Energy management method and power distribution equipment

Abstract

The present application relates to the field of energy technology and provides an energy management method and power distribution equipment. The method is applied to the power distribution equipment in the energy management system, and the power distribution equipment is used to control the energy storage equipment and DC power generation equipment in the energy management system. The method includes: in each energy management cycle, based on the predicted power outage duration in the preset charging time period, calculating the predicted rechargeable time of the energy storage equipment in the preset charging time period, wherein each energy management cycle includes a preset charging time period and a preset discharge time period, and when the predicted rechargeable time period is less than the required charging time period, controlling the DC power generation equipment to supplement the energy storage equipment within the preset discharge time period. The above method ensures that the energy storage equipment can provide sufficient electricity to supplement the DC power generation equipment for use by the load in both stable and unstable power grid conditions, thereby avoiding the load from using high-priced electricity.

Description

Technical Field

[0001] The present application relates to the field of energy technology, and in particular to an energy management method and power distribution equipment. Background Art

[0002] As carbon neutrality becomes a global consensus, the proportion of renewable energy in the overall energy system will increase rapidly. However, due to the inherent instability of wind and photovoltaic power generation, supporting energy storage is needed to completely replace traditional fossil fuel installations. Energy storage can improve power stability and availability. The stored energy can be used as emergency energy or to store energy during periods of low grid load and output energy during periods of high grid load, thereby shaving peaks and filling valleys, mitigating grid fluctuations, and enhancing the use of renewable energy. DC power generation equipment such as photovoltaic and wind power generation, as well as energy storage equipment, can be connected to distribution equipment, which can then be used to control the energy storage and DC power generation equipment, thereby achieving energy management.

[0003] Taking the TOU (Time of Use) energy management model as an example, in an ideal TOU model, distribution equipment uses energy storage equipment or photovoltaic power generation to power the load during the daytime when the grid electricity price is high, sells the surplus electricity generated by the photovoltaic power generation equipment to the grid, and charges the energy storage equipment at night when the grid electricity price is low. In this way, during the period of high grid electricity price, electricity bills can be saved and even profits can be generated.

[0004] However, many regions currently face unstable power grids, often experiencing power outages. In such situations, if energy storage devices are controlled to charge and discharge according to idealized energy management models, they may be unable to replenish sufficient energy during periods of low electricity prices due to grid outages. Consequently, the energy storage devices may not be able to output sufficient energy during periods of high electricity prices, forcing users to rely on the grid to power their loads, which is costly. Consequently, existing energy management solutions are not fully applicable to regions with unstable power grids and have a limited scope of application. Summary of the Invention

[0005] Based on this, the embodiments of the present application provide an energy management method, an energy management device, a power distribution device and a computer-readable storage medium to solve the problem of a small scope of application in existing energy management solutions.

[0006] A first aspect of an embodiment of the present application provides an energy management method, which is applied to a power distribution device in an energy management system, wherein the power distribution device is used to control an energy storage device and a DC power generation device in the energy management system. The energy management method includes:

[0007] In each energy management cycle, based on the predicted power outage duration in a preset charging time period, the predicted rechargeable duration of the energy storage device in the preset charging time period is calculated, wherein each energy management cycle includes a preset charging time period and a preset discharging time period;

[0008] When the predicted charging time is less than the required charging time, the DC power generation device is controlled to supplement power for the energy storage device within the preset discharge time period.

[0009] In an energy management method provided in an embodiment of the present application, in the event of an unstable power grid, the power distribution equipment can first predict the predicted power outage duration of the power grid within a preset charging time period for charging the energy storage device using the power grid in each energy management cycle. The power distribution equipment calculates the predicted rechargeable time of the energy storage device within the preset charging time period based on the predicted power outage duration within the preset charging time period. Since it is necessary to ensure that the power of the energy storage device can provide sufficient power to supplement the power of the DC power generation device during the preset discharge time period to meet the consumption of the load, the energy storage device needs to have a sufficient charging time within the preset charging time period, that is, to meet the required charging time. If the power distribution equipment detects that the predicted rechargeable time of the energy storage device is less than the required charging time, it controls the DC power generation device to supplement the energy storage device during the preset discharge time period. This ensures that the energy storage device can provide sufficient power to supplement the DC power generation device for use by the load in both stable and unstable power grid conditions, thereby avoiding the load from using high-priced electricity and expanding the scope of application of the energy management solution.

[0010] A second aspect of an embodiment of the present application provides an energy management device, which is applied to a power distribution device in an energy management system, wherein the power distribution device is used to control an energy storage device and a DC power generation device in the energy management system, and the energy management device includes:

[0011] a calculation module configured to calculate, in each energy management cycle, a predicted chargeable duration of the energy storage device within a preset charging time period based on a predicted power outage duration within the preset charging time period, wherein each energy management cycle includes a preset charging time period and a preset discharging time period;

[0012] The control module is configured to control the DC power generation device to supplement power for the energy storage device within the preset discharge time period when the predicted chargeable time period is less than the required charge time period.

[0013] A third aspect of an embodiment of the present application provides a power distribution device, comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the computer-readable instructions are executed by the processor to implement the above-mentioned energy management method.

[0014] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium, which stores computer-readable instructions. When the computer-readable instructions are executed by a processor, the above-mentioned energy management method is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0016] Figure 1 It is a schematic diagram of the TOU energy management model structure;

[0017] Figure 2 This is an application environment diagram of the energy management method provided in an embodiment of the present application;

[0018] Figure 3 This is a flowchart of the energy management method provided in the embodiment of the present application;

[0019] Figure 4 is a flowchart of an energy management method according to another embodiment of the present application;

[0020] Figure 5 This is a flowchart of an energy management method according to another embodiment of the present application;

[0021] Figure 6 is a flowchart of an energy management method according to another embodiment of the present application;

[0022] Figure 7 is a schematic structural diagram of an energy management device provided in an embodiment of the present application;

[0023] Figure 8 It is a structural diagram of the power distribution equipment provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] It should be noted that the terms "first" and "second" in the description, claims and drawings of this application are used to distinguish similar objects, rather than to describe a specific order or sequence.

[0025] It should also be noted that the method disclosed in the embodiments of the present application or the method shown in the flowchart includes one or more steps for implementing the method. Without departing from the scope of the claims, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.

[0026] The following will describe some embodiments with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features therein may be combined with each other.

[0027] See also Figure 1 As shown in Figure 1, it is a schematic diagram of the TOU energy management model structure. Figure 1 As shown in the figure, under the TOU energy management mode, the distribution equipment uses a portion of the photovoltaic (PV) electricity generated for its own consumption during the day and supplies it to the load. After meeting its own consumption, the remaining PV electricity is sold to the grid. Due to the fluctuation of PV power, there may be periods when it cannot meet the household load demand. Therefore, the distribution equipment can also use the battery of the energy storage device to power the household load during the period when the PV output power is insufficient, such as Figure 1 The battery is discharged in the morning and evening. During the night when electricity prices are low, the battery is charged by the grid. During the morning and evening peak electricity demand periods, the battery is used to power the load. This avoids using the grid to power the load during high electricity prices, saving electricity costs.

[0028] However, Figure 1 The TOU energy management model shown is an ideal model, which assumes that the battery can be fully charged by the grid during the night when electricity prices are low. However, in many areas, the grid cannot guarantee stable operation and power outages often occur, such as due to natural disasters or improper personnel management. Figure 1 The TOU energy management method shown here may prevent the battery from fully charging during nighttime periods of low electricity prices. In this case, during daytime periods of high electricity prices, PV generation may not be able to provide sufficient power for the load, and the battery may be insufficient to power the load. This will force the configured device to use the grid to power the load, resulting in the load using high-priced electricity and increased electricity costs.

[0029] Based on the above-mentioned problems, an embodiment of the present application provides an energy management method, which takes into account the situation that the energy storage device may not be fully charged due to power outages during the charging period. It ensures that the energy storage device can provide sufficient electricity to supplement photovoltaic power in both stable and unstable power grid conditions, thereby expanding the scope of application of the energy management solution.

[0030] See also Figure 2 As shown in FIG, it is a schematic diagram of the application environment of the energy management method provided in the embodiment of the present application, such as Figure 2As shown, the energy management system includes a power distribution device 1, an energy storage device 2, a DC generator 3, and a load 4. The power distribution device 1 can control the charging and discharging of the energy storage device 2 and can also control the DC generator 3 to charge the energy storage device 2. The DC generator 3 and the energy storage device 2 can provide power for the load 4. During energy management, the power distribution device 1 predicts the duration of a power outage within a preset charging time period in each energy management cycle. Based on the predicted power outage duration, the power distribution device 1 calculates the predicted chargeable duration of the energy storage device 2 within the preset charging time period in the corresponding energy management cycle. The power distribution device 1 compares the predicted chargeable duration with the required charging duration of the energy storage device 2. If it determines that the predicted chargeable duration of the energy storage device 2 is less than the required charging duration, the power distribution device 1 controls the DC generator 3 to supplement the energy storage device 2, so that the energy storage device 2 can provide sufficient energy to supplement the DC generator 3. The power distribution device 1 can be a multi-port repeater (hub) or other device, including a distribution cabinet, power lines, generators, control boxes, and the like. The energy storage device 2 may include a battery, such as a lead-acid battery, a lithium-ion battery, etc. The DC power generation device 3 may be a photovoltaic power generation device, a wind power generation device, etc.

[0031] See also Figure 3 , Figure 3 The figure shows the implementation flow chart of the energy management method provided by the embodiment of the present application, which is applied in Figure 2 The power distribution device 1 in FIG. 1 is used as an example to illustrate the process, including the following steps:

[0032] S11: In each energy management cycle, based on the predicted power outage duration in the preset charging time period, calculate the predicted chargeable time of the energy storage device in the preset charging time period.

[0033] In some embodiments of the present application, each energy management cycle includes a preset charging period and a preset discharging period. During the preset charging period, the power distribution equipment controls the power grid to charge the energy storage device. During the preset discharging period, the energy storage device supplements the DC power generation equipment to supply power to the load.

[0034] The preset charging time period and the preset discharging time period can be user-defined. Alternatively, the preset charging time period and the preset discharging time period can be set by the power distribution equipment based on the time period of fluctuation in local grid electricity prices. For example, the energy storage device can be charged during a period of low grid electricity prices, that is, the low grid electricity price period is set as the preset charging time period, and the energy storage device can be used to power the load during a period of high grid electricity prices, that is, the high grid electricity price period is set as the preset discharging time period. Alternatively, the preset charging time period and the preset discharging time period can be factory default settings for the power distribution equipment.

[0035] For example, in one region, the power grid has low electricity prices from 9 PM to 5 AM every night, and high electricity prices from 5 AM to 9 PM every day. Therefore, the user can set a 24-hour energy management cycle on the power distribution equipment, with each cycle lasting from 5 AM to 5 AM the following day. Within each energy management cycle, the user can set the preset discharge time period from 5 AM to 9 PM, and the preset charging time period from 9 PM to 5 AM the following day.

[0036] In some embodiments of the present application, the predicted power outage duration refers to the predicted duration of a possible power outage within a preset charging time period. The power distribution equipment can obtain the power outage duration of the preset charging time period in the historical energy management cycle, learn the correlation between the power outage durations corresponding to different historical energy management cycles, and thus predict the predicted power outage duration of the preset charging time period in the current energy management cycle.

[0037] The predicted charging time represents the predicted time that the distribution equipment uses the power grid to charge the energy storage device within the preset charging time period. The predicted charging time is less than or equal to the time corresponding to the preset charging time period.

[0038] In some embodiments of the present application, in order to prevent the energy storage device from being insufficiently charged during the preset charging time period, which results in the energy storage device being unable to provide sufficient electricity to supplement the DC power generation device during the preset discharge time period, thereby causing the load to use high-priced electricity and increase electricity bills, the power distribution device adds a power outage duration prediction function, which predicts the predicted power outage duration during the preset charging time period in each energy management cycle through the power outage duration prediction function. The power distribution device can calculate the predicted rechargeable duration during the preset charging time period based on the predicted power outage duration. Since the predicted rechargeable duration can characterize the predicted duration of the power distribution device using the power grid to charge the energy storage device during the preset time period, the power distribution device can determine whether the charging duration of the energy storage device during the preset charging time period in each energy management cycle meets the requirements by judging the predicted rechargeable duration.

[0039] In some embodiments of the present application, the preset charging time period and the preset discharging time period can be continuous time periods, or they can be discontinuous time periods. For example, the user can set the energy management cycle to 24 hours, from 5 a.m. on the current day to 5 a.m. on the next day, and set the preset discharge time period of each energy management cycle to 5 a.m. to 10 a.m. on the current day and 18 p.m. to 9 p.m. on the current day, and set the preset charging time period to 9 p.m. to midnight on the current day and 0 a.m. to 5 a.m. on the next day.

[0040] In some embodiments of the present application, based on the predicted power outage duration within a preset charging time period, the predicted rechargeable time of the energy storage device within the preset charging time period is calculated, including: calculating the difference between the duration corresponding to the preset charging time period and the predicted power outage duration to obtain the predicted rechargeable time.

[0041] In this embodiment, the preset charging duration corresponding to the preset charging time period can be determined based on the preset charging time period. For example, if the user sets the energy management cycle to 24 hours, from 5:00 a.m. on the current day to 5:00 a.m. the next day, and sets the preset charging time period for each energy management cycle to 9:00 p.m. on the current day to 5:00 a.m. the next day, then the preset charging duration corresponding to the preset charging time period is 8 hours. Since the predicted power outage duration represents the power outage duration within the preset charging time period, and the predicted rechargeable duration represents the actual charging duration of the energy storage device within the preset charging time period within the energy management cycle, the power distribution device can use the difference calculated by subtracting the preset charging duration from the predicted power outage duration as the predicted rechargeable duration.

[0042] S12: When the predicted charging time is less than the required charging time, the DC power generation device is controlled to supplement power for the energy storage device within a preset discharge time period.

[0043] In some embodiments of the present application, in order to ensure that the energy storage device provides sufficient energy to supplement the DC power generation device during a preset discharge time period within each energy management cycle, the distribution device expects the energy storage device to be able to charge to full capacity within a preset charging time period during each energy management cycle.

[0044] In order to ensure that the energy storage device can be charged to full capacity during the preset charging time period of each energy management cycle, the power distribution device can first determine the amount of electricity consumed by the energy storage device during the preset discharge time period of each energy management cycle. Correspondingly, the amount of electricity consumed by the energy storage device during the preset discharge time period of the energy management cycle is the amount of electricity that the power distribution device needs to replenish for the energy storage device using the power grid during the preset charging time period, wherein the duration of replenishing the consumed electricity is the required charging duration. Therefore, the required charging duration can be used to characterize the charging duration required to charge the energy storage device to full capacity using the power grid during the preset charging time period. As an example, in an energy management cycle, the discharge amount of the energy storage device during the preset discharge time period from 6:00 to 23:00 is 5 kilowatt-hours (KWh), then the required charging duration of the energy storage device is the duration required for the energy storage device to charge 5KWh of electricity.

[0045] During the preset discharge time period within each energy management cycle, the power distribution equipment can control the energy storage equipment and / or the DC generator to supply power to the load. The energy storage equipment supplements the DC generator. When the DC generator can provide sufficient power for the load, the energy storage equipment may not supply power to the load. When the DC generator cannot provide sufficient power to the load, the power distribution equipment will control the energy storage equipment to supply power to the load. However, if the DC generator cannot provide sufficient power to the load, the energy storage equipment will also be unable to provide sufficient energy to the load due to insufficient energy replenishment during the preset charging time period, and the load may consume high-priced electricity. Therefore, to ensure that the energy storage equipment can provide sufficient energy to the load when the DC generator cannot provide sufficient power, the power distribution equipment can control the energy storage equipment to charge to full capacity during the preset charging time period within each energy management cycle. In this case, the predicted charging time of the energy storage equipment during the preset charging time period must meet the required charging time required by the power distribution equipment to charge the energy storage equipment to full capacity during the preset charging time period.

[0046] In some embodiments of the present application, when the predicted rechargeable time is less than the required rechargeable time, the energy storage device may not be able to provide sufficient energy to supplement the DC power generation device during the preset discharge period, resulting in the load using high-priced electricity and increased electricity costs. Therefore, when the power distribution equipment detects that the predicted rechargeable time is less than the required rechargeable time, it controls the DC power generation device to prioritize supplementing the energy storage device during the preset discharge period. In some embodiments, the DC power generation device is controlled to supplement the energy storage device to its full capacity during the preset discharge period to minimize the load's use of high-priced electricity.

[0047] In some embodiments of the present application, if it is detected that the predicted charging time is greater than or equal to the required charging time, the power distribution equipment determines that the energy storage device has sufficient time to charge within the preset charging time period and can provide sufficient energy to supplement the DC power generation equipment, without the need to control the DC power generation equipment to supplement the energy storage device.

[0048] In some embodiments of the present application, controlling the DC power generation device to supplement power for the energy storage device within a preset discharge time period includes: calculating the supplementary power capacity of the energy storage device based on the predicted rechargeable time and the required charging time; and controlling the DC power generation device to supplement power for the energy storage device within the preset discharge time period until the increase in power supplemented by the DC power generation device to the energy storage device reaches the supplementary power capacity.

[0049] In this embodiment, the predicted rechargeable time can be used to characterize the time during which the energy storage device can be charged within a preset charging time period. The required charging time can be used to characterize the charging time required to charge the energy storage device to full capacity using the power grid within the preset charging time period. Therefore, in the case where the predicted rechargeable time is less than the required charging time, the power distribution equipment can calculate the recharge capacity required for the energy storage device to reach full capacity based on the predicted rechargeable time and the required charging time. For this part of the recharge capacity, the power distribution equipment can control the DC power generation equipment to recharge the energy storage device during the preset discharge time period in the current energy management cycle until the power increase reaches the recharge capacity. At this point, the energy storage device reaches full capacity, which can ensure that the energy storage device provides sufficient energy to supplement the DC power generation equipment during the preset discharge time period in the next energy management cycle to supply power to the load, thereby avoiding the use of high-priced electricity by the load as much as possible and saving electricity costs.

[0050] As an example, the power distribution equipment calculates the energy storage device's replenishment capacity to be 2 kWh, where 1 kWh equals 1 kWh. Because the energy storage device is short of 2 kWh, the load uses 2 kWh of overpriced electricity during the preset discharge period. Assuming the grid price is 0.83 yuan at this time, the load's electricity cost from using overpriced electricity is 0.83 * 2 = 1.66 yuan. However, if the power distribution equipment controls the DC generator to replenish the energy storage device with 2 kWh in advance during the preset discharge period, although the DC generator's replenishment of the energy storage device results in a loss of 2 kWh of electricity, resulting in a loss of 2 * 0.17 (the assumed electricity price) = 0.34 yuan, the load's electricity cost of 1.66 yuan from using overpriced electricity is recovered, resulting in a relative electricity cost saving of 1.66 - 0.34 = 1.32 yuan.

[0051] In some embodiments of the present application, the charging capacity of the energy storage device is calculated based on the predicted charging time and the required charging time, including: calculating the difference between the predicted charging time and the required charging time to obtain the difference time; and calculating based on the difference time and the preset charging power to obtain the charging capacity.

[0052] In this embodiment, the preset charging power can be determined by the energy storage device, and the preset charging power of the energy storage device is generally determined. In other embodiments of the present application, different energy storage devices in the same region may also correspond to different preset charging powers. The power distribution device can exchange information with the energy storage device to obtain the preset charging power of the energy storage device.

[0053] In this embodiment, the power distribution equipment calculates the difference between the predicted charging time and the required charging time to determine the difference duration. This difference duration represents the length of time the energy storage device still needs to be recharged from the grid. Based on the definition of recharge capacity, the product of the difference duration and the preset charging power is calculated to obtain the recharge capacity.

[0054] In other embodiments of the present application, the power distribution device may further obtain the required charging power of the energy storage device and calculate the product of the predicted charging duration and the preset charging power to obtain the predicted chargeable power of the energy storage device within the predicted charging duration. The power distribution device then calculates the difference between the required charging power of the energy storage device and the predicted chargeable power, and this difference is the charging capacity of the energy storage device.

[0055] The required charging capacity of the energy storage device can be determined based on the discharge capacity of the energy storage device during a preset discharge time period within the current energy management cycle. In some embodiments of the present application, if the energy storage device consumes the full capacity of the energy storage device during each energy management cycle, the required charging capacity of the energy storage device during each energy management cycle is the full capacity value.

[0056] In some embodiments of the present application, during a preset discharge time period, the DC power generation device is controlled to supplement power for the energy storage device until the incremental amount of power supplemented by the DC power generation device to the energy storage device reaches the supplement capacity, including: detecting the power generation power of the DC power generation device during the preset discharge time period; when the power generation power is greater than the load power of the energy management system, controlling the DC power generation device to output the remaining power to supplement power for the energy storage device until the incremental amount of power supplemented by the DC power generation device to the energy storage device reaches the supplement capacity; the residual power is the difference between the power generation power and the load power.

[0057] In some embodiments of the present application, "generated power" is used to represent the output power of a DC power generation device. DC power generation devices are affected by the environment, and their generated power will vary under different conditions. For example, photovoltaic power generation devices are affected by sunlight, generating relatively low power in low light conditions and increasing power in high light conditions. Generally, photovoltaic power generation devices generate lower power in the early morning and evening hours and higher power at midday when sunlight is strong.

[0058] In some embodiments of the present application, when the power generation of the DC power generation device is greater than the load power of the energy management system, the power generated by the DC power generation device satisfies the load usage while there is still surplus power, and the power corresponding to the surplus power is the output surplus power of the DC power generation device. At this time, the distribution equipment controls the DC power generation device to output the surplus power to supplement the energy storage device, so that the power increase of the energy storage device reaches the supplement capacity. For example, the power generation of the DC power generation device is 5 kilowatts (KW) and the load power is 3KW, then the output surplus power of the DC power generation device is 2KW. The load continues to work for 1 hour, and the required power is 3KWh. If the power generation of the DC power generation device is maintained at 5KW during this 1 hour, the power generated by the DC power generation device is 5KWh. It can be seen that the power generated by the DC power generation device satisfies the load usage while there is still 2KWh of surplus power. The distribution equipment can control the DC charging device to use the surplus power to supplement the energy storage device.

[0059] In one embodiment of the present application, when the DC generator's power generation is less than the load power of the power management system, the power provided by the DC generator is insufficient for the load to consume. In this case, the energy storage device supplements the DC generator and provides power for the load. When the DC generator's power generation equals the load power of the power management system, the power provided by the DC generator is sufficient to meet the load's consumption. In this case, the load is powered solely by the DC generator.

[0060] In some embodiments of the present application, after the DC power generation equipment replenishes the energy storage device with an amount of electricity that reaches the replenishment capacity, the power distribution equipment can also output the additional surplus electricity generated by the DC power generation equipment to the power grid for sale.

[0061] In an energy management method provided in an embodiment of the present application, taking into account the situation of unstable power grid, the distribution equipment predicts the predicted power outage duration of the power grid within a preset charging time period. The distribution equipment calculates the predicted rechargeable time of the energy storage device within the preset charging time period based on the predicted power outage duration within the preset charging time period. Since it is necessary to ensure that the power of the energy storage device can provide sufficient power to supplement the power of the DC power generation device in the preset discharge time period to meet the consumption of the load, the charging time of the energy storage device in the preset charging time period needs to reach the required charging time. If the distribution equipment detects that the predicted rechargeable time of the energy storage device is less than the required charging time, it controls the DC power generation device to supplement the energy storage device in the preset discharge time period. In this way, it is achieved that in both stable and unstable power grid conditions, the energy storage device can provide sufficient power as a supplement to photovoltaic power for use by the load, thereby avoiding the load from using high-priced electricity and expanding the scope of application of the energy management solution.

[0062] See also Figure 4, is a flowchart of an energy management method according to another embodiment of the present application. Figure 4 As shown, the energy management method provided in this embodiment includes the following steps.

[0063] S21: Collect power outage durations within preset charging time periods in different historical energy management cycles to obtain a power outage duration sample set.

[0064] In some embodiments of the present application, the preset charging time periods are consistent across different historical energy management cycles. For example, the preset charging time period may be from 9:00 PM every night to 5:00 AM the following day. The different historical energy management cycles may be continuous or discontinuous.

[0065] The power outage duration sample set includes at least two power outage duration samples. For example, if the preset charging time period is from 9:00 PM to 5:00 AM every night, the power distribution equipment can use the power outage duration data from 9:00 PM to 5:00 AM every night for the past 30 days as the power outage duration samples.

[0066] In some embodiments of the present application, the power distribution equipment can collect the power outage duration within the preset charging time period in different historical energy management cycles in each energy management cycle to obtain a power outage duration sample set, or it can only collect the power outage duration sample set when the predicted power outage duration within the preset charging time period in the current energy management cycle is predicted for the first time.

[0067] S22: Using the power outage duration sample set to train a preset power outage duration prediction model to obtain a trained power outage duration prediction model.

[0068] In some embodiments of the present application, the preset power outage duration prediction model can be any one or more combinations of prediction models such as a Recurrent Neural Network (RNN) model, a Long Short Term Memory (LSTM) model, a Deep Neural Networks (DNN) model, and a Convolutional Neural Networks (CNN) model.

[0069] In some embodiments of the present application, the power distribution equipment inputs the power outage duration samples in the power outage duration sample set into a preset power outage duration prediction model in sequence, and the preset power outage duration prediction model cyclically learns the correlation between different power outage duration samples until the performance of the preset power outage duration prediction model (such as accuracy, loss function value, etc.) meets the preset stopping training conditions, stops training, and obtains a trained power outage duration prediction model.

[0070] In some embodiments of the present application, the power distribution equipment can also collect data that affects the duration of power outages, such as average regional electricity consumption data in different energy management cycles, monthly average power outage duration data, etc. The power distribution equipment will input the data that affects the duration of power outages as auxiliary training samples into the preset power outage duration prediction model, and train the preset power outage duration prediction model to improve the prediction accuracy of the power outage duration prediction model for the power outage duration.

[0071] S23: Using the trained power outage duration prediction model, predict the power outage duration within the preset charging time period in the current energy management cycle.

[0072] In some embodiments of the present application, for example, assuming that the energy management cycle is from 5 a.m. on one day to 5 a.m. on the next day, the preset charging and discharging time periods are from 5 a.m. to 9 p.m., and the preset charging time period is from 9 p.m. to 5 a.m. on the next day, then the predicted power outage duration within the preset charging time period in the current energy management cycle is predicted, that is, the predicted power outage duration from 9 p.m. on the one day to 5 a.m. on the next day in the current energy management cycle is predicted.

[0073] In some embodiments of the present application, the trained power outage duration prediction model can predict the predicted power outage duration within a preset charging time period in the current energy management cycle based on the learned correlation between power outage duration samples corresponding to different historical energy management cycles.

[0074] In other embodiments of the present application, the power distribution equipment may also predict the predicted power outage duration within a preset charging time period in the current energy management cycle by calculating a weighted average of power outage duration samples in a power outage duration sample set, calculating a median, calculating a mode, or other statistical methods. The embodiments of the present application do not limit the method by which the power distribution equipment predicts the predicted power outage duration within the preset charging time period.

[0075] S24: In each energy management cycle, based on the predicted power outage duration in the preset charging time period, calculate the predicted chargeable time of the energy storage device in the preset charging time period.

[0076] S25: When the predicted charging time is less than the required charging time, the DC power generation device is controlled to supplement power for the energy storage device within a preset discharge time period.

[0077] The specific implementation of steps S24-S25 can refer to the above embodiment. Figure 3 The description of steps S11-S12 will not be repeated here.

[0078] See also Figure 5 , is a flow chart of an energy management method according to another embodiment of the present application. Figure 5 As shown, the energy management method provided in this embodiment includes the following steps.

[0079] S31: In each energy management cycle, based on the predicted power outage duration in the preset charging time period, calculate the predicted chargeable time of the energy storage device in the preset charging time period.

[0080] The specific implementation of step S31 can refer to the above embodiment. Figure 3 The description of step S11 will not be repeated here.

[0081] S32: Collect the discharge amount of the energy storage device in a preset discharge time period during different historical energy management cycles to obtain a discharge amount sample set.

[0082] In some embodiments of the present application, the preset discharge time periods are consistent across different historical energy management cycles. For example, if the energy management cycle is from 5:00 AM one day to 5:00 AM the next day, the preset discharge time period within each energy management cycle is from 5:00 AM to 9:00 PM each day. Different historical energy management cycles can be continuous or discontinuous.

[0083] A discharge quantity sample set includes at least two discharge quantity samples. For example, if the energy management cycle is from 5:00 AM one day to 5:00 AM the next day, and the preset discharge time period within each energy management cycle is from 5:00 AM to 9:00 PM each day, the power distribution equipment can collect the discharge quantity from 5:00 AM to 9:00 PM every day for the past 30 days as the discharge quantity samples to obtain the discharge quantity sample set.

[0084] In some embodiments of the present application, the power distribution equipment may collect discharge amounts within preset discharge segments in different historical energy management cycles at a second preset time point in each energy management cycle to obtain a discharge amount sample set.

[0085] S33: Using the discharge capacity sample set to train a preset discharge capacity prediction model to obtain a trained discharge capacity prediction model.

[0086] In some embodiments of the present application, the preset discharge amount prediction model can be any one or more combinations of prediction models such as a recurrent neural network (RNN) model, a long short-term memory network (LSTM) model, a deep neural network (DNN) model, and a convolutional neural network (CNN) model.

[0087] In some embodiments of the present application, the power distribution equipment inputs the discharge samples in the discharge sample set into the preset discharge prediction model in sequence, and the preset discharge prediction model cyclically learns the correlation between different discharge samples until the performance of the preset discharge prediction model (such as accuracy, loss function value, etc.) meets the preset stopping training conditions, stops training, and obtains a trained discharge prediction model.

[0088] S34: Using the trained discharge capacity prediction model, predict the predicted discharge capacity of the energy storage device within a preset discharge time period in the current energy management cycle.

[0089] In some embodiments of the present application, the predicted discharge amount is equal to or greater than 0 and equal to or less than the full charge capacity of the energy storage device.

[0090] In some embodiments of the present application, the trained discharge capacity prediction model can predict the predicted discharge capacity within a preset discharge time period in the current energy management cycle based on the learned correlation between discharge capacity samples corresponding to different historical energy management cycles.

[0091] In some embodiments of the present application, if the load just uses up the energy of the energy storage device in each energy management cycle and charges the energy storage device to full capacity in each energy management cycle, then the value of the predicted discharge amount is equal to the value of the full capacity of the energy storage device. In this case, there is no need to predict the discharge amount of the energy storage device within the preset discharge time period in the current energy management cycle.

[0092] In other embodiments of the present application, the power distribution equipment can also predict the predicted discharge amount within a preset discharge time period in the current energy management cycle by calculating the weighted average of the discharge amount samples in the discharge amount sample set, calculating the median, calculating the mode, and other statistical methods. The embodiments of the present application are not limited to this.

[0093] S35: Calculate the required charging time based on the predicted discharge amount and the preset charging power.

[0094] In some embodiments of the present application, in order to ensure that the energy storage device can provide sufficient energy to supplement the DC power generation device during the preset discharge time period of the energy management cycle, the power distribution device expects the energy storage device to be charged to full capacity during the preset charging time period. In order to ensure that the energy storage device is charged to full capacity in each energy management cycle, the power distribution device needs to use the power grid to charge the energy storage device during the preset charging time period until the charged amount reaches the discharge amount of the energy storage device during the preset discharge time period in the corresponding energy management cycle. Since the preset discharge time period of the current energy management cycle has not yet ended when the power distribution device implements the method of the present application, the required charging amount of the energy storage device during the preset charging time period in the current energy management cycle can be represented by the predicted discharge amount. Therefore, the required charging time can be calculated based on the predicted discharge amount and the preset charging power.

[0095] In some embodiments of the present application, the required charging time is obtained by calculating based on the predicted discharge amount and the preset charging power, including: dividing the predicted discharge amount by the preset charging power to obtain the required charging time.

[0096] In this embodiment, the predicted discharge amount is used to represent the required charging power of the energy storage device during the preset charging time period in the current energy management cycle. According to the definition of the required charging power, the required charging time can be calculated by dividing the predicted discharge amount by the preset charging power.

[0097] In one embodiment of the present application, if the energy storage device's energy is fully utilized within the preset discharge time period of each energy management cycle, the required charging duration is the time required to replenish the energy storage device from zero to full capacity. In this case, the required charging duration is calculated by dividing the full capacity of the energy storage device by the preset charging power.

[0098] S36: When the predicted charging time is less than the required charging time, the DC power generation device is controlled to supplement power for the energy storage device within a preset discharge time period.

[0099] The specific implementation of step S36 can refer to the above embodiment. Figure 3 The description of step S12 will not be repeated here.

[0100] See also Figure 6 , is a flowchart for implementing an energy management method provided by another embodiment of the present application. The energy management method provided by this embodiment is applied to a power distribution device in an energy management system, and the power distribution device is used to control the energy storage device and DC power generation device in the energy management system, such as Figure 6 As shown, the energy management method provided in this embodiment includes the following steps.

[0101] S41: In each energy management cycle, based on the predicted power outage duration in the preset charging time period, calculating the predicted rechargeable capacity of the energy storage device in the preset charging time period.

[0102] In some embodiments of the present application, each energy management cycle includes a preset charging time period and a preset discharging time period. The predicted rechargeable capacity is used to characterize the possible charging capacity of the energy storage device in the preset charging time period.

[0103] In some embodiments of the present application, the power distribution equipment can calculate the predicted rechargeable time of the energy storage device in the preset charging time period based on the length of the preset charging time period and the predicted power outage duration, and then calculate the product of the predicted rechargeable time and the preset charging power, which is the predicted rechargeable capacity. The specific implementation method of obtaining the predicted rechargeable time can refer to the above embodiment. Figure 3 The content of step 11 and the specific implementation method of obtaining the predicted power outage duration can refer to the above embodiment. Figure 4 The contents of steps S21-S23.

[0104] S42: When the predicted rechargeable capacity is less than the predicted discharge capacity, controlling the DC power generation device to supplement power for the energy storage device within a preset discharge time period.

[0105] In some embodiments of the present application, the predicted discharge amount is used to characterize the required charging amount of the energy storage device during the preset charging time period in the current energy management cycle. The power distribution equipment compares the predicted rechargeable capacity with the predicted discharge amount. When it detects that the predicted rechargeable capacity is less than the predicted discharge amount, it determines that the amount of electricity charged for the energy storage device during the preset charging time period of the current energy management cycle cannot reach the predicted discharge amount. At this time, the power distribution equipment can control the DC power generation equipment to supplement the energy storage device during the preset discharge time period. The specific implementation scheme of the power distribution equipment controlling the DC power generation equipment to supplement the energy storage device during the preset discharge time period can be referred to in the above embodiment. Figure 3 The content of step S12. The specific implementation scheme for obtaining the predicted discharge amount can refer to the above embodiment. Figure 5 The contents of steps S32-S34.

[0106] In the energy management method provided in this embodiment, the power distribution equipment takes into account the situation of unstable power grid, and the power distribution equipment predicts the predicted power outage duration of the power grid within the preset charging time period. The power distribution equipment calculates the predicted rechargeable power of the energy storage device within the preset charging time period based on the predicted power outage duration within the preset charging time period. Since it is necessary to ensure that the energy storage device can provide sufficient power to supplement the DC power generation device in the preset discharge time period to meet the consumption of the load, it is necessary to predict the predicted discharge amount of the energy storage device in the preset discharge time period. If the power distribution equipment detects that the predicted rechargeable power of the energy storage device is less than the predicted discharge amount, it controls the DC power generation device to supplement the energy storage device in the preset discharge time period. In this way, it is achieved that the energy storage device can provide sufficient power to supplement the DC power generation device for use by the load in both stable and unstable power grid conditions, thereby avoiding the load from using high-priced electricity and expanding the scope of application of the energy management solution.

[0107] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0108] In some embodiments of the present application, an energy management device 700 is provided, which corresponds one-to-one with the energy management method in the above embodiment. Figure 7 As shown, the energy management device includes a calculation module 701 and a control module 702. The functional modules are described in detail as follows:

[0109] A calculation module 701 is configured to calculate, in each energy management cycle, a predicted chargeable duration of the energy storage device within a preset charging time period based on a predicted power outage duration within a preset charging time period, wherein each energy management cycle includes a preset charging time period and a preset discharging time period;

[0110] The control module 702 is configured to control the DC power generation device to supplement power for the energy storage device within a preset discharge time period when the predicted chargeable time period is less than the required charge time period.

[0111] For the specific definition of the energy management device, please refer to the definition of the energy management method above, which will not be repeated here. The various modules in the above energy management device can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of the processor in the power distribution equipment in the form of hardware, or can be stored in the memory of the power distribution equipment in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0112] In one embodiment, a power distribution device is provided, the internal structure of which can be shown as follows: Figure 8As shown. The power distribution equipment includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the power distribution equipment is used to provide computing and control capabilities. The memory of the power distribution equipment includes a readable storage medium and an internal memory. The readable storage medium stores an operating system, computer-readable instructions and a database. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the readable storage medium. The database of the power distribution equipment is used to store data involved in the energy management method. The network interface of the power distribution equipment is used to communicate with an external terminal through a network connection. When the computer-readable instructions are executed by the processor, an energy management method is implemented. The readable storage medium provided in this embodiment includes a non-volatile readable storage medium and a volatile readable storage medium.

[0113] In one embodiment, a power distribution device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, the following steps are implemented:

[0114] In each energy management cycle, based on the predicted power outage duration in the preset charging time period, a predicted rechargeable time period of the energy storage device in the preset charging time period is calculated, wherein each energy management cycle includes a preset charging time period and a preset discharging time period;

[0115] When the predicted charging time is less than the required charging time, the DC power generation equipment is controlled to supplement the energy storage equipment with power within a preset discharge time period.

[0116] In one embodiment, one or more computer-readable storage media storing computer-readable instructions are provided. The computer-readable storage media provided in this embodiment include non-volatile readable storage media and volatile readable storage media. The computer-readable storage media store computer-readable instructions, which, when executed by one or more processors, implement the following steps:

[0117] In each energy management cycle, based on the predicted power outage duration in the preset charging time period, a predicted rechargeable time period of the energy storage device in the preset charging time period is calculated, wherein each energy management cycle includes a preset charging time period and a preset discharging time period;

[0118] When the predicted charging time is less than the required charging time, the DC power generation equipment is controlled to supplement the energy storage equipment with power within a preset discharge time period.

[0119] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing related hardware through computer-readable instructions. The computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When the computer-readable instructions are executed, they can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0120] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0121] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. 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 various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. An energy management method, characterized in that: A power distribution device used in an energy management system, the power distribution device is used to control energy storage equipment and DC power generation equipment in the energy management system, and the energy management method includes: In each energy management cycle, the trained power outage duration prediction model is used to predict the power outage duration within a preset charging time period in the current energy management cycle; the trained power outage duration prediction model is trained using a power outage duration sample set obtained in historical energy management cycles; Calculating a predicted rechargeable time of the energy storage device within the preset charging time period based on the predicted power outage time within the preset charging time period, wherein each energy management cycle includes the preset charging time period and a preset discharging time period; Using a trained discharge capacity prediction model, predict the predicted discharge capacity of the energy storage device within the preset discharge time period in the current energy management cycle, wherein the trained discharge capacity prediction model is trained based on a discharge capacity sample set obtained in the historical energy management cycle, and the predicted discharge capacity is equal to or greater than 0 and equal to or less than the full charge capacity of the energy storage device; calculating based on the predicted discharge capacity and the preset charging power to obtain the required charging time; When the predicted charging time is less than the required charging time, controlling the DC power generation device to supplement power for the energy storage device within the preset discharge time period, including: calculating the supplementary power capacity of the energy storage device based on the predicted charging time and the required charging time; and controlling the DC power generation device to supplement power for the energy storage device within the preset discharge time period until the increase in power supplemented by the DC power generation device to the energy storage device reaches the supplementary power capacity.

2. The energy management method according to claim 1, wherein: The calculating, based on the predicted power outage duration within the preset charging time period, a predicted chargeable duration of the energy storage device within the preset charging time period, includes: The difference between the duration corresponding to the preset charging time period and the predicted power outage duration is calculated to obtain the predicted charging duration.

3. The energy management method according to claim 1, wherein: The calculating based on the predicted discharge amount and the preset charging power to obtain the required charging time includes: The predicted discharge amount is divided by the preset charging power to obtain the required charging time.

4. The energy management method according to claim 1, wherein: The step of controlling the DC power generation device to supplement power for the energy storage device within the preset discharge time period until the amount of power supplemented by the DC power generation device for the energy storage device reaches the supplement capacity includes: detecting the power generation of the DC power generation device within the preset discharge time period; When the generated power is greater than the load power of the energy management system, the DC power generation device is controlled to output the surplus power to supplement the energy storage device until the increase in the amount of electricity supplemented by the DC power generation device to the energy storage device reaches the supplementary capacity; the surplus power is the difference between the generated power and the load power.

5. The energy management method according to claim 1, wherein: The calculating the charging capacity of the energy storage device according to the predicted charging time and the required charging time includes: Calculating the difference between the predicted charging time and the required charging time to obtain the difference time; The charging capacity is obtained by calculating according to the difference duration and the preset charging power.

6. A power distribution device comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein: When the computer-readable instructions are executed by the processor, the energy management method according to any one of claims 1 to 5 is implemented.

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