Distributed photovoltaic power generation equipment safety access method, device, equipment and medium

Abstract

The invention relates to the technical field of electronic information, and discloses a distributed photovoltaic power generation equipment safety access method, device, equipment and medium, and the method comprises the steps: carrying out the real-time monitoring of distributed photovoltaic power generation equipment, and obtaining the monitoring data and equipment data of the distributed photovoltaic power generation equipment; dynamically adjusting the current output power of the distributed photovoltaic power generation equipment based on the monitoring data; identifying an abnormal condition of the distributed photovoltaic power generation equipment based on the monitoring data and the equipment data, and generating alarm information; and performing priority ranking on the alarm information based on a preset priority ranking algorithm, and sending an alarm notification based on the ranked alarm information, so that the distributed photovoltaic power generation equipment is safely accessed to the power grid. According to the invention, safe and stable operation of the distributed photovoltaic power generation equipment is ensured, and safe, reliable and intelligent access of the distributed photovoltaic power generation equipment is realized.

Description

Technical Field

[0001] The present invention relates to the field of electronic information technology, and in particular to a method, device, equipment and medium for secure access to distributed photovoltaic power generation equipment. Background Art

[0002] In the field of electronic information, distributed photovoltaic power generation equipment has attracted much attention as a clean energy source. However, the existing safe access methods have many shortcomings. The current monitoring technology has limited coverage, there are security risks, the smart grid-connected devices lack intelligent management, and stability issues are difficult to avoid.

[0003] Therefore, there is an urgent need for a method for safely connecting distributed power generation systems to the power grid. Summary of the invention

[0004] In view of this, the present invention provides a method, device, equipment, and medium for secure access to a distributed photovoltaic power generation device, so as to solve the problem that a distributed power generation system cannot be securely accessed to a power grid.

[0005] In a first aspect, the present invention provides a method for securely accessing a distributed photovoltaic power generation device, the method comprising:

[0006] Conduct real-time monitoring of distributed photovoltaic power generation equipment and obtain monitoring data and equipment data of distributed photovoltaic power generation equipment;

[0007] Dynamically adjust the current output power of distributed photovoltaic power generation equipment based on monitoring data;

[0008] Identify abnormal conditions of distributed photovoltaic power generation equipment based on monitoring data and equipment data, and generate alarm information;

[0009] The alarm information is prioritized based on a preset priority sorting algorithm, and an alarm notification is issued based on the sorted alarm information to enable the distributed photovoltaic power generation equipment to be safely connected to the power grid.

[0010] The present invention provides a method for safely accessing distributed photovoltaic power generation equipment. The method dynamically adjusts the current output power of the distributed photovoltaic power generation equipment based on monitoring data, realizes the operation monitoring and output power regulation of the distributed power generation system, identifies abnormal conditions of the distributed photovoltaic power generation equipment based on monitoring data and equipment data, and generates alarm information; prioritizes the alarm information based on a preset priority sorting algorithm, and issues an alarm notification based on the sorted alarm information. By monitoring the operating status of the distributed photovoltaic power generation equipment, abnormal conditions are discovered in time and alarm notifications are triggered, so as to ensure the safe and stable operation of the distributed photovoltaic power generation equipment, realize safe, reliable and intelligent access to the distributed photovoltaic power generation equipment, thereby improving the stability of the power system, the monitoring coverage and the intelligence level, and solving the problem that the distributed power generation system cannot safely access the power grid.

[0011] In an optional implementation, the monitoring data includes operating data and environmental data of the distributed photovoltaic power generation equipment; the distributed photovoltaic power generation equipment includes a photovoltaic inverter and a photovoltaic panel; the operating data includes the effective area of ​​the photovoltaic panel, the efficiency of the photovoltaic panel under standard test conditions, and the voltage and current of the grid where the photovoltaic panel is located; the environmental data includes the light intensity of the photovoltaic panel and the actual temperature of the photovoltaic panel;

[0012] Dynamically adjust the current output power of distributed photovoltaic power generation equipment based on monitoring data, including:

[0013] The optimal output power of the distributed photovoltaic power generation equipment is calculated based on the effective area of ​​the photovoltaic panels, the efficiency of the photovoltaic panels under standard test conditions, the voltage and current of the power grid where the photovoltaic panels are located, the light intensity of the photovoltaic panels and the actual temperature of the photovoltaic panels. The photovoltaic inverter is controlled based on the optimal output power to dynamically adjust the current output power of the distributed photovoltaic power generation equipment. The optimal output power of the distributed photovoltaic power generation equipment is expressed by the following formula:

[0014] MaxPout=G·A·ηpv·(1-β·(T-Tref))·ηinv;

[0015] Wherein, G is the light intensity; A is the effective area of ​​the photovoltaic panel; ηpv is the efficiency of the photovoltaic panel under standard test conditions; β is the temperature coefficient; T is the actual temperature of the photovoltaic panel; Tref is the reference temperature; ηinv is the current of the photovoltaic panel under standard test conditions.

[0016] A method for secure access of distributed photovoltaic power generation equipment provided by the present invention calculates the optimal output power of the distributed photovoltaic power generation equipment based on operation data and environmental data, and controls the photovoltaic inverter to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the optimal output power, ensuring that the distributed photovoltaic power generation equipment always operates in the best state and improving energy utilization efficiency and power generation quality.

[0017] In an alternative embodiment, abnormal conditions of the distributed photovoltaic power generation equipment are identified based on monitoring data and equipment data, and an alarm message is generated, including:

[0018] Compare the monitoring data with a preset monitoring threshold, and regard the monitoring data with a critical preset monitoring threshold greater than the preset monitoring threshold as abnormal monitoring data;

[0019] Compare the equipment data with a preset equipment threshold, and regard the equipment data with a critical preset equipment threshold or greater than the preset equipment threshold as abnormal equipment data;

[0020] Generate an alarm message based on the abnormal monitoring data and the abnormal equipment data.

[0021] A method for secure access of distributed photovoltaic power generation equipment provided by the present invention can identify potential abnormal or faulty conditions and ensure the safe and stable operation of the distributed power generation system by comparing the monitoring data and the equipment data to obtain abnormal monitoring data and abnormal equipment data, and generating an alarm message based on the abnormal monitoring data and the abnormal equipment data.

[0022] In an alternative embodiment, the alarm messages are sorted by priority based on a preset priority sorting algorithm, including:

[0023] Summarize the alarm messages and identify the type, source, severity, severity to the system, and urgency of handling of the alarm messages;

[0024] Regard the type, source, severity, severity to the system, and urgency of handling of the alarm message as individual attributes of the alarm message respectively;

[0025] Assign weights to each alarm attribute based on a preset priority sorting algorithm, and calculate the comprehensive score of each alarm message based on the weights;

[0026] Sort the priority of each alarm message based on the comprehensive score.

[0027] In an alternative embodiment, the following formula is used to represent the calculation of the comprehensive score of each alarm message based on the weights:

[0028] S_i = w_t * t_i + w_s * s_i + w_p * p_i + w_c * c_i + w_e * e_i;

[0029] Among them, S_i is the comprehensive score of each alarm message, w_t, w_s, w_p, w_c, and w_e respectively represent the weights of the type of the alarm message, the weight of the source, the weight of the severity, the weight of the severity to the system, and the weight of the processing urgency, and * is used to calculate the product of the weight and the attribute value.

[0030] A method for secure access of distributed photovoltaic power generation equipment provided by the present invention can ensure that high-priority alarm messages can be processed in a timely and effective manner through a priority sorting algorithm, while low-priority alarm messages can be processed or ignored at an appropriate time.

[0031] In an optional implementation manner, the method for secure access of distributed photovoltaic power generation equipment further includes:

[0032] Performing pattern recognition and trend analysis based on the type, source, severity, severity to the system, and processing urgency of the alarm message to obtain an analysis result;

[0033] Confirming the authenticity of the alarm message, classifying and marking the alarm message, and triggering corresponding processing based on the analysis result.

[0034] In an optional implementation manner, the method for secure access of distributed photovoltaic power generation equipment further includes:

[0035] Filtering and screening the alarm message based on a preset filtering condition to delete alarm interference.

[0036] A method for secure access of distributed photovoltaic power generation equipment provided by the present invention filters and screens the alarm message based on a preset filtering condition, deletes alarm interference, reduces unnecessary alarm interference, and improves the processing efficiency of the alarm message.

[0037] In an optional implementation manner, sending an alarm notification based on the sorted alarm message includes:

[0038] Comparing the sorted alarm message with a preset alarm threshold, and setting the alarm message greater than the preset alarm threshold as a high-level alarm message;

[0039] Sending an alarm notification based on the high-level alarm message.

[0040] A method for secure access of distributed photovoltaic power generation equipment provided by the present invention compares the sorted alarm message with a preset alarm threshold, and sets the alarm message greater than the preset alarm threshold as a high-level alarm message; sending an alarm notification based on the high-level alarm message to discover and solve problems in a timely manner, and provides a more efficient and reliable alarm service.

[0041] Second aspect, the present invention provides a device for secure access of distributed photovoltaic power generation equipment, which includes:

[0042] A data acquisition module, configured to monitor the distributed photovoltaic power generation equipment in real time, and acquire the monitoring data and equipment data of the distributed photovoltaic power generation equipment;

[0043] A power dynamic adjustment module, configured to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the monitoring data;

[0044] An alarm information generation module, configured to identify abnormal conditions of the distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generate alarm information;

[0045] An alarm information sorting and alarm notification sending module, configured to sort the alarm information based on a preset priority sorting algorithm, and send an alarm notification based on the sorted alarm information, so that the distributed photovoltaic power generation equipment can be securely connected to the power grid.

[0046] Third aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the method for secure access of distributed photovoltaic power generation equipment in the first aspect or any corresponding embodiment thereof.

[0047] Fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the method for secure access of distributed photovoltaic power generation equipment in the first aspect or any corresponding embodiment thereof.

[0048] Fifth aspect, the present invention provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the method for secure access of distributed photovoltaic power generation equipment in the first aspect or any corresponding embodiment thereof. Description of the Drawings

[0049] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0050] Figure 1 It is a schematic flowchart of the method for secure access of distributed photovoltaic power generation equipment according to an embodiment of the present invention;

[0051] Figure 2It is a schematic flowchart of another method for secure access of distributed photovoltaic power generation equipment according to an embodiment of the present invention;

[0052] Figure 3 It is a schematic flowchart of yet another method for secure access of distributed photovoltaic power generation equipment according to an embodiment of the present invention;

[0053] Figure 4 It is a structural block diagram of a device for secure access of distributed photovoltaic power generation equipment according to an embodiment of the present invention;

[0054] Figure 5 It is a schematic hardware structure diagram of a computer device according to an embodiment of the present invention. Detailed implementation manners

[0055] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0056] According to an embodiment of the present invention, there is provided an embodiment of a method for secure access of distributed photovoltaic power generation equipment. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0057] In this embodiment, there is provided a method for secure access of distributed photovoltaic power generation equipment, which can be used in the above computer terminals, such as a central processing unit, a server, etc. Figure 1 It is a flowchart of a method for secure access of distributed photovoltaic power generation equipment according to an embodiment of the present invention, as Figure 1 shown, and the process includes the following steps:

[0058] Step S101, perform real-time monitoring on the distributed photovoltaic power generation equipment, and obtain the monitoring data and equipment data of the distributed photovoltaic power generation equipment.

[0059] Specifically, deploy a sensor network and develop a real-time monitoring system. That is, by selecting different sensor devices, determine their installation locations and quantities according to the information entered in the power system, and establish a complete sensor network, which consists of a large number of sensor nodes, electricity meters, temperature and humidity meters and other devices deployed in the monitoring area, and forms a multi-hop self-organizing network system through wireless communication and 485 connection communication methods. Design the monitoring system architecture, including data acquisition, transmission, storage and display modules, and develop a smart energy management system to realize the real-time monitoring of the operating status of distributed photovoltaic power generation equipment through the real-time monitoring system, and obtain the monitoring data of distributed photovoltaic power generation equipment and the data of devices such as sensor nodes, electricity meters, temperature and humidity meters through the real-time monitoring system.

[0060] Step S102, dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the monitoring data.

[0061] Specifically, the distributed photovoltaic power generation equipment includes solar photovoltaic panels and photovoltaic inverters. The monitoring data includes the operating data of the solar photovoltaic panels and the environmental data where the distributed photovoltaic power generation equipment is located. Transmit these data to the real-time monitoring system to calculate the current output power of the distributed photovoltaic power generation equipment, and dynamically adjust the output power of the distributed photovoltaic power generation equipment to ensure that the distributed photovoltaic power generation equipment always operates in the best state, improving energy utilization efficiency and power generation quality.

[0062] Step S103, identify abnormal conditions of the distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generate alarm information.

[0063] Specifically, the equipment data refers to the data of devices such as sensor nodes, electricity meters, temperature and humidity meters. Identify abnormal conditions of the distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generate preliminary alarm information.

[0064] Step S104, sort the alarm information based on a preset priority sorting algorithm, and send an alarm notification based on the sorted alarm information to enable the distributed photovoltaic power generation equipment to be safely connected to the power grid.

[0065] Specifically, the preset priority sorting algorithm sorts the alarm information according to preset rules and strategies. For example, sort the priority based on factors such as the severity of the alarm, the impact on the system, and the urgency of handling, and send an alarm notification according to the priority sorting of the alarm to notify relevant personnel or systems to process the alarm information to ensure that the distributed photovoltaic power generation equipment is safely connected to the power grid.

[0066] The method for secure access of distributed photovoltaic power generation equipment provided in this embodiment dynamically adjusts the current output power of distributed photovoltaic power generation equipment based on monitoring data, realizes the operation monitoring and output power regulation of the distributed power generation system, identifies abnormal conditions of the distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generates warning information; performs priority sorting on the warning information based on a preset priority sorting algorithm, and issues a warning notice based on the sorted warning information. By monitoring the operation status of the distributed photovoltaic power generation equipment, abnormal conditions are timely detected and a warning notice is triggered to ensure the safe and stable operation of the distributed photovoltaic power generation equipment, realize the secure, reliable and intelligent access of the distributed photovoltaic power generation equipment, thereby improving the stability, monitoring coverage and intelligence level of the power system, and solving the problem that the distributed power generation system cannot be safely connected to the power grid.

[0067] In this embodiment, a method for secure access of distributed photovoltaic power generation equipment is provided, which can be used in computer terminals such as central processing units, servers, etc. Figure 2 It is a flowchart of the method for secure access of distributed photovoltaic power generation equipment according to an embodiment of the present invention, as Figure 2 shown, and this process includes the following steps:

[0068] Step S201, perform real-time monitoring on the distributed photovoltaic power generation equipment, and obtain the monitoring data and equipment data of the distributed photovoltaic power generation equipment. For details, please refer to Figure 1 Step S101 of the shown embodiment, which will not be elaborated here.

[0069] Step S202, dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the monitoring data.

[0070] Specifically, the monitoring data includes the operation data and environmental data of the distributed photovoltaic power generation equipment; the distributed photovoltaic power generation equipment includes a photovoltaic inverter, and the above step S202 includes:

[0071] Step a, calculate the optimal output power of the distributed photovoltaic power generation equipment based on the operation data and environmental data, and control the photovoltaic inverter to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the optimal output power.

[0072] Specifically, before controlling the photovoltaic inverter to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the optimal output power, the following preparations need to be made:

[0073] Set up a remote control system that supports multiple mainstream communication protocols such as MQTT (Message Queuing Telemetry Transport), CoAP (Computer Protocol for the Internet of Things), and HTTPS (Hypertext Transfer Protocol Secure), and effectively communicate and integrate with the monitoring system to ensure the stability of data transmission. At the same time, develop an adaptive power regulation algorithm:

[0074] 1. Adjust the transmission power in real time according to factors such as channel quality, received signal strength indication (RSSI), and interference level. Obtain parameters such as channel quality, received signal strength (RSSI), and interference level in real time through monitoring devices. Dynamically adjust the transmission power of distributed photovoltaic power generation devices based on these parameters. When the channel quality is poor, the RSSI is low, or the interference level is high, the power system will automatically increase the transmission power to enhance the signal transmission ability and anti-interference ability; conversely, it will reduce the transmission power to save energy and reduce interference with other devices. This adjustment is monitored in real time to ensure that the communication between the distributed photovoltaic power generation devices and the real-time monitoring system always remains stable and efficient.

[0075] 2. Minimize unnecessary power consumption as much as possible on the premise of ensuring the quality of power generation benefits, and optimize the use of photovoltaic power generation and energy conversion.

[0076] First, conduct refined power management on distributed photovoltaic power generation devices and dynamically adjust the output power of the system according to actual needs; second, optimize the layout and angle of distributed photovoltaic panels to improve the light utilization rate and thus increase the power generation efficiency; third, adopt high-efficiency photovoltaic inverters and other power electronic devices to reduce losses during the energy conversion process; finally, regularly maintain and inspect distributed photovoltaic power generation devices to ensure that the devices are in the best working condition and reduce power waste caused by device failures.

[0077] 3. It can adapt to changes in environmental conditions, such as temperature and humidity changes, weather changes, etc., maintain communication stability, and improve the acquisition success rate. Adapting to environmental changes mainly refers to the algorithm itself. The algorithm dynamically adjusts system parameters according to real-time measured environmental parameters (such as temperature and humidity, weather changes, etc.) to ensure the stability and performance of distributed photovoltaic power generation equipment under different environmental conditions. Although the communication protocol also needs to consider the influence of environmental factors (such as communication distance, interference, etc.), its main task is to ensure the correct transmission of data and the reliability of communication. Automatically adjust the transmission power and other relevant parameters according to changes in environmental conditions, thereby maintaining communication stability and improving the acquisition success rate, being able to make decisions based on real-time measured data and adjust the system state, and precisely regulate the output power of the inverter according to the monitoring data. Establish a remote control system to allow remote monitoring and adjustment of the operating status of distributed photovoltaic power generation equipment.

[0078] Calculating the optimal output power of distributed photovoltaic power generation equipment based on operation data and environmental data, and controlling the photovoltaic inverter to dynamically adjust the current output power of the distributed photovoltaic power generation equipment is achieved through the following steps: First, collect the operation data and environmental data (such as light intensity, panel temperature, grid voltage and current, etc.) of the distributed photovoltaic power generation equipment in real time through sensors and monitoring devices; then, the operation data and environmental data are transmitted to the real-time control system for analysis and processing; based on these data, calculate the optimal output power of the distributed photovoltaic power generation equipment under the current conditions.

[0079] The output power of the photovoltaic panel can be calculated by the following formula:

[0080] Ppv = G·A·ηpv·(1 - β·(T - Tref)) (1);

[0081] Where, G is the light intensity (unit: W / m2); A is the effective area of the photovoltaic panel (unit: m2); ηpv is the efficiency of the photovoltaic panel under standard test conditions (STC); β is the temperature coefficient (unit: % / °C), usually -0.3% to -0.5% / °C; T is the actual temperature of the photovoltaic panel (unit: °C); Tref is the reference temperature (usually 25°C).

[0082] Use an optimization algorithm to calculate the optimal output power. The optimal output power can be represented by the following objective function, and the objective function can be expressed as:

[0083] MaxPout = G·A·ηpv·(1 - β·(T - Tref))·ηinv (2);

[0084] Adjust the actual output power by controlling the photovoltaic inverter. This adjustment is real-time and will be automatically adjusted according to changes in environmental conditions and system status. It is not directly based on communication parameters such as channel quality, RSSI, or interference level, but on the operating data and environmental parameters of the distributed photovoltaic power generation equipment itself. In this way, it can be ensured that the distributed photovoltaic power generation equipment always operates in the best state, improving energy utilization efficiency and power generation quality.

[0085] Step S203, identify abnormal conditions of the distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generate an alarm message. For details, please refer to Figure 1 Step S103 of the embodiment shown, which will not be elaborated here.

[0086] Step S204, sort the alarm messages based on a preset priority sorting algorithm, and send an alarm notification based on the sorted alarm messages, so that the distributed photovoltaic power generation equipment can be safely connected to the power grid. For details, please refer to Figure 1 Step S104 of the embodiment shown, which will not be elaborated here.

[0087] The method for safely connecting the distributed photovoltaic power generation equipment provided in this embodiment calculates the optimal output power of the distributed photovoltaic power generation equipment based on the operating data and environmental data, and controls the photovoltaic inverter to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the optimal output power, ensuring that the distributed photovoltaic power generation equipment always operates in the best state, improving energy utilization efficiency and power generation quality.

[0088] In this embodiment, a method for safely connecting a distributed photovoltaic power generation equipment is provided, which can be used in computer terminals, such as central processing units, servers, etc. Figure 3 It is a flowchart of the method for safely connecting a distributed photovoltaic power generation equipment according to an embodiment of the present invention. As Figure 3 shown, this process includes the following steps:

[0089] Step S301, perform real-time monitoring on the distributed photovoltaic power generation equipment, and obtain the monitoring data and equipment data of the distributed photovoltaic power generation equipment. For details, please refer to Figure 2 Step S201 of the embodiment shown, which will not be elaborated here.

[0090] Step S302, dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the monitoring data. For details, please refer to Figure 2 Step S202 of the embodiment shown, which will not be elaborated here.

[0091] Step S303, identify abnormal conditions of the distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generate an alarm message.

[0092] Specifically, the collaborative operation strategy algorithm mentioned in step a above is developed to achieve the collaborative operation of distributed new energy in low-voltage power distribution areas, thereby improving the overall efficiency of distributed photovoltaic power generation equipment. A distributed intelligent alarm architecture, namely the alarm module, is designed to monitor the operation status of distributed photovoltaic power generation equipment, detect abnormal situations in a timely manner, and trigger alarm notifications to ensure the safe and stable operation of distributed photovoltaic power generation equipment.

[0093] Among them, the distributed intelligent alarm architecture covers the whole process from the substation to the master station. This architecture aims to reduce the pressure on a single node through decentralized processing and improve the overall efficiency. The architecture distributes the alarm module to multiple nodes, and each node is responsible for processing a part of the tasks, so as to achieve the efficient operation of the whole. Specifically, it covers all links from the substation layer, the regional layer to the master station layer, including data collection, processing, analysis, alarm triggering and notification, etc.

[0094] The substation layer includes a large number of sensor nodes deployed in the monitoring area, devices such as electric energy meters and temperature and humidity meters, which are used to collect data of on-site equipment, conduct preliminary processing and filtering, and are also used to identify potential abnormalities or faults and generate preliminary alarm information.

[0095] The regional layer is located between the substation layer and the master station layer and is used to summarize the alarm information from multiple substation layers for further analysis and processing. The alarm information includes various situations such as equipment failures, data anomalies, and operating status deviating from the preset range. Through an efficient data transmission and reception mechanism, it is ensured that the alarm information of all substations can be summarized to the regional layer for processing in a timely and complete manner. Analyze the received alarm information, including identifying key information such as the type, source, and severity of the alarm information, and conduct pattern recognition and trend analysis to discover potential fault patterns or abnormal behaviors. According to the analysis results, the regional layer conducts corresponding processing on the alarm information, including confirming the authenticity of the alarm information, classifying and marking the alarm, and triggering corresponding processing processes, etc.

[0096] The regional layer is also used to sort and filter the alarms according to preset rules and strategies, including: The regional layer is also responsible for transmitting the processed alarm information to the next level (master station layer) or relevant processing systems for further response and processing. According to preset rules and strategies, the alarm information is sorted by priority based on factors such as the severity of the alarm, the impact on the system, and the urgency of processing.

[0097] The regional layer is also responsible for interacting with other relevant systems, including communication with the master station layer, coordination with other regional layers, and integration with other external systems, etc. Through interaction with other systems, the regional layer can share alarm information, cooperate in handling faults, and achieve a wider range of security access and monitoring functions.

[0098] The main station layer is used to receive the sorted alarm information from the regional layer, perform final analysis and decision-making, set the alarm information with high priority as high-level alarm information, and generate alarm notifications based on the high-level alarm information and send them to relevant personnel or systems.

[0099] The above step S303 includes:

[0100] Step S3031: Compare the monitoring data with the preset monitoring threshold, and regard the monitoring data at the critical preset monitoring threshold or greater than the preset monitoring threshold as abnormal monitoring data.

[0101] Specifically, the preset monitoring threshold is set according to the actual situation and is not specifically limited here. The monitoring data at the critical preset monitoring threshold or greater than the preset monitoring threshold is regarded as abnormal monitoring data.

[0102] Step S3032: Compare the device data with the preset device threshold, and regard the device data at the critical preset device threshold or greater than the preset device threshold as abnormal device data.

[0103] Specifically, the preset device threshold is set according to the actual situation and is not specifically limited here. The device data at the critical preset device threshold or greater than the preset device threshold is regarded as abnormal device data.

[0104] Step S3033: Generate alarm information based on the abnormal monitoring data and abnormal device data.

[0105] Specifically, the alarm information includes the following content:

[0106] Alarm type: Such as equipment failure, data anomaly, communication interruption, etc.

[0107] Alarm source: The identifier of the specific device or sensor node.

[0108] Alarm severity: Divided into low level, medium level, and high level according to the degree of threshold exceeding the range.

[0109] Timestamp: The time when the anomaly occurred.

[0110] Additional information: Such as the specific value of the abnormal data, possible reasons, etc.

[0111] Step S304: Screen and filter the alarm information based on the preset filtering conditions to delete alarm interference.

[0112] Specifically, the preset filtering conditions can be the alarm type, alarm source, etc. Screen and filter the alarm information that does not conform to the alarm type and alarm source, and delete it to reduce unnecessary alarm interference.

[0113] Step S305: Sort the alarm information based on a preset priority sorting algorithm, and send an alarm notification based on the sorted alarm information, so that the distributed photovoltaic power generation equipment can be safely connected to the power grid.

[0114] Specifically, the above step S305 includes:

[0115] Step S3051: Summarize the alarm information, and identify the type, source, severity, severity to the system, and urgency of handling of the alarm information.

[0116] Specifically, summarize the alarm information to form an alarm information set (A = {a_1, a_2,..., a_n}).

[0117] Step S3052: Take the type, source, severity, severity to the system, and urgency of handling of the alarm information as individual attributes of the alarm information respectively.

[0118] Specifically, take the type, source, severity, severity to the system, and urgency of handling of each alarm information as 5 individual attributes of the alarm information, and represent them with letters respectively as: type (t_i), source (s_i), severity (p_i), impact degree on the system (c_i), and urgency of handling (e_i).

[0119] Step S3053: Assign weights to each alarm attribute based on a preset priority sorting algorithm, and calculate the comprehensive score of each alarm information based on the weights.

[0120] Specifically, assign a weight (w_t, w_s, w_p, w_c, w_e) to each attribute.

[0121] According to the above principle, the weights assigned to the 5 attributes of the alarm information are as follows:

[0122] Type (t_i): weight w_t = 0.3w_t = 0.3;

[0123] Source (s_i): weight w_s = 0.2w_s = 0.2;

[0124] Severity (p_i): weight w_p = 0.25w_p = 0.25;

[0125] Impact degree on the system (c_i): weight w_c = 0.15w_c = 0.15;

[0126] Urgency of handling (e_i): weight w_e = 0.1w_e = 0.1;

[0127] The weights assigned above reflect the importance of the attributes in the priority sorting.

[0128] For each alarm message (a_i), calculate its comprehensive score (S_i):

[0129] S_i = w_t * t_i + w_s * s_i + w_p * p_i + w_c * c_i + w_e * e_i;

[0130] Among them, (t_i, s_i, p_i, c_i, e_i) need to be quantified according to specific circumstances. For example, the severity level can be divided into several grades, and a numerical value can be assigned to each grade; * is used to calculate the product of the weight and the attribute value.

[0131] Step S3054, perform priority sorting on each alarm message based on the comprehensive score.

[0132] Specifically, sort each alarm message (A) in the alarm message set according to the comprehensive score (S_i) to obtain the sorted alarm message set (A').

[0133] Through the preset priority sorting algorithm, it can be ensured that high-priority alarm messages can be processed in a timely and effective manner, while low-priority alarm messages can be processed or ignored at an appropriate time.

[0134] Step S3055, compare the sorted alarm messages with the preset alarm threshold, and set the alarm messages greater than the preset alarm threshold as high-level alarm messages.

[0135] Specifically, the preset alarm threshold is set according to the actual working conditions, and high-level alarm messages can be screened out according to the preset alarm threshold.

[0136] Step S3056, send an alarm notification based on the high-level alarm messages.

[0137] Specifically, trigger a high-level alarm based on the high-level alarm messages and notify the high-level alarm to relevant personnel or systems.

[0138] Step S306, perform pattern recognition and trend analysis based on the type, source, severity, severity to the system, and processing urgency of the alarm messages to obtain the analysis results; confirm the authenticity of the alarm messages, classify and mark the alarm messages, and trigger corresponding processing based on the analysis results.

[0139] Specifically, pattern recognition refers to identifying recurring rules or patterns from historical alarm data, which is used to discover rules from historical data to help confirm alarm authenticity, classification marking, and root cause analysis.

[0140] Trend analysis refers to identifying the changing trends of alarm information through time series analysis of historical alarm data, thereby predicting possible future faults or anomalies, for predicting future alarm changes, optimizing resource allocation, and enhancing system reliability.

[0141] In the embodiments of the present invention, by distributing the alarm system to multiple nodes, decentralized processing of tasks is achieved, reducing the pressure on a single node. Each node only needs to be responsible for processing a part of the tasks, and can focus more on its own work, thus improving the overall efficiency. The distributed intelligent alarm architecture also improves the scalability and fault tolerance of the system, making the system more robust and reliable. When implementing the distributed intelligent alarm architecture, it is necessary to carefully consider the deployment locations, quantities of the nodes, and the communication methods between them. It is also necessary to continuously optimize and adjust the architecture to adapt to the requirements and changes in actual operation. Monitoring and analyzing the operating status of the architecture is also very important to promptly discover and solve problems.

[0142] In summary, the proposed distributed intelligent alarm architecture provides a more efficient and reliable alarm service for the whole process from the substation to the main station by means of decentralized processing, reducing the pressure on a single node, and improving the overall efficiency.

[0143] The method for safe access of distributed photovoltaic power generation equipment provided in this embodiment can ensure that high-priority alarm information can be processed promptly and effectively through a priority sorting algorithm, while low-priority alarm information can be processed or ignored at an appropriate time. Filter and screen the alarm information based on preset filtering conditions, delete alarm interference, reduce unnecessary alarm interference, and improve the processing efficiency of alarm information. Compare the sorted alarm information with a preset alarm threshold, and set the alarm information greater than the preset alarm threshold as high-level alarm information; issue an alarm notification based on the high-level alarm information to promptly discover and solve problems, providing a more efficient and reliable alarm service.

[0144] It should be noted that when the distributed photovoltaic power generation equipment is accessed, the embodiments of the present invention also adopt intelligent circuit breakers to formulate performance test standards and implement centralized monitoring and management. Specifically, it includes:

[0145] An intelligent circuit breaker with remote control and monitoring functions is adopted to ensure the safety protection of distributed photovoltaic power generation equipment. The intelligent circuit breaker mainly consists of a circuit breaker body, an intelligent controller, and an upper computer. Among them, the intelligent controller is the core part, responsible for data acquisition, intelligent identification, and adjustment control. The data acquisition module is composed of sensors and is used to collect grid data in real time; the intelligent identification module automatically identifies the grid working state based on the collected data and the signals sent from the main control room, and determines the appropriate opening and closing motion characteristics; the adjustment device is used to adjust the parameters of the operating mechanism to change the motion characteristics during each operation. At the same time, determine the performance test standards of the intelligent circuit breaker and establish corresponding test procedures and standards.

[0146] Test standard formulation: ① Key performance indicators: including response time, system processing capacity, and throughput, etc., to ensure the stability and efficiency of the circuit breaker under various working conditions. ② Safety performance: Test the insulation performance, heat dissipation performance, and behavior under short-circuit conditions of the circuit breaker to ensure that it can reliably cut off the current in case of a fault and protect subsequent equipment.

[0147] Test procedure establishment: ① Pre-test preparation: Send a reset function shutdown command to multiple intelligent circuit breakers to prepare for full-function testing. ② Full-function testing: Conduct a comprehensive test on each intelligent circuit breaker and record the test results, including the location and situation where the operating program freezes. ③ Simulation and repair: Based on the test results, simulate the operating program, find the cause of the freeze, and repair the operating program of the circuit breaker. ④ Program refresh and verification: Refresh the repaired operating program to each intelligent circuit breaker and conduct a final verification to ensure that the performance meets the standards. ⑤ Finally, establish a centralized monitoring and management system to monitor and manage the intelligent circuit breakers in real time to ensure their normal operation.

[0148] In order to realize the connection of distributed photovoltaic power generation equipment to the grid and achieve the maximum benefit, the benefit analysis and energy-saving and carbon-reduction effects of distributed photovoltaic power generation equipment are also evaluated, specifically including:

[0149] Establish a data analysis model to integrate the operation data and energy consumption information of the photovoltaic power generation system. Develop an energy management system to analyze and evaluate the benefits of the photovoltaic power generation system, and at the same time evaluate its reduction effects on energy consumption and carbon emissions, providing a comprehensive evaluation of economic benefits and environmental benefits.

[0150] The data analysis model aims to integrate and analyze the operation data and energy consumption information of the photovoltaic power generation system to comprehensively evaluate the performance and economic benefits of the system. The model will collect the following key data: Operation data of the photovoltaic power generation system: including power generation amount, power generation efficiency, power consumption situation, equipment operation status (such as the working status of inverters, battery panels, etc.), fault records, etc.

[0151] The analysis process includes: ① Data preprocessing: cleaning, denoising, and normalizing the collected raw data to ensure data accuracy and consistency. ② Performance analysis: analyzing key indicators such as the power generation efficiency, stability, and failure rate of the photovoltaic power generation system. ③ Trend prediction: based on historical data, using methods such as time series analysis to predict the future power generation and energy consumption trends of the photovoltaic power generation system to provide support for decision-making.

[0152] The revenue evaluation function includes direct revenue and indirect revenue. The direct revenue is obtained by multiplying the electricity generated by the photovoltaic power generation system by the local electricity price to get the direct electricity sales revenue of the system; the indirect revenue is the indirect revenue considering policy supports such as government subsidies and tax incentives, as well as environmental protection rewards obtained through energy conservation and emission reduction. This value needs to be manually evaluated and input. The sum of the two is the total comprehensive revenue.

[0153] The effect of carbon emission reduction can be calculated according to the carbon emission factor value, which varies according to different regions and time periods. The environmental benefit index of energy conservation and carbon reduction can be obtained by multiplying the directly saved electricity by the carbon emission factor.

[0154] The method for safe access of distributed photovoltaic power generation equipment provided by the embodiments of the present invention can be widely applied in other distributed photovoltaic power generation equipment projects and related products. By improving the intelligence and security of the monitoring system, optimizing the operation monitoring and control of the inverter, improving the performance of the intelligent circuit breaker, and promoting the development of new energy collaborative operation strategies, these technological innovations will provide reliable technical support for future similar projects and promote the entire industry to develop in a more efficient, safer, and more intelligent direction.

[0155] In this embodiment, a device for safe access of distributed photovoltaic power generation equipment is also provided. This device is used to implement the above embodiments and preferred implementation manners, and those that have been described will not be repeated. As used below, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0156] This embodiment provides a device for safe access of distributed photovoltaic power generation equipment, as Figure 4 shown, including:

[0157] A data acquisition module 401, configured to perform real-time monitoring on the distributed photovoltaic power generation equipment and acquire the monitoring data and device data of the distributed photovoltaic power generation equipment;

[0158] A power dynamic adjustment module 402, configured to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the monitoring data;

[0159] An alarm information generation module 403 is configured to identify abnormal conditions of the distributed photovoltaic power generation device based on the monitoring data and the device data, and generate alarm information;

[0160] An alarm information sorting and alarm notification sending module 404 is configured to sort the alarm information based on a preset priority sorting algorithm, and send an alarm notification based on the sorted alarm information, so that the distributed photovoltaic power generation device can be safely connected to the power grid.

[0161] In some alternative embodiments, the monitoring data includes the operation data and environmental data of the distributed photovoltaic power generation device; the distributed photovoltaic power generation device includes a photovoltaic inverter and photovoltaic panels; the operation data includes the effective area of the photovoltaic panels, the efficiency of the photovoltaic panels under standard test conditions, the grid voltage and current where the photovoltaic panels are located; the environmental data includes the light intensity of the photovoltaic panels and the actual temperature of the photovoltaic panels; the power dynamic adjustment module 402 includes:

[0162] An output power adjustment unit is configured to calculate the optimal output power of the distributed photovoltaic power generation device based on the effective area of the photovoltaic panels, the efficiency of the photovoltaic panels under standard test conditions, the grid voltage and current where the photovoltaic panels are located, the light intensity of the photovoltaic panels, and the actual temperature of the photovoltaic panels, and control the photovoltaic inverter to dynamically adjust the current output power of the distributed photovoltaic power generation device based on the optimal output power; the optimal output power of the distributed photovoltaic power generation device is expressed by the following formula:

[0163] MaxPout = G·A·ηpv·(1 - β·(T - Tref))·ηinv;

[0164] Wherein, G is the light intensity; A is the effective area of the photovoltaic panels; ηpv is the efficiency of the photovoltaic panels under standard test conditions; β is the temperature coefficient; T is the actual temperature of the photovoltaic panels; Tref is the reference temperature; ηinv is the current of the photovoltaic panels under standard test conditions.

[0165] In some alternative embodiments, the alarm information generation module 403 includes:

[0166] An abnormal monitoring data determination unit is configured to compare the monitoring data with a preset monitoring threshold, and use the monitoring data that is at or greater than the preset monitoring threshold as abnormal monitoring data.

[0167] An abnormal device data determination unit is configured to compare the device data with a preset device threshold, and use the device data that is at or greater than the preset device threshold as abnormal device data.

[0168] An alarm information generation unit is configured to generate alarm information based on the abnormal monitoring data and the abnormal device data.

[0169] In some alternative embodiments, the alarm information sorting and alarm notification sending module 404 includes:

[0170] An information recognition unit, configured to summarize alarm information and identify the type, source, severity, severity to the system, and processing urgency of the alarm information.

[0171] An attribute determination unit, configured to use the type, source, severity, severity to the system, and processing urgency of the alarm information as individual attributes of the alarm information respectively.

[0172] An overall score calculation unit, configured to assign weights to each alarm attribute based on a preset priority sorting algorithm, and calculate the overall score of each alarm information based on the weights; wherein, the following formula is used to represent calculating the overall score of each alarm information based on the weights:

[0173] S_i = w_t * t_i + w_s * s_i + w_p * p_i + w_c * c_i + w_e * e_i;

[0174] Wherein, S_i is the overall score of each alarm information, w_t, w_s, w_p, w_c, and w_e respectively represent the weights of the type of the alarm information, the weight of the source, the weight of the severity, the weight of the severity to the system, and the weight of the processing urgency, and * is used to calculate the product of the weight and the attribute value.

[0175] A priority sorting unit, configured to perform priority sorting on each alarm information based on the overall score.

[0176] A high-level alarm information determination unit, configured to compare the sorted alarm information with a preset alarm threshold, and set the alarm information greater than the preset alarm threshold as high-level alarm information.

[0177] An alarm notification sending unit, configured to send an alarm notification based on the high-level alarm information.

[0178] In some alternative embodiments, the device for secure access of distributed photovoltaic power generation equipment further includes:

[0179] An alarm information analysis module, configured to perform pattern recognition and trend analysis based on the type, source, severity, severity to the system, and processing urgency of the alarm information to obtain an analysis result; confirm the authenticity of the alarm information, classify and mark the alarm information, and trigger corresponding processing based on the analysis result.

[0180] An alarm information screening module, configured to screen and filter the alarm information based on preset filtering conditions, and delete alarm interference.

[0181] The further function descriptions of the above-mentioned modules and units are the same as those in the corresponding embodiments above, and will not be elaborated here.

[0182] The device for secure access of distributed photovoltaic power generation equipment in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0183] An embodiment of the present invention also provides a computer device having the above Figure 4 shown device for secure access of distributed photovoltaic power generation equipment.

[0184] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of a computer device provided by an optional embodiment of the present invention. As Figure 5 shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a set of blade servers, or a multi-processor system). Figure 5 In

[0185] the example of one processor 10 is taken.

[0186] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0187] The memory 20 may include a program storage area and a data storage area. The program storage area may store an operating system and application programs required for at least one function. The data storage area may store data created according to the use of the computer device and the like. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely disposed relative to the processor 10, and these remote memories may be connected to the computer device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0188] The memory 20 may include a volatile memory, such as a random access memory. The memory may also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive. The memory 20 may further include a combination of the above types of memories.

[0189] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 may be connected through a bus or other means. Figure 5 Taking connection through a bus as an example.

[0190] The input device 30 may receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED), and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.

[0191] Embodiments of the present invention also provide a computer-readable storage medium. The method according to the embodiments of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code that is originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored as such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0192] A part of the present invention can be applied as a computer program product, for example, computer program instructions. When executed by a computer, through the operation of the computer, the method and / or technical solution according to the present invention can be invoked or provided. Those skilled in the art should understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible by the computer.

[0193] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for secure access to distributed photovoltaic power generation equipment, characterized in that: The method comprises: Conduct real-time monitoring of distributed photovoltaic power generation equipment and obtain monitoring data and equipment data of distributed photovoltaic power generation equipment; Dynamically adjusting the current output power of the distributed photovoltaic power generation equipment based on the monitoring data; Identify abnormal conditions of distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generate alarm information; The alarm information is prioritized based on a preset priority sorting algorithm, and an alarm notification is issued based on the sorted alarm information, so that the distributed photovoltaic power generation equipment can be safely connected to the power grid.

2. The method according to claim 1, characterized in that The monitoring data includes the operation data and environmental data of the distributed photovoltaic power generation equipment; the distributed photovoltaic power generation equipment includes a photovoltaic inverter and a photovoltaic panel; the operation data includes the effective area of ​​the photovoltaic panel, the efficiency of the photovoltaic panel under standard test conditions, and the voltage and current of the grid where the photovoltaic panel is located; the environmental data includes the light intensity of the photovoltaic panel and the actual temperature of the photovoltaic panel; Dynamically adjusting the current output power of the distributed photovoltaic power generation equipment based on the monitoring data includes: The optimal output power of the distributed photovoltaic power generation equipment is calculated based on the effective area of ​​the photovoltaic panel, the efficiency of the photovoltaic panel under standard test conditions, the voltage and current of the power grid where the photovoltaic panel is located, the light intensity of the photovoltaic panel and the actual temperature of the photovoltaic panel, and the photovoltaic inverter is controlled to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the optimal output power; the optimal output power of the distributed photovoltaic power generation equipment is expressed by the following formula: MaxPout=G·A·ηpv·(1-β·(T-Tref))·ηinv; Wherein, G is the light intensity; A is the effective area of ​​the photovoltaic panel; ηpv is the efficiency of the photovoltaic panel under standard test conditions; β is the temperature coefficient; T is the actual temperature of the photovoltaic panel; Tref is the reference temperature; ηinv is the current of the photovoltaic panel under standard test conditions.

3. The method according to claim 1, characterized in that Based on the monitoring data and the equipment data, abnormal conditions of the distributed photovoltaic power generation equipment are identified, and alarm information is generated, including: Comparing the monitoring data with a preset monitoring threshold, and taking the monitoring data whose critical preset monitoring threshold is greater than the preset monitoring threshold as abnormal monitoring data; Compare the device data with a preset device threshold, and regard device data that is critical to the preset device threshold or greater than the preset device threshold as abnormal device data; Generate alarm information based on the abnormal monitoring data and abnormal equipment data.

4. The method according to claim 1, characterized in that The prioritizing the alarm information based on a preset priority sorting algorithm includes: Summarize the alarm information and identify the type, source, severity, severity to the system and urgency of handling of the alarm information; The type, source, severity, severity to the system and urgency of handling of the alarm information are respectively used as individual attributes of the alarm information; Assign a weight to each alarm attribute based on a preset priority sorting algorithm, and calculate a comprehensive score for each alarm information based on the weight; Prioritize each alert based on the overall score.

5. The method according to claim 4, characterized in that The following formula is used to calculate the comprehensive score of each alarm information based on the weight: S_i=w_t*t_i+w_s*s_i+w_p*p_i+w_c*c_i+w_e*e_i; Among them, S_i is the comprehensive score of each alarm information, w_t, w_s, w_p, w_c, and w_e represent the weight of the type of alarm information, the weight of the source, the weight of the severity, the weight of the severity to the system, and the weight of the urgency of processing, respectively, and * is used to calculate the product of the weight and the attribute value.

6. The method according to claim 4, characterized in that The method further comprises: Based on the type, source, severity, and urgency of the alarm information, pattern recognition and trend analysis are performed on the severity of the system and the urgency of processing to obtain analysis results; Based on the analysis results, the authenticity of the alarm information is confirmed, the alarm information is classified and marked, and corresponding processing is triggered.

7. The method according to claim 1, characterized in that The method further comprises: Screen and filter alarm information based on preset filtering conditions to delete alarm interference.

8. The method according to claim 1, characterized in that The issuing of an alarm notification based on the sorted alarm information includes: Compare the sorted alarm information with the preset alarm threshold, and set the alarm information greater than the preset alarm threshold as high-level alarm information; Issues an alarm notification based on advanced alarm information.

9. A device for safe access to distributed photovoltaic power generation equipment, characterized in that: The device comprises: A data acquisition module is used to monitor distributed photovoltaic power generation equipment in real time and obtain monitoring data and equipment data of distributed photovoltaic power generation equipment; A power dynamic adjustment module, used to dynamically adjust the current output power of the distributed photovoltaic power generation equipment based on the monitoring data; An alarm information generation module is used to identify abnormal conditions of distributed photovoltaic power generation equipment based on the monitoring data and equipment data, and generate alarm information; The alarm information sorting and alarm notification issuing module is used to prioritize the alarm information based on a preset priority sorting algorithm, and issue an alarm notification based on the sorted alarm information to enable distributed photovoltaic power generation equipment to be safely connected to the power grid.

10. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for secure access to a distributed photovoltaic power generation device according to any one of claims 1 to 8 by executing the computer instructions.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for safely accessing a distributed photovoltaic power generation device according to any one of claims 1 to 8.

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