A method, system and medium for dispatching and controlling power reduction energy based on multiple devices

Abstract

The present application provides a method, system and medium for energy scheduling and control based on multiple devices for power reduction. The method includes: obtaining the total household load data and household power limit data, and processing to obtain the household load operation status, obtaining the power safety adjustment mode according to the obtained energy storage standard output data and energy storage real-time output data, adjusting the power supply capacity or household load according to the power safety adjustment mode, and clarifying the specific methods of reducing the household load mode and increasing the power supply capacity mode; thereby, the technology of power reduction energy scheduling and control is realized by judging the operation status of the household load and obtaining the power safety adjustment mode.

Description

Technical Field

[0001] The present application relates to the field of energy regulation and control, and in particular to a method, system and medium for energy scheduling and control based on multi-device power reduction. Background Art

[0002] With the continuous growth of energy demand and the increasing complexity of energy structure, how to dispatch energy efficiently and reasonably has become an urgent problem to be solved. In many scenarios, there are multiple devices running at the same time and their power needs to be regulated to achieve optimal configuration and balance of energy. Traditional energy dispatching methods are often difficult to accurately adjust dynamically according to the operating status and energy demand of the equipment, resulting in energy waste or insufficient supply. For example, in household electricity consumption, different electrical equipment has different power characteristics and operating requirements, and the household power is limited. If their power consumption cannot be effectively coordinated, it may cause excessive peak power, increase energy costs, and even affect the stable operation of the power grid. At the same time, in some intelligent building systems, the disorderly operation of various electrical equipment will also lead to irrational use of energy. Therefore, an innovative energy dispatching control method is needed to solve these problems.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide a power reduction energy scheduling control method, system and medium based on multiple devices, by obtaining the total household load data and the household power restriction data, and processing to obtain the household load operation status, and obtaining the power safety adjustment mode according to the obtained energy storage standard output data and the energy storage real-time output data, and adjusting the power supply capacity or household load according to the power safety adjustment mode, and clarifying the specific methods of reducing the household load mode and increasing the power supply capacity mode; thereby, the technology of power reduction energy scheduling control is realized by judging the household load operation status and obtaining the power safety adjustment mode.

[0005] The present application also provides a multi-device based power reduction energy scheduling control method, comprising the following steps:

[0006] Obtaining total household load data and household power limit data, and obtaining household load operation status according to the comparison between the total household load data and the household power limit data;

[0007] Acquire energy storage standard output data and energy storage real-time output data according to the household load operation status, and obtain a power safety adjustment mode according to the energy storage standard output data and energy storage real-time output data;

[0008] The power supply capacity or household load is adjusted according to the power safety adjustment mode.

[0009] Optionally, in the multi-device based power reduction energy scheduling control method described in the present application, the acquiring of household total load data and household limit power data, and obtaining household load operation status according to the comparison between the household total load data and the household limit power data, specifically includes:

[0010] Obtaining total household load data and household power limit data, and comparing the total household load data with the household power limit data;

[0011] Obtaining the household load operation state according to the comparison result, including an overload state or a stable operation state;

[0012] If the household total load data is greater than the household limit power data, the household load operation state is an overload state;

[0013] If the total household load data is less than or equal to the household power limit data, the household load operation state is a stable operation state.

[0014] Optionally, in the multi-device based power reduction energy dispatching control method described in the present application, acquiring energy storage standard output data and energy storage real-time output data according to the household load operation state, and obtaining the power safety adjustment mode according to the energy storage standard output data and energy storage real-time output data, specifically includes:

[0015] Determining the operating state of the household load;

[0016] If the household load operation state is an overload state, obtaining energy storage standard output data and energy storage real-time output data;

[0017] Compare the standard output data of energy storage with the real-time output data of energy storage to obtain a safe electricity adjustment mode, including a mode of increasing power supply capacity or a mode of reducing household load;

[0018] If the energy storage real-time output data is equal to the energy storage standard output data, the electricity safety adjustment mode is a household load reduction mode;

[0019] If the real-time output data of the energy storage is less than the standard output data of the energy storage, the power safety adjustment mode is a mode of increasing the power supply capacity.

[0020] Optionally, in the multi-device based power reduction energy scheduling control method described in the present application, the household load reduction mode specifically includes:

[0021] Get the current value, the fixed current value for home operation, and the minimum and maximum working currents of high-power equipment;

[0022] According to the current current value, the fixed current value of the household operation, the total household load data, the household power limit data and the real-time output data of the energy storage, the current adjustment evaluation model is used to obtain the adjusted device current;

[0023] Comparing the adjusted device current with the minimum working current and the maximum working current to obtain a current regulation method;

[0024] If the adjusted device current is greater than or equal to the minimum working current and less than or equal to the maximum working current, the working current of the high-power device is adjusted to the adjusted device current;

[0025] If the adjusted working current is less than the minimum working current, the high-power device will suspend operation and issue an early warning.

[0026] Optionally, in the multi-device based power reduction energy scheduling control method described in the present application, the power supply capacity increase mode specifically includes:

[0027] The total household load data, the household power limit data and the real-time energy storage output data are input into a preset power adjustment evaluation model for processing to obtain the energy storage output demand power;

[0028] Subtract the energy storage standard output data from the energy storage real-time output data to obtain energy storage residual power data;

[0029] Compare the energy storage output required power with the energy storage remaining power data to obtain an increased energy supply state;

[0030] If the energy storage output required power is less than or equal to the energy storage remaining power data, the energy supply state is increased to an adjustable state, corresponding to the energy storage output required power as the energy storage device output increased power;

[0031] If the energy storage output demand power is greater than the energy storage remaining power data, the energy supply state is increased to an insufficient power state, and the energy storage remaining power data is used as the energy storage device output to increase power and issue a power shortage warning.

[0032] Optionally, the multi-device based power reduction energy scheduling control method described in the present application further includes:

[0033] Obtain historical power generation data, historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data, and historical ultraviolet level data for a preset time period;

[0034] The historical power generation data is used as output, and the historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data and historical ultraviolet level data are used as input for model training to obtain a power generation evaluation model;

[0035] Obtain real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data, and predicted UV level data;

[0036] The real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data and predicted ultraviolet level data are input into a power generation assessment model to obtain predicted power generation data.

[0037] In a second aspect, the present application provides a multi-device based power reduction energy scheduling and control system, the system comprising: a memory and a processor, the memory storing a program of a multi-device based power reduction energy scheduling and control method, the program of the multi-device based power reduction energy scheduling and control method being executed by the processor to implement the following steps:

[0038] Obtaining total household load data and household power limit data, and obtaining household load operation status according to the comparison between the total household load data and the household power limit data;

[0039] Acquire energy storage standard output data and energy storage real-time output data according to the household load operation status, and obtain a power safety adjustment mode according to the energy storage standard output data and energy storage real-time output data;

[0040] The power supply capacity or household load is adjusted according to the power safety adjustment mode.

[0041] Optionally, in the multi-device based power reduction energy dispatching and control system described in the present application, the acquiring of household total load data and household limit power data, and obtaining household load operation status according to the comparison between the household total load data and the household limit power data, specifically includes:

[0042] Obtaining total household load data and household power limit data, and comparing the total household load data with the household power limit data;

[0043] Obtaining the household load operation state according to the comparison result, including an overload state or a stable operation state;

[0044] If the household total load data is greater than the household limit power data, the household load operation state is an overload state;

[0045] If the total household load data is less than or equal to the household power limit data, the household load operation state is a stable operation state.

[0046] Optionally, in the multi-device based power reduction energy dispatching and control system described in the present application, acquiring energy storage standard output data and energy storage real-time output data according to the household load operation state, and obtaining the power safety adjustment mode according to the energy storage standard output data and energy storage real-time output data, specifically includes:

[0047] Determining the operating state of the household load;

[0048] If the household load operation state is an overload state, obtaining energy storage standard output data and energy storage real-time output data;

[0049] Compare the standard output data of energy storage with the real-time output data of energy storage to obtain a safe electricity adjustment mode, including a mode of increasing power supply capacity or a mode of reducing household load;

[0050] If the energy storage real-time output data is equal to the energy storage standard output data, the electricity safety adjustment mode is a household load reduction mode;

[0051] If the real-time output data of the energy storage is less than the standard output data of the energy storage, the power safety adjustment mode is a mode of increasing the power supply capacity.

[0052] In the third aspect, the present application also provides a readable storage medium, which stores a power reduction energy scheduling control method program based on multiple devices. When the power reduction energy scheduling control method program based on multiple devices is executed by a processor, the steps of a power reduction energy scheduling control method based on multiple devices as described in any one of the above items are implemented.

[0053] As can be seen from the above, the present application provides a method, system and medium for power reduction energy dispatch control based on multiple devices. The method obtains the total household load data and the household power restriction data, and processes them to obtain the household load operation status, obtains the power safety adjustment mode according to the obtained energy storage standard output data and energy storage real-time output data, adjusts the power supply capacity or household load according to the power safety adjustment mode, and clarifies the specific methods of reducing the household load mode and increasing the power supply capacity mode; thus, the power reduction energy dispatch control technology is realized by judging the household load operation status and obtaining the power safety adjustment mode.

[0054] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures particularly pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 A flowchart of a multi-device based power reduction energy scheduling control method provided in an embodiment of the present application;

[0057] Figure 2 A flowchart of obtaining the operating status of household loads in a multi-device based power reduction energy scheduling control method provided in an embodiment of the present application;

[0058] Figure 3 A flowchart of obtaining a power safety adjustment mode based on a multi-device power reduction energy scheduling control method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0060] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0061] Please refer to Figure 1 , Figure 1 The flowchart of the power reduction energy scheduling control method based on multiple devices in some embodiments of the present application. The power reduction energy scheduling control method based on multiple devices is used in terminal devices, such as computers, mobile phones, etc. The power reduction energy scheduling control method based on multiple devices includes the following steps:

[0062] S11, obtaining total household load data and household power limit data, and obtaining household load operation status according to comparison between the total household load data and the household power limit data;

[0063] S12, acquiring energy storage standard output data and energy storage real-time output data according to the household load operation status, and obtaining a power safety adjustment mode according to the energy storage standard output data and the energy storage real-time output data;

[0064] S13: adjusting the power supply capacity or household load according to the power safety adjustment mode.

[0065] It should be noted that power reduction means that when the total power of multiple devices used at the same time is greater than the preset household allowable power or the household's real-time maximum supply power, it is necessary to reduce the power of some devices or shut down some devices to reduce the total power in order to achieve the purpose of safe electricity use. Before performing power reduction energy scheduling control, the total household load data and household power limit data must be obtained first. Only after obtaining the total household load data and the household power limit data for comparison and processing can the household load operation status be obtained. When the total household load data exceeds the household power limit data, the energy storage device will be started to supply power, and the corresponding energy storage standard output data and energy storage real-time output data will be obtained. According to the energy storage standard output data and energy storage real-time output data, the power safety adjustment mode is obtained. After obtaining the power safety adjustment mode, the power supply capacity or the power of the household load device can be better adjusted.

[0066] Please refer to Figure 2 , Figure 2 The present invention provides a flowchart of obtaining the operating status of a household load based on a multi-device power reduction energy scheduling control method. According to the embodiment of the present invention, obtaining the household total load data and the household power limit data, and obtaining the household load operating status according to the comparison between the household total load data and the household power limit data specifically includes:

[0067] S21, obtaining total household load data and household limit power data, and comparing the total household load data with the household limit power data;

[0068] S22, obtaining the household load operation state according to the comparison result, including an overload state or a stable operation state;

[0069] S23, if the total household load data is greater than the household limit power data, the household load operation state is an overload state;

[0070] S24: If the total household load data is less than or equal to the household power limit data, the household load operation state is a stable operation state.

[0071] It should be noted that the total household load data is generally obtained through the grid-side meter readings. The household limit power data refers to the maximum power number limited when the grid enters the household. The household power limit of some European household grids is 10kw. After comparing the total household load data with the household limit power data, the household load operating status can be determined. The stable operating status means that the household limit power can meet the total household load.

[0072] Please refer to Figure 3 , Figure 3 The present invention provides a flowchart of a method for controlling power reduction energy scheduling based on multiple devices to obtain a safe electricity use adjustment mode. According to the embodiment of the present invention, the energy storage standard output data and the energy storage real-time output data are obtained according to the operating state of the household load, and the energy storage standard output data and the energy storage real-time output data are processed to obtain the safe electricity use adjustment mode, which specifically includes:

[0073] S31, determining the operating status of the household load;

[0074] S32, if the household load operation state is an overload state, obtaining energy storage standard output data and energy storage real-time output data;

[0075] S33, comparing the energy storage standard output data and the energy storage real-time output data to obtain a power safety adjustment mode, including a power supply capacity increase mode or a household load reduction mode;

[0076] S34, if the real-time output data of the energy storage is equal to the standard output data of the energy storage, the electricity safety adjustment mode is a household load reduction mode;

[0077] S35. If the real-time output data of the energy storage is less than the standard output data of the energy storage, the power safety adjustment mode is a mode of increasing power supply capacity.

[0078] It should be noted that, due to the different processing methods corresponding to the overload state or the stable operation state, after obtaining the household load operation state, when performing the next step, it is necessary to obtain different processing methods according to the household load operation state. When the household load operation state is overloaded, it is necessary to obtain the energy storage standard output data and the energy storage real-time output data. The energy storage standard output data refers to the standard power that the energy storage device can output. By comparing the energy storage standard output data and the energy storage real-time output data, it can be analyzed whether the energy storage device can continue to output power. If the energy storage real-time output data is equal to the energy storage standard output data, it means that the energy storage device has reached the standard output power, and the energy storage device can no longer increase the output power. Therefore, for the sake of electricity safety, the electricity safety adjustment mode is to reduce the household load mode; if the energy storage real-time output data is less than the energy storage standard output data, it means that the energy storage device can increase the output power, and the electricity safety adjustment mode is to increase the power supply capacity mode.

[0079] According to an embodiment of the present invention, the household load reduction mode specifically includes:

[0080] Get the current value, the fixed current value for home operation, and the minimum and maximum working currents of high-power equipment;

[0081] According to the current current value, the fixed current value of the household operation, the total household load data, the household power limit data and the real-time output data of the energy storage, the current adjustment evaluation model is used to obtain the adjusted device current;

[0082] Comparing the adjusted device current with the minimum working current and the maximum working current to obtain a current regulation method;

[0083] If the adjusted device current is greater than or equal to the minimum working current and less than or equal to the maximum working current, the working current of the high-power device is adjusted to the adjusted device current;

[0084] If the adjusted working current is less than the minimum working current, the high-power device will suspend operation and issue an early warning.

[0085] It should be noted that the current current value is the total current value relative to the total household load data, the household operation fixed current value refers to the fixed current in household appliances whose current value cannot be adjusted, and the adjusted device current refers to the adjusted current of high-power equipment; the current adjustment evaluation model is a calculation model obtained after training with a large amount of historical data, through which the adjusted device current can be calculated. The calculation formula for the adjusted device current in the current adjustment evaluation model is:

[0086] ;

[0087] in, is the adjusted device current, , , , , They are the current current value, the fixed current value of the household operation, the total household load data, the household power limit data and the real-time output data of the energy storage. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power reduction energy dispatching control platform).

[0088] According to an embodiment of the present invention, the power supply capability increasing mode specifically includes:

[0089] The total household load data, the household power limit data and the real-time energy storage output data are input into a preset power adjustment evaluation model for processing to obtain the energy storage output demand power;

[0090] Subtract the energy storage standard output data from the energy storage real-time output data to obtain energy storage residual power data;

[0091] Compare the energy storage output required power with the energy storage remaining power data to obtain an increased energy supply state;

[0092] If the energy storage output required power is less than or equal to the energy storage remaining power data, the energy supply state is increased to an adjustable state, corresponding to the energy storage output required power as the energy storage device output increased power;

[0093] If the energy storage output demand power is greater than the energy storage remaining power data, the energy supply state is increased to an insufficient power state, and the energy storage remaining power data is used as the energy storage device output to increase power and issue a power shortage warning.

[0094] It should be noted that the increased power supply capacity mode requires an increase in the output power of the energy storage device. The energy storage output demand power refers to the output power that the energy storage device needs to increase. The calculation formula for the energy storage output demand power in the power adjustment evaluation model is:

[0095] ;

[0096] in, Output power required for energy storage, , , They are household total load data, household power limit data, and energy storage real-time output data.

[0097] According to an embodiment of the present invention, it also includes:

[0098] Obtain historical power generation data, historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data, and historical ultraviolet level data for a preset time period;

[0099] The historical power generation data is used as output, and the historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data and historical ultraviolet level data are used as input for model training to obtain a power generation evaluation model;

[0100] Obtain real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data, and predicted UV level data;

[0101] The real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data and predicted ultraviolet level data are input into a power generation assessment model to obtain predicted power generation data.

[0102] It should be noted that photovoltaic power generation has a certain relationship with the weather and the photovoltaic panels themselves. A power generation evaluation model can be obtained through a large amount of historical data training. In this embodiment, in order to ensure the accuracy of the model, 3 / 4 of the historical power generation data, historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data and historical ultraviolet level data will be used for model training, and the remaining 1 / 4 will be used to verify the correctness of the training model; after obtaining the power generation evaluation model, the predicted power generation data is calculated based on the real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data and predicted ultraviolet level data.

[0103] It is worth mentioning that it also includes:

[0104] Obtain historical temperature difference data, historical power data, historical working time data and historical power consumption data of the heat pump within a preset time period;

[0105] The historical power consumption data is used as the target value, and the historical temperature difference data, historical power data and historical working time data are used as input values, and a heat pump power consumption prediction model is obtained after model training and verification;

[0106] Obtain predicted temperature difference data, predicted power data, and predicted working time data of the heat pump, input the predicted temperature difference data, predicted power data, and predicted working time data into a heat pump power consumption prediction model for processing, and obtain predicted power consumption data of the heat pump;

[0107] The calculation formula of the heat pump power consumption prediction data in the heat pump power consumption prediction model is:

[0108] ;

[0109] in, Predict electricity consumption data for heat pumps, , , They are respectively the predicted temperature difference data, the predicted power data and the predicted working time data. , , They are respectively preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset power reduction energy dispatching and control platform).

[0110] It should be noted that the heat pump is a high-power device, and the prediction of the heat pump power consumption is relatively important. Based on historical data, a heat pump power consumption prediction model can be trained, and then the heat pump predicted power consumption data can be obtained based on the predicted temperature difference data, predicted power data and predicted working time data.

[0111] The present invention also discloses a multi-device based power reduction energy scheduling and control system, comprising a memory and a processor, wherein the memory stores a multi-device based power reduction energy scheduling and control method program, and when the multi-device based power reduction energy scheduling and control method program is executed by the processor, the following steps are implemented:

[0112] Obtaining total household load data and household power limit data, and obtaining household load operation status according to the comparison between the total household load data and the household power limit data;

[0113] Acquire energy storage standard output data and energy storage real-time output data according to the household load operation status, and obtain a power safety adjustment mode according to the energy storage standard output data and energy storage real-time output data;

[0114] The power supply capacity or household load is adjusted according to the power safety adjustment mode.

[0115] It should be noted that power reduction means that when the total power of multiple devices used at the same time is greater than the preset household allowable power or the household's real-time maximum supply power, it is necessary to reduce the power of some devices or shut down some devices to reduce the total power in order to achieve the purpose of safe electricity use. Before performing power reduction energy scheduling control, the total household load data and household power limit data must be obtained first. Only after obtaining the total household load data and the household power limit data for comparison and processing can the household load operation status be obtained. When the total household load data exceeds the household power limit data, the energy storage device will be started to supply power, and the corresponding energy storage standard output data and energy storage real-time output data will be obtained. According to the energy storage standard output data and energy storage real-time output data, the power safety adjustment mode is obtained. After obtaining the power safety adjustment mode, the power supply capacity or the power of the household load device can be better adjusted.

[0116] According to an embodiment of the present invention, the acquiring of the household total load data and the household limit power data, and obtaining the household load operation status according to the comparison between the household total load data and the household limit power data, specifically includes:

[0117] Obtaining total household load data and household power limit data, and comparing the total household load data with the household power limit data;

[0118] Obtaining the household load operation state according to the comparison result, including an overload state or a stable operation state;

[0119] If the household total load data is greater than the household limit power data, the household load operation state is an overload state;

[0120] If the total household load data is less than or equal to the household power limit data, the household load operation state is a stable operation state.

[0121] It should be noted that the total household load data is generally obtained through the grid-side meter readings. The household limit power data refers to the maximum power number limited when the grid enters the household. The household power limit of some European household grids is 10kw. After comparing the total household load data with the household limit power data, the household load operating status can be determined. The stable operating status means that the household limit power can meet the total household load.

[0122] According to an embodiment of the present invention, the step of acquiring the energy storage standard output data and the energy storage real-time output data according to the household load operation state, and obtaining the power safety adjustment mode according to the energy storage standard output data and the energy storage real-time output data, specifically includes:

[0123] Determining the operating state of the household load;

[0124] If the household load operation state is an overload state, obtaining energy storage standard output data and energy storage real-time output data;

[0125] Compare the standard output data of energy storage with the real-time output data of energy storage to obtain a safe electricity adjustment mode, including a mode of increasing power supply capacity or a mode of reducing household load;

[0126] If the energy storage real-time output data is equal to the energy storage standard output data, the electricity safety adjustment mode is a household load reduction mode;

[0127] If the real-time output data of the energy storage is less than the standard output data of the energy storage, the power safety adjustment mode is a mode of increasing the power supply capacity.

[0128] It should be noted that, due to the different processing methods corresponding to the overload state or the stable operation state, after obtaining the household load operation state, when performing the next step, it is necessary to obtain different processing methods according to the household load operation state. When the household load operation state is overloaded, it is necessary to obtain the energy storage standard output data and the energy storage real-time output data. The energy storage standard output data refers to the standard power that the energy storage device can output. By comparing the energy storage standard output data and the energy storage real-time output data, it can be analyzed whether the energy storage device can continue to output power. If the energy storage real-time output data is equal to the energy storage standard output data, it means that the energy storage device has reached the standard output power, and the energy storage device can no longer increase the output power. Therefore, for the sake of electricity safety, the electricity safety adjustment mode is to reduce the household load mode; if the energy storage real-time output data is less than the energy storage standard output data, it means that the energy storage device can increase the output power, and the electricity safety adjustment mode is to increase the power supply capacity mode.

[0129] According to an embodiment of the present invention, the household load reduction mode specifically includes:

[0130] Get the current value, the fixed current value for home operation, and the minimum and maximum working currents of high-power equipment;

[0131] According to the current current value, the fixed current value of the household operation, the total household load data, the household power limit data and the real-time output data of the energy storage, the current adjustment evaluation model is used to obtain the adjusted device current;

[0132] Comparing the adjusted device current with the minimum working current and the maximum working current to obtain a current regulation method;

[0133] If the adjusted device current is greater than or equal to the minimum working current and less than or equal to the maximum working current, the working current of the high-power device is adjusted to the adjusted device current;

[0134] If the adjusted working current is less than the minimum working current, the high-power device will suspend operation and issue an early warning.

[0135] It should be noted that the current current value is the total current value relative to the total household load data, the household operation fixed current value refers to the fixed current in household appliances whose current value cannot be adjusted, and the adjusted device current refers to the adjusted current of high-power equipment; the current adjustment evaluation model is a calculation model obtained after training with a large amount of historical data, through which the adjusted device current can be calculated. The calculation formula for the adjusted device current in the current adjustment evaluation model is:

[0136] ;

[0137] in, is the adjusted device current, , , , , They are the current current value, the fixed current value of the household operation, the total household load data, the household power limit data and the real-time output data of the energy storage. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset power reduction energy dispatching control platform).

[0138] According to an embodiment of the present invention, the power supply capability increasing mode specifically includes:

[0139] The total household load data, the household power limit data and the real-time energy storage output data are input into a preset power adjustment evaluation model for processing to obtain the energy storage output demand power;

[0140] Subtract the energy storage standard output data from the energy storage real-time output data to obtain energy storage residual power data;

[0141] Compare the energy storage output required power with the energy storage remaining power data to obtain an increased energy supply state;

[0142] If the energy storage output required power is less than or equal to the energy storage remaining power data, the energy supply state is increased to an adjustable state, corresponding to the energy storage output required power as the energy storage device output increased power;

[0143] If the energy storage output demand power is greater than the energy storage remaining power data, the energy supply state is increased to an insufficient power state, and the energy storage remaining power data is used as the energy storage device output to increase power and issue a power shortage warning.

[0144] It should be noted that the increased power supply capacity mode requires an increase in the output power of the energy storage device. The energy storage output demand power refers to the output power that the energy storage device needs to increase. The calculation formula for the energy storage output demand power in the power adjustment evaluation model is:

[0145] ;

[0146] in, Output power required for energy storage, , , They are household total load data, household power limit data, and energy storage real-time output data.

[0147] According to an embodiment of the present invention, it also includes:

[0148] Obtain historical power generation data, historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data, and historical ultraviolet level data for a preset time period;

[0149] The historical power generation data is used as output, and the historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data and historical ultraviolet level data are used as input for model training to obtain a power generation evaluation model;

[0150] Obtain real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data, and predicted UV level data;

[0151] The real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data and predicted ultraviolet level data are input into a power generation assessment model to obtain predicted power generation data.

[0152] It should be noted that photovoltaic power generation has a certain relationship with the weather and the photovoltaic panels themselves. A power generation evaluation model can be obtained through a large amount of historical data training. In this embodiment, in order to ensure the accuracy of the model, 3 / 4 of the historical power generation data, historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data and historical ultraviolet level data will be used for model training, and the remaining 1 / 4 will be used to verify the correctness of the training model; after obtaining the power generation evaluation model, the predicted power generation data is calculated based on the real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data and predicted ultraviolet level data.

[0153] It is worth mentioning that it also includes:

[0154] Obtain historical temperature difference data, historical power data, historical working time data and historical power consumption data of the heat pump within a preset time period;

[0155] The historical power consumption data is used as the target value, and the historical temperature difference data, historical power data and historical working time data are used as input values, and a heat pump power consumption prediction model is obtained after model training and verification;

[0156] Obtain predicted temperature difference data, predicted power data, and predicted working time data of the heat pump, input the predicted temperature difference data, predicted power data, and predicted working time data into a heat pump power consumption prediction model for processing, and obtain predicted power consumption data of the heat pump;

[0157] The calculation formula of the heat pump power consumption prediction data in the heat pump power consumption prediction model is:

[0158] ;

[0159] in, Predict electricity consumption data for heat pumps, , , They are respectively the predicted temperature difference data, the predicted power data and the predicted working time data. , , They are respectively preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset power reduction energy dispatching and control platform).

[0160] It should be noted that the heat pump is a high-power device, and the prediction of the heat pump power consumption is relatively important. Based on historical data, a heat pump power consumption prediction model can be trained, and then the heat pump predicted power consumption data can be obtained based on the predicted temperature difference data, predicted power data and predicted working time data.

[0161] The third aspect of the present invention provides a readable storage medium, which includes a power reduction energy scheduling control method program based on multiple devices. When the power reduction energy scheduling control method program based on multiple devices is executed by a processor, the steps of a power reduction energy scheduling control method based on multiple devices as described in any one of the above items are implemented.

[0162] The present invention discloses a multi-device-based power reduction energy scheduling control method, system and medium, which obtains household total load data and household power restriction data, and processes them to obtain household load operation status, obtains power storage standard output data and energy storage real-time output data according to the obtained processing to obtain a power safety adjustment mode, adjusts the power supply capacity or household load according to the power safety adjustment mode, and clarifies the specific methods of reducing the household load mode and increasing the power supply capacity mode; thereby, the power reduction energy scheduling control technology is realized by judging the household load operation status and obtaining the power safety adjustment mode.

[0163] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0164] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0165] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0166] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0167] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A multi-device based power reduction energy scheduling control method, characterized in that: include: Obtaining the total household load data and the household power limit data, and obtaining the household load operation status according to the comparison between the total household load data and the household power limit data; Acquire energy storage standard output data and energy storage real-time output data according to the household load operation status, and obtain a power safety adjustment mode according to the energy storage standard output data and energy storage real-time output data; Adjusting the power supply capacity or household load according to the power safety adjustment mode; The acquiring of the household total load data and the household limit power data, and obtaining the household load operation status according to the comparison between the household total load data and the household limit power data, specifically includes: Obtaining total household load data and household power limit data, and comparing the total household load data with the household power limit data; Obtaining the household load operation state according to the comparison result, including an overload state or a stable operation state; If the household total load data is greater than the household limit power data, the household load operation state is an overload state; If the household total load data is less than or equal to the household limit power data, the household load operation state is a stable operation state; The step of acquiring the energy storage standard output data and the energy storage real-time output data according to the household load operation state, and obtaining the power consumption safety adjustment mode according to the energy storage standard output data and the energy storage real-time output data is specifically as follows: Determining the operating state of the household load; If the household load operation state is an overload state, obtaining energy storage standard output data and energy storage real-time output data; Compare the standard output data of energy storage with the real-time output data of energy storage to obtain a safe electricity adjustment mode, including a mode of increasing power supply capacity or a mode of reducing household load; If the energy storage real-time output data is equal to the energy storage standard output data, the electricity safety adjustment mode is a household load reduction mode; If the real-time output data of the energy storage is less than the standard output data of the energy storage, the power safety adjustment mode is a mode of increasing the power supply capacity; The household load reduction mode specifically includes: Get the current value, the fixed current value for home operation, and the minimum and maximum working currents of high-power equipment; According to the current current value, the fixed current value of the household operation, the total household load data, the household power limit data and the real-time output data of the energy storage, the current adjustment evaluation model is used to obtain the adjusted device current; Comparing the adjusted device current with the minimum working current and the maximum working current to obtain a current regulation method; If the adjusted device current is greater than or equal to the minimum working current and less than or equal to the maximum working current, the working current of the high-power device is adjusted to the adjusted device current; If the adjusted device current is less than the minimum working current, the high-power device will stop working and issue an early warning.

2. The method for controlling power reduction energy dispatch based on multiple devices according to claim 1 is characterized in that: The mode of increasing power supply capability specifically includes: The total household load data, the household power limit data and the real-time energy storage output data are input into a preset power adjustment evaluation model for processing to obtain the energy storage output demand power; Subtract the energy storage standard output data from the energy storage real-time output data to obtain energy storage residual power data; Compare the energy storage output required power with the energy storage remaining power data to obtain an increased energy supply state; If the energy storage output required power is less than or equal to the energy storage remaining power data, the energy supply state is increased to an adjustable state, corresponding to the energy storage output required power as the energy storage device output increased power; If the energy storage output demand power is greater than the energy storage remaining power data, the energy supply state is increased to an insufficient power state, and the energy storage remaining power data is used as the energy storage device output to increase power and issue a power shortage warning.

3. A method for dispatching and controlling power reduction energy based on multiple devices according to claim 2, characterized in that: Also includes: Obtain historical power generation data, historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data, and historical ultraviolet level data for a preset time period; The historical power generation data is used as output, and the historical photovoltaic power data, historical photovoltaic current data, historical photovoltaic voltage data, historical light intensity data and historical ultraviolet level data are used as input for model training to obtain a power generation evaluation model; Obtain real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data, and predicted UV level data; The real-time photovoltaic power data, real-time photovoltaic current data, real-time photovoltaic voltage data, predicted light intensity data and predicted ultraviolet level data are input into a power generation assessment model to obtain predicted power generation data.

4. A multi-device based power reduction energy dispatching and control system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a multi-device based power reduction energy scheduling control method program, and the multi-device based power reduction energy scheduling control method program is executed by the processor to implement the following steps: Obtaining total household load data and household power limit data, and obtaining household load operation status according to the comparison between the total household load data and the household power limit data; Acquire energy storage standard output data and energy storage real-time output data according to the household load operation status, and obtain a power safety adjustment mode according to the energy storage standard output data and energy storage real-time output data; Adjusting the power supply capacity or household load according to the power safety adjustment mode; The acquiring of the household total load data and the household limit power data, and obtaining the household load operation status according to the comparison between the household total load data and the household limit power data, specifically includes: Obtaining total household load data and household power limit data, and comparing the total household load data with the household power limit data; Obtaining the household load operation state according to the comparison result, including an overload state or a stable operation state; If the household total load data is greater than the household limit power data, the household load operation state is an overload state; If the household total load data is less than or equal to the household limit power data, the household load operation state is a stable operation state; The step of acquiring the energy storage standard output data and the energy storage real-time output data according to the household load operation state, and obtaining the power consumption safety adjustment mode according to the energy storage standard output data and the energy storage real-time output data is specifically as follows: Determining the operating state of the household load; If the household load operation state is an overload state, obtaining energy storage standard output data and energy storage real-time output data; Compare the standard output data of energy storage with the real-time output data of energy storage to obtain a safe electricity adjustment mode, including a mode of increasing power supply capacity or a mode of reducing household load; If the energy storage real-time output data is equal to the energy storage standard output data, the electricity safety adjustment mode is a household load reduction mode; If the real-time output data of the energy storage is less than the standard output data of the energy storage, the power safety adjustment mode is a mode of increasing the power supply capacity; The household load reduction mode specifically includes: Get the current value, the fixed current value for home operation, and the minimum and maximum working currents of high-power equipment; According to the current current value, the fixed current value of the household operation, the total household load data, the household power limit data and the real-time output data of the energy storage, the current adjustment evaluation model is used to obtain the adjusted device current; Comparing the adjusted device current with the minimum working current and the maximum working current to obtain a current regulation method; If the adjusted device current is greater than or equal to the minimum working current and less than or equal to the maximum working current, the working current of the high-power device is adjusted to the adjusted device current; If the adjusted device current is less than the minimum working current, the high-power device will stop working and issue an early warning.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a power reduction energy scheduling control method program based on multiple devices. When the power reduction energy scheduling control method program based on multiple devices is executed by a processor, the steps of the power reduction energy scheduling control method based on multiple devices as described in any one of claims 1 to 3 are implemented.

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