A method for adjusting load of electric power equipment based on Internet of Things

Abstract

The present application discloses a method for adjusting the load of electric power equipment based on the Internet of Things, which relates to the technical field of the Internet of Things; the switching frequency adjustment strategy can be determined by the load type, and the relationship between the working time and the rest time corresponding to different load types is different, and the corresponding operating state switching frequency is different, so that the switching frequency adjustment strategy can match the load type; the power supply load adjustment strategy can be determined by the power load and equipment operation data. A more comprehensive power load adjustment effect can be achieved through the switching frequency adjustment strategy and the power supply load adjustment strategy; the switching frequency is associated with the load type, and the power supply load is associated with the power load and the equipment operation status, so that the switching frequency adjustment strategy and the power supply load adjustment strategy are more reasonable. Furthermore, it can achieve effective and reasonable load adjustment of electric power equipment and improve the operating stability of electric power equipment.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to a method for adjusting load of power equipment based on Internet of Things. Background Art

[0002] With the development of IoT technology, IoT technology has been applied in many scenarios. In the power system, IoT technology is also used, for example, by monitoring the relevant data of power equipment and adjusting the load of power equipment in real time according to the monitoring results, so as to ensure the operation stability of the power system.

[0003] At present, the load adjustment scheme of power equipment based on the Internet of Things usually adopts the following method: monitor whether the power supply load / power consumption load of each power equipment exceeds the standard, and if so, adjust the corresponding power supply load / power consumption load. Summary of the invention

[0004] The purpose of this application is to provide a method for adjusting the load of power equipment based on the Internet of Things, which can achieve effective and reasonable load adjustment of power equipment and improve the operating stability of power equipment.

[0005] To achieve the above-mentioned purpose, an embodiment of the present application provides a method for load adjustment of power equipment based on the Internet of Things, including: in response to detecting that multiple power equipment meet preset load adjustment conditions, obtaining device information corresponding to the multiple power equipment respectively, the device information including: load type, power load and equipment operation data, different load types correspond to different relationships between working time and rest time, and corresponding operating state switching frequencies are different, the equipment operation data includes multiple time points and operating states corresponding to the multiple time points respectively; determining a switching frequency adjustment strategy according to the load types corresponding to the multiple power equipment respectively; determining a power supply load adjustment strategy according to the power load and equipment operation data corresponding to the multiple power equipment respectively; executing the switching frequency adjustment strategy and the power supply load adjustment strategy.

[0006] In a possible embodiment, the preset load adjustment condition includes at least one of the following: within a preset first power usage cycle, the average power load of the multiple power devices is greater than the preset average power load; the number of the multiple power devices is greater than the preset number, and within a preset second power usage cycle, the total power load of the multiple power devices is greater than the preset total power load, and the second power usage cycle is shorter than the first power usage cycle; the number of the multiple power devices is less than or equal to the preset number, and within the preset second power usage cycle, the average power load of the multiple power devices is greater than the preset average power load; multiple related power devices located in the same power network as the multiple power devices meet a preset load exceeding condition.

[0007] In a possible embodiment, the load types include: a first load type, a second load type and a third load type; wherein, for the power equipment of the first load type, the working time of the power equipment is greater than the rest time, and the operating state switching frequency of the power equipment is less than a first preset frequency; for the power equipment of the second load type, the working time of the power equipment is less than the rest time, and the operating state switching frequency of the power equipment is greater than or equal to the first preset frequency; for the power equipment of the third load type, there is no fixed relationship between the working time and the rest time of the power equipment, and the operating state switching frequency of the power equipment is greater than or equal to the second preset frequency; the operating state switching frequency is used to characterize the switching frequency between the working state and the rest state, and the second preset frequency is greater than the first preset frequency.

[0008] In a possible implementation, determining the switching frequency adjustment strategy according to the load types respectively corresponding to the multiple power devices includes: determining, from the multiple power devices, a first power device belonging to a first load type, a second power device belonging to a second load type, and a third power device belonging to a third load type whose switching frequencies need to be adjusted according to the load types respectively corresponding to the multiple power devices; determining the switching frequency adjustment strategies respectively corresponding to the first power device, the second power device, and the third power device; wherein the switching frequency adjustment strategy of the first power device is to increase the switching frequency, the switching frequency adjustment strategy of the second power device is to set the switching frequency to 0 when the second power device is in a stop state, and the switching frequency adjustment strategy of the third power device is to reduce the switching frequency.

[0009] In a possible implementation, determining the power supply load adjustment strategy based on the power loads and equipment operation data respectively corresponding to the multiple power devices includes: determining a first overlap rate and a second overlap rate based on the equipment operation data respectively corresponding to the multiple power devices, the first overlap rate being used to characterize the proportion of the first time point among the multiple time points, and the second overlap rate being used to characterize the proportion of the second time point among the multiple time points, at the first time point, the power equipment of different load types are all in a working state, and at the second time point, the power equipment of different load types are all in a stopped state; determining the highest power load and the lowest power load among the power loads respectively corresponding to the multiple power devices; determining the power supply load adjustment strategy based on the first overlap rate, the second overlap rate, the highest power load and the lowest power load, the power supply load adjustment strategy including the power supply load adjustment values ​​respectively corresponding to the multiple power devices.

[0010] In a possible implementation, the power load includes power loads corresponding to multiple time points respectively, and the power equipment load adjustment method based on the Internet of Things also includes: determining the total power loads corresponding to the multiple power equipment respectively according to the power loads corresponding to the multiple power equipment respectively; obtaining the load conversion rates corresponding to the multiple power equipment respectively; determining the power supply load adjustment strategy according to the first overlap rate, the second overlap rate, the highest power load and the lowest power load, including: determining a total adjustment value according to the first overlap rate, the second overlap rate, the highest power load and the lowest power load; determining the power supply load adjustment values ​​corresponding to the multiple power equipment respectively according to the total adjustment value, the total power loads corresponding to the multiple power equipment respectively and the load conversion rates corresponding to the multiple power equipment respectively; determining the power supply load adjustment strategy according to the power supply load adjustment values ​​corresponding to the multiple power equipment respectively.

[0011] In a possible implementation manner, determining the total adjustment value according to the first overlap rate, the second overlap rate, the maximum power load, and the minimum power load includes: determining the total adjustment value according to a preset adjustment value calculation formula, the first overlap rate, the second overlap rate, the maximum power load, and the minimum power load, wherein the preset adjustment value calculation formula is:

[0012]

[0013] Among them, K S represents the total adjustment value, f(Q) represents the conversion function between any power load and the adjustment value, L1 represents the first overlap rate, L2 represents the second overlap rate, P1 represents the first weight, P2 represents the second weight, P3 represents the third weight, P4 represents the fourth weight, the sum of the first weight and the second weight is 1, the sum of the third weight and the fourth weight is greater than 1, Q max Characterizes the maximum power load, Q min Characterizes the minimum power load.

[0014] In a possible implementation, the determining the power supply load adjustment values ​​corresponding to the multiple power devices respectively according to the total adjustment value, the total power loads corresponding to the multiple power devices respectively, and the load conversion rates corresponding to the multiple power devices respectively, includes: determining the power supply load adjustment values ​​corresponding to the multiple power devices respectively according to a preset adjustment value allocation algorithm, the total adjustment value, the total power loads corresponding to the multiple power devices respectively, and the load conversion rates corresponding to the multiple power devices respectively, wherein the preset adjustment value allocation algorithm is:

[0015]

[0016] Among them, KS represents the total adjustment value, i represents any power equipment, n represents the total number of power equipment, K i Characterizes the power supply load adjustment value corresponding to any power equipment, Q zi Characterizes the total power load corresponding to any power equipment, S i It represents the load conversion rate corresponding to any power equipment, and A represents the preset load conversion rate.

[0017] In a possible implementation, the switching frequency adjustment strategy includes switching frequency adjustment strategies corresponding to multiple first target power devices, and the power supply load adjustment strategy includes power supply load adjustment values ​​corresponding to multiple power devices, and the execution of the switching frequency adjustment strategy and the power supply load adjustment strategy includes: for a first target power device among the multiple first target power devices, generating a control strategy according to the switching frequency adjustment strategy corresponding to the first target power device, and synchronizing the control strategy to the control end of the first target power device; adjusting the power supply load of the first target power device according to the power supply load adjustment value corresponding to the first target power device; for a power device other than the first target power device among the multiple power devices, adjusting the power supply load of the power device according to the power supply load adjustment value corresponding to the power device.

[0018] In a possible implementation, the switching frequency adjustment strategy includes switching frequency adjustment strategies corresponding to multiple first target power devices, and the power supply load adjustment strategy includes power supply load adjustment values ​​corresponding to multiple power devices. After executing the switching frequency adjustment strategy and the power supply load adjustment strategy, the power device load adjustment method based on the Internet of Things also includes: configuring first identification information for the multiple first target power devices, the first identification information is used to characterize that the power device does not perform load adjustment, the identification duration of the first identification information is a first preset duration, and the starting time point of the first preset duration is the current time point; determining a second target power device among the multiple power devices, the second target power device does not belong to the first target power device, and the power supply load adjustment value corresponding to the second target power device is greater than the preset power supply load adjustment value; configuring second identification information for the second target power device, the second identification information is used to characterize that the power device does not perform load adjustment, the identification duration of the second identification information is a second preset duration, the starting time point of the second preset duration is the current time point, and the end time point of the second preset duration is later than the end time point of the first preset duration.

[0019] Compared with the prior art, the technical solution of the embodiment of the present application has the following technical effects:

[0020] When it is detected that multiple power equipment meet the preset load adjustment conditions, three types of equipment information are obtained, namely, load type, power load and equipment operation data. The switching frequency adjustment strategy can be determined by the load type. Different load types have different relationships between working time and rest time, and the corresponding operating state switching frequencies are different, so that the switching frequency adjustment strategy can match the load type; the power supply load adjustment strategy can be determined by the power load and equipment operation data. Therefore, in the load adjustment scheme of the power equipment, on the one hand, a more comprehensive power load adjustment effect can be achieved through the switching frequency adjustment strategy and the power supply load adjustment strategy; on the other hand, the switching frequency is associated with the load type, and the power supply load is associated with the power load and the equipment operation status, so that the switching frequency adjustment strategy and the power supply load adjustment strategy are more reasonable. Furthermore, the load adjustment scheme of the power equipment can achieve effective and reasonable load adjustment of the power equipment and improve the operating stability of the power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a structural schematic diagram of a power system according to an embodiment of the present application;

[0022] Figure 2 is a flow chart of a method for adjusting load of power equipment based on the Internet of Things according to an embodiment of the present application;

[0023] Figure 3 It is a structural block diagram of a power equipment load adjustment device based on the Internet of Things according to an embodiment of the present application;

[0024] Figure 4 It is a structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] The specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present application is not limited by the specific implementation methods.

[0026] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0027] The technical solution provided in the embodiment of the present application can be applied to various power systems based on the Internet of Things to realize load adjustment of the power system to ensure the operational stability of the power system. It is understandable that if the load of the power system exceeds the standard, it will cause safety problems of the power system, so it is necessary to control the load of the power system.

[0028] In the embodiment of the present application, the load of the power system can be described as: power load and power supply load, where the power load refers to the load used by the power equipment, and the power supply load refers to the load transmitted by the power system to the power equipment, which is a load described based on different objects. In some application scenarios, the power load and the power supply load correspond to each other, which can be an equal relationship, or have a corresponding conversion relationship, etc., which is not limited here.

[0029] Furthermore, for load adjustment of power equipment, one is to adjust the power load of the power equipment, and the other is to adjust the power supply load delivered by the power system. The control objects of the two adjustment methods are different.

[0030] Please refer to Figure 1 , is a schematic diagram of a structure of a power system according to an embodiment of the present application, such as Figure 1 As shown, in the power system, multiple power devices, monitoring devices and control devices are included. Multiple power devices, monitoring devices and control devices can be deployed in an IoT-based manner and communicated in an IoT-based manner.

[0031] The monitoring device can be used to monitor multiple power devices to obtain relevant monitoring data of the multiple power devices, and transmit the monitoring data to the control device. Thus, the control device implements load adjustment of the multiple power devices based on the monitoring data transmitted by the monitoring device. In some embodiments, multiple power devices can also transmit data to each other.

[0032] The power system may be a power system operating in different application scenarios, for example, a factory power system, where the multiple power devices may be multiple operating devices of the factory; a community power system, where the multiple power devices may be household appliances, or other application scenarios, which are not listed one by one here.

[0033] In some embodiments, the monitoring device may be various sensors, or electronic devices equipped with sensors; the control device may be a terminal device, such as a computer, a server, etc.

[0034] In some embodiments, the power device and the monitoring device may be the same device, that is, the power device itself is equipped with a monitoring sensor, so it may be equivalent to a monitoring device.

[0035] Please refer to Figure 2 , is a flow chart of a method for adjusting load of power equipment based on the Internet of Things according to an embodiment of the present application, which method can be applied to Figure 1 The control device in the method comprises:

[0036] Step 201, in response to detecting that multiple power devices meet preset load adjustment conditions, obtain device information corresponding to the multiple power devices. The device information includes: load type, power load and device operation data. Different load types correspond to different relationships between working hours and rest hours, and corresponding operation state switching frequencies. The device operation data includes multiple time points and the operation states corresponding to the multiple time points.

[0037] Step 202: Determine a switching frequency adjustment strategy according to the load types corresponding to the plurality of power devices.

[0038] Step 203: Determine a power supply load adjustment strategy based on the power loads and equipment operation data corresponding to the plurality of power equipments.

[0039] Step 204: Execute the switching frequency adjustment strategy and the power supply load adjustment strategy.

[0040] In an embodiment of the present application, the preset load adjustment condition includes at least one of the following: within a preset first power usage cycle, the average power load of multiple power equipment is greater than the preset average power load; the number of multiple power equipment is greater than the preset number, and within a preset second power usage cycle, the total power load of the multiple power equipment is greater than the preset total power load, and the second power usage cycle is shorter than the first power usage cycle; the number of multiple power equipment is less than or equal to the preset number, and within the preset second power usage cycle, the average power load of the multiple power equipment is greater than the preset average power load; multiple related power equipment located in the same power network as the multiple power equipment reaches a preset load exceeding condition.

[0041] In some embodiments, the preset average power load may be a pre-set maximum average power load that matches the first power cycle. If the power load is exceeded, it means that load adjustment is required. The first power cycle may be a slightly longer cycle such as one day or half a day. In different application scenarios, the preset average power load may be set according to the actual power supply situation. The specific value is not limited here. For example, it may be set by the power plant.

[0042] In some embodiments, the second power usage cycle may be shorter than the first power usage cycle, for example, it may be one hour, two hours, etc.

[0043] The preset number can be the number of power devices used to distinguish whether it is a high power demand scenario. Different values ​​can also be set in different scenarios. For example, for a factory scenario, if the number of power devices exceeds 30, it is considered to be a high power demand. In this case, the preset number can be 30. For a community scenario, if the number of power devices per household exceeds 8, it is considered to be a high power demand. In this case, the preset number can be 8.

[0044] The preset total power load can be set in different application scenarios according to the constraint value of the total power load for the scenario with high power demand, which can be formulated by the power plant.

[0045] In some embodiments, if the number of electrical equipment is less than a preset number, the average power load may be used as a load adjustment condition. That is, the average power load may be adjusted with a quantity restriction.

[0046] In some embodiments, multiple related power devices located in the same power network as multiple power devices may be power devices that use the same power supply system as the multiple power devices. Therefore, information on whether a preset load over-standard condition is met (the load over-standard condition formulated by the control device of the related power device may be the same as the implementation method of the load adjustment condition formulated by the control devices of the current multiple power devices) may be obtained from the control devices of these related power devices. If met, the power load adjustment condition may also be regarded as being met.

[0047] It is understandable that the above conditions can be a combination of conditions or a single condition. For example, condition one can be combined with condition four as a combined judgment condition; condition two or three can also be combined with condition four as a combined judgment condition, etc.

[0048] In some embodiments, the power load of the power equipment is monitored by a monitoring device, so the control device can obtain information from the monitoring device and determine the load adjustment conditions.

[0049] In an embodiment of the present application, the load types of the power equipment are divided, and different load types correspond to different relationships between working time and rest time, and to different operating state switching frequencies.

[0050] As an optional implementation manner, the load types include: a first load type, a second load type and a third load type.

[0051] Among them, for the power equipment of the first load type, the working time of the power equipment is greater than the rest time, and the operating state switching frequency of the power equipment is less than the first preset frequency; for the power equipment of the second load type, the working time of the power equipment is less than the rest time, and the operating state switching frequency of the power equipment is greater than or equal to the first preset frequency; for the power equipment of the third load type, there is no fixed relationship between the working time and the rest time of the power equipment, and the operating state switching frequency of the power equipment is greater than or equal to the second preset frequency; the operating state switching frequency is used to characterize the switching frequency between the working state and the rest state, and the second preset frequency is greater than the first preset frequency.

[0052] It should be understood that the rest state is not a shut-down state, but a state where charge needs to be supplied but is not working. The charge supplied at this time is much smaller than the charge supplied in the working state.

[0053] The first load type can also be called a continuous duty load type. For electrical equipment of this load type, the working time is greater than the rest time, that is, it is in working state most of the time. Therefore, its operating state switching frequency is less than the first preset frequency. The first preset frequency only represents a smaller switching frequency value. In different scenarios, it may have different values, which are not limited here. For example, pumps, ventilators, compressors, electric furnaces, transportation equipment, lighting equipment, etc., all belong to the continuous working load type.

[0054] The second load type can also be called a short-time working load. For this type of load, the working time of the power equipment is shorter than the rest time, that is, it is in a rest state most of the time. Therefore, its operating state switching frequency is relatively high, which can be greater than the first preset frequency. For example, the beam lifting, tool holder fast moving motor, gate motor, etc. of the machine tool all belong to the short-time working load type.

[0055] The third load type can also be called a repeated short-time working load. For power equipment of this load type, there is no fixed relationship between the working time and the rest time. The working time may be longer or shorter. However, the operating state switching frequency of the power equipment is greater than or equal to the second preset frequency, that is, the operating state switching frequency is higher. The first preset frequency only represents a higher switching frequency value. In different scenarios, it may have different values, which are not limited here. For example, cranes, elevators, electric welders, etc., all belong to the repeated short-time working load type.

[0056] In step 202, a switching frequency adjustment strategy may be determined according to the load types corresponding to the plurality of power devices. In the embodiment of the present application, the switching frequency adjustment strategy may be used as an auxiliary load adjustment strategy, that is, it does not directly adjust the load, but plays a certain load adjustment role by adjusting the switching frequency.

[0057] As an optional implementation, step 202 includes: determining, from the multiple power devices, a first power device belonging to the first load type, a second power device belonging to the second load type, and a third power device belonging to the third load type whose switching frequencies need to be adjusted according to the load types corresponding to the multiple power devices respectively; determining the switching frequency adjustment strategies corresponding to the first power device, the second power device, and the third power device respectively; wherein the switching frequency adjustment strategy of the first power device is to increase the switching frequency, the switching frequency adjustment strategy of the second power device is to set the switching frequency to 0 when the second power device is in a stop state, and the switching frequency adjustment strategy of the third power device is to reduce the switching frequency.

[0058] In this implementation, a plurality of power devices are first classified according to load type, and then, among the power devices of each load type, only the first power device, the second power device, and the third power device whose switching frequency needs to be adjusted are determined.

[0059] In some embodiments, for the first load type, since it is a continuous working system, if the frequency of use is not high, there is no need to adjust the frequency. Therefore, the power equipment of the first load type that needs to adjust the switching frequency may be a power equipment with a higher frequency of use. For the second load type, since it is a short-time working system, if the frequency of use is high, there is no need to adjust the switching frequency. For example, among multiple gates, you can choose to close gates that are not often used. Therefore, the power equipment of the second load type that needs to adjust the switching frequency may be a power equipment with a lower frequency of use. For the third load type, since it is a repeated short-time working system, if the frequency of use is high, there is no need to adjust the switching frequency. For example, among multiple elevators, you can choose to adjust the switching frequency of elevators that are not often used. Therefore, the power equipment of the third load type that needs to adjust the switching frequency may be a power equipment with a lower frequency of use.

[0060] Furthermore, the switching frequency adjustment strategy of the first power device is to increase the switching frequency. On the basis of the increase in the switching frequency, the working time of the first power device will be reduced accordingly, which plays a certain role in reducing the load. The switching frequency adjustment strategy of the second power device is to set the switching frequency to 0 when the second power device is in a stopped state. On the basis of this strategy, it is equivalent to directly shutting down the second power device, which plays a certain role in reducing the load. The switching frequency adjustment strategy of the third power device is to reduce the switching frequency. On the basis of this strategy, it is equivalent to reducing the use frequency of the third power device, which plays a certain role in reducing the load.

[0061] Through the introduction of the switching frequency adjustment strategy, it can be seen that different switching frequency adjustment methods are used for power equipment with different load types, which plays an auxiliary adjustment role in load adjustment.

[0062] In step 203, a power supply load adjustment strategy is determined according to the power loads and equipment operation data corresponding to the multiple power equipments, wherein the equipment operation data includes multiple time points and the operation states corresponding to the multiple time points, and the operation states may include: working state and rest state.

[0063] It can be understood that the equipment operation data and power load can be acquired by the monitoring device and then transmitted to the control device.

[0064] In some embodiments, the multiple time points may be multiple time points corresponding to the current monitoring period. For example, if the monitoring period is 10 minutes, the multiple time points may be multiple time points within 10 minutes, and the intervals between the multiple time points may be 10S, 20S, etc.

[0065] As an optional implementation, step 203 includes: determining a first overlap rate and a second overlap rate based on equipment operation data corresponding to multiple power equipment, the first overlap rate being used to characterize the proportion of the first time point in multiple time points, and the second overlap rate being used to characterize the proportion of the second time point in multiple time points, at the first time point, power equipment of different load types are all in working state, and at the second time point, power equipment of different load types are all in a stopped state; determining the highest power load and the lowest power load among the power loads corresponding to the multiple power equipment; determining a power supply load adjustment strategy based on the first overlap rate, the second overlap rate, the highest power load and the lowest power load, the power supply load adjustment strategy including the power supply load adjustment values ​​corresponding to the multiple power equipment.

[0066] In this implementation, the first overlap rate and the second overlap rate are first determined in combination with the equipment operation data. The first overlap rate can characterize the distribution of the power equipment of different load types in working state at multiple time points. The second overlap rate can characterize the distribution of the power equipment of different load types in rest state at multiple time points.

[0067] The highest power load and the lowest power load among the power loads corresponding to the multiple power devices may be the highest power load and the lowest power load determined by comparing the power loads of the multiple power devices at multiple time points.

[0068] Furthermore, the power supply load adjustment values ​​corresponding to the plurality of power equipments are determined in combination with the first overlap rate, the second overlap rate, the highest power load and the lowest power load.

[0069] It can be understood that if the power supply load adjustment value is 0, it means that there is no need to adjust the power supply load.

[0070] Furthermore, the power load includes power loads corresponding to multiple time points respectively, and the power equipment load adjustment method based on the Internet of Things also includes: determining the total power loads corresponding to the multiple power equipment respectively according to the power loads corresponding to the multiple power equipment respectively; obtaining the load conversion rates corresponding to the multiple power equipment respectively; determining the power supply load adjustment strategy according to the first overlap rate, the second overlap rate, the highest power load and the lowest power load, including: determining the total adjustment value according to the first overlap rate, the second overlap rate, the highest power load and the lowest power load; determining the power supply load adjustment values ​​corresponding to the multiple power equipment respectively according to the total adjustment value, the total power load corresponding to the multiple power equipment respectively and the load conversion rates corresponding to the multiple power equipment respectively; determining the power supply load adjustment strategy according to the power supply load adjustment values ​​corresponding to the multiple power equipment respectively.

[0071] In this implementation, for each power device, the power loads corresponding to multiple time points are summed to determine the total power load.

[0072] In some embodiments, the load conversion rate of the power equipment can be calculated by the monitoring device using a calculation formula for the load conversion rate, and specific details can be referred to mature technologies in the field.

[0073] In some embodiments, the total adjustment value is first determined, and then the power supply load adjustment values ​​corresponding to the multiple power devices are determined.

[0074] As an optional implementation manner, determining the total adjustment value according to the first overlap rate, the second overlap rate, the highest power load and the lowest power load includes:

[0075] The total adjustment value is determined according to the preset adjustment value calculation formula, the first overlap rate, the second overlap rate, the maximum power load and the minimum power load. The preset adjustment value calculation formula is:

[0076]

[0077] Among them, K S represents the total adjustment value, f(Q) represents the conversion function between any power load and the adjustment value, L1 represents the first overlap rate, L2 represents the second overlap rate, P1 represents the first weight, P2 represents the second weight, P3 represents the third weight, P4 represents the fourth weight, the sum of the first weight and the second weight is 1, the sum of the third weight and the fourth weight is greater than 1, Q max Characterizes the maximum power load, Q min Characterizes the minimum power load.

[0078] In this embodiment, a conversion function between the power load and the adjustment value is preconfigured, and the conversion function can be a direct proportional function, that is, the higher the power load, the higher the adjustment value. For example, f(Q) = αQ, where α can be a specific value or a relationship function, which can be determined by counting a large amount of data. For example: in the historical charge adjustment strategy of the power plant, the power supply load adjustment amount corresponding to different power loads is counted, and then the value or relationship function is determined according to the statistical law.

[0079] In some embodiments, the four weight values ​​may be set in combination with different application scenarios. For example, the first weight may be greater than the second weight, and the third weight and the fourth weight may be equal.

[0080] It can be seen from the calculation formula that when the first overlap rate is high, the first overlap rate is used as the impact value of the load adjustment value, and the corresponding impact value is increased on the basis of the adjustment value determined based on the power load. When the second overlap rate is high, the second overlap rate is used as the impact value of the load adjustment value, and the corresponding impact value is increased on the basis of the adjustment value determined based on the power load. When the first overlap rate and the second overlap rate are the same, the negative impact brought by the two overlap rates is based on the adjustment value determined based on the power load, minus the impact values ​​of the two.

[0081] As an optional implementation, determining the power supply load adjustment values ​​corresponding to the plurality of power devices respectively according to the total adjustment value, the total power loads corresponding to the plurality of power devices respectively, and the load conversion rates corresponding to the plurality of power devices respectively, includes:

[0082] According to a preset adjustment value allocation algorithm, a total adjustment value, a total power load corresponding to a plurality of power devices, and a load conversion rate corresponding to a plurality of power devices, the power supply load adjustment values ​​corresponding to the plurality of power devices are determined. The preset adjustment value allocation algorithm is:

[0083]

[0084] Among them, K S represents the total adjustment value, i represents any power equipment, n represents the total number of power equipment, K i Characterizes the power supply load adjustment value corresponding to any power equipment, Q zi Characterizes the total power load corresponding to any power equipment, S i It represents the load conversion rate corresponding to any power equipment, and A represents the preset load conversion rate.

[0085] In some embodiments, the sum of the power supply load adjustment values ​​corresponding to the plurality of power devices may be greater than or equal to the total adjustment value, and generally speaking, needs to be maintained equal to the total adjustment value.

[0086] The preset load conversion rate may be a preset minimum (conforming to the requirements) load conversion rate. The product of the preset load conversion rate and the sum of the total power loads of the plurality of power devices may represent the predicted minimum (conforming to the requirements) total conversion load value.

[0087] Among them, the product of the total power load and the load conversion rate can represent the predicted conversion load value of any power equipment. Therefore, the proportion of the total adjustment value occupied by any power equipment can be determined based on the ratio of the predicted conversion load value of the power equipment to the predicted minimum (compliant) total conversion load value. The higher the ratio, the more adjustments are required, and the lower the ratio, the less adjustments are required.

[0088] In this way, the power supply load adjustment values ​​corresponding to the plurality of power devices can be determined. Furthermore, based on the power supply load adjustment values, the power supply load adjustment strategy can be determined.

[0089] Therefore, in the embodiment of the present application, the switching frequency adjustment strategy includes the switching frequency adjustment strategies corresponding to the multiple first target power devices, and the power supply load adjustment strategy includes the power supply load adjustment values ​​corresponding to the multiple power devices. The first target power device can be understood as the aforementioned first power device, the second power device, and the third power device.

[0090] In step 204, executing the switching frequency adjustment strategy and the power supply load adjustment strategy may include: for a first target power device among multiple first target power devices, generating a control strategy according to the switching frequency adjustment strategy corresponding to the first target power device, and synchronizing the control strategy to the control end of the first target power device; adjusting the power supply load of the first target power device according to the power supply load adjustment value corresponding to the first target power device; for a power device other than the first target power device among multiple power devices, adjusting the power supply load of the power device according to the power supply load adjustment value corresponding to the power device.

[0091] In some embodiments, the control end of the first target power device may be the first target power device itself, or may be its corresponding policy control device.

[0092] As an optional implementation, after executing the switching frequency adjustment strategy and the power supply load adjustment strategy, the power equipment load adjustment method based on the Internet of Things also includes: configuring first identification information for multiple first target power devices, the first identification information is used to characterize that the power equipment does not perform load adjustment, the identification duration of the first identification information is a first preset duration, and the starting time point of the first preset duration is the current time point; determining a second target power device among multiple power devices, the second target power device does not belong to the first target power device, and the power supply load adjustment value corresponding to the second target power device is greater than the preset power supply load adjustment value; configuring second identification information for the second target power equipment, the second identification information is used to characterize that the power equipment does not perform load adjustment, the identification duration of the second identification information is a second preset duration, and the starting time point of the second preset duration is the current time point; the end time point of the second preset duration is later than the end time point of the first preset duration.

[0093] In some embodiments, the first preset duration may be one hour, two hours, etc. from the current time point, and the second preset duration may be half a day, one day, etc. from the current time point.

[0094] In some embodiments, the first identification information and the second identification information are cancelled after reaching corresponding preset time durations.

[0095] In some embodiments, the first identification information and the second identification information may be used for subsequent load adjustment.

[0096] Therefore, as an optional implementation, when it is detected that multiple power devices meet the preset load adjustment conditions, it is necessary to determine whether the multiple power devices have the first identification information or the second identification information. For power devices with identification information, there is no need to execute the subsequent load adjustment process. For power devices that do not have identification information, the subsequent load adjustment process is executed.

[0097] It can be seen from the introduction of the embodiments of the present application that when it is detected that multiple power equipment meet the preset load adjustment conditions, three types of equipment information, namely load type, power load and equipment operation data, are obtained. The switching frequency adjustment strategy can be determined by the load type. The relationship between the working time and the rest time corresponding to different load types is different, and the corresponding operating state switching frequency is different, so that the switching frequency adjustment strategy can match the load type; the power supply load adjustment strategy can be determined by the power load and equipment operation data. Therefore, in the load adjustment scheme of the power equipment, on the one hand, a more comprehensive power load adjustment effect can be achieved through the switching frequency adjustment strategy and the power supply load adjustment strategy; on the other hand, the switching frequency is associated with the load type, and the power supply load is associated with the power load and the equipment operation status, so that the switching frequency adjustment strategy and the power supply load adjustment strategy are more reasonable. Furthermore, the load adjustment scheme of the power equipment can achieve effective and reasonable load adjustment of the power equipment and improve the operating stability of the power equipment.

[0098] Please refer to Figure 3 , is a structural block diagram of an Internet of Things-based power equipment load adjustment device 300 according to an embodiment of the present application, including: an acquisition module 301, used for obtaining device information corresponding to the multiple power equipment in response to detecting that multiple power equipment meet preset load adjustment conditions, the device information including: load type, power load and equipment operation data, different load types correspond to different relationships between working time and rest time, and corresponding operating state switching frequencies are different, the equipment operation data includes multiple time points and the operating states corresponding to the multiple time points; a determination module 302, used to determine a switching frequency adjustment strategy according to the load types corresponding to the multiple power equipment; determine a power supply load adjustment strategy according to the power loads and equipment operation data corresponding to the multiple power equipment; a control module 303, used to execute the switching frequency adjustment strategy and the power supply load adjustment strategy.

[0099] The specific implementation of the power equipment load adjustment device 300 based on the Internet of Things refers to the implementation of the aforementioned method and will not be repeated here.

[0100] Please refer to Figure 4 , is a structural block diagram of an electronic device according to an embodiment of the present application, and the electronic device can be used as the aforementioned control device to execute the technical solution of the embodiment of the present application. The electronic device includes a processor 401 and a memory 402, and the processor 401 and the memory 402 are in communication connection.

[0101] The processor 401 and the memory 402 are directly or indirectly electrically connected to each other to realize data transmission or interaction. For example, these elements can be electrically connected through one or more communication buses or signal buses. The method steps executed by the aforementioned modules or interactive terminals respectively include at least one software function module that can be stored in the memory 402 in the form of software or firmware.

[0102] Processor 401 may be an integrated circuit chip with signal processing capability. Processor 401 may be a general-purpose processor, including a CPU (Central Processing Unit), NP (Network Processor), etc.; it may also be a digital signal processor, a dedicated integrated circuit, a readily available programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. It may implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0103] The memory 402 can store various software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402, that is, implements various steps in the embodiments of the present application.

[0104] The memory 402 may include, but is not limited to, RAM (Random Access Memory), ROM (Read Only Memory), PROM (Programmable Read-Only Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electric Erasable Programmable Read-Only Memory), etc.

[0105] Understandably, Figure 4 The structure shown is for illustration only. The electronic device may also include Figure 4 More or fewer components as shown, or with Figure 4 Different configurations shown.

[0106] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0107] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0108] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0110] The foregoing description of the specific exemplary embodiments of the present application is for the purpose of illustration and illustration. These descriptions are not intended to limit the present application to the precise form disclosed, and it is clear that many changes and variations can be made based on the above teachings. The purpose of selecting and describing the exemplary embodiments is to explain the specific principles of the present application and its practical application, so that those skilled in the art can realize and utilize the various exemplary embodiments of the present application and various selections and changes. The scope of the present application is intended to be limited by the claims and their equivalents.

Claims

1. A method for adjusting load of electric power equipment based on the Internet of Things, characterized in that: include: In response to detecting that a plurality of electric devices satisfy preset load adjustment conditions, obtaining device information corresponding to the plurality of electric devices respectively, the device information including: load type, power load and device operation data, different load types correspond to different relationships between working time and rest time, and corresponding operation state switching frequencies, the device operation data including multiple time points and operation states corresponding to the multiple time points respectively; the load type includes: a first load type, a second load type and a third load type; wherein, for the electric device of the first load type, the working time of the electric device is greater than the rest time, and the operation state switching frequency of the electric device is less than a first preset frequency; for the electric device of the second load type, the working time of the electric device is less than the rest time, and the operation state switching frequency of the electric device is greater than or equal to the first preset frequency; for the electric device of the third load type, there is no fixed relationship between the working time and the rest time, and the operation state switching frequency of the electric device is greater than or equal to the second preset frequency; the operation state switching frequency is used to characterize the switching frequency between the working state and the rest state, and the second preset frequency is greater than the first preset frequency; Determining a switching frequency adjustment strategy according to the load types respectively corresponding to the plurality of power devices; Determining a power supply load adjustment strategy according to the power loads and equipment operation data respectively corresponding to the plurality of power equipment; Executing the switching frequency adjustment strategy and the power supply load adjustment strategy; The determining of the switching frequency adjustment strategy according to the load types respectively corresponding to the multiple power devices includes: determining, according to the load types respectively corresponding to the multiple power devices, a first power device belonging to a first load type, a second power device belonging to a second load type, and a third power device belonging to a third load type, which need to adjust the switching frequency, from the multiple power devices; determining the switching frequency adjustment strategies respectively corresponding to the first power device, the second power device, and the third power device; wherein the switching frequency adjustment strategy of the first power device is to increase the switching frequency, the switching frequency adjustment strategy of the second power device is to set the switching frequency to 0 when the second power device is in a stopped state, and the switching frequency adjustment strategy of the third power device is to reduce the switching frequency; The method of determining a power supply load adjustment strategy based on the power loads and equipment operation data respectively corresponding to the multiple power devices includes: determining a first overlap rate and a second overlap rate based on the equipment operation data respectively corresponding to the multiple power devices, the first overlap rate being used to characterize the proportion of a first time point among the multiple time points, and the second overlap rate being used to characterize the proportion of a second time point among the multiple time points, at the first time point, power devices of different load types are all in a working state, and at the second time point, power devices of different load types are all in a stopped state; determining a highest power load and a lowest power load among the power loads respectively corresponding to the multiple power devices; determining a power supply load adjustment strategy based on the first overlap rate, the second overlap rate, the highest power load and the lowest power load, the power supply load adjustment strategy including power supply load adjustment values ​​respectively corresponding to the multiple power devices.

2. The method for adjusting power equipment load based on the Internet of Things according to claim 1, characterized in that: The preset load adjustment condition includes at least one of the following: In a preset first power consumption cycle, the average power load of the plurality of power devices is greater than a preset average power load; The number of the plurality of electrical devices is greater than a preset number, and within a preset second power usage cycle, the total power load of the plurality of electrical devices is greater than the preset total power load, and the second power usage cycle is shorter than the first power usage cycle; The number of the plurality of electrical devices is less than or equal to the preset number, and in the preset second power consumption cycle, the average power load of the plurality of electrical devices is greater than the preset average power load; A plurality of related electric power devices located in the same electric power network as the plurality of electric power devices reaches a preset load exceeding condition.

3. The method for adjusting power equipment load based on the Internet of Things according to claim 1, characterized in that: The power load includes power loads corresponding to multiple time points respectively, and the power equipment load adjustment method based on the Internet of Things also includes: Determine the total power loads corresponding to the plurality of power devices respectively according to the power loads corresponding to the plurality of power devices respectively; Obtaining load conversion rates corresponding to the plurality of power devices respectively; The determining of the power supply load adjustment strategy according to the first overlap rate, the second overlap rate, the maximum power load and the minimum power load includes: determining a total adjustment value according to the first overlap rate, the second overlap rate, the maximum power load, and the minimum power load; Determine the power supply load adjustment values ​​respectively corresponding to the multiple power devices according to the total adjustment value, the total power loads respectively corresponding to the multiple power devices and the load conversion rates respectively corresponding to the multiple power devices; A power supply load adjustment strategy is determined according to the power supply load adjustment values ​​respectively corresponding to the plurality of power devices.

4. The method for adjusting power equipment load based on the Internet of Things according to claim 3 is characterized in that: The determining of the total adjustment value according to the first overlap rate, the second overlap rate, the highest power load and the lowest power load includes: The total adjustment value is determined according to a preset adjustment value calculation formula, the first overlap rate, the second overlap rate, the maximum power load, and the minimum power load. The preset adjustment value calculation formula is: Among them, K S represents the total adjustment value, f(Q) represents the conversion function between any power load and the adjustment value, L1 represents the first overlap rate, L2 represents the second overlap rate, P1 represents the first weight, P2 represents the second weight, P3 represents the third weight, P4 represents the fourth weight, the sum of the first weight and the second weight is 1, the sum of the third weight and the fourth weight is greater than 1, Q max Characterizes the maximum power load, Q min Characterizes the minimum power load.

5. The method for adjusting power equipment load based on the Internet of Things according to claim 3 is characterized in that: The determining, according to the total adjustment value, the total power loads respectively corresponding to the plurality of power devices and the load conversion rates respectively corresponding to the plurality of power devices, the power supply load adjustment values ​​respectively corresponding to the plurality of power devices comprises: According to a preset adjustment value allocation algorithm, the total adjustment value, the total power loads corresponding to the multiple power devices respectively, and the load conversion rates corresponding to the multiple power devices respectively, the power supply load adjustment values ​​corresponding to the multiple power devices respectively are determined, and the preset adjustment value allocation algorithm is: Among them, K S represents the total adjustment value, i represents any power equipment, n represents the total number of power equipment, K i Characterizes the power supply load adjustment value corresponding to any power equipment, Q zi Characterizes the total power load corresponding to any power equipment, S i It represents the load conversion rate corresponding to any power equipment, and A represents the preset load conversion rate.

6. The method for adjusting power equipment load based on the Internet of Things according to claim 1, characterized in that: The switching frequency adjustment strategy includes switching frequency adjustment strategies corresponding to a plurality of first target power devices respectively, the power supply load adjustment strategy includes power supply load adjustment values ​​corresponding to a plurality of power devices respectively, and the execution of the switching frequency adjustment strategy and the power supply load adjustment strategy includes: For a first target power device among the multiple first target power devices, a control strategy is generated according to a switching frequency adjustment strategy corresponding to the first target power device, and the control strategy is synchronized to a control end of the first target power device; according to a power supply load adjustment value corresponding to the first target power device, a power supply load of the first target power device is adjusted; For the power equipment other than the first target power equipment among the plurality of power equipment, the power supply load of the power equipment is adjusted according to the power supply load adjustment value corresponding to the power equipment.

7. The method for adjusting power equipment load based on the Internet of Things according to claim 1, characterized in that: The switching frequency adjustment strategy includes switching frequency adjustment strategies corresponding to a plurality of first target power devices respectively, and the power supply load adjustment strategy includes power supply load adjustment values ​​corresponding to a plurality of power devices respectively. After executing the switching frequency adjustment strategy and the power supply load adjustment strategy, the power device load adjustment method based on the Internet of Things further includes: For the multiple first target power devices, configure first identification information, the first identification information is used to indicate that the power device does not perform load adjustment, the identification duration of the first identification information is a first preset duration, and the starting time point of the first preset duration is the current time point; Determine a second target power device among the multiple power devices, the second target power device does not belong to the first target power device, and a power supply load adjustment value corresponding to the second target power device is greater than a preset power supply load adjustment value; For the second target power equipment, second identification information is configured, the second identification information is used to characterize that the power equipment does not perform load adjustment, the identification duration of the second identification information is a second preset duration, the starting time point of the second preset duration is the current time point, and the end time point of the second preset duration is later than the end time point of the first preset duration.

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