CN114529215B - Power grid frequency calculation method and device, electronic equipment and storage medium - Google Patents
Power grid frequency calculation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a power grid frequency calculation method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring a first measurement period and a second measurement period of the power grid frequency, wherein the first measurement period is larger than the second measurement period, calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period, calculating dynamic frequency signal data of the power grid according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error and a preset dynamic frequency signal calculation model, and determining the frequency measurement result of the power grid based on the dynamic frequency signal data and the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error. The application provides a calculation method of the power grid frequency, which improves the calculation efficiency of the power grid frequency.
Description
Technical Field
The present application relates to the field of power grid frequency computing technologies, and in particular, to a power grid frequency computing method, a device, an electronic apparatus, and a storage medium.
Background
The frequency is one of the important indicators of the power quality, and is an important parameter reflecting the running state of the power system. In general, the system frequency reflects the basic state of active power supply-demand balance in the power system, and it will slowly change in a small range with load fluctuation. In a stable operating state, the output power of the generator is balanced with the system load and loss, and the frequency of the electric power system is a nominal value. Frequency offset may be caused if large capacity loads or switching of generators and imperfections in control equipment, thereby affecting stable operation of the power system and normal operation of the user equipment.
When the power generation and the users are unbalanced, and the power consumption exceeds the load capacity of the power generator to cause the low-frequency operation of the power grid, the power supply and the load are unbalanced very infirm under the low frequency, namely the stability is very poor, the power grid is easy to collapse, and the safe operation of the power grid is seriously threatened; the frequency is reduced, the rotation speed of the generator and the motor is reduced, so that the terminal voltage of the generator and the output of the motor are reduced, the quality and the output of user products are affected, the rejection rate of industrial users is increased, the consumption of raw materials and energy sources is increased, and even the burning of power generation equipment and the motor and the damage of other equipment can be caused; automatic equipment with strict requirements on frequency often has misoperation, such as inaccurate electric clock, increased error of an electric measuring instrument, misoperation of a safety automatic device and relay protection, and the like.
The high-frequency operation of the power system refers to an abnormal working condition that the power supply output of the system is higher than the consumption of the power supply under the nominal frequency of the load, most of the working condition is caused by the fact that a power supply unit suddenly throws away a large amount of load due to various reasons, and when the power grid has high frequency, the power system and a user are also seriously damaged, and particularly the safety is more serious.
The frequency reflects the basic state of active power supply and demand balance in the power system. Excessive deviations from the nominal value of the power system operating frequency can have adverse effects on the power consumer and the power plant. Accuracy and rapidity of frequency measurement are related to grid frequency control, so the accuracy and rapidity of frequency measurement are key indexes of grid frequency control.
Therefore, in order to improve the calculation efficiency of the grid frequency, the technical problem that the existing calculation method of the grid frequency is low in efficiency is solved, and a method for constructing the calculation method of the grid frequency is needed to be constructed.
Disclosure of Invention
The application provides a power grid frequency calculation method, a device, electronic equipment and a storage medium, which solve the technical problem that the existing power grid frequency calculation method is low in efficiency.
In a first aspect, the present application provides a method for calculating a grid frequency, including:
acquiring a first measurement period and a second measurement period of the power grid frequency; the first measurement period is greater than the second measurement period;
calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period;
according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, a preset dynamic frequency signal calculation model is combined, and dynamic frequency signal data of the power grid are obtained through calculation;
and determining the frequency measurement result of the power grid based on the dynamic frequency signal data by combining the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error.
Optionally, acquiring the first measurement period and the second measurement period of the grid frequency includes:
acquiring a first measurement period of the power grid frequency by a high-precision slow measurement method;
and obtaining a second measurement period of the power grid frequency by a low-precision rapid measurement method.
Optionally, the preset dynamic frequency signal calculation model includes a first dynamic frequency signal calculation model and a second dynamic frequency signal calculation model; according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, and in combination with a preset dynamic frequency signal calculation model, calculating to obtain dynamic frequency signal data of the power grid, wherein the method comprises the following steps:
when the value of the first frequency measurement result is larger than the value of the second frequency measurement result, inputting the first frequency measurement error, the second frequency measurement result and the second frequency measurement error into the first dynamic frequency signal calculation model, and calculating to obtain dynamic frequency signal data of the power grid;
and when the value of the first frequency measurement result is smaller than that of the second frequency measurement result, inputting the first frequency measurement result, the first frequency measurement error and the second frequency measurement error into the second dynamic frequency signal calculation model, and calculating to obtain dynamic frequency signal data of the power grid.
Optionally, determining the frequency measurement of the power grid based on the dynamic frequency signal data in combination with the first frequency measurement, the first frequency measurement error, the second frequency measurement, and the second frequency measurement error includes:
setting a frequency dynamic mark based on the dynamic frequency signal data by combining the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error;
and determining a frequency measurement method of the power grid and a frequency measurement result corresponding to the frequency measurement method based on the frequency dynamic mark.
In a second aspect, the present application provides a computing device for a grid frequency, comprising:
the acquisition module is used for acquiring a first measurement period and a second measurement period of the power grid frequency; the first measurement period is greater than the second measurement period;
the error module is used for calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period;
the dynamic module is used for calculating dynamic frequency signal data of the power grid according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error and by combining a preset dynamic frequency signal calculation model;
and the result module is used for determining the frequency measurement result of the power grid based on the dynamic frequency signal data and combining the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error.
Optionally, the acquiring module includes:
the high sperm module is used for acquiring a first measurement period of the power grid frequency by a high-precision slow measurement method;
and the low sperm module is used for acquiring a second measurement period of the power grid frequency by a low-precision rapid measurement method.
Optionally, the preset dynamic frequency signal calculation model includes a first dynamic frequency signal calculation model and a second dynamic frequency signal calculation model; the dynamic module includes:
the first calculation sub-module is used for inputting the first frequency measurement error, the second frequency measurement result and the second frequency measurement error into the first dynamic frequency signal calculation model when the value of the first frequency measurement result is larger than that of the second frequency measurement result, and calculating to obtain dynamic frequency signal data of the power grid;
and the second calculation sub-module is used for inputting the first frequency measurement result, the first frequency measurement error and the second frequency measurement error into the second dynamic frequency signal calculation model when the value of the first frequency measurement result is smaller than that of the second frequency measurement result, and calculating to obtain dynamic frequency signal data of the power grid.
Optionally, the result module includes:
a marking sub-module, configured to set a frequency dynamic mark based on the dynamic frequency signal data in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result, and the second frequency measurement error;
and the determining submodule is used for determining a frequency measurement method of the power grid and a frequency measurement result corresponding to the frequency measurement method based on the frequency dynamic mark.
In a third aspect, the application provides an electronic device comprising a processor and a memory storing computer readable instructions which, when executed by the processor, perform the steps of the method as provided in the first aspect above.
In a fourth aspect, the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as provided in the first aspect above.
From the above technical scheme, the application has the following advantages: the application provides a calculation method of a power grid frequency, which comprises the steps of obtaining a first measurement period and a second measurement period of the power grid frequency, wherein the first measurement period is larger than the second measurement period, calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period, calculating dynamic frequency signal data of the power grid by combining a preset dynamic frequency signal calculation model, determining the frequency measurement result of the power grid by combining the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, and solving the technical problem that the existing calculation method of the power grid frequency is low in efficiency and improving the calculation efficiency of the power grid frequency by using the calculation method of the power grid frequency.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flowchart illustrating a method for calculating a grid frequency according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating a second embodiment of a method for calculating a grid frequency according to the present application;
FIG. 3 is a schematic waveform diagram of a medium-precision frequency measurement method in the power grid frequency calculation method of the application;
fig. 4 is a schematic diagram of a medium-precision frequency measurement method in the calculation method of the power grid frequency according to the present application;
fig. 5 is a block diagram of an embodiment of a power grid frequency computing device according to the present application.
Detailed Description
The embodiment of the application provides a power grid frequency calculation method, a device, electronic equipment and a storage medium, which are used for solving the technical problem that the existing power grid frequency calculation method is low in efficiency.
In order to make the objects, features and advantages of the present application more comprehensible, the technical solutions in the embodiments of the present application are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, fig. 1 is a flowchart of a first embodiment of a method for calculating a grid frequency according to the present application, including:
step S101, a first measurement period and a second measurement period of the power grid frequency are obtained; the first measurement period is greater than the second measurement period;
step S102, calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period;
step S103, according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, combining a preset dynamic frequency signal calculation model, and calculating to obtain dynamic frequency signal data of the power grid;
step S104, determining a frequency measurement result of the power grid based on the dynamic frequency signal data in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error.
According to the power grid frequency calculation method, the first measurement period and the second measurement period of the power grid frequency are obtained, the first measurement period is larger than the second measurement period, the first frequency measurement error and the first frequency measurement result corresponding to the first measurement period are calculated, the second frequency measurement error and the second frequency measurement result corresponding to the second measurement period are calculated, the dynamic frequency signal data of the power grid are obtained through calculation according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error in combination with a preset dynamic frequency signal calculation model, the frequency measurement result of the power grid is determined based on the dynamic frequency signal data in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, and the existing technical problem that the power grid frequency calculation method is low in efficiency is solved through the power grid frequency calculation method at present, and the power grid frequency calculation efficiency is improved.
Referring to fig. 2, fig. 2 is a flowchart of a method for calculating a grid frequency according to the present application, including:
step S201, a first measurement period of the power grid frequency is obtained through a high-precision slow measurement method;
step S202, obtaining a second measurement period of the power grid frequency by a low-precision rapid measurement method;
step S203, calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period;
in the embodiment of the present application, a first frequency measurement error d corresponding to the first measurement period is calculated 1 And a first frequency measurement Sc 1 And a second frequency measurement error d corresponding to the second measurement period 2 And a second frequency measurement Sc 2 。
In a specific implementation, referring to fig. 3, fig. 3 is a schematic waveform diagram of a medium-precision frequency measurement method in the calculation method of a power grid frequency according to the present application; wherein 301 is a preset gate, 302 is an actual gate, 303 is a standard frequency signal, and 304 is a measured signal.
Referring to fig. 4, fig. 4 is a schematic diagram of a medium-precision frequency measurement method in the power grid frequency calculation method according to the present application; wherein 401 is a preset gating signal, 402 is a clear signal, 403 is a D flip-flop, 303 is a standard frequency signal, 304 is a measured signal, and CNT1 and CNT2 are two controllable counters.
The equal-precision frequency measurement method is developed on the basis of a direct frequency measurement method. As shown in fig. 3, the gate time is not a fixed value, but an integer multiple of the period of the measured signal, i.e., synchronized with the measured signal, and the implementation thereof can be illustrated by fig. 4. In fig. 4, the preset gate signal is one pulse for one preset gate time, and the controllable counter CNT1 and the controllable counter CNT2 are two controllable counters. The standard frequency signal 303 is input from the clock input CLK of the controllable counter CNT1, and has a frequency f s . The shaped measured signal 304 (frequency f x ) The rising edge of the measured signal 304 is inputted from the clock input terminal CLK of the controllable counter CNT2 through the Q terminal of the D flip-flop 403 while the controllable counter CNT1 and the controllable counter CNT2 are simultaneously started to count when the preset gate signal is at a high level (the preset time starts). The controllable counter CNT1 and the controllable counter CNT2 are respectively used for detecting the signal 304 (frequency f x ) And standard frequency signal 303 (frequency f s ) And simultaneously counting. Also, when the preset gate signal is low (the preset time is over), the rising edge of the subsequent measured signal 304 passes through DThe output of flip-flop 403 is turned off at the same time as the count of the counter. The counter value of the counter to the detected signal 304 is N in one preset gate time x Count value of standard signal is N s . The following holds:
from this it can be deduced that:
wherein f x For frequency measurement error, f s Is a standard frequency signal, N x To preset the count value of the counter to the detected signal in one time, N s For presetting the count value of the counter to the standard signal in one time.
Whereas the standard signal count value N of the equal-precision measurement method s There is an error of + -1.
According to the formulaN s Error + -1, f x Error is f s ×N x /(N s -1)~f s ×N x /(N s +1);
N x The larger N s The larger N s The smaller the error brought by + -1. For measuring frequency signals with the grid frequency of about 50Hz, f s Under certain conditions, N x =5 cycles, compared to N x =50 cycles, the measurement time is shorter and the measurement error is larger.
The measurement time and the measurement error cannot be obtained simultaneously, the method provided by the application synthesizes the two measurement results of high-precision slow response and low-precision fast response of frequency measurement, carries out comprehensive calculation, outputs the frequency measurement result capable of obtaining high-precision fast response, and can quickly respond in a frequency dynamic range, so that the measurement precision is reduced to some extent; and in the frequency steady-state interval, outputting a high-precision measurement result.
Step S204, when the value of the first frequency measurement result is greater than the value of the second frequency measurement result, inputting the first frequency measurement error, the second frequency measurement result and the second frequency measurement error into the first dynamic frequency signal calculation model, and calculating to obtain dynamic frequency signal data of the power grid;
in the embodiment of the application, when the value of the first frequency measurement result is larger than the value of the second frequency measurement result, the dynamic frequency signal data of the power grid is calculated based on the first dynamic frequency signal calculation model.
The first dynamic frequency signal calculation model specifically comprises the following steps:
Sj 3 =Sc 2 -(d 1 +d 2 );
wherein Sj 3 Is a dynamic frequency signal of a power grid, sc 2 D is the second frequency measurement result 1 For the first frequency measurement error, d 2 The error is measured for the second frequency.
Step S205, when the value of the first frequency measurement result is smaller than the value of the second frequency measurement result, inputting the first frequency measurement result, the first frequency measurement error and the second frequency measurement error into the second dynamic frequency signal calculation model, and calculating to obtain dynamic frequency signal data of the power grid;
in the embodiment of the application, when the value of the first frequency measurement result is smaller than the value of the second frequency measurement result, the dynamic frequency signal data of the power grid is calculated based on the second dynamic frequency signal calculation model.
The second dynamic frequency signal calculation model specifically comprises the following steps:
Sj 3 =Sc 1 +(d 1 +d 2 );
wherein Sj 3 Is a dynamic frequency signal of a power grid, sc 1 D, for the first frequency measurement result 1 For the first frequency measurementError, d 2 The error is measured for the second frequency.
Step S206, setting a frequency dynamic mark based on the dynamic frequency signal data and combining the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error;
in the embodiment of the application, based on the dynamic frequency signal data, a frequency dynamic mark is set in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error.
In a specific implementation, when the absolute value of the difference between the first measurement period and the second measurement period is greater than the sum of the first frequency measurement error and the second frequency measurement error, then the frequency dynamic flag is set to 1.
When the absolute value of the difference between the first measurement period and the dynamic frequency signal data is less than the first frequency measurement error, then the frequency dynamic flag is set to 1.
If the relation among the dynamic frequency signal data, the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error is not satisfied, the frequency dynamic mark is set to 0.
Step S207, determining a frequency measurement method of the power grid and a frequency measurement result corresponding to the frequency measurement method based on the frequency dynamic tag.
In the embodiment of the application, the frequency measurement method of the power grid and the frequency measurement result corresponding to the frequency measurement method are determined based on the frequency dynamic mark.
In a specific implementation, when the frequency dynamic mark is set to be 1, determining to select a low-precision rapid measurement method, performing power grid frequency measurement, and determining a first frequency measurement result as a frequency measurement result; when the frequency dynamic mark is set to 0, a high-precision slow measurement method is determined to be selected, the power grid frequency measurement is carried out, and a second frequency measurement result is determined to be a frequency measurement result.
According to the power grid frequency calculation method, the first measurement period and the second measurement period of the power grid frequency are obtained, the first measurement period is larger than the second measurement period, the first frequency measurement error and the first frequency measurement result corresponding to the first measurement period are calculated, the second frequency measurement error and the second frequency measurement result corresponding to the second measurement period are calculated, the dynamic frequency signal data of the power grid are obtained through calculation according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error in combination with a preset dynamic frequency signal calculation model, the frequency measurement result of the power grid is determined based on the dynamic frequency signal data in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, and the existing technical problem that the power grid frequency calculation method is low in efficiency is solved through the power grid frequency calculation method at present, and the power grid frequency calculation efficiency is improved.
Referring to fig. 5, fig. 5 is a block diagram of an embodiment of a power grid frequency computing device according to the present application, including:
an obtaining module 501, configured to obtain a first measurement period and a second measurement period of a grid frequency; the first measurement period is greater than the second measurement period;
an error module 502, configured to calculate a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period;
a dynamic module 503, configured to calculate dynamic frequency signal data of the power grid according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result, and the second frequency measurement error, in combination with a preset dynamic frequency signal calculation model;
a result module 504, configured to determine a frequency measurement result of the power grid based on the dynamic frequency signal data in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result, and the second frequency measurement error.
In an alternative embodiment, the obtaining module 501 includes:
the high sperm module is used for acquiring a first measurement period of the power grid frequency by a high-precision slow measurement method;
and the low sperm module is used for acquiring a second measurement period of the power grid frequency by a low-precision rapid measurement method.
In an alternative embodiment, the preset dynamic frequency signal calculation model includes a first dynamic frequency signal calculation model and a second dynamic frequency signal calculation model; the dynamic module 503 includes:
the first calculation sub-module is used for inputting the first frequency measurement error, the second frequency measurement result and the second frequency measurement error into the first dynamic frequency signal calculation model when the value of the first frequency measurement result is larger than that of the second frequency measurement result, and calculating to obtain dynamic frequency signal data of the power grid;
and the second calculation sub-module is used for inputting the first frequency measurement result, the first frequency measurement error and the second frequency measurement error into the second dynamic frequency signal calculation model when the value of the first frequency measurement result is smaller than that of the second frequency measurement result, and calculating to obtain dynamic frequency signal data of the power grid.
In an alternative embodiment, the results module 504 includes:
a marking sub-module, configured to set a frequency dynamic mark based on the dynamic frequency signal data in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result, and the second frequency measurement error;
and the determining submodule is used for determining a frequency measurement method of the power grid and a frequency measurement result corresponding to the frequency measurement method based on the frequency dynamic mark.
The embodiment of the application also provides an electronic device, which comprises a memory and a processor, wherein the memory stores a computer program, and the computer program when executed by the processor causes the processor to execute the steps of the power grid frequency calculation method according to any embodiment.
The embodiment of the application also provides a computer storage medium, on which a computer program is stored, which when executed by the processor, implements the method for calculating the grid frequency according to any of the above embodiments.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments provided in the present application, it should be understood that the methods, apparatuses, electronic devices and storage media disclosed in the present application may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a readable storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned readable storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (6)
1. A method for calculating a grid frequency, comprising:
acquiring a first measurement period and a second measurement period of the power grid frequency; the first measurement period is greater than the second measurement period;
calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period;
according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, and in combination with a preset dynamic frequency signal calculation model, calculating to obtain dynamic frequency signal data of the power grid, wherein the method comprises the following steps:
when the value of the first frequency measurement result is larger than the value of the second frequency measurement result, inputting the first frequency measurement error, the second frequency measurement result and the second frequency measurement error into a first dynamic frequency signal calculation model, and calculating to obtain dynamic frequency signal data of the power grid;
when the value of the first frequency measurement result is smaller than that of the second frequency measurement result, inputting the first frequency measurement result, the first frequency measurement error and the second frequency measurement error into a second dynamic frequency signal calculation model, and calculating to obtain dynamic frequency signal data of the power grid;
the preset dynamic frequency signal calculation model comprises a first dynamic frequency signal calculation model and a second dynamic frequency signal calculation model;
the first dynamic frequency signal calculation model specifically comprises the following steps:
Sj 3 =Sc 2 -(d 1 +d 2 );
wherein Sj 3 Is a dynamic frequency signal of a power grid, sc 2 D is the second frequency measurement result 1 For the first frequency measurement error, d 2 Measuring an error for a second frequency;
the second dynamic frequency signal calculation model specifically comprises the following steps:
Sj 3 =Sc 1 +(d 1 +d 2 );
wherein Sj 3 Is a dynamic frequency signal of a power grid, sc 1 D, for the first frequency measurement result 1 For the first frequency measurement error, d 2 Measuring an error for a second frequency;
determining a frequency measurement of the power grid based on the dynamic frequency signal data in combination with the first frequency measurement, the first frequency measurement error, the second frequency measurement, and the second frequency measurement error, comprising:
based on the dynamic frequency signal data, setting a frequency dynamic mark by combining the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, specifically:
setting the frequency dynamic flag to 1 when the absolute value of the difference between the first measurement period and the second measurement period is greater than the sum of the first frequency measurement error and the second frequency measurement error; setting the frequency dynamic mark to 1 when the absolute value of the difference between the first measurement period and the dynamic frequency signal data is smaller than the first frequency measurement error; setting the frequency dynamic mark to 0 if the relation among the dynamic frequency signal data, the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error is not satisfied;
based on the frequency dynamic mark, determining a frequency measurement method of the power grid and a frequency measurement result corresponding to the frequency measurement method, and specifically:
when the frequency dynamic mark is set to be 1, determining to select a low-precision rapid measurement method, carrying out power grid frequency measurement, and determining a first frequency measurement result as a frequency measurement result; when the frequency dynamic mark is set to 0, a high-precision slow measurement method is determined to be selected, the power grid frequency measurement is carried out, and a second frequency measurement result is determined to be a frequency measurement result.
2. The method of calculating a grid frequency according to claim 1, wherein obtaining a first measurement period and a second measurement period of the grid frequency comprises:
acquiring a first measurement period of the power grid frequency by a high-precision slow measurement method;
and obtaining a second measurement period of the power grid frequency by a low-precision rapid measurement method.
3. A computing device for grid frequency, comprising:
the acquisition module is used for acquiring a first measurement period and a second measurement period of the power grid frequency; the first measurement period is greater than the second measurement period;
the error module is used for calculating a first frequency measurement error and a first frequency measurement result corresponding to the first measurement period, and a second frequency measurement error and a second frequency measurement result corresponding to the second measurement period;
the dynamic module is used for calculating dynamic frequency signal data of the power grid according to the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error and by combining a preset dynamic frequency signal calculation model; the dynamic module includes:
the first calculation sub-module is used for inputting the first frequency measurement error, the second frequency measurement result and the second frequency measurement error into a first dynamic frequency signal calculation model when the value of the first frequency measurement result is larger than that of the second frequency measurement result, and calculating to obtain dynamic frequency signal data of the power grid;
the second calculation sub-module is used for inputting the first frequency measurement result, the first frequency measurement error and the second frequency measurement error into a second dynamic frequency signal calculation model when the value of the first frequency measurement result is smaller than that of the second frequency measurement result, and calculating to obtain dynamic frequency signal data of the power grid;
the preset dynamic frequency signal calculation model comprises a first dynamic frequency signal calculation model and a second dynamic frequency signal calculation model;
the first dynamic frequency signal calculation model specifically comprises the following steps:
Sj 3 =Sc 2 -(d 1 +d 2 );
wherein Sj 3 Is a dynamic frequency signal of a power grid, sc 2 D is the second frequency measurement result 1 For the first frequency measurement error, d 2 Measuring an error for a second frequency;
the second dynamic frequency signal calculation model specifically comprises the following steps:
Sj 3 =Sc 1 +(d 1 +d 2 );
wherein Sj 3 Is a dynamic frequency signal of a power grid, sc 1 D, for the first frequency measurement result 1 For the first frequency measurement error, d 2 Measuring an error for a second frequency;
the result module is used for determining a frequency measurement result of the power grid based on the dynamic frequency signal data and combining the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error; the result module includes:
the marking sub-module is configured to set a frequency dynamic mark based on the dynamic frequency signal data in combination with the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error, and specifically:
setting the frequency dynamic flag to 1 when the absolute value of the difference between the first measurement period and the second measurement period is greater than the sum of the first frequency measurement error and the second frequency measurement error; setting the frequency dynamic mark to 1 when the absolute value of the difference between the first measurement period and the dynamic frequency signal data is smaller than the first frequency measurement error; setting the frequency dynamic mark to 0 if the relation among the dynamic frequency signal data, the first frequency measurement result, the first frequency measurement error, the second frequency measurement result and the second frequency measurement error is not satisfied;
the determining submodule is used for determining a frequency measurement method of the power grid and a frequency measurement result corresponding to the frequency measurement method based on the frequency dynamic mark, and specifically:
when the frequency dynamic mark is set to be 1, determining to select a low-precision rapid measurement method, carrying out power grid frequency measurement, and determining a first frequency measurement result as a frequency measurement result; when the frequency dynamic mark is set to 0, a high-precision slow measurement method is determined to be selected, the power grid frequency measurement is carried out, and a second frequency measurement result is determined to be a frequency measurement result.
4. A computing device for grid frequency according to claim 3, wherein the acquisition module comprises:
the high sperm module is used for acquiring a first measurement period of the power grid frequency by a high-precision slow measurement method;
and the low sperm module is used for acquiring a second measurement period of the power grid frequency by a low-precision rapid measurement method.
5. An electronic device comprising a processor and a memory storing computer readable instructions that, when executed by the processor, perform the method of any of claims 1-2.
6. A storage medium having stored thereon a computer program which, when executed by a processor, performs the method of any of claims 1-2.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106405230A (en) * | 2016-08-23 | 2017-02-15 | 北京德威特继保自动化科技股份有限公司 | Frequency measuring method and apparatus |
WO2018041997A1 (en) * | 2016-09-05 | 2018-03-08 | Gerd Bumiller | System and method for measuring the mains frequency and measurement variables, events and states of an electrical energy supply network which are derived therefrom |
CN108181505A (en) * | 2018-01-08 | 2018-06-19 | 广东电网有限责任公司电力科学研究院 | A kind of micro-capacitance sensor frequency method for real-time measurement and device based on prediction |
CN110829487A (en) * | 2019-10-22 | 2020-02-21 | 电子科技大学 | Dynamic frequency prediction method for power system |
CN112366729A (en) * | 2020-11-02 | 2021-02-12 | 北京用尚科技股份有限公司 | System and method for adaptively adjusting power load according to power grid frequency deviation |
CN113904329A (en) * | 2021-10-29 | 2022-01-07 | 山东大学 | Ultra-wideband large-scale dynamic harmonic and inter-harmonic real-time measurement method and system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10177574B2 (en) * | 2016-09-28 | 2019-01-08 | Nec Corporation | Dynamic frequency control scheme for microgrids using energy storage |
-
2022
- 2022-02-25 CN CN202210182023.3A patent/CN114529215B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106405230A (en) * | 2016-08-23 | 2017-02-15 | 北京德威特继保自动化科技股份有限公司 | Frequency measuring method and apparatus |
WO2018041997A1 (en) * | 2016-09-05 | 2018-03-08 | Gerd Bumiller | System and method for measuring the mains frequency and measurement variables, events and states of an electrical energy supply network which are derived therefrom |
CN108181505A (en) * | 2018-01-08 | 2018-06-19 | 广东电网有限责任公司电力科学研究院 | A kind of micro-capacitance sensor frequency method for real-time measurement and device based on prediction |
CN110829487A (en) * | 2019-10-22 | 2020-02-21 | 电子科技大学 | Dynamic frequency prediction method for power system |
CN112366729A (en) * | 2020-11-02 | 2021-02-12 | 北京用尚科技股份有限公司 | System and method for adaptively adjusting power load according to power grid frequency deviation |
CN113904329A (en) * | 2021-10-29 | 2022-01-07 | 山东大学 | Ultra-wideband large-scale dynamic harmonic and inter-harmonic real-time measurement method and system |
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