Control method, device and system for real-time scheduling of regional energy storage

Abstract

The invention relates to the technical field of electric energy dispatching, in particular to a control method, device and system for real-time dispatching of regional energy storage, and aims to predict a future electrical load change trend by analyzing power utilization data of a region and control a transformer to charge and discharge energy storage equipment according to the electrical load change trend. Precise dispatching control of the transformer area electric energy is achieved, so that precise and efficient dispatching of the transformer area electric energy is achieved, the utilization efficiency of transformer area energy storage equipment is improved, the stable power supply state of the transformer area is kept, and especially for rural areas with personnel evacuation and high mobility, the system has a good application prospect. The conditions of voltage fluctuation, transformer load imbalance and the like caused by long power supply line and large power utilization peak-valley difference of the rural power grid are improved, the power supply quality and reliability of the rural power grid are improved, and the damage to rural residential power utilization equipment caused by instability of the power grid is reduced; and the stable operation of the power grid can be ensured regardless of the fluctuation of daily power consumption or the power consumption peak in special periods such as holidays and festivals.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy dispatching, and in particular to a control method, device and system for real-time dispatching of regional energy storage. Background Art

[0002] Substation energy storage refers to the storage of electric energy by connecting an energy storage device to the low-voltage side of the substation (the area within the power supply range of the power transformer). It can absorb electric energy during low-power consumption and release electric energy during peak power consumption or when the power grid fails, thereby effectively regulating the balance of supply and demand of electric energy in the substation.

[0003] At present, the main function of energy storage in the substation is to reduce peak load and fill valley, that is, to charge the energy storage battery during the low power consumption period; when the peak power consumption period comes, the energy storage system is discharged to supplement the insufficient power supply of the power grid, thereby smoothing the load curve of the power grid and reducing the peak-to-valley difference of the power grid. However, practice has found that for areas with sparsely distributed personnel, such as rural substations, the population mobility is strong, the power load is low on weekdays, and the power load is suddenly high on holidays. It is impossible to achieve accurate power scheduling through periodic control of power by reducing peak load and filling valley, and thus it is impossible to maintain a stable power supply state in the substation.

[0004] Therefore, it is necessary to propose a new power dispatching method for personnel evacuation areas to achieve accurate power dispatching, thereby maintaining a stable power supply status in the substation area. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a control method, device and system for real-time scheduling of regional energy storage, which can realize accurate scheduling of electric energy in the substation area, thereby maintaining a stable power supply state in the substation area.

[0006] In order to solve the above technical problems, the first aspect of the present invention discloses a control method for real-time scheduling of regional energy storage, which is applied to energy management and control equipment, and comprises:

[0007] The energy management and control device obtains the electricity consumption data of the target area in the past target time period;

[0008] The energy management and control device predicts the future power load change trend of the target area according to the power consumption data corresponding to the target area;

[0009] The energy management and control device controls the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area.

[0010] As an optional implementation, in the first aspect of the present invention, the power consumption data corresponding to the target area includes current data, voltage data and power data of the transformer in the target area within the target time period:

[0011] The energy management and control device predicts the future power load change trend of the target area according to the power consumption data corresponding to the target area, including:

[0012] The energy management and control device determines the active power of the transformer within the target time period according to the current data, voltage data and power data corresponding to the transformer;

[0013] The energy management and control device obtains the rated power of the transformer, and analyzes the user load rate of the target area within the target time period according to the active power corresponding to the transformer and the rated power of the transformer;

[0014] The energy management and control device predicts the future power load change trend of the target area according to the analyzed user load rate corresponding to the target area.

[0015] As an optional implementation manner, in the first aspect of the present invention, the energy management and control device predicts the future power load change trend of the target area according to the analyzed user load rate corresponding to the target area, including:

[0016] The energy management and control device determines whether the user load rate corresponding to the target area is less than or equal to a first preset load rate, and when it is determined that the user load rate corresponding to the target area is less than or equal to the first preset load rate, determines that the power load change trend of the target area is used to indicate that the target area is in a low power consumption period;

[0017] The energy management and control device determines whether the user load rate corresponding to the target area is greater than or equal to a second preset load rate, and when it is determined that the user load rate corresponding to the target area is greater than or equal to the second preset load rate, determines that the power load change trend of the target area is used to indicate that the target area is in a peak power consumption period;

[0018] When it is determined that the user load rate corresponding to the target area is greater than the first preset load rate and less than the second preset load rate, the energy management and control device determines that the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period;

[0019] Wherein, the first preset load rate is smaller than the second preset load rate.

[0020] As an optional implementation, in the first aspect of the present invention, the energy management and control device controls the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area, including:

[0021] When the power load change trend of the target area indicates that the target area is in a low power consumption period, the energy management and control device controls the transformer of the target area to perform a charging operation on the energy storage device according to the user load rate corresponding to the target area;

[0022] When the power load change trend of the target area indicates that the target area is in a peak power consumption period, the energy management and control device controls the transformer of the target area to perform a discharge operation on the energy storage device according to the user load rate corresponding to the target area;

[0023] When the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period, the energy management and control device determines the load capacity of the transformer within the target time period, and performs tracking operations on the power parameters of the transformer in the target area to obtain power parameter tracking results, and controls the transformer in the target area to perform charging and discharging operations on the energy storage device based on the power parameter tracking results, so that the real-time power of the transformer is within the target load capacity range, and the target load capacity range is determined by the load capacity corresponding to the transformer.

[0024] As an optional implementation manner, in the first aspect of the present invention, the power data of the transformer in the target area within the target time period includes a plurality of sub-powers; and the method further includes:

[0025] The energy management and control device calculates the power quantity of all the sub-powers;

[0026] The energy management device calculates the average power as the load capacity of the transformer within the target time period based on the power quantity and all the sub-powers; or, the energy management device determines the median sub-power among all the sub-powers as the load capacity of the transformer within the target time period based on the power quantity and all the sub-powers.

[0027] As an optional implementation, in the first aspect of the present invention, after the energy management and control device obtains the power consumption data of the target area in the past target time period, the method further includes:

[0028] The energy management and control device determines whether there is abnormal power consumption data that does not meet preset data requirements in the acquired power consumption data corresponding to the target area;

[0029] When it is determined that the abnormal power consumption data does not exist, the energy management and control device triggers the operation of predicting the future power load change trend of the target area according to the power consumption data corresponding to the target area;

[0030] When it is determined that the abnormal electricity consumption data exists, the energy management and control device filters out the abnormal electricity consumption data from the electricity consumption data corresponding to the target area, and performs data processing operations on the electricity consumption data corresponding to the target area based on the abnormal electricity consumption data to obtain the processed electricity consumption data corresponding to the target area, and triggers the execution of the operation of predicting the future electricity load change trend of the target area based on the electricity consumption data corresponding to the target area.

[0031] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0032] The energy management and control device acquires the power grid data of the target area, and analyzes whether a power grid in the target area fails according to the power grid data of the target area;

[0033] When it is analyzed that the power grid in the target area fails, the energy management and control device controls the working mode of the energy storage device to switch to a preset off-grid power supply mode;

[0034] When the working mode of the energy storage device is switched to the preset off-grid power supply mode, the energy management and control device controls the energy storage device to perform a power supply operation for a predetermined target device.

[0035] As an optional implementation manner, in the first aspect of the present invention, the energy management and control device analyzes whether a power grid in the target area fails according to the power grid data of the target area, including:

[0036] When the power grid data of the target area includes the real-time status of the transformer of the target area, the energy management and control device determines whether the transformer is in a power-off state according to the real-time status of the transformer, and when it is determined that the transformer is in a power-off state, determines that a power grid of the target area fails;

[0037] When the power grid data of the target area includes the power grid frequency of the target area, the energy management and control device determines whether the power grid frequency of the target area is within a predetermined abnormal power grid frequency range, and when it is determined that the power grid frequency is within the abnormal power grid frequency range, determines that a power grid failure occurs in the target area;

[0038] When the power grid data of the target area includes the power grid phase voltage data of the target area, the energy management and control device analyzes the power grid phase voltage fluctuation of the target area according to the power grid phase voltage data of the target area, and determines whether the power grid phase voltage fluctuation of the target area is used to indicate that the power grid phase voltage fluctuation amplitude-frequency of the target area is greater than or equal to a preset phase voltage fluctuation amplitude-frequency; when it is determined that it is greater than or equal to the phase voltage fluctuation amplitude-frequency, it is determined that a power grid fault occurs in the target area.

[0039] A second aspect of the present invention discloses a control device for real-time scheduling of regional energy storage, the device is applied to the energy management and control equipment, and the device includes:

[0040] An acquisition module, used to acquire power consumption data of a target area in a past target time period from a battery management device;

[0041] A prediction module, used to predict the future power load change trend of the target area according to the power consumption data corresponding to the target area;

[0042] The control module is used to control the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area.

[0043] As an optional implementation, in the second aspect of the present invention, the power consumption data corresponding to the target area includes current data, voltage data and power data of the transformer in the target area within the target time period:

[0044] The specific method in which the prediction module predicts the future power load change trend of the target area according to the power consumption data corresponding to the target area includes:

[0045] Determining the active power of the transformer within the target time period according to the current data, voltage data and power data corresponding to the transformer;

[0046] Acquire the rated power of the transformer, and analyze the user load rate of the target area within the target time period according to the active power corresponding to the transformer and the rated power of the transformer;

[0047] According to the analyzed user load rate corresponding to the target area, the future power load change trend of the target area is predicted.

[0048] As an optional implementation, in the second aspect of the present invention, the prediction module predicts the future power load change trend of the target area according to the analyzed user load rate corresponding to the target area, including:

[0049] Determining whether the user load rate corresponding to the target area is less than or equal to a first preset load rate, and when it is determined that the user load rate corresponding to the target area is less than or equal to the first preset load rate, determining that the power load change trend of the target area is used to indicate that the target area is in a power consumption valley period;

[0050] Determining whether the user load rate corresponding to the target area is greater than or equal to a second preset load rate, and when it is determined that the user load rate corresponding to the target area is greater than or equal to the second preset load rate, determining that the power load change trend of the target area is used to indicate that the target area is in a peak power consumption period;

[0051] When it is determined that the user load rate corresponding to the target area is greater than the first preset load rate and less than the second preset load rate, determining that the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period;

[0052] Wherein, the first preset load rate is smaller than the second preset load rate.

[0053] As an optional implementation, in the second aspect of the present invention, the control module controls the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area, including:

[0054] When the power load variation trend of the target area indicates that the target area is in a low power consumption period, controlling the transformer of the target area to perform a charging operation on the energy storage device according to the user load rate corresponding to the target area;

[0055] When the power load variation trend of the target area indicates that the target area is in a peak power consumption period, controlling the transformer of the target area to perform a discharge operation on the energy storage device according to the user load rate corresponding to the target area;

[0056] When the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period, the load capacity of the transformer in the target time period is determined, and the power parameter of the transformer in the target area is tracked to obtain a power parameter tracking result, and according to the power parameter tracking result, the transformer in the target area is controlled to perform charging and discharging operations on the energy storage device, so that the real-time power of the transformer is within a target load capacity range, and the target load capacity range is determined by the load capacity corresponding to the transformer.

[0057] As an optional implementation, in the second aspect of the present invention, the power data of the transformer in the target area within the target time period includes multiple sub-powers; the energy management and control device also includes:

[0058] A calculation module, used for calculating the power quantity of all the sub-powers;

[0059] The determination module is also used to calculate the average power as the load capacity of the transformer within the target time period based on the power quantity and all the sub-powers; or, based on the power quantity and all the sub-powers, determine the median sub-power among all the sub-powers as the load capacity of the transformer within the target time period.

[0060] As an optional implementation, in the second aspect of the present invention, the energy management and control device further includes:

[0061] A judgment module, configured to judge whether there is abnormal power consumption data that does not meet the preset data requirements in the acquired power consumption data corresponding to the target area after the acquisition module acquires the power consumption data of the target area in the past target time period from the battery management device; when it is judged that there is no abnormal power consumption data, trigger the prediction module to perform the operation of predicting the future power load change trend of the target area based on the power consumption data corresponding to the target area;

[0062] a screening module, configured to screen out the abnormal power usage data from the power usage data corresponding to the target area when it is determined that the abnormal power usage data exists;

[0063] A processing module is used to perform a data processing operation on the power consumption data corresponding to the target area according to the abnormal power consumption data, obtain the processed power consumption data corresponding to the target area, and trigger the prediction module to perform the operation of predicting the future power load change trend of the target area according to the power consumption data corresponding to the target area.

[0064] As an optional implementation, in the second aspect of the present invention, the energy management and control device further includes:

[0065] The acquisition module is further used to acquire the power grid data of the target area;

[0066] An analysis module, used for analyzing whether a power grid in the target area fails according to the power grid data in the target area;

[0067] The control module is further configured to control the working mode of the energy storage device to switch to a preset off-grid power supply mode when a power grid failure in the target area is analyzed;

[0068] The control module is further configured to control the energy storage device to perform a power supply operation for a predetermined target device when the working mode of the energy storage device is switched to the preset off-grid power supply mode.

[0069] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the analysis module analyzes whether a fault occurs in the power grid of the target area according to the power grid data of the target area includes:

[0070] When the power grid data of the target area includes the real-time status of the transformer of the target area, judging whether the transformer is in a power-off state according to the real-time status of the transformer, and when judging that the transformer is in a power-off state, determining that the power grid of the target area fails;

[0071] When the power grid data of the target area includes the power grid frequency of the target area, determining whether the power grid frequency of the target area is within a predetermined abnormal power grid frequency range, and when it is determined that the power grid frequency is within the abnormal power grid frequency range, determining that a power grid failure occurs in the target area;

[0072] When the power grid data of the target area includes the power grid phase voltage data of the target area, the power grid phase voltage fluctuation of the target area is analyzed according to the power grid phase voltage data of the target area, and it is determined whether the power grid phase voltage fluctuation of the target area is used to indicate that the power grid phase voltage fluctuation amplitude-frequency of the target area is greater than or equal to a preset phase voltage fluctuation amplitude-frequency; when it is determined that it is greater than or equal to the phase voltage fluctuation amplitude-frequency, it is determined that a power grid fault has occurred in the target area.

[0073] A third aspect of the present invention discloses an energy management and control device, the energy management and control device comprising:

[0074] A memory storing executable program code;

[0075] a processor coupled to the memory;

[0076] The processor calls the executable program code stored in the memory to execute the control method for real-time scheduling of regional energy storage disclosed in the first aspect of the present invention.

[0077] The fourth aspect of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the control method for real-time scheduling of regional energy storage disclosed in the first aspect of the present invention.

[0078] A fifth aspect of the present invention discloses an electric energy dispatching and control system, the electric energy dispatching and control system comprising an energy management and control device, an energy storage device, a transformer and a battery management device, wherein the battery management device, the transformer and the energy storage device are respectively connected to the energy management and control device, the battery management device is installed on the energy storage device and connected to the energy storage device, and the transformer is connected to the energy storage device;

[0079] Among them, the energy management and control device is used to execute the control method for real-time scheduling of regional energy storage disclosed in the first aspect of the present invention, and performs charging or discharging operations on the energy storage device through the transformer and the battery management device.

[0080] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0081] In an embodiment of the present invention, an energy management and control device obtains electricity consumption data of a target area in a past target time period; the energy management and control device predicts the future electricity load change trend of the target area based on the electricity consumption data corresponding to the target area; the energy management and control device controls the transformer to perform an energy dispatching operation on the energy storage device that matches the electricity load change trend of the target area based on the electricity load change trend of the target area, which can realize accurate dispatching and control of the power of the substation, thereby realizing accurate and efficient dispatching of the power of the substation and improving the utilization efficiency of the energy storage device of the substation, thereby maintaining a stable power supply state of the substation, especially for rural areas with evacuation of personnel and strong mobility, improving the voltage fluctuation and transformer load imbalance caused by long power supply lines and large peak-to-valley differences in power consumption in rural power grids, improving the power supply quality and reliability of rural power grids, and reducing the damage to rural residents' electrical equipment caused by unstable power grids; and enhancing the stability and adaptability of rural power grids, being able to cope with the complex and changeable power consumption environment in rural areas, whether it is the fluctuation of daily power consumption or the peak of power consumption during special periods such as holidays, it can ensure the smooth operation of the power grid and provide reliable power support for rural economic development and residents' lives. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0083] Figure 1 It is a flow chart of a control method for real-time scheduling of regional energy storage disclosed in an embodiment of the present invention;

[0084] Figure 2 It is a structural schematic diagram of a control device for real-time scheduling of regional energy storage disclosed in an embodiment of the present invention;

[0085] Figure 3 It is a structural schematic diagram of another control device for real-time scheduling of regional energy storage disclosed in an embodiment of the present invention;

[0086] Figure 4It is a structural schematic diagram of an energy management and control device disclosed in an embodiment of the present invention;

[0087] Figure 5 It is a structural schematic diagram of an electric energy dispatching control system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0088] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0089] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0090] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0091] The present invention discloses a control method, device and system for real-time dispatching of regional energy storage. Through regional electricity consumption data, the future electricity load change trend is predicted, and according to the electricity load change trend, the transformer is controlled to discharge or charge the energy storage device, so as to realize the precise dispatching and control of the power of the substation area, thereby realizing the precise and efficient dispatching of the power of the substation area and improving the utilization efficiency of the energy storage device of the substation area, thereby maintaining the stable power supply state of the substation area, especially for rural areas with evacuation of personnel and strong mobility, improving the voltage fluctuation and transformer load imbalance caused by the long power supply line and the large peak-to-valley difference of electricity consumption in the rural power grid, improving the power supply quality and reliability of the rural power grid, reducing the damage to the electrical equipment of rural residents caused by the instability of the power grid; and enhancing the stability and adaptability of the rural power grid, being able to cope with the complex and changeable power consumption environment in rural areas, whether it is the fluctuation of daily electricity consumption or the peak of electricity consumption during special periods such as holidays, it can ensure the smooth operation of the power grid and provide reliable power support for the economic development and residents' lives in rural areas. The following are detailed descriptions.

[0092] Embodiment 1

[0093] See also Figure 1 , Figure 1 : is a flow chart of a control method for real-time dispatch of regional energy storage disclosed in an embodiment of the present invention. Figure 1 The described method can be applied to any area where power dispatch is required, especially areas with large population evacuation and high mobility, such as rural areas. Figure 1 As shown, the method may include the following operations:

[0094] 101. The energy management and control equipment obtains the electricity consumption data of the target area in the past target time period.

[0095] In the embodiment of the present invention, the target area is optionally any area that needs to be dispatched for electric energy. Optionally, the target time period may be a time period in the past one month, half a month, or one month, etc., without limitation.

[0096] In an embodiment of the present invention, optionally, the power consumption data corresponding to the target area may include the current data, voltage data and power data of the transformer in the target area within the target time period. Optionally, the energy management and control device may obtain the corresponding power consumption data from the battery management device, or may obtain the corresponding power consumption data from the transformer. Among them, the power consumption data obtained from the battery management device includes the voltage and current data of the battery in the energy storage device. By analyzing the voltage and current data, the power consumption data corresponding to the transformer can be obtained.

[0097] 102. The energy management and control equipment predicts the future power load change trend of the target area based on the power consumption data corresponding to the target area.

[0098] 103. The energy management and control equipment controls the transformer to perform power dispatching operations on the energy storage equipment that match the power load change trend in the target area according to the power load change trend in the target area.

[0099] In the embodiment of the present invention, the transformer is connected to the energy storage device, and the battery management device is installed on the energy storage device and connected to the energy storage device. The electric energy of the energy storage device is boosted by the transformer and transmitted to the power grid, so as to be discharged to the power consumption equipment in the target area, or the voltage of the power grid is stepped down by the transformer to charge the energy storage device.

[0100] It can be seen that the implementation of the present invention analyzes the regional electricity consumption data, predicts the future electricity load change trend, and controls the transformer to discharge or charge the energy storage device according to the electricity load change trend, so as to realize the precise dispatching and control of the power of the substation, thereby realizing the precise and efficient dispatching of the power of the substation and improving the utilization efficiency of the energy storage equipment in the substation, thereby maintaining the stable power supply state of the substation. Especially for rural areas with evacuation of personnel and high mobility, it improves the voltage fluctuation and transformer load imbalance caused by the long power supply lines and large peak-to-valley difference of electricity consumption in rural power grids, improves the power supply quality and reliability of rural power grids, and reduces the damage to rural residents' electrical equipment caused by unstable power grids; and enhances the stability and adaptability of rural power grids, so as to cope with the complex and changeable power consumption environment in rural areas, whether it is the fluctuation of daily electricity consumption or the peak of electricity consumption in special periods such as holidays, it can ensure the smooth operation of the power grid and provide reliable power support for rural economic development and residents' lives.

[0101] In the embodiment of the present invention, optionally, the energy management and control device predicts the future power load change trend of the target area according to the power consumption data corresponding to the target area, including:

[0102] The energy management and control equipment determines the active power of the transformer within the target time period based on the current data, voltage data and power data corresponding to the transformer;

[0103] The energy management and control equipment obtains the rated power of the transformer, and analyzes the user load rate of the target area within the target time period based on the active power corresponding to the transformer and the rated power of the transformer;

[0104] The energy management and control equipment predicts the future power load change trend of the target area based on the analyzed user load rate corresponding to the target area.

[0105] In the embodiment of the present invention, further optionally, the energy management and control device predicts the future power load change trend of the target area according to the analyzed user load rate corresponding to the target area, including:

[0106] The energy management and control device determines whether the user load rate corresponding to the target area is less than or equal to a first preset load rate (such as 20%). When it is determined that the user load rate corresponding to the target area is less than or equal to the first preset load rate, the power load change trend of the target area is determined to indicate that the target area is in a low power consumption period.

[0107] The energy management and control device determines whether the user load rate corresponding to the target area is greater than or equal to a second preset load rate (such as 80%). When it is determined that the user load rate corresponding to the target area is greater than or equal to the second preset load rate, the power load change trend of the target area is determined to indicate that the target area is in a peak power consumption period;

[0108] When it is determined that the user load rate corresponding to the target area is greater than the first preset load rate and less than the second preset load rate, the energy management and control device determines that the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period;

[0109] The first preset load rate is smaller than the second preset load rate.

[0110] In the embodiment of the present invention, optionally, the active power of the transformer in the target time period is determined according to the current data, voltage data and power data corresponding to the transformer. Further, the active power of the transformer in the target time period can also be determined in combination with a pre-determined power factor.

[0111] In the embodiment of the present invention, optionally, the active power corresponding to the transformer is divided by the rated power corresponding to the transformer to obtain the user load rate of the target area in the target time period.

[0112] In an embodiment of the present invention, when the target area is in a period of low electricity consumption, it means that the electricity consumption behavior of users in the target area is idle, that is, no or very few users are using electricity; when the target area is in a period of peak electricity consumption, it means that the electricity consumption behavior of users in the target area is busy, that is, basically all users or all users are using electricity, and even the electricity consumption equipment of relatively many users are using electricity; among which, the electricity consumption behavior of users corresponding to the normal electricity consumption period is between the low electricity consumption period and the peak electricity consumption period.

[0113] It can be seen that the embodiment of the present invention can improve the analysis accuracy of the active power of the transformer by analyzing the current data, voltage data, and power data of the transformer over a period of time, which is beneficial to improving the prediction accuracy of the future power load change trend of the region, and further beneficial to further improve the accuracy and reliability of regional power scheduling; and by comparing the user load rate of the region with the two preset user load rates, the prediction efficiency of the power load change trend is improved while achieving accurate prediction of the power load change trend, which is beneficial to improving the efficiency of regional power scheduling.

[0114] In the embodiment of the present invention, optionally, the energy management and control device controls the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area, including:

[0115] When the power load change trend of the target area indicates that the target area is in a low power consumption period, the energy management and control device controls the transformer in the target area to charge the energy storage device according to the user load rate corresponding to the target area;

[0116] When the power load change trend of the target area indicates that the target area is in a peak power consumption period, the energy management and control device controls the transformer of the target area to perform a discharge operation on the energy storage device according to the user load rate corresponding to the target area;

[0117] When the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period, the energy management and control device determines the load capacity of the transformer within the target time period, and performs tracking operations on the power parameters of the transformer in the target area to obtain power parameter tracking results, and controls the transformer in the target area to perform charging and discharging operations on the energy storage device based on the power parameter tracking results, so that the real-time power of the transformer is within the target load capacity range, and the target load capacity range is determined by the load capacity corresponding to the transformer.

[0118] In the embodiment of the present invention, during the off-peak period of electricity consumption, the control transformer is used to step up the voltage in the power grid to charge the energy storage device; during the peak period of electricity consumption, the control transformer is used to step down the voltage output from the energy storage device, and then transmits it to the users in the target area through the power grid; during the normal period of electricity consumption, the control transformer is used to step down the voltage output from the energy storage device, and then transmits it to the users in the target area through the power grid, and the control transformer is used to step up the voltage in the power grid to charge the energy storage device, and the process is repeated.

[0119] It can be seen that the embodiment of the present invention can accurately control the transformer through the electricity consumption period type of the area analyzed above, so that the transformer can accurately charge and discharge the energy storage device, thereby realizing accurate and efficient scheduling of regional electric energy and improving the utilization efficiency of the energy storage equipment in the substation, thereby maintaining a stable power supply state in the substation.

[0120] In an optional embodiment, the power data of the transformer in the target area within the target time period includes multiple sub-powers; the method may further include the following steps:

[0121] The energy management and control equipment calculates the power quantity of all sub-powers;

[0122] The energy management and control device calculates the average power as the load capacity of the transformer within the target time period based on the power quantity and all sub-powers; or, the energy management and control device determines the median sub-power among all sub-powers as the load capacity of the transformer within the target time period based on the power quantity and all sub-powers.

[0123] In this optional embodiment, the load capacity may optionally be corrected based on the active power corresponding to the target area, such as taking the average of the two as the final load capacity.

[0124] It can be seen that this optional embodiment can accurately determine the load capacity by obtaining the average power value over a period of time or taking the median power as the load capacity of the transformer during the target time period, which is beneficial to the accurate scheduling of electric energy during normal electricity consumption in the region and further improves the power supply quality and reliability of the rural power grid.

[0125] In another optional embodiment, after the energy management and control device obtains the power consumption data of the target area in the past target time period, the method may further include the following steps:

[0126] The energy management and control device determines whether there is abnormal power consumption data that does not meet the preset data requirements in the power consumption data corresponding to the acquired target area;

[0127] When it is determined that there is no abnormal power consumption data, the energy management and control device triggers the above operation of predicting the future power load change trend of the target area based on the power consumption data corresponding to the target area;

[0128] When it is determined that abnormal electricity consumption data exists, the energy management and control device filters out the abnormal electricity consumption data from the electricity consumption data corresponding to the target area, and performs data processing operations on the electricity consumption data corresponding to the target area based on the abnormal electricity consumption data, to obtain the processed electricity consumption data corresponding to the target area, and triggers the execution of the above-mentioned operation of predicting the future electricity load change trend of the target area based on the electricity consumption data corresponding to the target area.

[0129] In this optional embodiment, the data that does not meet the preset data requirements may include, but is not limited to, data that exceeds the corresponding preset parameter range and / or data with a wrong data format (such as an incorrect data type or a data packet that does not conform to a predetermined protocol) and / or data with packet loss. Among them, the preset parameter range may be a parameter range for normal operation of the device, or a parameter range determined based on data over a period of time in the past. Among them, the data with different preset data requirements have different corresponding data processing methods. Specifically, for data that exceeds the corresponding preset parameter range, it can be directly deleted, or data in the median or mean data can be selected to replace abnormal power consumption data. For data with wrong data format, the data with wrong data format is converted to the required data format. For packet loss data, it is generally due to communication errors, and the corresponding data can be re-collected when the communication network is monitored to be normal. For example, for voltages of 10V, 11V, 10.5V, and 13V, at this time, 13V exceeds the preset parameter range of 9.5V-11V, then 13V can be directly deleted, or its mean 10.5V or median 10.5V can be taken to replace 13V.

[0130] It can be seen that after obtaining the electricity consumption data, this optional embodiment further analyzes whether it meets the data requirements, and when the analysis shows that it meets the requirements, continues to predict the future electricity load change trend. If it does not meet the requirements, the corresponding data processing method is selected according to different situations to process the data to ensure the accuracy and reliability of the electricity consumption data used, which is conducive to further improving the prediction accuracy of the electricity load change trend, and then helping to improve the control accuracy of regional power scheduling.

[0131] In yet another optional embodiment, the method may further include the following steps:

[0132] The energy control equipment obtains the power grid data of the target area, and analyzes whether the power grid in the target area has a fault based on the power grid data of the target area;

[0133] When it is analyzed that the power grid in the target area fails, the energy management and control device controls the working mode of the energy storage device to switch to the preset off-grid power supply mode;

[0134] When the working mode of the energy storage device is switched to the preset off-grid power supply mode, the energy management and control device controls the energy storage device to perform power supply operations for the predetermined target device.

[0135] In this optional embodiment, optionally, when it is analyzed that the power grid in the target area has not failed, the above-mentioned operation of obtaining the power grid data of the target area is re-executed.

[0136] In this optional embodiment, the target device may optionally be a public service device, such as a device in a hospital, school, government, or the like.

[0137] In this optional embodiment, optionally, the energy management and control device analyzes whether a power grid in the target area fails according to the power grid data in the target area, including:

[0138] When the power grid data of the target area includes the real-time status of the transformer in the target area, the energy management and control device determines whether the transformer is in a power-off state according to the real-time status of the transformer, and when it is determined that the transformer is in a power-off state, it is determined that the power grid in the target area has a fault;

[0139] When the power grid data of the target area includes the power grid frequency of the target area, the energy management and control device determines whether the power grid frequency of the target area is within a predetermined abnormal power grid frequency range, and when it is determined that it is within the abnormal power grid frequency range, it is determined that a power grid failure occurs in the target area;

[0140] When the power grid data of the target area includes the power grid phase voltage data of the target area, the energy management and control equipment analyzes the power grid phase voltage fluctuation in the target area based on the power grid phase voltage data of the target area, and determines whether the power grid phase voltage fluctuation in the target area is used to indicate that the power grid phase voltage fluctuation amplitude frequency in the target area is greater than or equal to the preset phase voltage fluctuation amplitude frequency; when it is determined that it is greater than or equal to the phase voltage fluctuation amplitude frequency, it is determined that a power grid fault has occurred in the target area.

[0141] In this optional embodiment, optionally, when it is determined that the transformer is not in a power-off state, or the grid phase voltage fluctuation amplitude frequency of the target area is less than a preset phase voltage fluctuation amplitude frequency, or the grid frequency of the target area is not within a predetermined abnormal grid frequency range, it is determined that the grid in the target area has not failed.

[0142] In this optional embodiment, the grid phase voltage data may be grid three-phase voltage data and / or grid five-phase voltage data or other phase voltage data.

[0143] It can be seen that this optional embodiment, during the process of intelligent dispatching and controlling regional electric energy, simultaneously performs grid fault analysis based on grid data, and provides electric energy to important equipment when a grid fault is analyzed, thereby improving the accuracy of regional electric energy dispatching and ensuring that regional public services or important services can be provided normally; and grid faults are analyzed through regional grid frequency, real-time status of transformers and grid phase voltage data, thereby improving the accuracy and efficiency of grid fault analysis, which is conducive to further improving the accuracy of electric energy dispatching.

[0144] Embodiment 2

[0145] See also Figure 2 , Figure 2Schematic diagram of a control device for real-time dispatching of regional energy storage disclosed in an embodiment of the present invention. Figure 2 The described device can be used in any area where power dispatch is required, especially in areas with large personnel evacuation and high mobility, such as rural areas. Figure 2 As shown, the device may include:

[0146] An acquisition module 201 is used to acquire power consumption data of a target area in a past target time period from a battery management device;

[0147] The prediction module 202 is used to predict the future power load change trend of the target area based on the power consumption data corresponding to the target area;

[0148] The control module 203 is used to control the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area.

[0149] It can be seen that implementation Figure 2 The described device analyzes the regional electricity consumption data to predict the future trend of electricity load changes, and controls the transformer to discharge or charge the energy storage device according to the trend of electricity load changes, thereby realizing accurate dispatching and control of the power in the substation area, thereby realizing accurate and efficient dispatching of the power in the substation area and improving the utilization efficiency of the energy storage equipment in the substation area, thereby maintaining a stable power supply state in the substation area. Especially for rural areas with evacuation of personnel and high mobility, it improves the voltage fluctuations and transformer load imbalance caused by long power supply lines and large peak-to-valley differences in electricity consumption in rural power grids, improves the power supply quality and reliability of rural power grids, and reduces the damage to rural residents' electrical equipment caused by unstable power grids; and enhances the stability and adaptability of rural power grids, so as to cope with the complex and changeable power consumption environment in rural areas. Whether it is the fluctuation of daily electricity consumption or the peak of electricity consumption during special periods such as holidays, it can ensure the smooth operation of the power grid and provide reliable power support for rural economic development and residents' lives.

[0150] In the embodiment of the present invention, optionally, the power consumption data corresponding to the target area includes current data, voltage data and power data of the transformer in the target area within the target time period:

[0151] The specific method of predicting the future power load change trend of the target area by the prediction module 202 according to the power consumption data corresponding to the target area includes:

[0152] Determine the active power of the transformer within the target time period according to the current data, voltage data and power data corresponding to the transformer;

[0153] Obtain the rated power of the transformer, and analyze the user load rate of the target area within the target time period based on the active power corresponding to the transformer and the rated power of the transformer;

[0154] Based on the analyzed user load rate corresponding to the target area, the future power load change trend of the target area is predicted.

[0155] In the embodiment of the present invention, further optionally, the prediction module 202 predicts the future power load change trend of the target area according to the analyzed user load rate corresponding to the target area, including:

[0156] Determine whether the user load rate corresponding to the target area is less than or equal to a first preset load rate (such as 20%). When it is determined that the user load rate corresponding to the target area is less than or equal to the first preset load rate, determine that the power load change trend of the target area is used to indicate that the target area is in a low power consumption period;

[0157] Determine whether the user load rate corresponding to the target area is greater than or equal to a second preset load rate (such as 80%), and when it is determined that the user load rate corresponding to the target area is greater than or equal to the second preset load rate, determine that the power load change trend of the target area is used to indicate that the target area is in a peak power consumption period;

[0158] When it is determined that the user load rate corresponding to the target area is greater than the first preset load rate and less than the second preset load rate, determining that the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period;

[0159] The first preset load rate is smaller than the second preset load rate.

[0160] It can be seen that implementation Figure 2 The described device can also improve the analysis accuracy of the active power of the transformer by analyzing the current data, voltage data, and power data of the transformer over a period of time, thereby helping to improve the prediction accuracy of the future power load change trend in the region, and thus helping to further improve the accuracy and reliability of regional power scheduling; and by comparing the user load rate of the region with two preset user load rates, while achieving accurate prediction of the power load change trend, the prediction efficiency of the power load change trend is improved, which is conducive to improving the efficiency of regional power scheduling.

[0161] In the embodiment of the present invention, optionally, the control module 203 controls the transformer to perform the specific manner of the electric energy dispatching operation matching the electric energy load change trend of the target area on the energy storage device according to the electric energy load change trend of the target area, including:

[0162] When the power load change trend of the target area indicates that the target area is in a low power consumption period, the transformer of the target area is controlled to perform charging operation on the energy storage device according to the user load rate corresponding to the target area;

[0163] When the power load variation trend of the target area indicates that the target area is in a peak power consumption period, the transformer of the target area is controlled to perform a discharge operation on the energy storage device according to the user load rate corresponding to the target area;

[0164] When the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period, the load capacity of the transformer in the target time period is determined, and the power parameter of the transformer in the target area is tracked to obtain the power parameter tracking result, and according to the power parameter tracking result, the transformer in the target area is controlled to perform charging and discharging operations on the energy storage device, so that the real-time power of the transformer is within the target load capacity range, and the target load capacity range is determined by the load capacity corresponding to the transformer.

[0165] In the embodiment of the present invention, during the off-peak period of electricity consumption, the control transformer is used to step up the voltage in the power grid to charge the energy storage device; during the peak period of electricity consumption, the control transformer is used to step down the voltage output from the energy storage device, and then transmits it to the users in the target area through the power grid; during the normal period of electricity consumption, the control transformer is used to step down the voltage output from the energy storage device, and then transmits it to the users in the target area through the power grid, and the control transformer is used to step up the voltage in the power grid to charge the energy storage device, and the process is repeated.

[0166] It can be seen that implementation Figure 2 The described device can also accurately control the transformer through the type of electricity consumption period in the area analyzed above, so that the transformer can accurately charge and discharge the energy storage device, thereby realizing accurate and efficient scheduling of regional electric energy and improving the utilization efficiency of the energy storage equipment in the substation, thereby maintaining a stable power supply state in the substation.

[0167] In an optional embodiment, the power data of the transformer in the target area within the target time period includes a plurality of sub-powers; Figure 3 is a schematic diagram of the structure of another control device for real-time scheduling of regional energy storage disclosed in an embodiment of the present invention, such as Figure 3 As shown, the energy management and control equipment may also include:

[0168] A calculation module 204, used to calculate the power quantity of all sub-powers;

[0169] The determination module 205 also calculates the average power as the load capacity of the transformer within the target time period based on the power quantity and all sub-powers; or, based on the power quantity and all sub-powers, determines the sub-power in the median of all sub-powers as the load capacity of the transformer within the target time period.

[0170] In this optional embodiment, the load capacity may optionally be corrected based on the active power corresponding to the target area, such as taking the average of the two as the final load capacity.

[0171] It can be seen that this optional embodiment can accurately determine the load capacity by obtaining the average power value over a period of time or taking the median power as the load capacity of the transformer during the target time period, which is beneficial to the accurate scheduling of electric energy during normal electricity consumption in the region and further improves the power supply quality and reliability of the rural power grid.

[0172] In another optional embodiment, Figure 3 As shown, the energy management and control equipment may also include:

[0173] The judgment module 206 is used to judge whether there is abnormal power consumption data that does not meet the preset data requirements in the acquired power consumption data corresponding to the target area after the acquisition module 201 acquires the power consumption data of the target area in the past target time period; when it is judged that there is no abnormal power consumption data, the prediction module 203 is triggered to perform the above-mentioned operation of predicting the future power load change trend of the target area based on the power consumption data corresponding to the target area;

[0174] A screening module 207 is used to screen out abnormal power consumption data from the power consumption data corresponding to the target area when it is determined that there is abnormal power consumption data;

[0175] The processing module 208 is used to perform data processing operations on the power consumption data corresponding to the target area according to the abnormal power consumption data, obtain the processed power consumption data corresponding to the target area, and trigger the prediction module 203 to perform the above-mentioned operation of predicting the future power load change trend of the target area according to the power consumption data corresponding to the target area.

[0176] It can be seen that after obtaining the electricity consumption data, this optional embodiment further analyzes whether it meets the data requirements, and when the analysis shows that it meets the requirements, continues to predict the future electricity load change trend. If it does not meet the requirements, the corresponding data processing method is selected according to different situations to process the data to ensure the accuracy and reliability of the electricity consumption data used, which is conducive to further improving the prediction accuracy of the electricity load change trend, and then helping to improve the control accuracy of regional power scheduling.

[0177] In yet another optional embodiment, Figure 3As shown, the energy management and control equipment may also include:

[0178] The acquisition module 201 is also used to acquire the power grid data of the target area;

[0179] An analysis module 209 is used to analyze whether a power grid in the target area has a fault according to the power grid data in the target area;

[0180] The control module 203 is also used to control the working mode of the energy storage device to switch to a preset off-grid power supply mode when a power grid failure in the target area is analyzed;

[0181] The control module 203 is further configured to control the energy storage device to perform a power supply operation for a predetermined target device when the working mode of the energy storage device is switched to the preset off-grid power supply mode.

[0182] In this optional embodiment, optionally, the specific manner in which the analysis module 209 analyzes whether a power grid in the target area fails according to the power grid data in the target area includes:

[0183] When the power grid data of the target area includes the real-time status of the transformer of the target area, judging whether the transformer is in a power-off state according to the real-time status of the transformer, and when judging that the transformer is in a power-off state, determining that the power grid of the target area fails;

[0184] When the power grid data of the target area includes the power grid frequency of the target area, determining whether the power grid frequency of the target area is within a predetermined abnormal power grid frequency range, and when it is determined that the power grid frequency is within the abnormal power grid frequency range, determining that a power grid failure occurs in the target area;

[0185] When the power grid data of the target area includes the power grid phase voltage data of the target area, the power grid phase voltage fluctuation of the target area is analyzed according to the power grid phase voltage data of the target area, and it is determined whether the power grid phase voltage fluctuation of the target area is used to indicate that the power grid phase voltage fluctuation amplitude frequency of the target area is greater than or equal to the preset phase voltage fluctuation amplitude frequency; when it is determined that it is greater than or equal to the phase voltage fluctuation amplitude frequency, it is determined that a power grid fault has occurred in the target area.

[0186] It can be seen that this optional embodiment, during the process of intelligent dispatching and controlling regional electric energy, simultaneously performs grid fault analysis based on grid data, and provides electric energy to important equipment when a grid fault is analyzed, thereby improving the accuracy of regional electric energy dispatching and ensuring that regional public services or important services can be provided normally; and grid faults are analyzed through regional grid frequency, real-time status of transformers and grid phase voltage data, thereby improving the accuracy and efficiency of grid fault analysis, which is conducive to further improving the accuracy of electric energy dispatching.

[0187] Embodiment 3

[0188] See also Figure 4 , Figure 4 Schematic diagram of the structure of an energy management and control device disclosed in an embodiment of the present invention. The energy management and control device can be applied to any area where power dispatching is required, especially areas with high personnel evacuation and mobility, such as rural areas. Figure 4 As shown, the energy management and control device may include:

[0189] A memory 301 storing executable program codes;

[0190] a processor 302 coupled to the memory 301;

[0191] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the control method for real-time scheduling of regional energy storage described in the first embodiment of the present invention.

[0192] Embodiment 4

[0193] An embodiment of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the control method for real-time scheduling of regional energy storage described in the first embodiment of the present invention.

[0194] Embodiment 5

[0195] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the control method for real-time scheduling of regional energy storage described in Example 1.

[0196] Embodiment 5

[0197] See also Figure 5 , Figure 5 Schematic diagram of the structure of an electric energy dispatching control system disclosed in an embodiment of the present invention. Figure 5 As shown, the electric energy dispatching and control system includes an energy management device 401, an energy storage device 402, a transformer 403 and a battery management device 404, wherein the battery management device 404, the transformer 403 and the energy storage device 402 are respectively connected to the energy management device 401, the battery management device 404 is installed on the energy storage device 402 and connected to the energy storage device 402, and the transformer 403 is connected to the energy storage device 402; wherein the energy management device 401 is used to execute the steps of the control method for real-time scheduling of regional energy storage described in Example 1 and perform charging or discharging operations on the energy storage device 402 through the transformer 403 and the battery management device 404.

[0198] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0199] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0200] Finally, it should be noted that the control method, device and system for real-time scheduling of regional energy storage disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method for real-time dispatching of regional energy storage, characterized in that: The method is applied to energy management and control equipment, and the method includes: The energy management and control device obtains the power consumption data of the target area in the past target time period; The energy management and control device predicts the future power load change trend of the target area according to the power consumption data corresponding to the target area; The energy management and control device controls the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area.

2. The control method for real-time dispatch of regional energy storage according to claim 1, characterized in that: The power consumption data corresponding to the target area includes the current data, voltage data and power data of the transformer in the target area within the target time period: The energy management and control device predicts the future power load change trend of the target area according to the power consumption data corresponding to the target area, including: The energy management and control device determines the active power of the transformer within the target time period according to the current data, voltage data and power data corresponding to the transformer; The energy management and control device obtains the rated power of the transformer, and analyzes the user load rate of the target area within the target time period according to the active power corresponding to the transformer and the rated power of the transformer; The energy management and control device predicts the future power load change trend of the target area according to the analyzed user load rate corresponding to the target area.

3. The control method for real-time dispatch of regional energy storage according to claim 2 is characterized in that: The energy management and control device predicts the future power load change trend of the target area according to the analyzed user load rate corresponding to the target area, including: The energy management and control device determines whether the user load rate corresponding to the target area is less than or equal to a first preset load rate, and when it is determined that the user load rate corresponding to the target area is less than or equal to the first preset load rate, determines that the power load change trend of the target area is used to indicate that the target area is in a low power consumption period; The energy management and control device determines whether the user load rate corresponding to the target area is greater than or equal to a second preset load rate, and when it is determined that the user load rate corresponding to the target area is greater than or equal to the second preset load rate, determines that the power load change trend of the target area is used to indicate that the target area is in a peak power consumption period; When it is determined that the user load rate corresponding to the target area is greater than the first preset load rate and less than the second preset load rate, the energy management and control device determines that the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period; Wherein, the first preset load rate is smaller than the second preset load rate.

4. The control method for real-time dispatching of regional energy storage according to any one of claims 1 to 3, characterized in that: The energy management and control device controls the transformer to perform an electric energy dispatching operation on the energy storage device that matches the electric energy load change trend of the target area according to the electric energy load change trend of the target area, including: When the power load change trend of the target area indicates that the target area is in a low power consumption period, the energy management and control device controls the transformer of the target area to perform a charging operation on the energy storage device according to the user load rate corresponding to the target area; When the power load change trend of the target area indicates that the target area is in a peak power consumption period, the energy management and control device controls the transformer of the target area to perform a discharge operation on the energy storage device according to the user load rate corresponding to the target area; When the power load change trend of the target area is used to indicate that the target area is in a normal power consumption period, the energy management and control device determines the load capacity of the transformer within the target time period, and performs tracking operations on the power parameters of the transformer in the target area to obtain power parameter tracking results, and controls the transformer in the target area to perform charging and discharging operations on the energy storage device based on the power parameter tracking results, so that the real-time power of the transformer is within the target load capacity range, and the target load capacity range is determined by the load capacity corresponding to the transformer.

5. The control method for real-time dispatch of regional energy storage according to claim 4 is characterized in that: The power data of the transformer in the target area within the target time period includes a plurality of sub-powers; the method further includes: The energy management and control device calculates the power quantity of all the sub-powers; The energy management device calculates the average power as the load capacity of the transformer within the target time period based on the power quantity and all the sub-powers; or, the energy management device determines the median sub-power among all the sub-powers as the load capacity of the transformer within the target time period based on the power quantity and all the sub-powers.

6. The control method for real-time dispatching of regional energy storage according to any one of claims 1 to 5, characterized in that: After the energy management and control device obtains the power consumption data of the target area in the past target time period, the method further includes: The energy management and control device determines whether there is abnormal power consumption data that does not meet preset data requirements in the acquired power consumption data corresponding to the target area; When it is determined that the abnormal power consumption data does not exist, the energy management and control device triggers the operation of predicting the future power load change trend of the target area according to the power consumption data corresponding to the target area; When it is determined that the abnormal electricity consumption data exists, the energy management and control device filters out the abnormal electricity consumption data from the electricity consumption data corresponding to the target area, and performs data processing operations on the electricity consumption data corresponding to the target area based on the abnormal electricity consumption data to obtain the processed electricity consumption data corresponding to the target area, and triggers the execution of the operation of predicting the future electricity load change trend of the target area based on the electricity consumption data corresponding to the target area.

7. The control method for real-time dispatching of regional energy storage according to any one of claims 1 to 5, characterized in that: The method further comprises: The energy management and control device acquires the power grid data of the target area, and analyzes whether a power grid in the target area fails according to the power grid data of the target area; When it is analyzed that the power grid in the target area fails, the energy management and control device controls the working mode of the energy storage device to switch to a preset off-grid power supply mode; When the working mode of the energy storage device is switched to the preset off-grid power supply mode, the energy management and control device controls the energy storage device to perform a power supply operation for a predetermined target device.

8. The control method for real-time dispatch of regional energy storage according to claim 7, characterized in that: The energy management and control device analyzes whether a power grid in the target area fails according to the power grid data in the target area, including: When the power grid data of the target area includes the real-time status of the transformer of the target area, the energy management and control device determines whether the transformer is in a power-off state according to the real-time status of the transformer, and when it is determined that the transformer is in a power-off state, determines that a power grid of the target area fails; When the power grid data of the target area includes the power grid frequency of the target area, the energy management and control device determines whether the power grid frequency of the target area is within a predetermined abnormal power grid frequency range, and when it is determined that the power grid frequency is within the abnormal power grid frequency range, determines that a power grid failure occurs in the target area; When the power grid data of the target area includes the power grid phase voltage data of the target area, the energy management and control device analyzes the power grid phase voltage fluctuation of the target area according to the power grid phase voltage data of the target area, and determines whether the power grid phase voltage fluctuation of the target area is used to indicate that the power grid phase voltage fluctuation amplitude-frequency of the target area is greater than or equal to a preset phase voltage fluctuation amplitude-frequency; when it is determined that it is greater than or equal to the phase voltage fluctuation amplitude-frequency, it is determined that a power grid fault occurs in the target area.

9. An energy management and control device, characterized in that: The energy management and control equipment includes: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the control method for real-time scheduling of regional energy storage as described in any one of claims 1-8.

10. An electric energy dispatching and control system, characterized in that: The electric energy dispatching and control system includes an energy management and control device, an energy storage device, a transformer and a battery management device, wherein the battery management device, the transformer and the energy storage device are respectively connected to the energy management and control device, the battery management device is installed on the energy storage device and connected to the energy storage device, and the transformer is connected to the energy storage device; The energy management and control device is used to execute the control method for real-time scheduling of regional energy storage as described in any one of claims 1 to 8, and performs charging or discharging operations on the energy storage device through the transformer and the battery management device.

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