A power system state assessment method based on multi-class analysis

Abstract

This invention provides a power system state assessment method based on multi-category analysis, comprising the following steps: (1) collecting current and voltage signals of each transmission and distribution unit of the power system within a sampling period T; (2) storing the collected signals; (3) classifying the collected current and voltage signals; (4) calculating the degree of deviation of the current and voltage signals from reference data; (5) calculating the average value of the degree of deviation of the current and voltage signals from the reference data; and (6) assessing the power system state based on the average value of the degree of deviation from the reference data. This invention provides a power system state assessment method based on multi-category analysis, which can assess the power system state more quickly and accurately.

Description

Technical Field

[0001] This invention belongs to the field of power detection technology, and specifically relates to a power system state assessment method based on multi-category analysis. Background Technology

[0002] With the continuous development of information technology and intelligence in the power system, the scale of IoT data related to the power system is also growing. At the same time, the processing needs of various power business data are becoming increasingly diversified. This increases the workload and speed of data processing and analysis, making it impossible to assess the status of the power system more quickly and accurately.

[0003] To assess the state of power systems more quickly and accurately, this invention proposes a power system state assessment method based on multi-category analysis. First, the collected current and voltage signals are classified. Then, the degree of deviation from the reference data and the average value are calculated. Finally, the power system state is assessed and classified based on the average value of the degree of deviation from the reference data. Summary of the Invention

[0004] This invention provides a power system state assessment method based on multi-category analysis, which can assess the power system state more quickly and accurately.

[0005] This invention specifically relates to a power system state assessment method based on multi-category analysis, the power system state assessment method comprising the following steps:

[0006] Step (1): Collect the current and voltage signals of each transmission and distribution unit of the power system within a sampling period T;

[0007] Step (2): Store the collected signals;

[0008] Step (3): Classify the collected current signal and voltage signal;

[0009] Step (4): Calculate the degree to which the current signal and the voltage signal deviate from the reference data;

[0010] Step (5): Calculate the average value of the degree to which the current signal and the voltage signal deviate from the reference data;

[0011] Step (6): Assess the state of the power system based on the average degree of deviation from the reference data.

[0012] The specific method for classifying the acquired current signals is as follows:

[0013] First, determine whether the current signal is within the first current reference range. If it is, the current signal is normal and stored as a normal current signal. If not, further classification and judgment are performed.

[0014] Next, it is determined whether the current signal is within the second current reference range. If it is, the current signal is abnormal and is stored as an abnormal current signal. If not, the current signal is a fault current and is stored as a fault current signal.

[0015] The specific method for classifying the acquired voltage signals is as follows:

[0016] First, determine whether the voltage signal is within the first voltage reference range. If it is, the voltage signal is normal and stored as a normal voltage signal. If not, further classification and judgment are performed.

[0017] Next, it is determined whether the voltage signal is within the second voltage reference range. If it is, the voltage signal is abnormal and stored as an abnormal voltage signal. If it is not, the voltage signal is a fault voltage signal and stored as a fault voltage signal.

[0018] The algorithm for calculating the degree to which the current signal and the voltage signal deviate from the reference data is as follows:

[0019] Extract the abnormal current signal data and calculate the degree to which the abnormal current signal deviates from the characteristics of the reference data. Where I u For the abnormal current signal, I e This is a reference value for the current.

[0020] Extract the fault current signal data and calculate the degree to which the fault current signal deviates from the characteristics of the reference data. Where I f The fault current signal;

[0021] Extract the abnormal voltage signal data and calculate the degree to which the abnormal voltage signal deviates from the characteristics of the reference data. Among them U u For the abnormal voltage signal, U e This is a voltage reference value;

[0022] Extract the fault voltage signal data and calculate the degree to which the fault voltage signal deviates from the characteristics of the reference data. Among them U f This refers to the fault voltage signal.

[0023] The method for assessing the state of the power system based on the average degree of deviation from the reference data is as follows:

[0024] The average value of the degree to which the abnormal current signal deviates from the characteristics of the reference data is compared with the reference value of the degree of abnormal current deviation.

[0025] The average value of the degree to which the fault current signal deviates from the characteristics of the reference data is compared with a reference value for the degree of fault current deviation.

[0026] The average value of the degree to which the abnormal voltage signal deviates from the characteristics of the reference data is compared with a reference value for the degree of abnormal voltage deviation.

[0027] The average value of the degree to which the fault voltage signal deviates from the characteristics of the reference data is compared with a reference value for the degree of fault voltage deviation.

[0028] If two or more sets of deviations exceed the reference value, the power system is in an abnormal state and there is a level one fault.

[0029] If there is a set of deviations that are greater than the reference value, the power system is in an abnormal state and there is a level two fault.

[0030] If there is no set of deviations greater than the reference value, the power system is in good condition.

[0031] Compared with existing technologies, the beneficial effects are: the power system status assessment method first classifies the collected current and voltage signals, then calculates the degree of deviation from the reference data and the average value, and then conducts an accurate, timely and effective assessment of the power system status. Attached Figure Description

[0032] Figure 1 This is a flowchart illustrating the process of a power system state assessment method based on multi-category analysis according to the present invention. Detailed Implementation

[0033] The following detailed description, in conjunction with the accompanying drawings, illustrates a specific implementation of the power system state assessment method based on multi-category analysis according to the present invention.

[0034] like Figure 1 As shown, the power system condition assessment method of the present invention includes the following steps:

[0035] Step (1): Collect the current and voltage signals of each transmission and distribution unit of the power system within a sampling period T;

[0036] Step (2): Store the collected signals;

[0037] Step (3): Classify the collected current signal and voltage signal:

[0038] The specific method for classifying the acquired current signals is as follows:

[0039] Determine whether the current signal is within the first current reference range. If yes, the current signal is normal and stored as a normal current signal. If not, determine whether the current signal is within the second current reference range. If yes, the current signal is abnormal and stored as an abnormal current signal. If not, the current signal is a fault current and stored as a fault current signal.

[0040] The specific method for classifying the acquired voltage signals is as follows:

[0041] Determine whether the voltage signal is within the first voltage reference range. If yes, the voltage signal is normal and stored as a normal voltage signal. If not, determine whether the voltage signal is within the second voltage reference range. If yes, the voltage signal is abnormal and stored as an abnormal voltage signal. If not, the voltage signal is a fault voltage current and stored as a fault voltage signal.

[0042] Step (4): Calculate the degree to which the current signal and the voltage signal deviate from the reference data:

[0043] Extract the abnormal current signal data and calculate the degree to which the abnormal current signal deviates from the characteristics of the reference data. Where I u For the abnormal current signal, I e This is a reference value for the current.

[0044] Extract the fault current signal data and calculate the degree to which the fault current signal deviates from the characteristics of the reference data. Where I f The fault current signal;

[0045] Extract the abnormal voltage signal data and calculate the degree to which the abnormal voltage signal deviates from the characteristics of the reference data. Among them U u For the abnormal voltage signal, U e This is a voltage reference value;

[0046] Extract the fault voltage signal data and calculate the degree to which the fault voltage signal deviates from the characteristics of the reference data. Among them U f The fault voltage signal

[0047] Step (5): Calculate the average value of the degree to which the current signal and the voltage signal deviate from the reference data;

[0048] Step (6): Assess the state of the power system based on the average degree of deviation from the reference data:

[0049] The average value of the degree to which the abnormal current signal deviates from the characteristics of the reference data is compared with the reference value of the degree of abnormal current deviation.

[0050] The average value of the degree to which the fault current signal deviates from the characteristics of the reference data is compared with a reference value for the degree of fault current deviation.

[0051] The average value of the degree to which the abnormal voltage signal deviates from the characteristics of the reference data is compared with a reference value for the degree of abnormal voltage deviation.

[0052] The average value of the degree to which the fault voltage signal deviates from the characteristics of the reference data is compared with a reference value for the degree of fault voltage deviation.

[0053] If two or more sets of deviations exceed the reference value, the power system is in an abnormal state and there is a level one fault. It needs to be dealt with in a timely manner to prevent the fault from escalating and causing more serious consequences.

[0054] If there is a set of deviations that are greater than the reference deviation value, the power system is in an abnormal state, indicating a level two fault, which needs to be addressed.

[0055] If there is no set of deviations greater than the reference value, the power system is in good condition.

[0056] Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and not intended to limit it. Those skilled in the art should understand that modifications or equivalent substitutions can be made to the specific embodiments of the present invention, but such modifications or alterations are all within the scope of protection of the pending claims.

Claims

1. A power system state assessment method based on multi-category analysis, characterized in that, The power system condition assessment method includes the following steps: Step (1): Collect the current and voltage signals of each power transmission and distribution unit in the power system within a sampling period T; Step (2): Store the collected signals; Step (3): Classify the collected current signals and voltage signals into: normal current signals, abnormal current signals, fault current signals, normal voltage signals, abnormal voltage signals, and fault voltage signals. Step (4): Calculate the degree to which the current signal and the voltage signal deviate from the reference data, specifically calculate the degree to which the abnormal current signal, fault current signal, abnormal voltage signal, and fault voltage signal deviate from the reference data; Step (5): Calculate the average value of the degree to which the current signal and the voltage signal deviate from the reference data, specifically calculate the average value of the degree to which the abnormal current signal, the fault current signal, the abnormal voltage signal, and the fault voltage signal deviate from the reference data; Step (6): Evaluate the state of the power system based on the average degree of deviation from the reference data, specifically as follows: If two or more sets of deviations exceed the reference value, the power system is in an abnormal state and there is a level one fault. If there is a set of deviations that are greater than the reference value, the power system is in an abnormal state and there is a level two fault. If there is no set of deviations greater than the reference value, the power system is in good condition.

2. The power system state assessment method based on multi-category analysis according to claim 1, characterized in that, The specific method for classifying the acquired current signals is as follows: First, determine whether the current signal is within the first current reference range. If it is, the current signal is normal and stored as a normal current signal. If not, further classification and judgment are performed. Next, it is determined whether the current signal is within the second current reference range. If it is, the current signal is abnormal and is stored as an abnormal current signal; if not, the current signal is a fault current and is stored as a fault current signal.

3. The power system state assessment method based on multi-category analysis according to claim 2, characterized in that, The specific method for classifying the acquired voltage signals is as follows: First, determine whether the voltage signal is within the first voltage reference range. If it is, the voltage signal is normal and stored as a normal voltage signal. If not, further classification and judgment are performed. Next, it is determined whether the voltage signal is within the second voltage reference range. If it is, the voltage signal is abnormal and stored as an abnormal voltage signal. If it is not, the voltage signal is a fault voltage current and stored as a fault voltage signal.

4. The power system state assessment method based on multi-category analysis according to claim 3, characterized in that, The algorithm for calculating the degree to which the current signal and the voltage signal deviate from the reference data is as follows: Extract the abnormal current signal data and calculate the degree to which the abnormal current signal deviates from the characteristics of the reference data. ,in This refers to the abnormal current signal. This is a reference value for the current. Extract the fault current signal data and calculate the degree to which the fault current signal deviates from the characteristics of the reference data. ,in The fault current signal; Extract the abnormal voltage signal data and calculate the degree to which the abnormal voltage signal deviates from the characteristics of the reference data. ,in The abnormal voltage signal, This is a voltage reference value; Extract the fault voltage signal data and calculate the degree to which the fault voltage signal deviates from the characteristics of the reference data. ,in The fault voltage signal is referred to here.

5. The power system state assessment method based on multi-category analysis according to claim 4, characterized in that, The method for assessing the state of the power system based on the average degree of deviation from the reference data is as follows: The average value of the degree to which the abnormal current signal deviates from the characteristics of the reference data is compared with the reference value of the degree of abnormal current deviation. The average value of the degree to which the fault current signal deviates from the characteristics of the reference data is compared with a reference value for the degree of fault current deviation. The average value of the degree to which the abnormal voltage signal deviates from the characteristics of the reference data is compared with a reference value for the degree of abnormal voltage deviation. The average value of the degree to which the fault voltage signal deviates from the characteristics of the reference data is compared with a reference value for the degree of fault voltage deviation. If two or more sets of deviations exceed the reference value, the power system is in an abnormal state and there is a level one fault. If there is a set of deviations that are greater than the reference value, the power system is in an abnormal state and there is a level two fault. If there is no set of deviations greater than the reference value, the power system is in good condition.

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