Original data acquisition system of power grid characteristic signal classification and information fusion system
By designing the original data acquisition system for the grid characteristic signal classification and information fusion system, the problems of data acquisition complexity and analysis difficulty in the existing technology are solved, and more accurate grid status detection and control are achieved.
Patent Information
- Application Number
- CN202420506137.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-15
- Publication Date
- 2025-02-28
- Estimated Expiration
- 2034-03-15
AI Technical Summary
The existing power grid characteristic signal classification and information fusion system have information diversity, randomness, complexity and correlation hierarchy in the data acquisition process, resulting in differences between the collected data and the actual situation, increasing the difficulty of data analysis and reducing the accuracy of analysis.
A raw data acquisition system for the grid characteristic signal classification and information fusion system is designed, including voltage amplitude acquisition equipment, voltage flicker acquisition equipment, voltage rapid change acquisition equipment and voltage deviation acquisition equipment. The signal acquisition and processing are collected and processed through the sampling circuit board and the main controller, and the data is filtered using the Kalman filtering system. Finally, the analysis qualified information is input to the grid characteristic signal classification and information fusion system for information fusion.
Through this acquisition system, voltage information of power grid load can be collected and processed more accurately, and original data that is more in line with the actual situation can be generated, which improves the accuracy of power grid state detection and control.
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Abstract
Description
Technical Field
[0001] The utility model belongs to the technical field of power grid equipment, and in particular relates to a power grid characteristic signal classification and information fusion system original data acquisition system. Background Art
[0002] Due to the continuous expansion of the scale of power systems and the increasing number of power equipment, new problems have been raised for the safe and stable control of the system. At the same time, due to the uncertainty of the operation mode of the power system. As an existing power grid data collection analysis system, the power grid characteristic signal classification and information fusion system can detect and control the power grid status through the analysis of the power grid collected data, and provide accurate information or decision-making for the power system. In the existing power grid data collection process, the collected information is diverse, random, complex, and hierarchical. On the one hand, there is a certain difference between the collected data and the actual data of the power grid. On the other hand, it increases the difficulty of data analysis of the power grid characteristic signal classification and information fusion system, reduces the accuracy of analysis, and becomes a technical problem that needs to be solved urgently by technicians in the relevant technical field.
[0003] Therefore, the utility model provides a power grid characteristic signal classification and information fusion system raw data acquisition system to at least solve some of the above technical problems. Utility Model Content
[0004] The technical problem to be solved by the utility model is to provide a power grid characteristic signal classification and information fusion system original data acquisition system to at least solve part of the above technical problems.
[0005] In order to achieve the above purpose, the technical solution adopted by the utility model is as follows:
[0006] The original data acquisition system of the power grid characteristic signal classification and information fusion system includes a voltage amplitude acquisition device, a voltage flicker acquisition device, a voltage rapid change acquisition device and a voltage deviation acquisition device arranged at the power grid load, a sampling circuit board connected to the voltage amplitude acquisition device, the voltage flicker acquisition device, the voltage rapid change acquisition device and the voltage deviation acquisition device at the power grid load respectively, a main controller connected to the sampling circuit board, and a processor connected to the main controller; a Kalman filtering system is arranged between the main controller and the processor, and the processor is connected to the power grid characteristic signal classification and information fusion system.
[0007] Furthermore, the main controller is connected to a memory 1, a frequency calculation module, a harmonic calculation module and a three-phase imbalance calculation module.
[0008] Furthermore, the processor is connected to memory 2 and memory 3.
[0009] Furthermore, the processor is connected to a comparator.
[0010] Furthermore, the voltage amplitude acquisition device is an oscilloscope.
[0011] Furthermore, the sampling circuit board uses an LPC2378 processor.
[0012] Furthermore, the main controller uses a TMS320F2812 processor.
[0013] Furthermore, the processor is selected from STM32F103ZE processor
[0014] Furthermore, the sampling circuit board is connected to four A / D converters, and the voltage amplitude acquisition device, the voltage flicker acquisition device, the voltage rapid change acquisition device and the voltage deviation acquisition device are respectively connected to an A / D converter.
[0015] Compared with the prior art, the utility model has the following beneficial effects:
[0016] The utility model has a simple structure, a scientific and reasonable design, and is easy to use. It collects voltage amplitude information, voltage flicker information, voltage rapid change information, voltage deviation information, etc. of the power system grid load, and generates frequency information, harmonic information and three-phase imbalance information; the above information is then filtered and processed, and finally input into the power grid characteristic signal classification and information fusion system for information fusion, so as to provide the power grid characteristic signal classification and information fusion system with original data that is more in line with the actual situation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] Figure 1 This is a system connection block diagram of the utility model. DETAILED DESCRIPTION
[0018] In order to make the purpose, technical solution and advantages of the utility model more clear, the utility model is further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the utility model.
[0019] In the description of the present utility model, it should be noted that the terms "one", "two" and "three" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In the description of the present utility model, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; of course, it can also be a mechanical connection or an electrical connection; in addition, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be a connection between the two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present utility model can be understood according to the specific circumstances.
[0020] like Figure 1 As shown, the original data acquisition system of the power grid characteristic signal classification and information fusion system provided by the utility model includes a voltage amplitude acquisition device, a voltage flicker acquisition device, a voltage rapid change acquisition device and a voltage deviation acquisition device arranged at the power grid load, a sampling circuit board connected to the voltage amplitude acquisition device, the voltage flicker acquisition device, the voltage rapid change acquisition device and the voltage deviation acquisition device at the power grid load respectively, a main controller connected to the sampling circuit board, and a processor connected to the main controller; a Kalman filtering system is arranged between the main controller and the processor, and the processor is connected to the power grid characteristic signal classification and information fusion system. The utility model adopts voltage amplitude acquisition equipment, voltage flicker acquisition equipment, voltage rapid change acquisition equipment and voltage deviation acquisition equipment to respectively originally acquire voltage amplitude information, voltage flicker information, voltage rapid change information and voltage deviation information of the power system grid load, and then inputs them into the main controller for processing to generate frequency information, harmonic information and three-phase imbalance information, and then filters the original acquired information and the processed generated information through the Kalman filter system, and finally further processes and analyzes them through the processor, and inputs the qualified analyzed information into the grid characteristic signal classification and information fusion system for information fusion, so as to provide the grid characteristic signal classification and information fusion system with original data that is more in line with the actual situation of the grid.
[0021] The voltage amplitude is the maximum absolute value of the alternating current that occurs instantaneously in one cycle, and is also a sine wave, half the distance from the peak to the trough. Preferably, the voltage amplitude acquisition device uses an oscilloscope. The voltage flicker is different from the common voltage fluctuation. Voltage flicker refers to a rapid rise and fall in voltage shape, while fluctuation refers to the rapid or continuous change of the effective value of the voltage at a frequency lower than the power frequency. The characteristics of flicker are ultra-high voltage, transient state and high frequency. If intuitively understood from the waveform, voltage fluctuation can cause waveform distortion, asymmetry, changes in adjacent peaks, etc., but the waveform curve is smooth and continuous, while flicker mainly causes waveform glitches and interruptions. The rapid voltage change is also voltage fluctuation, which refers to the rapid change of the effective value (root mean square value) of the grid voltage. The voltage fluctuation value is expressed as the percentage of the difference between the maximum and minimum root mean square values of the voltage adjacent to the user's public power supply point in time to the rated voltage of the grid; the frequency of voltage fluctuation is expressed as the number of voltage fluctuations (changes) per unit time. The voltage deviation is mainly caused by the imbalance between the reactive power required by the load and the reactive power provided by the system, which causes the supply voltage to gradually deviate from the nominal voltage. The voltage deviation is usually expressed as a percentage of the difference between the voltage measurement value and the system nominal voltage, that is, voltage deviation = 100% × (voltage measurement value - nominal voltage) / nominal voltage.
[0022] The grid characteristic signal classification and information fusion system is any existing system that has the function of fusing grid signals or information, and processes the qualified information analyzed by the present invention to achieve more accurate detection and control of the grid state. The grid characteristic signal classification and information fusion system is preferably a system in CN116089897A, a method and system for evaluating the operating status of electric power equipment based on multi-source information fusion.
[0023] In some embodiments, the main controller is connected to a memory 1, a frequency calculation module, a harmonic calculation module, and a three-phase unbalance calculation module. The originally collected voltage amplitude information, voltage flicker information, and voltage rapid change information are converted into frequency information, harmonic information, and three-phase unbalance information through the frequency calculation module, harmonic calculation module, and three-phase unbalance calculation module of the main controller, and the voltage amplitude information, voltage flicker information, voltage rapid change information, frequency information, harmonic information, and three-phase unbalance information are stored in the memory 1.
[0024] In some embodiments, the processor is connected to memory 2 and memory 3. Voltage amplitude information, voltage flicker information, voltage rapid change information, voltage deviation information, frequency information, harmonic information and three-phase unbalance information are input into the processor after filtering by the Kalman filter system, and the processor stores the filtered voltage amplitude information, voltage flicker information, voltage rapid change information, voltage deviation information, frequency information, harmonic information and three-phase unbalance information into memory 2. And the main controller transmits the original voltage amplitude information, voltage flicker information, voltage rapid change information, voltage deviation information, frequency information, harmonic information and three-phase unbalance information to the processor, and the processor stores the above original information into memory 3.
[0025] In some embodiments, the processor is connected to a comparator. The comparator retrieves and compares the information stored in the memory 2 and the memory 3 in real time to determine the filtering effect of the Kalman filter system. If it is within the error range, the data information stored in the memory 2 is transmitted to the power grid characteristic signal classification and information fusion system for further fusion processing.
[0026] In some embodiments, the voltage amplitude acquisition device is an oscilloscope. The oscilloscope uses a narrow electron beam composed of high-speed electrons to hit a screen coated with fluorescent material to generate tiny light spots, thereby observing the waveform curves of various signal amplitudes changing over time and testing various electrical quantities, such as voltage, current, frequency, phase difference, amplitude modulation, etc.
[0027] In some embodiments, the sampling circuit board uses the LPC2378 processor. LPC2378 is a general-purpose DMA controller with up to 512kB on-chip Flash and 58kB SRAM; 10 / 100M Ethernet MAC interface with DMA; connected to PHY chip DM9161, and connected to rj45 through isolation transformer YL18-2050S; USB 2.0 full-speed device interface with PHY and DMA; with two CAN 2.0B channels; with I2S, 3 I2C, 3 SPI / SSP and 4 UARTs; its accuracy can be adjusted to 1%.
[0028] In some embodiments, the main controller uses a TMS320F2812 processor. The TMS320F2812 processor has a main frequency of up to 150MHz; it has bus interfaces such as I2C, SPI, CAN, PWM, etc., and is suitable for various control industrial equipment; it has small size, strong performance, high portability, and is suitable for a variety of handheld devices; it complies with high and low temperature and vibration tests, and meets industrial environment applications.
[0029] In some embodiments, the processor is selected from the STM32F103ZE processor. The STM32F103ZE processor has an operating frequency of 72MHz, integrates USB, CAN, SD card interface, TFT-LCD, RS232 serial port, four 26-pin user expansion interfaces, 512KB flash memory and 64KB SRAM, etc., and is suitable for motor drive, industrial control, medical handheld devices, PC and game console peripherals, GPS platform, PLC, inverter, printer, scanner, alarm system and HVAC, and is particularly suitable for the system described in the utility model.
[0030] In some embodiments, the sampling circuit board is connected to four A / D converters, and the voltage amplitude acquisition device, the voltage flicker acquisition device, the voltage rapid change acquisition device, and the voltage deviation acquisition device are respectively connected to an A / D converter. The A / D converter is a circuit that converts an analog signal into a digital signal, also known as an analog-to-digital converter. Since the signals collected by the voltage amplitude acquisition device, the voltage flicker acquisition device, the voltage rapid change acquisition device, and the voltage deviation acquisition device are all voltage signals, the voltage signals are converted into corresponding digital signals through the A / D converter and then transmitted to the main controller, so that they can be recognized, stored or processed by the main controller.
[0031] The voltage flicker acquisition device, voltage rapid change acquisition device, voltage deviation acquisition device, Kalman filter system, memory one, frequency calculation module, harmonic calculation module, three-phase imbalance calculation module, memory two, memory three, comparator and A / D converter used in the utility model are all existing known electrical equipment and can be directly purchased and used on the market. Their structures, circuits, and control principles are all existing known technologies. Therefore, the structures, circuits, and control principles of the electrical equipment are not described in detail here.
[0032] Finally, it should be noted that the above embodiments are only preferred embodiments of the present invention to illustrate the technical solution of the present invention, rather than limiting it, and certainly not limiting the patent scope of the present invention; although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention; that is to say, any changes or embellishments made to the main design concept and spirit of the present invention that have no substantive significance, and the technical problems they solve are still consistent with the present invention, should be included in the protection scope of the present invention; in addition, the direct or indirect application of the technical solution of the present invention in other related technical fields is also included in the patent protection scope of the present invention.
Claims
1. The original data acquisition system of the power grid characteristic signal classification and information fusion system is characterized by: It includes a voltage amplitude acquisition device, a voltage flicker acquisition device, a voltage rapid change acquisition device and a voltage deviation acquisition device arranged at the load of the power grid, a sampling circuit board connected to the voltage amplitude acquisition device, the voltage flicker acquisition device, the voltage rapid change acquisition device and the voltage deviation acquisition device at the load of the power grid respectively, a main controller connected to the sampling circuit board, and a processor connected to the main controller; a Kalman filtering system is arranged between the main controller and the processor, and the processor is connected to a power grid characteristic signal classification and information fusion system; The main controller is connected to a memory 1, a frequency calculation module, a harmonic calculation module and a three-phase imbalance calculation module.
2. The original data acquisition system for power grid characteristic signal classification and information fusion system according to claim 1 is characterized in that: The processor is connected to memory 2 and memory 3.
3. The original data acquisition system for power grid characteristic signal classification and information fusion system according to claim 1 is characterized in that: The processor is connected to a comparator.
4. The original data acquisition system for power grid characteristic signal classification and information fusion system according to claim 1 is characterized in that: The voltage amplitude acquisition device is an oscilloscope.
5. The original data acquisition system for power grid characteristic signal classification and information fusion system according to claim 1 is characterized in that: The sampling circuit board uses the LPC2378 processor.
6. The original data acquisition system for power grid characteristic signal classification and information fusion system according to claim 1 is characterized in that: The main controller uses a TMS320F2812 processor.
7. The original data acquisition system for power grid characteristic signal classification and information fusion system according to claim 1 is characterized in that: The processor is STM32F103ZE processor.
8. The original data acquisition system for power grid characteristic signal classification and information fusion system according to claim 1 is characterized in that: The sampling circuit board is connected to four A / D converters, and the voltage amplitude acquisition device, the voltage flicker acquisition device, the voltage rapid change acquisition device and the voltage deviation acquisition device are respectively connected to an A / D converter.
Citation Information
Patent Citations
Power equipment operation state evaluation method and system based on multi-source information fusion
CN116089897A