Energy section management-based residential area energy scheduling method and device, and storage medium

By adopting a residential energy dispatching method based on energy segmentation management, energy storage equipment and grid power purchase strategies are formulated according to electricity consumption time and photovoltaic power output information. This solves the problem of low photovoltaic power utilization efficiency, reduces grid power purchase costs, and stabilizes building electricity demand.

CN118944152BActive Publication Date: 2026-03-31YUNCHENG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-09
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Existing technologies cannot effectively utilize photovoltaic power, resulting in high grid purchase costs and difficulty in meeting the stability of building electricity demand.

Method used

By using a residential energy dispatching method based on energy segmentation management, dispatching strategies for energy storage devices and grid power purchases are formulated according to the type of electricity consumption period, photovoltaic power output information, and electricity consumption information. These strategies include charging and discharging strategies and power purchase strategies, thereby optimizing the utilization of photovoltaic power and grid power purchases.

Benefits of technology

This achieves efficient utilization of photovoltaic power, reduces the cost of purchasing electricity from the grid, and ensures that the electricity needs of each building are met, thus promoting efficient energy utilization and energy conservation and emission reduction.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a residential area energy scheduling method and device based on energy section management, a storage medium and a computer device. The method comprises the following steps: acquiring an electricity consumption period type, photovoltaic output information and electricity consumption information of each building of a target period of a scheduled residential area; for any building, determining an energy scheduling strategy of the building in the target period according to the electricity consumption period type, the photovoltaic output information and the electricity consumption information, and performing electricity scheduling of energy storage equipment and grid electricity purchase for each building, wherein the energy scheduling strategy comprises a charging and discharging strategy of the energy storage equipment and a grid electricity purchase strategy. The application can more effectively utilize photovoltaic electric energy, reduce grid electricity purchase cost, and ensure that the electricity consumption demand of each building is met. The application is helpful to realize the goal of efficient energy utilization and energy saving and emission reduction.
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Description

Technical Field

[0001] This application relates to the field of energy dispatching technology, and in particular to a residential area energy dispatching method and apparatus, storage medium, and computer equipment based on energy segmentation management. Background Technology

[0002] With the continuous improvement of the flexibility and reliability of battery energy storage systems, the hybrid utilization of energy storage and renewable energy is playing an increasingly important role in accelerating the development of smart grids and the energy internet. Solar and wind farms exhibit strong random fluctuation characteristics, and developing distributed battery storage is one of the effective ways to address this issue. By configuring multiple distributed energy storage batteries for joint optimization and coordination, sufficient power capacity can be provided to guarantee the grid, alleviate power supply pressure, and achieve stable operation of the power system. Summary of the Invention

[0003] In view of this, embodiments of this application provide a residential area energy dispatching method and apparatus, storage medium, and computer equipment based on energy segmentation management. This method can more effectively utilize photovoltaic power, reduce grid power purchase costs, and ensure that the electricity needs of each building are met. It helps achieve the goals of efficient energy utilization and energy conservation and emission reduction.

[0004] According to one aspect of this application, a residential area energy dispatching method based on energy segmentation management is provided, the method comprising:

[0005] Obtain the electricity consumption time type, photovoltaic power output information, and electricity consumption information of each building in the target time period of the residential area being dispatched;

[0006] For any building, based on the electricity consumption period type, the photovoltaic power output information, and the electricity consumption information, an energy dispatch strategy for the target period of the building is determined, and electricity consumption dispatch is carried out for each building for energy storage devices and power purchase from the grid. The energy dispatch strategy includes a charging and discharging strategy for energy storage devices and a power purchase strategy from the grid.

[0007] Optionally, the photovoltaic output information is used to indicate whether the target time period is a photovoltaic output period or a non-photovoltaic output period, and is also used to indicate the photovoltaic output of the target time period that belongs to the photovoltaic output period; the electricity consumption information includes the total electricity load of the target time period;

[0008] For any building, based on the electricity consumption period type, the photovoltaic output information, and the electricity consumption information, an energy dispatch strategy for the target period of the building is determined, including:

[0009] If the target time period is a photovoltaic output period and the photovoltaic output is greater than or equal to the total electricity load, then photovoltaic power is used to supply power to the building's electricity load. The first charging power of the energy storage device is determined based on the maximum charging power of the energy storage device, the photovoltaic output, and the total electricity load. The remaining photovoltaic power is used to charge the building's energy storage device at the first charging power. When the energy storage device completes charging, the remaining photovoltaic power is input into the power grid.

[0010] If the target time period is the photovoltaic output period and the photovoltaic output is less than the total electricity load, then the first discharge power of the energy storage device is determined based on the maximum discharge power of the energy storage device, the photovoltaic output, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; it is then determined whether the first discharge power and the photovoltaic output meet the demand of the total electricity load. If they do, the energy storage device and photovoltaic power of the building are used to supply power to the building's electricity load; otherwise, the first electricity purchase information is determined based on the total electricity load, the photovoltaic output, the converter conversion efficiency, and the first discharge power, and electricity is purchased from the grid according to the first electricity purchase information.

[0011] Optionally, for any building, determining the energy dispatch strategy for a target time period based on the electricity consumption period type, the photovoltaic output information, and the electricity consumption information further includes:

[0012] If the target time period is a non-photovoltaic output period and the electricity consumption period type is not an off-peak period, then the second discharge power of the energy storage device is determined based on the maximum discharge power of the energy storage device, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; it is then determined whether the second discharge power meets the demand of the total electricity load. If it does, the energy storage device of the building is used to supply power to the building's electricity load; otherwise, the second electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the second discharge power, and electricity is purchased from the grid according to the second electricity purchase information.

[0013] If the target time period is a non-photovoltaic output period and the electricity consumption period type is an off-peak period, then the third electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the maximum charging power of the energy storage device. Electricity is purchased from the grid according to the third electricity purchase information, and the electricity purchased from the grid is used to power the building's electrical equipment and charge the building's energy storage device.

[0014] Optionally, the method further includes:

[0015] Based on the historical electricity consumption information of each building, the average electricity load during off-peak hours and the electricity load during each off-peak hour are calculated.

[0016] The valley time period in which the electricity load is less than the average electricity load during the valley time period is divided into the first valley time period, and the remaining valley time period is divided into the second valley time period.

[0017] Optionally, if the target time period is a non-photovoltaic output period and the electricity consumption period type is a valley time, then a third electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the maximum charging power of the energy storage device. Electricity is then purchased from the grid according to the third electricity purchase information, and the purchased electricity is used to power the building's electrical equipment and charge the building's energy storage device, including:

[0018] If the target time period is a non-photovoltaic output period and the target time period belongs to the first valley period, then the second charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley period, the state of charge of the energy storage device at the end of the preset valley period, the capacity of the energy storage device, the number of first valley periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; the fourth electricity purchase information is determined based on the total electricity load, the conversion efficiency of the converter, and the second charging power, and electricity is purchased from the grid according to the fourth electricity purchase information, and the electricity purchased from the grid is used to power the electrical equipment in the building and to charge the energy storage device in the building;

[0019] If the target time period is a non-photovoltaic output period and the target time period belongs to the second valley period, then the third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley period, the state of charge of the energy storage device at the end of the first valley period, the capacity of the energy storage device, the number of second valley periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; the fifth electricity purchase information is determined based on the total electricity load, the conversion efficiency of the converter, and the third charging power, and electricity is purchased from the grid according to the fifth electricity purchase information, and the electricity purchased from the grid is used to supply power to the electrical equipment in the building and to charge the energy storage device in the building; wherein, the state of charge of the energy storage device at the end of the first valley period is determined based on the state of charge of the energy storage device at the beginning of the valley period, the number of first valley periods, the second charging power, the charging efficiency of the energy storage device, and the capacity of the energy storage device.

[0020] Optionally, the second charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the off-peak period, the state of charge of the energy storage device at the end of the preset off-peak period, the capacity of the energy storage device, the number of first off-peak periods, and the maximum charging power of the energy storage device, including:

[0021] If the state of charge of the energy storage device during the target time period is less than the state of charge of the energy storage device at the end of the preset valley time period, the second charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the preset valley time period, the capacity of the energy storage device, the number of first valley time periods, and the maximum charging power of the energy storage device; otherwise, the energy storage device is not charged.

[0022] Optionally, the third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the off-peak period, the state of charge of the energy storage device at the end of the first off-peak period, the capacity of the energy storage device, the number of second off-peak periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter, including:

[0023] If the state of charge of the energy storage device during the target time period is less than the state of charge of the energy storage device at the end of the preset valley time period, the third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the first valley time period, the capacity of the energy storage device, the number of second valley time periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; otherwise, the energy storage device is not charged.

[0024] According to another aspect of this application, a residential area energy dispatching device based on energy segmentation management is provided, the device being used for:

[0025] Obtain the electricity consumption time type, photovoltaic power output information, and electricity consumption information of each building in the target time period of the residential area being dispatched;

[0026] For any building, based on the electricity consumption period type, the photovoltaic power output information, and the electricity consumption information, an energy dispatch strategy for the target period of the building is determined, and electricity consumption dispatch is carried out for each building for energy storage devices and power purchase from the grid. The energy dispatch strategy includes a charging and discharging strategy for energy storage devices and a power purchase strategy from the grid.

[0027] Optionally, the photovoltaic output information is used to indicate whether the target time period is a photovoltaic output period or a non-photovoltaic output period, and is also used to indicate the photovoltaic output of the target time period that belongs to the photovoltaic output period; the electricity consumption information includes the total electricity load of the target time period;

[0028] The device is also used for:

[0029] If the target time period is a photovoltaic output period and the photovoltaic output is greater than or equal to the total electricity load, then photovoltaic power is used to supply power to the building's electricity load. The first charging power of the energy storage device is determined based on the maximum charging power of the energy storage device, the photovoltaic output, and the total electricity load. The remaining photovoltaic power is used to charge the building's energy storage device at the first charging power. When the energy storage device completes charging, the remaining photovoltaic power is input into the power grid.

[0030] If the target time period is the photovoltaic output period and the photovoltaic output is less than the total electricity load, then the first discharge power of the energy storage device is determined based on the maximum discharge power of the energy storage device, the photovoltaic output, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; it is then determined whether the first discharge power and the photovoltaic output meet the demand of the total electricity load. If they do, the energy storage device and photovoltaic power of the building are used to supply power to the building's electricity load; otherwise, the first electricity purchase information is determined based on the total electricity load, the photovoltaic output, the converter conversion efficiency, and the first discharge power, and electricity is purchased from the grid according to the first electricity purchase information.

[0031] Optionally, the device is further used for:

[0032] If the target time period is a non-photovoltaic output period and the electricity consumption period type is not an off-peak period, then the second discharge power of the energy storage device is determined based on the maximum discharge power of the energy storage device, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; it is then determined whether the second discharge power meets the demand of the total electricity load. If it does, the energy storage device of the building is used to supply power to the building's electricity load; otherwise, the second electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the second discharge power, and electricity is purchased from the grid according to the second electricity purchase information.

[0033] If the target time period is a non-photovoltaic output period and the electricity consumption period type is an off-peak period, then the third electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the maximum charging power of the energy storage device. Electricity is purchased from the grid according to the third electricity purchase information, and the electricity purchased from the grid is used to power the building's electrical equipment and charge the building's energy storage device.

[0034] Optionally, the device is further used for:

[0035] Based on the historical electricity consumption information of each building, the average electricity load during off-peak hours and the electricity load during each off-peak hour are calculated.

[0036] The valley time period in which the electricity load is less than the average electricity load during the valley time period is divided into the first valley time period, and the remaining valley time period is divided into the second valley time period.

[0037] Optionally, the device is further used for:

[0038] If the target time period is a non-photovoltaic output period and the target time period belongs to the first valley period, then the second charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley period, the state of charge of the energy storage device at the end of the preset valley period, the capacity of the energy storage device, the number of first valley periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; the fourth electricity purchase information is determined based on the total electricity load, the conversion efficiency of the converter, and the second charging power, and electricity is purchased from the grid according to the fourth electricity purchase information, and the electricity purchased from the grid is used to power the electrical equipment in the building and to charge the energy storage device in the building;

[0039] If the target time period is a non-photovoltaic output period and the target time period belongs to the second valley period, then the third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley period, the state of charge of the energy storage device at the end of the first valley period, the capacity of the energy storage device, the number of second valley periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; the fifth electricity purchase information is determined based on the total electricity load, the conversion efficiency of the converter, and the third charging power, and electricity is purchased from the grid according to the fifth electricity purchase information, and the electricity purchased from the grid is used to supply power to the electrical equipment in the building and to charge the energy storage device in the building; wherein, the state of charge of the energy storage device at the end of the first valley period is determined based on the state of charge of the energy storage device at the beginning of the valley period, the number of first valley periods, the second charging power, the charging efficiency of the energy storage device, and the capacity of the energy storage device.

[0040] Optionally, the device is further used for:

[0041] If the state of charge of the energy storage device during the target time period is less than the state of charge of the energy storage device at the end of the preset valley time period, the second charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the preset valley time period, the capacity of the energy storage device, the number of first valley time periods, and the maximum charging power of the energy storage device; otherwise, the energy storage device is not charged.

[0042] Optionally, the device is further used for:

[0043] If the state of charge of the energy storage device during the target time period is less than the state of charge of the energy storage device at the end of the preset valley time period, the third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the first valley time period, the capacity of the energy storage device, the number of second valley time periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; otherwise, the energy storage device is not charged.

[0044] According to another aspect of this application, a storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described residential area energy dispatching method based on energy segmentation management.

[0045] According to another aspect of this application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the program to implement the above-described residential energy dispatching method based on energy segmentation management.

[0046] Using the above technical solution, this application provides a residential area energy dispatching method and device, storage medium, and computer equipment based on energy segmentation management. This method collects relevant information about the residential area during a specific target time period, including: Electricity consumption time type: This typically refers to whether the time period is peak, off-peak, or low-peak. Different time period types may affect electricity prices and the tightness of power supply. Photovoltaic output information: This refers to the amount of electricity generated by photovoltaic systems (such as solar panels) within the residential area during the target time period. Photovoltaic output is affected by weather conditions (such as solar radiation intensity) and time (such as day or night). Electricity consumption information of each building: This includes the expected or actual electricity consumption of each building during the target time period, as well as their respective electricity needs and characteristics. After collecting the necessary information, the next step is to formulate an energy dispatching strategy. This step is performed for each building within the residential area, and the specific operations include: Information analysis: The system performs a comprehensive analysis based on the collected electricity consumption time type, photovoltaic output information, and electricity consumption information of each building. This involves assessing the power supply and demand situation, and considering how to utilize photovoltaic power, energy storage devices, and grid power purchases to meet the electricity needs of each building. Determining Energy Dispatch Strategies: Based on the above analysis, the system formulates specific energy dispatch strategies for each building. These strategies include: Energy Storage Device Charging and Discharging Strategies: Determining when to charge energy storage devices (e.g., when photovoltaic output exceeds electricity demand) and when to discharge them (e.g., during peak hours or when photovoltaic output is insufficient). Grid Power Purchase Strategies: Based on power supply and demand and electricity price information, determining how much electricity to purchase from the grid and when to make the purchase. This typically involves a trade-off between purchase costs and electricity demand. Executing Power Dispatch: According to the determined energy dispatch strategies, the system dispatches electricity for each building. This may include controlling the charging and discharging operations of energy storage devices and arranging power purchase transactions with the grid. Through such energy dispatch strategies, the system can utilize photovoltaic power more effectively, reduce grid power purchase costs, and ensure that the electricity needs of each building are met. This helps achieve the goals of efficient energy use and energy conservation and emission reduction.

[0047] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0048] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0049] Figure 1A flowchart illustrating a residential area energy dispatching method based on energy segmentation management, provided in an embodiment of this application, is shown.

[0050] Figure 2 This paper illustrates a flowchart of another residential area energy dispatching method based on energy segmentation management provided in an embodiment of this application.

[0051] Figure 3 This paper illustrates a flowchart of another residential energy dispatching method based on energy segmentation management provided in an embodiment of this application. Detailed Implementation

[0052] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.

[0053] This embodiment provides a residential area energy dispatching method based on energy segmentation management, such as... Figure 1 As shown, the method includes:

[0054] Step 101: Obtain the electricity consumption period type, photovoltaic power output information, and electricity consumption information of each building in the target period of the residential area being dispatched.

[0055] The photovoltaic output information is used to indicate whether the target time period is a photovoltaic output period or a non-photovoltaic output period, and also to indicate the photovoltaic output of the target time period that belongs to a photovoltaic output period; the electricity consumption information includes the total electricity load of the target time period. Energy optimization scheduling is performed with 30-minute time periods.

[0056] Step 102: For any building, determine the energy dispatch strategy for the target time period of the building based on the electricity consumption period type, the photovoltaic output information, and the electricity consumption information. Perform electricity dispatch for each building on energy storage devices and grid power purchase. The energy dispatch strategy includes the charging and discharging strategy for energy storage devices and the power purchase strategy from the grid.

[0057] By applying the technical solution of this embodiment, relevant information about the residential area during a specific target time period is collected, including: Electricity consumption period type: This typically refers to whether the period is a peak, off-peak, or low-peak electricity consumption period. Different period types may affect electricity prices and the tightness of power supply. Photovoltaic output information: This refers to the amount of electricity generated by photovoltaic systems (such as solar panels) within the residential area during the target time period. Photovoltaic output is affected by weather conditions (such as solar radiation intensity), time (such as day or night), and electricity consumption information of each building: This includes the expected or actual electricity consumption of each building during the target time period, as well as their respective electricity needs and characteristics. After collecting the necessary information, the next step is to formulate an energy dispatch strategy. This step is performed for each building within the residential area, and the specific operations include: Information analysis: The system performs a comprehensive analysis based on the collected electricity consumption period type, photovoltaic output information, and electricity consumption information of each building. This involves assessing the power supply and demand situation and considering how to utilize photovoltaic power, energy storage devices, and grid power purchases to meet the electricity needs of each building. Determining Energy Dispatch Strategies: Based on the above analysis, the system formulates specific energy dispatch strategies for each building. These strategies include: Energy Storage Device Charging and Discharging Strategies: Determining when to charge energy storage devices (e.g., when photovoltaic output exceeds electricity demand) and when to discharge them (e.g., during peak electricity demand periods or when photovoltaic output is insufficient). Grid Purchase Strategies: Determining how much electricity to purchase from the grid and when to purchase it based on electricity supply and demand and price information. This typically involves a trade-off between purchase costs and electricity demand. Executing Electricity Dispatch: Based on the determined energy dispatch strategies, the system dispatches electricity consumption for each building. This may include controlling the charging and discharging operations of energy storage devices and arranging electricity purchase transactions with the grid. Through such energy dispatch strategies, the system can utilize photovoltaic power more effectively, reduce grid purchase costs, and ensure that the electricity demand of each building is met. This contributes to achieving the goals of efficient energy utilization and energy conservation and emission reduction.

[0058] In this embodiment of the application, specifically for periods with photovoltaic power output, step 102 includes:

[0059] Step 102-1: If the target time period is a photovoltaic output period and the photovoltaic output is greater than or equal to the total electricity load, then photovoltaic power is used to supply power to the building's electricity load. The first charging power of the energy storage device is determined based on the maximum charging power of the energy storage device, the photovoltaic output, and the total electricity load. The remaining photovoltaic power is used to charge the building's energy storage device at the first charging power. When the energy storage device completes charging, the remaining photovoltaic power is input into the power grid.

[0060] Step 102-2: If the target time period is the photovoltaic output period and the photovoltaic output is less than the total electricity load, then determine the first discharge power of the energy storage device based on the maximum discharge power of the energy storage device, the photovoltaic output, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; determine whether the first discharge power and the photovoltaic output meet the demand of the total electricity load. If they do, then use the building's energy storage device and photovoltaic power to supply electricity to the building's electricity load; otherwise, determine the first electricity purchase information based on the total electricity load, the photovoltaic output, the converter conversion efficiency, and the first discharge power, and purchase electricity from the grid according to the first electricity purchase information.

[0061] In the above embodiments, such as Figure 2 As shown, the power supply method is determined based on the relationship between photovoltaic (PV) output (i.e., the electrical energy generated by the PV system) and the total electrical load (the electrical energy required by the building), as well as the characteristics of the energy storage device (such as maximum charging power, maximum discharging power, discharge efficiency, converter efficiency, etc.). First, if the target time period is the PV output period, and the PV output is large enough to at least equal the total electrical load, the system will first use PV power to supply the building's electrical load. Next, the system will consider the maximum charging power of the energy storage device, the current PV output, and the total electrical load to determine a suitable charging power (here called the first charging power). Then, the remaining PV power is used to charge the energy storage device at this first charging power. If there is still remaining PV power after the energy storage device has finished charging, this portion of the power will be fed into the power grid. On the other hand, if the target period is also a photovoltaic (PV) output period, but the PV output is less than the total electricity load, meaning the PV power is insufficient to meet the building's total electricity demand, the system will first determine a suitable discharge power (referred to as the first discharge power) based on the characteristics of the energy storage device (such as maximum discharge power, discharge efficiency, converter conversion efficiency, etc.), as well as the current PV output and total electricity load. Then, the system will determine whether this first discharge power and the current PV output are sufficient to meet the total electricity load demand. If sufficient, the building's electricity load will be supplied by both the energy storage device and PV power. If insufficient, the system will determine how much electricity needs to be purchased from the grid (referred to as the first electricity purchase information) based on the total electricity load, PV output, converter conversion efficiency, and the first discharge power, and will purchase electricity from the grid according to this first electricity purchase information to meet the building's electricity demand. By rationally utilizing PV power and energy storage devices, the system achieves power supply to the building during PV output periods and purchases electricity from the grid when necessary to compensate for power shortages.

[0062] In specific application scenarios, when p pv,i ≥p L,iAt that time, after meeting the total household load, the photovoltaic system charges the battery, and the remaining electricity is then fed into the grid. Building-to-Battery Charging Power

[0063] p essc,i (t)=min{p esscmax,i ,(p pv,i (t)-p L,i (t))η essc}

[0064] Where: p pv,i (t) represents the photovoltaic output of building i during time period t, p L,i (t) represents the total electrical load p of building i during time period t. esscmax,i Maximum charging power of building-integrated batteries (energy storage devices); η essc To improve battery charging efficiency.

[0065] When the battery is fully charged, the remaining photovoltaic energy is fed into the grid. At this time, the battery is not working, and the state of charge of the building's i-battery is:

[0066] λ SOC-ess,i (t)=λ SOC-ess,i (t-1)(1-γ)

[0067] Wherein: γ is the natural discharge rate of the battery when it is not working, which is 0.01 / day.

[0068] When p pv,i <p L,i When the battery is discharging, it will purchase electricity from the grid when the battery output is insufficient.

[0069] Building i-battery discharge power

[0070]

[0071] Where: p essdmax,i The maximum discharge power of the building's i-battery; η essd For battery discharge efficiency; η DC-DC The converter efficiency.

[0072] Building i purchases electricity from the power grid

[0073]

[0074] In this embodiment of the application, specifically, for periods without photovoltaic power output, step 102 includes:

[0075] Step 102-3: If the target time period is a non-photovoltaic output period and the electricity consumption period type is not an off-peak period, then the second discharge power of the energy storage device is determined based on the maximum discharge power of the energy storage device, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; it is determined whether the second discharge power meets the demand of the total electricity load. If it does, the energy storage device of the building is used to supply power to the electricity load of the building. Otherwise, the second electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the second discharge power, and electricity is purchased from the grid according to the second electricity purchase information.

[0076] Step 102-4: If the target time period is a non-photovoltaic output period and the electricity consumption period type is an off-peak period, then the third electricity purchase information is determined based on the total electricity load, the converter conversion efficiency and the maximum charging power of the energy storage device, and electricity is purchased from the grid according to the third electricity purchase information. The electricity purchased from the grid is used to supply power to the building's electrical equipment and to charge the building's energy storage device.

[0077] In this embodiment, when the target time period is a non-photovoltaic output period and the electricity consumption period is not a low-price period (i.e., not when electricity prices are lowest), the system first checks the status of the energy storage device. It considers the maximum discharge power, discharge efficiency, and converter conversion efficiency of the energy storage device to determine a suitable discharge power, referred to here as the second discharge power. Then, the system determines whether this second discharge power can meet the building's current total electricity load demand. If the second discharge power is sufficient to meet the total electricity load, the system uses the energy storage device to supply power to the building's load. If the second discharge power is insufficient to meet the total electricity load, the system determines, based on the total electricity load, converter conversion efficiency, and second discharge power, how much more electricity needs to be purchased from the grid (referred to here as the second electricity purchase information). Subsequently, the system purchases electricity from the grid based on this second electricity purchase information to compensate for the insufficient discharge power of the energy storage device, ensuring that the building's electricity demand is met.

[0078] On the other hand, if the target time period is still a non-PV output period, but the electricity consumption period type changes to off-peak hours (i.e., when electricity prices are lowest), the system will prioritize purchasing electricity from the grid. In this case, it will determine a suitable electricity purchase information based on the total electricity load, converter efficiency, and the maximum charging power of the energy storage device; this is referred to as the third electricity purchase information. The main purposes of this electricity purchase are twofold: first, to supply power to the building's electrical equipment; and second, to charge the energy storage device, taking advantage of the low electricity price period to reduce overall electricity costs. In summary, under different electricity consumption periods and non-PV output periods, the system formulates energy supply strategies based on the characteristics of the energy storage device and the total electricity load, including whether to use the energy storage device for discharge, whether to purchase electricity from the grid, and the determination of the amount to be purchased. This strategy aims to ensure that the building's electricity demand is met while minimizing electricity costs.

[0079] In specific application scenarios, during normal and peak periods when there is no photovoltaic output, the battery discharges the power. When the battery output is insufficient, the power is purchased from the grid.

[0080] Building i-battery discharge power

[0081]

[0082] Building i purchases electricity from the power grid

[0083] During off-peak hours when there is no solar power output: households purchase electricity from the grid during this period, and batteries are charged during off-peak hours.

[0084] Building i-Grid Electricity Purchased

[0085] Optionally, in this embodiment of the application, the method further includes: calculating the average electricity load during off-peak hours and the electricity load during each off-peak hour based on the historical electricity consumption information of each building; dividing the off-peak hours with electricity load less than the average electricity load during the off-peak hours into the first off-peak hours, and dividing the remaining off-peak hours into the second off-peak hours. Step 102-4 includes: if the target time period is a non-photovoltaic output period and the target time period belongs to the first valley period, then determine the second charging power of the energy storage device based on the state of charge of the energy storage device at the beginning of the valley period, the state of charge of the energy storage device at the end of the preset valley period, the capacity of the energy storage device, the number of first valley periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; determine the fourth electricity purchase information based on the total electricity load, the conversion efficiency of the converter, and the second charging power, and purchase electricity from the grid according to the fourth electricity purchase information, using the electricity purchased from the grid to power the electrical equipment in the building and to charge the energy storage device in the building; if the target time period is a non-photovoltaic output period and the target time period belongs to the second valley period. The third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the off-peak period, the state of charge of the energy storage device at the end of the first off-peak period, the capacity of the energy storage device, the number of second off-peak periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter. The fifth electricity purchase information is determined based on the total electricity load, the conversion efficiency of the converter, and the third charging power. Electricity is purchased from the grid according to the fifth electricity purchase information, and the electricity purchased from the grid is used to supply power to the electrical equipment in the building and to charge the energy storage device in the building. The state of charge of the energy storage device at the end of the first off-peak period is determined based on the state of charge of the energy storage device at the beginning of the off-peak period, the number of first off-peak periods, the second charging power, the charging efficiency of the energy storage device, and the capacity of the energy storage device.

[0086] In this embodiment, firstly, the system calculates the average electricity load of each building during off-peak hours and the specific electricity load for each off-peak hour based on the historical electricity consumption information of each building. Then, the system classifies off-peak hours with electricity loads lower than the average as the first off-peak hours, and the remaining off-peak hours as the second off-peak hours. This classification helps the system manage energy use in different off-peak hours more accurately. Next, the system determines the electricity purchase strategy based on the characteristics of the target time period and the status of the energy storage device. Specifically, if the target time period is a non-photovoltaic output period and belongs to the first off-peak hour, the system first determines the second charging power of the energy storage device based on a series of parameters (such as the state of charge of the energy storage device at the beginning of the off-peak hour, the state of charge of the energy storage device at the preset end of the off-peak hour, the capacity of the energy storage device, the number of first off-peak hours, the maximum charging power of the energy storage device, and the converter conversion efficiency). Subsequently, the system determines the amount of electricity to be purchased from the grid (i.e., the fourth electricity purchase information) based on the total electricity load, the converter conversion efficiency, and the second charging power, and then purchases electricity from the grid according to this information. The purchased electricity will be used to meet the building's electrical equipment needs and to charge energy storage devices.

[0087] If the target time period is a non-PV output period and falls within the second off-peak period, the system will determine the third charging power of the energy storage device based on another set of parameters (such as the state of charge of the energy storage device at the beginning of the off-peak period, the state of charge of the energy storage device at the end of the first off-peak period, the capacity of the energy storage device, the number of second off-peak periods, the maximum charging power of the energy storage device, and the converter efficiency). Similarly, the system will determine the fifth electricity purchase information based on the total electricity load, the converter efficiency, and the third charging power, and purchase electricity from the grid accordingly. The purchased electricity will also be used to meet the building's electricity demand and charge the energy storage device.

[0088] In both processes, the system also considers the charging efficiency and capacity of the energy storage devices to ensure that they can be charged at the appropriate time and provide sufficient power when needed. Simultaneously, by segmenting off-peak hours and implementing a power purchase strategy based on the status of the energy storage devices, the system can more effectively utilize low-cost electricity and reduce overall electricity costs.

[0089] Optionally, in this embodiment, determining the second charging power of the energy storage device based on the state of charge of the energy storage device at the beginning of the off-peak period, the state of charge of the energy storage device at the end of the preset off-peak period, the capacity of the energy storage device, the number of first off-peak periods, and the maximum charging power of the energy storage device includes: if the state of charge of the energy storage device during the target period is less than the state of charge of the energy storage device at the end of the preset off-peak period, determining the second charging power of the energy storage device based on the state of charge of the energy storage device at the beginning of the off-peak period, the state of charge of the energy storage device at the end of the preset off-peak period, the capacity of the energy storage device, the number of first off-peak periods, and the maximum charging power of the energy storage device; otherwise, not charging the energy storage device. The third charging power of the energy storage device is determined based on the state of charge (SBC) of the energy storage device at the start of the off-peak period, the SBC of the energy storage device at the end of the first off-peak period, the capacity of the energy storage device, the number of second off-peak periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter. This includes: if the SBC of the energy storage device is less than the SBC of the energy storage device at the end of the preset off-peak period during the target period, the third charging power of the energy storage device is determined based on the SBC of the energy storage device at the start of the off-peak period, the SBC of the energy storage device at the end of the first off-peak period, the capacity of the energy storage device, the number of second off-peak periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; otherwise, the energy storage device is not charged.

[0090] In this embodiment, for the first off-peak period, the system determines the second charging power of the energy storage device based on the following conditions: if the state of charge (SOC) of the energy storage device is less than the SOC at the end of the preset off-peak period during the target period (i.e., the currently considered off-peak period), then the system begins calculating the charging power. This calculation comprehensively considers the SOC at the start of the off-peak period, the SOC at the end of the preset off-peak period, the total capacity of the energy storage device, the number of the first off-peak periods (i.e., how many such periods there are), and the maximum charging power of the energy storage device. If the SOC of the energy storage device has reached or exceeded the SOC at the end of the preset off-peak period, then the system will not charge the energy storage device to avoid overcharging or wasting energy. For the second off-peak period, the system determines the third charging power of the energy storage device based on the following conditions: similarly, if the SOC of the energy storage device is less than the SOC at the end of the preset off-peak period during the target period, the system begins calculating the charging power. This calculation additionally considers the converter's conversion efficiency to ensure more precise control of the charging process. If the state of charge (SBC) of the energy storage device has reached or exceeded a preset target, the system will not charge it. This strategy aims to ensure that the energy storage device can be effectively charged during off-peak hours, while avoiding overcharging and waste. By adjusting the charging power based on the real-time SBC of the energy storage device and the preset target, the system can manage energy more flexibly, improve energy efficiency, and reduce energy costs.

[0091] In specific application scenarios, operators use historical household electricity load data (p) during off-peak hours in buildings to determine the appropriate electricity consumption. L,i (t) is used for statistical analysis to obtain the average household electricity consumption p during off-peak hours. μ Statistical p L,i (t) <p μ The number of time periods is denoted as the first off-peak period N1, and the remaining time periods are denoted as N-N1 (the second off-peak period). The load demand is low during period N1 and high during period N-N1. The operator analyzes the charging demand uploaded by the battery. If the battery receives insufficient charging during period N1, it will be charged during the remaining time periods N-N1 of the off-peak period.

[0092] During the N1 time period, electricity is purchased from the grid to meet the total household load p. L,i (t) also charges the battery.

[0093] Building i-Battery Charging Power

[0094]

[0095] Where: λ SOC-esso,i The state of charge of the building's i-battery at the end of the set valley period;

[0096] λ SOC-essv,i λ represents the state of charge of the building's battery at the start of the valley period. SOC-ess1,i (t) represents the state of charge of building i's battery during time period N1.

[0097] The charging power of the building's i-battery during the N-N1 time period is as follows:

[0098]

[0099]

[0100] Where: λ SOC-essN1,i The state of charge of the building's i-battery after the N1 period ends; λ SOC-ess2,i (t) represents the state of charge of building i's battery during the N-N1 time period.

[0101] Battery constraints are

[0102] 0≤p essc,i (t)≤z essc (t)p esscmax

[0103] 0≤p essd,i (t)≤z essd (t)p essdmax

[0104] z essc (t)+z essd (t)≤1

[0105] λ SOC-essmin ≤λ SOC-ess (t)≤λ SOC-essmax

[0106] Where: z essc (t) and z essd (t) represents the 0-1 variables representing the charging and discharging states of the energy storage device ESS during time period t. This indicates that the ESS will not be in both charging and discharging states simultaneously; λ SOC-essmin and λ SOC-essmax These represent the minimum and maximum states of charge (SOC) of the battery, respectively.

[0107] By applying the technical solution of this embodiment, a segmented management of photovoltaic-battery energy is proposed, which can maximize the absorption of photovoltaic output and save on battery charging costs. Through optimized scheduling and management of clean energy, the battery energy can be primarily used during peak electricity consumption periods, making energy use more flexible and maximizing economic benefits. Optimizing day-ahead energy scheduling in residential areas can reduce the peak-to-valley difference in electricity load, mitigate the impact of end-user loads on the power grid, and simultaneously reduce users' electricity expenses.

[0108] Furthermore, as Figure 1 In a specific implementation of the method, this application provides a residential area energy dispatching device based on energy segmentation management, the device comprising:

[0109] Obtain the electricity consumption time type, photovoltaic power output information, and electricity consumption information of each building in the target time period of the residential area being dispatched;

[0110] For any building, based on the electricity consumption period type, the photovoltaic power output information, and the electricity consumption information, an energy dispatch strategy for the target period of the building is determined, and electricity consumption dispatch is carried out for each building for energy storage devices and power purchase from the grid. The energy dispatch strategy includes a charging and discharging strategy for energy storage devices and a power purchase strategy from the grid.

[0111] Optionally, the photovoltaic output information is used to indicate whether the target time period is a photovoltaic output period or a non-photovoltaic output period, and is also used to indicate the photovoltaic output of the target time period that belongs to the photovoltaic output period; the electricity consumption information includes the total electricity load of the target time period;

[0112] The device is also used for:

[0113] If the target time period is a photovoltaic output period and the photovoltaic output is greater than or equal to the total electricity load, then photovoltaic power is used to supply power to the building's electricity load. The first charging power of the energy storage device is determined based on the maximum charging power of the energy storage device, the photovoltaic output, and the total electricity load. The remaining photovoltaic power is used to charge the building's energy storage device at the first charging power. When the energy storage device completes charging, the remaining photovoltaic power is input into the power grid.

[0114] If the target time period is the photovoltaic output period and the photovoltaic output is less than the total electricity load, then the first discharge power of the energy storage device is determined based on the maximum discharge power of the energy storage device, the photovoltaic output, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; it is then determined whether the first discharge power and the photovoltaic output meet the demand of the total electricity load. If they do, the energy storage device and photovoltaic power of the building are used to supply power to the building's electricity load; otherwise, the first electricity purchase information is determined based on the total electricity load, the photovoltaic output, the converter conversion efficiency, and the first discharge power, and electricity is purchased from the grid according to the first electricity purchase information.

[0115] Optionally, the device is further used for:

[0116] If the target time period is a non-photovoltaic output period and the electricity consumption period type is not an off-peak period, then the second discharge power of the energy storage device is determined based on the maximum discharge power of the energy storage device, the total electricity load, the discharge efficiency of the energy storage device, and the converter conversion efficiency of the energy storage device; it is then determined whether the second discharge power meets the demand of the total electricity load. If it does, the energy storage device of the building is used to supply power to the building's electricity load; otherwise, the second electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the second discharge power, and electricity is purchased from the grid according to the second electricity purchase information.

[0117] If the target time period is a non-photovoltaic output period and the electricity consumption period type is an off-peak period, then the third electricity purchase information is determined based on the total electricity load, the converter conversion efficiency, and the maximum charging power of the energy storage device. Electricity is purchased from the grid according to the third electricity purchase information, and the electricity purchased from the grid is used to power the building's electrical equipment and charge the building's energy storage device.

[0118] Optionally, the device is further used for:

[0119] Based on the historical electricity consumption information of each building, the average electricity load during off-peak hours and the electricity load during each off-peak hour are calculated.

[0120] The valley time period in which the electricity load is less than the average electricity load during the valley time period is divided into the first valley time period, and the remaining valley time period is divided into the second valley time period.

[0121] Optionally, the device is further used for:

[0122] If the target time period is a non-photovoltaic output period and the target time period belongs to the first valley period, then the second charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley period, the state of charge of the energy storage device at the end of the preset valley period, the capacity of the energy storage device, the number of first valley periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; the fourth electricity purchase information is determined based on the total electricity load, the conversion efficiency of the converter, and the second charging power, and electricity is purchased from the grid according to the fourth electricity purchase information, and the electricity purchased from the grid is used to power the electrical equipment in the building and to charge the energy storage device in the building;

[0123] If the target time period is a non-photovoltaic output period and the target time period belongs to the second valley period, then the third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley period, the state of charge of the energy storage device at the end of the first valley period, the capacity of the energy storage device, the number of second valley periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; the fifth electricity purchase information is determined based on the total electricity load, the conversion efficiency of the converter, and the third charging power, and electricity is purchased from the grid according to the fifth electricity purchase information, and the electricity purchased from the grid is used to supply power to the electrical equipment in the building and to charge the energy storage device in the building; wherein, the state of charge of the energy storage device at the end of the first valley period is determined based on the state of charge of the energy storage device at the beginning of the valley period, the number of first valley periods, the second charging power, the charging efficiency of the energy storage device, and the capacity of the energy storage device.

[0124] Optionally, the device is further used for:

[0125] If the state of charge of the energy storage device during the target time period is less than the state of charge of the energy storage device at the end of the preset valley time period, the second charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the preset valley time period, the capacity of the energy storage device, the number of first valley time periods, and the maximum charging power of the energy storage device; otherwise, the energy storage device is not charged.

[0126] Optionally, the device is further used for:

[0127] If the state of charge of the energy storage device during the target time period is less than the state of charge of the energy storage device at the end of the preset valley time period, the third charging power of the energy storage device is determined based on the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the first valley time period, the capacity of the energy storage device, the number of second valley time periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; otherwise, the energy storage device is not charged.

[0128] It should be noted that other corresponding descriptions of the functional units involved in the residential area energy dispatching device based on energy segmentation management provided in this application embodiment can be found in the following references. Figures 1 to 3 The corresponding descriptions in the method will not be repeated here.

[0129] This application also provides a computer device, specifically a personal computer, server, network device, etc. The computer device includes a bus, processor, memory, and communication interface, and may also include input / output interfaces and a display device. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device stores location information. The network interface of the computer device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the various method embodiments.

[0130] Those skilled in the art will understand that the structure of the computer device described above is only a partial structure related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. A specific computer device may include more or fewer components, or combine certain components, or have different component arrangements.

[0131] In one embodiment, a computer-readable storage medium is provided, which may be non-volatile or volatile, having stored thereon a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0132] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0133] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0134] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0135] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A residential area energy scheduling method based on energy section management, characterized in that, The method comprises: acquiring the electricity consumption period type, photovoltaic output information and electricity consumption information of each building of a target period of a scheduled residential area; for any building, determining an energy scheduling strategy of the building for the target period according to the electricity consumption period type, the photovoltaic output information and the electricity consumption information, and performing electricity consumption scheduling of the building by energy storage equipment and grid electricity purchase, wherein the energy scheduling strategy comprises a charging and discharging strategy of the energy storage equipment and a grid electricity purchase strategy; The method further comprises: statistically determining a valley time period electricity load average value of each building and an electricity load of each valley time period according to historical electricity consumption information of each building; and dividing a valley time period with an electricity load less than the valley time period electricity load average value into a first valley time period and the remaining valley time periods into a second valley time period; if the target period is a non-photovoltaic output period and belongs to the first valley time period, determining a second charging power of the energy storage equipment according to an energy storage equipment state of charge at the beginning of the valley time period, a preset energy storage equipment state of charge at the end of the valley time period, an energy storage equipment capacity, a first valley time period quantity, a maximum charging power of the energy storage equipment and a converter conversion efficiency; determining fourth grid electricity purchase information according to a total electricity load, the converter conversion efficiency and the second charging power, and purchasing electricity from the grid according to the fourth grid electricity purchase information, and using the electricity purchased from the grid to supply power to the electricity consumption equipment of the building and charge the energy storage equipment of the building; if the target period is a non-photovoltaic output period and belongs to the second valley time period, determining a third charging power of the energy storage equipment according to an energy storage equipment state of charge at the beginning of the valley time period, an energy storage equipment state of charge at the end of the first valley time period, an energy storage equipment capacity, a second valley time period quantity, a maximum charging power of the energy storage equipment and a converter conversion efficiency; determining fifth grid electricity purchase information according to the total electricity load, the converter conversion efficiency and the third charging power, and purchasing electricity from the grid according to the fifth grid electricity purchase information, and using the electricity purchased from the grid to supply power to the electricity consumption equipment of the building and charge the energy storage equipment of the building, wherein the energy storage equipment state of charge at the end of the first valley time period is determined according to the energy storage equipment state of charge at the beginning of the valley time period, the first valley time period quantity, the second charging power, an energy storage equipment charging efficiency and the energy storage equipment capacity.

2. The method of claim 1, wherein, The photovoltaic output information is used to indicate whether the target period is a photovoltaic output period or a non-photovoltaic output period, and is also used to indicate photovoltaic output of the target period belonging to the photovoltaic output period; the electricity consumption information comprises a total electricity load of the target period; for any building, determining an energy scheduling strategy of the building for the target period according to the electricity consumption period type, the photovoltaic output information and the electricity consumption information, comprises: If the target period is a photovoltaic output period and the photovoltaic output is greater than or equal to the total power consumption load, the photovoltaic power is used to supply power to the power consumption load of the building, and a first charging power of the energy storage device is determined according to the maximum charging power of the energy storage device, the photovoltaic output and the total power consumption load, the remaining photovoltaic power is used to charge the energy storage device of the building at the first charging power; when the energy storage device is fully charged, the remaining photovoltaic power is input to the power grid; If the target period is a photovoltaic output period and the photovoltaic output is less than the total power consumption load, a first discharging power of the energy storage device is determined according to the maximum discharging power of the energy storage device, the photovoltaic output, the total power consumption load, the discharging efficiency of the energy storage device and the converter conversion efficiency of the energy storage device; it is judged whether the first discharging power and the photovoltaic output meet the demand of the total power consumption load, if yes, the energy storage device and the photovoltaic power of the building are used to supply power to the power consumption load of the building, otherwise, first power purchase information is determined according to the total power consumption load, the photovoltaic output, the converter conversion efficiency and the first discharging power, and power is purchased from the power grid according to the first power purchase information.

3. The method of claim 2, wherein, For any building, according to the power consumption period type, the photovoltaic output information and the power consumption information, the energy scheduling strategy of the target period of the building is determined, which further comprises: If the target period is a non-photovoltaic output period and the power consumption period type is not a power consumption valley time, a second discharging power of the energy storage device is determined according to the maximum discharging power of the energy storage device, the total power consumption load, the discharging efficiency of the energy storage device and the converter conversion efficiency of the energy storage device; it is judged whether the second discharging power meets the demand of the total power consumption load, if yes, the energy storage device of the building is used to supply power to the power consumption load of the building, otherwise, second power purchase information is determined according to the total power consumption load, the converter conversion efficiency and the second discharging power, and power is purchased from the power grid according to the second power purchase information. If the target period is a non-photovoltaic output period and the power consumption period type is a power consumption valley time, third power purchase information is determined according to the total power consumption load, the converter conversion efficiency and the maximum charging power of the energy storage device, and power is purchased from the power grid according to the third power purchase information, and the power purchased from the power grid is used to supply power to the power consumption equipment of the building and charge the energy storage device of the building.

4. The method of claim 3, wherein, The second charging power of the energy storage device is determined according to the state of charge of the energy storage device at the beginning of the valley time period, the preset state of charge of the energy storage device at the end of the valley time period, the capacity of the energy storage device, the number of first valley time periods and the maximum charging power of the energy storage device, which comprises: In a case where the state of charge of the energy storage device at the target time period is less than the preset state of charge of the energy storage device at the end of the valley time period, a second charging power of the energy storage device is determined according to the state of charge of the energy storage device at the beginning of the valley time period, the preset state of charge of the energy storage device at the end of the valley time period, the capacity of the energy storage device, the number of the first valley time periods, and the maximum charging power of the energy storage device; otherwise, the energy storage device is not charged.

5. The method of claim 4, wherein, The third charging power of the energy storage device is determined according to the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the first valley time period, the capacity of the energy storage device, the number of the second valley time periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter, including: In a case where the state of charge of the energy storage device at the target time period is less than the preset state of charge of the energy storage device at the end of the valley time period, a third charging power of the energy storage device is determined according to the state of charge of the energy storage device at the beginning of the valley time period, the state of charge of the energy storage device at the end of the first valley time period, the capacity of the energy storage device, the number of the second valley time periods, the maximum charging power of the energy storage device, and the conversion efficiency of the converter; otherwise, the energy storage device is not charged.

6. A residential area energy scheduling device based on energy segment management, characterized in that, The device is used for: acquiring a power consumption time period type, photovoltaic output information, and power consumption information of each building of a target time period of a scheduled residential area; for any building, determining an energy scheduling strategy of the building at the target time period according to the power consumption time period type, the photovoltaic output information, and the power consumption information, and performing power consumption scheduling of the building by using an energy storage device and grid power purchase, wherein the energy scheduling strategy includes a charging and discharging strategy of the energy storage device and a power purchase strategy of the grid; The device is further used for: statistically determining a valley time period power consumption load average value of each building and a power consumption load of each valley time period according to historical power consumption information of each building, and dividing a valley time period with a power consumption load less than the valley time period power consumption load average value into a first valley time period and the remaining valley time periods into a second valley time period; if the target time period is a non-photovoltaic output time period and the target time period belongs to the first valley time period, a second charging power of the energy storage device is determined according to the state of charge of the energy storage device at the beginning of the valley time period, the preset state of charge of the energy storage device at the end of the valley time period, the capacity of the energy storage device, the number of the first valley time periods, and the maximum charging power of the energy storage device and the conversion efficiency of the converter; fourth power purchase information is determined according to a total power consumption load, the conversion efficiency of the converter, and the second charging power, and power is purchased from the grid according to the fourth power purchase information, and the power purchased from the grid is used to supply power to power consumption equipment of the building and charge the energy storage device of the building. If the target time period is a non-photovoltaic output time period and the target time period belongs to the second valley time period, a third charging power of the energy storage device is determined according to the energy storage device state of charge at the beginning of the valley time period, the energy storage device state of charge at the end of the first valley time period, the energy storage device capacity, the number of the second valley time periods, the maximum charging power of the energy storage device, and the converter conversion efficiency; fifth power purchase information is determined according to the total power load, the converter conversion efficiency, and the third charging power, and power is purchased from the power grid according to the fifth power purchase information, and the power purchased from the power grid is used to supply power to the power consumption equipment of the building and charge the energy storage device of the building, wherein the energy storage device state of charge at the end of the first valley time period is determined according to the energy storage device state of charge at the beginning of the valley time period, the number of the first valley time periods, the second charging power, the energy storage device charging efficiency, and the energy storage device capacity.

7. A storage medium having stored thereon a computer program, characterized in that The computer program, when executed by a processor, implements the method of any one of claims 1 to 5.

8. A computer device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, The processor, when executing the computer program, implements the method of any one of claims 1 to 5.

Citation Information

Patent Citations

  • Construction site intelligent power utilization dispatching system and method based on photovoltaic energy storage

    CN116154770A