An energy coordination management method and device for a distributed optical storage integrated grid-connected system

Abstract

The present application relates to the technical field of electric energy management, and proposes an energy collaborative management method of a distributed photovoltaic storage integrated grid-connected system, comprising: identifying daytime reducible load and daytime irreducible load of a load end, extracting surplus power generation power in photovoltaic power generation power in accordance with the daytime reducible load and the daytime irreducible load and the surplus power space; calculating storage loss when energy storage operation is performed on the daytime reducible load, analyzing release benefit when energy release operation is performed on night load of the load end by the energy storage battery; when the storage loss is less than the release benefit, storing the surplus power generation power in the energy storage battery, so as to call the energy storage battery to release energy for the night load in the night; when the storage loss is not less than the release benefit, not performing energy storage operation on the daytime reducible load. The present application can improve the ability of the energy storage battery to supply electric energy to the non-interruptible load of the load end.

Description

Technical Field

[0001] This invention belongs to the field of power management technology, specifically relating to a method and device for energy collaborative management of a distributed photovoltaic-storage integrated grid-connected system. Background Technology

[0002] Distributed photovoltaic-storage integrated grid-connected systems typically include photovoltaic power generation units, energy storage units, and various load-side electrical loads. In existing technologies, photovoltaic power generation is prioritized to supply the load-side, and any excess photovoltaic power is used to charge the energy storage battery. When photovoltaic power generation is insufficient to supply the load-side, the energy storage battery discharges to supply the load-side, thereby meeting the load-side's electricity demand.

[0003] Currently, loads at the load end are divided into interruptible loads and uninterruptible loads. Uninterruptible loads are those whose interruption would have serious consequences, while interruptible loads are those whose interruption would have little impact. In reality, a situation may arise where, during the day, photovoltaic power generation is insufficient to supply the load end, and energy storage batteries discharge to supply the load end. In this case, the energy storage batteries may have consumed a large amount of power before the peak electricity consumption at night, resulting in insufficient energy storage batteries to support the power demand of the load end at night. Although power supply to interruptible loads can be suspended to prioritize uninterruptible loads, if the energy storage batteries are severely insufficient, it may still be impossible to meet the power supply demand of uninterruptible loads.

[0004] Therefore, existing technologies suffer from the problem that the electrical energy of energy storage batteries is insufficient to supply uninterrupted loads at the load end. Summary of the Invention

[0005] This invention provides a method and apparatus for energy collaborative management of a distributed photovoltaic-storage integrated grid-connected system, the main purpose of which is to improve the ability of energy storage batteries to supply uninterrupted loads at the load end.

[0006] To achieve the above objectives, the present invention provides an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system, comprising: Query the photovoltaic power generation of photovoltaic cells and the remaining power capacity of energy storage cells in a distributed photovoltaic-storage system; Identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced. Calculate the storage loss when performing energy storage operation on the daytime load that can be reduced, and analyze the release benefit when the energy storage battery performs energy release operation on the nighttime load at the load end; When the storage loss is less than the release gain, the surplus power generation is stored in the energy storage battery so that the energy storage battery can be used at night to release energy for the nighttime load. When the storage loss is not less than the release gain, no energy storage operation is performed on the daytime load reduction.

[0007] Optionally, the energy storage battery is analyzed to determine its energy release benefits when performing energy release operations for nighttime loads at the load end, including: Obtain the power component corresponding to the daytime load reduction capacity in the surplus power generation capacity; Calculate the release benefit of the power component belonging to the nighttime load.

[0008] Optionally, calculating the release benefit of the power component in the nighttime load includes: Select nighttime load combinations that meet the power demand components; Calculate the released electrical energy between the power and the duration of each type of load in the nighttime load combination; The revenue of a single load type is obtained by calculating the product of the released electrical energy and the unit release revenue for each type of load in the nighttime load combination. The individual load revenues of each type of load in the nighttime load combination are summed up, and the release revenue with the largest summation value is selected.

[0009] Optionally, the individual load revenues of each load type in the nighttime load mix can be summed, including: Select the candidate load combination with the largest number of loads that cannot be reduced at night from the night load combinations; The individual load benefits of each type of load in the candidate load combination are summed.

[0010] Optionally, identify whether the load can be reduced during the day or not, including: The power load at the load end is classified into primary loads, secondary loads, and tertiary loads. The primary load and the secondary load are considered as non-reducible loads during the day. The aforementioned level 3 load is considered as a daytime load that can be reduced.

[0011] Optionally, based on the daytime load reduction possibility and the daytime non-load reduction possibility, the surplus power generation capacity that conforms to the remaining power space in the photovoltaic power generation capacity is extracted, including: Subtracting the power corresponding to the non-reducible load during the day from the photovoltaic power generation power yields the first remaining power. Determine whether the first remaining power is not greater than the remaining power space; When the first remaining power is not greater than the remaining power space, the first remaining power is regarded as surplus power generation. When the first surplus power is greater than the surplus power space, power will be allocated from the first surplus power to the second surplus power after the daytime load reduction as surplus power generation.

[0012] Optionally, the storage loss during energy storage operations on the daytime reducible load is calculated, including: Identify the power component corresponding to the daytime load reduction capacity in the surplus power generation capacity; Calculate the storage loss of the power component.

[0013] Optionally, calculating the storage loss of the power component includes: Calculate the power shortage between the power shortage of each type of load belonging to the power component in the daytime load reduction capacity and the corresponding duration; Calculate the product between the power shortage and the unit power outage loss to obtain the single-type load loss; The storage loss is selected by summing up the single-type load losses between different daytime load reductions.

[0014] Optionally, activating the energy storage battery at night to release energy for the nighttime load includes: At night, the energy storage battery is first used to release energy for the non-reducible load during the night, and then the energy storage battery is used to release energy for the reduceable load during the night.

[0015] To achieve the above objectives, the present invention provides an energy collaborative management device for a distributed photovoltaic-storage integrated grid-connected system, comprising: The power query module is used to query the photovoltaic power generation of photovoltaic cells and the remaining power space of energy storage cells in a distributed photovoltaic-storage system. The power extraction module is used to identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced. The revenue analysis module is used to calculate the storage loss when performing energy storage operations on the daytime load that can be reduced, and to analyze the release revenue when the energy storage battery performs energy release operations on the nighttime load. An energy release module is used to store the surplus power generation in the energy storage battery when the storage loss is less than the release gain, so as to call the energy storage battery to release energy for the nighttime load at night; An energy storage module is used to prevent energy storage operations on the daytime load reduction when the storage loss is not less than the release benefit.

[0016] Compared to the problems described in the background art, this invention identifies daytime loads that can be reduced or not reduced during the daytime to distinguish between interruptible and uninterruptible loads, thus preparing for subsequent suspension of power supply to interruptible loads. Furthermore, this invention extracts surplus power from the photovoltaic power generation that fits the remaining power space to suspend power supply to all or part of the daytime loads that can be reduced, redirecting the power originally intended for the daytime loads to the energy storage battery. Further, this invention calculates the storage losses during energy storage operations on the daytime loads to determine the economic losses incurred when power supply to daytime loads is suspended and the power is redirected to the energy storage battery. Finally, this invention analyzes the energy release benefits when the energy storage battery releases energy to nighttime loads to analyze the benefits of primarily supplying power to non-interruptible nighttime loads. Therefore, this invention can improve the ability of energy storage batteries to supply power to uninterruptible loads. Attached Figure Description

[0017] Figure 1 A flowchart illustrating an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system according to an embodiment of the present invention; Figure 2 A schematic diagram of a distributed photovoltaic-storage integrated grid-connected system for energy collaborative management, provided as an embodiment of the present invention; Figure 3 This is a load classification diagram of an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system provided in an embodiment of the present invention; Figure 4 A schematic diagram of the unit power outage loss of an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system provided in an embodiment of the present invention; Figure 5 A schematic diagram of daytime and nighttime electricity consumption for an energy collaborative management method of a distributed photovoltaic-storage integrated grid-connected system provided in an embodiment of the present invention; Figure 6 A functional block diagram of an energy collaborative management device for a distributed photovoltaic-storage integrated grid-connected system provided in an embodiment of the present invention; Figure 7 A schematic diagram of a computer device for an energy collaborative management method of a distributed photovoltaic-storage integrated grid-connected system according to an embodiment of the present invention; The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0018] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0019] This application provides an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0020] Reference Figure 1 The diagram shown is a flowchart illustrating an energy collaborative management method for a distributed photovoltaic-energy storage integrated grid-connected system according to an embodiment of the present invention. In this embodiment, the energy collaborative management method for the distributed photovoltaic-energy storage integrated grid-connected system includes: S1. Query the photovoltaic power generation of the photovoltaic cells and the remaining power space of the energy storage cells in the distributed photovoltaic-storage system.

[0021] In this embodiment of the invention, the distributed photovoltaic-storage system is also known as a distributed photovoltaic-storage integrated grid-connected system. As the name suggests, the distributed photovoltaic-storage system includes photovoltaic cells, energy storage batteries, a power grid, and a load end.

[0022] The photovoltaic power generation power refers to the instantaneous power generation power of the photovoltaic cell, and the remaining power space refers to the maximum power that the energy storage battery can receive from charging the photovoltaic cell.

[0023] See Figure 2 The diagram shown is a schematic representation of a distributed photovoltaic-storage integrated grid-connected system, illustrating an energy collaborative management method for such a system according to an embodiment of the present invention. Figure 2 In this system, photovoltaic cells supply power to both interruptible and uninterruptible loads at the load end. When photovoltaic cells are insufficient to supply power to the load end, energy storage batteries supply power to the load end. When energy storage batteries are insufficient to supply power to the load end, electrical energy is purchased from the grid and supplied directly to the load end. Alternatively, electrical energy purchased from the grid can be used to charge the energy storage batteries.

[0024] S2. Identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced.

[0025] This invention identifies daytime loads that can be reduced and those that cannot be reduced during the daytime to distinguish between interruptible and non-interruptible loads, thereby preparing for a subsequent suspension of power supply to interruptible loads.

[0026] The daytime load reduction corresponds to the aforementioned Figure 2Interruptible loads, the non-reducible loads during the day correspond to the aforementioned Figure 2 Uninterruptible loads refer to electrical equipment and the power consumed by that equipment.

[0027] In one embodiment of the present invention, identifying the daytime load that can be reduced and the daytime load that cannot be reduced at the load end includes: classifying the power load at the load end to identify primary load, secondary load and tertiary load from the power load; classifying the primary load and the secondary load as the daytime load that cannot be reduced; and classifying the tertiary load as the daytime load that can be reduced.

[0028] Optionally, the process of classifying the power load at the load end can be implemented according to GB50052-2009 "Code for Design of Power Supply and Distribution Systems". Chapter 3 of GB50052-2009 "Code for Design of Power Supply and Distribution Systems" provides a method for classifying power loads into first-level loads, second-level loads and third-level loads. In addition, other existing technologies also provide methods for classifying power loads, which will not be elaborated here.

[0029] See Figure 3 The diagram shown illustrates the load grading of an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system according to an embodiment of the present invention. Figure 3 The power load is divided into primary load, secondary load and tertiary load.

[0030] Furthermore, in this embodiment of the invention, surplus power that conforms to the remaining power space in the photovoltaic power generation is extracted to suspend all or part of the power supply that can be reduced during the day, and the power that should have been supplied to the power that can be reduced during the day is charged into the energy storage battery.

[0031] In one embodiment of the present invention, the step of extracting surplus power from the photovoltaic power generation that conforms to the surplus power space based on the daytime load reduction capability and the daytime load reduction non-reduction capability includes: subtracting the power corresponding to the daytime load reduction non-reduction capability from the photovoltaic power generation to obtain a first surplus power; determining whether the first surplus power is not greater than the surplus power space; when the first surplus power is not greater than the surplus power space, using the first surplus power as surplus power; when the first surplus power is greater than the surplus power space, allocating power from the first surplus power to the second surplus power after the daytime load reduction capability is determined as surplus power.

[0032] It should be noted that when the first remaining power is greater than the remaining power space, it means that a portion of the first remaining power is charged into the remaining power space, and the remaining portion is used to supply power to the daytime load that can be reduced. If there is still a portion remaining after supplying power to the daytime load that can be reduced, it will be wasted. For example: if the total photovoltaic power generation is 1000KW, the total daytime load that cannot be reduced is 600KW, and the first remaining power is 400KW, if the remaining power space is 400KW, then the first remaining power can be fully charged into the remaining power space. If the remaining power capacity is 300KW and the total load reduction required during the day is 100KW, then 300KW of the first remaining power capacity will be added to the remaining power capacity, and the remaining 100KW of the first remaining power capacity will be supplied to the load reduction during the day. If the remaining power capacity is 300KW and the total load reduction required during the day is 90KW, then 300KW of the first remaining power capacity will be added to the remaining power capacity, and 90KW of the remaining 100KW of the first remaining power capacity will be supplied to the load reduction during the day. 10KW of the remaining 100KW of the first remaining power capacity will be wasted.

[0033] Optionally, when the first surplus power is greater than the surplus power space, the process of allocating power from the first surplus power to the second surplus power after the daytime load reduction as surplus power generation is as follows: the first surplus power first satisfies the surplus power space, and the excess is then allocated to the daytime load reduction or wasted. It does not mean that after allocating power from the first surplus power to the daytime load reduction, it is then added to the surplus power space.

[0034] S3. Calculate the storage loss when performing energy storage operation on the daytime load that can be reduced, and analyze the release benefit when the energy storage battery performs energy release operation on the nighttime load at the load end.

[0035] This invention calculates the storage losses during energy storage operations on the daytime reducible load, thereby calculating the economic losses caused to the daytime reducible load when power supply is suspended and the power is instead charged into the energy storage battery.

[0036] In one embodiment of the present invention, the calculation of storage loss when performing energy storage operation on the daytime load shedding includes: identifying the power component corresponding to the daytime load shedding in the surplus power generation; and calculating the storage loss of the power component.

[0037] The power component refers to the surplus power that should have been supplied to the daytime load shedding capacity. An example is given below: If the total photovoltaic power generation is 1000 kW, the total daytime non-load shedding capacity is 600 kW, the total daytime load shedding capacity is 100 kW, and the first surplus power is 400 kW. If the surplus power space is 400 kW, then the first surplus power can be entirely charged into the surplus power space, and 100 kW of the 400 kW charged into the surplus power space is the power component. If the surplus power space is 300 kW, and the total daytime load shedding capacity is 100 kW, then the first surplus power can be entirely charged into the surplus power space, and 100 kW of the 400 kW charged into the surplus power space is the power component. 300KW of surplus power is charged into the surplus power space. The remaining 100KW of the first surplus power is supplied to the daytime load reduction. 0KW of the 300KW charged into the surplus power space is the power component mentioned above. If the surplus power space is 300KW and the total daytime load reduction requires 90KW, then the 300KW of the first surplus power is charged into the surplus power space. 90KW of the remaining 100KW of the first surplus power is supplied to the daytime load reduction. 10KW of the remaining 100KW of the first surplus power will be wasted. 0KW of the 300KW charged into the surplus power space is the power component mentioned above.

[0038] In another embodiment of the present invention, the calculation of the storage loss of the power component includes: calculating the power shortage of each type of load belonging to the power component in the daytime load reduction and the corresponding duration of the power shortage; calculating the product between the power shortage and the unit power outage loss to obtain the single-type load loss; and superimposing the single-type load losses between different daytime load reductions to select the storage loss with the smallest superimposed value.

[0039] The power shortage is the product of the power component and its corresponding duration, i.e., the product of instantaneous power and the duration of that instantaneous power, which is electrical energy. The unit power outage loss refers to the economic loss caused by the reduction of daytime load for each unit of power supply shortage, such as the load loss value in the prior art. The load loss value is the economic loss borne by the user when the power system cannot meet the load demand due to insufficient generation capacity or other reasons. It is similar to the meaning of the unit power outage loss in this scheme. In other words, the unit power outage loss in this scheme can be determined by existing conventional technology, which will not be elaborated here.

[0040] See Figure 4 The diagram shown illustrates the unit power outage loss of an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system according to an embodiment of the present invention. Figure 4 In this system, each column corresponds to a type of electrical load equipment, and the overall height of the column represents the percentage of loss caused when the power supply to that type of load is interrupted.

[0041] For example, the process of calculating the storage loss of the power component is as follows: Assuming all the power required for daytime load shedding is charged into the energy storage battery: There are three types of daytime load shedding equipment, A, B, and C, with one device for each type. 100KW of the surplus power generation represents the total power required for daytime load shedding, i.e., the power component. The power requirements for types A, B, and C are 25KW, 35KW, and 40KW respectively. Therefore, these 25KW, 35KW, and 40KW represent the power shortages within 100KW for each type of load. The corresponding duration is the instantaneous duration of power, which can be determined by statistically averaging the conventional instantaneous duration. It should be noted that when the total surplus power generation is only 80kW, this 80kW represents the total power required for daytime load reduction, i.e., the aforementioned power component. In this case, 80kW cannot simultaneously cover the demands of 25kW, 35kW, and 40kW; it can only cover the demands of 25kW and 35kW, or 25kW and 40kW, or 35kW and 40kW. Furthermore, different daytime load reduction... The process of summing single-type load losses to select the storage loss with the minimum summation value is as follows: When the demand for 25KW, 35KW, and 40KW can be met, the summation value is: Single-type load loss of type A * number of equipment 1 + Single-type load loss of type B * 1 + Single-type load loss of type C * 1. This is the minimum summation value (because there is only this one case). When the selectable cases are divided into covering the demand for 25KW and 35KW, or the demand for 25KW and 40KW, or the demand for 35KW and 40KW, the demand covering 25KW and 35KW is calculated. The storage loss is determined by the following criteria: a first superposition value, a second superposition value covering the demand of 25KW and 40KW, and a third superposition value covering the demand of 35KW and 40KW. The minimum superposition value among these three values ​​is selected as the storage loss. The rationale for this is that if the third superposition value is the smallest, it means that the loss is minimal when 80KW covers the demand of 35KW and 40KW. In other words, the economic loss only affects Class B equipment corresponding to 35KW and Class C equipment corresponding to 40KW. Furthermore, the aforementioned coverage refers to being included in the scope of economic loss.

[0042] Furthermore, this embodiment of the invention analyzes the energy release benefits when the energy storage battery performs energy release operations for the nighttime load at the load end, in order to analyze the benefits when mainly supplying power to the nighttime load that cannot be reduced.

[0043] See Figure 5 The diagram shown illustrates daytime and nighttime electricity consumption in an energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system according to an embodiment of the present invention. Figure 5 In the graph, the horizontal axis represents the time from day to night, and the vertical axis represents the electricity consumption, with the peak time corresponding to the nighttime electricity consumption.

[0044] In one embodiment of the present invention, the analysis of the energy release benefit when the energy storage battery performs energy release operation for the nighttime load includes: obtaining the power component corresponding to the surplus power generation of the daytime load that can be reduced; and calculating the release benefit of the nighttime load belonging to the power component.

[0045] In another embodiment of the present invention, the calculation of the release revenue of the power component in the nighttime load includes: screening nighttime load combinations that meet the power demand of the power component; calculating the released electrical energy between the power corresponding to each type of load in the nighttime load combination and the corresponding duration; calculating the product between the released electrical energy of each type of load in the nighttime load combination and the unit release revenue to obtain the revenue of a single type of load; and superimposing the revenue of a single type of load in the nighttime load combination to select the release revenue with the largest superimposed value.

[0046] The unit release revenue refers to the economic benefit that can be obtained for each unit of electricity supplied. In the prior art, there are already ways to calculate the revenue, such as using the high price of electricity sold at night as the unit release revenue, or calculating the average profit that such loads can earn under the support of each unit of electricity in the past. Here, the existing conventional determination method can be used.

[0047] For example, the power component that should have been supplied during the daytime for load reduction is now to be used to supply the nighttime load (electricity consumption is higher than during the day, and the uninterruptible load is also higher than during the day). The current power component is only 100KW, but it needs to meet the load of five types of equipment: D, F, E, G, and H. The power requirements of D, F, E, G, and H are 25KW, 35KW, 45KW, 55KW, and 65KW, respectively. The principle of selecting the nighttime load combination is similar to the principle of selecting the three combinations of "covering the demand of 25KW and 35KW, or the demand of 25KW and 40KW, or the demand of 35KW and 40KW" mentioned above. For example, one of the selected nighttime load combinations is 25KW, 25KW, and 45KW, which means that 100KW can meet the power demand of D and E at once (there are two D type loads). Furthermore, the single-type load benefit of D * 2 + the single-type load benefit of E * 1 = the sum value. With the goal of maximizing the benefit, the one with the largest benefit is selected to release the benefit.

[0048] In another embodiment of the present invention, the step of superimposing the single-type load benefits of each type of load in the night load combination includes: selecting the candidate load combination with the largest number of non-reducible loads at night from the night load combination; and superimposing the single-type load benefits of each type of load in the candidate load combination.

[0049] It should be noted that each night load combination may contain loads that can be reduced at night and loads that cannot be reduced at night. The goal of this solution is to meet the electricity demand of loads that cannot be reduced at night as much as possible with the electricity charged into the energy storage battery. Therefore, it is necessary to select the candidate load combinations that have the largest number of loads that cannot be reduced at night. Each type of load may have multiple loads, so the number of loads that cannot be reduced at night here is not the number of types, but the number of individual loads.

[0050] S4. When the storage loss is less than the release gain, the surplus power generation is stored in the energy storage battery so that the energy storage battery can be used to release energy for the nighttime load at night.

[0051] In one embodiment of the present invention, the step of calling the energy storage battery at night to release energy for the nighttime load includes: calling the energy storage battery at night to first release energy for the nighttime load that cannot be reduced at night, and then calling the energy storage battery to release energy for the nighttime load that can be reduced at night.

[0052] S5. When the storage loss is not less than the release benefit, no energy storage operation is performed on the daytime load reduction.

[0053] Optionally, the process of not performing energy storage operation on the daytime load reduction is: not suspending power supply to the daytime load reduction.

[0054] like Figure 6 The diagram shown is a functional block diagram of an energy collaborative management device for a distributed photovoltaic-storage integrated grid-connected system according to the present invention.

[0055] The energy collaborative management device 600 of the distributed photovoltaic-storage integrated grid-connected system described in this invention can be installed in an electronic device. Depending on the functions implemented, the energy collaborative management device of the distributed photovoltaic-storage integrated grid-connected system includes a power query module 601, a power extraction module 602, a revenue analysis module 603, an energy release module 604, and an energy storage module 605. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and is stored in the memory of the electronic device.

[0056] In this embodiment of the invention, the functions of each module / unit are as follows: The power query module 601 is used to query the photovoltaic power generation of the photovoltaic cells and the remaining power space of the energy storage cells in the distributed photovoltaic-storage system. The power extraction module 602 is used to identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced. The revenue analysis module 603 is used to calculate the storage loss when performing energy storage operation on the daytime load that can be reduced, and to analyze the release revenue when the energy storage battery performs energy release operation on the nighttime load at the load end. The energy release module 604 is used to store the surplus power generation in the energy storage battery when the storage loss is less than the release gain, so as to call the energy storage battery to release energy for the nighttime load at night. The energy storage module 605 is used to not perform energy storage operations on the daytime load reduction when the storage loss is not less than the release benefit.

[0057] In detail, the modules in the energy collaborative management device 600 of the distributed photovoltaic-storage integrated grid-connected system described in this embodiment of the invention adopt the same characteristics as described above during use. Figure 1 The method uses the same technical means as the energy collaborative management method of the distributed photovoltaic-storage integrated grid-connected system described in the article, and can produce the same technical effect, so it will not be repeated here.

[0058] In one embodiment, a computer device is provided, which may be a server or a client, and its internal structure diagram may be as follows: Figure 7 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used for communication with external clients via a network connection. When the computer program is executed by the processor, it implements the functions or steps of an energy collaborative management method for a distributed photovoltaic-energy storage grid-connected system on the server or client side.

[0059] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: Query the photovoltaic power generation of photovoltaic cells and the remaining power capacity of energy storage cells in a distributed photovoltaic-storage system; Identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced. Calculate the storage loss when performing energy storage operation on the daytime load that can be reduced, and analyze the release benefit when the energy storage battery performs energy release operation on the nighttime load at the load end; When the storage loss is less than the release gain, the surplus power generation is stored in the energy storage battery so that the energy storage battery can be used at night to release energy for the nighttime load. When the storage loss is not less than the release gain, no energy storage operation is performed on the daytime load reduction.

[0060] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor: Query the photovoltaic power generation of photovoltaic cells and the remaining power capacity of energy storage cells in a distributed photovoltaic-storage system; Identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced. Calculate the storage loss when performing energy storage operation on the daytime load that can be reduced, and analyze the release benefit when the energy storage battery performs energy release operation on the nighttime load at the load end; When the storage loss is less than the release gain, the surplus power generation is stored in the energy storage battery so that the energy storage battery can be used at night to release energy for the nighttime load. When the storage loss is not less than the release gain, no energy storage operation is performed on the daytime load reduction.

[0061] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0062] 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. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0063] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0064] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0065] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for coordinated energy management of a distributed photovoltaic-storage integrated grid-connected system, characterized in that, The method includes: Query the photovoltaic power generation of photovoltaic cells and the remaining power capacity of energy storage batteries in a distributed photovoltaic-storage system; Identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced. Calculate the storage loss when performing energy storage operation on the daytime load that can be reduced, and analyze the release benefit when the energy storage battery performs energy release operation on the nighttime load at the load end; When the storage loss is less than the release gain, the surplus power generation is stored in the energy storage battery so that the energy storage battery can be used at night to release energy for the nighttime load. When the storage loss is not less than the release gain, no energy storage operation is performed on the daytime load reduction.

2. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 1, characterized in that, The analysis includes the energy release benefits of the energy storage battery when it performs energy release operations for nighttime loads at the load end, including: Obtain the power component corresponding to the daytime load reduction capacity in the surplus power generation capacity; Calculate the release benefit of the power component belonging to the nighttime load.

3. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 2, characterized in that, Calculating the release benefit of the power component within the nighttime load includes: Select nighttime load combinations that meet the required power components; Calculate the released electrical energy between the power and the duration of each type of load in the nighttime load combination; The revenue of a single load type is obtained by calculating the product of the released electrical energy and the unit release revenue for each type of load in the nighttime load combination. The individual load revenues of each type of load in the nighttime load combination are summed up, and the release revenue with the largest summation value is selected.

4. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 3, characterized in that, The revenue from each load type in the nighttime load mix is ​​summed up, including: Select the candidate load combination with the largest number of loads that cannot be reduced at night from the night load combinations; The individual load benefits of each type of load in the candidate load combination are summed.

5. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 1, characterized in that, Identify whether the load can be reduced during the day or not, including: The power load at the load end is classified into primary loads, secondary loads, and tertiary loads. The primary load and the secondary load are considered as non-reducible loads during the day. The aforementioned level 3 load is considered as a daytime load that can be reduced.

6. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 1, characterized in that, Based on the daytime load reduction criteria and the daytime non-load reduction criteria, the surplus power generation capacity that conforms to the remaining power space from the photovoltaic power generation capacity is extracted, including: Subtracting the power corresponding to the non-reducible load during the day from the photovoltaic power generation power yields the first remaining power. Determine whether the first remaining power is not greater than the remaining power space; When the first remaining power is not greater than the remaining power space, the first remaining power is regarded as surplus power generation. When the first surplus power is greater than the surplus power space, power will be allocated from the first surplus power to the second surplus power after the daytime load reduction as surplus power generation.

7. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 1, characterized in that, Calculate the storage losses when performing energy storage operations on the daytime reducible load, including: Identify the power component corresponding to the daytime load reduction capacity in the surplus power generation capacity; Calculate the storage loss of the power component.

8. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 7, characterized in that, Calculating the storage loss of the power component includes: Calculate the power shortage between the power shortage of each type of load belonging to the power component in the daytime load reduction capacity and the corresponding duration; Calculate the product between the power shortage and the unit power outage loss to obtain the single-type load loss; The storage loss is selected by summing up the single-type load losses between different daytime load reductions.

9. The energy collaborative management method for a distributed photovoltaic-storage integrated grid-connected system as described in claim 1, characterized in that, At night, the energy storage battery is used to release energy for the nighttime load, including: At night, the energy storage battery is first used to release energy for the non-reducible load during the night, and then the energy storage battery is used to release energy for the reduceable load during the night.

10. An energy collaborative management device for a distributed photovoltaic-storage integrated grid-connected system, characterized in that, The system includes: The power query module is used to query the photovoltaic power generation of photovoltaic cells and the remaining power space of energy storage cells in a distributed photovoltaic-storage system. The power extraction module is used to identify the daytime load that can be reduced and the daytime load that cannot be reduced at the load end, and extract the surplus power generation power in the photovoltaic power generation power that conforms to the remaining power space based on the daytime load that can be reduced and the daytime load that cannot be reduced. The revenue analysis module is used to calculate the storage loss when performing energy storage operations on the daytime load that can be reduced, and to analyze the release revenue when the energy storage battery performs energy release operations on the nighttime load. An energy release module is used to store the surplus power generation in the energy storage battery when the storage loss is less than the release gain, so as to call the energy storage battery to release energy for the nighttime load at night; An energy storage module is used to prevent energy storage operations on the daytime load reduction when the storage loss is not less than the release benefit.

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