Voltage measurement data reduction method and recognition method for different voltage classes of transformer substation
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A voltage level and voltage measurement technology, applied in the direction of measuring current/voltage, measuring only voltage, measuring electrical variables, etc., can solve the problem that the calculated value deviates from the accurate value, the accuracy is not high, and the abnormal state of the voltage measurement data is affected Identification and other issues
Active Publication Date: 2020-08-28
STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
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Problems solved by technology
[0005] The technical problem to be solved by the present invention is that the existing method of using the design parameters on the nameplate of the transformer to reduce the voltages of different voltage levels to the same voltage level does not consider the influence of the operating environment and operating conditions of the transformer on its transformation ratio, and the operating conditions occur. Slight changes will cause the calculated value to deviate from the accurate value, and the accuracy of the reduced calculation is not high, which will affect the identification of the abnormal state of the voltage measurement data
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Embodiment 1
[0066] Such as figure 1 As shown, the voltage measurement data reduction method of different voltage levels of the substation of the present invention comprises the following steps:
[0067] S1: According to the historical voltage data F3, calculate the weighted average value of m different voltage levels of the transformer Among them, m represents the substation voltage level dimension, 1≤m≤N, N is a positive integer; tx represents the time moment, 1≤tx≤t s , t s is the total time of the historical voltage data file, take a positive integer;
[0068] S2: According to step S1, use the following formula to convert the m-side voltage of the transformer to the l-side voltage to obtain the voltage reduction value
[0069]
[0070] In the formula, is the weighted average value of m different voltage levels of the transformer, is the weighted average value of different voltage levels of the transformer l; tx means the txth moment; t s is the time moment; 1≤l≤N, l≠m, N ...
Embodiment 2
[0095] Such as figure 2 As shown, the difference between this embodiment and Embodiment 1 is that this embodiment provides a method for identifying anomalies in grid voltage measurement based on distance correlation coefficients, including the following steps:
[0096] S0: Use the grid voltage data acquisition system to collect historical voltage data and form a historical voltage data file F1; the historical voltage data file F1 includes voltage data of the same substation, different intervals, different voltage levels, and the same phase Among them, t1 represents the time scale, and the value range is T1 is the time length of the F1 file; sam is the sampling interval of the grid voltage data acquisition system; i is the different intervals of the same voltage level of the substation, the value range is 1≤i≤B, and B is the total number of intervals of the same voltage level of the substation;
[0097] S1: Using the voltage measurement data reduction method of different vo...
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Abstract
The invention discloses a voltage measurement data reduction method and recognition method for different voltage classes of a transformer substation. The method comprises the following steps: calculating weighted average values of different interval data in historical voltage measurement data and reduction values of different voltage classes; calculating equivalent voltage data from the to-be-identified measurement data to realize automatic reduction of the voltage measurement data of any voltage level of the transformer substation to the same voltage level; the recognition method comprises the following steps: automatically calculating a distance correlation coefficient matrix among a plurality of intervals by utilizing multi-dimensional voltage historical data, and learning to find out athreshold value for identifying the abnormality of voltage measurement data; calculating a distance correlation coefficient matrix among a plurality of intervals by utilizing the to-be-identified voltage data file; and judging a voltage measurement data state in the new multi-dimensional voltage data file by combining a threshold value which is automatically learned by utilizing historical voltage data and is used for identifying the abnormity of the voltage measurement data, thereby realizing voltage measurement and transmission state recognition of a transformer substation voltage transformer, a secondary transmission and transformation loop and a measurement and control device.
Description
technical field [0001] The invention relates to the technical field of voltage measurement data reduction, in particular to a voltage measurement data reduction method and an identification method for substations with different voltage levels. Background technique [0002] Voltage is an important factor for the safe and stable operation of power systems and determines the quality of power grid operation. The voltage drop will increase the loss of power transmission in the power grid, and may also endanger the stability of the power grid operation, causing voltage collapse accidents; if the voltage is too high, it will affect the insulation of power transmission, substations, and user equipment. [0003] The substation uses the transformer to change the grid voltage into different voltage levels, which plays the function of voltage conversion. According to "the voltage at both ends of each branch of the parallel circuit is equal" in electricity, the primary equipment of each...
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