A method and system for controlling electric power equipment

Abstract

The present invention discloses a method and system for regulating electric power equipment, the method comprising: obtaining historical daily load data, historical meteorological data and real-time load data of a target area; filtering out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data; wherein the special events include meteorological disaster events and non-meteorological disaster events; determining the reference date corresponding to each special event according to the historical meteorological data and the first historical daily load data; obtaining the daily load change of each special event according to the first historical daily load data and the second historical daily load data of the reference day; when it is detected that the real-time load data matches the first historical daily load data of any special event, obtaining the target daily load change of the special event, and regulating the electric power equipment in the target area. The present invention can accurately and timely regulate the electric power equipment when a special event is detected.

Description

Technical Field

[0001] The present invention relates to the technical field of power analysis, and in particular to a method and system for controlling power equipment. Background Art

[0002] With the rapid development of the national economy, the demand for electricity in daily life and production is also increasing. In order to avoid insufficient power supply, it is necessary to regulate power equipment based on the power demand in different time periods. However, special events occurring in daily life will cause abnormal changes in power demand in the short term. Special events include holidays, large-scale public events, meteorological disasters, emergencies, etc. For example, when the temperature drops sharply, the power demand for heating equipment will increase; when storm disasters or blizzards occur, power supply will be interrupted in some areas, while the power demand in other areas will increase.

[0003] Existing technologies usually evaluate changes in electricity demand after a special event occurs, thereby regulating power equipment. However, special event data used to evaluate power demand are difficult to obtain in a short period of time, and the impact of meteorological factors on short-term power demand cannot be considered. As a result, when a special event occurs, it is difficult for existing technologies to accurately and timely regulate power equipment. Summary of the invention

[0004] The present invention provides a method and system for regulating electric equipment to solve the technical problem in the prior art that it is difficult to accurately and timely regulate electric equipment when a special event occurs.

[0005] In order to solve the above technical problems, a first aspect of an embodiment of the present invention provides a method for controlling an electric power device, comprising:

[0006] Obtain historical daily load data, historical meteorological data, and real-time load data for the target area;

[0007] According to the historical meteorological data, the first historical daily load data under different special events are screened out from the historical daily load data; wherein the special events include meteorological disaster events and non-meteorological disaster events;

[0008] Determining a reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data;

[0009] According to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data, obtaining the daily load change corresponding to each of the special events;

[0010] When it is detected that the real-time load data matches the first historical day load data of any special event, the target day load change corresponding to the any special event is obtained, and the power equipment in the target area is regulated according to the target day load change.

[0011] As a preferred solution, the first historical daily load data under different special events is selected from the historical daily load data according to the historical meteorological data, specifically including:

[0012] When it is detected that the historical meteorological data in any historical time period meets the preset meteorological disaster judgment condition, the daily load data of the any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the meteorological disaster event.

[0013] As a preferred solution, the first historical daily load data under different special events is selected from the historical daily load data according to the historical meteorological data, specifically including:

[0014] When it is detected based on the historical daily load data that the load change rate per unit time in any historical time period is greater than the preset rate threshold, and the historical meteorological data in any historical time period does not meet the preset meteorological disaster judgment conditions, the daily load data of any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the non-meteorological disaster event.

[0015] As a preferred solution, determining the reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data specifically includes:

[0016] When the special event is the meteorological disaster event, according to the meteorological disaster event occurrence period corresponding to the first historical daily load data, the week before the meteorological disaster event occurrence period is used as the reference date corresponding to the special event;

[0017] When the special event is the non-meteorological disaster event, according to the time period of the non-meteorological disaster event corresponding to the historical meteorological data and the first historical daily load data, the Euclidean distance method is used to obtain several historical days before the time period of the non-meteorological disaster event, whose meteorological data matches the meteorological data of any day within the time period of the non-meteorological disaster event, and the historical days are used as the base days corresponding to the special event.

[0018] As a preferred solution, the method of using the Euclidean distance method to obtain several historical days whose meteorological data before the non-meteorological disaster event occurs and which match the meteorological data of any day during the non-meteorological disaster event period, and using the historical days as the reference days corresponding to the special event, specifically includes:

[0019] Using the Euclidean distance method, respectively obtain the total Euclidean distance between the meteorological data of each historical day before the non-meteorological disaster event occurs and the meteorological data of any day during the non-meteorological disaster event occurs;

[0020] The historical day with the smallest total Euclidean distance is determined as the historical day on which the meteorological data matches the meteorological data of any one day, and the historical day with the smallest total Euclidean distance is used as the reference day corresponding to the special event.

[0021] As a preferred solution, obtaining the daily load change corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data specifically includes:

[0022] When the special event is the meteorological disaster event, performing arithmetic averaging on the second historical daily load data of a number of the reference days to obtain the reference day load data;

[0023] The daily load change corresponding to the special event is determined according to the difference between the first historical daily load data and the reference daily load data.

[0024] As a preferred solution, obtaining the daily load change corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data specifically includes:

[0025] When the special event is the non-meteorological disaster event, the daily load changes during the period when the non-meteorological disaster event occurs are determined based on the difference between the first historical daily load data of any day during the period when the non-meteorological disaster event occurs and the second historical daily load data of the reference day whose meteorological data matches the meteorological data of any day, and used as the daily load changes corresponding to the special event.

[0026] As a preferred embodiment, the method further comprises:

[0027] Determine the daily load data collection interval and the occurrence period of any special event according to the first historical day load data under any special event;

[0028] Determine the daily power consumption change according to the load data collection interval and the target daily load change;

[0029] The total power consumption change is determined based on the daily power consumption change and the occurrence time period.

[0030] As a preferred solution, regulating the power equipment in the target area according to the load change of the target day specifically includes:

[0031] According to the daily power consumption change and the total power consumption change, the power equipment in the target area is regulated according to the daily load change.

[0032] A second aspect of an embodiment of the present invention provides an electric power equipment control system, including:

[0033] A data acquisition module is used to obtain historical daily load data, historical meteorological data and real-time load data of the target area;

[0034] A special event load data screening module is used to screen out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data; wherein the special events include meteorological disaster events and non-meteorological disaster events;

[0035] A special event reference date determination module, used to determine the reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data;

[0036] A special event load change analysis module, used to obtain daily load changes corresponding to each of the special events based on the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data;

[0037] The power equipment control module is used to obtain the target day load change corresponding to any special event when it is detected that the real-time load data matches the first historical day load data of any special event, and control the power equipment in the target area according to the target day load change.

[0038] Compared with the prior art, the beneficial effect of the embodiments of the present invention is that by utilizing historical daily load data to analyze the daily load changes during various meteorological disaster events and non-meteorological disaster events, the impact of meteorological factors on short-term electricity demand can be fully considered. Therefore, when a special event is detected, the power equipment can be accurately and timely regulated directly based on the analyzed daily load changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1is a flow chart of a method for controlling power equipment in an embodiment of the present invention;

[0040] Figure 2 It is a structural schematic diagram of the power equipment control system in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 According to a first aspect of an embodiment of the present invention, there is provided a method for controlling an electric power device, comprising the following steps S1 to S5:

[0043] Step S1, obtaining historical daily load data, historical meteorological data and real-time load data of the target area;

[0044] Step S2, based on the historical meteorological data, filtering out the first historical daily load data under different special events from the historical daily load data; wherein the special events include meteorological disaster events and non-meteorological disaster events;

[0045] Step S3, determining a reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data;

[0046] Step S4, obtaining daily load changes corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data;

[0047] Step S5, when it is detected that the real-time load data matches the first historical day load data of any special event, the target day load change corresponding to the any special event is obtained, and the power equipment in the target area is regulated according to the target day load change.

[0048] Specifically, this embodiment first obtains historical daily load data, historical meteorological data and real-time load data of the target area. In one optional embodiment, the historical meteorological data includes meteorological data such as temperature, humidity, wind speed, sunshine hours, rainfall, snowfall, etc. for each historical day, which is not specifically limited in this embodiment.

[0049] Furthermore, in order to fully consider the impact of meteorological factors on short-term electricity demand when regulating power equipment, this embodiment can identify meteorological disaster events and non-meteorological disaster events based on historical meteorological data, thereby being able to filter out the first historical day load data under meteorological disaster events and the first historical day load data under non-meteorological disaster events from the historical daily load data.

[0050] Furthermore, in order to accurately obtain the daily load changes when special events occur, this embodiment needs to determine the base date corresponding to each special event to reflect the daily load conditions before the special event occurs, and determine the daily load changes of each special event based on the first historical daily load data under each special event and the second historical daily load data of the base date.

[0051] Furthermore, considering that the occurrence of special events will cause abnormal changes in power demand in a short period of time, the daily load curve will have abnormal sudden rise or fall, so when it is detected that the real-time load data matches the first historical daily load data of any special event, for example, the load curve corresponding to the real-time load data can be analyzed for overlap with the load curve corresponding to each first historical daily load data. If the overlap is greater than the preset overlap threshold, it is determined that the real-time load data matches the current first historical daily load data, indicating that a special event is currently occurring. Since the above steps have analyzed the daily load changes of each special event, there is no need to evaluate the power demand again, and the power equipment can be directly regulated according to the target daily load changes of the matching special event. It can be understood that the target daily load change determines the load change at each moment during the occurrence of the special event, so that load scheduling can be performed based on the load change, for example, more power generation equipment is started or the output of the power generation equipment is increased at the peak load to cope with the sudden increase in load, and some power generation equipment is stopped or the output of the power generation equipment is reduced at the trough load to reduce energy waste and meet the power demand at different times. In addition, the energy storage system can also be scheduled, that is, it can be used to release electricity during peak load periods to alleviate the power supply pressure of power generation equipment, and store excess electricity during low load periods for use during subsequent peak load periods, thereby reducing electricity waste.

[0052] The power equipment control method provided in the embodiment of the present invention can fully consider the impact of meteorological factors on short-term power demand by utilizing historical daily load data to analyze the daily load changes during various meteorological disaster events and non-meteorological disaster events. Therefore, when a special event is detected, the power equipment can be accurately and timely controlled directly based on the analyzed daily load changes.

[0053] As a preferred solution, the first historical daily load data under different special events is selected from the historical daily load data according to the historical meteorological data, specifically including:

[0054] When it is detected that the historical meteorological data in any historical time period meets the preset meteorological disaster judgment condition, the daily load data of the any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the meteorological disaster event.

[0055] Specifically, since historical meteorological data includes meteorological data such as temperature, humidity, wind speed, sunshine hours, rainfall, snowfall, etc., it is possible to set abnormal thresholds of relevant meteorological indicators in the preset meteorological disaster judgment conditions to determine whether there are meteorological disasters such as heavy rain, heavy snow, cold wave, extreme heat, high temperature, strong wind, thunderstorm, etc. In addition, when a meteorological disaster occurs, the national or local meteorological bureau usually releases relevant meteorological disaster information, so historical meteorological data can also include meteorological disaster information in different historical time periods. When any meteorological disaster information is detected in any historical time period, it is determined that the preset meteorological disaster judgment conditions are met. It is worth noting that the historical time period here can be any time period in a historical day, a historical week or a historical day, and what is obtained in this embodiment is the daily load data corresponding to the historical time period. For example, assuming that the historical time period is September 1, the daily load data of September 1 is obtained; if the historical time period is from September 1 to September 4, the daily load data from September 1 to September 4 is obtained; if the historical time period is 13:00~14:00 on September 1, the daily load data of September 1 is obtained. This embodiment will not be elaborated here.

[0056] As a preferred solution, the first historical daily load data under different special events is selected from the historical daily load data according to the historical meteorological data, specifically including:

[0057] When it is detected based on the historical daily load data that the load change rate per unit time in any historical time period is greater than the preset rate threshold, and the historical meteorological data in any historical time period does not meet the preset meteorological disaster judgment conditions, the daily load data of any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the non-meteorological disaster event.

[0058] Specifically, since the occurrence of special events will cause abnormal changes in electricity demand in a short period of time, non-meteorological disaster events, such as large-scale public activities, epidemics or holidays, will cause a sudden increase in electricity demand. Therefore, when this embodiment detects that the load change rate per unit time in any historical time period is greater than the preset rate threshold, and the historical meteorological data in the historical time period does not meet the preset meteorological disaster judgment conditions, it is determined that a special event that is a non-meteorological disaster has occurred in the historical time period, and the corresponding daily load data is obtained as the first historical daily load data under the non-meteorological disaster event.

[0059] As a preferred solution, determining the reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data specifically includes:

[0060] When the special event is the meteorological disaster event, according to the meteorological disaster event occurrence period corresponding to the first historical daily load data, the week before the meteorological disaster event occurrence period is used as the reference date corresponding to the special event;

[0061] When the special event is the non-meteorological disaster event, according to the time period of the non-meteorological disaster event corresponding to the historical meteorological data and the first historical daily load data, the Euclidean distance method is used to obtain several historical days before the time period of the non-meteorological disaster event, whose meteorological data matches the meteorological data of any day within the time period of the non-meteorological disaster event, and the historical days are used as the base days corresponding to the special event.

[0062] Specifically, when the special event is a meteorological disaster event, it indicates that the special event will have an impact on the weather. Therefore, this embodiment uses the week before the meteorological disaster event as the base date corresponding to the special event that belongs to the meteorological disaster, so as to fully consider the impact of meteorological factors on short-term electricity demand and improve the accuracy of the assessment of daily load changes.

[0063] Furthermore, since non-meteorological disaster events will not affect the weather, and thus the daily load change is less affected by meteorological factors, this embodiment uses the Euclidean distance method to select several historical days whose meteorological data are most similar to the meteorological data during the non-meteorological disaster event period before the non-meteorological disaster event period as the reference days corresponding to the special events belonging to non-meteorological disasters, so as to avoid the interference of meteorological factors and ensure the accuracy of the assessment of daily load changes. Among them, each day in the non-meteorological disaster event period has a corresponding reference day.

[0064] As a preferred solution, the method of using the Euclidean distance method to obtain several historical days whose meteorological data before the non-meteorological disaster event occurs and which match the meteorological data of any day during the non-meteorological disaster event period, and using the historical days as the reference days corresponding to the special event, specifically includes:

[0065] Using the Euclidean distance method, respectively obtain the total Euclidean distance between the meteorological data of each historical day before the non-meteorological disaster event occurs and the meteorological data of any day during the non-meteorological disaster event occurs;

[0066] The historical day with the smallest total Euclidean distance is determined as the historical day on which the meteorological data matches the meteorological data of any one day, and the historical day with the smallest total Euclidean distance is used as the reference day corresponding to the special event.

[0067] It is worth noting that for non-meteorological disaster events, this embodiment can select one or more meteorological data for base date analysis, and the selected meteorological data include one or more of temperature, humidity, wind speed and sunshine hours, and other meteorological data can also be selected to calculate the Euclidean distance, which is not specifically limited in this embodiment. It can be understood that the more meteorological data selected, the more matching the obtained base date. Specifically, using the Euclidean distance method, the Euclidean distance between each meteorological data of each historical day and each meteorological data of any day in the non-meteorological disaster event period before the non-meteorological disaster event occurs can be calculated. For example, if the selected meteorological data is temperature and humidity, the Euclidean distance between the temperature data of each historical day and the temperature data of any day in the non-meteorological disaster event period is calculated, and the Euclidean distance between the humidity data of each historical day and the humidity data of any day in the non-meteorological disaster event period is calculated. Furthermore, the Euclidean distances of the various meteorological data are summed to determine the total Euclidean distance. The smaller the total Euclidean distance, the more similar the meteorological data of the historical day is to the meteorological data of one of the days during the period when the non-meteorological disaster event occurred, thereby being able to determine the base day corresponding to each day during the period when the non-meteorological disaster event occurred.

[0068] As a preferred solution, obtaining the daily load change corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data specifically includes:

[0069] When the special event is the meteorological disaster event, performing arithmetic averaging on the second historical daily load data of a number of the reference days to obtain the reference day load data;

[0070] The daily load change corresponding to the special event is determined according to the difference between the first historical daily load data and the reference daily load data.

[0071] Specifically, this embodiment calculates the base day load data by the following expression:

[0072] ;

[0073] in, Indicates Base day load data at the time; Indicates the total number of base dates; Indicates Day base date The load data at the moment is obtained from the load data of the second historical day.

[0074] It can be understood that the daily load data includes the load data at each time of the day, so this embodiment determines the daily load change of the special event belonging to the meteorological disaster through the following expression:

[0075] ;

[0076] in, Indicates the load data of the first historical day corresponding to the meteorological disaster event during the period of occurrence. Tianzhongdi Load change value at the moment; Indicates the number of days during which a meteorological disaster occurs. Tianzhongdi The load data at the moment is obtained from the load data of the first historical day.

[0077] It is understandable that the parameters in the above expression The value of is determined by the preset load data collection interval. For example, if the load data collection interval is 15 minutes, there are 96 load data in a day. The value can be from 1 to 96.

[0078] As one of the optional embodiments, this embodiment can further divide the first historical daily load data and the second historical daily load data into the first historical daily load data and the second historical daily load data of different industries. Considering that in a special event, the daily load changes of different industries may be different, the accuracy of power equipment regulation can be further improved by obtaining the daily load changes of different industries. Specifically, this embodiment calculates the base daily load data of different industries through the following expression:

[0079] ;

[0080] in, Indicates The industry's Base day load data at the time; Indicates the total number of base dates; Indicates Day base date The industry's The load data at the moment can also be directly obtained from the load data of the second historical day.

[0081] Furthermore, the daily load changes of different industries under special events belonging to meteorological disasters are calculated by the following expression:

[0082] ;

[0083] in, Indicates the load data of the first historical day corresponding to the meteorological disaster event during the period of occurrence. Tianzhongdi The industry's Load change value at the moment; Indicates the number of days during which a meteorological disaster occurs. Tianzhongdi The industry's The load data at the moment can also be directly obtained from the load data of the first historical day.

[0084] As a preferred solution, obtaining the daily load change corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data specifically includes:

[0085] When the special event is the non-meteorological disaster event, the daily load changes during the period when the non-meteorological disaster event occurs are determined based on the difference between the first historical daily load data of any day during the period when the non-meteorological disaster event occurs and the second historical daily load data of the reference day whose meteorological data matches the meteorological data of any day, and used as the daily load changes corresponding to the special event.

[0086] Specifically, this embodiment obtains the daily load change corresponding to the special event belonging to non-meteorological disasters through the following expression:

[0087] ;

[0088] in, Indicates the load data of the first historical day corresponding to the non-meteorological disaster event during the period of occurrence. Tianzhongdi Load change value at the moment; Indicates the period during which non-meteorological disaster events occur. Tianzhongdi The load data at the moment is obtained from the load data of the first historical day; Indicates Day base date Load data at the moment.

[0089] As one of the optional embodiments, this embodiment can further divide the first historical daily load data and the second historical daily load data into the first historical daily load data and the second historical daily load data of different industries, so as to calculate the daily load changes of different industries under special events belonging to non-meteorological disasters through the following expression:

[0090] ;

[0091] in, Indicates the load data of the first historical day corresponding to the non-meteorological disaster event during the period of occurrence. Tianzhongdi The industry's Load change value at the moment; Indicates the period during which non-meteorological disaster events occur. Tianzhongdi The industry's The load data at the moment is obtained from the load data of the first historical day; Indicates Day base date The industry's Load data at the moment.

[0092] As a preferred embodiment, the method further comprises:

[0093] Determine the daily load data collection interval and the occurrence period of any special event according to the first historical day load data under any special event;

[0094] Determine the daily power consumption change according to the load data collection interval and the target daily load change;

[0095] The total power consumption change is determined based on the daily power consumption change and the occurrence time period.

[0096] Specifically, the power load is usually instantaneous power, measured in kilowatts (kW), while the power is the energy consumed, measured in kilowatt-hours (kWh). The power is obtained based on the integration of the load over time. In actual situations, the load is obtained as discrete data obtained through sampling, so the numerical integration method is used to approximate the power. Therefore, the daily power changes corresponding to special events belonging to meteorological disasters are shown in the following expression:

[0097] ;

[0098] The daily power consumption changes corresponding to special events that are not meteorological disasters are shown in the following expression:

[0099] ;

[0100] in, Indicates the number of special events corresponding to meteorological disasters. Daily electricity consumption changes; Indicates the number of special events that are not meteorological disasters. Daily electricity consumption changes; Indicates the load data collection interval. If the load data collection interval is 15 minutes, then .

[0101] Furthermore, according to the time period when the special event occurs, the total number of days the special event occurs can be determined, and by summing up the daily power changes corresponding to the special event, the total power changes under the special event can be determined.

[0102] As one of the optional embodiments, when the daily load change is divided based on different industries, this embodiment can determine the daily power change of different industries corresponding to special events belonging to meteorological disasters through the following expression:

[0103] ;

[0104] The daily electricity consumption changes in different industries corresponding to special events that are not meteorological disasters are determined by the following expression:

[0105] ;

[0106] in, Indicates the number of special events corresponding to meteorological disasters. Tianzhongdi Changes in electricity consumption in each industry; Indicates the number of special events that are not meteorological disasters. Tianzhongdi The changes in electricity consumption in each industry.

[0107] As a preferred solution, regulating the power equipment in the target area according to the load change of the target day specifically includes:

[0108] According to the daily power consumption change and the total power consumption change, the power equipment in the target area is regulated according to the daily load change.

[0109] Specifically, while this embodiment regulates the power equipment in the target area according to the daily load changes, it uses the daily power changes and the total power changes to constrain the regulated power, ensuring that the daily regulated power does not exceed the daily power changes obtained by analysis, and the total regulated power does not exceed the total power changes obtained by analysis, thereby ensuring that the power demand when special events occur is met while better reducing power waste.

[0110] See also Figure 2 A second aspect of an embodiment of the present invention provides a power equipment control system, including:

[0111] Data acquisition module 101, used to acquire historical daily load data, historical meteorological data and real-time load data of the target area;

[0112] The special event load data screening module 102 is used to screen out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data; wherein the special events include meteorological disaster events and non-meteorological disaster events;

[0113] A special event reference date determination module 103, configured to determine a reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data;

[0114] The special event load change analysis module 104 is used to obtain the daily load change corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data;

[0115] The power equipment control module 105 is used to obtain the target day load change corresponding to any special event when it is detected that the real-time load data matches the first historical day load data of any special event, and control the power equipment in the target area according to the target day load change.

[0116] As a preferred solution, the special event load data screening module 102 is used to screen out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data, specifically including:

[0117] When it is detected that the historical meteorological data in any historical time period meets the preset meteorological disaster judgment condition, the daily load data of the any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the meteorological disaster event.

[0118] As a preferred solution, the special event load data screening module 102 is used to screen out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data, specifically including:

[0119] When it is detected based on the historical daily load data that the load change rate per unit time in any historical time period is greater than the preset rate threshold, and the historical meteorological data in any historical time period does not meet the preset meteorological disaster judgment conditions, the daily load data of any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the non-meteorological disaster event.

[0120] As a preferred solution, the special event reference date determination module 103 is used to determine the reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data, specifically including:

[0121] When the special event is the meteorological disaster event, according to the meteorological disaster event occurrence period corresponding to the first historical daily load data, the week before the meteorological disaster event occurrence period is used as the reference date corresponding to the special event;

[0122] When the special event is the non-meteorological disaster event, according to the time period of the non-meteorological disaster event corresponding to the historical meteorological data and the first historical daily load data, the Euclidean distance method is used to obtain several historical days before the time period of the non-meteorological disaster event, whose meteorological data matches the meteorological data of any day within the time period of the non-meteorological disaster event, and the historical days are used as the base days corresponding to the special event.

[0123] As a preferred solution, the special event base date determination module 103 is used to use the Euclidean distance method to obtain several historical days whose meteorological data before the non-meteorological disaster event occurs and the meteorological data of any day in the non-meteorological disaster event period match, and use the historical days as the base date corresponding to the special event, specifically including:

[0124] Using the Euclidean distance method, respectively obtain the total Euclidean distance between the meteorological data of each historical day before the non-meteorological disaster event occurs and the meteorological data of any day during the non-meteorological disaster event occurs;

[0125] The historical day with the smallest total Euclidean distance is determined as the historical day on which the meteorological data matches the meteorological data of any one day, and the historical day with the smallest total Euclidean distance is used as the reference day corresponding to the special event.

[0126] As a preferred solution, the special event load change analysis module 104 is used to obtain the daily load change corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data, specifically including:

[0127] When the special event is the meteorological disaster event, performing arithmetic averaging on the second historical daily load data of a number of the reference days to obtain the reference day load data;

[0128] The daily load change corresponding to the special event is determined according to the difference between the first historical daily load data and the reference daily load data.

[0129] As a preferred solution, the special event load change analysis module 104 is used to obtain the daily load change corresponding to each of the special events according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data, specifically including:

[0130] When the special event is the non-meteorological disaster event, the daily load changes during the period when the non-meteorological disaster event occurs are determined based on the difference between the first historical daily load data of any day during the period when the non-meteorological disaster event occurs and the second historical daily load data of the reference day whose meteorological data matches the meteorological data of any day, and used as the daily load changes corresponding to the special event.

[0131] As a preferred solution, the system further includes a special event power change analysis module, which is used to:

[0132] Determine the daily load data collection interval and the occurrence period of any special event according to the first historical day load data under any special event;

[0133] Determine the daily power consumption change according to the load data collection interval and the target daily load change;

[0134] The total power consumption change is determined based on the daily power consumption change and the occurrence time period.

[0135] As a preferred solution, the power equipment control module 105 is used to control the power equipment in the target area according to the load change of the target day, specifically including:

[0136] According to the daily power consumption change and the total power consumption change, the power equipment in the target area is regulated according to the daily load change.

[0137] The power equipment control system provided by the embodiment of the present invention can fully consider the impact of meteorological factors on short-term power demand by utilizing historical daily load data to analyze the daily load changes during various meteorological disaster events and non-meteorological disaster events. Therefore, when a special event is detected, the power equipment can be accurately and timely controlled directly based on the analyzed daily load changes.

[0138] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for controlling power equipment, characterized in that: include: Obtain historical daily load data, historical meteorological data, and real-time load data for the target area; According to the historical meteorological data, the first historical daily load data under different special events are screened out from the historical daily load data; wherein the special events include meteorological disaster events and non-meteorological disaster events; the non-meteorological disaster events are specifically events caused by non-meteorological disasters, in which the load change rate per unit time is greater than a preset rate threshold; Determining a reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data; According to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data, obtaining the daily load change corresponding to each of the special events; When it is detected that the real-time load data matches the first historical day load data of any special event, the target day load change corresponding to the any special event is obtained, and the power equipment in the target area is regulated according to the target day load change; The step of determining the reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data specifically includes: When the special event is the meteorological disaster event, according to the meteorological disaster event occurrence period corresponding to the first historical daily load data, the week before the meteorological disaster event occurrence period is used as the reference date corresponding to the special event; When the special event is the non-meteorological disaster event, according to the time period of the non-meteorological disaster event corresponding to the historical meteorological data and the first historical daily load data, the Euclidean distance method is used to obtain several historical days before the time period of the non-meteorological disaster event, whose meteorological data matches the meteorological data of any day within the time period of the non-meteorological disaster event, and the historical days are used as the base days corresponding to the special event.

2. The power equipment control method according to claim 1, characterized in that: The step of filtering out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data specifically includes: When it is detected that the historical meteorological data in any historical time period meets the preset meteorological disaster judgment condition, the daily load data of the any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the meteorological disaster event.

3. The power equipment control method according to claim 1, characterized in that: The step of filtering out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data specifically includes: When it is detected based on the historical daily load data that the load change rate per unit time in any historical time period is greater than the preset rate threshold, and the historical meteorological data in any historical time period does not meet the preset meteorological disaster judgment conditions, the daily load data of any historical time period is obtained from the historical daily load data and used as the first historical daily load data under the non-meteorological disaster event.

4. The method for controlling electric power equipment according to claim 1, characterized in that: The method of using the Euclidean distance method to obtain a number of historical days whose meteorological data before the non-meteorological disaster event occurs matches the meteorological data of any day during the non-meteorological disaster event period, and using the historical days as the reference days corresponding to the special event, specifically includes: Using the Euclidean distance method, respectively obtain the total Euclidean distance between the meteorological data of each historical day before the non-meteorological disaster event occurs and the meteorological data of any day during the non-meteorological disaster event occurs; The historical day with the smallest total Euclidean distance is determined as the historical day on which the meteorological data matches the meteorological data of any one day, and the historical day with the smallest total Euclidean distance is used as the reference day corresponding to the special event.

5. The power equipment control method according to claim 1, characterized in that: The acquiring, according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data, the daily load change corresponding to each of the special events specifically includes: When the special event is the meteorological disaster event, performing arithmetic averaging on the second historical daily load data of a number of the reference days to obtain the reference day load data; The daily load change corresponding to the special event is determined according to the difference between the first historical daily load data and the reference daily load data.

6. The power equipment control method according to claim 1, characterized in that: The acquiring, according to the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data, the daily load change corresponding to each of the special events specifically includes: When the special event is the non-meteorological disaster event, the daily load changes during the period when the non-meteorological disaster event occurs are determined based on the difference between the first historical daily load data of any day during the period when the non-meteorological disaster event occurs and the second historical daily load data of the reference day whose meteorological data matches the meteorological data of any day, and used as the daily load changes corresponding to the special event.

7. The power equipment control method according to claim 1, characterized in that: The method further comprises: Determine the daily load data collection interval and the occurrence period of any special event according to the first historical day load data under any special event; Determine the daily power consumption change according to the load data collection interval and the target daily load change; The total power consumption change is determined based on the daily power consumption change and the occurrence time period.

8. The method for controlling electric power equipment according to claim 7, characterized in that: The regulating and controlling the power equipment in the target area according to the load change of the target day specifically includes: According to the daily power consumption change and the total power consumption change, the power equipment in the target area is regulated according to the daily load change.

9. A power equipment control system, characterized in that: include: A data acquisition module is used to obtain historical daily load data, historical meteorological data and real-time load data of the target area; A special event load data screening module is used to screen out the first historical daily load data under different special events from the historical daily load data according to the historical meteorological data; wherein the special events include meteorological disaster events and non-meteorological disaster events; the non-meteorological disaster events are specifically events caused by non-meteorological disasters, in which the rate of change of load per unit time is greater than a preset rate threshold; A special event reference date determination module, used to determine the reference date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data; A special event load change analysis module, used to obtain daily load changes corresponding to each of the special events based on the first historical daily load data and the second historical daily load data of the reference day in the historical daily load data; The power equipment control module is used to obtain the target day load change corresponding to any special event when it is detected that the real-time load data matches the first historical day load data of any special event, and control the power equipment in the target area according to the target day load change; The special event base date determination module is used to determine the base date corresponding to each of the special events according to the historical meteorological data and the first historical daily load data, specifically including: When the special event is the meteorological disaster event, according to the meteorological disaster event occurrence period corresponding to the first historical daily load data, the week before the meteorological disaster event occurrence period is used as the reference date corresponding to the special event; When the special event is the non-meteorological disaster event, according to the time period of the non-meteorological disaster event corresponding to the historical meteorological data and the first historical daily load data, the Euclidean distance method is used to obtain several historical days before the time period of the non-meteorological disaster event, whose meteorological data matches the meteorological data of any day within the time period of the non-meteorological disaster event, and the historical days are used as the base days corresponding to the special event.

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