Method and system for enhancing monitoring of new energy fault power generation unit by centralized control center

Abstract

The invention relates to the technical field of alarm information monitoring, in particular to a method and system for enhancing monitoring of a centralized control center on a new energy fault power generation unit, and the method comprises the steps: building an alarm frequency power generation unit recognition algorithm, and collecting alarm frequency characteristic parameters; establishing an identification model according to the characteristic parameters; focusing on an alarm frequency sending unit according to the identification model, and carrying out data visualization on the alarm information in a chart form; and the alarm information is individually recommended to monitoring personnel through the fault levels divided by the centralized control center, so that the risk of operation and maintenance delay caused by untimely information processing is reduced. According to the invention, the efficiency and accuracy of fault identification can be significantly improved in the monitoring of the new energy power generation unit. According to the method, a complete monitoring process is formed from collection of the characteristic parameters to modeling identification and then to visual display and personalized pushing of the data, so that emergency situations of the power grid can be coped with.

Description

Technical Field

[0001] The present invention relates to the technical field of alarm information monitoring, and in particular to a method and system for strengthening the monitoring of a new energy fault power generation unit by a centralized control center. Background Art

[0002] With the widespread application of renewable energy power generation, especially in the fields of wind power and photovoltaic power generation, the technology development of the centralized control center as a key control and monitoring node is becoming increasingly important. Early new energy monitoring technology mainly relied on basic monitoring systems to achieve remote monitoring of power generation units by collecting operating parameters and alarm information. However, with the rapid expansion of renewable energy installed capacity and the increase in complex systems, traditional monitoring methods have gradually exposed certain limitations. In recent years, the monitoring technology of the centralized control center based on the Internet of Things, big data analysis and artificial intelligence technology has gradually developed. Through more sophisticated sensors and real-time data transmission, data acquisition, analysis and application have become more comprehensive and rapid. In addition, the development of data visualization and alarm push technology has made the centralized control center more efficient in monitoring and responding to failures of renewable energy power generation units. This technological advancement not only improves the operating efficiency of power generation units, but also ensures the stability of the power grid to a certain extent. However, although the monitoring technology of the centralized control center has made certain progress, there are still many links that need to be optimized in actual operation. For example, it is still an important topic to improve the intelligence level of the monitoring system to quickly extract key data from a large amount of data and alarm information and accurately identify units with frequent alarms and their specific fault locations.

[0003] Traditional monitoring systems mainly collect basic data, which makes it difficult to identify potential faults through subtle abnormal changes in the early stages of a fault, resulting in a low fault detection rate. Secondly, the existing fault location technology is not accurate enough. When equipment alarms are frequent, the system often finds it difficult to accurately locate the specific faulty unit, which prolongs the troubleshooting and repair time and affects the efficiency of equipment operation and maintenance. In addition, traditional monitoring systems lack a focus mechanism and are unable to conduct targeted monitoring and early warning based on the frequency of alarms or fault characteristics, resulting in irrational resource allocation and increased workload for monitoring personnel. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: to efficiently and quickly monitor the fault problems of power generation units, and to improve the accuracy of locating faulty power generation units by establishing an alarm-frequent unit identification model, so as to better deal with sudden problems caused by renewable energy power generation.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for strengthening the monitoring of faulty new energy power generation units by a centralized control center, comprising:

[0007] Establish an algorithm for identifying power generation units with frequent alarms, and collect characteristic parameters of frequent alarms; establish an identification model based on the characteristic parameters; focus on units with frequent alarms based on the identification model, and visualize the alarm information in the form of charts; and push the alarm information to monitoring personnel in a personalized manner.

[0008] As a preferred solution of the method for strengthening the monitoring of faulty power generation units of new energy by the centralized control center described in the present invention, the establishment of an algorithm for identifying power generation units with frequent alarms includes extracting characteristic parameters of frequent alarms through analysis of historical alarm data, establishing an identification model, and identifying power generation units with frequent alarms in real time.

[0009] As a preferred solution of the method for strengthening the monitoring of faulty power generation units of new energy by a centralized control center described in the present invention, the identification of power generation units with frequent alarms includes highlighting them on the monitoring interface using different colors, icons or flashing to quickly locate the alarm equipment.

[0010] As a preferred solution of the method for strengthening the monitoring of faulty power generation units of new energy by a centralized control center described in the present invention, the highlighting includes identifying power generation units with frequent alarms, highlighting key equipment in the power generation units on the monitoring interface, real-time monitoring and analysis of the operating parameters of the key equipment, and alarming when abnormalities occur. The key equipment includes key generators and transformers.

[0011] As a preferred solution of the method for strengthening the monitoring of new energy faulty power generation units by the centralized control center described in the present invention, the real-time monitoring and analysis of the operating parameters of key equipment includes displaying the operating parameters and alarm information of key equipment in the form of charts, real-time monitoring of the operating parameters of key equipment, and presenting the alarm information of key equipment.

[0012] As a preferred solution of the method for strengthening the monitoring of faulty power generation units of renewable energy by a centralized control center described in the present invention, the display in the form of a chart is specifically to present the identified power generation units separately in the form of a wind turbine matrix.

[0013] As a preferred solution of the method for strengthening the monitoring of faulty power generation units of new energy by a centralized control center described in the present invention, the display of key equipment operating parameters and alarm information in the form of charts includes presenting the identified power generation units separately in the form of a wind turbine matrix display interface.

[0014] As a preferred solution of the method for strengthening the monitoring of faulty power generation units of new energy by the centralized control center described in the present invention, the power generation units to be identified are presented separately in the form of a wind turbine matrix display interface, including pushing personalized alarm information to monitoring personnel according to the display page, thereby improving the timeliness of alarm processing.

[0015] Another object of the present invention is to provide a system for strengthening the monitoring of faulty new energy power generation units by the centralized control center, which can screen and locate frequently faulty equipment in multiple power generation units in an automated manner to support more efficient and accurate processing of alarm information, thereby improving the ability to respond to and manage power generation unit failures.

[0016] In order to solve the above technical problems, the present invention provides the following technical solutions: a system for strengthening the monitoring of new energy fault power generation units by a centralized control center, comprising: a data acquisition module, an information identification module, an alarm information visualization module and an intelligent push module;

[0017] The data acquisition module establishes an algorithm for identifying power generation units with frequent alarms and collects characteristic parameters of frequent alarms;

[0018] The information recognition module establishes a recognition model according to the characteristic parameters;

[0019] The alarm information visualization module focuses on the alarm-frequent units according to the recognition model and visualizes the alarm information in the form of charts;

[0020] The intelligent push module pushes the alarm information to the monitoring personnel in a personalized manner.

[0021] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for strengthening the centralized control center's key monitoring of new energy fault power generation units are implemented.

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for strengthening the centralized control center's key monitoring of new energy fault power generation units as described above.

[0023] Beneficial effects of the present invention: The present invention provides a system for strengthening the centralized control center's key monitoring of new energy faulty power generation units, ensuring that the monitoring system can focus on power generation units with fault trends, avoiding misjudgments and missed judgments due to excessive alarm information, greatly improving information processing efficiency, and reducing the workload of monitoring personnel.

[0024] The centralized control center recommends alarm information to monitoring personnel based on the fault levels they have classified, ensuring that they can respond to critical faults in a timely manner, reducing the risk of operation and maintenance delays caused by untimely information processing.

[0025] The invention can significantly improve the efficiency and accuracy of fault identification in the monitoring of renewable energy power generation units. From the collection of characteristic parameters to model identification, to the visualization and personalized push of data, a complete monitoring process is formed, which can cope with emergencies in the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0027] Figure 1 An overall flow chart of a method for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center is provided as an embodiment of the present invention.

[0028] Figure 2 An embodiment of the present invention provides a display interface for separately presenting the identified power generation units in the form of a wind turbine matrix in a method for strengthening the monitoring of faulty power generation units by a centralized control center. DETAILED DESCRIPTION

[0029] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0030] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0031] Example 1

[0032] Reference Figure 1 , which is an embodiment of the present invention, a method for strengthening the monitoring of a faulty power generation unit of a new energy source by a centralized control center, comprising:

[0033] S1: Establish an algorithm for identifying power generation units with frequent alarms and collect characteristic parameters of frequent alarms.

[0034] It should be noted that the characteristic parameters of frequent alarms mainly include: the alarm frequency of the power generation unit, the historical alarm trend and the severity of the fault.

[0035] Furthermore, an algorithm for identifying devices with frequent alarms is established. Based on the identification algorithm, characteristic parameters of alarm devices are extracted. A recognition model for characteristic parameters of alarm-frequent devices is established. The recognition model acquires and presents the alarm-frequent devices in real time based on the characteristic parameters, and pushes the alarm information to the monitoring personnel. Figure 1 shown.

[0036] Furthermore, the present invention takes into account that the collected alarm frequency characteristic parameters include the number of historical alarms, alarm frequency, and alarm severity. To this end, an alarm-frequent power generation unit identification algorithm is established to collect alarm-frequent power generation unit information.

[0037] In the embodiment of the present application, the frequent alarm device identification algorithm first extracts the characteristic parameters of each power generation unit from the historical alarm data of the system, including the key features of alarm type, occurrence time, and duration. Then the data is screened to remove abnormal data including false alarms and single failures to ensure the accuracy of the data, and the number of alarms for each power generation unit is counted. If the number of alarms of a unit in a specified time window exceeds a preset threshold, the unit is marked as a frequent alarm device. The threshold can be adjusted according to actual experience or historical data to adapt to the failure rate of different devices.

[0038] In this embodiment, the frequently alarming power generation unit identification algorithm performs a multi-dimensional analysis of historical alarm data. The algorithm can accurately collect characteristic parameters of frequent alarms, effectively filter sporadic alarms, and improve monitoring efficiency, thereby ensuring system security, saving operation and maintenance costs, and improving long-term monitoring performance through continuous optimization of historical data.

[0039] S2: Establishing a recognition model according to the characteristic parameters.

[0040] It should be noted that, based on the collected characteristic parameters, a frequent alarm unit identification model is established to identify the frequent alarm generating units.

[0041] Furthermore, the present invention automatically identifies and labels alarm units by establishing a frequent alarm identification model and based on a frequent alarm power generation unit identification algorithm.

[0042] In an embodiment of the present application, the recognition model first receives the feature parameters extracted by the recognition algorithm, distinguishes the importance of different feature parameters through preset weighting coefficients, and comprehensively calculates all features into a total score, namely, the alarm frequency score. Then, the feature parameters are smoothed by the Sigmoid function. When the alarm feature approaches the preset threshold, the score will gradually increase, and when the deviation is large, the score will increase rapidly to reduce the risk of false alarms. Finally, the model divides the alarm score of each power generation unit into different intervals to define the alarm priority, and takes different processing methods for the alarm information according to the alarm priority.

[0043] Example 2

[0044] Reference Figure 2 , which is an embodiment of the present invention, provides a method for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center, comprising:

[0045] S3: focusing on the units with frequent alarms according to the recognition model, and visualizing the alarm information in the form of charts.

[0046] It should be noted that the key alarm-frequent units marked by the identification model are summarized and presented separately on the display page in the form of a fan matrix, such as Figure 2 shown.

[0047] Furthermore, when the recognition model identifies key alarm devices, the system will highlight these units. The marking methods include using eye-catching colors, icons and animation effects to ensure that monitoring personnel can quickly locate them on the interface. These markings include not only the frequency of faults, but also the severity and type of faults. Different colors represent different alarm levels, which facilitates rapid screening and processing, improves monitoring efficiency, and ensures that the most critical alarm units can receive attention and response in the shortest time.

[0048] Furthermore, the system uses a wind turbine matrix to present the display page of key alarm units separately. That is, all power generation units are arranged in a grid on the same interface, presenting the alarm unit status in an intuitive and compact way. In this matrix, each cell represents a power generation unit, and its operating status and alarm status are displayed in real time.

[0049] S4: Push the alarm information to the monitoring personnel in a personalized manner.

[0050] It should be noted that after the alarm recognition model identifies the key alarm devices, the system distributes the graded alarm information to the corresponding monitoring personnel through an intelligent push strategy.

[0051] Furthermore, the system intelligently selects the push method and pushes it to the monitoring personnel according to the fault urgency that has been classified by the alarm recognition model. For emergency alarms, the system uses pop-up windows, sound alarms or text messages to immediately notify the monitoring personnel; for medium or low priority alarms, they are displayed through regular notifications or background records, and the monitoring personnel can view and handle them when they are free. In addition, the system also supports multi-platform push, ensuring that monitoring personnel can receive important alarm information in real time no matter where they are.

[0052] Furthermore, the system has the function of dynamically adjusting the push priority to adapt to the real-time changing alarm environment. In special periods when faults occur frequently, the system will dynamically adjust the priority of the alarm information. That is, it can adjust the priority of the low-priority unit in a short period of time and push it to the monitoring personnel in real time to ensure that the monitoring personnel can receive and deal with this potential problem in time. In addition, the system also supports manual intervention, supporting monitoring personnel to manually increase or decrease the priority of the alarm to adapt to changes in actual conditions.

[0053] When the alarm score is in the low value range, that is, the alarm score is <1, it means that the alarm frequency is low. At this time, the alarm information priority of the device is level 1, the device operation status is basically normal, and there are no obvious alarm signs. In this state, the monitoring system only needs to maintain routine monitoring and reduce the push of non-critical alarms to low-risk devices.

[0054] When the alarm score is in the median interval for the alarm frequency score, that is, 1≤alarm score<3, it means that the alarm frequency is medium and the device is in a slightly abnormal state. At this time, the alarm information priority of the device is level 2, and the alarm frequency has not reached the high-risk level. The system will push a reminder to the monitoring personnel to prompt the abnormal situation, further analyze the specific alarm characteristics, track whether there is an upward trend, and arrange the alarm device in a high-importance but non-urgent monitoring queue to ensure that the device can get a faster response when needed.

[0055] When the alarm score is in the high value range, that is, the alarm score is ≥3, it means that the device alarms frequently and there is a risk of serious failure. At this time, the device alarm information priority is level 3. The system marks the device as a frequent alarm device and immediately sends an emergency alarm push to the operation and maintenance team. The alarm information contains detailed alarm parameters, including the number of alarms, severity, and duration, to ensure that the operation and maintenance team can quickly grasp the situation and respond.

[0056] Example 3

[0057] As an embodiment of the present invention, the present invention provides the following technical solutions: a system for strengthening the monitoring of new energy fault power generation units by a centralized control center, comprising: a data acquisition module, an information identification module, an alarm information visualization module and an intelligent push module;

[0058] The data acquisition module establishes an algorithm for identifying power generation units with frequent alarms and collects characteristic parameters of frequent alarms;

[0059] The information recognition module establishes a recognition model according to the characteristic parameters;

[0060] The alarm information visualization module focuses on the alarm-frequent units according to the recognition model and visualizes the alarm information in the form of charts;

[0061] The intelligent push module pushes the alarm information to the monitoring personnel in a personalized manner.

[0062] This embodiment further provides a computing device, which is applicable to a method for strengthening the centralized control center's key monitoring method of a faulty renewable energy power generation unit, including:

[0063] Memory and processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement a system for strengthening the centralized control center's monitoring of new energy fault power generation units as proposed in the above embodiment.

[0064] The storage medium proposed in this embodiment and the method for strengthening the monitoring of faulty new energy power generation units by the centralized control center proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0065] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0066] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0067] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0068] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for strengthening the monitoring of faulty power generation units of new energy by a centralized control center, characterized in that: include: Establish an algorithm for identifying power generation units with frequent alarms and collect characteristic parameters of frequent alarms; Establishing a recognition model according to the characteristic parameters; Focusing on units with frequent alarms according to the recognition model, visualizing the alarm information in the form of charts; The alarm information is pushed to the monitoring personnel in a personalized manner.

2. A method for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center as claimed in claim 1, characterized in that: The establishment of the recognition algorithm for the power generation unit with frequent alarms includes extracting characteristic parameters of frequent alarms through analysis of historical alarm data, establishing a recognition model, and identifying the power generation unit with frequent alarms in real time.

3. A method for strengthening the monitoring of faulty power generation units of new energy by a centralized control center as claimed in claim 2, characterized in that: The identification of the power generation unit with frequent alarms includes highlighting it on the monitoring interface in different colors, icons or flashing to quickly locate the alarm device.

4. A method for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center as claimed in claim 3, characterized in that: The highlighting includes identifying power generation units with frequent alarms, highlighting key equipment in the power generation units on the monitoring interface, real-time monitoring and analysis of key equipment operating parameters, and alarming when abnormalities occur. The key equipment includes key generators and transformers.

5. A method for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center as claimed in claim 4, characterized in that: The real-time monitoring and analysis of the key equipment operating parameters includes displaying the key equipment operating parameters and alarm information in the form of charts, real-time monitoring of the key equipment operating parameters, and presenting the key equipment alarm information.

6. A method for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center as claimed in claim 5, characterized in that: The presenting of key equipment operating parameters and alarm information in the form of charts includes presenting the identified power generation units separately on the display interface in the form of a wind turbine matrix.

7. A method for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center as claimed in claim 6, characterized in that: The separately presenting display interface of the identified power generation unit in the form of a wind turbine matrix includes pushing personalized alarm information to monitoring personnel according to the display page to improve the timeliness of alarm processing.

8. A system for strengthening the monitoring of faulty renewable energy power generation units by a centralized control center according to any one of claims 1 to 7, characterized in that: include: Data collection module, information identification module, alarm information visualization module and intelligent push module; The data acquisition module establishes an algorithm for identifying power generation units with frequent alarms and collects characteristic parameters of frequent alarms; The information recognition module establishes a recognition model according to the characteristic parameters; The alarm information visualization module focuses on the alarm-frequent units according to the recognition model and visualizes the alarm information in the form of charts; The intelligent push module pushes the alarm information to the monitoring personnel in a personalized manner.

9. 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 a method for strengthening the monitoring of faulty new energy power generation units by a centralized control center as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of a method for strengthening the monitoring of faulty new energy power generation units by a centralized control center as described in any one of claims 1 to 7 are implemented.

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