Control method of iron tower base station

Abstract

The invention provides an iron tower base station management and control method, which comprises the steps of determining load characteristics of an iron tower base station according to equipment information of the iron tower base station; the load characteristics at least comprise one of peak and valley periods, meteorological data and electrical data; based on the load characteristics, determining an energy storage system charging and discharging strategy of the iron tower base station; the energy storage system at least comprises a peak shifting energy storage battery; the off-peak energy storage battery is used for dispatching the iron tower base station to perform peak clipping and valley filling; the energy storage system charging and discharging strategy at least comprises the charging and discharging time and power of the peak shifting energy storage battery. The invention further provides an iron tower base station management and control device, equipment and a storage medium.

Description

Technical Field

[0001] The present disclosure relates to the field of power system dispatching, and more specifically to a control method for a tower base station. Background Art

[0002] By connecting the tower base station to the operation and control of the virtual power plant, the energy storage power can be increased or decreased without affecting the normal operation of the base station. By enabling the tower base station to participate in the regulation of power grid electricity, it can assist in solving the problem of power congestion in local areas, help reduce power investment and construction costs, and improve the resource utilization of the power system. Summary of the invention

[0003] In view of the above problems, the present disclosure provides a method for controlling an iron tower base station by utilizing the iron tower base station to participate in peak shaving and valley filling.

[0004] The present disclosure provides a control method for a tower base station, comprising: determining the load characteristics of the tower base station according to equipment information of the tower base station; the load characteristics at least include a predicted load curve of the tower base station and a predicted voltage curve of a peak-shifting energy storage battery; determining a charging and discharging strategy of an energy storage system of the tower base station based on the load characteristics; the energy storage system at least includes a peak-shifting energy storage battery; the peak-shifting energy storage battery is used to dispatch the tower base station to perform peak shaving and valley filling; the charging and discharging strategy of the energy storage system at least includes the charging and discharging time and power of the peak-shifting energy storage battery.

[0005] According to an embodiment of the present disclosure, the load characteristics of the tower base station are determined based on the equipment information of the tower base station, including: collecting equipment information through the intelligent terminal of the tower base station; the equipment information at least includes the base station name, marketing account number, contact person, contact number, total current, total active power, power curve, circuit breaker switch status, ambient temperature curve, ambient humidity and one of the peak and valley time periods; inputting the equipment information into the trained battery prediction model to obtain the load characteristics; the battery prediction model is configured to be able to input equipment information and output a predicted load curve and a predicted voltage curve.

[0006] According to an embodiment of the present disclosure, based on the load characteristics, the charging and discharging strategy of the energy storage system of the tower base station is determined, including: determining the adjustable load of the tower base station and the capacity of the peak-shifting energy storage battery according to the predicted load curve of the tower base station; the capacity of the peak-shifting energy storage battery is equal to the consumed load of the tower base station during the peak period; determining the dischargeable time of the peak-shifting energy storage battery according to the predicted voltage curve and capacity of the peak-shifting energy storage battery; determining the charging and discharging strategy of the energy storage system of the tower base station according to the adjustable load and the dischargeable time.

[0007] According to an embodiment of the present disclosure, a charging and discharging strategy of an energy storage system of an iron tower base station is determined according to an adjustable load and a dischargeable time, including: determining whether a large-scale iron tower base station needs to participate in load scheduling during a peak period according to the adjustable load; a large-scale iron tower base station includes at least two iron tower base stations; in response to the iron tower base station needing to participate in load scheduling, determining a charging and discharging strategy of an energy storage system of an iron tower base station according to peak and valley periods, adjustable loads and dischargeable time.

[0008] According to an embodiment of the present disclosure, a charging and discharging strategy of an energy storage system of an iron tower base station is determined according to peak and valley time periods, adjustable loads and dischargeable time, including: in response to the current time period being a valley time period, using AC mains to charge an off-peak energy storage battery; using AC mains to power the load; the off-peak energy storage battery is installed in a computer room of the iron tower base station; in response to the current time period being a peak time period, using the off-peak energy storage battery to power the load according to the adjustable load and dischargeable time; in response to the current time period being a normal time period, using AC mains to power the load; and the off-peak energy storage battery is on standby.

[0009] According to an embodiment of the present disclosure, charging a peak-shifting energy storage battery using AC mains power includes: determining a floating charge voltage of the peak-shifting energy storage battery according to the length of the valley period and the capacity of the peak-shifting energy storage battery.

[0010] According to an embodiment of the present disclosure, the load is powered by a peak-shifting energy storage battery according to the adjustable load and the dischargeable time, and then the air conditioner of the tower base station room is turned off.

[0011] The second aspect of the present disclosure provides a control device for a tower base station, which can be used to implement the above method, including: a data acquisition module, used to determine the load characteristics of the tower base station according to the equipment information of the tower base station; the load characteristics include at least one of peak and valley time periods, meteorological data, and electrical data; a peak-shifting energy storage module, used to determine the charging and discharging strategy of the energy storage system of the tower base station based on the load characteristics; the energy storage system includes at least a peak-shifting energy storage battery; the peak-shifting energy storage battery is used to dispatch the tower base station to perform peak shaving and valley filling; the charging and discharging strategy of the energy storage system includes at least the charging and discharging time and power of the peak-shifting energy storage battery.

[0012] The third aspect of the present disclosure provides an electronic device, comprising: one or more processors; a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the above-mentioned tower base station management and control method.

[0013] The fourth aspect of the present disclosure further provides a computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, enables the processor to perform the management and control of the above-mentioned tower base station.

[0014] According to the control method of the tower base station provided in the present invention, the load characteristics of the tower base station are determined according to the equipment information of the tower base station. Since the load characteristics (including the predicted load curve and the battery voltage curve) can accurately reflect the load fluctuation of the tower base station, the tower base station can be added to the load scheduling work through the peak-shifting energy storage battery. The method at least partially solves the problem of power congestion in local areas, and achieves the technical effect of effectively shaving the peak and filling the valley, and improving the efficiency and stability of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flowchart of a method for controlling a tower base station according to an embodiment of the present disclosure is schematically shown;

[0016] Figure 2 The structure block diagram of the control device of the tower base station according to the embodiment of the present disclosure is schematically shown;

[0017] Figure 3 A schematic diagram of a peak-shifting energy storage module of a tower base station according to an embodiment of the present disclosure is schematically shown;

[0018] Figure 4 A block diagram of an electronic device suitable for implementing a control method of an iron tower base station according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0019] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0020] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0021] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification, and should not be interpreted in an idealized or overly rigid manner.

[0022] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0023] First, the technical terms involved in this disclosure are explained as follows:

[0024] Peak-shifting energy storage battery: Use UPS (Uninterruptible Power Supply). UPS is a device used to provide continuous power supply, usually used to ensure that connected devices are not affected when the mains power is off or the power quality is unstable. The main function of UPS is to protect electrical equipment from power fluctuations or interruptions, especially in data centers, medical equipment, communication equipment, industrial control systems and other scenarios.

[0025] Most of my country's electricity generation still relies on coal-fired thermal power generation, but small coal mines are gradually shut down, and a large amount of coal is imported every year, resulting in a shortage of coal and high power generation costs, which affects the power generation capacity of power plants. New energy sources are increasing rapidly, and the installed capacity of photovoltaic and wind power is increasing. Affected by the climate and environment, the power supply is unstable. With the rapid development of the real economy and the rapid advancement of urbanization, the living standards of the people are improving year by year, and the power grid loads of various provinces and cities, especially the peak power loads, are rising year by year. The maximum power generation capacity of power plants does not match the peak load of the power grid. During the peak load period of the power grid, it cannot meet all power demand and can only implement load peaking.

[0026] At the same time, with the large-scale deployment and construction of 5G base stations, the peak period of base station electricity charges will be from 2020 to 2022, and the base station electricity charges will continue to maintain a trend of gradual growth every year. The pressure and demand for cost reduction and efficiency improvement are imminent for operators. There are a large number of tower communication rooms with a large overall load. Currently, 75,000 stations are equipped with energy storage batteries, with a total load of more than 1.5 million kWh and an investment of more than 1 billion yuan in precipitation batteries. Although the power load of each mobile base station is relatively small, there are many rooms and the overall network load is large. The effect of implementing peak load regulation is considerable and predictable.

[0027] Figure 1 The flowchart of the control method of the tower base station according to the embodiment of the present disclosure is schematically shown. Figure 1As shown, an embodiment of the present disclosure provides a method for controlling a tower base station, comprising: determining the load characteristics of the tower base station according to equipment information of the tower base station; the load characteristics at least include a predicted load curve of the tower base station and a predicted voltage curve of a peak-shifting energy storage battery; based on the load characteristics, determining the charging and discharging strategy of the energy storage system of the tower base station; the energy storage system at least includes a peak-shifting energy storage battery; the peak-shifting energy storage battery is used to schedule the tower base station to perform peak shaving and valley filling; the charging and discharging strategy of the energy storage system at least includes the charging and discharging time and power of the peak-shifting energy storage battery.

[0028] Through the embodiments of the present disclosure, the load characteristics of the tower base station are predicted by collecting the equipment information of the tower base station; through the load characteristics, it is determined whether the tower base station participates in load scheduling and adjustable load, so as to use the tower base station to complete peak shaving and valley filling, thereby improving the utilization rate of power grid resources.

[0029] On the basis of the above embodiment, the load characteristics of the tower base station are determined according to the equipment information of the tower base station, including: collecting equipment information through the intelligent terminal of the tower base station; the equipment information at least includes the base station name, marketing account number, contact person, contact number, total current, total active power, power curve, circuit breaker switch status, ambient temperature curve, ambient humidity and one of the peak and valley time periods; the equipment information is input into the trained battery prediction model to obtain the load characteristics; the battery prediction model is configured to be able to input equipment information and output a predicted load curve and a predicted voltage curve.

[0030] In this embodiment, the power load characteristics of the tower base station, including peak and valley periods, load volatility, seasonal changes, etc., evaluate the load impact of the base station on the power grid and its potential role in power grid peak regulation. An intelligent control terminal for the tower base station is installed for each tower base station to collect the operation data of the tower base station. The indicators obtained include the name of the base station, marketing account number, contact person, contact number, total current, total active power and power curve, circuit breaker switch status, UPS output DC voltage and voltage curve, ambient temperature and temperature curve, and local meteorological information. Through the ambient temperature, combined with the current time and weather information, the future power load of the base station can be evaluated; through the UPS output DC voltage, we can evaluate the time that the UPS can persist in supplying power to the base station, and these data are used to evaluate the subsequent load regulation capability. Combined with the above information, the power voltage drop and time that the tower base station can provide are reported to evaluate the load regulation capability.

[0031] Furthermore, the output DC voltage curve reflects the battery voltage changes under different working conditions of the UPS. The battery voltage will gradually decrease with the increase of usage time until it reaches the low voltage warning value. At this time, the UPS needs to switch to the mains power supply or prompt the user that the battery needs to be replaced. Therefore, the theoretical power of the UPS battery should be greater than the load required by the tower base station during peak hours in one day. First confirm the power supply time of the UPS battery and determine the required UPS capacity and charging voltage.

[0032] It should be noted that the battery prediction model can be trained through a training set consisting of historical load data, historical output voltage data and equipment information.

[0033] Through the embodiments of the present disclosure, by collecting equipment information of the tower base station and inputting it into the battery prediction model, since the equipment information contains important data such as current, power, environmental conditions, etc., it can provide sufficient basis for predicting load and battery voltage, and realize the use of machine learning and big data analysis to optimize load prediction and improve the accuracy and response speed of load management.

[0034] On the basis of the above embodiment, based on the load characteristics, the charging and discharging strategy of the energy storage system of the tower base station is determined, including: determining the adjustable load of the tower base station and the capacity of the peak-shifting energy storage battery according to the predicted load curve of the tower base station; the capacity of the peak-shifting energy storage battery is equal to the consumed load of the tower base station during the peak period; determining the dischargeable time of the peak-shifting energy storage battery according to the predicted voltage curve and capacity of the peak-shifting energy storage battery; determining the charging and discharging strategy of the energy storage system of the tower base station according to the adjustable load and the dischargeable time.

[0035] Through the embodiments of the present disclosure, the charging and discharging strategy is determined based on the predicted load curve of the tower base station and the predicted voltage curve of the off-peak energy storage battery, and the charging and discharging behavior of the energy storage system is dynamically adjusted to improve energy utilization efficiency and reduce electricity costs.

[0036] On the basis of the above embodiments, the energy storage system charging and discharging strategy of the tower base station is determined according to the adjustable load and the dischargeable time, including: determining whether the large-scale tower base station needs to participate in load scheduling during the peak period according to the adjustable load; the large-scale tower base station includes at least two tower base stations; in response to the tower base station needing to participate in load scheduling, the energy storage system charging and discharging strategy of the tower base station is determined according to the peak and valley periods, the adjustable load and the dischargeable time.

[0037] In this embodiment, according to the load reduction instructions required by the dispatching or load management center (for example, how much total load in which time period), combined with the estimated status of each tower base station in the next 2 hours, a load adjustment plan is formulated, that is, how much the load of each tower is reduced and how long it is reduced. The purpose of optimized scheduling is to accurately evaluate the load adjustment capability of each tower base station, and finally form an overall adjustable load plan for the tower base station, and then formulate a load control strategy in combination with the corresponding load subsidy policy of the provincial dispatching, or formulate a control strategy in accordance with the price trend of the electricity spot market.

[0038] It should be noted that it is not very meaningful for a small number of tower base stations to participate in load regulation. However, a large number of tower resources are gathered. For example, if there are nearly 15,000 tower base stations connected, 26MW of adjustable load can be gathered. A large number of adjustable tower base station load resources can participate in peak shaving at critical times to ensure the stability of the power grid. When the virtual power plant needs to adjust the power supply, the tower base station adjusts its load or the charging and discharging status of the energy storage system according to the dispatching instructions. During the execution process, it ensures that the communication service of the base station is not affected, while meeting the stability and reliability requirements of the power system. According to the changes in real-time data and power grid status, the operation strategy of the tower base station is dynamically adjusted to respond to emergencies such as power grid failures and extreme weather, and quickly adjust the load and energy storage system status of the base station.

[0039] Through the embodiments of the present disclosure, by collecting and accessing the base station power distribution system data, digital display and data analysis are carried out, and logical control is carried out based on the local edge computing of the base station, remote centralized monitoring and energy-saving control of the base station are realized, and the demand response and auxiliary service market are responded to in a timely manner; by judging whether the tower base station needs to participate in load scheduling based on the adjustable load and the dischargeable time, the charging and discharging strategies can be coordinated according to the load requirements of multiple tower base stations, and coordinated scheduling between large-scale base stations is realized, and energy storage batteries are effectively used to reduce the difference between power peaks and valleys, thereby improving the efficiency of overall energy scheduling.

[0040] On the basis of the above embodiment, the charging and discharging strategy of the energy storage system of the tower base station is determined according to the peak and valley time periods, the adjustable load and the dischargeable time, including: in response to the current time period being the valley time period, the off-peak energy storage battery is charged by the AC mains; the load is powered by the AC mains; the off-peak energy storage battery is installed in the computer room of the tower base station; in response to the current time period being the peak time period, the load is powered by the off-peak energy storage battery according to the adjustable load and the dischargeable time; in response to the current time period being the normal time period, the load is powered by the AC mains; the off-peak energy storage battery is on standby.

[0041] Through the embodiments of the present disclosure, by adjusting the power supply strategy of AC mains and peak-shifting energy storage batteries according to different time periods (peak, valley, and flat), since the energy storage batteries can be charged during valley periods and the load is adjusted by battery power supply during peak periods, the effect of peak shaving and valley filling and reducing power waste is achieved, thereby improving the stability and economy of the power grid.

[0042] On the basis of the above embodiment, the peak-shifting energy storage battery is charged by using AC mains power, including: determining the floating charge voltage of the peak-shifting energy storage battery according to the length of the valley period and the capacity of the peak-shifting energy storage battery.

[0043] In an embodiment, the peak-shaving response of the tower can rely on the remote control function of its own dynamic ring FSU (Field Service Unit, which refers to a field service unit used for on-site maintenance and management of industrial, communication or other professional equipment) to achieve a reduction in power load on the DC side and the AC side. Among them, the DC side load reduction mainly refers to the remote lowering of the floating charge voltage of the switching power supply by issuing the remote capacity control function of the battery, so that the power supply mode of the main equipment is changed from the state grid AC power to the battery discharge, thereby achieving a load reduction. The AC load reduction is mainly achieved by sending the remote air conditioning shutdown function through the air-conditioning controller to achieve a reduction in the state grid load. During the response period, as long as the external mains power supply is in a normal power supply state, after the battery voltage drops to the threshold, the site will automatically switch to external mains power supply, and there will be no risk of station disconnection.

[0044] Through the embodiments of the present disclosure, the floating charge voltage is determined according to the length of the valley period and the battery capacity. Since the charging voltage and charging time can be accurately controlled, the stability and reliability of the charging and discharging processes are improved, and the load regulation cannot be performed during the peak period.

[0045] On the basis of the above embodiment, according to the adjustable load and the dischargeable time, the load is powered by the peak-shifting energy storage battery, and then it also includes: turning off the air conditioner in the tower base station room.

[0046] Through the embodiments of the present disclosure, the air conditioner in the tower base station room is turned off after the battery is powered. Since the air conditioner consumes a lot of electricity, turning off the air conditioner can save electricity. Therefore, the method at least partially solves the problem of imbalance between electricity supply and demand during peak hours, and achieves the technical effect of reducing the air conditioning load and improving the efficiency of the energy storage system, thereby further improving energy utilization.

[0047] Based on the above-mentioned tower base station control method, the present disclosure also provides a tower base station control device. Figure 2 The device is described in detail. Figure 2 As shown, the control device of the tower base station of this embodiment includes a data acquisition module and a peak-shifting energy storage module.

[0048] The data acquisition module is used to determine the load characteristics of the tower base station according to the equipment information of the tower base station; the load characteristics include at least one of peak and valley time periods, meteorological data, and electrical data. In one embodiment, the data acquisition module can be used to perform the operation S1 described above, which will not be repeated here.

[0049] The peak-shifting energy storage module is used to determine the charging and discharging strategy of the energy storage system of the tower base station based on the load characteristics; the energy storage system at least includes a peak-shifting energy storage battery; the peak-shifting energy storage battery is used to dispatch the tower base station to perform peak shaving and valley filling; the charging and discharging strategy of the energy storage system at least includes the charging and discharging time and power of the peak-shifting energy storage battery. In one embodiment, the peak-shifting energy storage module can be used to perform the operation S2 described above, which will not be repeated here.

[0050] Figure 3 The schematic diagram of the peak-shifting energy storage module of the tower base station according to the embodiment of the present disclosure is schematically shown; Figure 3 As shown in the figure, a set of energy storage batteries is added to the original machine room, and the platform is used to manage and control the charging and discharging of the energy storage batteries on a regular basis; during valley period: the AC mains supplies power to the load and charges the lithium battery at the same time; during peak period: the AC mains does not supply power to the load, and the lithium battery pack supplies power to the load; during normal period: the AC mains only supplies power to the load, and the lithium battery is in a standby state, neither charging nor discharging; the controller collects the operating status of the energy storage battery and the DC meter in real time and uploads the data to the cloud platform through the built-in 4G communication module to realize the charging and discharging management and intelligent maintenance of the energy storage battery. The device is suitable for scenarios where the base station has a switching power supply and sufficient power terminals. It can reduce the city electricity fee and increase the standby power duration by timing the battery charging and discharging to reduce the peak and fill the valley. After adding the peak-shifting energy storage battery in the base station, the added energy storage system increases the standby power duration of the base station, thereby reducing the use of the original base station standby battery. During the use of each set of peak-shifting energy storage system, the service life of the original base station standby battery can be extended and the update frequency can be reduced. In the mode where there is no need to invest in the purchase of standby batteries in the later stage, the standby power duration of the base station is increased. The fully charged battery pack has a backup capacity of no less than 5 hours and can be used as a virtual battery to respond to planned power outages. Especially during planned power outages and emergency periods, it can significantly reduce power generation costs and workload.

[0051] Through the embodiments of the present disclosure, the tower base station has the technology of aggregate management and optimized control, which solves the core system problem of base station equipment accessing the energy storage system to ensure continuous power supply to the base station. It can serve as a backup power supply to the base station to handle power supply anomalies or failures, thereby improving energy stability.

[0052] Figure 4 A block diagram of an electronic device suitable for implementing a control method of an iron tower base station according to an embodiment of the present disclosure is schematically shown.

[0053] like Figure 4As shown, the electronic device 400 according to an embodiment of the present disclosure includes a processor 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage part 408 to a random access memory (RAM) 403. The processor 401 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 401 may also include an onboard memory for caching purposes. The processor 401 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0054] In RAM 403, various programs and data required for the operation of electronic device 400 are stored. Processor 401, ROM 402 and RAM 403 are connected to each other via bus 404. Processor 401 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 402 and / or RAM 403. It should be noted that the program can also be stored in one or more memories other than ROM 402 and RAM 403. Processor 401 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0055] According to an embodiment of the present disclosure, the electronic device 400 may further include an input / output (I / O) interface 405, which is also connected to the bus 404. The electronic device 400 may further include one or more of the following components connected to the I / O interface 405: an input portion 406 including a keyboard, a mouse, etc.; an output portion 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 408 including a hard disk, etc.; and a communication portion 409 including a network interface card such as a LAN card, a modem, etc. The communication portion 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage portion 408 as needed.

[0056] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0057] The embodiment of the present disclosure also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method provided by the embodiment of the present disclosure.

[0058] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0059] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0060] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0061] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A control method for a tower base station, characterized in that: include: Determine the load characteristics of the tower base station according to the equipment information of the tower base station; the load characteristics at least include the predicted load curve of the tower base station and the predicted voltage curve of the peak-shifting energy storage battery; Based on the load characteristics, the charging and discharging strategy of the energy storage system of the tower base station is determined; the energy storage system includes at least a peak-shifting energy storage battery; the peak-shifting energy storage battery is used to dispatch the tower base station to perform peak shaving and valley filling; the charging and discharging strategy of the energy storage system includes at least the charging and discharging time and power of the peak-shifting energy storage battery.

2. The method according to claim 1, wherein: Determining the load characteristics of the tower base station according to the equipment information of the tower base station includes: The equipment information is collected through the intelligent terminal of the tower base station; the equipment information includes at least one of the base station name, marketing account number, contact person, contact number, total current, total active power, power curve, circuit breaker switch status, ambient temperature curve, ambient humidity and peak and valley time period; The device information is input into a trained battery prediction model to obtain the load characteristics; the battery prediction model is configured to be able to input device information and output a predicted load curve and a predicted voltage curve.

3. The method according to claim 1, wherein: The step of determining a charging and discharging strategy of an energy storage system of a tower base station based on the load characteristics includes: According to the predicted load curve of the tower base station, the adjustable load of the tower base station and the capacity of the peak-shifting energy storage battery are determined; the capacity of the peak-shifting energy storage battery is equal to the consumption load of the tower base station during the peak period; Determining the dischargeable time of the peak-shifting energy storage battery according to the predicted voltage curve and capacity of the peak-shifting energy storage battery; The charging and discharging strategy of the energy storage system of the tower base station is determined according to the adjustable load and the dischargeable time.

4. The method according to claim 3, wherein: Determining a charging and discharging strategy of an energy storage system of a tower base station according to the adjustable load and the dischargeable time includes: According to the adjustable load, determining whether a large-scale iron tower base station needs to participate in load scheduling during a peak period; the large-scale iron tower base station includes at least two iron tower base stations; In response to the need for the tower base station to participate in load scheduling, the charging and discharging strategy of the energy storage system of the tower base station is determined according to the peak and valley periods, adjustable loads and dischargeable time.

5. The method according to claim 4, wherein: Determining the charging and discharging strategy of the energy storage system of the tower base station according to the peak and valley time periods, adjustable loads and dischargeable time includes: In response to the current time period being a valley time period, using AC mains to charge the peak-shifting energy storage battery; using AC mains to power the load; the peak-shifting energy storage battery is installed in a machine room of a tower base station; In response to the current time period being a peak time period, the load is supplied with power by the peak-shifting energy storage battery according to the adjustable load and the dischargeable time; In response to the current period being a normal period, the load is powered by AC mains power; and the peak-shifting energy storage battery is in standby mode.

6. The method according to claim 5, wherein: The method of charging the peak-shifting energy storage battery by using AC mains power includes: The floating charge voltage of the peak-shifting energy storage battery is determined according to the length of the valley period and the capacity of the peak-shifting energy storage battery.

7. The method according to claim 5, wherein: The method further comprises: supplying power to the load by using the peak-shifting energy storage battery according to the adjustable load and the dischargeable time; and then: Turn off the air conditioning in the tower base station room.

8. A control device for a tower base station, characterized in that: The device can be used to implement the method according to any one of claims 1 to 7, and the device comprises: A data acquisition module, used to determine the load characteristics of the tower base station according to the equipment information of the tower base station; the load characteristics include at least one of peak and valley time periods, meteorological data, and electrical data; The peak-shifting energy storage module is used to determine the charging and discharging strategy of the energy storage system of the tower base station based on the load characteristics; the energy storage system at least includes a peak-shifting energy storage battery; the peak-shifting energy storage battery is used to dispatch the tower base station to perform peak shaving and valley filling; the charging and discharging strategy of the energy storage system at least includes the charging and discharging time and power of the peak-shifting energy storage battery.

9. An electronic device, comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are enabled to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to execute the method according to any one of claims 1 to 7.

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