Responsive power monitoring real-time calculation method

Abstract

The invention provides a response type electric power monitoring real-time calculation method, which comprises the following steps of: 1, data acquisition: acquiring various data by utilizing sensors distributed at key nodes of an electric power system; step 2, data preprocessing: carrying out data cleaning, filtering and normalization processing on the collected original data; step 3, data calculation: the data processing center carries out real-time calculation on the preprocessed data and calculates various parameters of the power system; step 4, state evaluation: according to the various parameters obtained by data processing, evaluating the operation state of the power system, setting a normal threshold range of the various parameters, and when the parameters obtained by calculation exceed the threshold range, judging that the power system has an abnormal condition; step 5, response processing: when an abnormal condition of the power system is found, the system automatically takes corresponding response processing measures; according to the method, various parameters of the power system can be calculated in real time, quickly and accurately, and abnormity can be found and processed in time.

Description

Technical Field

[0001] The present invention relates to the technical field of power monitoring, and in particular to a responsive power monitoring real-time calculation method. Background Art

[0002] With the continuous development and expansion of the power system, the number and complexity of power equipment have also increased dramatically; more and more electrical equipment have higher and higher requirements for the stability of the power system, and the safe and stable operation of the power system is crucial to the development of the national economy and the normal progress of life; some electrical equipment have put forward more requirements for the stability, controllability and safe operation of the power system, especially some high-precision equipment. To this end, people need to monitor and control the power system with higher requirements, but the current traditional power monitoring methods often cannot reflect the operating status of the power system in real time and accurately, and it is difficult to detect potential faults and safety hazards in time; At present, the power monitoring system mainly adopts the method of regular sampling and data analysis, which has a certain lag and cannot respond to the dynamic changes of the power system in time; At the same time, the traditional method has low computational efficiency when processing large amounts of complex power data, and it is difficult to meet the real-time requirements; For this reason, the applicant proposes a responsive power monitoring real-time calculation method based on the monitoring and control needs of the power system, which can quickly and accurately process power data, monitor the operating status of the power system in real time, and ensure the safe operation of the power system. Summary of the Invention

[0003] To solve the above technical problems, the present invention proposes a responsive real-time calculation method for power monitoring. The method can process power data quickly and accurately, monitor the operating status of the power system in real time, and ensure the safe operation of the power system through the following steps: Step 1: Data acquisition, using sensors distributed at key nodes of the power system to collect various data;

[0004] Step 2: Data preprocessing: cleaning, filtering and normalizing the collected raw data; Step 3: Data calculation: the data processing center performs real-time calculations on the preprocessed data to calculate various parameters of the power system;

[0005] Step 4: Status assessment. Based on the parameters obtained from data processing, the operating status of the power system is assessed and the normal threshold range of each parameter is set. When the calculated parameters exceed the threshold range, it is determined that an abnormality has occurred in the power system. Step 5: Response processing. When an abnormality is found in the power system, the system automatically takes corresponding response processing measures.

[0006] To achieve the above object, the technical solution adopted by the present invention is:

[0007] A responsive power monitoring real-time calculation method, characterized in that the responsive power monitoring real-time calculation method comprises the following steps:

[0008] Step 1: Data collection: Use sensors distributed at key nodes of the power system to collect various data of the power system;

[0009] Step 2: Data preprocessing: cleaning, filtering and normalizing the collected raw data;

[0010] Step 3: Data calculation: The data processing center performs real-time calculations on the pre-processed data to calculate various parameters of the power system;

[0011] Step 4: Status assessment: Based on the various parameters obtained from data processing, the operating status of the power system is assessed and the normal threshold range of each parameter is set. When the calculated parameters exceed the threshold range, it is determined that the power system is abnormal.

[0012] Step 5: Response processing: When an abnormal situation occurs in the power system, the system automatically takes corresponding response processing measures.

[0013] Furthermore, the data preprocessing in step 2 of the responsive power monitoring real-time calculation method is specifically as follows:

[0014] Data cleaning: remove noise, outliers and missing values from the collected data, and use statistical analysis methods based on the mean and standard deviation method to determine whether the data is an outlier. The process is to assume that the collected data sequence is x1, x2, ..., xn, and its mean is The standard deviation is like k is the set threshold, usually 3, then x i As an outlier, it is removed;

[0015] Filtering: Digital filtering algorithm is used. The digital filtering algorithm uses moving average filtering and Kalman filtering to smooth the data and remove the interference of high-frequency noise. The moving average filtering is to set the window size as m, then the i-th filtered data y i for

[0016] Normalization: Normalize the processed data so that its value range is between [0,1] for subsequent calculation and analysis; the normalization method is linear normalization, and the formula is:

[0017]

[0018] Where: x is the original data x min and x max are the minimum and maximum values in the data series, respectively.

[0019] Furthermore, in step 3 of the responsive power monitoring real-time calculation method, data calculation is performed on the pre-processed data in real time, and the power factor, harmonic content, and voltage deviation of the power system are calculated as follows:

[0020] Power Factor Calculation: Power Factor Where P is the active power and S is the apparent power; active power Apparent power Reactive power u i and i i are the voltage and current at the i-th sampling moment, θ i is the phase difference between voltage and current;

[0021] Harmonic content calculation: The fast Fourier transform algorithm is used to convert the voltage and current signals in the time domain into frequency domain signals, and the content of each harmonic is calculated. Assume that the discrete sampling sequence of the time domain signal x(t) is x(n), n = 0, 1, ..., N-1, then its discrete Fourier transform X(k) is hth harmonic content Where |X(h)| is the amplitude of the hth harmonic, and |X(1)| is the amplitude of the fundamental wave;

[0022] Voltage deviation calculation: The voltage deviation calculation formula is:

[0023]

[0024] Where: U is the actual measured voltage value;

[0025] U N is the rated voltage value.

[0026] Furthermore, the response processing in step 5 of the responsive power monitoring real-time calculation method is specifically as follows:

[0027] Alarm: timely notify relevant personnel through sound and light alarm, SMS alarm, etc.

[0028] Adjust the control strategy: Adjust the control strategy of the power system according to the type and severity of the abnormal situation; when the power factor is too low, automatically put the reactive power compensation device into operation to improve the power factor; when the voltage deviation is too large, adjust the transformer tap to restore the voltage to the normal range.

[0029] Furthermore, the responsive power monitoring real-time calculation method adopts a server cluster or cloud computing platform to achieve real-time calculation; uses Java or C++ programming language, combined with multi-threading and parallel computing technology, to improve calculation efficiency; and adopts a unique data acquisition and transmission system to protect the specific layout of sensors in the power system, data acquisition frequency setting rules, and communication protocol combinations and optimization methods used for data transmission, to prevent others from copying similar data acquisition architectures without authorization.

[0030] The benefits of this application are:

[0031] 1. The responsive power monitoring real-time calculation method can timely detect potential faults and safety hazards by real-time monitoring and accurate calculation of the operating parameters of the power system, take appropriate measures to deal with them, improve the safety and stability of the power system, and reduce the operating costs of the power system;

[0032] 2. The responsive power monitoring real-time calculation method uses advanced data preprocessing and real-time calculation algorithms to accurately calculate various parameters of the power system, improving monitoring accuracy. It has wide industrial applicability and can be applied to power systems of various sizes, including power plants, substations, and distribution systems of industrial enterprises.

[0033] 3. The responsive power monitoring real-time calculation method uses automated control and monitoring to effectively avoid human judgment errors and ensure the stable operation of the power system. When an abnormal situation occurs in the power system, corresponding treatment measures can be taken quickly to reduce the scope of the fault and reduce economic losses, which has significant economic and social benefits.

[0034] 4. The responsive power monitoring real-time calculation method is easy to use and has low maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Schematic diagram of the workflow of the present invention. DETAILED DESCRIPTION

[0036] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments:

[0037] like Figure 1 As shown, a responsive power monitoring real-time calculation method is shown, and the steps of the responsive power monitoring real-time calculation method are as follows:

[0038] Step 1: Data collection: Utilize sensors distributed at key nodes of the power system to collect various data from the power system. By utilizing a distributed sensor network, key nodes of the power system are covered to accurately collect core operating data such as voltage, current, and power. The focus is on the scientific nature of the sensor layout to ensure that it can fully reflect the status of the power system and the efficiency of the data transmission link. Industrial-grade communication protocols are used to ensure that data is stable and quickly transmitted back to the processing center.

[0039] Step 2: Data preprocessing: Clean, filter, and normalize the collected raw data. The data cleaning phase uses statistics of mean and standard deviation to construct an outlier determination model to remove noise and outliers. Filtering uses moving average filtering and Kalman filtering algorithms to smooth the data and reduce high-frequency interference. Normalization uses a linear normalization formula to unify the data into the [0,1] range, laying the foundation for subsequent calculations. Each step works together to improve data quality; specifically:

[0040] Data cleaning: remove noise, outliers and missing values from the collected data, and use statistical analysis methods based on the mean and standard deviation method to determine whether the data is an outlier. The process is to assume that the collected data sequence is x1, x2, ..., xn, and its mean is The standard deviation is like k is the set threshold, usually 3, then x i As an outlier, it is removed;

[0041] Filtering: Digital filtering algorithm is used. The digital filtering algorithm uses moving average filtering and Kalman filtering to smooth the data and remove the interference of high-frequency noise. The moving average filtering is to set the window size as m, then the i-th filtered data y i for

[0042] Normalization: Normalize the processed data so that its value range is between [0,1] for subsequent calculation and analysis; the normalization method is linear normalization, and the formula is:

[0043]

[0044] Where: x is the original data x min and x max are the minimum and maximum values in the data series respectively;

[0045] Step 3: Data Calculation: The data processing center performs real-time calculations on the pre-processed data, calculating various parameters of the power system. Using a multi-parameter real-time calculation algorithm, the power factor is calculated by correlating active power, reactive power, and apparent power with formulas, accurately evaluating voltage, current, and their phase difference. Harmonic content is calculated by converting time-domain signals into the frequency domain using fast Fourier transforms, quantifying the proportion of each harmonic. Voltage deviation is calculated based on the difference between actual and rated voltages. These algorithms are executed in parallel on a high-performance computing platform to ensure computational efficiency and accuracy. Specifically:

[0046] Power Factor Calculation: Power Factor Where P is the active power and S is the apparent power; active power Apparent power Reactive power u i and i i are the voltage and current at the i-th sampling moment, θ i is the phase difference between voltage and current;

[0047] Harmonic content calculation: The fast Fourier transform algorithm is used to convert the voltage and current signals in the time domain into frequency domain signals, and the content of each harmonic is calculated. Assume that the discrete sampling sequence of the time domain signal x(t) is x(n), n = 0, 1, ..., N-1, then its discrete Fourier transform X(k) is hth harmonic content Where |X(h)| is the amplitude of the hth harmonic, and |X(1)| is the amplitude of the fundamental wave;

[0048] Voltage deviation calculation: The voltage deviation calculation formula is:

[0049]

[0050] Where: U is the actual measured voltage value;

[0051] U N is the rated voltage value;

[0052] Step 4: Status assessment: Based on the various parameters obtained from data processing, the operating status of the power system is assessed and the normal threshold range of each parameter is set. When the calculated parameters exceed the threshold range, it is determined that the power system is abnormal. Specifically:

[0053] Based on the calculated parameters, the operating status of the power system is evaluated. Normal threshold ranges are set for each parameter. When the calculated parameters exceed the threshold ranges, the power system is judged to be abnormal. For example, when the power factor is lower than the set lower limit, it means that the reactive power of the power system is large, which may lead to increased power loss. When the harmonic content exceeds the specified standard, it will cause damage to power equipment.

[0054] Step 5: Response processing: When an abnormal situation occurs in the power system, the system automatically takes corresponding response processing measures; specifically:

[0055] Alarm: timely notify relevant personnel through sound and light alarm, SMS alarm, etc.

[0056] Adjust the control strategy: Adjust the control strategy of the power system according to the type and severity of the abnormal situation; when the power factor is too low, automatically put the reactive power compensation device into operation to improve the power factor; when the voltage deviation is too large, adjust the transformer tap to restore the voltage to the normal range.

[0057] The responsive power monitoring real-time calculation method shown adopts a server cluster or cloud computing platform to achieve real-time calculation; uses Java or C++ programming language, combined with multi-threading and parallel computing technology to improve calculation efficiency; and adopts a unique data acquisition and transmission system to protect the specific layout of sensors in the power system, the data acquisition frequency setting rules, and the communication protocol combination and optimization method used for data transmission, so as to prevent others from copying similar data acquisition architectures without authorization.

[0058] The responsive real-time calculation method for power monitoring presented here has broad industrial applicability and can be applied to power systems of all sizes, including power plants, substations, and distribution systems in industrial enterprises. By monitoring and accurately calculating power system operating parameters in real time, potential faults and safety hazards can be promptly identified and addressed, enabling appropriate measures to be taken. This improves the safety and stability of the power system and reduces its operating costs, resulting in significant economic and social benefits.

[0059] The above description is merely a preferred embodiment of the present invention and does not constitute any other form of limitation to the present invention. Any modification or equivalent variation based on the technical essence of the present invention shall still fall within the scope of protection claimed by the present invention.

Claims

1. A responsive real-time calculation method for power monitoring, characterized by: The steps of the responsive power monitoring real-time calculation method are as follows: Step 1: Data collection: Use sensors distributed at key nodes of the power system to collect various data of the power system; Step 2: Data preprocessing: cleaning, filtering and normalizing the collected raw data; Step 3: Data calculation: The data processing center performs real-time calculations on the pre-processed data to calculate various parameters of the power system; Step 4: Status assessment: Based on the various parameters obtained from data processing, the operating status of the power system is assessed and the normal threshold range of each parameter is set. When the calculated parameters exceed the threshold range, it is determined that the power system is abnormal. Step 5: Response processing: When an abnormal situation occurs in the power system, the system automatically takes corresponding response processing measures.

2. A responsive power monitoring real-time calculation method according to claim 1, characterized in that: The data preprocessing in step 2 of the responsive power monitoring real-time calculation method is specifically as follows: Data cleaning: remove noise, outliers and missing values from the collected data, and use statistical analysis methods based on the mean and standard deviation method to determine whether the data is an outlier. The process is to assume that the collected data sequence is x1, x2, ..., xn, and its mean is The standard deviation is like k is the set threshold, usually 3, then x i As an outlier, it is removed; Filtering: Digital filtering algorithm is used. The digital filtering algorithm adopts moving average filtering and Kalman filtering to smooth the data and remove the interference of high-frequency noise; Moving average filtering is to set the window size to m, then the i-th filtered data y i for Normalization: Normalize the processed data so that its value range is between [0,1] for subsequent calculation and analysis; the normalization method is linear normalization, and the formula is: Where: x is the original data x min and x max are the minimum and maximum values in the data series, respectively.

3. The responsive real-time calculation method for power monitoring according to claim 1, characterized in that: In step 3 of the responsive power monitoring real-time calculation method, data calculation is performed on the pre-processed data in real time to calculate the power factor, harmonic content, and voltage deviation of the power system. Specifically, Power Factor Calculation: Power Factor Where P is the active power and S is the apparent power; active power Apparent power Reactive power u i and i i are the voltage and current at the i-th sampling moment, θ i is the phase difference between voltage and current; Harmonic content calculation: The fast Fourier transform algorithm is used to convert the voltage and current signals in the time domain into frequency domain signals, and the content of each harmonic is calculated. Assume that the discrete sampling sequence of the time domain signal x(t) is x(n), n = 0, 1, ..., N-1, then its discrete Fourier transform X(k) is k=0,1,…,N-1.hth harmonic content Where |X(h)| is the amplitude of the hth harmonic, and |X(1)| is the amplitude of the fundamental wave; Voltage deviation calculation: The voltage deviation calculation formula is: Where: U is the actual measured voltage value; U N is the rated voltage value.

4. The responsive real-time calculation method for power monitoring according to claim 1, characterized in that: The response processing in step 5 of the responsive power monitoring real-time calculation method is specifically as follows: Alarm: timely notify relevant personnel through sound and light alarm, SMS alarm, etc. Adjust the control strategy: Adjust the control strategy of the power system according to the type and severity of the abnormal situation; when the power factor is too low, automatically put the reactive power compensation device into operation to improve the power factor; when the voltage deviation is too large, adjust the transformer tap to restore the voltage to the normal range.

5. The responsive real-time calculation method for power monitoring according to claim 1, characterized in that: The responsive power monitoring real-time calculation method adopts a server cluster or cloud computing platform to achieve real-time calculation; uses Java or C++ programming languages, combined with multi-threading and parallel computing technologies to improve calculation efficiency; and adopts a unique data acquisition and transmission system to protect the specific layout of sensors in the power system, data acquisition frequency setting rules, and the communication protocol combination and optimization method used for data transmission, thereby preventing others from copying similar data acquisition architectures without authorization.

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