically, the device status data of the solar energy storage device is monitored in real time through sensors and monitoring systems, such as voltage, current, temperature, charging and discharging status, etc. If the device status data corresponding to the solar energy storage device is detected to be abnormal (such as too high temperature, too fast charging, etc.), that is, if the device status data corresponding to the solar energy storage device is detected to have abnormal data, the solar energy storage device will immediately analyze the type of abnormality and its possible impact, and calculate the power reduction value according to the preset algorithm or rule, and further automatically adjust the set load power of the solar energy storage device according to the power reduction value, so that the power of the solar energy storage device is at the maximum safe load power that can be tolerated.

[0055] Step 206 , selecting each target user device from each power user device according to the real-time environment data and the real-time usage data.

[0056] The target user equipment may be an electric energy user equipment that still needs to be guaranteed to operate when the solar energy storage equipment has an abnormality.

[0057] Specifically, in the event of an abnormality in the solar energy storage device, the solar energy storage device will use real-time environmental data and real-time usage data to analyze the current actual operating conditions of each electric energy-using device, and based on the analysis results, select some or all of the electric energy-using devices that meet the minimum operating requirements under both the current actual operating conditions and the abnormality of the solar energy storage device from all the electric energy-using devices connected to the solar energy storage device as target users.

[0058] Step 208 , based on the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, emergency adjustment is performed on the adjusted power consumption of each target user equipment to generate the emergency power consumption corresponding to each target user equipment.

[0059] The emergency equipment operation data may be various key operation parameters of the solar energy storage device when an abnormal situation occurs.

[0060] Among them, emergency power can be the power allocated by solar energy storage equipment to ensure that key equipment or systems can continue to operate in abnormal situations.

[0061] Specifically, the operation data of emergency equipment that continues to operate under abnormal conditions of solar energy storage equipment is monitored in real time, including the current energy storage status, available emergency power, output power, etc. When the solar energy storage equipment detects an abnormal condition and has adjusted the load power to the abnormal maximum load power, the solar energy storage equipment will evaluate the power resources that can be allocated to each target user device based on the emergency equipment operation data, and further the solar energy storage equipment will dynamically adjust the power consumption of each target user device. If the total power of each target user device after adjustment is greater than the abnormal maximum load power, the power consumption of each target device will continue to be dynamically adjusted until the total power of each target user device is less than the abnormal maximum load power, and the emergency power consumption corresponding to each target user device is obtained.

[0062] In the above-mentioned solar energy storage control method, real-time environmental data, real-time usage data and adjusted power consumption corresponding to each electric energy-using device are obtained; when an abnormality is detected in the device status data corresponding to the solar energy storage device, the set load power of the solar energy storage device is adjusted to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device; and, according to the real-time environmental data and the real-time usage data, each target user device is selected from each electric energy-using device; according to the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, the adjusted power consumption of each target user device is emergency adjusted to generate the emergency power consumption corresponding to each target user device.

[0063] By collecting and analyzing the environmental data and usage data of power-using equipment in real time, accurate dynamic adjustment of equipment power can be achieved. When the solar energy storage equipment detects an abnormality, it can respond quickly and adjust to the optimal load power according to the equipment status data to maximize the load handling capacity of the equipment and avoid the collapse of the solar energy storage equipment or power supply interruption caused by the abnormality. At the same time, by making emergency power adjustments to the target equipment, on the basis of ensuring the normal operation of the equipment, the power supply of key equipment is prioritized and the allocation of power resources is optimized. This combination of real-time monitoring and intelligent emergency handling not only improves the adaptive ability of solar energy storage equipment in complex environments, so that it can continue to provide sufficient power for power-consuming equipment in emergency situations, but also significantly enhances the stability and safety of power supply, thereby extending the service life of the equipment, reducing the maintenance cost of solar energy storage equipment, and improving the efficiency and benefits of overall energy management.

[0064] In an exemplary embodiment, Figure 3 As shown, according to the emergency equipment operation data of the solar energy storage equipment and the abnormal maximum load power, the adjusted power of each target device is adjusted to generate the emergency power corresponding to each target device, including steps 302 to 304. Among them:

[0065] Step 302: Select each high-priority power-consuming device and each low-priority power-consuming device from each target user device based on the emergency device operation data.

[0066] Specifically, the currently available power resources and energy storage status of the solar energy storage equipment are evaluated based on the emergency equipment operation data. The solar energy storage equipment will then prioritize each target device and classify them into high-priority devices and low-priority devices based on the importance, operation requirements, and functionality of the target devices in emergency situations. High-priority devices are usually mission-critical devices or devices that must operate continuously at full power or high-power continuous operation, while low-priority devices can operate continuously at low power or intermittently at low power when power is tight, but cannot be turned off.

[0067] Step 304 , according to the abnormal maximum load power, the adjusted power consumption of each high priority power-consuming device and each low priority power-consuming device is adjusted to obtain the emergency power consumption corresponding to each target power-consuming device.

[0068] Specifically, based on the determined abnormal maximum load power, combined with the currently available power resources and energy storage status, the solar energy storage equipment will prioritize the output power distribution to high-priority power users, ensuring that each target user device can continue to operate in the event of an abnormality in the solar energy storage equipment, while appropriately reducing or suspending the power supply to low-priority power users. The solar energy storage equipment dynamically adjusts their power consumption according to the priority and operating requirements of each device, generating emergency power consumption for each target user device in an emergency.

[0069] In this embodiment, by selecting high-priority and low-priority power-consuming devices from the emergency equipment operation data, it is ensured that the power supply of key equipment is prioritized in emergency situations. By adjusting the power consumption of each device according to the abnormal maximum load power, the allocation of power resources can be optimized, so that high-priority devices can still operate stably under abnormal conditions, while reasonably controlling the power consumption of low-priority devices. This hierarchical control mechanism improves the response capability and reliability of solar energy storage equipment in emergency situations, ensuring that the core functions of solar energy storage equipment are maintained when power resources are limited, and avoiding further damage or failure due to overload.

[0070] In an exemplary embodiment, Figure 4 As shown, according to the abnormal maximum load power, the adjusted power consumption of each high-priority power-consuming device and each low-priority power-consuming device is adjusted to obtain the emergency power consumption corresponding to each target power-consuming device, including steps 402 to 406. Among them:

[0071] Step 402, when the sum of the adjusted power consumption of each high-priority power-consuming device and each low-priority power-consuming device is greater than the abnormal maximum load power, identify the high-priority device operation data corresponding to each high-priority power-consuming device and the low-priority device operation data corresponding to each low-priority power-consuming device from the emergency device operation data.

[0072] The high-priority equipment operation data may be emergency equipment operation data and operation data related to high-priority electrical equipment.

[0073] The low-priority equipment operation data may be emergency equipment operation data and operation data related to low-priority electrical equipment.

[0074] Specifically, if the data obtained by summing the adjusted power consumption of each high-priority power consumer and the adjusted power consumption of each low-priority power consumer is greater than the abnormal maximum load power, the solar energy storage device will further analyze the emergency equipment operation data, apply for a network model through the attention mechanism, identify the high-priority equipment operation data corresponding to each high-priority power consumer in the emergency equipment operation data (such as current power demand, operating status, importance, etc.), and identify the low-priority equipment operation data for each low-priority power consumer in the emergency equipment operation data.

[0075] Step 404, according to the power adjustment algorithm for power consuming devices, calculate the high priority device power adjustment amount for each high priority device corresponding to the operating data of each high priority device, and calculate the low priority device power adjustment amount for each low priority device corresponding to the operating data of each low priority device.

[0076] Among them, the power adjustment algorithm for electric devices can be a calculation method for dynamically adjusting and optimizing the power consumption of devices. The algorithm calculates the power adjustment required for each device based on the real-time monitored device operation data (such as current power demand, device status, priority, etc.) to ensure that the device can remain within the optimal power range under different operating conditions.

[0077] The power adjustment amount for the high-priority device may be a power adjustment amount for the high-priority device.

[0078] The power adjustment amount for low-priority devices may be a power adjustment amount for low-priority devices.

[0079] Specifically, according to the preset power adjustment algorithm for electrical equipment, the real-time operation data (such as current power demand, equipment health status, importance level, etc.) of each high-priority electrical equipment and low-priority electrical equipment are extracted respectively. For the calculation of the power adjustment amount of high-priority electrical equipment, the solar energy storage device will give priority to ensuring that its power demand is met. The solar energy storage device uses the above-extracted data to calculate the specific power value that needs to be increased or decreased, which is called the power adjustment amount of high-priority equipment. On the basis of ensuring the power supply power of each of the above-mentioned high-priority electrical equipment, for the calculation of the power adjustment amount of low-priority electrical equipment, the solar energy storage device will ensure that it does not affect the stability of the overall system. Then, the solar energy storage device uses the above-extracted data to calculate the power supply power that should be reduced, which is called the power adjustment amount of low-priority equipment.

[0080] Among them, the expression of the power adjustment algorithm of the electrical equipment is:

[0081]

[0082] Among them, P adj_i The emergency power corresponding to the equipment used for the i-th target; P i is the adjusted power consumption corresponding to the i-th target user device; α is the power adjustment coefficient of the high-priority power user device; β is the power adjustment coefficient of the low-priority power user device; P max Abnormal maximum load power; W hi is the weight coefficient of high priority electrical equipment; W lo is the weight coefficient of low priority electrical equipment; n hi is the number of high priority electrical equipment; n lo is the number of low-priority electrical devices; T is the ambient temperature; H is the health status of the energy storage medium of the solar energy storage device; ΔP i Fluctuations in power demand for target usage equipment; T is the temperature influence coefficient; γ H is the influence coefficient of the health status of the energy storage medium; γ ΔP is the power demand fluctuation influence coefficient.

[0083] Step 406, adjust the adjusted power consumption of the corresponding high-priority power-consuming equipment according to the power adjustment amount of each high-priority power-consuming equipment, and adjust the adjusted power consumption of the corresponding low-priority power-consuming equipment according to the power adjustment amount of each low-priority power-consuming equipment, to obtain the emergency power consumption corresponding to each target use equipment.

[0084] Specifically, the solar energy storage device will adjust the power of each high-priority power-consuming device according to the previously calculated power adjustment of the high-priority device, so that it reaches the optimized power consumption. This adjustment ensures that the high-priority device has sufficient power support in an emergency to maintain the normal operation of its key functions. Subsequently, the solar energy storage device also adjusts the power of each low-priority power-consuming device according to the calculated power adjustment of the low-priority device, usually reducing its power consumption to free up more power resources for the high-priority device. By accurately adjusting the power consumption of high-priority and low-priority devices, the solar energy storage device ultimately derives the emergency power consumption of each target user device in an emergency.

[0085] In this embodiment, by accurately identifying and classifying the operating data of emergency equipment when the sum of the power demands of high-priority and low-priority power-consuming devices exceeds the abnormal maximum load power, it is ensured that the solar energy storage device can give priority to the power demands of key equipment. Through the power adjustment algorithm of power-consuming devices, the solar energy storage device can accurately calculate and reasonably allocate the power adjustment amount of each device, thereby dynamically optimizing the power consumption of the equipment. This strategy not only ensures the stable operation of high-priority equipment in emergency situations, but also effectively reduces the power consumption of low-priority equipment, prevents overload of solar energy storage equipment, improves the power utilization efficiency in emergency situations and the overall stability of solar energy storage equipment, and ultimately ensures the continuous operation of core functions and the safety of solar energy storage equipment.

[0086] In an exemplary embodiment, Figure 5 As shown, according to the device status data corresponding to the solar energy storage device, the set load power of the solar energy storage device is adjusted to the abnormal maximum load power, including steps 502 to 506. Among them:

[0087] Step 502: Perform abnormal state analysis on the device state data to obtain abnormal state property data and abnormal state analysis data.

[0088] The abnormal state property data may be data obtained by analyzing the specific properties of the abnormality after the abnormal state is detected during the operation of the equipment.

[0089] The abnormal state analysis data can be a detailed data report generated after system analysis when an abnormality occurs in a device or system. The data includes the specific time when the abnormality occurs, the duration, the triggering conditions of the abnormality, the scope of impact, the current state of the device, and the possible source or root cause of the fault.

[0090] Specifically, the solar energy storage device performs real-time analysis of the device status data, and uses preset rules, thresholds, or intelligent algorithms based on machine learning to determine whether the data exceeds the normal range or whether there are abnormal fluctuations. When an abnormality is detected, the solar energy storage device will further perform abnormal status analysis to determine the nature of the abnormality, such as whether it is a temporary fluctuation, hardware failure, environmental factors, or other potential problems. At this time, the solar energy storage device will generate abnormal status property data, describing the type, cause, and possible consequences of the abnormality, and at the same time generate abnormal status analysis data, detailing the time when the abnormality occurred, the scope of impact, the severity, and the potential risk assessment of the system.

[0091] Step 504, performing a derating calculation based on the abnormal state property data and the abnormal state analysis data to obtain a load power reduction amount corresponding to the solar energy storage device.

[0092] The load power reduction amount may be a value of a reduction in the maximum output power of the solar energy storage device.

[0093] Specifically, after detecting an abnormal situation, the solar energy storage device uses the abnormal state property data and abnormal state analysis data to evaluate the severity of the abnormality, the scope of impact, and the current working status of the equipment in detail to obtain abnormal situation evaluation data. The solar energy storage device then uses the abnormal situation evaluation data to perform derating calculations to determine the load power that needs to be reduced to reduce the operating pressure of the equipment and prevent further failures. The derating calculation is usually based on the safe operating parameters of the equipment and the current abnormal condition, and an algorithm is used to determine a reasonable load power reduction. Finally, the system applies the calculated load power reduction to the solar energy storage device to adjust the operating power of the equipment.

[0094] Among them, the derating algorithm corresponding to the derating calculation is:

[0095]

[0096] Among them, P max_adjusted is the abnormal maximum load power; P max_rated is the set load power; T is the temperature influence coefficient; γ I is the current influence coefficient; γ H is the aging influence coefficient of energy storage medium; γ R is the internal resistance influence coefficient of the energy storage medium; δ T is the temperature anomaly index; δ I is the overcurrent abnormality index; δ H is the abnormal aging index of energy storage medium; δ R is the abnormal internal resistance index of the energy storage medium; λ is the interaction coefficient; T abnormal Abnormal temperature; I abnormal is the abnormal current; H is the health information of the energy storage medium; R inernal is the abnormal internal resistance of the energy storage medium; T normal Normal temperature; I normal is the normal current; R normal is the normal internal resistance of the energy storage medium.

[0097] Step 506, adjusting the set load power corresponding to the solar energy storage device according to the load power reduction amount to obtain the abnormal maximum load power.

[0098] Specifically, the solar energy storage device adjusts the current set load power of the solar energy storage device according to the load power reduction calculated in the previous step, and reduces it by a corresponding amount. This adjustment process is to ensure that the device does not operate overloaded under abnormal conditions. By subtracting the load power reduction from the set load power, the solar energy storage device obtains the maximum power output value that the device can safely withstand under the current abnormal situation, that is, the abnormal maximum load power.

[0099] In this embodiment, by analyzing the abnormal state of the device status data, the nature and scope of the abnormality are deeply understood, and detailed abnormal state property data and analysis data are generated. These data provide a scientific basis for subsequent derating calculations, so that the solar energy storage device can accurately calculate the load power reduction of the solar energy storage device, thereby optimizing the set load power of the device, and finally obtaining the maximum safe load power of the device under abnormal conditions. Through this process, the solar energy storage device can respond quickly under abnormal conditions, adjust the power setting of the device in time, prevent overload or further damage, ensure that the device can still operate safely and stably under abnormal conditions, extend the life of the equipment and improve the overall reliability and safety of the solar energy storage device.

[0100] In an exemplary embodiment, Figure 6 As shown, before obtaining the real-time environment data and real-time usage data corresponding to each power-using device and adjusting the power consumption, the method further includes steps 602 to 606. Among them:

[0101] Step 602, calculating the environmental power impact information and the usage power impact information corresponding to the set power consumption of each power consumption device according to the real-time environmental data and the real-time usage data corresponding to each power consumption device.

[0102] The environmental power impact information may be the positive or negative impact of changes in environmental conditions on the power demand of the power-using equipment.

[0103] The power usage impact information may be the power consumption change caused by factors such as workload and usage frequency during actual use of the electric energy using device.

[0104] Specifically, the solar energy storage device identifies the characteristics of each power-using device, such as its rated power, operating conditions, load capacity, etc. This information is usually listed in detail in the specifications of the power-using device. Based on these characteristics of the power-using device, the solar energy storage device will apply a preset algorithm model to conduct an in-depth analysis of the environmental data (such as temperature, humidity, light, etc.) and usage data (such as actual load, current, voltage, etc.) collected in real time. Specifically, the algorithm will calculate the impact of environmental factors (such as whether the increase in temperature causes the efficiency of the equipment to decrease, thereby requiring more power) on the power demand of the power-using device, as well as the impact of the actual usage status (such as whether the equipment will consume more electricity under high load conditions) on the power consumption of the power-using device, and obtain the environmental power impact information and usage power impact information of each power-using device on the set power consumption technology.

[0105] Among them, the calculation formula of environmental power impact information is:

[0106] EPI i =Y T ×(T real -T opt )+γ H ×(H real -H opt )+γ L ×(L real -L opt )

[0107] Among them, EPI i is the environmental power impact information, γ T is the temperature influence coefficient; T real is the real-time temperature; T opt is the best working temperature; H is the humidity influence coefficient; H real is the real-time humidity, H opt For the best working humidity; L is the light intensity influence coefficient; L real is the real-time light intensity, L opt For the best working light intensity;

[0108] And, the calculation formula using the power impact information is,

[0109]

[0110] Among them, UPI i To use the power impact information, γ I is the current influence coefficient; I real is the real-time current; I nominal is the rated current; γ Vis the voltage influence coefficient; V real is the real-time voltage; V nominal is the rated voltage; γ L is the load influence coefficient; V real is the real-time load; V nominal For rated load.

[0111] Step 604: Calculate the power adjustment amount of each power-using device according to the power impact information of each environment and the power impact information of each power usage.

[0112] The electric energy usage power adjustment amount may be the amount of increase or decrease in the set electric energy usage power of the electric energy usage device that needs to be made according to the real-time environmental conditions and the device usage status.

[0113] Specifically, the solar energy storage device will evaluate the current state of each electric energy-using device based on the environmental power impact information and the power usage impact information calculated previously. This includes analyzing how environmental conditions affect the power requirements of the device (for example, increased temperature may cause an increase in the power requirements of the cooling device) and the impact of actual usage on the power consumption of the device (such as increased load causing an increase in power demand). Then, the solar energy storage device uses the above analysis results as the initial conditions of the preset power adjustment algorithm model, and combines the environmental power impact information and the power usage impact information to calculate the amount of power that needs to be adjusted for each device under the current conditions, that is, the electric energy usage power adjustment amount.

[0114] Step 606, adjusting the corresponding set power consumption according to the power adjustment amount corresponding to each power consumption device, and obtaining the adjusted power consumption of each power consumption device.

[0115] Specifically, the solar energy storage device will apply the calculated power adjustment of each power-using device to the set power of the corresponding device. Specifically, the solar energy storage device will add or subtract the original set power of the device from the adjustment amount to obtain a new power setting, i.e., the adjusted power.

[0116] In this embodiment, by real-time monitoring of the environmental data and usage data of the electric energy-using equipment, the impact of environmental factors and usage status on the power demand of the equipment is accurately evaluated, and environmental power impact information and usage power impact information are generated. This information provides a basis for the solar energy storage device to calculate the power adjustment amount of each device, ensuring that the adjusted set power consumption can reflect the actual needs of the equipment under current conditions. By dynamically adjusting the power consumption of each device, the solar energy storage device can optimize the allocation of power resources, improve the operating efficiency of the equipment, reduce unnecessary energy consumption, and ensure that the equipment can maintain optimal performance and stability under various operating environments. This intelligent power management method not only improves the overall efficiency of the solar energy storage equipment, but also extends the service life of the equipment.

[0117] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0118] Based on the same inventive concept, the embodiment of the present application also provides a solar energy storage control device for implementing the solar energy storage control method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more solar energy storage control devices provided below can refer to the limitations of a solar energy storage control method above, and will not be repeated here.

[0119] In an exemplary embodiment, Figure 7 As shown, a solar energy storage control device is provided, including: a data acquisition module 702, a power adjustment module 704 and a device selection module 706, wherein:

[0120] The data acquisition module 702 is used to acquire the real-time environment data and real-time usage data corresponding to each power-using device and adjust the power consumption;

[0121] The power adjustment module 704 is used to adjust the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device when an abnormality is detected in the device status data corresponding to the solar energy storage device;

[0122] The device selection module 706 is used to select each target user device from each power user device according to the real-time environment data and the real-time usage data;

[0123] The power adjustment module 704 is also used to make emergency adjustments to the adjusted power consumption of each target user device according to the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, and generate the emergency power consumption corresponding to each target user device.

[0124] In one embodiment, the power adjustment module 704 is also used to select each high-priority power-consuming device and each low-priority power-consuming device from each target power-using device based on the emergency equipment operation data; adjust the adjusted power power of each high-priority power-consuming device and each low-priority power-consuming device according to the abnormal maximum load power, and obtain the emergency power corresponding to each target power-using device.

[0125] In one embodiment, the power adjustment module 704 is also used to identify the high-priority device operation data corresponding to each high-priority device and the low-priority device operation data corresponding to each low-priority device from the emergency device operation data when the sum of the adjusted power consumption of each high-priority device and each low-priority device is greater than the abnormal maximum load power; calculate the high-priority device power adjustment amount of the high-priority device corresponding to the high-priority device operation data and calculate the low-priority device power adjustment amount of the low-priority device corresponding to the low-priority device operation data according to the power adjustment algorithm of the device; adjust the adjusted power of the corresponding high-priority device according to the power adjustment amount of each high-priority device and adjust the adjusted power of the corresponding low-priority device according to the power adjustment amount of each low-priority device, so as to obtain the emergency power corresponding to each target device.

[0126] In one embodiment, the power adjustment module 704 is also used to perform abnormal state analysis on the device status data to obtain abnormal state property data and abnormal state analysis data; perform derating calculation based on the abnormal state property data and the abnormal state analysis data to obtain the load power reduction amount corresponding to the solar energy storage device; adjust the set load power corresponding to the solar energy storage device according to the load power reduction amount to obtain the abnormal maximum load power.

[0127] In one embodiment, the data acquisition module 702 is also used to calculate the environmental power impact information and the power usage impact information corresponding to the set power of each power-using device based on the real-time environmental data and the real-time usage data corresponding to each power-using device; calculate the power adjustment amount corresponding to each power-using device based on each environmental power impact information and each power usage impact information; adjust the corresponding set power based on the power adjustment amount corresponding to each power-using device, and obtain the adjusted power of each power-using device.

[0128] Each module in the above solar energy storage control device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0129] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store server data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a solar energy storage control method is implemented.

[0130] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0131] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0132] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0133] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-mentioned method embodiments.

[0134] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0135] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0136] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0137] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A solar energy storage control method, characterized in that: The method comprises: Obtain real-time environmental data and real-time usage data corresponding to each power-using device and adjust power consumption; When detecting that the device status data corresponding to the solar energy storage device is abnormal, adjusting the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device; and, selecting each target user device from each of the electric energy user devices according to the real-time environment data and the real-time usage data; According to the emergency equipment operation data of the solar energy storage equipment and the abnormal maximum load power, emergency adjustment is performed on the adjusted power of each of the target usage equipment to generate the emergency power corresponding to each of the target usage equipment.

2. The method according to claim 1, characterized in that The method of performing emergency adjustment on the adjusted power of each target user device according to the emergency device operation data of the solar energy storage device and the abnormal maximum load power to generate the emergency power corresponding to each target user device includes: Selecting each high-priority power-consuming device and each low-priority power-consuming device from each target user device based on the emergency device operation data; According to the abnormal maximum load power, the adjusted power consumption of each of the high-priority power-consuming devices and each of the low-priority power-consuming devices is adjusted to obtain the emergency power consumption corresponding to each of the target power-consuming devices.

3. The method according to claim 2, characterized in that The adjusting power consumption of each of the high-priority power-consuming devices and each of the low-priority power-consuming devices according to the abnormal maximum load power to obtain the emergency power consumption corresponding to each of the target power-consuming devices includes: In the case where the sum of the adjusted power consumption of each of the high-priority power-consuming devices and each of the low-priority power-consuming devices is greater than the abnormal maximum load power, identifying the high-priority device operation data corresponding to each of the high-priority power-consuming devices and the low-priority device operation data corresponding to each of the low-priority power-consuming devices from the emergency device operation data; According to the power adjustment algorithm for power consuming devices, the high-priority device power adjustment amount of the high-priority device corresponding to each of the high-priority device operation data is calculated, and the low-priority device power adjustment amount of the low-priority device corresponding to each of the low-priority device operation data is calculated; The adjusted power consumption of the corresponding high-priority power equipment is adjusted according to the power adjustment amount of each high-priority device, and the adjusted power consumption of the corresponding low-priority power equipment is adjusted according to the power adjustment amount of each low-priority device, so as to obtain the emergency power consumption corresponding to each target device.

4. The method according to claim 3, characterized in that The expression of the power adjustment algorithm of the electrical equipment is: Among them, the P adj_i The emergency power corresponding to the i-th target usage equipment; the P i is the adjusted power consumption corresponding to the i-th target user device; α is the power adjustment coefficient of the high-priority power device; β is the power adjustment coefficient of the low-priority power device; P max is the abnormal maximum load power; the W hi is the weight coefficient of the high priority electrical equipment; lo is the weight coefficient of the low priority electrical equipment; hi is the number of the high-priority electrical devices; lo is the number of low-priority electrical devices; T is the ambient temperature; H is the health status of the energy storage medium of the solar energy storage device; ΔP i The power demand fluctuation of the equipment used for the target; the γ T is the temperature influence coefficient; H is the influence coefficient of the health status of the energy storage medium; ΔP is the power demand fluctuation influence coefficient.

5. The method according to claim 1, characterized in that The step of adjusting the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device includes: Performing abnormal state analysis on the device state data to obtain abnormal state property data and abnormal state analysis data; Performing a derating calculation according to the abnormal state property data and the abnormal state analysis data to obtain a load power reduction amount corresponding to the solar energy storage device; The set load power corresponding to the solar energy storage device is adjusted according to the load power decrease to obtain the abnormal maximum load power.

6. The method according to claim 5, characterized in that The derating algorithm corresponding to the derating calculation is: Among them, the P max_adjusted is the abnormal maximum load power; the P max_rated is the set load power; the γ T is the temperature influence coefficient; I is the current influence coefficient; H is the aging influence coefficient of the energy storage medium; R is the internal resistance influence coefficient of the energy storage medium; T is the temperature anomaly index; I is the overcurrent abnormality index; H is the abnormal aging index of the energy storage medium; R is the abnormal internal resistance index of the energy storage medium; λ is the interaction coefficient; T abnormal is abnormal temperature; abnormal is abnormal current; H is the health information of energy storage medium; R inernal is the abnormal internal resistance of the energy storage medium; normal is normal temperature; normal is the normal current; the R normal is the normal internal resistance of the energy storage medium.

7. The method according to claim 1, characterized in that Before the steps of obtaining the real-time environment data and real-time usage data corresponding to each electric energy-using device and adjusting the electric power, the method further includes: Calculating environmental power impact information and power usage impact information corresponding to the set power consumption of each of the electric energy using devices according to the real-time environmental data and real-time usage data corresponding to each of the electric energy using devices; Calculating the power adjustment amount of each power-using device according to each of the environmental power impact information and each of the power-using impact information; The corresponding set electric power is adjusted according to the electric power adjustment amount corresponding to each of the electric energy using devices to obtain the adjusted electric power of each of the electric energy using devices.

8. The method according to claim 7, characterized in that The calculation formula of the environmental power impact information is: AND i =Υ T ×(T real -T opt )+Υ H ×(H real -H opt )+Υ L ×(L real -L opt ) Among them, the EPI i is the environmental power impact information, the T is the temperature influence coefficient; real is the real-time temperature; opt is the optimal working temperature; H is the humidity influence coefficient; real is the real-time humidity, the H opt is the best working humidity; L is the light intensity influence coefficient; real is the real-time light intensity, the L opt For the best working light intensity; And, the calculation formula of the power usage impact information is: Among them, the UPI i is the power usage impact information, the γ I is the current influence coefficient; real is the real-time current; the I nominal is the rated current; V is the voltage influence coefficient; the V real is the real-time voltage; the V nominal is the rated voltage; the γ L is the load influence coefficient; the V real is the real-time load; the V nominal For rated load.

9. A solar energy storage control device, characterized in that: The device comprises: A data acquisition module is used to obtain real-time environmental data and real-time usage data corresponding to each power-using device and adjust the power consumption; A power adjustment module, configured to adjust the set load power of the solar energy storage device to the abnormal maximum load power according to the device status data corresponding to the solar energy storage device when an abnormality is detected in the device status data corresponding to the solar energy storage device; A device selection module, configured to select each target user device from each of the electric energy user devices according to the real-time environment data and the real-time usage data; The power adjustment module is also used to make emergency adjustments to the adjusted power of each target device according to the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, and generate the emergency power corresponding to each target device.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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