CN110707729A - Method and device for analyzing multi-region primary frequency modulation condition and storage medium - Google Patents
Method and device for analyzing multi-region primary frequency modulation condition and storage medium Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention discloses a method, a device and a storage medium for analyzing the condition of multi-region primary frequency modulation, wherein the method comprises the following steps: obtaining PMU data of each regional main station in an accident time period power system; the PMU data comprises frequency change data, power change data, line data and event action data of each main station; calculating beta indexes of each region according to power change data, line data and event action data corresponding to each accident key time node; the beta index is a primary frequency modulation capability index of the power system and each area in the power system; according to the beta index, the bearing proportion of each region in the accident time period is calculated, longitudinal comparison is carried out based on the bearing proportion of each region in the preset time period, and the primary frequency modulation action condition of each region is evaluated.
Description
Technical Field
The invention relates to the technical field of primary frequency modulation of power systems, in particular to a method and a device for analyzing the condition of multi-region primary frequency modulation and a storage medium.
Background
The fundamental purpose of the operation of the power system is to supply power to users on the premise of ensuring that the quality of the power meets the standard. Frequency is an important criterion for measuring the quality of electric energy. Because the power grid is a huge inertia system, when the active power of the power grid is in shortage, the rotor of the generator accelerates, the frequency of the power grid rises, and otherwise, the frequency of the power grid decreases. Therefore, it is difficult to ensure that the grid frequency is always constant, and it is only necessary to control the grid frequency within a certain range.
The primary frequency modulation refers to an automatic control process that once the frequency of the power grid deviates from a rated value, a control system of a unit in the power grid automatically controls the increase and decrease of the active power of the unit, limits the change of the power grid frequency and enables the power grid frequency to be stable. When the frequency of the power grid is increased, the primary frequency modulation function requires the unit to utilize the heat storage of the unit to quickly reduce the load, and otherwise, the unit quickly increases the load.
The primary frequency modulation function is one of means for dynamically ensuring the active power balance of the power grid. At present, a thermal power generating unit and a hydroelectric generating unit which mainly participate in primary frequency modulation of a power grid have the primary frequency modulation capability of the power grid due to partial wind power, photovoltaic and energy storage. At present, a power grid company makes relevant regulations on primary frequency modulation management, and has achieved good effects on the aspect of overall frequency control of a power grid. However, in a primary event, the action amount of the primary frequency modulation is borne by the whole network, and besides whether the overall frequency response is qualified, whether the action condition of each area of the whole network reaches the standard is also the key point to be examined. In the prior art, whether the stability requirement is met can be judged only from the overall frequency response of the system, the analysis of the primary frequency modulation action conditions of different areas in a primary event cannot be realized, and the improvement of the primary frequency modulation capability of each area is not facilitated.
Disclosure of Invention
The embodiment of the invention provides a method and a device for analyzing the condition of multi-region primary frequency modulation and a storage medium, which can effectively solve the problem that the prior art only carries out primary frequency modulation analysis on the frequency response condition of the whole power system and can realize accurate analysis of the capability of regional primary frequency modulation.
An embodiment of the present invention provides a method for analyzing a multi-region primary frequency modulation condition, including:
obtaining PMU data of each regional main station in an accident time period power system; the PMU data comprises frequency change data, power change data, line data and event action data of each main station;
determining accident key time nodes in the accident time period according to the frequency change data;
calculating beta indexes of each region according to the power change data, the line data and the event action data corresponding to each accident critical time node; wherein, the beta index is a primary frequency modulation capability index of the power system and each region therein;
and calculating the bearing proportion of each region in the accident time period according to the beta index, and longitudinally comparing the bearing proportions of each region in the preset time period based on the pre-acquired bearing proportions of each region to evaluate the primary frequency modulation action condition of each region.
As an improvement of the scheme, the accident key time nodes are the accident starting time, the accident middle frequency lowest point time and the accident post-frequency highest point time.
As an improvement of the above scheme, the calculating a β index of each area according to the power change data, the line data, and the event action data corresponding to each accident critical time node specifically includes:
judging the data type of the line data of each area; the data type is alternating current tie line data or direct current data;
based on the judgment result, calculating the total power variation in each region according to the power variation data corresponding to the accident starting time and the peak point restoring time of the post-accident frequency of each region; wherein the power change data includes a power change amount;
and calculating the beta index of each region according to the total power variation, the frequency variation data and the event action data in each region.
As an improvement of the above solution, the calculating, based on the determination result, a total power variation in each region according to power variation data corresponding to the time when the accident start time and the post-accident frequency of each region return to the highest point specifically includes:
when the judgment result is the alternating current tie line data, judging whether a line corresponding to the alternating current tie line data is an outgoing line;
when the line corresponding to the AC tie line data is the outgoing line, calculating the power variation corresponding to the accident starting time and the time when the post-accident frequency is restored to the highest point as the total power variation;
and when the line corresponding to the AC tie line data is not the outflow line, counting the opposite number of the power variation corresponding to the time when the accident starting moment and the frequency after the accident are recovered to the highest point into the total power variation.
As an improvement of the above solution, the calculating, based on the determination result, a total power variation in each region according to power variation data corresponding to the time when the accident start time and the post-accident frequency of each region return to the highest point specifically includes:
when the judgment result is the direct current data, judging whether the area where the direct current corresponding to the direct current data is located is a direct current receiving end;
when the area where the direct current corresponding to the direct current data is located is the direct current receiving end, counting the opposite number of the power variable quantity corresponding to the moment when the accident starts and the moment when the post-accident frequency recovers to the highest point into the total power variable quantity;
and when the area where the direct current corresponding to the direct current data is located is not the direct current receiving end, calculating the power variation corresponding to the accident starting moment and the moment when the post-accident frequency is restored to the highest point into the total power variation.
As an improvement of the above solution, the calculating a β index of each region according to the total power variation, the frequency variation data, and the event action data in each region specifically includes:
calculating the beta index according to equation (1):
wherein β is the β index, Δ P is the total power variation, and Δ f is the frequency variation in the frequency variation data.
As an improvement of the above scheme, the calculating, according to the β index, an assumed proportion of each area in the accident time period specifically includes:
calculating the bearing proportion of each area according to a formula (2):
wherein a is the charge ratio, betaiIs an index for β for region i. Another embodiment of the present invention correspondingly provides an apparatus for analyzing a multi-region primary frequency modulation condition, including:
the system comprises a PMU data acquisition module, a data processing module and a data processing module, wherein the PMU data acquisition module is used for acquiring PMU data of each regional main station in an electric power system in an accident time period; the PMU data comprises frequency change data, power change data, line data and event action data of each main station;
the accident key time node dividing module is used for determining an accident key time node in the accident time period according to the frequency change data;
the beta index calculation module is used for calculating beta indexes of all areas according to the power change data, the line data and the event action data corresponding to all accident key time nodes; wherein, the beta index is a primary frequency modulation capability index of the power system and each region therein;
and the evaluation module is used for calculating the bearing proportion of each area in the accident time period according to the beta index, and longitudinally comparing the bearing proportion of each area in the preset time period based on the pre-acquired bearing proportion of each area in the preset time period so as to evaluate the primary frequency modulation action condition of each area.
Compared with the prior art, the method and the device for analyzing the multi-region primary frequency modulation condition disclosed by the embodiment of the invention have the advantages that PMU data of each regional main station in an accident time period power system is obtained; the PMU data comprises frequency change data, power change data, line data and event action data of each main station; determining accident key time nodes in the accident time period according to the frequency change data; calculating beta indexes of each region according to the power change data, the line data and the event action data corresponding to each accident critical time node; wherein, the beta index is a primary frequency modulation capability index of the power system and each region therein; and calculating the bearing proportion of each region in the accident time period according to the beta index, and longitudinally comparing the bearing proportions of each region in the preset time period based on the pre-acquired bearing proportions of each region to evaluate the primary frequency modulation action condition of each region. The invention can effectively solve the problem that the prior art can only judge whether the system response meets the stability requirement or not and cannot analyze the primary frequency modulation action conditions of different areas in a primary event, can realize the identification of the primary frequency modulation action quantity of each area of the whole power system, realize the transverse comparison of the primary frequency modulation capacity of each area in primary time and the longitudinal comparison of the primary frequency modulation capacity of each area of a plurality of events, and can realize the accurate analysis of the primary frequency modulation capacity of the sub-area, thereby providing reliable reference for the improvement of the primary frequency modulation capacity of each area.
Another embodiment of the present invention provides an apparatus for analyzing a multi-region primary frequency modulation situation, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the computer program to implement the method for analyzing a multi-region primary frequency modulation situation according to the above-mentioned embodiment of the present invention.
Another embodiment of the present invention provides a storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, a device on which the computer-readable storage medium is located is controlled to execute the method for analyzing a multi-region primary frequency modulation condition according to the above-mentioned embodiment of the present invention.
Drawings
Fig. 1 is a schematic flowchart of a method for analyzing a multi-region primary frequency modulation condition according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an analysis apparatus for multi-region primary frequency modulation according to a second embodiment of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Example one
Referring to fig. 1, a schematic flow chart of a method for analyzing a multi-region primary frequency modulation condition according to an embodiment of the present invention is shown, where the method includes steps S101 to S104.
S101, obtaining PMU data of each regional main station in an accident time period power system; the PMU data comprises frequency change data, power change data, line data and event action data of each main station.
In this embodiment, to analyze the primary frequency modulation condition of each region, PMU data of each regional master station should be collected. Preferably, the PMU data also includes, but is not limited to, active data, reactive data, voltage data, current data, phase angle data. Thus, critical frequency variation data, power variation data, line data, and event action data are extracted from the PMU data. The line data includes ac link data and dc data.
And S102, determining accident key time nodes in the accident time period according to the frequency change data.
In this embodiment, the accident key time node is the accident starting time, the time when the frequency in the accident is the lowest point, and the time when the frequency after the accident is recovered to the highest point.
S103, calculating beta indexes of all areas according to the power change data, the line data and the event action data corresponding to all accident critical time nodes; wherein, the beta index is the primary frequency modulation capability index of the power system and each region therein.
The β index is a frequency response characteristic of the system, and reflects a relationship between a power variation and a frequency variation. In the invention, the method is used for quantitatively analyzing different regions in the system and the primary frequency modulation capability of the whole system. According to the invention, through two indexes of the beta index and the bearing proportion of the regions, the longitudinal comparison of the primary frequency modulation capability of the whole power system in different periods and the primary frequency modulation capability among different regions in a primary event is realized, and reference is provided for the improvement of the primary frequency modulation capability and the reasonable improvement of the distribution of the primary frequency modulation capability among the regions.
In an optional embodiment, the data type of the line data inside each area is judged; the data type is alternating current tie line data or direct current data;
based on the judgment result, calculating the total power variation in each region according to the power variation data corresponding to the accident starting time and the peak point restoring time of the post-accident frequency of each region; wherein the power change data includes a power change amount;
and calculating the beta index of each region according to the total power variation, the frequency variation data and the event action data in each region.
In addition, for a region where an event action does not occur, the total power variation of the region is obtained by combining ac link data and dc data. For the area where the event action occurs, the ac link data, the dc data, and the event action data are combined to obtain the total power variation of the area.
In an alternative embodiment, whether the line corresponding to the ac tie line data is an outgoing line is determined according to the structure of the power system and a predefined positive direction. Based on the judgment result, calculating the total power variation in each region according to the power variation data corresponding to the accident starting time and the peak time after the accident, specifically including:
when the judgment result is the alternating current tie line data, judging whether a line corresponding to the alternating current tie line data is an outgoing line;
when the line corresponding to the AC tie line data is the outgoing line, calculating the power variation corresponding to the accident starting time and the time when the post-accident frequency is restored to the highest point as the total power variation;
and when the line corresponding to the AC tie line data is not the outflow line, counting the opposite number of the power variation corresponding to the time when the accident starting moment and the frequency after the accident are recovered to the highest point into the total power variation.
In an optional embodiment, the calculating, based on the determination result, a total power variation in each region according to power variation data corresponding to the time when the accident starting time and the post-accident frequency of each region return to the highest point specifically includes:
when the judgment result is the direct current data, judging whether the area where the direct current corresponding to the direct current data is located is a direct current receiving end;
when the area where the direct current corresponding to the direct current data is located is the direct current receiving end, counting the opposite number of the power variable quantity corresponding to the moment when the accident starts and the moment when the post-accident frequency recovers to the highest point into the total power variable quantity;
and when the area where the direct current corresponding to the direct current data is located is not the direct current receiving end, calculating the power variation corresponding to the accident starting moment and the moment when the post-accident frequency is restored to the highest point into the total power variation.
In an alternative embodiment, the β -index is calculated according to equation (1):
wherein β is the β index, Δ P is the total power variation, and Δ f is the frequency variation in the frequency variation data. Preferably, the event action occurring in a region in an event can be represented by frequency change data. In the invention, considering that the actual system frequency fluctuation is in the order of 0.1Hz (the system operation requires the frequency to be stabilized between 49.5 Hz and 50.5 Hz), the events reaching the 1Hz level are extremely rare, and therefore, the calculation formula (1) contains 0.1.
And S104, calculating the bearing proportion of each region in the accident time period according to the beta index, and longitudinally comparing the bearing proportions of each region in the preset time period to evaluate the primary frequency modulation action condition of each region.
In an alternative embodiment, the bearing proportion of each region is calculated according to equation (2):
wherein a is the charge ratio, betaiIs the beta index, sigma, of region iiβiIs each regionThe sum of the beta indices of (a).
On the basis of the above embodiments, the analysis method of the multi-region primary frequency modulation situation is applied to an actual power grid, and the power grid includes a region 1, a region 2, a region 3, a region 4 and a region 5. The power system frequency starts from 50.012Hz (accident starting time), is reduced to 49.934Hz (accident middle frequency lowest point time), and then is restored to 49.965Hz (after accident frequency is restored to the highest point time). Furthermore, the PMU data of each region is analyzed, and it is found that the total power variation Δ P and β index of each region at this event are shown in table 1:
| region 1 | Region 2 | Region 3 | Region 4 | Region 5 | Full electric network | |
| ΔP(MW) | 214.06 | 128.54 | 201.3 | 26.4 | 29.7 | 600 |
| β(MW/0.1Hz) | 455.4 | 273.5 | 428.3 | 56.2 | 63.2 | 1276.6 |
| Actual bearing ratio | 35.68％ | 21.42％ | 33.55％ | 4.40％ | 4.95％ | 100.0％ |
Note that, taking the event action occurrence area 3 as an example, several tie line power changes in this area in the present event are shown in table 2:
the action conditions of each area of another event are obtained in advance and are shown in table 3:
| region 1 | Region 2 | Region 3 | Region 4 | Region 5 | Full electric network | |
| ΔPT(MW) | 357 | 201 | 98 | 0 | -2 | 654 |
| β(MW/0.1Hz) | 560 | 315 | 154 | 0 | -4 | 1025 |
| Actual bearing ratio | 54.6％ | 30.7％ | 15.0％ | 0.0％ | -0.3％ | 100％ |
By combining the table 1 and the table 3, the event is compared with another event, and the beta index of the event is improved by about 250MW/0.1Hz compared with the last event, which indicates that the primary frequency modulation capability of the system is enhanced. In addition, in the event, the proportion of the areas 3, 4 and 5 bearing the primary frequency modulation is increased, and the proportion of the areas 1 and 2 bearing the primary frequency modulation is decreased. Considering the load level and the power generation capacity of each region, the actual bearing proportion is approximately 40%/20%/30%/5%/5%, compared with the reasonable bearing proportion of each region in the event action, the method shows that the adjustment and the modification in the primary frequency modulation of the system between two events have certain effect.
According to the method and the device for analyzing the multi-region primary frequency modulation condition, PMU data of each regional main station in an accident time period power system are obtained; the PMU data comprises frequency change data, power change data and line data of each main station; determining accident key time nodes in the accident time period according to the frequency change data; calculating beta indexes of each region according to power change data corresponding to each accident critical time node and the line data; wherein, the beta index is a primary frequency modulation capability index of the power system and each region therein; and calculating the bearing proportion of each region in the accident time period according to the beta index, and longitudinally comparing the bearing proportions of each region in the preset time period based on the pre-acquired bearing proportions of each region to evaluate the primary frequency modulation action condition of each region. The invention can effectively solve the problem that the prior art can only judge whether the system response meets the stability requirement or not and cannot analyze the primary frequency modulation action conditions of different areas in a primary event, can realize the identification of the primary frequency modulation action quantity of each area of the whole power system, realize the transverse comparison of the primary frequency modulation capacity of each area in primary time and the longitudinal comparison of the primary frequency modulation capacity of each area of a plurality of events, and can realize the accurate analysis of the primary frequency modulation capacity of the sub-area, thereby providing reliable reference for the improvement of the primary frequency modulation capacity of each area.
Example two
Referring to fig. 2, a schematic structural diagram of an analysis apparatus for multi-region primary frequency modulation according to a second embodiment of the present invention is shown, including:
a PMU data obtaining module 201, configured to obtain PMU data of each regional master station in the electric power system during the accident period; the PMU data comprises frequency change data, power change data, line data and event action data of each main station;
an accident critical time node dividing module 202, configured to determine an accident critical time node within the accident time period according to the frequency change data;
a β index calculation module 203, configured to calculate a β index of each area according to the power change data, the line data, and the event action data corresponding to each accident critical time node; wherein, the beta index is a primary frequency modulation capability index of the power system and each region therein;
and the evaluation module 204 is configured to calculate the bearing proportion of each region in the accident time period according to the β index, and perform longitudinal comparison based on the bearing proportion of each region in a preset time period, so as to evaluate the primary frequency modulation action condition of each region.
Preferably, the accident key time nodes in the accident key time node division module are the accident starting time, the accident middle frequency lowest point time and the time when the post-accident frequency recovers to the highest point.
Preferably, the β index calculation module 203 includes:
a data type judging unit of the line data, which is used for judging the data type of the line data of each area; the data type is alternating current tie line data or direct current data;
the total power variation calculating unit in each area is used for calculating the total power variation in each area according to the power variation data corresponding to the accident starting time and the peak point restoring time of the post-accident frequency of each area based on the judgment result; wherein the power change data includes a power change amount;
and the beta index calculation unit is used for calculating the beta index of each region according to the total power variation, the frequency variation data and the event action data in each region.
Preferably, the β index calculation module 203 further includes:
an outgoing line judgment unit, configured to judge whether a line corresponding to the ac tie line data is an outgoing line when the judgment result is the ac tie line data;
a first total power variation unit, configured to, when a line corresponding to the ac tie line data is the outgoing line, count, into the total power variation, power variations corresponding to the accident start time and the time when the post-accident frequency recovers to the highest point;
and the second total power variation unit is used for counting the opposite number of the power variation corresponding to the time when the accident starting moment and the frequency after the accident is recovered to the highest point into the total power variation when the line corresponding to the alternating current tie line data is not the outflow line.
Preferably, the β index calculation module 203 further includes:
the direct current receiving end judging unit is used for judging whether an area where direct current corresponding to the direct current data is located is a direct current receiving end or not when the judging result is that the direct current data is the direct current data;
a third total power variation unit, configured to, when an area where the direct current corresponding to the direct current data is located is the direct current receiving end, count, into the total power variation, an inverse number of power variations corresponding to the time when the accident starts and the time when the post-accident frequency recovers to the highest point;
and the fourth total power variable quantity unit is used for counting the power variable quantity corresponding to the accident starting moment and the moment when the post-accident frequency is restored to the highest point into the total power variable quantity when the area where the direct current corresponding to the direct current data is located is not the direct current receiving end.
Preferably, the β index calculation module 203 further includes:
a β index formula calculation unit for calculating the β index according to formula (1):
wherein β is the β index, Δ P is the total power variation, and Δ f is the frequency variation in the frequency variation data.
Preferably, the evaluation module 204 includes:
calculating the bearing proportion of each area according to a formula (2):
wherein a is the charge ratio, betaiIs an index for β for region i.
The second embodiment of the present invention provides an apparatus for analyzing a multi-region primary frequency modulation condition, which is used to perform the steps of the method for analyzing a multi-region primary frequency modulation condition according to any one of the above embodiments, and working principles and beneficial effects of the two methods are in one-to-one correspondence, and thus are not described again.
The analysis device for the multi-region primary frequency modulation condition of the embodiment comprises: a processor, a memory and a computer program stored in said memory and executable on said processor, such as an analysis program for a multi-region chirp situation. The processor implements the steps in the above-described embodiments of the method for analyzing a multi-region primary frequency modulation situation when executing the computer program, for example, step S103 shown in fig. 1. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units in the above-mentioned device embodiments, for example, the β index calculation module 203.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program in the analysis apparatus for the multi-region primary frequency modulation situation.
The analysis device for the multi-region primary frequency modulation condition can be computing equipment such as a desktop computer, a notebook computer, a palm computer and a cloud server. The analysis device for the multi-region primary frequency modulation condition may include, but is not limited to, a processor and a memory. It will be understood by those skilled in the art that the schematic diagram is merely an example of the analysis apparatus for the multi-region primary frequency modulation case, and does not constitute a limitation to the analysis apparatus for the multi-region primary frequency modulation case, and may include more or less components than those shown in the figure, or combine some components, or different components, for example, the analysis apparatus for the multi-region primary frequency modulation case may further include an input/output device, a network access device, a bus, and the like.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general processor may be a microprocessor or the processor may be any conventional processor or the like, and the processor is a control center of the analysis apparatus for the multi-region primary frequency modulation condition, and various interfaces and lines are used to connect various parts of the analysis apparatus for the whole multi-region primary frequency modulation condition.
The memory can be used for storing the computer program and/or the module, and the processor realizes various functions of the analysis device of the multi-region primary frequency modulation condition by running or executing the computer program and/or the module stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein, the module/unit integrated with the multi-region primary frequency modulation condition analysis device can be stored in a computer readable storage medium if the module/unit is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method for analyzing the condition of multi-region primary frequency modulation is characterized by comprising the following steps:
obtaining PMU data of each regional main station in an accident time period power system; the PMU data comprises frequency change data, power change data, line data and event action data of each main station;
determining accident key time nodes in the accident time period according to the frequency change data;
calculating beta indexes of each region according to the power change data, the line data and the event action data corresponding to each accident critical time node; wherein, the beta index is a primary frequency modulation capability index of the power system and each region therein;
and calculating the bearing proportion of each region in the accident time period according to the beta index, and longitudinally comparing the bearing proportions of each region in the preset time period based on the pre-acquired bearing proportions of each region to evaluate the primary frequency modulation action condition of each region.
2. The method for analyzing multi-zone primary frequency modulation conditions according to claim 1, wherein the accident critical time nodes are the accident starting time, the accident middle frequency lowest point time and the accident post-frequency recovery highest point time.
3. The method according to claim 2, wherein the calculating β -indices for each of the regions based on the power change data, the line data, and the event action data corresponding to each of the accident critical time nodes comprises:
judging the data type of the line data of each area; the data type is alternating current tie line data or direct current data;
based on the judgment result, calculating the total power variation in each region according to the power variation data corresponding to the accident starting time and the peak point restoring time of the post-accident frequency of each region; wherein the power change data includes a power change amount;
and calculating the beta index of each region according to the total power variation, the frequency variation data and the event action data in each region.
4. The method for analyzing multi-zone primary frequency modulation conditions according to claim 3, wherein the calculating, based on the determination result, the total power variation in each zone according to the power variation data corresponding to the time when the accident starts and the time when the post-accident frequency recovers to the highest point in each zone specifically comprises:
when the judgment result is the alternating current tie line data, judging whether a line corresponding to the alternating current tie line data is an outgoing line;
when the line corresponding to the AC tie line data is the outgoing line, calculating the power variation corresponding to the accident starting time and the time when the post-accident frequency is restored to the highest point as the total power variation;
and when the line corresponding to the AC tie line data is not the outflow line, counting the opposite number of the power variation corresponding to the time when the accident starting moment and the frequency after the accident are recovered to the highest point into the total power variation.
5. The method for analyzing multi-zone primary frequency modulation conditions according to claim 3, wherein the calculating, based on the determination result, the total power variation in each zone according to the power variation data corresponding to the time when the accident starts and the time when the post-accident frequency recovers to the highest point in each zone specifically comprises:
when the judgment result is the direct current data, judging whether the area where the direct current corresponding to the direct current data is located is a direct current receiving end;
when the area where the direct current corresponding to the direct current data is located is the direct current receiving end, counting the opposite number of the power variable quantity corresponding to the moment when the accident starts and the moment when the post-accident frequency recovers to the highest point into the total power variable quantity;
and when the area where the direct current corresponding to the direct current data is located is not the direct current receiving end, calculating the power variation corresponding to the accident starting moment and the moment when the post-accident frequency is restored to the highest point into the total power variation.
6. The method according to claim 3, wherein the calculating β -index of each region according to the total power variation, the frequency variation data and the event action data in each region comprises:
calculating the beta index according to equation (1):
wherein β is the β index, Δ P is the total power variation, and Δ f is the frequency variation in the frequency variation data.
7. The method according to claim 1, wherein the calculating, according to the β -index, the proportion of each zone within the accident time period specifically comprises:
calculating the bearing proportion of each area according to a formula (2):
wherein a is the charge ratio, betaiIs an index for β for region i.
8. An apparatus for analyzing a multi-region primary frequency modulation condition, comprising:
the system comprises a PMU data acquisition module, a data processing module and a data processing module, wherein the PMU data acquisition module is used for acquiring PMU data of each regional main station in an electric power system in an accident time period; the PMU data comprises frequency change data, power change data, line data and event action data of each main station;
the accident key time node dividing module is used for determining an accident key time node in the accident time period according to the frequency change data;
the beta index calculation module is used for calculating beta indexes of all areas according to the power change data, the line data and the event action data corresponding to all accident key time nodes; wherein, the beta index is a primary frequency modulation capability index of the power system and each region therein;
and the evaluation module is used for calculating the bearing proportion of each area in the accident time period according to the beta index, and longitudinally comparing the bearing proportion of each area in the preset time period based on the pre-acquired bearing proportion of each area in the preset time period so as to evaluate the primary frequency modulation action condition of each area.
9. An apparatus for analyzing a multi-region chirp scenario, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the computer program being executable by the processor to implement the method for analyzing a multi-region chirp scenario of any one of claims 1 to 7.
10. A computer-readable storage medium, comprising a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method for analyzing a multi-zone primary frequency modulation situation according to any one of claims 1 to 7.
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| CN113361877A (en) * | 2021-05-24 | 2021-09-07 | 中广核研究院有限公司 | Statistical analysis method, device, equipment and medium for power grid frequency data |
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| CN112069653B (en) * | 2020-07-31 | 2024-05-10 | 南方电网科学研究院有限责任公司 | Method, device, equipment and storage medium for calculating regional spare capacity |
| CN113361877A (en) * | 2021-05-24 | 2021-09-07 | 中广核研究院有限公司 | Statistical analysis method, device, equipment and medium for power grid frequency data |
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