Electric model data generation method for blast furnace substation

Abstract

The application discloses a data generation method for an electric model of a blast furnace substation, and relates to the technical field of power systems.The method comprises the following steps: firstly, a data generation time sequence table is constructed; secondly, blast furnace electric monitoring data in a period of time is collected; thirdly, the collected data is input into the data generation time sequence table; fourthly, simulation values of blast furnace electric monitoring objects at each data collection time are calculated according to the data in the data generation time sequence table; and finally, the calculated simulation values are used as simulation data to input a power distribution protection device of the blast furnace to implement a simulation test.The method provided by the application is used for simulation of the power distribution protection device of the blast furnace.

Description

Technical Field

[0001] This invention relates to power system technology, and in particular to a method for generating power model data for blast furnace substations. Background Technology

[0002] Blast furnace equipment operates by connecting to the power supply busbar via circuit breakers, using high-voltage power supply and having dedicated power distribution circuits or substations. Its load characteristics include high current, high voltage, large starting current, high harmonic content, and long operating duration. Blast furnace equipment is equipped with several online monitoring and control devices to monitor the real-time voltage and current at detection points, providing data for the power distribution protection devices to perform protection calculations.

[0003] The power distribution protection devices for blast furnace substations include various types of protection such as current-type, voltage-type, and angle-type protection. Each protection device will go through three processes under the protection setting conditions: start-up, operation, and output operation mechanism.

[0004] Blast furnace monitoring needs to consider complex operating conditions under various circumstances, but extreme operating conditions rarely occur in actual applications. Therefore, it is meaningful to simulate the power consumption data of blast furnaces.

[0005] Simulation tests on the power consumption of blast furnace substations can verify whether the protection devices can operate correctly during faults and reduce false trips during normal operation. However, there are various types of blast furnaces, and the existing simulation data are mostly based on the power distribution network, which has poor matching with the operating conditions of the blast furnace, resulting in poor simulation test results. Summary of the Invention

[0006] In view of the deficiencies in the existing technology, the technical problem to be solved by the present invention is to provide a method for generating power model data of blast furnace substation that has good matching with the working conditions of blast furnace, can simulate the real working conditions of blast furnace, and improves the simulation test effect.

[0007] To address the aforementioned technical problems, the present invention provides a method for generating power consumption model data for blast furnace substations, characterized by the following specific steps:

[0008] 1) Set the three-phase current and three-phase voltage of the blast furnace power supply line, as well as the blast furnace pressure and blast furnace temperature, as four types of blast furnace power consumption monitoring objects;

[0009] 2) Construct a data generation time series table, which contains the monitoring object name, monitoring data acquisition time, monitoring object acquisition value, monitoring object disturbance time, and monitoring object disturbance value;

[0010] 3) During the Tm time period, power consumption monitoring data of each power consumption monitoring object in the blast furnace substation is collected once every Tstep. The power consumption monitoring data of the power consumption monitoring object includes the monitoring object name, data collection time, monitoring object collection value, monitoring object disturbance time, and monitoring object disturbance value.

[0011] Where Tm and Tstep are preset time length thresholds;

[0012] In the process of collecting electricity monitoring data for the blast furnace electricity monitoring object, the first data collection time is set to 0 milliseconds, and the subsequent data collection times are the time difference relative to the first data collection time.

[0013] 4) Input the power consumption monitoring data of the blast furnace power consumption monitoring object collected in step 3) into the data generation time series table Table, thereby generating M records in the data generation time series table Table, each record containing the power consumption monitoring data of one blast furnace power consumption monitoring object;

[0014] 5) Let the iteration variable r = 1;

[0015] 6) Let j equal the data acquisition time of the r-th record in the data generation time series table;

[0016] 7) Order If j0 is less than 0, then let r = r + 1 and go to step 6; otherwise, go to step 8.

[0017] 8) Calculate the simulated value of the blast furnace power consumption monitoring object at time j. The specific calculation formula is as follows:

[0018]

[0019] if Then let

[0020] if Then let

[0021] In the formula, Let j be the simulation value of the blast furnace power consumption monitoring object at time j. The value collected by the monitored object at time j. Let be the value collected by the monitored object at time i, f be the power grid frequency of the blast furnace power supply line, Tr be the disturbance time of the monitored object in the r-th record of the data generation time series table, and USet be the disturbance value of the monitored object in the r-th record of the data generation time series table. The disturbance distribution coefficient;

[0022] 9) Order If the r-th record is the last record in the data generation time series table Table, then proceed to step 10; otherwise, let r = r + 1 and proceed to step 6.

[0023] 10) Input the data in the data generation time series table Table as simulation data into the power distribution protection device of the blast furnace to carry out simulation test.

[0024] The method for generating power consumption model data for blast furnace substations provided by this invention generates simulation protection data for blast furnace power distribution protection devices by combining front disturbance and back disturbance based on the actual power consumption monitoring data of the blast furnace. It can simulate the fault characteristics of high current and high voltage of blast furnace in blast furnace substations in a relatively realistic manner, has a good matching degree with the working conditions of blast furnace, can simulate the actual working conditions of blast furnace, and improve the simulation test effect. Detailed Implementation

[0025] The technical solution of the present invention will be further described in detail below with reference to specific embodiments. However, these embodiments are not intended to limit the present invention. Any similar structures and similar variations of the present invention should be included in the protection scope of the present invention. The commas in the present invention all indicate the relationship between and. The English letters in the present invention are case-sensitive.

[0026] The present invention provides a method for generating power consumption model data for a blast furnace substation, characterized by the following specific steps:

[0027] 1) Set the three-phase current and three-phase voltage of the blast furnace power supply line, as well as the blast furnace pressure and blast furnace temperature, as four types of blast furnace power consumption monitoring objects;

[0028] 2) Construct a data generation time series table, which contains the monitoring object name, monitoring data acquisition time, monitoring object acquisition value, monitoring object disturbance time, and monitoring object disturbance value;

[0029] 3) During the Tm time period, power consumption monitoring data of each power consumption monitoring object in the blast furnace substation is collected once every Tstep. The power consumption monitoring data of the power consumption monitoring object includes the monitoring object name, data collection time, monitoring object collection value, monitoring object disturbance time, and monitoring object disturbance value.

[0030] Among them, Tm and Tstep are preset time length thresholds, Tm is greater than 1 hour, Tstep is less than 1 ms, and the number of collected power consumption monitoring data is greater than 3,600,000.

[0031] In the process of collecting electricity monitoring data for the blast furnace electricity monitoring object, the first data collection time is set to 0 milliseconds, the subsequent data collection time is the time difference relative to the first data collection time, and the last data collection time is (M-1)×Tstep milliseconds, where M is the number of electricity monitoring data collected;

[0032] 4) Input the power consumption monitoring data of the blast furnace power consumption monitoring object collected in step 3) into the data generation time series table Table, thereby generating M records in the data generation time series table Table, each record containing the power consumption monitoring data of one blast furnace power consumption monitoring object;

[0033] 5) Let the iteration variable r = 1;

[0034] 6) Let j equal the data acquisition time of the r-th record in the data generation time series table;

[0035] 7) Order If j0 is less than 0, then let r = r + 1 and go to step 6; otherwise, go to step 8.

[0036] 8) Calculate the simulated value of the blast furnace power consumption monitoring object at time j. The specific calculation formula is as follows:

[0037]

[0038] if Then let

[0039] if Then let

[0040] In the formula, Let j be the simulation value of the blast furnace power consumption monitoring object at time j. The value collected by the monitored object at time j. Let be the value collected by the monitored object at time i, f be the power grid frequency of the blast furnace power supply line, Tr be the disturbance time of the monitored object in the r-th record of the data generation time series table, and USet be the disturbance value of the monitored object in the r-th record of the data generation time series table. The disturbance distribution coefficient;

[0041] In this step, the values ​​of adjacent acquisition points at time j are used to calculate the simulation values. The cycles of the three-phase current and three-phase voltage are sine waves. The purpose of 1000 / 4 / Tstep is to convert Tstep into data points per second. Although the fluctuation curves of blast furnace pressure and blast furnace temperature are not sine waves, the data points can still be calculated using this formula.

[0042] 9) Order If the r-th record is the last record in the data generation time series table Table, then proceed to step 10; otherwise, let r = r + 1 and proceed to step 6.

[0043] 10) Input the data in the data generation time series table Table as simulation data into the power distribution protection device of the blast furnace to carry out simulation test.

Claims

1. A method for generating power consumption model data for a blast furnace substation, characterized in that, The specific steps are as follows: 1) Set the three-phase current and three-phase voltage of the blast furnace power supply line, as well as the blast furnace pressure and blast furnace temperature, as four types of blast furnace power consumption monitoring objects; 2) Construct a data generation time series table, which contains the monitoring object name, monitoring data acquisition time, monitoring object acquisition value, monitoring object disturbance time, and monitoring object disturbance value; 3) During the Tm time period, power consumption monitoring data of each power consumption monitoring object in the blast furnace substation is collected once every Tstep. The power consumption monitoring data of the power consumption monitoring object includes the monitoring object name, data collection time, monitoring object collection value, monitoring object disturbance time, and monitoring object disturbance value. Where Tm and Tstep are preset time length thresholds; In the process of collecting electricity monitoring data for the blast furnace electricity monitoring object, the first data collection time is set to 0 milliseconds, and the subsequent data collection times are the time difference relative to the first data collection time. 4) Input the power consumption monitoring data of the blast furnace power consumption monitoring object collected in step 3) into the data generation time series table Table, thereby generating M records in the data generation time series table Table, each record containing the power consumption monitoring data of one blast furnace power consumption monitoring object; 5) Let the iteration variable r = 1; 6) Let j equal the data acquisition time of the r-th record in the data generation time series table; 7) Order If j0 is less than 0, then let r = r + 1 and go to step 6; otherwise, go to step 8. 8) Calculate the simulated value of the blast furnace power consumption monitoring object at time j. The specific calculation formula is as follows: ； if Then let ; if Then let ; In the formula, Let j be the simulation value of the blast furnace power consumption monitoring object at time j. The value collected by the monitored object at time j. Let be the value collected by the monitored object at time i, f be the power grid frequency of the blast furnace power supply line, Tr be the disturbance time of the monitored object in the r-th record of the data generation time series table, and USet be the disturbance value of the monitored object in the r-th record of the data generation time series table. The disturbance distribution coefficient; 9) Order If the r-th record is the last record in the data generation time series table Table, then proceed to step 10; otherwise, let r = r + 1 and proceed to step 6. 10) Input the data in the data generation time series table Table as simulation data into the power distribution protection device of the blast furnace to carry out simulation test.

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