A method for energy storage control of solar energy

Abstract

The present application relates to a storage control method for solar energy. The method includes: obtaining real-time environmental data, real-time usage data corresponding to each power-consuming device, and adjusting the power consumption; when it is detected that the device status data corresponding to the solar energy storage device is abnormal, according to the device status data corresponding to the solar energy storage device, adjusting the set load power of the solar energy storage device to the maximum abnormal load power; and selecting each target usage device from each power-consuming device according to the real-time environmental data and the real-time usage data; making an emergency adjustment to the adjusted power consumption of each target usage device according to the emergency device operation data of the solar energy storage device and the maximum abnormal load power, and generating the emergency power consumption corresponding to each target usage device. Using this method can continue to provide sufficient power for power-consuming devices in an emergency, and also significantly enhance the stability and safety of power supply.

Description

Technical Field

[0001] This application relates to the technical field of power safety, and particularly to a method for controlling the energy storage of solar energy. Background Art

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

[0003] In traditional technologies, it mainly relies on basic battery management systems (BMS) and simple logic controllers to manage the discharge process of batteries through preset thresholds and rules. These systems usually use fixed voltage and current setpoints to avoid over-discharging of batteries, and at the same time, achieve basic energy management through timers or simple feedback loops. However, traditional technologies have certain limitations in coping with complex power demand fluctuations and environmental changes, and often cannot fully and timely adjust the discharge strategy according to the current situation in emergency situations, resulting in the inability to continue providing sufficient power for power-consuming devices in emergency situations. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, computer-readable storage medium, and computer program product for controlling the energy storage of solar energy that can continue to provide sufficient power for power-consuming devices in emergency situations.

[0005] In a first aspect, this application provides a method for controlling the energy storage of solar energy, including:

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

[0007] 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;

[0008] And select each target usage device from each of the power-consuming devices according to the real-time environmental data and the real-time usage data;

[0009] Perform emergency adjustment on the adjusted power consumption of each target usage device according to the emergency device operation data of the solar energy storage device and the abnormal maximum load power, and generate the emergency power consumption corresponding to each target usage device.

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

[0011] A data acquisition module, configured to acquire real-time environmental data, real-time usage data, and adjusted power consumption corresponding to each power consumption device;

[0012] A power adjustment module, configured to, when detecting 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;

[0013] A device selection module, configured to select each target usage device from each power consumption device according to the real-time environmental data and the real-time usage data;

[0014] The power adjustment module is further configured to perform emergency adjustment on the adjusted power consumption of each target usage device according to the emergency device operation data of the solar energy storage device and the abnormal maximum load power, and generate the emergency power consumption corresponding to each target usage device.

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

[0016] Acquire real-time environmental data, real-time usage data, and adjusted power consumption corresponding to each power consumption device;

[0017] When detecting 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;

[0018] And select each target usage device from each power consumption device according to the real-time environmental data and the real-time usage data;

[0019] Perform emergency adjustment on the adjusted power consumption of each target usage device according to the emergency device operation data of the solar energy storage device and the abnormal maximum load power, and generate the emergency power consumption corresponding to each target usage device.

[0020] Fourthly, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

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

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

[0023] And select each target usage device from each of the power-consuming devices according to the real-time environmental data and the real-time usage data;

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

[0025] Fifthly, the present application also provides a computer program product, including a computer program. When the computer program is executed by a processor, the following steps are implemented:

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

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

[0028] And select each target usage device from each of the power-consuming devices according to the real-time environmental data and the real-time usage data;

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

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

[0031] By collecting and analyzing the environmental data and usage data of power-consuming devices in real time, precise dynamic adjustment of device power is achieved. When the solar energy storage device detects an abnormality, it can respond quickly and adjust to the optimal load power according to the device status data to maximize the device's load processing capacity and avoid the collapse of the solar energy storage device or interruption of power supply caused by the abnormality. At the same time, by performing emergency power adjustment on the target usage devices, while ensuring the normal operation of the devices, the power supply to key devices is preferentially guaranteed, and the allocation of electric energy resources is optimized. This combination of real-time monitoring and intelligent emergency processing not only improves the adaptive ability of the solar energy storage device in complex environments, enabling it to continue to provide sufficient power consumption for power-consuming devices in emergency situations, but also significantly enhances the stability and safety of power supply, thereby extending the service life of the device, reducing the maintenance cost of the solar energy storage device, and improving the efficiency and effectiveness 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 related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0033] Figure 1 It is an application environment diagram of the energy storage control method for solar energy in an embodiment;

[0034] Figure 2 It is a flowchart of the energy storage control method for solar energy in an embodiment;

[0035] Figure 3 It is a flowchart of the emergency power consumption generation method in an embodiment;

[0036] Figure 4Schematic flowchart of the emergency power generation method in another embodiment;

[0037] Figure 5 Schematic flowchart of the abnormal maximum load power adjustment method in one embodiment;

[0038] Figure 6 Schematic flowchart of the method for obtaining the adjusted power consumption in one embodiment;

[0039] Figure 7 Structural block diagram of the energy storage control device for solar energy in one embodiment;

[0040] Figure 8 Internal structure diagram of a computer device in one embodiment. Detailed implementation manners

[0041] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to 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] An energy storage control method for solar energy provided by an embodiment of the present application can be applied to an application environment as Figure 1 shown. Among them, the terminal 102 communicates with the server 104 through a 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 placed in the cloud or other network servers. The server 104 obtains the real-time environment data, real-time usage data and adjusted power consumption corresponding to each power consumption device through the terminal 102; in the case where the device status data corresponding to the solar energy storage device appears abnormal, according to the device status data corresponding to the solar energy storage device, adjust the set load power of the solar energy storage device to the abnormal maximum load power; and, according to the real-time environment data and real-time usage data, select each target usage device from each power consumption device; according to the emergency device operation data and abnormal maximum load power of the solar energy storage device, perform emergency adjustment on the adjusted power consumption of each target usage device to generate the emergency power consumption corresponding to each target usage device. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0043] In an exemplary embodiment, as Figure 2As shown, a solar energy energy storage control method is provided. Taking the server in Figure 1 as an example for illustration, it includes the following steps 202 to 208. Among them:

[0044] Step 202, obtain the real-time environmental data, real-time usage data corresponding to each electrical energy using device, and adjust the power consumption.

[0045] Among them, the real-time environmental data can be various data that reflect the current environmental conditions obtained instantaneously through sensors or other data acquisition devices during the operation of the device. These data usually include external condition information such as temperature, humidity, light intensity, wind speed, etc., which affect the performance and operating state of the device.

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

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

[0048] Specifically, by deploying sensors and data acquisition devices, the environmental data (such as temperature, humidity, light, etc.) and usage data (such as current, voltage, power, etc.) of each electrical energy 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 the adjusted power consumption according to the analysis result to ensure its operation under the best working conditions.

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

[0050] Among them, the solar energy energy storage device can be a device that converts solar energy obtained through solar panels into electrical energy and stores it for subsequent use. Such devices usually include key components such as solar panels, inverters, charge controllers, and battery packs. Its main function is to collect and store electrical energy when the sun is sufficient, so as to provide stable power supply for homes, industrial facilities or the power grid at night or on cloudy days.

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

[0052] Among them, the set load power can be the power value of the preset power output or input of 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 according to the design specifications, usage requirements, and safety standards of the solar energy storage device, and is used to ensure that the device operates within the optimal power range to avoid overload, overheating, or inefficient operation.

[0053] Among them, the abnormal maximum load power can be the highest power output or input value that the solar energy storage device can still safely withstand in the case of an abnormality of the solar energy storage device, and this value fluctuates in real time with the change of the abnormal situation.

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

[0055] Step 206, select each target usage device from each electrical energy usage device according to the real-time environmental data and real-time usage data.

[0056] Among them, the target usage device can be an electrical energy usage device that still needs to ensure operation in the case of an abnormality of the solar energy storage device.

[0057] Specifically, in the case of an abnormality of the solar energy storage device, the solar energy storage device will use the real-time environmental data and real-time usage data to analyze the current actual operating conditions of each electrical energy usage device, and select some or all of the electrical energy usage devices that still need to meet the minimum operating requirements under the current actual operating conditions and the abnormality of the solar energy storage device from all the electrical energy usage devices connected to the solar energy storage device as the target usage devices.

[0058] Step 208: Based on the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, perform emergency adjustment on the adjusted power consumption of each target usage device to generate the corresponding emergency power consumption for each target usage device.

[0059] Among them, the emergency equipment operation data can be various key operation parameters of the solar energy storage device when the solar energy storage device encounters an abnormal situation.

[0060] Among them, the emergency power consumption can be the power allocated to ensure the continuous operation of key devices or systems when the solar energy storage device encounters an abnormal situation.

[0061] Specifically, the emergency equipment operation data of the solar energy storage device that continues to operate during abnormal situations is monitored in real time, including the current energy storage state, available emergency power, output power, etc. When the solar energy storage device detects an abnormal situation and has adjusted the load power to the abnormal maximum load power, the solar energy storage device will evaluate the power resources that can be allocated to each target usage device based on the emergency equipment operation data. Further, the solar energy storage device will dynamically adjust the power consumption of each target usage device. If the total power of each target usage 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 usage device is less than the abnormal maximum load power, and the corresponding emergency power consumption for each target usage device is obtained.

[0062] In the above solar energy storage control method, by obtaining the real-time environmental data, real-time usage data, and adjusted power consumption corresponding to each electrical energy usage device; in the case of detecting an abnormal device status data corresponding to the solar energy storage device, 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 usage device from each electrical energy usage device according to the real-time environmental data and real-time usage data; based on the emergency equipment operation data of the solar energy storage device and the abnormal maximum load power, performing emergency adjustment on the adjusted power consumption of each target usage device to generate the corresponding emergency power consumption for each target usage device.

[0063] By collecting and analyzing the environmental data and usage data of power-consuming devices in real time, precise dynamic adjustment of device power is achieved. When the solar energy storage device detects an anomaly, it can respond promptly and adjust to the optimal load power according to the device status data to maximize the device's load handling capacity and avoid the collapse of the solar energy storage device or interruption of power supply caused by anomalies. Meanwhile, through emergency power adjustment of the target power-consuming devices, while ensuring the normal operation of the devices, the power supply to critical devices is prioritized to optimize the allocation of electrical energy resources. This combination of real-time monitoring and intelligent emergency handling not only enhances the adaptive ability of the solar energy storage device in complex environments, enabling it to continue providing sufficient power to power-consuming devices in emergency situations, but also significantly enhances the stability and security of the power supply, thereby extending the service life of the device, reducing the maintenance cost of the solar energy storage device, and improving the efficiency and effectiveness of overall energy management.

[0064] In an exemplary embodiment, as Figure 3 shown, based on the emergency device 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 power-consuming device to generate the corresponding emergency power consumption for each target power-consuming 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 the emergency device operation data for each target power-consuming device.

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

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

[0068] Specifically, based on the determined maximum abnormal load power, in combination with the currently available power resources and energy storage status, the solar energy storage device preferentially allocates the output power to high-priority electrical equipment to ensure that each target usage device can continue to operate in the event of an abnormality in the solar energy storage device. At the same time, the power supply to low-priority electrical equipment is appropriately reduced or suspended. The solar energy storage device dynamically adjusts their power consumption according to the priority and operation requirements of each device to generate the emergency power consumption of each target usage device in case of emergency.

[0069] In this embodiment, by selecting high-priority and low-priority electrical equipment from the emergency equipment operation data, it is ensured that the power supply of critical equipment is preferentially guaranteed in case of emergency. Adjusting the power consumption of each device according to the maximum abnormal load power can optimize the power resource allocation, enabling high-priority devices to still operate stably in case of abnormality, while reasonably controlling the power consumption of low-priority devices. This hierarchical regulation mechanism improves the response ability and reliability of the solar energy storage device in case of emergencies, ensuring that the core functions of the solar energy storage device are maintained when power resources are limited, and avoiding further damage or failures caused by overload.

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

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

[0072] Among them, the high-priority device operation data may be the operation data related to the high-priority electrical equipment in the emergency equipment operation data.

[0073] Among them, the low-priority device operation data may be the operation data related to the low-priority electrical equipment in the emergency equipment operation data.

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

[0075] Step 404, according to the electrical device power adjustment algorithm, calculate the high-priority device power adjustment amount of the high-priority electrical device corresponding to each high-priority device operation data, and calculate the low-priority device power adjustment amount of the low-priority electrical device corresponding to each low-priority device operation data.

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

[0077] Among them, the high-priority device power adjustment amount can be the power supply adjustment amount for the high-priority electrical device.

[0078] Among them, the low-priority device power adjustment amount can be the power supply adjustment amount for the low-priority electrical device.

[0079] Specifically, according to the preset electrical device power adjustment algorithm, for each high-priority electrical device and low-priority electrical device, their real-time operation data (such as current power demand, device health status, importance level, etc.) are respectively extracted. For the calculation of the power adjustment amount of the high-priority electrical device, the solar energy storage device will first ensure 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 high-priority device power adjustment amount. On the basis of ensuring the power supply of the above high-priority electrical devices, for the calculation of the power adjustment amount of the low-priority electrical device, the solar energy storage device will, on the premise of ensuring that it does not affect the overall system stability, and then the solar energy storage device uses the above-extracted data to calculate the power supply that should be cut, which is called the low-priority device power adjustment amount.

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

[0081]

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

[0083] Step 406, adjust the adjusted power consumption of the corresponding high-priority power-consuming devices according to the power consumption adjustment amounts of each high-priority device, and adjust the adjusted power consumption of the corresponding low-priority power-consuming devices according to the power consumption adjustment amounts of each low-priority device, to obtain the emergency power consumption corresponding to each target usage device.

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

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

[0086] In an exemplary embodiment, as Figure 5 shown, according to the equipment status data corresponding to the solar energy storage equipment, adjusting the set load power of the solar energy storage equipment to the abnormal maximum load power includes steps 502 to 506. Among them:

[0087] Step 502, perform an abnormal state analysis on the equipment status data to obtain abnormal state property data and abnormal state analysis data.

[0088] Among them, the abnormal state property data can be the data obtained by the system analyzing the specific nature of the abnormality after detecting an abnormal state during the operation of the equipment.

[0089] Among them, the abnormal state analysis data can be a detailed data report generated after system analysis when an abnormality occurs in the equipment or system. This data includes the specific time of the abnormality occurrence, the duration, the triggering conditions of the abnormality, the affected range, the current state of the equipment, and the possible fault sources or root causes, etc.

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

[0091] Step 504, perform a derating calculation according to the abnormal state property data and the abnormal state analysis data to obtain the load power reduction amount corresponding to the solar energy storage equipment.

[0092] Among them, the amount of decrease in load power can be the value of the decrease in the maximum output power of the solar energy storage device.

[0093] Specifically, after detecting an abnormal situation, the solar energy storage device evaluates the severity of the abnormality, the scope of influence, and the current working state of the device in detail through the abnormal state property data and the abnormal state analysis data to obtain the abnormal situation evaluation data. Then, the solar energy storage device uses the abnormal situation evaluation data to perform a derating calculation to determine the load power that needs to be reduced, so as to relieve the operating pressure of the device and prevent further failures. The derating calculation is usually based on the safe operating parameters of the device and the current abnormal situation, and determines a reasonable amount of decrease in load power through an algorithm. Finally, the system applies the calculated amount of decrease in load power to the solar energy storage device to adjust the operating power of the device.

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

[0095]

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

[0097] Step 506, adjust the set load power corresponding to the solar energy storage device according to the amount of decrease in load power to obtain the maximum abnormal 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 decrease calculated in the previous step, reducing it by the corresponding amount. This adjustment process is to ensure that the device does not operate overloaded under abnormal conditions. By subtracting the load power decrease 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, through the abnormal state analysis of the device status data, the nature and scope of the abnormality are deeply understood, and detailed abnormal state nature data and analysis data are generated. These data provide a scientific basis for the subsequent derating calculation, enabling the solar energy storage device to accurately calculate the load power decrease 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 quickly respond under abnormal conditions, timely adjust the power settings of the device, prevent overload or further damage, ensure that the device can still operate safely and stably under abnormal conditions, extend the device life, and improve the overall reliability and safety of the solar energy storage device.

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

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

[0102] Among them, the environmental power impact information may be a positive or negative impact of environmental condition changes on the power demand of the electrical energy using device.

[0103] Among them, the usage power impact information may be the power consumption change caused by factors such as workload and usage frequency during the actual use of the electrical 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., which are 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 applies a preset algorithm model to deeply analyze the real-time collected environmental data (such as temperature, humidity, light, etc.) and usage data (such as actual load, current, voltage, etc.). Specifically, the algorithm calculates the impact of environmental factors (such as whether an increase in temperature leads to a decrease in device efficiency and thus requires more power) on the power demand of the power-using device, and the impact of the actual usage status (such as whether the device consumes more electricity under high load conditions) on the power consumption of the power-using device, to obtain the environmental power impact information and usage power impact information that affect the set power consumption of each power-using device technically.

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

[0106] EPI i =Υ 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 impact coefficient; T real is the real-time temperature; T opt is the optimal operating temperature; Υ H is the humidity impact coefficient; H real is the real-time humidity, H opt is the optimal operating humidity; Υ L is the light intensity impact coefficient; L real is the real-time light intensity, L opt is the optimal operating light intensity;

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

[0109]

[0110] Among them, UPI i is the usage power impact information, γ I is the current impact 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 is the rated load.

[0111] Step 604: Calculate the power adjustment amount corresponding to each electrical energy using device according to each environmental power influence information and each usage power influence information.

[0112] Among them, the power adjustment amount of the electrical energy using device can be the increase or decrease amount that needs to be made to the set power consumption of the electrical energy using device 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 electrical energy using device according to the previously calculated environmental power influence information and usage power influence information. This includes analyzing how environmental conditions affect the power demand of the device (for example, an increase in temperature may lead to an increase in the power demand of the cooling device) and the impact of the actual usage on the power consumption of the device (such as an increase in load leading to an increase in power demand). Then, the solar energy storage device takes the above analysis results as the initial conditions of a preset power adjustment amount algorithm model, and combines each environmental power influence information and each usage power influence information to calculate the power amount that each device needs to adjust under the current conditions, that is, the power adjustment amount of the electrical energy using device.

[0114] Step 606: Adjust the corresponding set power consumption according to the power adjustment amount corresponding to each electrical energy using device to obtain the adjusted power consumption of each electrical energy using device.

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

[0116] In this embodiment, by monitoring the environmental data and usage data of the power-consuming devices in real time, the impacts of environmental factors and usage status on the power demand of the devices are accurately evaluated, and environmental power impact information and usage power impact information are generated. These pieces of information provide a basis for calculating the power adjustment amount for each device by the solar energy storage device, ensuring that the adjusted set power consumption can reflect the actual demand of the device under the 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 device, reduce unnecessary energy consumption, and ensure that the device can maintain the best performance and stability in various operating environments. This intelligent power management method not only improves the overall efficiency of the solar energy storage device but also extends the service life of the device.

[0117] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, 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. These steps or stages are not necessarily executed at the same moment but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential either, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0118] Based on the same inventive concept, an embodiment of the present application also provides a solar energy storage control device for implementing the above-mentioned solar energy storage control method. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the following solar energy storage control device can refer to the limitations on a solar energy storage control method in the above text and will not be elaborated here.

[0119] In an exemplary embodiment, as Figure 7 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, where:

[0120] The data acquisition module 702 is configured to acquire the real-time environmental data, real-time usage data corresponding to each power-consuming device, and adjust the power consumption.

[0121] The power adjustment module 704 is configured to, when detecting that the device status data corresponding to the solar energy storage device appears 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.

[0122] The device selection module 706 is configured to select each target usage device from each power consumption device according to real-time environmental data and real-time usage data.

[0123] The power adjustment module 704 is further configured to perform emergency adjustment on the adjusted power consumption of each target usage device according to the emergency device operation data of the solar energy storage device and the abnormal maximum load power, and generate the corresponding emergency power consumption of each target usage device.

[0124] In one embodiment, the power adjustment module 704 is further configured to select each high-priority power consumption device and each low-priority power consumption device from each target usage device according to the emergency device operation data; and adjust the adjusted power consumption of each high-priority power consumption device and each low-priority power consumption device according to the abnormal maximum load power, so as to obtain the corresponding emergency power consumption of each target usage device.

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

[0126] In one embodiment, the power adjustment module 704 is further configured to perform abnormal state analysis on the device state data to obtain abnormal state property data and abnormal state analysis data; perform derating calculation according to 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; and 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 further configured to calculate the environmental power influence information and the usage power influence information corresponding to the set power consumption of each electrical energy usage device according to the real-time environmental data and the real-time usage data corresponding to each electrical energy usage device; calculate the adjustment amount of the electrical energy usage power corresponding to each electrical energy usage device according to each environmental power influence information and each usage power influence information; and adjust the corresponding set power consumption according to the adjustment amount of the electrical energy usage power corresponding to each electrical energy usage device to obtain the adjusted power consumption of each electrical energy usage device.

[0128] Each module in the above-mentioned energy storage control device for solar energy can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules.

[0129] In an exemplary embodiment, a computer device is provided. The computer device can be a server, and its internal structure diagram can be as Figure 8 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated 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 external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements an energy storage control method for solar energy.

[0130] Those skilled in the art can understand that Figure 8 the structure shown in

[0131] is only a block diagram of some structures 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 some components, or have different component arrangements.

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

[0133] In one embodiment, a computer program product or a computer program is provided. The computer program product or the computer program includes computer instructions, which are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the steps in the above 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 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 need to comply with relevant regulations.

[0135] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. 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 methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. 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. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0136] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, 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, it should be considered as the scope recorded in this specification.

[0137] The above-described embodiments only represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended 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 target user equipment to generate the emergency power corresponding to each target user equipment, including: 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, adjusting the adjusted power consumption of each of the high-priority power-consuming devices and each of the low-priority power-consuming devices 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.

2. The method according to claim 1, 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.

3. 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.

4. The method according to claim 3, 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 energy storage medium aging influence coefficient; R is the internal resistance influence coefficient of the energy storage medium; T is the temperature anomaly index; I is the overcurrent abnormality index; the δ 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.

5. 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.

6. The method according to claim 5, characterized in that The calculation formula of the environmental power impact information is: EPI i =c T ×(T real -T opt )+c H ×(H real -H opt )+c L ×(L real -L opt ) Among them, the EPI i is the environmental power impact information, the γ 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.

7. A solar energy storage control device, used to implement the steps of the method described in claim 1, 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 perform emergency adjustment on the adjusted power 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 corresponding to each target user device, including: 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, adjusting the adjusted power consumption of each of the high-priority power-consuming devices and each of the low-priority power-consuming devices 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.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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