CN121036177A - A smart energy supply system and method based on the coupling of photovoltaic and wind power on highways - Google Patents

Abstract

This application provides an intelligent energy supply system and method based on the coupling of photovoltaic and wind power on highways, belonging to the field of highway energy supply technology. The system includes a power generation module, an energy conversion and storage module, an intelligent control module, and a load management module. The power generation module includes a photovoltaic panel array and a wind turbine; the energy conversion and storage module includes an inverter and an energy storage battery pack; the load management module includes highway facility loads, a grid-connected inverter, and a load manager; and the intelligent control module includes a sensor network and a central controller. This invention, through the coupling of photovoltaic and wind power and combined with an intelligent control system, achieves efficient energy collection, storage, and distribution; reduces dependence on the traditional power grid, reduces energy consumption and carbon emissions, and improves power supply stability and energy utilization efficiency.

Description

Intelligent energy supply system and method based on coupling of expressway photovoltaic and wind energy

Technical Field

The application belongs to the technical field of expressway energy supply, and particularly relates to an intelligent energy supply system and method based on expressway photovoltaic and wind energy coupling.

Background

Expressways are an important component of modern traffic and their operation relies on a large energy supply to maintain the proper operation of the infrastructure for lighting, monitoring, communications, etc. At present, the energy supply of the expressway mainly depends on a traditional power grid, so that a large amount of conventional energy is consumed, and the power grid in a remote area is high in laying cost and poor in power supply stability. In addition, the dependence of the traditional power grid also brings the problems of high carbon emission, low energy efficiency and the like.

The expressway has abundant solar energy and wind energy resources along the line, but the existing energy utilization mode is mostly single photovoltaic or wind power generation, and the complementary advantages of the two energy sources can not be fully exerted. For example, photovoltaic power generation is efficient when the light is sufficient in the daytime, but the power generation amount is significantly reduced at night or in the cloudy day, and wind power generation may perform better at night or when the wind is large. The existing single energy system cannot dynamically adjust the energy supply strategy according to environmental changes, so that the energy utilization efficiency is low, and the stable power supply requirement of the expressway is difficult to meet.

Therefore, development of an intelligent energy supply system capable of efficiently coupling photovoltaic and wind energy is needed, natural resources along a highway are fully utilized, efficient collection, storage and distribution of energy are achieved, and accordingly stability and sustainability of energy supply are improved.

Disclosure of Invention

In a first aspect, an embodiment of the present application provides an intelligent energy supply system based on coupling of highway photovoltaic and wind energy, including a power generation module, an energy conversion and storage module, an intelligent control module, and a load management module;

The power generation module comprises a photovoltaic panel array and a wind driven generator, wherein the photovoltaic panel array is arranged in an illumination acquisition area of the expressway through an angle adjusting mechanism to convert solar energy into direct current;

The energy conversion and storage module comprises an inverter and an energy storage battery pack, wherein the inverter converts direct current output by the photovoltaic panel array and the wind driven generator into alternating current;

the load management module comprises a highway facility load, a grid-connected inverter and a load manager, wherein the highway facility load works by providing power supply through the inverter or the energy storage battery pack;

The intelligent control module comprises a sensor network and a central controller, wherein the sensor network collects the environmental data of the expressway, the central controller dynamically adjusts the angle of the photovoltaic array and the working state of the wind driven generator according to the environmental data of the expressway to perform optimal coupling power generation control of photovoltaic and wind energy, the central controller regulates and controls the load power consumption of expressway facilities according to the environmental data of the expressway, and the central controller controls the charging and discharging strategy of the energy storage battery pack and controls the process of feeding back the residual electric energy to the power grid by the grid-connected inverter.

Further, the illumination collection area comprises a separation belt, a side slope and a service area roof.

Further, the highway facility load includes a lighting device, a monitoring device, and a communication device.

Further, the sensor network comprises an illumination sensor, a wind speed sensor and a temperature sensor.

In a second aspect, an embodiment of the present application further provides an intelligent energy supply method based on coupling of expressway photovoltaic and wind energy, where the intelligent energy supply system based on coupling of expressway photovoltaic and wind energy according to the first aspect is adopted, and the method includes the following steps:

s1, a central controller collects environmental data through a sensor network;

S2, dynamically adjusting the angle of the photovoltaic array and the working state of the wind driven generator by the central controller according to the environmental data, and realizing optimal coupling power generation control of the photovoltaic and wind energy;

S3, the central controller regulates and controls the load electricity consumption of facilities of the expressway according to the environmental data of the expressway;

S4, the central controller performs charge and discharge strategies according to the energy storage battery pack;

S5, the central controller controls the process of feeding back the residual electric energy to the power grid by the grid-connected inverter.

Further, the specific steps of step S1 are as follows:

s11, collecting illumination intensity along the expressway through an illumination sensor Wind speed is acquired by a wind speed sensorAnd wind directionAmbient temperature is collected by a temperature sensor;

S12, acquiring the traffic flow per minute through a traffic flow detectorAnd average vehicle speed;

S13, acquiring a current time stamp through a clock moduleAnd seasonal parameters;

S14, constructing an environment data matrix:

;

S15, the sensor network uses the industrial Ethernet to matrix the environmental dataTransmitted to a central controller.

Further, the specific steps of step S2 are as follows:

s21, the central controller is used for generating a matrix according to the environmental data Intensity of illumination in (a)And a current timestampCalculating an optimal tilt angle of a photovoltaic panel:

;

Wherein, the For the local latitude to be a local latitude,Is the declination angle of the sun,Is the solar time angle;

S22, generating a photovoltaic panel inclination angle control instruction And the angle adjusting mechanism sends the photovoltaic panel to adjust the photovoltaic panel to the optimal inclination angle;

S23, according to wind speedAnd preset wind speed threshold valueIs a relationship controlling wind power generator:

If it is Starting the wind driven generator and executing a maximum power point tracking algorithmThe rotating speed of the wind driven generator is adjusted in real time through a disturbance observation method;

If it is Controlling the wind driven generator to enter a standby state;

s24, collecting photovoltaic power generation power in real time And wind power generation powerCalculating the total power。

Further, the specific steps of step S3 are as follows:

s31, according to the current time stamp in the environment data matrix Traffic flow rateA preset first flow thresholdAnd a second flow thresholdCalculating the illumination brightness adjustment coefficient;

S32, adjusting the coefficient according to the brightnessGenerating a lighting control instruction, controlling the brightness of the lighting equipment by using the lighting instruction, and controlling the brightness of the lighting equipment to be increased to rated powerDoubling;

S33, according to the traffic flow Adjusting the working mode of the monitoring equipment:

If it is Switching the monitoring equipment to an energy-saving mode;

If it is Switching the monitoring equipment to a normal mode;

S34, according to the traffic flow Communication power dynamic allocation is carried out on the communication equipment:

Wherein, the Is the reference communication power and,Is the adjusted communication power;

and S35, when an emergency event is detected, performing load priority control.

Further, the specific steps of step S4 are as follows:

s41, acquiring the state of charge of the energy storage battery pack Total power generationTotal power of loadHealth status;

S42, calculating the charge and discharge power demand:

Wherein, the Is the charge and discharge power of the battery,Is the maximum charging power of the battery,,,Is the maximum power of the discharge and,A current value of C-rate, 1c=battery 1 hour full/empty;

s43, performing charge and discharge by adopting a double closed-loop control strategy:

voltage outer loop: ;

Inner loop of current: ;

Wherein, the Is a reference value for the voltage and,Is the SOC target value and,Is the ratio coefficient of the voltage loop,Is the voltage loop integral coefficient, t is the time variable,Is the current command value and is set to be a current command value,Is the value of the voltage of the battery,Is the ratio coefficient of the current loop,Is the current loop integral coefficient;

S44, when the battery temperature is Exceeding a preset temperature thresholdAt the time, overheat protection is started:

s45, updating a battery health state model:

Wherein, the Is a new state of health, and is a new state of health,Is the original state of health of the patient,Is a preset coefficient of the number of the coefficients,Is a charge-discharge current command.

Further, the specific steps of step S5 are as follows:

s51, when the energy storage battery pack And is also provided withTriggering an energy feedback condition;

S52, calculating power which can be fed back to a power grid:

Wherein, the Is the voltage of the battery and,Is a charge-discharge current instruction;

s53, detecting the state of a power grid:

if the power grid frequency Belonging to a preset frequency range and having voltage fluctuationThen executing grid connection; Is the nominal voltage of the power grid;

S54, connecting the grid-connected inverter And feeding back to the power grid, monitoring the state of the power grid in real time, and immediately disconnecting the grid connection if the state exceeds a preset frequency range.

From the above technical scheme, the application has the following advantages:

According to the intelligent energy supply system and method based on coupling of the expressway photovoltaic and the wind energy, the efficient collection, storage and distribution of expressway energy are achieved through coupling of the photovoltaic and the wind energy and intelligent control, the power generation and power utilization strategies can be dynamically adjusted according to environmental conditions, the energy utilization efficiency is improved, dependence on a traditional power grid is reduced, carbon emission is reduced, and normal operation of expressway infrastructure can be effectively guaranteed.

Drawings

In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of an intelligent energy supply system based on coupling of highway photovoltaics and wind energy according to the present invention.

Fig. 2 is a schematic flow chart of the intelligent energy supply method based on coupling of expressway photovoltaic and wind energy.

Detailed Description

Various embodiments of the present disclosure will be described more fully in the following detailed description of an intelligent energy supply system based on coupling of highway photovoltaics with wind energy. The present disclosure is capable of various embodiments and of modifications and variations therein. It should be understood, however, that there is no intent to limit the various embodiments of the present disclosure to the particular embodiments disclosed herein, but rather, the present disclosure is to be construed to cover all modifications, equivalents, and/or alternatives falling within the spirit and scope of the various embodiments of the present disclosure.

For example, in modern traffic systems, highways play a critical role, and their daily operation requires a lot of energy to ensure stable operation of infrastructure for lighting, monitoring, communication, etc. At present, the energy sources of the expressways are mainly taken from the traditional power grid, so that the mode consumes a large amount of conventional energy sources, the construction cost of the power grid is high in remote sections, and the stability of power supply is difficult to guarantee. In addition, the excessive dependence on the traditional power grid also causes a series of problems of large carbon emission, low energy utilization efficiency and the like.

Meanwhile, the expressway contains abundant solar energy and wind energy resources along the line. However, current forms of energy utilization are mostly limited to single photovoltaic or wind power generation, failing to fully exploit the potential of both energy sources to complement each other. For example, photovoltaic power generation can generate power with high efficiency under good illumination conditions in the daytime, the power generation capacity can be drastically reduced in the night or in the cloudy days, and wind power generation is more advantageous at night or in strong wind power. The existing single energy system cannot adjust the energy supply strategy in real time according to the environmental change, so that the energy utilization efficiency is low, the stable power supply of the expressway is difficult to ensure, and the daily operation requirement of the expressway is met. Based on the above, there is an urgent need to develop an intelligent energy supply system capable of efficiently integrating photovoltaic and wind energy, fully utilizing natural resources along the expressway, achieving efficient collection, storage and distribution of energy, further improving stability and sustainability of energy supply, and assisting the green and stable operation of the expressway.

Aiming at the problems, the embodiment provides the intelligent energy supply system based on coupling of the photovoltaic and wind energy of the expressway, which combines the intelligent control system to realize efficient collection, storage and distribution of energy, reduces the dependence on the traditional power grid, reduces the energy consumption and the carbon emission, and improves the power supply stability and the energy utilization efficiency.

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1, a schematic diagram of an intelligent energy supply system based on coupling of highway photovoltaic and wind energy in an embodiment is shown, where the system includes a power generation module, an energy conversion and storage module, an intelligent control module, and a load management module;

The power generation module comprises a photovoltaic panel array and a wind driven generator, wherein the photovoltaic panel array is arranged in an illumination acquisition area of the expressway through an angle adjusting mechanism to convert solar energy into direct current;

The energy conversion and storage module comprises an inverter and an energy storage battery pack, wherein the inverter converts direct current output by the photovoltaic panel array and the wind driven generator into alternating current;

the load management module comprises a highway facility load, a grid-connected inverter and a load manager, wherein the highway facility load works by providing power supply through the inverter or the energy storage battery pack;

The intelligent control module comprises a sensor network and a central controller, wherein the sensor network collects the environmental data of the expressway, the central controller dynamically adjusts the angle of the photovoltaic array and the working state of the wind driven generator according to the environmental data of the expressway to perform optimal coupling power generation control of photovoltaic and wind energy, the central controller regulates and controls the load power consumption of expressway facilities according to the environmental data of the expressway, and the central controller controls the charging and discharging strategy of the energy storage battery pack and controls the process of feeding back the residual electric energy to the power grid by the grid-connected inverter.

The intelligent energy supply system is integrated with the power generation module, the energy conversion and storage module, the intelligent control module and the load management module, a complete intelligent energy supply system is built, the cooperative utilization and intelligent management of various energy sources are achieved, the complementary characteristics of solar energy and wind energy are fully utilized through the combination of the photovoltaic panel array and the wind driven generator, the stability and reliability of energy supply are improved, and the intelligent control module can dynamically adjust power generation and power utilization strategies according to environmental data, optimize energy source utilization efficiency and reduce energy waste.

Further, as a refinement and expansion of the specific implementation of the above embodiment, for fully explaining the specific implementation process in the embodiment, another intelligent energy supply system based on coupling of expressway photovoltaic and wind energy is provided, where the system includes a power generation module, an energy conversion and storage module, an intelligent control module and a load management module;

The power generation module comprises a photovoltaic panel array and a wind driven generator, wherein the photovoltaic panel array is arranged in an illumination acquisition area of the expressway through an angle adjusting mechanism to convert solar energy into direct current;

the illumination collection area comprises an isolation belt, a side slope and a service area roof;

illustratively, in a highway project, photovoltaic panel arrays are paved on isolation belts, slopes and service area roofs, the total area is up to 1000 square meters, and annual energy production can reach 100 kilowatts;

The energy conversion and storage module comprises an inverter and an energy storage battery pack, wherein the inverter converts direct current output by the photovoltaic panel array and the wind driven generator into alternating current;

the load management module comprises a highway facility load, a grid-connected inverter and a load manager, wherein the highway facility load works by providing power supply through the inverter or the energy storage battery pack;

The highway facility load comprises lighting equipment, monitoring equipment and communication equipment;

The system comprises a monitoring device, a communication device, a base station and a transmission device, wherein the monitoring device comprises a high-definition camera and a sensor, the total power of the communication device is 50 kilowatts, and the total power of the communication device is 30 kilowatts;

The intelligent control module comprises a sensor network and a central controller, wherein the sensor network collects the environmental data of the expressway, the central controller dynamically adjusts the angle of the photovoltaic array and the working state of the wind driven generator according to the environmental data of the expressway to perform optimal coupling power generation control of photovoltaic and wind energy, and the central controller regulates and controls the load power consumption of expressway facilities according to the environmental data of the expressway;

In a highway project, a photovoltaic panel array is paved on a isolation belt, a side slope and a roof of a service area, the total area is 1000 square meters, the annual energy generation capacity can reach 100 kilowatt hours, wind generators are arranged on two sides of the highway, the power of each fan is 50 kilowatts, and the annual energy generation capacity is about 50 kilowatt hours

The sensor network comprises an illumination sensor, a wind speed sensor and a temperature sensor;

in a certain expressway project, an illumination sensor is arranged near a photovoltaic panel array to monitor illumination intensity in real time, a wind speed sensor is arranged near a wind driven generator to monitor wind speed and wind direction in real time, and a temperature sensor is arranged near an energy storage battery pack to monitor ambient temperature in real time.

As shown in fig. 2, the following is an embodiment of an intelligent energy supply method based on coupling of expressway photovoltaic and wind energy provided by an embodiment of the present disclosure, where the method belongs to the same inventive concept as the intelligent energy supply system based on coupling of expressway photovoltaic and wind energy in the above embodiments, and details of the embodiment of the intelligent energy supply method based on coupling of expressway photovoltaic and wind energy, which are not described in detail, may refer to the above embodiment of the intelligent energy supply system based on coupling of expressway photovoltaic and wind energy.

The method comprises the following steps:

s1, a central controller collects environmental data through a sensor network;

The sensor network is used for collecting multidimensional data such as illumination intensity, wind speed, wind direction, environmental temperature and the like, and comprehensive and accurate data support is provided for subsequent intelligent control;

S2, dynamically adjusting the angle of the photovoltaic array and the working state of the wind driven generator by the central controller according to the environmental data, and realizing optimal coupling power generation control of the photovoltaic and wind energy;

The angle of the photovoltaic panel and the working state of the wind driven generator are dynamically adjusted according to the environmental data, so that optimal coupling power generation of the photovoltaic and wind energy is realized, and the power generation efficiency and the energy utilization efficiency are improved;

S3, the central controller regulates and controls the load electricity consumption of facilities of the expressway according to the environmental data of the expressway;

The brightness of the lighting equipment, the working mode of the monitoring equipment and the power of the communication equipment are dynamically adjusted according to the environmental data and the traffic flow, so that the fine management of the load electricity consumption is realized, and the energy consumption is reduced;

S4, the central controller performs charge and discharge strategies according to the energy storage battery pack;

It is to be noted that, through the double closed-loop control strategy and overheat protection mechanism, the intelligent charge and discharge management of the energy storage battery pack is realized, the service life of the battery is prolonged, and the reliability and safety of the system are improved;

s5, the central controller controls the process of feeding back the residual electric energy to the power grid by the grid-connected inverter;

when the electric quantity of the energy storage battery pack is sufficient and the power consumption requirement of the load is small, the redundant electric energy is fed back to the power grid, so that the bidirectional flow of energy is realized, and the energy utilization efficiency is further optimized.

According to the embodiment, through the operation steps of the intelligent energy supply system, the environment data are collected, the load electricity is regulated and controlled, and then the charging and discharging strategies and the energy feedback of the energy storage battery pack are carried out, so that the efficient and stable operation of the system is ensured.

Further, as a refinement and expansion of the specific implementation of the above embodiment, in order to fully describe the specific implementation process in this embodiment, another intelligent energy supply method based on coupling of expressway photovoltaic and wind energy is provided, and specific steps are as follows:

s1, a central controller collects environmental data through a sensor network;

The specific steps of the step S1 are as follows:

s11, collecting illumination intensity along the expressway through an illumination sensor Wind speed is acquired by a wind speed sensorAnd wind directionAmbient temperature is collected by a temperature sensor;

S12, acquiring the traffic flow per minute through a traffic flow detectorAnd average vehicle speed;

S13, acquiring a current time stamp through a clock moduleAnd seasonal parameters;

S14, constructing an environment data matrix:

;

S15, the sensor network uses the industrial Ethernet to matrix the environmental dataTransmitting to a central controller;

S2, dynamically adjusting the angle of the photovoltaic array and the working state of the wind driven generator by the central controller according to the environmental data, and realizing optimal coupling power generation control of the photovoltaic and wind energy;

the specific steps of the step S2 are as follows:

s21, the central controller is used for generating a matrix according to the environmental data Intensity of illumination in (a)And a current timestampCalculating an optimal tilt angle of a photovoltaic panel:

;

Wherein, the For the local latitude to be a local latitude,Is the declination angle of the sun,Is the solar time angle;

S22, generating a photovoltaic panel inclination angle control instruction And the angle adjusting mechanism sends the photovoltaic panel to adjust the photovoltaic panel to the optimal inclination angle;

S23, according to wind speedAnd preset wind speed threshold valueIs a relationship controlling wind power generator:

If it is Starting the wind driven generator and executing a maximum power point tracking algorithmThe rotating speed of the wind driven generator is adjusted in real time through a disturbance observation method;

If it is Controlling the wind driven generator to enter a standby state;

exemplary, a preset wind speed threshold Taking 3m/s;

s24, collecting photovoltaic power generation power in real time And wind power generation powerCalculating the total power;

S3, the central controller regulates and controls the load electricity consumption of facilities of the expressway according to the environmental data of the expressway;

the specific steps of the step S3 are as follows:

s31, according to the current time stamp in the environment data matrix Traffic flow rateA preset first flow thresholdAnd a second flow thresholdCalculating the illumination brightness adjustment coefficient;

Illustratively, a first flow thresholdTaking 20 vehicles/min;

S32, adjusting the coefficient according to the brightness Generating a lighting control instruction, controlling the brightness of the lighting equipment by using the lighting instruction, and controlling the brightness of the lighting equipment to be increased to rated powerDoubling;

S33, according to the traffic flow Adjusting the working mode of the monitoring equipment:

If it is Switching the monitoring device to the power saving mode (frame rate reduced to 15 fps)

If it isThe monitoring device is switched to the normal mode (frame rate 30 fps)

Illustratively, the second flow thresholdTaking 10 vehicles/min;

S34, according to the traffic flow Communication power dynamic allocation is carried out on the communication equipment:

Wherein, the Is the reference communication power and,Is the adjusted communication power;

s35, when an emergency event is detected, executing load priority control;

for example, when a traffic accident occurs, the load priority is monitoring device > communication device > lighting device;

When severe weather occurs, the load priority is that the communication equipment is the lighting equipment and the monitoring equipment is the load priority;

S4, the central controller performs charge and discharge strategies according to the energy storage battery pack;

The specific steps of the step S4 are as follows:

s41, acquiring the state of charge of the energy storage battery pack Total power generationTotal power of loadHealth status;

S42, calculating the charge and discharge power demand:

Wherein, the Is the charge and discharge power of the battery,Is the maximum charging power of the battery,,,Is the maximum power of the discharge and,A current value of C-rate, 1c=battery 1 hour full/empty;

s43, performing charge and discharge by adopting a double closed-loop control strategy:

voltage outer loop: ;

Inner loop of current: ;

Wherein, the Is a reference value for the voltage and,Is the SOC target value and,Is the ratio coefficient of the voltage loop,Is the voltage loop integral coefficient, t is the time variable,Is the current command value and is set to be a current command value,Is the value of the voltage of the battery,Is the ratio coefficient of the current loop,Is the current loop integral coefficient;

S44, when the battery temperature is Exceeding a preset temperature thresholdAt the time, overheat protection is started:

s45, updating a battery health state model:

Wherein, the Is a new state of health, and is a new state of health,Is the original state of health of the patient,Is a preset coefficient of the number of the coefficients,Is a charge-discharge current instruction;

s5, the central controller controls the process of feeding back the residual electric energy to the power grid by the grid-connected inverter;

The specific steps of the step S5 are as follows:

s51, when the energy storage battery pack And is also provided withTriggering an energy feedback condition;

S52, calculating power which can be fed back to a power grid:

Wherein, the Is the voltage of the battery and,Is a charge-discharge current instruction;

s53, detecting the state of a power grid:

if the power grid frequency Belonging to a predetermined frequency range (e.g) And voltage fluctuatesThen executing grid connection; Is the nominal voltage of the power grid;

S54, connecting the grid-connected inverter And feeding back to the power grid, monitoring the state of the power grid in real time, and immediately disconnecting the grid connection if the state exceeds a preset frequency range.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. The intelligent energy supply system based on coupling of expressway photovoltaics and wind energy is characterized by comprising a power generation module, an energy conversion and storage module, an intelligent control module and a load management module;

The power generation module comprises a photovoltaic panel array and a wind driven generator, wherein the photovoltaic panel array is arranged in an illumination acquisition area of the expressway through an angle adjusting mechanism to convert solar energy into direct current;

The energy conversion and storage module comprises an inverter and an energy storage battery pack, wherein the inverter converts direct current output by the photovoltaic panel array and the wind driven generator into alternating current;

the load management module comprises a highway facility load, a grid-connected inverter and a load manager, wherein the highway facility load works by providing power supply through the inverter or the energy storage battery pack;

The intelligent control module comprises a sensor network and a central controller, wherein the sensor network collects the environmental data of the expressway, the central controller dynamically adjusts the angle of the photovoltaic array and the working state of the wind driven generator according to the environmental data of the expressway to perform optimal coupling power generation control of photovoltaic and wind energy, the central controller regulates and controls the load power consumption of expressway facilities according to the environmental data of the expressway, and the central controller controls the charging and discharging strategy of the energy storage battery pack and controls the process of feeding back the residual electric energy to the power grid by the grid-connected inverter.

2. The intelligent energy supply system based on coupling of highway photovoltaics and wind energy according to claim 1, wherein the light collection area comprises a barrier, a slope and a service area roof.

3. The intelligent energy supply system based on coupling of highway photovoltaics and wind energy according to claim 1, wherein the highway facility load comprises lighting equipment, monitoring equipment and communication equipment.

4. The intelligent energy supply system based on coupling of highway photovoltaics and wind energy according to claim 1, wherein the sensor network comprises an illumination sensor, a wind speed sensor and a temperature sensor.

5. An intelligent energy supply method based on coupling of expressway photovoltaics and wind energy, which adopts the intelligent energy supply system based on coupling of expressway photovoltaics and wind energy according to any one of claims 1 to 4, and is characterized by comprising the following steps:

s1, a central controller collects environmental data through a sensor network;

S2, dynamically adjusting the angle of the photovoltaic array and the working state of the wind driven generator by the central controller according to the environmental data, and realizing optimal coupling power generation control of the photovoltaic and wind energy;

S3, the central controller regulates and controls the load electricity consumption of facilities of the expressway according to the environmental data of the expressway;

S4, the central controller performs charge and discharge strategies according to the energy storage battery pack;

S5, the central controller controls the process of feeding back the residual electric energy to the power grid by the grid-connected inverter.

6. The intelligent energy supply method based on coupling of expressway photovoltaics and wind energy according to claim 5, wherein the specific steps of step S1 are as follows:

s11, collecting illumination intensity along the expressway through an illumination sensor Wind speed is acquired by a wind speed sensorAnd wind directionAmbient temperature is collected by a temperature sensor;

S12, acquiring the traffic flow per minute through a traffic flow detectorAnd average vehicle speed;

S13, acquiring a current time stamp through a clock moduleAnd seasonal parameters;

S14, constructing an environment data matrix:

;

S15, the sensor network uses the industrial Ethernet to matrix the environmental dataTransmitted to a central controller.

7. The intelligent energy supply method based on coupling of expressway photovoltaics and wind energy according to claim 6, wherein the specific steps of step S2 are as follows:

s21, the central controller is used for generating a matrix according to the environmental data Intensity of illumination in (a)And a current timestampCalculating an optimal tilt angle of a photovoltaic panel:

;

Wherein, the For the local latitude to be a local latitude,Is the declination angle of the sun,Is the solar time angle;

S22, generating a photovoltaic panel inclination angle control instruction And the angle adjusting mechanism sends the photovoltaic panel to adjust the photovoltaic panel to the optimal inclination angle;

S23, according to wind speedAnd preset wind speed threshold valueIs a relationship controlling wind power generator:

If it is Starting the wind driven generator and executing a maximum power point tracking algorithmThe rotating speed of the wind driven generator is adjusted in real time through a disturbance observation method;

If it is Controlling the wind driven generator to enter a standby state;

s24, collecting photovoltaic power generation power in real time And wind power generation powerCalculating the total power。

8. The intelligent energy supply method based on coupling of expressway photovoltaics and wind energy according to claim 7, wherein the specific steps of step S3 are as follows:

s31, according to the current time stamp in the environment data matrix Traffic flow rateA preset first flow thresholdAnd a second flow thresholdCalculating the illumination brightness adjustment coefficient;

S32, adjusting the coefficient according to the brightnessGenerating a lighting control instruction, controlling the brightness of the lighting equipment by using the lighting instruction, and controlling the brightness of the lighting equipment to be increased to rated powerDoubling;

S33, according to the traffic flow Adjusting the working mode of the monitoring equipment:

If it is Switching the monitoring equipment to an energy-saving mode;

If it is Switching the monitoring equipment to a normal mode;

S34, according to the traffic flow Communication power dynamic allocation is carried out on the communication equipment:

Wherein, the Is the reference communication power and,Is the adjusted communication power;

and S35, when an emergency event is detected, performing load priority control.

9. The intelligent energy supply method based on coupling of expressway photovoltaics and wind energy according to claim 8, wherein the specific steps of step S4 are as follows:

s41, acquiring the state of charge of the energy storage battery pack Total power generationTotal power of loadHealth status;

S42, calculating the charge and discharge power demand:

Wherein, the Is the charge and discharge power of the battery,Is the maximum charging power of the battery,,,Is the maximum power of the discharge and,A current value of C-rate, 1c=battery 1 hour full/empty;

s43, performing charge and discharge by adopting a double closed-loop control strategy:

voltage outer loop: ;

Inner loop of current: ;

Wherein, the Is a reference value for the voltage and,Is the SOC target value and,Is the ratio coefficient of the voltage loop,Is the voltage loop integral coefficient, t is the time variable,Is the current command value and is set to be a current command value,Is the value of the voltage of the battery,Is the ratio coefficient of the current loop,Is the current loop integral coefficient;

S44, when the battery temperature is Exceeding a preset temperature thresholdAt the time, overheat protection is started:

s45, updating a battery health state model:

Wherein, the Is a new state of health, and is a new state of health,Is the original state of health of the patient,Is a preset coefficient of the number of the coefficients,Is a charge-discharge current command.

10. The intelligent energy supply method based on coupling of expressway photovoltaics and wind energy according to claim 9, wherein the specific steps of step S5 are as follows:

s51, when the energy storage battery pack And is also provided withTriggering an energy feedback condition;

S52, calculating power which can be fed back to a power grid:

Wherein, the Is the voltage of the battery and,Is a charge-discharge current instruction;

s53, detecting the state of a power grid:

if the power grid frequency Belonging to a preset frequency range and having voltage fluctuationThen executing grid connection; Is the nominal voltage of the power grid;

S54, connecting the grid-connected inverter And feeding back to the power grid, monitoring the state of the power grid in real time, and immediately disconnecting the grid connection if the state exceeds a preset frequency range.