Optical storage configuration optimization method and apparatus, device and readable storage medium

Abstract

The present application relates to the field of power facility configuration, and provides an optical storage configuration optimization method and apparatus, a device and a readable storage medium. The optical storage configuration optimization method applied to an optical storage system comprising a base station, a photovoltaic system and an energy storage device comprises: on the basis of position information and system parameters of the photovoltaic system, constructing a photovoltaic output model for calculating the power transmission capacity of the photovoltaic system; on the basis of the photovoltaic output model, determining a configuration relationship between the power transmission capacity of the photovoltaic system, the load of the base station and the capacity of the energy storage device in each power supply mode; and, on the basis of the configuration relationship, performing configuration optimization on the optical storage system.

Description

Optical storage configuration optimization method, device, equipment and readable storage medium

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese Patent Application No. 202410134209.0 filed in China on January 30, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present application relates to the field of power facility configuration, and specifically to a method, device, equipment and readable storage medium for optimizing photovoltaic storage configuration. Background Art

[0004] In the related art, in application scenarios involving photovoltaic power generation systems and energy storage batteries, the configuration information (such as capacity) of the energy storage battery is only related to the guaranteed duration of power consumption, that is, the configuration of the energy storage battery is only associated with power consumption information. In the case where the photovoltaic configuration is high and the energy storage battery configuration is low, the problem of photovoltaic power generation waste will arise, while in the case where the photovoltaic configuration is low and the energy storage battery configuration is high, the problem of high energy storage battery configuration cost will arise. In summary, the configuration between the photovoltaic system and the energy storage device in the related art needs to be optimized urgently. Summary of the Invention

[0005] The embodiments of the present application provide a photovoltaic storage configuration optimization method, device, equipment and readable storage medium to solve the technical problem in the related art that the configuration between the photovoltaic system and the energy storage device needs to be optimized.

[0006] In a first aspect, an embodiment of the present application provides a method for optimizing a photovoltaic storage configuration, which is applied to a photovoltaic storage system, wherein the photovoltaic storage system includes a base station, a photovoltaic system, and an energy storage device; the method includes:

[0007] Based on the location information and system parameters of the photovoltaic system, a photovoltaic output model is constructed, wherein the photovoltaic output model is used to calculate the amount of power transmitted by the photovoltaic system;

[0008] Determining, based on the photovoltaic output model, the configuration relationship between the photovoltaic system transmission capacity, base station load, and energy storage device capacity under each power supply mode;

[0009] The configuration of the optical storage system is optimized based on the configuration relationship.

[0010] In one embodiment of the present application, constructing a photovoltaic output model based on the location information and system parameters of the photovoltaic system includes:

[0011] determining the illumination time based on the location information of the photovoltaic system;

[0012] A photovoltaic output model is constructed based on the illumination time and the system parameters of the photovoltaic system. The photovoltaic system power transmission amount is calculated based on the current and time output by the photovoltaic output model.

[0013] In one embodiment of the present application, determining the configuration relationship between the photovoltaic system power transmission, base station load, and energy storage device capacity in each power supply mode based on the photovoltaic output model includes:

[0014] In the case where the power supply mode is powering the energy storage device, determining the power supply amount of the energy storage device, the charge amount of the energy storage device and the power consumption of the base station load based on the photovoltaic output model and the base station load;

[0015] Based on the power supply of the energy storage device, the charge of the energy storage device and the power consumption of the base station load, a configuration relationship between the power transmission of the photovoltaic system and the capacity of the energy storage device is determined.

[0016] In one embodiment of the present application, determining the configuration relationship between the photovoltaic system power transmission amount, base station load, and energy storage device capacity in each power supply mode based on the photovoltaic output model further includes:

[0017] In the case where the power supply mode is energy storage device power supply and public power supply, determining the public power supply amount based on the photovoltaic output model and the base station load;

[0018] Based on the public power supply, the power supply of the energy storage device, the charging amount of the energy storage device and the power consumption of the base station load, a configuration relationship between the photovoltaic system power transmission and the energy storage device capacity is determined.

[0019] In one embodiment of the present application, determining the configuration relationship between the photovoltaic system power transmission amount, base station load, and energy storage device capacity in each power supply mode based on the photovoltaic output model further includes:

[0020] In the case where the power supply mode is powering the energy storage device, the configuration relationship between the base station load and the energy storage device capacity is determined based on the photovoltaic system transmission capacity.

[0021] In one embodiment of the present application, determining the configuration relationship between the photovoltaic system power transmission amount, base station load, and energy storage device capacity in each power supply mode based on the photovoltaic output model further includes:

[0022] In the case where the power supply mode is energy storage device power supply and public power supply, the configuration relationship between the public power supply amount, the base station load and the energy storage device capacity is determined based on the photovoltaic system transmission amount.

[0023] In one embodiment of the present application, the optical storage configuration optimization method further includes:

[0024] Obtaining the guaranteed capacity of the energy storage device;

[0025] The capacity of the energy storage device is determined based on the charge amount of the energy storage device and the guaranteed capacity.

[0026] In a second aspect, an embodiment of the present application provides a photovoltaic storage configuration optimization device for a photovoltaic storage system, wherein the photovoltaic storage system includes a base station, a photovoltaic system, and an energy storage device; the device includes:

[0027] A photovoltaic output model building module is used to build a photovoltaic output model based on the location information and system parameters of the photovoltaic system, and the photovoltaic output model is used to calculate the amount of power transmitted by the photovoltaic system;

[0028] A configuration relationship determination module is used to determine the configuration relationship between the photovoltaic system transmission capacity, base station load and energy storage device capacity under each power supply mode based on the photovoltaic output model;

[0029] A configuration optimization module is used to optimize the configuration of the optical storage system based on the configuration relationship.

[0030] In one embodiment of the present application, the photovoltaic output model building module includes:

[0031] an illumination time determining unit, configured to determine the illumination time based on the location information of the photovoltaic system;

[0032] The photovoltaic output model construction unit is used to construct a photovoltaic output model based on the illumination time and the system parameters of the photovoltaic system. The photovoltaic system transmission capacity is calculated based on the current and time output by the photovoltaic output model.

[0033] In one embodiment of the present application, the configuration relationship determination module includes:

[0034] an electric quantity information determining unit, configured to determine, when the power supply mode is for powering the energy storage device, the power supply amount of the energy storage device, the power charge amount of the energy storage device, and the power consumption of the base station load based on the photovoltaic output model and the base station load;

[0035] The first configuration relationship determining unit is configured to determine a configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the power supply amount of the energy storage device, the charge amount of the energy storage device and the power consumption of the base station load.

[0036] In one embodiment of the present application, the configuration relationship determination module further includes:

[0037] a public power supply amount determining unit, configured to determine the public power supply amount based on the photovoltaic output model and the base station load when the power supply mode is energy storage device power supply and public power supply;

[0038] The second configuration relationship determining unit is used to determine the configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the public power supply amount, the energy storage device power supply amount, the energy storage device charging amount and the base station load power consumption.

[0039] In one embodiment of the present application, the configuration relationship determination module further includes:

[0040] The third configuration relationship determining unit is configured to determine the configuration relationship between the base station load and the energy storage device capacity based on the photovoltaic system transmission amount when the power supply mode is to supply power to the energy storage device.

[0041] In one embodiment of the present application, the configuration relationship determination module further includes:

[0042] The fourth configuration relationship determination unit is used to determine the configuration relationship between the public power supply, the base station load and the energy storage device capacity based on the photovoltaic system transmission capacity when the power supply mode is energy storage device power supply and public power supply.

[0043] In one embodiment of the present application, the optical storage configuration optimization device further includes:

[0044] A guaranteed capacity acquisition module, configured to acquire the guaranteed capacity of the energy storage device;

[0045] The energy storage device capacity determination module is used to determine the capacity of the energy storage device based on the charge amount of the energy storage device and the guaranteed capacity.

[0046] In a third aspect, an embodiment of the present application provides a device comprising a processor and a memory storing a computer program, wherein when the processor executes the computer program, the optical storage configuration optimization method described in the first aspect is implemented.

[0047] In a fourth aspect, an embodiment of the present application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the optical storage configuration optimization method described in the first aspect.

[0048] The photovoltaic-storage configuration optimization method, apparatus, device, and readable storage medium provided in the embodiments of this application use the location information and system parameters of the photovoltaic system to construct a photovoltaic output model that can calculate the photovoltaic system's power transmission. Based on the photovoltaic output model, the configuration relationship between the photovoltaic system's power transmission, base station load, and energy storage device capacity is further determined by introducing base station load. Ultimately, based on this determined configuration relationship, the configuration between the base station, photovoltaic system, and energy storage device in the photovoltaic-storage system is optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in this application or related technologies, the following is a brief introduction to the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0050] FIG1 is a flow chart of a method for optimizing solar-storage configuration according to an embodiment of the present application;

[0051] FIG2 is a second flow chart of the method for optimizing the solar-storage configuration according to an embodiment of the present application;

[0052] FIG3 is a schematic diagram of the structure of a photovoltaic storage configuration optimization device provided in an embodiment of the present application;

[0053] FIG4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions in this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0055] Referring to Figure 1, Figure 1 is a flow chart of a method for optimizing the configuration of a solar-powered storage system according to an embodiment of the present application. The method for optimizing the configuration of a solar-powered storage system according to an embodiment of the present application may include:

[0056] Step 100: constructing a photovoltaic output model based on the location information and system parameters of the photovoltaic system, wherein the photovoltaic output model is used to calculate the amount of power transmitted by the photovoltaic system;

[0057] Specifically, the photovoltaic storage configuration optimization method provided in the embodiment of the present application is applied to a photovoltaic storage system including a base station, a photovoltaic system and an energy storage device (such as a battery). In this photovoltaic storage system, the photovoltaic system is used to generate electricity, the base station uses the power transmission of the photovoltaic system, and the energy storage device is used to store the part of the photovoltaic power generation that the base station cannot use.

[0058] The power generation of a photovoltaic system is related to its location and configuration parameters (such as system power and efficiency). After obtaining the system's location and system parameters, a photovoltaic output model (y = a × (x - S1) × (x - S3)) is constructed, as shown in Figure 2. Here, y is the current output by the photovoltaic system, S1 is the sunrise time determined based on the system's location, S3 is the sunset time determined based on the system's location, and a is a coefficient determined by the photovoltaic system parameters, S1, and S3. The product of the area formed by the curve formed by the photovoltaic output model and the time axis in Figure 2 and the output voltage is the photovoltaic system's power transmission.

[0059] Step 200: determining the configuration relationship between the photovoltaic system power transmission, base station load, and energy storage device capacity under each power supply mode based on the photovoltaic output model;

[0060] Specifically, q in FIG2 is the base station load, and the power supply modes proposed in the embodiment of the present application include power supply by energy storage device only, and power supply by energy storage device and other power sources.

[0061] In the energy storage device power supply mode, the power supply corresponding to areas M1, M2, M4, M5, and M6 in Figure 2 is supported by the charge corresponding to area M3 (energy storage device charging). Given a fixed base station load q, the PV output model and power supply mode in Figure 2 can determine the configuration relationship between the PV system's power transmission and the energy storage device capacity. That is, the PV system's power transmission is greater than or equal to the sum of the energy storage device capacity and the base station's daily power consumption.

[0062] When powered by energy storage devices and other power sources, the power supply corresponding to areas M1, M2, M4, M5, and M6 in Figure 2 is supplied by the charge capacity corresponding to area M3 and other power sources. Given a fixed base station load q, the PV output model and power supply model in Figure 2 can be used to determine the configuration relationship between the PV system's power transmission and the energy storage device capacity. This means that the PV system's power transmission is greater than or equal to the sum of the energy storage device capacity, the power supply from other power sources, and the base station's daily power consumption.

[0063] Step 300: Optimize the configuration of the photovoltaic storage system based on the configuration relationship.

[0064] Specifically, a photovoltaic output function is constructed based on the geographic location of the photovoltaic system and base station, as well as the system's own parameters. Correlations between factors such as time and the photovoltaic system's output current are established. The base station load and photovoltaic output models are combined to determine the configuration relationship between the photovoltaic system's transmission capacity and the energy storage device's capacity. The optimal configuration of photovoltaic and energy storage batteries is determined based on the power supply mode of each base station. Based on this optimal configuration relationship, the photovoltaic and energy storage system is optimized.

[0065] This embodiment uses the PV system's location information and system parameters to construct a PV output model that can calculate the PV system's power transmission. Based on this PV output model, the base station load is introduced to further determine the configuration relationship between the PV system's power transmission, base station load, and energy storage device capacity. Ultimately, based on this determined configuration relationship, the configuration of the base station, PV system, and energy storage device in the PV-storage system is optimized.

[0066] In one embodiment, the optical storage configuration optimization method provided in the embodiment of the present application may further include:

[0067] Step 110, determining the illumination time based on the location information of the photovoltaic system;

[0068] Step 120: construct a photovoltaic output model based on the illumination time and the system parameters of the photovoltaic system. The photovoltaic system transmission capacity is calculated based on the current and time output by the photovoltaic output model.

[0069] Specifically, the location information of the base station and photovoltaic system includes latitude α, longitude λ, latitude of the sun irradiation point β, and effective daily sunshine duration h, etc., and a photovoltaic output model y=a×(x-S1)×(x-S3) consisting of time (x-axis) and current (y-axis) is constructed. Among them, S1 is calculated by formula 1, and S3 is calculated by formula

[0070] Calculated by formula 2.

[0071] On the curve formed by the photovoltaic output model in Figure 2, the average daily photovoltaic output is represented by the product of the area formed by the y-axis and the time axis and the output voltage. Assuming an output voltage of 54, the average daily output of the photovoltaic system, W1 (i.e., the photovoltaic system transmission capacity in this embodiment), is calculated by Equation 3. Here, W is the power of the photovoltaic system, and η is the efficiency of the photovoltaic system. The coefficient a in the above photovoltaic output model is calculated by Equation 4.

[0072] In Figure 2, S2 represents the time point at which the PV system outputs maximum current, determined by the longitude λ of the base station and the PV system. S2 is calculated using Equation 5, and the PV system's maximum output current d corresponding to S2 is calculated using Equation 6.

[0073] This embodiment constructs a photovoltaic output function using the location information and system parameters of the photovoltaic system, and establishes the correlation between time and the output current of the photovoltaic system.

[0074] In one embodiment, the optical storage configuration optimization method provided in the embodiment of the present application may further include:

[0075] Step 210, when the power supply mode is energy storage device power supply, based on the photovoltaic output model and the base station load, determining the energy storage device power supply amount, the energy storage device charge amount and the base station load power consumption;

[0076] Step 220 : determining a configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the power supply amount of the energy storage device, the charge amount of the energy storage device, and the power consumption of the base station load.

[0077] The optical storage configuration optimization method provided in the embodiment of the present application may further include:

[0078] Step 400: Obtain the guaranteed capacity of the energy storage device;

[0079] Step 500: Determine the capacity of the energy storage device based on the charge amount of the energy storage device and the guaranteed capacity.

[0080] The optical storage configuration optimization method provided in the embodiment of the present application may further include:

[0081] Step 230 , when the power supply mode is energy storage device power supply and public power supply, determine the public power supply amount based on the photovoltaic output model and the base station load;

[0082] Step 240 : Determine a configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the public power supply amount, the energy storage device power supply amount, the energy storage device charge amount, and the base station load power consumption.

[0083] Specifically, based on the above-mentioned photovoltaic output model, the concept of base station load q is introduced. Multiple areas are obtained by dividing the base station load q and the photovoltaic output model. As shown in Figure 2, areas M1, M2, M4, M5 and M6 are power supply areas, M3 is the energy storage device charging area, and M7 is the photovoltaic power transmission area for base station load power consumption.

[0084] The load q and the PV output model have two intersection points: the closest to S1 is at time P1, and the closest to S3 is at time P2. During the time period from 0 to S1, the PV system does not output power. During this time period, the base station load is powered by an external power supply or energy storage device. The same applies to the time period from S3 to 24.

[0085] During the S1 to P1 period, the sunlight intensity is weak and the photovoltaic output power is insufficient to meet the base station load, so a portion of the power supply needs to be connected to an external power supply or energy storage device (i.e., the area corresponding to M2). The same applies to the P2 to S3 period.

[0086] During the P1 to P2 period, the sunlight intensity is strong. In addition to being used by the base station load, the excess power output of the photovoltaic system can also be used to charge energy storage devices.

[0087] By introducing the base station load q, when the base station load q is determined, the daily power consumption of the base station load is also determined. Known power supply modes include energy storage batteries alone and energy storage batteries and other power sources together.

[0088] In the energy storage battery power supply mode, the power supply corresponding to areas M1, M2, M4, M5 and M6 requires the storage capacity corresponding to area M3. Considering that the energy storage equipment needs to retain a portion of emergency power (i.e., the guaranteed capacity in this embodiment) and has already lost charge and discharge, the storage capacity corresponding to area M3 must be greater than the sum of the power supply corresponding to M1, M2, M4, M5 and M6. Based on this judgment condition, the configuration relationship between the photovoltaic system transmission capacity and the energy storage equipment capacity is determined. That is, the energy storage equipment capacity should be greater than the difference between the photovoltaic system transmission capacity and the base station load power consumption;

[0089] When energy storage batteries and other power sources are used together for power supply, the power supply corresponding to areas M1, M2, M4, M5, and M6 requires the storage capacity corresponding to area M3 and other power sources. For example, the power supply corresponding to M2, M4, and M5 is provided by the storage capacity corresponding to area M3, while the power supply corresponding to M1 and M6 is provided by other power sources. Similarly, considering the guaranteed capacity of the energy storage equipment, the storage capacity corresponding to area M3 must be greater than the sum of the power supply corresponding to M2, M4, and M5. Based on this judgment condition, the configuration relationship between the PV system transmission capacity and the energy storage equipment capacity is determined. In other words, the energy storage equipment capacity should be greater than the difference between the PV system transmission capacity and the power consumption corresponding to the base station loads M2, M4, and M5.

[0090] This embodiment optimizes the configuration relationship between the photovoltaic system and the energy storage device through the photovoltaic output model and the determined base station load.

[0091] In one embodiment, the optical storage configuration optimization method provided in the embodiment of the present application may further include:

[0092] Step 250 : When the power supply mode is to supply power to the energy storage device, the configuration relationship between the base station load and the energy storage device capacity is determined based on the photovoltaic system power transmission amount.

[0093] The optical storage configuration optimization method provided in the embodiment of the present application may further include:

[0094] Step 260 : When the power supply mode is energy storage device power supply and public power supply, determine the configuration relationship between the public power supply, base station load and energy storage device capacity based on the photovoltaic system transmission capacity.

[0095] Specifically, it is understood that when the photovoltaic system configuration is determined, there is also a certain configuration relationship between the base station load and the energy storage device. The photovoltaic system configuration is determined by the sum of the power generation corresponding to M3 and M7 in Figure 2.

[0096] When the power supply mode is energy storage equipment and the guaranteed capacity of the energy storage equipment is taken into consideration, the area of ​​the M3 region must be greater than the sum of the areas of M1, M2, M4, M5, and M6. Based on this judgment condition, the configuration relationship between the base station load and the energy storage equipment capacity is determined. In other words, the energy storage equipment capacity should be greater than the power supply required by the base station load;

[0097] In a shared power supply mode using energy storage batteries and other power sources, for example, the power supply for M2, M4, and M5 is supplied by the storage capacity in area M3, while the power supply for M1 and M6 is supplied by other power sources. In this case, if the guaranteed capacity of the energy storage device is still considered, the area of ​​area M3 must be greater than the sum of the areas of M2, M4, and M5. Based on this judgment condition, the configuration relationship between the base station load and the energy storage device capacity is determined. In other words, the energy storage device capacity should be greater than the power supply required by the base station load.

[0098] It is understandable that when determining the configuration of any one of the base station load, photovoltaic system, and energy storage device, the configuration of the other two can be optimized based on the optical fiber output model provided in the embodiment of the present application.

[0099] This embodiment optimizes the configuration relationship between the base station and the energy storage device through the photovoltaic output model and the determined photovoltaic system configuration.

[0100] Refer to Figure 3, which is a structural diagram of the optical storage configuration optimization device in the embodiment of the present application. The optical storage configuration optimization device provided in the embodiment of the present application is described below. The optical storage configuration optimization device described below and the optical storage configuration optimization method described above can be referenced to each other.

[0101] A photovoltaic output model building module 301 is used to build a photovoltaic output model based on the location information and system parameters of the photovoltaic system, and the photovoltaic output model is used to calculate the amount of power transmitted by the photovoltaic system;

[0102] A configuration relationship determination module 302 is configured to determine, based on the photovoltaic output model, the configuration relationship between the photovoltaic system power transmission, the base station load, and the energy storage device capacity under each power supply mode;

[0103] The configuration optimization module 303 is configured to optimize the configuration of the photovoltaic storage system based on the configuration relationship.

[0104] The photovoltaic storage configuration optimization device of the present application can be applied to a photovoltaic storage system, which includes a base station, a photovoltaic system and an energy storage device.

[0105] Optionally, the photovoltaic output model building module includes:

[0106] an illumination time determining unit, configured to determine the illumination time based on the location information of the photovoltaic system;

[0107] The photovoltaic output model construction unit is used to construct a photovoltaic output model based on the illumination time and the system parameters of the photovoltaic system. The photovoltaic system transmission capacity is calculated based on the current and time output by the photovoltaic output model.

[0108] Optionally, the configuration relationship determination module includes:

[0109] an electric quantity information determining unit, configured to determine, when the power supply mode is for powering the energy storage device, the power supply amount of the energy storage device, the power charge amount of the energy storage device, and the power consumption of the base station load based on the photovoltaic output model and the base station load;

[0110] The first configuration relationship determining unit is configured to determine a configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the power supply amount of the energy storage device, the charge amount of the energy storage device and the power consumption of the base station load.

[0111] Optionally, the configuration relationship determination module further includes:

[0112] a public power supply amount determining unit, configured to determine the public power supply amount based on the photovoltaic output model and the base station load when the power supply mode is energy storage device power supply and public power supply;

[0113] The second configuration relationship determining unit is used to determine the configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the public power supply amount, the energy storage device power supply amount, the energy storage device charging amount and the base station load power consumption.

[0114] Optionally, the configuration relationship determination module further includes:

[0115] The third configuration relationship determining unit is configured to determine the configuration relationship between the base station load and the energy storage device capacity based on the photovoltaic system transmission amount when the power supply mode is to supply power to the energy storage device.

[0116] Optionally, the configuration relationship determination module further includes:

[0117] The fourth configuration relationship determination unit is used to determine the configuration relationship between the public power supply, the base station load and the energy storage device capacity based on the photovoltaic system transmission capacity when the power supply mode is energy storage device power supply and public power supply.

[0118] Optionally, the optical storage configuration optimization device further includes:

[0119] A guaranteed capacity acquisition module, configured to acquire the guaranteed capacity of the energy storage device;

[0120] The energy storage device capacity determination module is used to determine the capacity of the energy storage device based on the charge amount of the energy storage device and the guaranteed capacity.

[0121] FIG4 illustrates a schematic diagram of the physical structure of a device. As shown in FIG4 , the device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440. The processor 410, the communication interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 may invoke a computer program in the memory 430 to execute the steps of the optical storage configuration optimization method.

[0122] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the relevant technology or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0123] On the other hand, an embodiment of the present application also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the computer can execute the steps of the optical storage configuration optimization method provided in the above embodiments.

[0124] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0125] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by means of hardware. Based on this understanding, the essence of the above technical solution or the portion that contributes to the relevant technology can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the optical storage configuration optimization method described in each embodiment or certain parts of the embodiment.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for optimizing photovoltaic storage configuration, applied to a photovoltaic storage system, wherein the photovoltaic storage system includes a base station, a photovoltaic system, and an energy storage device; the method comprises: Based on the location information and system parameters of the photovoltaic system, a photovoltaic output model is constructed, wherein the photovoltaic output model is used to calculate the amount of power transmitted by the photovoltaic system; Determining, based on the photovoltaic output model, the configuration relationship between the photovoltaic system transmission capacity, base station load, and energy storage device capacity under each power supply mode; The configuration of the optical storage system is optimized based on the configuration relationship.

2. The method for optimizing solar storage configuration according to claim 1, wherein: The constructing of a photovoltaic output model based on the location information and system parameters of the photovoltaic system includes: determining the illumination time based on the location information of the photovoltaic system; A photovoltaic output model is constructed based on the illumination time and the system parameters of the photovoltaic system. The photovoltaic system power transmission amount is calculated based on the current and time output by the photovoltaic output model.

3. The method for optimizing solar storage configuration according to claim 2, wherein: Determining the configuration relationship between the photovoltaic system power transmission, base station load, and energy storage device capacity under each power supply mode based on the photovoltaic output model includes: In the case where the power supply mode is powering the energy storage device, determining the power supply amount of the energy storage device, the charge amount of the energy storage device and the power consumption of the base station load based on the photovoltaic output model and the base station load; Based on the power supply of the energy storage device, the charge of the energy storage device and the power consumption of the base station load, a configuration relationship between the power transmission of the photovoltaic system and the capacity of the energy storage device is determined.

4. The method for optimizing solar storage configuration according to claim 3, wherein: The determining, based on the photovoltaic output model, the configuration relationship between the photovoltaic system power transmission amount, the base station load, and the energy storage device capacity under each power supply mode further includes: In the case where the power supply mode is energy storage device power supply and public power supply, determining the public power supply amount based on the photovoltaic output model and the base station load; Based on the public power supply, the power supply of the energy storage device, the charging amount of the energy storage device and the power consumption of the base station load, a configuration relationship between the photovoltaic system power transmission and the energy storage device capacity is determined.

5. The method for optimizing solar storage configuration according to claim 2, wherein: The determining, based on the photovoltaic output model, the configuration relationship between the photovoltaic system power transmission amount, the base station load, and the energy storage device capacity under each power supply mode further includes: In the case where the power supply mode is powering the energy storage device, the configuration relationship between the base station load and the energy storage device capacity is determined based on the photovoltaic system transmission capacity.

6. The method for optimizing solar storage configuration according to claim 2, wherein: The determining, based on the photovoltaic output model, the configuration relationship between the photovoltaic system power transmission amount, the base station load, and the energy storage device capacity under each power supply mode further includes: In the case where the power supply mode is energy storage device power supply and public power supply, the configuration relationship between the public power supply amount, the base station load and the energy storage device capacity is determined based on the photovoltaic system transmission amount.

7. The method for optimizing solar storage configuration according to claim 3, wherein: The optical storage configuration optimization method further includes: Obtaining the guaranteed capacity of the energy storage device; The capacity of the energy storage device is determined based on the charge amount of the energy storage device and the guaranteed capacity.

8. A photovoltaic storage configuration optimization device for a photovoltaic storage system, wherein the photovoltaic storage system includes a base station, a photovoltaic system, and an energy storage device; the photovoltaic storage configuration optimization device includes: A photovoltaic output model building module is used to build a photovoltaic output model based on the location information and system parameters of the photovoltaic system, and the photovoltaic output model is used to calculate the amount of power transmitted by the photovoltaic system; A configuration relationship determination module is used to determine the configuration relationship between the photovoltaic system transmission capacity, base station load and energy storage device capacity under each power supply mode based on the photovoltaic output model; A configuration optimization module is used to optimize the configuration of the optical storage system based on the configuration relationship.

9. The optical storage configuration optimization device according to claim 8, wherein: The photovoltaic output model building module includes: an illumination time determining unit, configured to determine the illumination time based on the location information of the photovoltaic system; The photovoltaic output model construction unit is used to construct a photovoltaic output model based on the illumination time and the system parameters of the photovoltaic system. The photovoltaic system transmission capacity is calculated based on the current and time output by the photovoltaic output model.

10. The optical storage configuration optimization device according to claim 9, wherein: The configuration relationship determination module includes: an electric quantity information determining unit, configured to determine, when the power supply mode is for powering the energy storage device, the power supply amount of the energy storage device, the power charge amount of the energy storage device, and the power consumption of the base station load based on the photovoltaic output model and the base station load; The first configuration relationship determining unit is configured to determine a configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the power supply amount of the energy storage device, the charge amount of the energy storage device and the power consumption of the base station load.

11. The optical storage configuration optimization device according to claim 10, wherein: The configuration relationship determination module also includes: a public power supply amount determining unit, configured to determine the public power supply amount based on the photovoltaic output model and the base station load when the power supply mode is energy storage device power supply and public power supply; The second configuration relationship determining unit is used to determine the configuration relationship between the photovoltaic system power transmission amount and the energy storage device capacity based on the public power supply amount, the energy storage device power supply amount, the energy storage device charging amount and the base station load power consumption.

12. The optical storage configuration optimization device according to claim 9, wherein: The configuration relationship determination module also includes: The third configuration relationship determining unit is configured to determine the configuration relationship between the base station load and the energy storage device capacity based on the photovoltaic system transmission amount when the power supply mode is to supply power to the energy storage device.

13. The optical storage configuration optimization device according to claim 9, wherein: The configuration relationship determination module also includes: The fourth configuration relationship determination unit is used to determine the configuration relationship between the public power supply, the base station load and the energy storage device capacity based on the photovoltaic system transmission capacity when the power supply mode is energy storage device power supply and public power supply.

14. The optical storage configuration optimization device according to claim 10, wherein: The optical storage configuration optimization device further includes: A guaranteed capacity acquisition module, configured to acquire the guaranteed capacity of the energy storage device; The energy storage device capacity determination module is used to determine the capacity of the energy storage device based on the charge amount of the energy storage device and the guaranteed capacity.

15. An electronic device comprising a processor and a memory storing a computer program, wherein when the processor executes the computer program, the method for optimizing the photovoltaic storage configuration according to any one of claims 1 to 7 is implemented.

16. A non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the method for optimizing the optical storage configuration according to any one of claims 1 to 7 is implemented.

Images