MPPT-based 5G base station multi-source cooperative power supply control system

Abstract

The invention discloses a 5G base station multi-source cooperative power supply control system based on MPPT, and relates to the technical field of power supply control. Comprising an energy input module, an MPPT controller, a power conversion module, an energy storage module, a multi-source cooperative control module, a 5G base station, an environment sensor, a communication monitoring module and a standby power supply. Wherein the energy input module, the MPPT controller, the power conversion module, the energy storage module, the multi-source cooperative control module and the 5G base station are connected in sequence, the environment sensor is connected with the MPPT controller, the MPPT controller is further connected with the communication monitoring module, and the standby power supply is connected with the multi-source cooperative control module. Through intelligent MPPT and multi-source cooperative control management, the power supply reliability and energy efficiency of the 5G base station are remarkably improved, and a new thought is provided for green construction of a 5G network.

Description

Technical Field

[0001] The present invention relates to the field of power supply control technology, and in particular to a 5G base station multi-source collaborative power supply control system based on MPPT. Background Art

[0002] As the high energy consumption of 5G base stations becomes increasingly prominent, traditional mains electricity supply models face the dual pressures of cost and carbon emissions. Existing photovoltaic power supply systems used in communication base stations have certain drawbacks. In low light conditions or in inclement weather, the photovoltaic power supply system is unstable, affecting the operation of the communication base stations. Furthermore, it fails to fully utilize solar energy, resulting in a waste of resources and not meeting public expectations. Compared to conventional solar photovoltaic charging systems, the micro-photovoltaic charging control system can charge batteries in low-light conditions even in continuous rainy weather. It is easy to install, requires no cabling, and can overcome road or terrain restrictions.

[0003] Therefore, it is an urgent problem for those skilled in the art to propose a 5G base station multi-source collaborative power supply control system based on MPPT to solve the difficulties existing in the existing technology. Summary of the Invention

[0004] In view of this, the present invention provides a 5G base station multi-source collaborative power supply control system based on MPPT. Through intelligent MPPT and multi-source collaborative control management, it significantly improves the power supply reliability and energy efficiency of the 5G base station, and provides new ideas for the green construction of 5G networks.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A 5G base station multi-source collaborative power supply control system based on MPPT, including: an energy input module, an MPPT controller, a power conversion module, an energy storage module, a multi-source collaborative control module, a 5G base station, an environmental sensor, a communication monitoring module and a backup power supply;

[0007] Among them, the energy input module, MPPT controller, power conversion module, energy storage module, multi-source collaborative control module and 5G base station are connected in sequence;

[0008] Environmental sensors are connected to the MPPT controller;

[0009] The MPPT controller is also connected to the communication monitoring module;

[0010] The backup power supply is connected to the multi-source collaborative control module.

[0011] In the above system, optionally, the energy input module includes: a photovoltaic array and a micro-light enhancement unit;

[0012] Photovoltaic array: uses high-efficiency monocrystalline silicon modules in a series-parallel structure, integrated with sunlight tracking sensors and tilt-adjustable brackets to improve energy capture efficiency in low-light conditions;

[0013] Low-light enhancement unit: Integrates a light intensity sensor and reflector group to improve the light energy capture rate under low-light conditions.

[0014] In the above system, the MPPT controller algorithm optionally adopts a combination of traditional P&O method, curve fitting and incremental conductance method to balance tracking speed and accuracy, and predicts power change trend through LSTM network when the light changes suddenly, thereby improving dynamic response speed.

[0015] The above system optionally has a power conversion module that uses a synchronous buck-boost circuit with a voltage input range of 5V-40V and a stable voltage output that is the voltage of the energy storage module battery pack.

[0016] In the above system, optionally, the energy storage module includes: an energy storage unit and an inverter unit;

[0017] The energy storage unit uses lithium iron phosphate battery pack to store electrical energy;

[0018] The AC power is output through the inverter unit.

[0019] The above system optionally includes a multi-source collaborative control module that adjusts the power supply strategy according to the base station load demand;

[0020] The battery scheduling strategy of SOC is used to adjust the power supply mode, as follows:

[0021] When SOC ≥ 50% of the base station demand, solar power supply is used;

[0022] When 20% of base station demand < SOC < 50% of base station demand, a hybrid power supply of solar energy and batteries is adopted;

[0023] When SOC is less than or equal to 20% of the base station demand and the duration exceeds the set time threshold, the battery and backup power supply are used for power supply.

[0024] In the above system, optionally, the environmental sensors include: a temperature sensor, a humidity sensor and a photoelectric sensor.

[0025] In the above system, optionally, the communication monitoring module is used to monitor MPPT efficiency, battery SOC, base station power consumption and base station environmental abnormalities;

[0026] When the battery SOC is lower than the set threshold, the MPPT efficiency is lower than the set threshold, or the base station environment is abnormal, an alarm is triggered;

[0027] Abnormal data transmission via MQTT over 5G NSA.

[0028] It can be seen from the above technical solution that compared with the existing technology, the present invention provides a 5G base station multi-source collaborative power supply control system based on MPPT, which has the following beneficial effects: 1. Through intelligent MPPT and multi-source collaborative control management, the power supply reliability and energy efficiency of the 5G base station are significantly improved; 2. It can extend the off-grid operation time of the 5G base station in the scenario without mains power, and can achieve millisecond-level fault response, which is suitable for remote scenarios such as mountainous areas and seas; 3. It improves energy utilization, reduces operating costs, and provides technical support for the construction of green communication infrastructure; 4. It can overcome the impact of insufficient light and severe weather conditions on power supply, and adopt different charging modes according to different weather environments and battery conditions to maintain the stability and efficiency of power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0030] Figure 1 This is a structural diagram of a 5G base station multi-source collaborative power supply control system based on MPPT provided by the present invention. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0032] In this application, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. The terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or apparatus comprising the element.

[0033] The present invention discloses a 5G base station multi-source coordinated power supply control system based on MPPT, referring to Figure 1 As shown, it includes: energy input module, MPPT controller, power conversion module, energy storage module, multi-source collaborative control module, 5G base station, environmental sensor, communication monitoring module and backup power supply;

[0034] Among them, the energy input module, MPPT controller, power conversion module, energy storage module, multi-source collaborative control module and 5G base station are connected in sequence;

[0035] Environmental sensors are connected to the MPPT controller;

[0036] The MPPT controller is also connected to the communication monitoring module;

[0037] The backup power supply is connected to the multi-source collaborative control module.

[0038] Furthermore, the energy input module includes: a photovoltaic array and a micro-light enhancement unit;

[0039] Photovoltaic array: uses high-efficiency monocrystalline silicon modules with an operating voltage range of 30-50V. The monocrystalline silicon modules adopt a series-parallel structure and integrate sunlight tracking sensors and tilt-adjustable brackets to improve energy capture efficiency in low-light conditions.

[0040] Photovoltaic arrays can use single crystal silicon, polycrystalline silicon, or amorphous silicon thin film;

[0041] Monocrystalline silicon: The photoelectric conversion efficiency is typically above 15%, and the conversion efficiency of high-efficiency monocrystalline cells can even reach 23% to 24%. Monocrystalline silicon easily absorbs moisture in high-temperature and high-humidity environments, leading to the formation of tiny voids such as hydrogen, which in turn affects its electrical properties and reliability. Moisture-proof measures such as air drying and vacuum packaging are required to ensure stable performance.

[0042] Polycrystalline silicon: Photoelectric conversion efficiency is typically between 15% and 20%. Polycrystalline silicon films are relatively adaptable to humidity, but appropriate protective measures must still be taken in high-temperature and high-humidity environments.

[0043] Amorphous silicon film: Photoelectric conversion efficiency is 5% to 9%. Amorphous silicon film has relatively good adaptability to humidity, but its performance may still be affected to a certain extent, especially in high temperature and high humidity environments. Necessary protective measures must be taken during application.

[0044] Monocrystalline silicon solar cells perform well in all aspects, especially in high and low temperature environments, and have high performance stability. Monocrystalline silicon also has high photoelectric conversion efficiency and long service life. In summary, the photovoltaic array in the present invention uses monocrystalline silicon.

[0045] Low-light enhancement unit: Integrates a light intensity sensor (0-200kLux) and a reflector group. Based on the light intensity sensor, the reflector group enhances the light reflection and improves the light energy capture rate under low-light conditions.

[0046] Furthermore, the MPPT controller generally uses a low-power MCU. In the present invention, the STM32H743 chip is used, which integrates high-precision ADC and PWM;

[0047] The MPPT controller algorithm combines the traditional P&O method, curve fitting, and incremental conductance method to balance tracking speed and accuracy. When the illumination changes suddenly, the LSTM network is used to predict the power change trend, thereby improving the dynamic response speed.

[0048] The traditional P&O method, also known as the perturbation and observation method, is a commonly used method in MPPT. It determines the maximum power point by continuously perturbing the operating point of the photovoltaic system and observing the power changes. The advantage is that it is simple and easy to implement, but the disadvantage is that it may oscillate when the light changes rapidly, or it is not efficient near the maximum power point. The traditional P&O method is prone to falling into local optimality.

[0049] Incremental Conductance is another MPPT algorithm that determines the operating point by comparing the incremental conductance with the instantaneous conductance, thereby adjusting the voltage direction. This method is relatively accurate and has a fast response speed under steady-state conditions, but it can be computationally intensive in rapidly changing environments and requires high sensor accuracy.

[0050] The CF-P&O-INC algorithm proposed in this paper combines curve fitting with the incremental conductance method (INC). When rapid changes in light or temperature are detected, it switches to the incremental conductance method, which has a better dynamic response. When the light or temperature is stable, curve fitting is used to reduce P&O oscillations. The curve fitting results are used to predict the direction of P&O disturbances, which can reduce the number of unnecessary disturbances and improve efficiency. When the light changes suddenly, the LSTM network is used to predict the power change trend, improving the dynamic response speed and improving the tracking efficiency by 15% compared with traditional methods.

[0051] Furthermore, the power conversion module adopts a synchronous buck-boost circuit with a voltage input range of 5V-40V, which can adapt to photovoltaic output as low as 5V in dim light, and the voltage output is stable at the voltage of the energy storage module battery pack.

[0052] Furthermore, the energy storage module includes: an energy storage unit and an inverter unit;

[0053] The energy storage unit uses a 48V lithium iron phosphate battery pack (48V / 100Ah, supporting 2000 cycles) to store electrical energy. To cope with the instantaneous peak load of the 5G base station, a transient buffer is also provided: a supercapacitor module (100F).

[0054] Output 220V±2% AC power through the inverter unit.

[0055] Furthermore, the multi-source collaborative control module adjusts the power supply strategy according to the load demand of the base station;

[0056] The battery scheduling strategy of SOC is used to adjust the power supply mode, as follows:

[0057] When SOC ≥ 50% of the base station demand, solar power supply is used;

[0058] When 20% of base station demand < SOC < 50% of base station demand, a hybrid power supply of solar energy and batteries is adopted;

[0059] When SOC is less than or equal to 20% of the base station demand and the duration exceeds the set time threshold, the battery and backup power supply are used for power supply;

[0060] The base station automatically enters energy-saving mode at night and reduces the RF power (for example, from 80W to 30W).

[0061] Furthermore, the environmental sensors include: a temperature sensor, a humidity sensor and a photoelectric sensor.

[0062] Furthermore, the communication monitoring module is used to monitor MPPT efficiency, battery SOC, base station power consumption, and base station environmental anomalies;

[0063] When the battery SOC is lower than the set threshold, the MPPT efficiency is lower than the set threshold, or the base station environment is abnormal, an alarm is triggered;

[0064] Abnormal data transmission via MQTT over 5G NSA.

[0065] In a specific embodiment, a simulated lighting experimental platform (SolarSim 9000) was built to compare the performance of the control system of the present invention in different scenarios. The experimental results show that the control system of the present invention can achieve a comprehensive energy efficiency of more than 85% in a 200Lux low-light environment. Through intelligent MPPT and multi-source collaborative control management, the off-grid operation time of the 5G base station in a scenario without mains power is extended by 40%.

[0066] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple. For relevant parts, refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without expending creative work.

[0067] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A 5G base station multi-source collaborative power supply control system based on MPPT, characterized in that: include: Energy input module, MPPT controller, power conversion module, energy storage module, multi-source collaborative control module, 5G base station, environmental sensor, communication monitoring module and backup power supply; Among them, the energy input module, MPPT controller, power conversion module, energy storage module, multi-source collaborative control module and 5G base station are connected in sequence; Environmental sensors are connected to the MPPT controller; The MPPT controller is also connected to the communication monitoring module; The backup power supply is connected to the multi-source collaborative control module.

2. A 5G base station multi-source coordinated power supply control system based on MPPT according to claim 1, characterized in that: The energy input module includes: photovoltaic array and micro-light enhancement unit; Photovoltaic array: uses high-efficiency monocrystalline silicon modules in a series-parallel structure, integrated with sunlight tracking sensors and tilt-adjustable brackets to improve energy capture efficiency in low-light conditions; Low-light enhancement unit: Integrates a light intensity sensor and reflector group to improve the light energy capture rate under low-light conditions.

3. The MPPT-based 5G base station multi-source coordinated power supply control system according to claim 1, characterized in that: The MPPT controller algorithm combines the traditional P&O method, curve fitting, and incremental conductance method to balance tracking speed and accuracy. When the illumination changes suddenly, the LSTM network is used to predict the power change trend and improve the dynamic response speed.

4. The MPPT-based 5G base station multi-source coordinated power supply control system according to claim 1, characterized in that: The power conversion module adopts a synchronous buck-boost circuit with a voltage input range of 5V-40V and a stable voltage output equal to the battery pack voltage of the energy storage module.

5. The 5G base station multi-source coordinated power supply control system based on MPPT according to claim 1 is characterized in that: The energy storage module includes: an energy storage unit and an inverter unit; The energy storage unit uses lithium iron phosphate battery pack to store electrical energy; The AC power is output through the inverter unit.

6. The MPPT-based 5G base station multi-source coordinated power supply control system according to claim 1, characterized in that: Multi-source collaborative control module adjusts the power supply strategy according to the base station load demand; The battery scheduling strategy of SOC is used to adjust the power supply mode, as follows: When SOC ≥ 50% of the base station demand, solar power supply is used; When 20% of base station demand < SOC < 50% of base station demand, a hybrid power supply of solar energy and batteries is adopted; When SOC is less than or equal to 20% of the base station demand and the duration exceeds the set time threshold, the battery and backup power supply are used for power supply.

7. The MPPT-based 5G base station multi-source coordinated power supply control system according to claim 1, characterized in that: Environmental sensors include: temperature sensors, humidity sensors and photoelectric sensors.

8. The MPPT-based 5G base station multi-source coordinated power supply control system according to claim 1, characterized in that: The communication monitoring module is used to monitor MPPT efficiency, battery SOC, base station power consumption, and base station environmental anomalies; When the battery SOC is lower than the set threshold, the MPPT efficiency is lower than the set threshold, or the base station environment is abnormal, an alarm is triggered; Abnormal data transmission via MQTT over 5G NSA.

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