New energy station electric energy quality real-time monitoring and analysis system
By designing a real-time monitoring and analysis system for power quality in new energy stations, the problem that the existing system cannot effectively evaluate the power quality of new energy electric field is solved, real-time and comprehensive monitoring and analysis of the power quality of new energy electric field stations is achieved, and the safe and stable operation of the power grid is ensured.
Patent Information
- Application Number
- CN202510145670.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-10
- Publication Date
- 2025-04-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing power quality monitoring system cannot effectively evaluate and monitor the power quality of new energy electric fields, and cannot meet the higher requirements for power quality when new energy is connected to the power grid.
A real-time monitoring and analysis system for power quality of new energy stations is designed, including data acquisition module, data management module, quality analysis module and alarm feedback module. Through technical means such as sensing detection, digital conversion, classified storage, timing encoding and comprehensive quality evaluation, comprehensive quality evaluation, comprehensive and real-time monitoring and analysis of the power quality of new energy stations is achieved.
Real-time and comprehensive monitoring and analysis of the power quality of new energy stations is achieved, abnormalities can be discovered in a timely manner, ensure the safe and stable operation of the power grid, and improve the management and evaluation capabilities of power quality.
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Figure CN119853296A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of electric digital data processing, and in particular to a real-time monitoring and analysis system for power quality of a new energy station. Background Art
[0002] With the rapid development of new energy, the widespread application of clean energy such as wind energy and solar energy has significantly improved the green level of the power system. However, due to the randomness, intermittency and volatility of new energy power generation, its access to the power grid has put forward higher requirements on the power quality of the grid. For example, the output power of wind farms is easily affected by changes in wind speed, resulting in voltage fluctuations or frequency offsets; photovoltaic power stations may cause unstable output power when the weather is cloudy or cloudy or blocked by clouds. In addition, new energy stations are usually equipped with a large number of power electronic devices. The nonlinear characteristics of these devices will introduce problems such as harmonics, voltage distortion and reactive power, which have a great impact on the power quality.
[0003] The foregoing discussion of the background art is intended only to facilitate an understanding of the present invention. This discussion does not acknowledge or admit that any of the material referred to is part of the common general knowledge.
[0004] Now many power quality monitoring systems have been developed. After a lot of searching and reference, it is found that the existing monitoring systems are such as the system disclosed in the publication number CN105356620B. These systems generally include power quality monitoring terminals, monitoring center main stations and workstations. The monitoring center main station and the power quality monitoring terminal are respectively connected to the power quality monitoring management application system through network cables. The present invention is a system network that can establish a unified and open power quality monitoring management application system that complies with the construction specifications of the power grid system to construct power quality monitoring, evaluation, hazard analysis and management measures for the power grid. By analyzing and strengthening the supervision and management of the power quality of the power grid, the safe and stable operation of the power grid can be guaranteed. However, this system is only applicable to conventional electric fields and cannot effectively evaluate and monitor the power quality of new energy electric fields. Summary of the invention
[0005] The purpose of the present invention is to propose a real-time monitoring and analysis system for power quality of new energy stations in response to the existing deficiencies.
[0006] The present invention adopts the following technical solution:
[0007] A real-time monitoring and analysis system for power quality of a new energy station, comprising a data acquisition module, a data management module, a quality analysis module and an alarm feedback module;
[0008] The data acquisition module is used to collect power generation data of the new energy power station, the data management module is used to organize and process the collected data, the quality analysis module is used to analyze the real-time power quality, and the alarm feedback module performs feedback processing based on the power quality;
[0009] The data acquisition module includes a sensing unit, a digital conversion unit and an information transmission unit, wherein the sensing unit is used to collect electric energy information, the digital conversion unit is used to convert the collected analog information into digital information, and the information transmission unit is used to transmit the digital information to the data management module;
[0010] The data management module includes a classification storage unit, a timing control unit and an analysis source output unit. The classification storage unit stores the collected data information according to the type. The timing control unit is used to encode and manage the timing information of the stored data. The analysis source output unit is used to package the data of the same timing into an analysis package and send it to the quality analysis module.
[0011] The quality analysis module includes a project information storage unit, a project data calculation unit and a quality comprehensive processing unit. The project information storage unit is used to store the content information of each analysis project. The project data calculation unit calculates and processes the data in the analysis package based on the project content. The quality comprehensive processing unit is used to perform comprehensive quality evaluation on the analysis results of all analysis projects.
[0012] The alarm feedback module includes a quality display unit, an alarm judgment unit and a feedback processing unit. The quality display unit is used to display quality evaluation information, the alarm judgment unit is used to judge whether to issue an alarm, and the feedback processing unit is used to perform subsequent processing when an alarm occurs.
[0013] Furthermore, the project information storage unit includes a project definition register, a parameter configuration register and an exception rule register, the project definition register is used to store definition information of each project, the parameter configuration register is used to store parameter information of each project, and the exception rule register is used to store exception judgment rules for each project.
[0014] Furthermore, the project data calculation unit includes a data packet parsing processor, a project generation processor and a project execution processor. The data packet parsing processor is used to receive and parse the analysis source data packet, the project generation processor generates a project execution program based on the content in the project information storage unit, and the project execution processor is used to obtain corresponding data in the analysis source data packet and run the project execution program.
[0015] Furthermore, the quality comprehensive processing unit includes a project judgment processor, a weight analysis processor and a comprehensive calculation processor. The project judgment processor is used to judge whether the operation result of each project is abnormal, the weight analysis processor is used to parse and obtain the weight data of each project, and the comprehensive calculation processor is used to calculate the comprehensive quality of the electric energy.
[0016] Furthermore, the process of obtaining weight information by parsing the weight parsing processor includes the following steps:
[0017] S1. Count the abnormalities of each project;
[0018] S2. Obtain historical data of abnormal items and calculate the abnormal probability;
[0019] S3. Sort the abnormal items from large to small according to the abnormal probability;
[0020] S4. Calculate the adjustment index R of the abnormal item according to the following formula:
[0021] R = (1-P(i)) lg(10+i);
[0022] Where i is the ranking number of the abnormal item, and P(i) is the abnormal probability of the i-th abnormal item;
[0023] S5. Calculate the weight coefficient k(j) of each item according to the following formula:
[0024]
[0025] Where R(j) represents the adjustment index of the jth item, and m is the number of items;
[0026] In particular, normal items have an adjustment index of 1.
[0027] The beneficial effects achieved by the present invention are:
[0028] This system integrates data collection, management, analysis and alarm feedback functions to achieve comprehensive and real-time monitoring and analysis of the power quality of new energy stations, and has the following advantages:
[0029] Strong real-time performance: Through high-precision sensor detection units and digital conversion units, the system can quickly collect and process the power data of new energy stations, reflect the changes in power quality in real time, and ensure timely detection of abnormalities.
[0030] Efficient data management: The combination of the classification storage unit and the timing control unit enables the system to efficiently classify and encode large amounts of data, provide clear timing data support for the analysis module, and improve data query and retrieval efficiency.
[0031] Accurate quality analysis: The quality analysis module can comprehensively analyze various indicators of power quality (such as voltage fluctuation, harmonic distortion, power factor, etc.) through multi-item calculation and comprehensive evaluation, thereby improving the accuracy and scientificity of the analysis.
[0032] To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and description and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 It is a schematic diagram of the overall structural framework of the present invention;
[0034] Figure 2 This is a schematic diagram of the data acquisition module of the present invention;
[0035] Figure 3 This is a schematic diagram of the data management module of the present invention;
[0036] Figure 4 This is a schematic diagram of the quality analysis module of the present invention;
[0037] Figure 5 This is a schematic diagram of the alarm feedback module of the present invention. DETAILED DESCRIPTION
[0038] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual sizes. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.
[0039] Embodiment 1.
[0040] This embodiment provides a new energy station power quality real-time monitoring and analysis system, combined with Figure 1 , including data acquisition module, data management module, quality analysis module and alarm feedback module;
[0041] The data acquisition module is used to collect power generation data of the new energy power station, the data management module is used to organize and process the collected data, the quality analysis module is used to analyze the real-time power quality, and the alarm feedback module performs feedback processing based on the power quality;
[0042] The data acquisition module includes a sensing unit, a digital conversion unit and an information transmission unit, wherein the sensing unit is used to collect electric energy information, the digital conversion unit is used to convert the collected analog information into digital information, and the information transmission unit is used to transmit the digital information to the data management module;
[0043] The data management module includes a classification storage unit, a timing control unit and an analysis source output unit. The classification storage unit stores the collected data information according to the type. The timing control unit is used to encode and manage the timing information of the stored data. The analysis source output unit is used to package the data of the same timing into an analysis package and send it to the quality analysis module.
[0044] The quality analysis module includes a project information storage unit, a project data calculation unit and a quality comprehensive processing unit. The project information storage unit is used to store the content information of each analysis project. The project data calculation unit calculates and processes the data in the analysis package based on the project content. The quality comprehensive processing unit is used to perform comprehensive quality evaluation on the analysis results of all analysis projects.
[0045] The alarm feedback module includes a quality display unit, an alarm judgment unit and a feedback processing unit. The quality display unit is used to display quality evaluation information, the alarm judgment unit is used to judge whether to issue an alarm, and the feedback processing unit is used to perform subsequent processing when an alarm occurs.
[0046] The project information storage unit includes a project definition register, a parameter configuration register and an exception rule register. The project definition register is used to store the definition information of each project, the parameter configuration register is used to store the parameter information of each project, and the exception rule register is used to store the exception judgment rule of each project.
[0047] The project data calculation unit includes a data packet parsing processor, a project generation processor and a project execution processor. The data packet parsing processor is used to receive and parse the analysis source data packet. The project generation processor generates a project execution program based on the content in the project information storage unit. The project execution processor is used to obtain the corresponding data in the analysis source data packet and run the project execution program.
[0048] The quality comprehensive processing unit includes a project judgment processor, a weight analysis processor and a comprehensive calculation processor. The project judgment processor is used to judge whether the operation result of each project is abnormal, the weight analysis processor is used to parse and obtain the weight data of each project, and the comprehensive calculation processor is used to calculate the comprehensive quality of electric energy.
[0049] The process of obtaining weight information by parsing the weight parsing processor comprises the following steps:
[0050] S1. Count the abnormalities of each project;
[0051] S2. Obtain historical data of abnormal items and calculate the abnormal probability;
[0052] S3. Sort the abnormal items from large to small according to the abnormal probability;
[0053] S4. Calculate the adjustment index R of the abnormal item according to the following formula:
[0054] R = (1-P(i)) lg(10+i);
[0055] Where i is the ranking number of the abnormal item, and P(i) is the abnormal probability of the i-th abnormal item;
[0056] S5. Calculate the weight coefficient k(j) of each item according to the following formula:
[0057]
[0058] Where R(j) represents the adjustment index of the jth item, and m is the number of items;
[0059] In particular, normal items have an adjustment index of 1.
[0060] Embodiment 2.
[0061] This embodiment includes all the contents of the first embodiment, and provides a new energy station power quality real-time monitoring and analysis system, including a data acquisition module, a data management module, a quality analysis module and an alarm feedback module;
[0062] The data acquisition module is used to collect power generation data of the new energy power station, the data management module is used to organize and process the collected data, the quality analysis module is used to analyze the real-time power quality, and the alarm feedback module performs feedback processing based on the power quality;
[0063] Combination Figure 2 , the data acquisition module includes a sensing detection unit, a digital conversion unit and an information transmission unit, the sensing detection unit is used to collect electric energy information, the digital conversion unit is used to convert the collected analog information into digital information, and the information transmission unit is used to transmit the digital information to the data management module;
[0064] Combination Figure 3, the data management module includes a classification storage unit, a timing control unit and an analysis source output unit, the classification storage unit stores the collected data information according to the type, the timing control unit is used to encode and manage the timing information of the stored data, and the analysis source output unit is used to package the data of the same timing into an analysis package and send it to the quality analysis module;
[0065] Combination Figure 4 The quality analysis module includes a project information storage unit, a project data calculation unit and a quality comprehensive processing unit. The project information storage unit is used to store the content information of each analysis project. The project data calculation unit calculates and processes the data in the analysis package based on the project content. The quality comprehensive processing unit is used to perform a comprehensive quality assessment on the analysis results of all analysis projects.
[0066] Combination Figure 5 The alarm feedback module includes a quality display unit, an alarm judgment unit and a feedback processing unit, wherein the quality display unit is used to display quality evaluation information, the alarm judgment unit is used to judge whether to issue an alarm, and the feedback processing unit is used to perform subsequent processing when an alarm is issued;
[0067] The sensing detection unit includes a voltage detection processor, a filtering processor and a safety protection processor, wherein the voltage detection processor is used to detect voltage information of electric energy, the filtering processor is used to filter the detected voltage information, and the safety protection processor is used to protect the voltage detection processor;
[0068] The digital conversion unit includes an analog-to-digital conversion processor, a data extraction processor and a data editing processor, wherein the analog-to-digital conversion processor is used to convert an analog signal into a digital signal, the data extraction processor is used to extract feature information from the digital signal, and the data editing processor is used to edit the feature information;
[0069] The information transmission unit includes a data verification processor and a directional transmission processor, wherein the data verification processor is used to verify whether the format of the characteristic information is correct, and the directional transmission processor is used to directional transmit the characteristic information to the data management module;
[0070] The classification storage unit includes a feature information register, a type identification processor and a region mapping processor, wherein the feature information register is used to set multiple regions to store feature information, the type identification processor is used to receive and identify the type of feature information, and the region mapping processor is mapped to the corresponding storage region based on the type;
[0071] The timing control unit includes a timing processor, an encoding processor and a control processor, wherein the timing processor is used to generate clock information, the encoding processor is used to perform timing encoding on the feature information, and the control processor is used to control the resetting process of the timing processor;
[0072] The analysis source output unit includes a code management processor, a data retrieval processor and a packaging processor, wherein the code management processor is used to manage the timing codes that need to be packaged, the data retrieval processor is used to retrieve the characteristic information corresponding to the timing codes from the characteristic information register, and the packaging processor is used to package the retrieved characteristic information into an analysis source data packet;
[0073] The project information storage unit includes a project definition register, a parameter configuration register and an exception rule register, wherein the project definition register is used to store the definition information of each project, the parameter configuration register is used to store the parameter information of each project, and the exception rule register is used to store the exception judgment rule of each project;
[0074] The project data calculation unit includes a data packet parsing processor, a project generation processor and a project execution processor, wherein the data packet parsing processor is used to receive and parse the analysis source data packet, the project generation processor generates a project execution program based on the content in the project information storage unit, and the project execution processor is used to obtain the corresponding data in the analysis source data packet and run the project execution program;
[0075] The quality comprehensive processing unit includes a project judgment processor, a weight analysis processor and a comprehensive calculation processor, wherein the project judgment processor is used to judge whether the operation result of each project is abnormal, the weight analysis processor is used to parse and obtain the weight data of each project, and the comprehensive calculation processor is used to calculate the comprehensive quality of electric energy;
[0076] The quality display unit includes a quality data receiving processor, a graphic display processor and a dynamic update processor, wherein the quality data receiving processor is used to receive real-time comprehensive quality data, the graphic display processor is used to convert the quality data into image content and display it, and the dynamic update processor dynamically updates the displayed content based on time;
[0077] The alarm judgment unit includes a judgment window processor and a judgment output processor, wherein the judgment window processor uses a window to obtain quality information within a period of time, and the judgment output processor is used to perform alarm judgment on the quality information within the window;
[0078] The feedback processing unit includes a feedback activation processor and a response measure processor, wherein the feedback activation processor activates the corresponding response measure based on the alarm content, and the response measure processor is used to execute the corresponding response measure content;
[0079] The process of obtaining weight information by parsing the weight parsing processor comprises the following steps:
[0080] S1. Count the abnormalities of each project;
[0081] S2. Obtain historical data of abnormal items and calculate the abnormal probability;
[0082] S3. Sort the abnormal items from large to small according to the abnormal probability;
[0083] S4. Calculate the adjustment index R of the abnormal item according to the following formula:
[0084] R = (1-P(i)) lg(10+i);
[0085] Where i is the ranking number of the abnormal item, and P(i) is the abnormal probability of the i-th abnormal item;
[0086] S5. Calculate the weight coefficient k(j) of each item according to the following formula:
[0087]
[0088] Where R(j) represents the adjustment index of the jth item, and m is the number of items;
[0089] In particular, the adjustment index for normal items is 1;
[0090] The comprehensive calculation processor calculates the comprehensive evaluation value Q of electric energy according to the following formula:
[0091]
[0092] Where F(j) represents the project calculation value of the jth project;
[0093] Some code information of this system is as follows:
[0094]
[0095]
[0096]
[0097]
[0098]
[0099] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention specification and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.
Claims
1. A real-time monitoring and analysis system for power quality of new energy stations, characterized in that: It includes data acquisition module, data management module, quality analysis module and alarm feedback module; The data acquisition module is used to collect power generation data of the new energy power station, the data management module is used to organize and process the collected data, the quality analysis module is used to analyze the real-time power quality, and the alarm feedback module performs feedback processing based on the power quality; The data acquisition module includes a sensing unit, a digital conversion unit and an information transmission unit, wherein the sensing unit is used to collect electric energy information, the digital conversion unit is used to convert the collected analog information into digital information, and the information transmission unit is used to transmit the digital information to the data management module; The data management module includes a classification storage unit, a timing control unit and an analysis source output unit. The classification storage unit stores the collected data information according to the type. The timing control unit is used to encode and manage the timing information of the stored data. The analysis source output unit is used to package the data of the same timing into an analysis package and send it to the quality analysis module. The quality analysis module includes a project information storage unit, a project data calculation unit and a quality comprehensive processing unit. The project information storage unit is used to store the content information of each analysis project. The project data calculation unit calculates and processes the data in the analysis package based on the project content. The quality comprehensive processing unit is used to perform comprehensive quality evaluation on the analysis results of all analysis projects. The alarm feedback module includes a quality display unit, an alarm judgment unit and a feedback processing unit. The quality display unit is used to display quality evaluation information, the alarm judgment unit is used to judge whether to issue an alarm, and the feedback processing unit is used to perform subsequent processing when an alarm occurs.
2. A new energy station power quality real-time monitoring and analysis system as claimed in claim 1, characterized in that: The project information storage unit includes a project definition register, a parameter configuration register and an exception rule register. The project definition register is used to store the definition information of each project, the parameter configuration register is used to store the parameter information of each project, and the exception rule register is used to store the exception judgment rule of each project.
3. A new energy station power quality real-time monitoring and analysis system as claimed in claim 2, characterized in that: The project data calculation unit includes a data packet parsing processor, a project generation processor and a project execution processor. The data packet parsing processor is used to receive and parse the analysis source data packet. The project generation processor generates a project execution program based on the content in the project information storage unit. The project execution processor is used to obtain the corresponding data in the analysis source data packet and run the project execution program.
4. A new energy station power quality real-time monitoring and analysis system as claimed in claim 3, characterized in that: The quality comprehensive processing unit includes a project judgment processor, a weight analysis processor and a comprehensive calculation processor. The project judgment processor is used to judge whether the operation result of each project is abnormal, the weight analysis processor is used to parse and obtain the weight data of each project, and the comprehensive calculation processor is used to calculate the comprehensive quality of electric energy.
5. A new energy station power quality real-time monitoring and analysis system as claimed in claim 4, characterized in that: The process of obtaining weight information by parsing the weight parsing processor comprises the following steps: S1. Count the abnormalities of each project; S2. Obtain historical data of abnormal items and calculate the abnormal probability; S3. Sort the abnormal items from large to small according to the abnormal probability; S4. Calculate the adjustment index R of the abnormal item according to the following formula: R = (1-P(i)) lg(10+i); Where i is the ranking number of the abnormal item, and P(i) is the abnormal probability of the i-th abnormal item; S5. Calculate the weight coefficient k(j) of each item according to the following formula: Where R(j) represents the adjustment index of the jth item, and m is the number of items; In particular, normal items have an adjustment index of 1.
Citation Information
Patent Citations
Power quality monitoring system
CN105356620B