Energy management method and device, equipment, storage medium and program product
By acquiring power generation and consumption parameters, dynamically identifying hotspot areas, and storing and distributing electrical energy, the problem of energy fluctuations and load demand mismatch at the energy storage end is solved, realizing coordinated management of power generation and consumption, improving system efficiency and reducing costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 广东建科创新技术研究院有限公司
- Filing Date
- 2026-04-14
- Publication Date
- 2026-05-12
AI Technical Summary
Existing energy management methods for energy storage fail to effectively consider the dynamic matching of energy fluctuations and load demand, resulting in low system efficiency and increased costs.
By acquiring parameters from both the power generation and consumption ends, the system dynamically identifies power generation hotspots and power consumption hotspots, stores electrical energy in the power generation hotspots, and prioritizes the use of energy from the energy storage end to supply power in the power consumption hotspots, thereby achieving coordinated management of power generation and consumption.
It improved the system's energy self-sufficiency, reduced dependence on high-priced grid electricity, lowered system operating costs, and enhanced system coordination and energy utilization efficiency.
Smart Images
Figure CN122026463A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of energy system technology, and in particular to energy management methods, devices, equipment, storage media and program products. Background Technology
[0002] With the rapid popularization of renewable energy and the intelligent transformation of power systems, energy storage has become an indispensable key component of distributed energy systems (such as photovoltaic and wind power) and microgrids. Its main function is to smooth out the intermittency and fluctuation of renewable energy output, realize the transfer of electricity on a time scale, thereby improving energy utilization efficiency, ensuring power supply reliability, and participating in grid ancillary services.
[0003] Currently, common energy storage solutions, especially in distributed photovoltaic application scenarios such as schools and industrial parks, typically use fixed thresholds or simple rules, without considering the dynamic matching of energy fluctuations and load demand. Summary of the Invention
[0004] The main objective of this application is to provide an energy management method, apparatus, equipment, storage medium, and program product, which aims to solve the technical problem that existing energy management methods at the energy storage end fail to consider the dynamic matching of energy fluctuations and load demand.
[0005] To achieve the above objectives, this application proposes an energy management method, which is applied to an energy management system, the system comprising: a power generation end, a power consumption end, and an energy storage end; the method comprising: Obtain the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal; Based on the power generation parameters and the power consumption parameters, dynamic identification of energy hotspots is performed to obtain the power generation hotspot interval at the power generation end and the power consumption hotspot interval at the power consumption end; wherein, the power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the preset time period. Within the power generation hotspot area, the generated electrical energy obtained from the power generation end is stored in the energy storage end; Within the hotspot area of electricity consumption, power is supplied to the electricity consumption area based on the electricity consumption strategy and using the generated electricity stored in the energy storage terminal.
[0006] In one embodiment, the step of dynamically identifying energy hotspots based on the power generation parameters and the power consumption parameters to obtain the power generation hotspot range at the power generation end and the power consumption hotspot range at the power consumption end includes: Divide the preset time period into several time intervals; The power generation at the power generation terminal within each of the stated time intervals is determined based on the power generation parameters; and... The power consumption of the power-consuming terminal in each of the time intervals is determined based on the power consumption parameters. The power generation hotspot range of the power generation terminal and the power consumption hotspot range of the power consumption terminal are determined based on the power generation and the power consumption.
[0007] In one embodiment, the step of determining the power generation hotspot range of the power generation terminal and the power consumption hotspot range of the power consumption terminal based on the power generation and the power consumption includes: Obtain the power generation threshold at the power generation terminal and the power consumption threshold at the power consumption terminal; A sliding window analysis is performed based on the power generation threshold and the power generation within each of the time intervals to determine a first continuous time interval exceeding the power generation threshold; and... A sliding window analysis is performed based on the electricity consumption threshold and the electricity consumption within each time interval to determine a second continuous time interval that exceeds the electricity consumption threshold; The first continuous time interval is designated as the power generation hotspot interval of the power generation end, and the second continuous time interval is designated as the power consumption hotspot interval of the power consumption end.
[0008] In one embodiment, before the step of using the generated electrical energy stored in the energy storage terminal to supply power to the power consumer based on the power consumption strategy within the power consumption hotspot area, the method further includes: Obtain relevant parameters of the power generation at the power generation terminal; Based on the relevant parameters, the power generation within the current time interval is predicted to obtain the predicted power generation; and, Based on the electricity consumption parameters, predict the electricity consumption within the current time interval to obtain the predicted electricity consumption. A power consumption strategy is generated based on the predicted power generation and the predicted power consumption.
[0009] In one embodiment, the step of generating an electricity consumption strategy based on the predicted power generation and the predicted electricity consumption includes: When the predicted power generation is not less than the predicted power consumption, a first power consumption strategy is generated to use the current power generation at the power generation terminal as the power supply for the power consumption terminal. When the predicted power generation is less than the predicted power consumption, a second power consumption strategy is generated that uses the current power generation at the power generation terminal and the power generation stored in the energy storage terminal as the power supply to the power consumption terminal.
[0010] In one embodiment, the step of obtaining the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal includes: Acquire the photovoltaic output data of the power generation end and the power consumption data of the power consumption end; The power generation parameters of the power generation end are determined based on the photovoltaic output data, and the power consumption parameters of the power consumption end are determined based on the power consumption data.
[0011] Furthermore, to achieve the above objectives, this application also proposes an energy management device, which includes: The data acquisition module is used to acquire the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal; The hotspot identification module is used to dynamically identify energy hotspots based on the power generation parameters and the power consumption parameters, and obtain the power generation hotspot interval of the power generation end and the power consumption hotspot interval of the power consumption end; wherein, the power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the preset time period. An energy storage management module is used to store the generated electrical energy converted from the power generation terminal to the energy storage terminal within the power generation hotspot area; The power supply management module is used to supply power to the power-consuming end within the power consumption hotspot area based on the power consumption strategy and using the generated electrical energy stored in the energy storage terminal.
[0012] In addition, to achieve the above objectives, this application also proposes an energy management device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the energy management method as described above.
[0013] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the energy management method described above.
[0014] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the energy management method described above.
[0015] One or more technical solutions proposed in this application have at least the following technical effects: This application acquires power generation parameters from the power generation end and power consumption parameters from the power consumption end; based on these parameters, it dynamically identifies energy hotspots to obtain power generation hotspot intervals and power consumption hotspot intervals. The power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the same preset time period. Within the power generation hotspot interval, the generated electricity is stored in an energy storage unit. Within the power consumption hotspot interval, power is supplied to the power consumption end based on a power consumption strategy and using the stored electricity. Because it involves collaborative processing of power generation and power consumption parameters, it enhances the system's monitoring dimensions and achieves a global perception of the system. By determining the power generation and power consumption hotspot intervals and allocating power storage and usage based on these intervals, it achieves energy management based on multi-dimensional data, balancing power generation fluctuations and power consumption load demands, improving system coordination capabilities while reducing system operating costs. Attached Figure Description
[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.
[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart illustrating an embodiment of the energy management method of this application. Figure 2 This is a schematic diagram of the functional modules of the energy management system provided in one implementation of this application; Figure 3 This is a flowchart illustrating Embodiment 2 of the energy management method of this application; Figure 4 This is a flowchart illustrating Embodiment 3 of the energy management method of this application; Figure 5 This is a schematic diagram of the module structure of the energy management device according to an embodiment of this application; Figure 6 This is a schematic diagram of the device structure of the hardware operating environment involved in the energy management method in the embodiments of this application.
[0019] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0020] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.
[0021] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.
[0022] The main solution of this application embodiment is as follows: obtaining the power generation parameters of the power generation end and the power consumption parameters of the power consumption end; performing dynamic identification of energy hotspots based on the power generation parameters and power consumption parameters to obtain the power generation hotspot range of the power generation end and the power consumption hotspot range of the power consumption end; wherein, the power generation hotspot range is the peak power generation time range within a preset time period, and the power consumption hotspot range is the peak power consumption time range within a preset time period; within the power generation hotspot range, storing the generated electrical energy converted by the power generation end to the energy storage end; within the power consumption hotspot range, supplying power to the power consumption end based on the power consumption strategy and using the generated electrical energy stored in the energy storage end.
[0023] This application provides a solution that, by determining the power generation hotspot range at the power generation end and the power consumption hotspot range at the power consumption end, achieves accurate identification and dynamic coordination of the periodic patterns of power generation and consumption. By storing surplus generated electricity in the power generation hotspot range to the energy storage end and releasing it preferentially in the power consumption hotspot range, the system's dependence on high-priced grid electricity is reduced, thereby improving the system's energy self-sufficiency rate.
[0024] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a computer or server, or an electronic device or virtual device capable of performing the above functions. The following description uses an energy management device (hereinafter referred to as the management device) as an example to illustrate this embodiment and the subsequent embodiments.
[0025] Based on this, embodiments of this application provide an energy management method, referring to... Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the energy management method of this application.
[0026] In this embodiment, the energy management method is used for, for example Figure 2 The energy management system shown may include a power generation terminal, a power consumption terminal, an energy storage terminal, and energy management equipment.
[0027] It is understood that the power generation end, i.e., the energy management system, includes devices or equipment capable of generating electrical energy, such as photovoltaic arrays and wind turbines, and this application embodiment does not limit these. The power consumption end, i.e., the energy management system includes devices or equipment capable of using electrical energy, such as lighting, refrigerators, and monitoring systems, and this application embodiment does not limit these. In this application embodiment, photovoltaic power generation to provide electricity to a school is used as an example to describe the solution of this application in detail. The energy storage end, i.e., the energy storage end capable of storing energy in the energy management system, such as lithium-ion batteries and sodium-ion batteries.
[0028] It should be noted that the energy management system in this application embodiment may also include an energy monitoring module for monitoring the power generation end, the power consumption end and the energy storage end. Through this energy monitoring module, photovoltaic output (such as voltage, current, etc.), load power (such as electricity consumption in school teaching buildings, dormitories, etc.) and battery status of the energy storage end (such as battery health status, battery state of charge) can be obtained.
[0029] In this embodiment of the application, the energy management method may include steps S10 to S40: Step S10: Obtain the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal.
[0030] It is understandable that the aforementioned power generation parameters are data collected by the energy monitoring module from power generation-related data, such as output data like current, voltage, and time. When power generation is carried out through different methods, other parameters closely related to these methods can also be collected as power generation parameters, such as meteorological data when using photovoltaic power generation and water flow data when using hydropower generation.
[0031] It should be understood that the above-mentioned electricity parameters are data collected by the energy monitoring module from electricity-related data, such as voltage, time, and power consumption.
[0032] It should be noted that when collecting the above-mentioned power generation and power consumption parameters, the sampling frequency can be determined according to the situation, such as once every ten milliseconds, once every five milliseconds, etc. In some embodiments, the sampling frequency of this application embodiment can be 10ms / time to ensure the capture of high-frequency fluctuations in photovoltaic processing (such as sudden power changes caused by cloud cover).
[0033] In some embodiments of this application, the step of obtaining the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal includes: obtaining photovoltaic power output data of the power generation terminal and power consumption data of the power consumption terminal; determining the power generation parameters of the power generation terminal based on the photovoltaic power output data, and determining the power consumption parameters of the power consumption terminal based on the power consumption data.
[0034] It should be noted that when the energy management system is a photovoltaic power generation-based system, the aforementioned photovoltaic output data may include power generation value, photovoltaic conversion efficiency, peak power, valley power, meteorological data, etc., and this application embodiment does not limit this. The aforementioned power consumption data may include the power consumption data of the entire power consumption terminal and its various parts, such as the total power of the power consumption terminal, branch power, load curve, etc., and this application embodiment does not limit this.
[0035] In a specific implementation, the management device in this application embodiment can obtain the power generation parameters of the power generation end and the power consumption parameters of the power consumption end, thereby providing a reference for the formulation of the system's power consumption strategy.
[0036] Step S20: Based on the power generation parameters and the power consumption parameters, perform dynamic identification of energy hotspots to obtain the power generation hotspot interval of the power generation end and the power consumption hotspot interval of the power consumption end; wherein, the power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the preset time period. Step S30: Within the power generation hotspot area, the generated electrical energy obtained from the power generation terminal is stored in the energy storage terminal; Step S40: Within the power consumption hotspot area, power is supplied to the power consumption terminal based on the power consumption strategy and using the generated electrical energy stored in the energy storage terminal.
[0037] It should be noted that the aforementioned hotspot range for electricity consumption refers to the time window during which the electricity demand at the consumer end is most concentrated and the power consumption is highest within the preset time period; the aforementioned hotspot range for power generation refers to the time window during which the power output at the power generation end is highest within the preset time period.
[0038] It should be understood that the above-mentioned preset time period can be set according to the needs of actual application, such as one day and / or one week and / or one month. Specifically, it can be determined according to the periodic characteristics of electricity consumption in the electricity consumption scenario. This application embodiment does not limit this.
[0039] For example, when the electricity consumption scenario is a school, the preset time period can usually be set to one day and one week respectively. The period from 6 pm to 10 pm every day is usually the hot period for electricity consumption; the period from 2 pm to 6 pm every day is usually the hot period for power generation.
[0040] In some embodiments of this application, a preset time period can be divided into several time intervals, within which power consumption hotspots and power generation hotspots can be identified. Generally, grid electricity prices also fluctuate periodically. During periods of high electricity load in the grid area, prices are typically higher; that is, grid electricity prices are usually higher within power consumption hotspots. Conversely, during periods of low electricity load in the grid area, prices are typically lower. The solution of this application allows for the storage of generated electricity within power generation hotspots, prioritizing the use of stored energy for power supply within power consumption hotspots. This dynamic coordination between power generation and consumption achieves peak shaving and valley filling in electricity costs, improving system synergy while reducing electricity purchase costs.
[0041] In some embodiments of this application, the energy monitoring module can also monitor the grid electricity price and divide it into high-price ranges, flat-price ranges, and low-price ranges. These price ranges can be used to measure changes in electricity price and electricity consumption. Specifically, they can be divided into electricity hotspot ranges (equivalent to high-price ranges), stable electricity consumption ranges (equivalent to flat-price ranges), and low-price ranges (equivalent to low-price ranges) based on the electricity price / electricity consumption ratio. When the grid electricity price is in the high-price range, the stored energy can be prioritized for power supply. When the grid electricity price is in the flat-price range, weight parameters can be assigned to grid power supply and battery power supply based on the battery parameters in the energy storage unit. The grid power purchase ratio and battery power supply ratio can be determined based on these weight parameters to supply power to the user. When the grid electricity price is in the low-price range, electricity can be prioritized for purchase from the grid for the user, and the electricity generated at the generation end and any excess purchased electricity can be stored in the energy storage unit.
[0042] It should be noted that the aforementioned high-price range refers to the time interval during which the grid electricity price is higher than the preset high-price threshold; the aforementioned flat-price range refers to the time interval during which the grid electricity price is between the preset high-price threshold and the preset low-price threshold; and the aforementioned low-price range refers to the time interval during which the grid electricity price is lower than the preset low-price threshold. These preset high-price thresholds and preset low-price thresholds can be set based on grid electricity price data in actual applications, and are not limited in this embodiment.
[0043] It should be noted that the above-mentioned battery parameters are the parameters related to the energy storage battery at the energy storage end, such as the state of charge (SOC) and state of health (SOH), etc., and the embodiments of this application do not limit them.
[0044] In some embodiments of this application, when the battery health is good (e.g., SOH ≥ 90%), the battery can be charged to a higher state of charge (e.g., SOC ≥ 95%) to meet the power supply demand during peak loads. Conversely, when the battery health is poor (e.g., SOH ≤ 80%), the battery's state of charge at completion of charging can be lowered, for example, SOC = 70% can be considered fully charged, and the depth of discharge of the energy storage battery can be limited, for example, SOC = 30% can be considered depleted. Through these charging and discharging methods, batteries with poor health can be protected from overcharging and discharging, thereby extending the battery's cycle life and improving the power safety of the energy storage device. Specifically, in this embodiment of the application, the method further includes: obtaining the battery health status of the battery in the energy storage terminal; determining the battery to be protected in the energy storage terminal based on the battery health status, wherein the battery to be protected is a battery in the energy storage terminal whose battery health status is lower than a preset health standard value; setting the upper limit of charging of the battery to be protected as a first battery state of charge, and setting the lower limit of charging of the battery to be protected as a second battery state of charge; wherein the first battery state of charge is lower than the battery state of charge of a fully charged battery when healthy but higher than the second battery state of charge, and the second battery state of charge is higher than the battery state of charge of a discharged battery when healthy but lower than the first battery state of charge.
[0045] For example, when the battery is in good health, it is generally considered fully charged when the battery's state of charge (SOC) is greater than 95%, and fully discharged when the SOC is less than 10%. With the protection described in this application, when the battery is in poor health, it is considered fully charged when the SOC is greater than 70%, and fully discharged when the SOC is less than 30%.
[0046] It should be noted that the above-mentioned power consumption strategy refers to the strategy of controlling the power supply method of the power consumption end, such as giving priority to using the power in the energy storage end for power supply, giving priority to purchasing power from the grid, etc. The embodiments of this application do not limit this.
[0047] This application embodiment acquires power generation parameters from the power generation end and power consumption parameters from the power consumption end; based on these parameters, it dynamically identifies energy hotspots to obtain power generation hotspot intervals and power consumption hotspot intervals. The power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the same preset time period. Within the power generation hotspot interval, the generated electricity is stored in an energy storage unit. Within the power consumption hotspot interval, power is supplied to the power consumption end based on a power consumption strategy and using the stored electricity. Because the system collaboratively processes the power generation parameters from both ends, it enhances the system's monitoring dimensions and achieves a global perception of the system. By determining the power generation hotspot interval and the power consumption hotspot interval, and allocating and storing electricity based on these intervals, it achieves energy management based on multi-dimensional data, balancing power generation fluctuations and power consumption load demands, improving system coordination capabilities while reducing system operating costs.
[0048] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 3 , Figure 3 This is a flowchart illustrating Embodiment 2 of the energy management method of this application.
[0049] like Figure 3 As shown in the embodiment of this application, the step of dynamically identifying energy hotspots based on the power generation parameters and the power consumption parameters to obtain the power generation hotspot range at the power generation end and the power consumption hotspot range at the power consumption end includes: Step S21: Divide the preset time period into several time intervals; Step S22: Determine the power generation of the generator in each of the time intervals based on the power generation parameters; and, Step S23: Determine the power consumption of the power-consuming terminal in each of the time intervals based on the power consumption parameters; Step S24: Determine the power generation hotspot range of the power generation terminal and the power consumption hotspot range of the power consumption terminal based on the power generation and the power consumption.
[0050] Understandably, by dividing a preset time period into several time intervals, analysis can be performed based on the periodic changes in power generation and consumption parameters within the preset time period. For example, when the preset time period is one day, it can be divided into 24 time intervals in hours; when the time period is one week or one month, it can be divided in days.
[0051] In this embodiment of the application, a day is used as a preset time period to illustrate the solution. Specifically, by dividing the preset time period, 24 time intervals can be obtained. By statistically analyzing the power generation and consumption in each time interval, the periodic characteristics of the power generation and consumption ends can be determined, thereby identifying the daily peak power generation and consumption intervals for the power generation and consumption ends. For example, 12:00-14:00 and 18:00-22:00 are peak electricity consumption intervals for schools, while 10:00-16:00 is a peak power generation interval for photovoltaic power generation.
[0052] It should be noted that since the hotspots for electricity consumption and the hotspots for power generation may overlap during certain time periods, the electricity generated by the power generation end can be directly supplied to the electricity consumption end or stored in the energy storage end and then supplied to the electricity consumption end. This application does not impose any restrictions on this.
[0053] Understandably, when the energy monitoring module monitors the power generation and consumption ends, the monitored power generation and consumption parameters can carry corresponding time information. This time information allows us to determine the power generation at the power generation end and the power consumption at the power consumption end in each time period, thereby identifying power generation hotspots and power consumption hotspots.
[0054] In some embodiments of this application, the determination of power generation hotspot intervals and power consumption hotspot intervals can be achieved based on a sliding time window method. Specifically, the step of determining the power generation hotspot interval of the power generation end and the power consumption hotspot interval of the power consumption end based on the power generation and the power consumption includes: obtaining the power generation threshold of the power generation end and the power consumption threshold of the power consumption end; performing sliding window analysis based on the power generation threshold and the power generation in each time interval to determine a first continuous time interval exceeding the power generation threshold; and performing sliding window analysis based on the power consumption threshold and the power consumption in each time interval to determine a second continuous time interval exceeding the power consumption threshold; using the first continuous time interval as the power generation hotspot interval of the power generation end and the second continuous time interval as the power consumption hotspot interval of the power consumption end.
[0055] It should be noted that the power generation or consumption within each time interval can be obtained through integration or averaging, and this application embodiment does not impose any restrictions on this. The power generation threshold and consumption threshold can be set based on historical data and system requirements, or they can be set based on experience; this application embodiment does not impose any restrictions on this.
[0056] It is understandable that a sliding time window can be a continuous time period of fixed length (i.e., a time window) that slides forward synchronously as the current time progresses. By analyzing the data within the time window, dynamic updates and adaptive adjustments to the electricity consumption strategy can be achieved. Specifically, in this application embodiment, a 24-hour time window can be set to analyze the electricity consumption and power generation of each time interval within the current time window in real time. If the electricity consumption and / or power generation in a certain time interval exceeds a set threshold (e.g., electricity consumption exceeds a consumption threshold, power generation exceeds a preset power threshold), that time interval can be preliminarily identified as a potential electricity hotspot. Similarly, if the power generation and / or power generation in a certain time interval exceeds a set threshold, that time interval can be preliminarily identified as a potential power generation hotspot.
[0057] It should be noted that, since the methods for determining potential hotspot electricity consumption intervals and hotspot electricity generation intervals are similar, this embodiment uses hotspot electricity consumption intervals as an example to illustrate the scheme in this embodiment. The method for identifying hotspot electricity generation intervals can be adaptively adjusted with reference to hotspot electricity consumption intervals, and this embodiment will not elaborate on this. Specifically, this embodiment can determine the duration and frequency of potential hotspot electricity consumption intervals within a sliding window. If several consecutive time intervals are potential hotspot electricity consumption intervals, these consecutive time intervals can be identified as actual hotspot electricity consumption intervals (i.e., the second consecutive time interval). By determining hotspot electricity consumption intervals and hotspot discharge intervals, clear scheduling targets are provided for the charging and discharging behaviors of the energy storage end. Through the coordination of the discharging side and the charging side, peak shaving and valley filling of electrical energy on the time axis are achieved, reducing the system's operating costs. Through sliding time analysis, dynamic updates of hotspot intervals (such as hotspot electricity generation intervals / hotspot electricity consumption intervals) are realized, and the charging and electricity consumption strategies of the energy storage end are dynamically adjusted, improving the adaptability to different scenarios.
[0058] In its specific implementation, this application's embodiments draw on the serial Flash cache management mechanism to divide the timeline into several time intervals (e.g., 1 hour intervals), record the electricity consumption and power generation in each interval using a hash table, and use a sliding window method to achieve real-time updates of hotspot intervals.
[0059] It should be noted that the serial Flash cache management mechanism is a data management strategy that identifies frequently accessed hot data by monitoring data access patterns in real time and stores this hot data in a fast cache to accelerate read and write speeds. This mechanism is borrowed in the energy storage device of this application to optimize energy management: the system can monitor the power consumption and generation ends in real time, identifying high-frequency power consumption hotspots and power generation hotspots. Power generated within the power generation hotspots can be marked as hotspot energy for priority storage. When photovoltaic power output is sufficient, the generation end can prioritize energy storage for the power consumption hotspots, ensuring that the stored energy can be used preferentially within these hotspots, reducing dependence on the grid and improving energy utilization efficiency. This not only improves the energy storage device's response speed to high-frequency fluctuations but also achieves efficient energy utilization and precise scheduling.
[0060] In some embodiments of this application, in order to enhance the adaptability of the system, before the step of using the generated electricity stored in the energy storage terminal to supply power to the power consumer based on the electricity consumption strategy within the electricity hotspot area, the method further includes: obtaining relevant parameters of the power generation of the power generation terminal; predicting the power generation within the current time interval based on the relevant parameters to obtain the predicted power generation; and predicting the electricity consumption within the current time interval based on the electricity consumption parameters to obtain the predicted electricity consumption; and generating an electricity consumption strategy based on the predicted power generation and the predicted electricity consumption.
[0061] It should be noted that the aforementioned parameters are those closely related to the power generation capacity of the generator. For example, weather data for photovoltaic power generation.
[0062] In some embodiments of this application, the energy storage strategy and electricity consumption strategy can be adjusted in advance by predicting the predicted power generation of photovoltaic systems. Specifically, the embodiments of this application can collect historical meteorological data, including solar radiation intensity, temperature, wind speed, and power generation parameters such as power generation and output of the photovoltaic power generation system under these historical meteorological data. Based on these historical meteorological data and power generation parameters, a prediction model can be constructed, through which the power generation and output parameters of the photovoltaic system under different meteorological conditions can be input.
[0063] It should be noted that the above prediction model can be built based on long short-term memory networks or other architectures, and this application embodiment does not impose any restrictions on this. Based on the constructed prediction model, it is possible to predict relevant weather parameters for a future period of time and obtain the corresponding predicted power generation, such as predicting photovoltaic output for the next 15 minutes to several hours.
[0064] It is understood that the above-mentioned electricity consumption parameters can be predicted based on the electricity consumption parameters within the same historical time interval, and the embodiments of this application do not impose any restrictions on this.
[0065] It should be noted that by predicting future power generation and consumption over a period of time, the power consumption and charging strategies of the energy storage system can be adjusted in advance. If the predicted photovoltaic output is sufficient, the system can charge; if the predicted photovoltaic output is insufficient, the energy storage system can discharge.
[0066] This application's embodiments divide a preset time period into several time intervals; determine the power generation of the generator in each time interval based on power generation parameters; and determine the power consumption of the consumer in each time interval based on power consumption parameters; and determine the power generation hotspot intervals of the generator and the power consumption hotspot intervals of the consumer based on power generation and power consumption. By determining the power consumption hotspot intervals and hotspot discharge intervals, clear scheduling targets are provided for the charging and discharging behavior of the energy storage terminal. Through the coordination of the discharging side and the charging side, peak shaving and valley filling of electrical energy on the time axis are achieved, reducing the system's operating costs. Through sliding time analysis, the hotspot intervals are dynamically updated, and the charging and power consumption strategies of the energy storage terminal are dynamically adjusted, improving the adaptability to different scenarios.
[0067] Based on the first and / or second embodiments of this application, in the third embodiment of this application, the content that is the same as or similar to the first and / or second embodiments described above can be referred to the above description and will not be repeated hereafter. Based on this, please refer to... Figure 4 , Figure 4 This is a flowchart illustrating Embodiment 3 of the energy management method of this application.
[0068] The step of generating an electricity consumption strategy based on the predicted power generation and the predicted electricity consumption includes: Step S210: When the predicted power generation is not less than the predicted power consumption, generate a first power consumption strategy that uses the current power generation energy of the power generation terminal as the power supply energy of the power consumption terminal. Step S220: When the predicted power generation is less than the predicted power consumption, a second power consumption strategy is generated that uses the current power generation at the power generation terminal and the power generation stored in the energy storage terminal as the power supply for the power consumption terminal.
[0069] It should be noted that within the hotspot area of electricity demand, if the predicted power generation is not less than the predicted power consumption, the current generated electricity can be directly supplied to the consumer using the power supply from the generator. If the predicted power generation is less than the predicted power consumption, the current generated electricity and the stored generated electricity in the energy storage system can be supplied to the consumer using the power supply from the generator. If the predicted power consumption is greater than the sum of the predicted power generation and the stored generated electricity, the shortfall can be addressed by purchasing electricity from the grid to meet the system's power demand.
[0070] This application embodiment generates a first power consumption strategy when the predicted power generation is not less than the predicted power consumption, which utilizes the current generated power from the generator to the power supply from the application terminal; and generates a second power consumption strategy when the predicted power generation is less than the predicted power consumption, which utilizes the current generated power from the generator and the generated power stored in the energy storage terminal to the power supply from the application terminal. Because the comparison is based on predicted data, the coordination between the generation side, the power consumption side, and the energy storage side enables advance adjustment of the charging and discharging of the energy storage terminal.
[0071] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the energy management method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.
[0072] This application also provides an energy management device, please refer to... Figure 5 , Figure 5 This is a schematic diagram of the module structure of an energy management device according to an embodiment of this application. The energy management device includes: The data acquisition module 10 is used to acquire the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal; The hotspot identification module 20 is used to dynamically identify energy hotspots based on the power generation parameters and the power consumption parameters, and obtain the power generation hotspot interval of the power generation end and the power consumption hotspot interval of the power consumption end; wherein, the power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the preset time period. The energy storage management module 30 is used to store the generated electrical energy converted from the power generation terminal to the energy storage terminal within the power generation hotspot area; The power supply management module 40 is used to supply power to the power consumption end within the power consumption hotspot area based on the power consumption strategy and using the generated electrical energy stored in the energy storage terminal.
[0073] The energy management device provided in this application, employing the energy management method described in the above embodiments, can solve the technical problem that existing energy management methods at the energy storage end fail to consider the dynamic matching of energy fluctuations and load demand. Compared with the prior art, the beneficial effects of the energy management device provided in this application are the same as those of the energy management method provided in the above embodiments, and other technical features in the energy management device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.
[0074] This application provides an energy management device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the energy management method in Embodiment 1 above.
[0075] The following is for reference. Figure 6 The diagram illustrates a structural schematic of an energy management device suitable for implementing embodiments of this application. The energy management device in these embodiments may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The energy management device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of this application.
[0076] like Figure 6 As shown, the energy management device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 1002 or a program loaded from storage device 1003 into random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the energy management device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the energy management device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows energy management devices with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.
[0077] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.
[0078] The energy management device provided in this application, employing the energy management method described in the above embodiments, can solve the technical problem that existing energy management methods at the energy storage end fail to consider the dynamic matching of energy fluctuations and load demand. Compared with the prior art, the beneficial effects of the energy management device provided in this application are the same as those of the energy management method provided in the above embodiments, and other technical features of this energy management device are the same as those disclosed in the previous embodiment method, and will not be repeated here.
[0079] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.
[0080] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
[0081] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the energy management method in the above embodiments.
[0082] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory, optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.
[0083] The aforementioned computer-readable storage medium may be included in the energy management device; or it may exist independently and not be assembled into the energy management device.
[0084] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the energy management device, cause the energy management device to: Obtain the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal; Based on the power generation parameters and the power consumption parameters, dynamic identification of energy hotspots is performed to obtain the power generation hotspot interval at the power generation end and the power consumption hotspot interval at the power consumption end; wherein, the power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the preset time period. Within the power generation hotspot area, the generated electrical energy obtained from the power generation end is stored in the energy storage end; Within the hotspot area of electricity consumption, power is supplied to the electricity consumption area based on the electricity consumption strategy and using the generated electricity stored in the energy storage terminal.
[0085] Computer program code for performing the operations of this application can be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, and C++, as well as conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0086] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.
[0087] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.
[0088] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described energy management method. This solves the technical problem that existing energy management methods at the energy storage end fail to consider the dynamic matching of energy fluctuations and load demand. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the energy management method provided in the above embodiments, and will not be repeated here.
[0089] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the energy management method described above.
[0090] The computer program product provided in this application can solve the technical problem that existing energy management methods for energy storage fail to consider the dynamic matching of energy fluctuations and load demand. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the energy management methods provided in the above embodiments, and will not be repeated here.
[0091] The above description is only a part of the embodiments of this application and does not limit the scope of protection of this application. All equivalent structural transformations made under the technical concept of this application and using the content of this application specification and drawings, or direct / indirect applications in other related technical fields, are included in the scope of protection of this application.
Claims
1. An energy management method, characterized in that, The method is applied to an energy management system, the system comprising: a power generation end, a power consumption end, and an energy storage end; the method includes: Obtain the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal; Based on the power generation parameters and the power consumption parameters, dynamic identification of energy hotspots is performed to obtain the power generation hotspot interval at the power generation end and the power consumption hotspot interval at the power consumption end; wherein, the power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the preset time period. Within the power generation hotspot area, the generated electrical energy obtained from the power generation end is stored in the energy storage end; Within the hotspot area of electricity consumption, power is supplied to the electricity consumption area based on the electricity consumption strategy and using the generated electricity stored in the energy storage terminal.
2. The energy management method as described in claim 1, characterized in that, The step of dynamically identifying energy hotspots based on the power generation parameters and the power consumption parameters to obtain the power generation hotspot range at the power generation end and the power consumption hotspot range at the power consumption end includes: Divide the preset time period into several time intervals; The power generation at the power generation terminal within each of the stated time intervals is determined based on the power generation parameters; and... The power consumption of the power-consuming terminal in each of the time intervals is determined based on the power consumption parameters. The power generation hotspot range of the power generation terminal and the power consumption hotspot range of the power consumption terminal are determined based on the power generation and the power consumption.
3. The energy management method as described in claim 2, characterized in that, The step of determining the power generation hotspot range of the power generation terminal and the power consumption hotspot range of the power consumption terminal based on the power generation and the power consumption includes: Obtain the power generation threshold at the power generation terminal and the power consumption threshold at the power consumption terminal; A sliding window analysis is performed based on the power generation threshold and the power generation within each of the time intervals to determine a first continuous time interval exceeding the power generation threshold; and... A sliding window analysis is performed based on the electricity consumption threshold and the electricity consumption within each time interval to determine a second continuous time interval that exceeds the electricity consumption threshold; The first continuous time interval is designated as the power generation hotspot interval of the power generation end, and the second continuous time interval is designated as the power consumption hotspot interval of the power consumption end.
4. The energy management method as described in claim 2, characterized in that, Before the step of using the generated electrical energy stored in the energy storage terminal to supply power to the electricity consumer based on the electricity consumption strategy within the electricity consumption hotspot area, the method further includes: Obtain relevant parameters of the power generation at the power generation terminal; Based on the relevant parameters, the power generation within the current time interval is predicted to obtain the predicted power generation; and, Based on the electricity consumption parameters, predict the electricity consumption within the current time interval to obtain the predicted electricity consumption. A power consumption strategy is generated based on the predicted power generation and the predicted power consumption.
5. The energy management method as described in claim 4, characterized in that, The step of generating an electricity consumption strategy based on the predicted power generation and the predicted electricity consumption includes: When the predicted power generation is not less than the predicted power consumption, a first power consumption strategy is generated to use the current power generation at the power generation terminal as the power supply for the power consumption terminal. When the predicted power generation is less than the predicted power consumption, a second power consumption strategy is generated that uses the current power generation at the power generation terminal and the power generation stored in the energy storage terminal as the power supply to the power consumption terminal.
6. The energy management method as described in claim 1, characterized in that, The step of obtaining the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal includes: Acquire the photovoltaic output data of the power generation end and the power consumption data of the power consumption end; The power generation parameters of the power generation end are determined based on the photovoltaic output data, and the power consumption parameters of the power consumption end are determined based on the power consumption data.
7. An energy management device, characterized in that, The energy management device is used to implement the energy management method as described in any one of claims 1-6, the device comprising: The data acquisition module is used to acquire the power generation parameters of the power generation terminal and the power consumption parameters of the power consumption terminal; The hotspot identification module is used to dynamically identify energy hotspots based on the power generation parameters and the power consumption parameters, and obtain the power generation hotspot interval of the power generation end and the power consumption hotspot interval of the power consumption end; wherein, the power generation hotspot interval is the peak power generation time interval within a preset time period, and the power consumption hotspot interval is the peak power consumption time interval within the preset time period. An energy storage management module is used to store the generated electrical energy converted from the power generation terminal to the energy storage terminal within the power generation hotspot area; The power supply management module is used to supply power to the power-consuming end within the power hotspot area based on the power consumption strategy and using the generated electrical energy stored in the energy storage terminal.
8. An energy management device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the energy management method as described in any one of claims 1 to 6.
9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the energy management method as described in any one of claims 1 to 6.
10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the energy management method as described in any one of claims 1 to 6.