CN109103904B - Frequency stability determination method and device and electronic equipment - Google Patents
Frequency stability determination method and device and electronic equipment Download PDFInfo
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The invention relates to a frequency stability judging method, a frequency stability judging device and electronic equipment, and belongs to the technical field of power systems. The frequency stability judging method comprises the steps of acquiring corresponding bus frequency real-time data according to relevant characteristic parameters of a bus to be monitored; judging whether the real-time bus frequency data has frequency fluctuation or not; and when the bus frequency real-time data generates frequency fluctuation, determining the optimal control strategy of the frequency fluctuation based on the bus frequency real-time data and a preset control strategy table. The method can accurately and efficiently monitor the frequency stability condition in the power grid and give a control strategy in time when the frequency of the bus to be monitored fluctuates by analyzing and calculating the acquired real-time data of the bus frequency on line, can guarantee and improve the safety and stability of the power grid system, and has important significance for guiding the safe and stable operation of the actual power grid.
Description
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a frequency stability determination method and device and electronic equipment.
Background
With the development of power systems, the system scale and the power generation capacity are larger and larger, the voltage level and the automation level are higher and higher, the requirements of power users on the quality of electric energy are stricter and stricter, and the production of various industries also puts higher requirements on the frequency stability of the power systems. Therefore, frequency stability monitoring and control becomes one of the important tasks of power system operation.
With the expansion of the scale of a power grid and the capacity of a unit, the more complex power load characteristics and the increasingly diversified power grid control technology, the frequency fluctuation of the power grid frequently occurs, and the main control modes at present comprise primary frequency modulation, secondary frequency modulation, high-cycle frequency control, low-cycle frequency control and the like aiming at the frequency fluctuation. However, when the power grid frequency fluctuation range is large and the period is long, scheduling operators are required to perform manual calculation and manual control on offline data, and the defects of large calculation amount, much consumed time, untimely adjustment and the like exist, so that the power utilization quality of power users is affected, and unpredictable consequences such as machine damage are even caused.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus and an electronic device for determining frequency stability, so as to effectively solve the above problem.
The embodiment of the invention is realized by the following steps:
according to a first aspect, the embodiment of the invention provides a frequency stability judging method, which comprises the steps of obtaining corresponding bus frequency real-time data according to relevant characteristic parameters of a bus to be monitored; judging whether the real-time bus frequency data has frequency fluctuation or not; and when the bus frequency real-time data generates frequency fluctuation, determining the optimal control strategy of the frequency fluctuation based on the bus frequency real-time data and a preset control strategy table.
In an optional embodiment of the present invention, determining whether the bus frequency real-time data has frequency fluctuation includes: determining the frequency deviation of the current point according to the real-time bus frequency data and the standard frequency; when the frequency deviation is larger than a first threshold value or smaller than a second threshold value, whether a plurality of data points behind the current point continuously rise or continuously fall is judged, if yes, the bus frequency real-time data is shown to have frequency fluctuation, and if not, the bus frequency real-time data is shown not to have frequency fluctuation.
In an optional embodiment of the present invention, before determining whether the bus frequency real-time data has frequency fluctuation, the method further includes: and carrying out filtering processing on the bus frequency real-time data to obtain the bus frequency real-time data after filtering processing.
In an optional embodiment of the present invention, the preset control policy table includes frequency fluctuation simulation data and a corresponding control policy, and the determining an optimal control policy for the current frequency fluctuation based on the bus frequency real-time data and the preset control policy table includes: acquiring a first actual frequency value at a first moment after a fluctuation starting point, a first actual slope of a frequency curve at the first moment, a second actual frequency value at a second moment and a second actual slope of the frequency curve at the second moment based on the bus frequency real-time data; acquiring a first simulation frequency value of the first moment after a fluctuation starting point, a first simulation slope of a frequency simulation curve of the first moment, a second simulation frequency value of the second moment and a second simulation slope of the frequency simulation curve of the second moment based on the frequency fluctuation simulation data; obtaining a calculation result based on the first actual frequency value, the first actual slope, the second actual frequency value, the second actual slope, the first simulation frequency value, the first simulation slope, the second simulation frequency value, the second simulation slope and a preset mean square error multiple comparison method; and determining the optimal control strategy of the frequency fluctuation at this time according to the calculation result and the corresponding control strategy.
In an alternative embodiment of the invention, the method further comprises: and when the bus frequency real-time data has frequency fluctuation, recording the time of the frequency fluctuation, the related characteristic parameters, the bus frequency real-time data in the fluctuation process and the optimal control strategy.
In a second aspect, an embodiment of the present invention further provides a frequency stability determination apparatus, including: the acquisition module is used for acquiring corresponding bus frequency real-time data according to the relevant characteristic parameters of the bus to be monitored; the judging module is used for judging whether the real-time bus frequency data has frequency fluctuation; and the determining module is used for determining the optimal control strategy of the frequency fluctuation based on the real-time bus frequency data and a preset control strategy table when the frequency fluctuation of the real-time bus frequency data occurs.
In an optional embodiment of the present invention, the determining module is further configured to determine a frequency deviation of a current point according to the bus frequency real-time data and a standard frequency; and the bus frequency real-time data processing device is also used for judging whether a plurality of data points behind the current point continuously rise or continuously fall when the frequency deviation is larger than a first threshold value or smaller than a second threshold value, if so, indicating that the bus frequency real-time data has frequency fluctuation, and if not, indicating that the bus frequency real-time data has no frequency fluctuation.
In an alternative embodiment of the invention, the apparatus further comprises: and the filtering module is used for carrying out filtering processing on the bus frequency real-time data to obtain the bus frequency real-time data after the filtering processing.
In an optional embodiment of the present invention, the preset control policy table includes frequency fluctuation simulation data and a corresponding control policy, and the determining module is further configured to obtain, based on the bus frequency real-time data, a first actual frequency value at a first time after a fluctuation start point, a first actual slope of a frequency curve at the first time, a second actual frequency value at a second time, and a second actual slope of the frequency curve at the second time; the frequency fluctuation simulation data are used for acquiring a first simulation frequency value of the first moment after a fluctuation starting point, a first simulation slope of a frequency simulation curve of the first moment, a second simulation frequency value of the second moment and a second simulation slope of the frequency simulation curve of the second moment; the simulation system is further configured to obtain a calculation result based on the first actual frequency value, the first actual slope, the second actual frequency value, the second actual slope, the first simulation frequency value, the first simulation slope, the second simulation frequency value, the second simulation slope, and a preset multiple mean square error comparison method; and the optimal control strategy of the frequency fluctuation is determined according to the calculation result and the corresponding control strategy.
In an alternative embodiment of the invention, the apparatus further comprises: and the storage module is used for recording the time of frequency fluctuation, the related characteristic parameters, the bus frequency real-time data in the fluctuation process and the optimal control strategy when the bus frequency real-time data generates frequency fluctuation.
In a third aspect, an embodiment of the present invention further provides an electronic device, including: a memory and a processor, the memory and the processor connected; the memory is used for storing programs; the processor is used for calling the program stored in the memory to execute the method of the method embodiment.
The frequency stability judging method provided by the embodiment of the invention comprises the steps of acquiring corresponding bus frequency real-time data according to relevant characteristic parameters of a bus to be monitored; judging whether the real-time bus frequency data has frequency fluctuation or not; and when the bus frequency real-time data generates frequency fluctuation, determining the optimal control strategy of the frequency fluctuation based on the bus frequency real-time data and a preset control strategy table. The method can accurately and efficiently monitor the frequency stability condition in the power grid and give a control strategy in time when the frequency of the bus to be monitored fluctuates by analyzing and calculating the acquired real-time data of the bus frequency on line, can guarantee and improve the safety and stability of the power grid system, and has important significance for guiding the safe and stable operation of the actual power grid.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts. The above and other objects, features and advantages of the present invention will become more apparent from the accompanying drawings. Like reference numerals refer to like parts throughout the drawings. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention.
Fig. 1 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Fig. 2 shows a flowchart of a frequency stability determination method according to an embodiment of the present invention.
Fig. 3 shows a flowchart of step S103 in fig. 2 according to an embodiment of the present invention.
Fig. 4 is a block diagram illustrating a frequency stability determination apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It should be noted that the terms "first", "second", "third", and the like in the present embodiment are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
As shown in fig. 1, fig. 1 is a block diagram illustrating a structure of an electronic device 100 according to an embodiment of the present invention. The electronic device 100 includes: frequency stability determination device 110, memory 120, memory controller 130, and processor 140.
The memory 120, the memory controller 130, and the processor 140 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The frequency stability determining device 110 includes at least one software function module which can be stored in the memory 120 in the form of software or firmware (firmware) or is fixed in an Operating System (OS) of the electronic device 100. The processor 140 is configured to execute an executable module stored in the memory 120, such as a software functional module or a computer program included in the frequency stability determination apparatus 110.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 120 is configured to store a program, and the processor 140 executes the program after receiving an execution instruction, and a method executed by the electronic device 100 defined by a flow disclosed in any embodiment of the invention described later may be applied to the processor 140, or implemented by the processor 140.
The processor 140 may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In the embodiment of the present invention, the electronic Device 100 may be, but is not limited to, a Personal Computer (PC), a smart phone, a tablet PC, a Mobile Internet Device (MID), a Personal Digital Assistant (PDA), and other devices.
First embodiment
Referring to fig. 2, steps included in a method for determining frequency stability applied to the electronic device 100 according to an embodiment of the present invention will be described with reference to fig. 2.
Step S101: and acquiring corresponding bus frequency real-time data according to the relevant characteristic parameters of the bus to be monitored.
In the process of monitoring the change condition of the bus frequency in the power grid in real time, corresponding bus frequency real-time data is obtained according to relevant characteristic parameters of a bus to be monitored. Wherein, the relevant characteristic parameter of the busbar to be monitored includes: plant name, bus name, ID Measurement point of PMU (Phasor Measurement Unit), and other necessary information.
It should be noted that the frequency real-time data of the bus to be monitored, which is acquired by the present application, is derived from the D5000 platform, that is, is based on the wams (wide Area Measurement system) data of the D5000 platform. For example, the related characteristic parameters are derived from a bus bar information configuration table and a line configuration parameter table in the D5000 platform.
Step S102: and judging whether the bus frequency real-time data has frequency fluctuation.
After bus frequency real-time data of a bus to be monitored are acquired, whether the bus frequency real-time data generate frequency fluctuation is judged, if the bus frequency real-time data generate frequency fluctuation, the step S103 is executed, and if the bus frequency real-time data generate frequency fluctuation, monitoring is continued.
As an optional implementation, the determining whether the bus frequency real-time data has frequency fluctuation includes: determining the frequency deviation of the current point according to the real-time bus frequency data and the standard frequency; when the frequency deviation is larger than a first threshold value or smaller than a second threshold value, whether a plurality of data points behind the current point continuously rise or continuously fall is judged, if yes, the bus frequency real-time data is shown to have frequency fluctuation, and if not, the bus frequency real-time data is shown not to have frequency fluctuation. For example, when judging whether the bus frequency has frequency fluctuation, the actual frequency of the current point is recorded, and the frequency deviation of the current point is calculated by the actual frequency and the standard frequency. If the frequency deviation of the current point is larger than 0.1 or smaller than-0.1, continuously judging whether three data points behind the current point continuously rise or continuously fall, and using the method as the basis for generating frequency fluctuation. Wherein, the frequency fluctuation judging method:
Fη-Fα>ΔFγor Fη-Fα<-ΔFγ(ii) a In the formula FηRepresenting the actual frequency, FαRepresents standard frequency (the standard frequency of the system in China is 50Hz), and is delta FγIndicating the frequency deviation.
It should be noted that the above illustration is only an example for easy understanding, and the above 0.1 or-0.1 is not to be understood as a limitation to the first threshold or the second threshold in the present embodiment. The first threshold and the second threshold may be reasonably set according to actual needs, for example, the first threshold is set to 0.2, the second threshold is set to-0.2, or other values, such as the first threshold is 0.3, the second threshold is-0.3, and the like. Likewise, the three data points after the point illustrated in the present embodiment cannot be understood as a limitation to the present embodiment, which may be 4 data points, 5 data points, 6 data points, and the like after the point.
In addition, as an optional implementation manner, before determining whether the frequency fluctuation occurs in the bus frequency real-time data, the method further includes: and carrying out filtering processing on the bus frequency real-time data to obtain the bus frequency real-time data after filtering processing. That is, after the real-time bus frequency data is obtained, the data is preprocessed, and then whether frequency fluctuation occurs in the preprocessed data is judged. The preprocessing is to filter some measurement noise and spurious data (data with large deviation, for example, data with large difference is filtered when the standard frequency is 50Hz, because the fluctuation range of the frequency is small under normal conditions, data with large deviation cannot occur), so as to reduce the influence of the measurement noise and spurious data. As an alternative implementation mode, a first-order difference filtering method can be adopted to process the false data to realize a data preprocessing function. The first-order difference filtering method can only identify the false data and replace the false data with a more reasonable value under the condition of not changing the values of other sampling points so as to ensure the continuity and the reasonableness of the data.
Step S103: and determining the optimal control strategy of the frequency fluctuation at this time based on the bus frequency real-time data and a preset control strategy table.
And when the bus frequency real-time data generates frequency fluctuation, determining the optimal control strategy of the frequency fluctuation based on the bus frequency real-time data and a preset control strategy table. The preset control strategy table comprises frequency fluctuation simulation data and a corresponding control strategy, namely, the corresponding control strategy is made according to the frequency fluctuation simulation data tested in advance, and then the preset control strategy table is obtained according to the frequency fluctuation simulation data and the corresponding control strategy. Wherein, the preset control strategy table comprises a plurality of control strategies.
As an alternative embodiment, the process may be described based on the steps shown in fig. 3.
Step S201: and acquiring a first actual frequency value at a first moment after a fluctuation starting point, a first actual slope of a frequency curve at the first moment, a second actual frequency value at a second moment and a second actual slope of the frequency curve at the second moment based on the bus frequency real-time data.
When the bus frequency real-time data has frequency fluctuation, a first actual frequency value delayed for 0.5s after the bus frequency real-time data obtains a fluctuation starting point is recorded as F1The first actual slope of the frequency curve at this time (time 0.5 s) is denoted K1And a second actual frequency value delayed by 1s after the start of the fluctuation is denoted as F2The second actual slope of the frequency curve at this time (time 1 s) is denoted as K2。
Step S202: and acquiring a first simulation frequency value of the first moment after the fluctuation starting point, a first simulation slope of a frequency simulation curve of the first moment, a second simulation frequency value of the second moment and a second simulation slope of the frequency simulation curve of the second moment based on the frequency fluctuation simulation data.
And recording a first simulation frequency value of 0.5s of time delay after the fluctuation starting point is obtained based on the frequency fluctuation simulation data as FnThe first simulation slope is recorded as KnAnd the second simulation frequency value of the time delay 1s is recorded as FmThe second simulation slope is recorded as Km。
Step S203: and obtaining a calculation result based on the first actual frequency value, the first actual slope, the second actual frequency value, the second actual slope, the first simulation frequency value, the first simulation slope, the second simulation frequency value, the second simulation slope and a preset mean square error multiple comparison method.
Based on said first actual frequency value F1The first actual slope K1Said second actual frequency value F2The second actual slope K2The first simulated frequency value FnThe first simulation slope KnSaid second artificial frequency value FmThe second simulation slope KmAnd presetting a mean square error multiple comparison method to obtain a calculation result. Wherein, the preset mean square error multiple comparison method comprises the following steps:
step S204: and determining the optimal control strategy of the frequency fluctuation at this time according to the calculation result and the corresponding control strategy.
And after the calculation result is obtained, determining the optimal control strategy of the frequency fluctuation at this time according to the calculation result and the corresponding control strategy. The corresponding control strategy comprises a plurality of control strategies, namely different constant value ranges correspond to different control strategies. In this embodiment, the control strategy corresponding to the range is determined according to the range to which the calculation result belongs, that is, the optimal control strategy is found out from the plurality of control strategies.
As an optional implementation, the method further comprises: when the bus frequency real-time data has frequency fluctuation, recording frequency fluctuation time, the related characteristic parameters (necessary information such as plant station names, bus names, ID measuring points of PMUs and the like), the bus frequency real-time data in the fluctuation process and the optimal control strategy.
The embodiment of the present application further provides a frequency stability determination apparatus 110, as shown in fig. 4. The frequency stability determination device 110 includes: an acquisition module 111, a judgment module 112 and a determination module 113.
The obtaining module 111 is configured to obtain corresponding bus frequency real-time data according to the relevant characteristic parameters of the bus to be monitored.
And a judging module 112, configured to judge whether the bus frequency real-time data has frequency fluctuation.
The determining module 113 is configured to determine, when the bus frequency real-time data has a frequency fluctuation, an optimal control strategy for the frequency fluctuation based on the bus frequency real-time data and a preset control strategy table.
Furthermore, the apparatus further comprises: and the filtering module is used for carrying out filtering processing on the bus frequency real-time data to obtain the bus frequency real-time data after the filtering processing.
The device further comprises: and the storage module is used for recording the time of frequency fluctuation, the related characteristic parameters, the bus frequency real-time data in the fluctuation process and the optimal control strategy when the bus frequency real-time data generates frequency fluctuation.
Embodiments of the present invention further provide a storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the steps of the above method embodiments.
The defects existing in the above solutions are the results obtained after the inventor has practiced and studied carefully, so the discovery process of the above problems and the solutions proposed by the following embodiments of the present invention to the above problems should be the contribution of the inventor to the present invention in the process of the present invention.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other.
The frequency stability determination apparatus 110 provided in the embodiment of the present invention has the same implementation principle and technical effect as the foregoing method embodiments, and for brief description, reference may be made to the corresponding contents in the foregoing method embodiments for the parts that are not mentioned in the apparatus embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules 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 invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a notebook computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A method for determining frequency stability, comprising:
acquiring corresponding bus frequency real-time data according to relevant characteristic parameters of a bus to be monitored;
judging whether the real-time bus frequency data has frequency fluctuation or not;
when the bus frequency real-time data generates frequency fluctuation, determining an optimal control strategy of the frequency fluctuation based on the bus frequency real-time data and a preset control strategy table, wherein the preset control strategy table comprises frequency fluctuation simulation data and a corresponding control strategy, and the optimal control strategy of the frequency fluctuation based on the bus frequency real-time data and the preset control strategy table comprises the following steps:
acquiring a first actual frequency value at a first moment after a fluctuation starting point, a first actual slope of a frequency curve at the first moment, a second actual frequency value at a second moment and a second actual slope of the frequency curve at the second moment based on the bus frequency real-time data;
acquiring a first simulation frequency value of the first moment after a fluctuation starting point, a first simulation slope of a frequency simulation curve of the first moment, a second simulation frequency value of the second moment and a second simulation slope of the frequency simulation curve of the second moment based on the frequency fluctuation simulation data;
obtaining a calculation result based on the first actual frequency value, the first actual slope, the second actual frequency value, the second actual slope, the first simulation frequency value, the first simulation slope, the second simulation frequency value, the second simulation slope and a preset mean square error multiple comparison method;
and determining the optimal control strategy of the frequency fluctuation at this time according to the calculation result and the corresponding control strategy.
2. The method of claim 1, wherein determining whether the bus frequency real-time data has frequency fluctuation comprises:
determining the frequency deviation of the current point according to the real-time bus frequency data and the standard frequency;
when the frequency deviation is larger than a first threshold value or smaller than a second threshold value, whether a plurality of data points behind the current point continuously rise or continuously fall is judged, if yes, the bus frequency real-time data is shown to have frequency fluctuation, and if not, the bus frequency real-time data is shown not to have frequency fluctuation.
3. The method according to claim 1 or 2, wherein before determining whether the bus frequency real-time data has frequency fluctuation, the method further comprises:
and carrying out filtering processing on the bus frequency real-time data to obtain the bus frequency real-time data after filtering processing.
4. The method of claim 1, further comprising:
and when the bus frequency real-time data has frequency fluctuation, recording the time of the frequency fluctuation, the related characteristic parameters, the bus frequency real-time data in the fluctuation process and the optimal control strategy.
5. A frequency stability determination device, comprising:
the acquisition module is used for acquiring corresponding bus frequency real-time data according to the relevant characteristic parameters of the bus to be monitored;
the judging module is used for judging whether the real-time bus frequency data has frequency fluctuation;
a determining module, configured to determine, when the bus frequency real-time data has a frequency fluctuation, an optimal control policy of the frequency fluctuation based on the bus frequency real-time data and a preset control policy table, where the preset control policy table includes frequency fluctuation simulation data and a corresponding control policy, and the determining module is further configured to:
acquiring a first actual frequency value at a first moment after a fluctuation starting point, a first actual slope of a frequency curve at the first moment, a second actual frequency value at a second moment and a second actual slope of the frequency curve at the second moment based on the bus frequency real-time data;
acquiring a first simulation frequency value of the first moment after a fluctuation starting point, a first simulation slope of a frequency simulation curve of the first moment, a second simulation frequency value of the second moment and a second simulation slope of the frequency simulation curve of the second moment based on the frequency fluctuation simulation data;
obtaining a calculation result based on the first actual frequency value, the first actual slope, the second actual frequency value, the second actual slope, the first simulation frequency value, the first simulation slope, the second simulation frequency value, the second simulation slope and a preset mean square error multiple comparison method;
and determining the optimal control strategy of the frequency fluctuation at this time according to the calculation result and the corresponding control strategy.
6. The device of claim 5, wherein the determining module is further configured to determine a frequency deviation of the current point according to the bus frequency real-time data and a standard frequency; and the bus frequency real-time data processing device is also used for judging whether a plurality of data points behind the current point continuously rise or continuously fall when the frequency deviation is larger than a first threshold value or smaller than a second threshold value, if so, indicating that the bus frequency real-time data has frequency fluctuation, and if not, indicating that the bus frequency real-time data has no frequency fluctuation.
7. The apparatus of claim 5, further comprising: and the filtering module is used for carrying out filtering processing on the bus frequency real-time data to obtain the bus frequency real-time data after the filtering processing.
8. The apparatus of claim 5, further comprising: and the storage module is used for recording the time of frequency fluctuation, the related characteristic parameters, the bus frequency real-time data in the fluctuation process and the optimal control strategy when the bus frequency real-time data generates frequency fluctuation.
9. An electronic device, comprising: a memory and a processor, the memory and the processor connected;
the memory is used for storing programs;
the processor is configured to invoke a program stored in the memory to perform the method of any of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811204922.9A CN109103904B (en) | 2018-10-16 | 2018-10-16 | Frequency stability determination method and device and electronic equipment |
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| CN201811204922.9A CN109103904B (en) | 2018-10-16 | 2018-10-16 | Frequency stability determination method and device and electronic equipment |
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| CN109103904B true CN109103904B (en) | 2020-11-27 |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242298A (en) * | 2014-07-17 | 2014-12-24 | 浙江大学 | Frequency control method for islanding alternating-current micro-grid of full-distributed type structure |
| CN104993502A (en) * | 2015-07-31 | 2015-10-21 | 国家电网公司 | Primary frequency modulation realization method in power closed loop mode and device thereof |
| CN105870973A (en) * | 2016-06-16 | 2016-08-17 | 东北电力大学 | Capacity allocation method of energy storage system to meet frequency modulation demand of high-wind-power-permeability system |
| CN107086604A (en) * | 2017-06-07 | 2017-08-22 | 明阳智慧能源集团股份公司 | A kind of wind power generating set fast frequency hopping control method |
| CN108321822A (en) * | 2018-02-28 | 2018-07-24 | 湖南大学 | A kind of short-term power grid frequency modulation control method and system based on energy-storage battery |
-
2018
- 2018-10-16 CN CN201811204922.9A patent/CN109103904B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104242298A (en) * | 2014-07-17 | 2014-12-24 | 浙江大学 | Frequency control method for islanding alternating-current micro-grid of full-distributed type structure |
| CN104993502A (en) * | 2015-07-31 | 2015-10-21 | 国家电网公司 | Primary frequency modulation realization method in power closed loop mode and device thereof |
| CN105870973A (en) * | 2016-06-16 | 2016-08-17 | 东北电力大学 | Capacity allocation method of energy storage system to meet frequency modulation demand of high-wind-power-permeability system |
| CN107086604A (en) * | 2017-06-07 | 2017-08-22 | 明阳智慧能源集团股份公司 | A kind of wind power generating set fast frequency hopping control method |
| CN108321822A (en) * | 2018-02-28 | 2018-07-24 | 湖南大学 | A kind of short-term power grid frequency modulation control method and system based on energy-storage battery |
Non-Patent Citations (2)
| Title |
|---|
| Study on an Improved DC Voltage Slope Control Strategy for VSC-MTDC;Jiang Bin-kai;《 International Conference on Power and Energy Systems》;20171231;第57-61页 * |
| 多端电压源型直流互联系统频率稳定性控制策略;胡益等;《电力系统自动化》;20170525;第51-57页 * |
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