Novel multi-energy coupling energy storage heat exchange system suitable for expressway

Abstract

The invention discloses a novel multi-energy coupling energy storage and heat exchange system suitable for an expressway, and relates to the technical field of multi-energy utilization, the novel multi-energy coupling energy storage and heat exchange system suitable for the expressway comprises a renewable energy acquisition module, a multi-energy coupling management module and a safety control module; the renewable energy source acquisition module is used for converting pre-acquired renewable energy sources into electric energy; and the multi-energy coupling management module is used for carrying out storage and heat exchange management on the electric energy generated by conversion, and establishing a multi-energy coupling scheduling model to realize collaborative distribution among renewable energy sources. According to the novel multi-energy coupling energy storage heat exchange system suitable for the expressway, it is ensured that energy can be stably and efficiently collected and utilized under various conditions, and the continuous energy requirement of the expressway is met through optimization and complementation of three renewable energy sources under different conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-energy utilization, and in particular to a new multi-energy coupling energy storage and heat exchange system suitable for highways. Background Art

[0002] As the world pays more attention to sustainable development and reducing carbon emissions, highways, as an important part of the transportation network, have an increasing demand for energy. The application of renewable energy such as geothermal energy, solar energy and wind energy in highway energy supply has received increasing attention. In this context, the combination of new energy storage technology and efficient heat exchange system has become the key to solving the energy problem of highways. Energy storage technology can solve the problem of fluctuating power demand and ensure stable power supply during peak demand; while efficient heat exchange system can recover and utilize waste heat, improve the overall energy utilization efficiency and reduce energy waste.

[0003] However, existing energy storage and heat exchange technologies are often limited to a single energy source and are difficult to adapt to the complex energy needs of highways in multiple scenarios. In order to meet the requirements of the sustainable development strategy, people have begun to exploit abundant renewable energy reserves to supply energy. Due to the instability, the promotion of these energy technologies has been greatly limited, and the use of these energy sources has also faced some challenges: First, geothermal energy is mainly in areas with stable crust and rich hot springs, while solar energy and wind energy are greatly affected by weather and geographical location. How to achieve the complementarity of these three energy sources under different conditions is a technical problem; secondly, the conversion equipment of each energy source may have different efficiencies. How to optimize the energy conversion of the entire system and improve the overall efficiency is the key to technical optimization; finally, integrating multiple energy sources into one system requires solving the problems of system integration, coordination and intelligent control to ensure the stable operation of the system.

[0004] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a new multi-energy coupling energy storage and heat exchange system suitable for highways. Through the optimized complementarity of three renewable energy sources under different conditions, the continuous energy demand of highways can be met, thereby solving the problem that the energy supply of highways depends on the external power grid, is greatly affected by fluctuations in electricity supply and demand, and the efficiency of energy conversion and transmission is low, resulting in large carbon emissions and energy waste.

[0006] In order to achieve the above advantages of optimizing and complementing the three renewable energy sources under different conditions to meet the continuous energy demand of the highway, the specific technical solutions adopted by the present invention are as follows:

[0007] A multi-energy coupling new energy storage and heat exchange system suitable for highways, the multi-energy coupling new energy storage and heat exchange system suitable for highways comprises a renewable energy collection module, a multi-energy coupling management module and a safety control module;

[0008] A renewable energy collection module, used to convert pre-collected renewable energy into electrical energy, wherein the renewable energy includes geothermal energy, wind energy and solar energy;

[0009] The multi-energy coupling management module is used to store and manage the heat exchange of the converted electric energy, and to establish a multi-energy coupling scheduling model to achieve coordinated allocation among renewable energy sources;

[0010] The safety control module is used to monitor the operating status of the renewable energy collection module and the multi-energy coupling management module in real time, and send early warning instructions and implement emergency measures when a fault state is detected.

[0011] Preferably, the renewable energy collection module includes a geothermal collection module, a wind power generation module and a solar photovoltaic module;

[0012] The geothermal collection module is used to obtain geothermal energy using thermal energy collection equipment and transfer it to the circulating working fluid, thereby promoting the flow of the circulating working fluid to achieve the conversion between geothermal energy and electrical energy;

[0013] Wind power generation module, used to use wind power generation equipment to obtain wind energy and convert it into electrical energy, and then combine independent variable pitch control technology to perform optimized control on the wind power generation equipment;

[0014] Solar photovoltaic modules are used to use solar energy collection equipment to obtain solar energy and convert it into electrical energy, and then combine photovoltaic tracking technology to perform optimal control on the solar energy collection equipment.

[0015] Preferably, the wind power generation module includes:

[0016] Collect the operating parameters of the wind power generation equipment, use the wind speed as the self-control interference, the pitch angle as the control quantity, and the overturning moment and yaw moment of the hub center as the output feedback quantity, and perform inverse transformation on the gravity bending moment of the blade, wind speed and pitch angle in turn;

[0017] The pitch angle requirement value obtained by the inverse transformation is transformed into the control amount of the actual deviation pitch change to obtain the additional pitch angle expected by the independent pitch change;

[0018] The additional pitch angle expected by the independent pitch change and the predefined pitch angle are superimposed to obtain the pitch angle control amount of the wind power generation equipment, and the wind power generation equipment is optimally controlled based on the pitch angle control amount.

[0019] Preferably, the multi-energy coupling management module includes an energy storage module, a multi-energy coupling scheduling module, a high-efficiency heat exchange module and a cross-regional energy scheduling module;

[0020] Energy storage module, which is used to optimize the charging and discharging strategy of energy storage equipment by combining the highway’s energy demand and power feedback signals;

[0021] The multi-energy coupling scheduling module is used to adjust the operating status of the geothermal collection module, wind power generation module and solar photovoltaic module using the energy coupling scheduling model to achieve optimal configuration among renewable energy sources;

[0022] High-efficiency heat exchange module, which uses a multi-objective optimization algorithm to coordinately optimize the charging and discharging strategies of energy storage equipment and the operating parameters of the heat exchange system, and provides infrastructure services for areas along the highway based on the conversion and utilization of electric energy;

[0023] Cross-regional energy scheduling is used to identify the differences between energy output and energy demand in different areas of the highway, and to formulate cross-regional energy scheduling strategies after predicting energy demand based on energy differences.

[0024] Preferably, the energy storage module includes the following when optimizing the charging and discharging strategy of the energy storage device in combination with the energy demand of the highway and the power feedback signal:

[0025] Extract the electric energy released by the conversion of geothermal collection module, wind power generation module and solar photovoltaic module and extract the electric energy data;

[0026] Combine power data with highway energy demand and power feedback signals, and use reinforcement learning algorithms to adjust the charging and discharging strategies of energy storage devices;

[0027] The charging and discharging strategy of the energy storage device includes charging the energy storage device during a period of low power consumption of the energy storage device, and discharging the energy storage device during a period of high power consumption of the energy storage device.

[0028] Preferably, the multi-energy coupling scheduling module includes:

[0029] Use time series analysis technology to predict traffic flow and weather conditions along the highway and evaluate the energy demand of equipment along the highway;

[0030] Dynamically adjust the output power of energy stations along the highway and the charging and discharging strategy of energy storage equipment based on the energy demand of equipment in the area along the highway;

[0031] A multi-energy coupling scheduling model is established, and the operating status of the geothermal collection module, wind power generation module and solar photovoltaic module is adjusted using the multi-energy coupling scheduling model based on the energy demand of equipment in the area along the highway.

[0032] Preferably, a multi-energy coupling scheduling model is established, and the operation states of the geothermal collection module, the wind power generation module and the solar photovoltaic module are adjusted using the multi-energy coupling scheduling model based on the energy demand of the equipment in the area along the highway, including:

[0033] Based on the renewable energy power and the energy demand of equipment along the highway, a highway multi-energy coupling scheduling optimization scenario is constructed, and the energy demand is peak-shaving and valley-filling is performed to obtain the peak-valley boundary of the multi-energy coupling scheduling model.

[0034] The renewable energy power and the energy demand of equipment along the highway are used as the input layer, and the peak-valley boundary of the multi-energy coupling scheduling model after peak shaving and valley filling is used as the output layer. The convolutional neural network is used to generate the peak-valley boundary estimation model of the multi-energy coupling scheduling model.

[0035] The peak-valley boundary prediction model based on the multi-energy coupling scheduling model predicts the peak-valley boundary applicable to the future time period of the highway, and transmits the peak-valley boundary to the energy storage module for peak regulation.

[0036] The energy storage module distributes the electric energy stored in the energy storage module to the high-efficiency heat exchange module and the power grid according to the peak-valley boundaries of the highway in the future time period.

[0037] Preferably, the safety control module includes an operation status monitoring module and a safety assurance module;

[0038] The operation status monitoring module is used to monitor the operation status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and identify potential failure modes based on the monitoring data of the operation status;

[0039] The safety assurance module is used to formulate safety assurance measures based on the identified potential failure modes to ensure the stable operation of the renewable energy management module and the multi-energy coupling scheduling module.

[0040] Preferably, the operation status monitoring module monitors the operation status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and identifies potential failure modes in combination with the monitoring data of the operation status, including:

[0041] Use sensors to monitor the operating status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and transmit the monitoring data to the highway monitoring center to achieve information sharing with the highway monitoring center;

[0042] Mining and analyzing the monitoring data of the operating status to identify the potential failure modes of the equipment;

[0043] Predict when and what type of failure will occur based on the potential failure modes of the equipment, and develop equipment maintenance plans to reduce unplanned downtime.

[0044] Preferably, the calculation formula for the additional pitch angle expected by independent pitch control is:

[0045]

[0046] In the formula, represents the additional pitch angle expected by independent pitch change after inverse transformation; δ represents the pitch angle during the actual pitch change process; b i represents the initial pitch angle of the blade.

[0047] Compared with the prior art, the present invention provides a new multi-energy coupling energy storage and heat exchange system suitable for highways, which has the following beneficial effects:

[0048] (1) The present invention provides a new multi-energy coupling energy storage and heat exchange system suitable for highways, which ensures that energy can be collected and utilized stably and efficiently under various conditions, and through the optimized complementarity of three renewable energy sources under different conditions, it can meet the continuous energy demand of highways, thereby improving the overall energy utilization efficiency by integrating efficient conversion equipment and optimizing the system, thereby reducing operating costs.

[0049] (2) The present invention effectively couples geothermal energy, solar energy and wind energy with seasonal and temporal differences and realizes the complementarity of these three energy sources to ensure continuous and stable power supply. At the same time, it improves the overall energy utilization efficiency through high-efficiency heat exchange technology, and provides customized energy solutions based on the different energy demands of different areas of the highway (such as service areas, tunnels, toll stations, etc.), thereby reducing the operating costs of the highway and promoting the green energy transformation of the highway. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 is a principle block diagram of a new multi-energy coupling energy storage and heat exchange system suitable for highways according to an embodiment of the present invention;

[0052] Figure 2 is a schematic diagram of a geothermal collection module in a multi-energy coupling novel energy storage and heat exchange system suitable for highways according to an embodiment of the present invention;

[0053] Figure 3 is a schematic diagram of a wind power generation module in a new multi-energy coupling energy storage and heat exchange system suitable for highways according to an embodiment of the present invention;

[0054] Figure 4 is a schematic diagram of a solar photovoltaic module in a new multi-energy coupling energy storage and heat exchange system suitable for highways according to an embodiment of the present invention;

[0055] Figure 5 is a schematic diagram of an energy storage module in a new multi-energy coupling energy storage and heat exchange system suitable for highways according to an embodiment of the present invention;

[0056] Figure 6 is a schematic diagram of a high-efficiency heat exchange module in a multi-energy coupling novel energy storage and heat exchange system suitable for highways according to an embodiment of the present invention;

[0057] Figure 7 It is a flow chart of a multi-energy coupling scheduling model in a multi-energy coupling novel energy storage and heat exchange system suitable for highways according to an embodiment of the present invention.

[0058] In the figure:

[0059] 1. Renewable energy collection module; 2. Multi-energy coupling management module; 3. Safety control module. DETAILED DESCRIPTION

[0060] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments. They can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, ordinary technicians in this field should be able to understand other possible implementation methods and advantages of the present invention.

[0061] According to an embodiment of the present invention, a new multi-energy coupling energy storage and heat exchange system suitable for highways is provided.

[0062] The present invention is further described with reference to the accompanying drawings and specific embodiments. Figure 1-Figure 7 As shown, the multi-energy coupling new energy storage and heat exchange system suitable for highways according to the embodiment of the present invention comprises a renewable energy collection module 1, a multi-energy coupling management module 2 and a safety control module 3;

[0063] The renewable energy collection module 1 is used to convert the pre-collected renewable energy into electrical energy, wherein the renewable energy includes geothermal energy, wind energy and solar energy.

[0064] Among them, the renewable energy collection module 1 includes a geothermal collection module, a wind power generation module and a solar photovoltaic module;

[0065] The geothermal collection module is used to obtain geothermal energy using thermal energy collection equipment and transfer it to the circulating working fluid, thereby promoting the flow of the circulating working fluid to achieve the conversion between geothermal energy and electrical energy.

[0066] It should be noted that the geothermal collection module consists of a geothermal well or geothermal heat pump, a heat exchanger, a circulating working fluid, a circulating pump and a geothermal generator. Geothermal fluid is collected through a geothermal well or a geothermal heat pump, and the geothermal fluid exchanges heat with the circulating working fluid through a heat exchanger, transferring geothermal energy to the circulating working fluid, and the circulating pump drives the circulating working fluid to circulate in the system. Part of the geothermal energy is directly transferred to the high-efficiency heat exchange module, and the remaining part is converted into electrical energy by the geothermal generator and transferred to the energy storage module.

[0067] Since the development of geothermal energy along the highway is limited by geographical conditions, shallow geothermal energy and ground source heat pump systems can be used to take advantage of the universality of shallow geothermal resources and overcome the problem of limited deep geothermal resources. The specific implementation methods are as follows:

[0068] 1. Exploration and evaluation of shallow geothermal resources

[0069] (1) Geological survey: Conduct geological surveys along the highway route to obtain information such as soil type, groundwater level, and rock structure.

[0070] (2) Geothermal gradient measurement: Measure underground temperature at different depths and calculate the geothermal gradient G:

[0071]

[0072] Among them, T 1 and T 2 The depth D 1 and D 2 The temperature at which the

[0073] (3) Thermophysical property parameter test: Determine the thermal conductivity λ and specific heat capacity c of soil or rock.

[0074] 2. Design of ground source heat pump system

[0075] (1) Determine heat load demand: Calculate the total heat load based on the heating and cooling demand of facilities along the highway (such as service areas and toll stations):

[0076] Q=Q 供暖 +Q 制冷

[0077] (2) Select the buried pipe type:

[0078] Vertical buried pipe: In areas with limited space, drill and install U-shaped buried pipe;

[0079] Horizontal buried pipe: Laying horizontal buried pipe on available land.

[0080] (3) Calculate the total length of buried pipe L:

[0081]

[0082] Among them, q u is the heat transfer capacity per unit length of buried pipe (W / m), which can be calculated by the formula:

[0083]

[0084] Where λ is the thermal conductivity of soil (W / (m·K)), T s is soil temperature (℃), T f is the fluid temperature (°C), r b is the drilling radius (m), r 0 Equivalent radius of buried pipe (m).

[0085] 3. System integration and installation

[0086] (1) Install the ground source heat pump unit: Select a ground source heat pump unit with appropriate capacity according to the heat load requirements.

[0087] (2) Laying of pipelines and circulation systems: connecting buried pipes, heat pump units and building terminal systems to form a complete cycle.

[0088] (3) Control system setting: Install temperature and pressure sensors and set up automatic control system to achieve efficient operation.

[0089] 4. Operation and maintenance

[0090] (1) System debugging: Start the system and adjust the operating parameters to ensure that the designed performance is achieved;

[0091] (2) Regular maintenance: Inspect the buried pipe system and heat pump unit every year, clean the heat exchanger, and test the system sealing.

[0092] 5. Performance evaluation and optimization

[0093] (1) Calculate the system energy efficiency ratio (COP):

[0094]

[0095] Among them, W 输入 The electrical power consumed to operate the heat pump.

[0096] (2) Optimize operating parameters: Adjust flow rate, temperature and other parameters based on actual operating data to improve system efficiency.

[0097] 6. Adaptive fertilization

[0098] (1) Regional adaptability: According to different geological conditions, adjust the buried pipe type and depth to ensure the heat exchange effect.

[0099] (2) Combined energy system: In areas where geothermal energy is insufficient, it is combined with other renewable energy sources such as solar energy to form a multi-energy complementary system.

[0100] Part of the geothermal energy collected by the geothermal collection module is transferred to the high-efficiency heat exchange module, and the other part is converted into electrical energy and stored in the energy storage module together with the electrical energy generated by the wind power generation module and the solar photovoltaic module. The multi-energy coupling scheduling model integrates part of the stored electrical energy into the power grid according to user needs to meet the electricity needs of highway service areas and toll stations, and the other part is transferred to the high-efficiency heat exchange module together with part of the geothermal energy to meet the heating, cooling and domestic water needs of highway service areas and toll stations. Utilizing the geothermal resources along the highway, geothermal energy is collected through geothermal wells or geothermal heat pumps, and the geothermal fluid exchanges heat with the circulating working fluid through the heat exchanger to transfer the geothermal energy to the circulating working fluid. At the same time, a circulating pump is set to drive the circulating working fluid to circulate in the system to achieve continuous collection of geothermal energy and conversion of heat energy and electrical energy.

[0101] For geothermal collection modules, safety optimization can be achieved through the following aspects:

[0102] 1. Anti-leakage measures: High-strength and anti-corrosion pipeline materials can be used to prevent leakage of circulating fluids. Regularly conduct pipeline pressure tests, and the test formula is:

[0103] P test =1.5×P work

[0104] Among them, P test is the test pressure, P work For work pressure.

[0105] 2. Temperature control: A temperature sensor can be added to the circulating working fluid to prevent the system from being damaged due to excessive temperature.

[0106] The wind power generation module is used to utilize wind power generation equipment to obtain wind energy and convert it into electrical energy, and then combine it with independent variable pitch control technology to perform optimized control on the wind power generation equipment.

[0107] Among them, the wind power generation module includes:

[0108] Collect the operating parameters of the wind power generation equipment, use the wind speed as the self-control interference, the pitch angle as the control quantity, and the overturning moment and yaw moment of the hub center as the output feedback quantity, and perform inverse transformation on the gravity bending moment of the blade, wind speed and pitch angle in turn;

[0109] The pitch angle requirement value obtained by the inverse transformation is transformed into the control amount of the actual deviation pitch change to obtain the additional pitch angle expected by the independent pitch change;

[0110] The additional pitch angle expected by the independent pitch change and the predefined pitch angle are superimposed to obtain the pitch angle control amount of the wind power generation equipment, and the wind power generation equipment is optimally controlled based on the pitch angle control amount.

[0111] It should be noted that the wind power generation module consists of a wind rotor, a speed increaser and a wind turbine generator. Wind energy drives the wind rotor to rotate, converting the wind energy into mechanical energy. The wind rotor then passes through the speed increaser to increase the speed of rotation, which in turn drives the generator to generate electricity and convert mechanical energy into electrical energy.

[0112] Wind turbines are installed at suitable locations along the highway, using wind energy to drive the generators to rotate and convert wind energy into electrical energy. Wind turbines use independent variable pitch control technology to improve wind energy conversion efficiency and stability.

[0113] Compared with the traditional centralized control method of wind turbines, independent variable pitch control is characterized by independent adjustment of each blade, and intelligently adjusting the angle of each blade according to wind direction, wind speed and the operating status of the generator set. This helps to reduce the uneven load on the blades, reduce the yaw moment and overturning moment of the generator set at the hub center, and thus optimize the power generation effect. This technology adopts the multi-input and multi-output control theory, and adjusts the wind speed v i As the self-control disturbance, the pitch angle b i As the control quantity, the overturning moment and yaw moment of the hub center are used as the output feedback quantity. The gravity bending moment M and wind speed v on the blade i , pitch angle b i Perform Park transformation (Park transformation is a mathematical transformation widely used in electrical engineering, especially in AC motor control systems. This transformation converts the quantity of the three-phase AC system from a time-dependent three-phase coordinate system to a two-dimensional orthogonal coordinate system that rotates synchronously with the rotating magnetic field), and its expression is:

[0114]

[0115] In the formula, p change [M] represents the Park transformation of the gravity bending moment M, p change [v i ] represents the wind speed v i Perform Park transformation, p change [b i ] represents the pitch angle b i Perform Park transform, They respectively represent the gravity bending moment, wind speed and pitch angle obtained after Park transformation.

[0116] The pitch angle requirement value obtained after the inverse transformation is transformed into the control amount of the actual deviation pitch control, and the additional pitch angle required by the independent pitch control can be obtained. The calculation formula of the additional pitch angle expected by the independent pitch control is:

[0117]

[0118] In the formula, represents the additional pitch angle expected by independent pitch change after inverse transformation; δ represents the pitch angle during the actual pitch change process; b i represents the initial pitch angle of the blade.

[0119] By superimposing the desired pitch angle of the independent pitch change and the pitch angle given by the unified pitch change, the control value of the pitch angle of the wind turbine blades can be obtained, thereby realizing the control of the wind turbine.

[0120] The mechanical stress of wind turbines under strong wind conditions can be reduced by improving the pitch control algorithm, thereby optimizing independent pitch control. Specifically, the optimization formula is as follows:

[0121] θ opt =θ 0 +k·(ω-ω 0 )

[0122] Among them, θ opt is the optimized pitch angle, θ 0 is the initial pitch angle, k is the control gain, ω is the current wind speed, ω 0 is the rated wind speed.

[0123] Furthermore, the strength and stability of the supporting structure of the wind power generation equipment can be calculated according to GB 50017-2017 "Steel Structure Design Standard" to ensure safety under extreme conditions.

[0124] Solar photovoltaic modules are used to use solar energy collection equipment to obtain solar energy and convert it into electrical energy, and then combine photovoltaic tracking technology to perform optimal control on the solar energy collection equipment.

[0125] It should be noted that the solar photovoltaic module consists of photovoltaic panels and inverters. Photovoltaic panels use high-efficiency photoelectric conversion materials to efficiently convert solar radiation into electrical energy, and the direct current generated by photovoltaic panels is converted into alternating current through inverters. Solar photovoltaic panels are installed in highway service areas, toll stations and other areas to convert solar energy into electrical energy. Photovoltaic panels use high-efficiency photoelectric conversion materials, and photovoltaic tracking systems are used to keep photovoltaic panels facing the sun at all times to maximize the reception of solar radiation energy and improve photoelectric conversion efficiency.

[0126] Solar photovoltaic modules can also be optimized to ensure their safety. Specifically, they can be optimized from two aspects: overheat protection and anti-glare design:

[0127] 1. Overheat protection: temperature sensors can be installed on photovoltaic modules. When the temperature exceeds the safety value, cooling measures are initiated or the output power is reduced.

[0128] 2. Anti-glare design, use low reflectivity photovoltaic materials to reduce the impact of glare on drivers. The reflectivity calculation formula is:

[0129]

[0130] Where R is the reflectivity, n 1 is the refractive index of air, n 2 is the refractive index of the photovoltaic material.

[0131] The multi-energy coupling management module 2 is used to store and manage the heat exchange of the converted electric energy, and to establish a multi-energy coupling scheduling model to achieve coordinated allocation among renewable energy sources.

[0132] Among them, the multi-energy coupling management module 2 includes an energy storage module, a multi-energy coupling scheduling module, a high-efficiency heat exchange module and a cross-regional energy scheduling module;

[0133] The energy storage module is used to optimize the charging and discharging strategy of the energy storage equipment by combining the energy demand of the highway and the power feedback signal.

[0134] Among them, the energy storage module combines the energy demand of the highway and the power feedback signal to optimize the charging and discharging strategy of the energy storage device, including:

[0135] Extract the electric energy released by the conversion of geothermal collection module, wind power generation module and solar photovoltaic module and extract the electric energy data;

[0136] The electric energy data is combined with the energy demand and power feedback signals of the highway, and the charging and discharging strategies of the energy storage device are adjusted using the reinforcement learning algorithm; the charging and discharging strategies of the energy storage device include charging the energy storage device during periods of low power consumption and discharging the energy storage device during periods of high power consumption.

[0137] It should be noted that the energy storage module is composed of a hybrid energy storage technology of lithium-ion batteries and supercapacitors. Lithium-ion batteries have the characteristics of high energy density and can provide energy stably for a long time; supercapacitors have the characteristics of fast charging and discharging and can provide high power output in a short time. The combination of the two can uniformly manage and control the electricity generated by the geothermal collection module, wind power generation module and solar photovoltaic module, which can not only meet the long-term stable energy needs of the highway, but also cope with the high power needs in sudden situations.

[0138] Energy storage technologies, such as lithium-ion batteries and supercapacitors, are used to uniformly manage and control the electricity generated by geothermal collection modules, wind power generation modules and solar photovoltaic modules to achieve optimal scheduling and storage of energy. The specific implementation steps are as follows:

[0139] By collecting electric energy data in real time, including power generation, power consumption, voltage, current, power factor, etc., based on the energy demand of the highway and the power generation of each energy system, the real-time operation status and historical data of the power grid, real-time traffic conditions, energy prices, energy storage status and other feedback signals, the reinforcement learning algorithm is used to intelligently adjust the charging and discharging strategy of the energy storage device, charging during low power consumption periods and discharging during high power consumption periods, thereby enhancing the adaptability and robustness of the system, ensuring the stability and reliability of energy supply, and realizing maximum energy utilization and optimization of economic benefits.

[0140] It should be noted that the geothermal collection module converts part of the geothermal energy into electrical energy; the wind power generation module and the solar photovoltaic module convert wind energy and solar energy into electrical energy respectively, and the electrical energy is stored in the energy storage module so that it can be released and used when needed.

[0141] The multi-energy coupling scheduling module is used to adjust the operating status of the geothermal collection module, wind power generation module and solar photovoltaic module using the energy coupling scheduling model to achieve optimal configuration among renewable energy sources.

[0142] Among them, the multi-energy coupling scheduling module uses the energy coupling scheduling model to adjust the operating status of the geothermal collection module, the wind power generation module and the solar photovoltaic module to achieve the optimal configuration among renewable energy sources, including:

[0143] Use time series analysis technology to predict traffic flow and weather conditions along the highway and evaluate the energy demand of equipment along the highway;

[0144] Dynamically adjust the output power of energy stations along the highway and the charging and discharging strategy of energy storage equipment based on the energy demand of equipment in the area along the highway;

[0145] A multi-energy coupling scheduling model is established, and the operating status of the geothermal collection module, wind power generation module and solar photovoltaic module is adjusted using the multi-energy coupling scheduling model based on the energy demand of equipment in the area along the highway.

[0146] It should be noted that the multi-energy coupling scheduling model automatically adjusts the operating status of geothermal collection modules, wind power generation modules and solar photovoltaic modules according to energy demand, meteorological conditions and other factors along the highway to achieve optimal configuration and complementary utilization of energy. The specific implementation steps include:

[0147] Through the highway monitoring system and traffic flow data and data provided by meteorological stations or meteorological satellites, time series analysis methods are used to predict energy demand and meteorological conditions, and estimate the energy demand of lighting, ventilation, signal control and other equipment along the highway.

[0148] According to real-time data and prediction results, the output power of energy stations along the highway and the charging and discharging strategies of energy storage equipment are dynamically adjusted, and the operating status of geothermal collection modules, wind power generation modules and solar photovoltaic modules are automatically adjusted, for example:

[0149] When there is sufficient sunlight, solar photovoltaic modules are used to generate electricity first; when the wind speed is appropriate, the power generation of wind power modules is increased; at night or on rainy days, the heat supply or power generation of geothermal collection modules is increased; when there is heavy traffic during peak hours, the utilization of photovoltaic and wind energy is optimized to ensure sufficient energy supply to cope with the increased heat exchange and lighting needs, thereby achieving complementary utilization of different energy modules and ensuring the stability and reliability of energy supply.

[0150] Among them, a multi-energy coupling scheduling model is established, and the operation status of the geothermal collection module, wind power generation module and solar photovoltaic module is adjusted by using the multi-energy coupling scheduling model based on the energy demand of the equipment along the highway.

[0151] Based on the renewable energy power and the energy demand of equipment along the highway, a highway multi-energy coupling scheduling optimization scenario is constructed to smooth the peak of conventional energy demand and fill the valley, thus obtaining the peak-valley boundary of the multi-energy coupling scheduling model.

[0152] The renewable energy power and the energy demand of equipment along the highway are used as the input layer, and the peak-valley boundary of the multi-energy coupling scheduling model after peak shaving and valley filling is used as the output layer. The convolutional neural network is used to generate the peak-valley boundary estimation model of the multi-energy coupling scheduling model.

[0153] The peak-valley boundary prediction model based on the multi-energy coupling scheduling model predicts the peak-valley boundary applicable to the future time period of the highway, and transmits the peak-valley boundary to the energy storage module for peak regulation.

[0154] The energy storage module distributes the electric energy stored in the energy storage module to the high-efficiency heat exchange module and the power grid according to the peak-valley boundaries of the highway in the future time period.

[0155] It should be noted that the multi-energy coupling scheduling model constructs a specific scenario of multi-energy coupling scheduling optimization that conforms to the characteristics of highway energy utilization based on the actual test data of geothermal energy, wind energy and photovoltaic power generation and user demand, and combines past actual test data to smooth the peak and fill the valley of energy demand and calculate the peak-valley boundary of the multi-energy coupling scheduling model:

[0156]

[0157] In the formula, S t are the maximum upward adjustment boundary and the maximum downward adjustment boundary of the peak and valley at time t in the multi-energy coupling scheduling model, respectively. w,t 、p p,t 、p g,t These are the actual test values ​​of wind power, photovoltaic power and geothermal power, They are the dispatch optimization values ​​of wind power, photovoltaic power and geothermal energy respectively.

[0158] P BESS is the energy supply value of the energy storage module for peak shaving and valley filling, and its expression is:

[0159]

[0160] Where P load，t is the system load at time t; P BESS is the vector form of the energy supply value for peak shaving and valley filling, that is, the external power of the energy storage module in the optimization cycle; P bess，t is the charging and discharging power of the energy storage module at time t. When discharging, P bess，t >0, when charging, P bess，t <0, and P bess，t =0, indicating that the energy storage module is in floating charge state, neither charging nor discharging; T is the load sampling period; P av,post is the average load value after the energy storage system is discharged or charged, and its expression is:

[0161]

[0162] It should be noted that the actual power generation of geothermal energy, wind energy and photovoltaic energy and the historical measured values ​​of user demand are taken as the input layer, the peak and valley boundaries of the scheduling model are taken as the output layer, and the convolutional neural network (CNN) is selected as the deep learning model architecture; the network layers are designed according to the data characteristics, including the input layer, hidden layer and output layer, and the appropriate loss function is selected; the data set is divided into training set, validation set and test set; the model is trained with the training set, the model parameters are adjusted with the validation set, and the generalization ability of the model is evaluated with the test set, so as to obtain the peak and valley boundary prediction model of the multi-energy coupling scheduling model.

[0163] During the actual operation stage, the acquired values ​​of geothermal energy, wind energy, and photovoltaic power generation, as well as the prediction results of deep learning of user needs, are used as input features of the peak-valley boundary prediction model to predict the peak-valley boundaries of the new multi-energy coupling energy storage and heat exchange system suitable for highways at future times of highway operation; the multi-energy coupling scheduling model submits the peak-valley boundaries of the future highway operation to the energy storage module, which performs scheduling optimization according to the boundary values ​​and reasonably distributes the stored electrical energy to the high-efficiency heat exchange module and the power grid, thereby improving the overall energy utilization efficiency.

[0164] The high-efficiency heat exchange module is used to coordinately optimize the charging and discharging strategies of energy storage equipment and the operating parameters of the heat exchange system using a multi-objective optimization algorithm, and to provide infrastructure services for areas along the highway based on the conversion and utilization of electric energy.

[0165] It should be noted that the high-efficiency heat exchange module is composed of a heating cycle module, a refrigeration cycle module, a domestic hot water cycle module, an electric heater, a control system and a real-time monitoring system. The real-time monitoring system monitors the needs of highway service areas, toll stations and other areas in real time and transmits them to the control system. The electric energy transmitted by the energy storage module is converted into thermal energy through the electric heater, and the thermal energy transmitted by the geothermal collection module is transmitted to the heating cycle module, the refrigeration cycle module, and the domestic hot water cycle module through the control system, providing hot water, heating or cooling services for highway service areas, toll stations and other areas.

[0166] It should be noted that the multi-objective optimization algorithm will randomly generate a set of initial objective function values ​​based on the scope and constraints of decision variables such as energy storage efficiency, heat exchange efficiency, system cost, and environmental impact. According to the charging and discharging strategy and the fitness value of the heat exchange system, the initial solution is crossover and mutation operations are performed to generate a new solution. The newly generated objective function value is tested based on historical monitoring data. By continuously iteratively evaluating the fitness, selection, crossover, and mutation of the objective function value, a better objective function value is obtained until the electricity consumption and cooling and heating requirements along the highway are met.

[0167] The high-efficiency heat exchange module adopts a multi-objective optimization algorithm, comprehensively considering multiple objectives such as energy storage efficiency, heat exchange efficiency, system cost, and environmental impact, and coordinately optimizes the charging and discharging strategies of energy storage equipment and the operating parameters of the heat exchange system. Using geothermal energy or the electricity released by the energy storage module, high-efficiency heat exchangers are used to provide hot water, heating or cooling services to service areas, toll stations and other areas along the highway.

[0168] Cross-regional energy scheduling is used to identify the differences between energy output and energy demand in different areas of the highway, and to formulate cross-regional energy scheduling strategies after predicting energy demand based on energy differences.

[0169] It should be noted that identifying the differences between energy output and energy demand in different areas of the highway and predicting energy demand based on energy differences to formulate cross-regional energy scheduling strategies include:

[0170] Identify the differences between energy output and energy demand of solar energy, wind energy, geothermal energy, etc. in different highway sections and areas along the route in the region, analyze the impact of factors such as traffic flow, vehicle speed, and vehicle type on energy demand, especially the prediction of electric vehicle charging demand; establish a data collection network covering highway sections and energy facilities along the route in the region, and monitor key indicators such as energy output, consumption, reserves, and traffic flow in real time; process and analyze the collected data, predict energy demand trends, and identify supply and demand imbalance risks; based on the analysis results, formulate cross-regional energy scheduling strategies, optimize energy distribution and transmission paths, and ensure the stability and economy of energy supply.

[0171] The safety control module 3 is used to monitor the operating status of the renewable energy collection module 1 and the multi-energy coupling management module 2 in real time, and send warning instructions and implement emergency measures when a fault state is detected.

[0172] Among them, the safety control module 3 includes an operation status monitoring module and a safety assurance module;

[0173] The operation status monitoring module is used to monitor the operation status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and identify potential failure modes based on the monitoring data of the operation status.

[0174] The operation status monitoring module monitors the operation status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and identifies potential failure modes in combination with the monitoring data of the operation status, including:

[0175] Sensors are used to monitor the operating status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and the monitoring data is transmitted to the highway monitoring center to achieve information sharing with the highway monitoring center; the monitoring data of the operating status is mined and analyzed to identify the potential failure modes of the equipment; the time and type of failure are predicted based on the potential failure modes of the equipment, and equipment maintenance plans are formulated to reduce unplanned downtime.

[0176] It should be noted that sensors are used to monitor the operating status and parameters of each module in real time, realize remote monitoring and automatic adjustment, and upload data to the highway monitoring center to achieve information sharing and collaborative control. In addition, machine learning algorithms such as deep learning and time series analysis are used to mine and analyze the collected monitoring data, identify potential failure modes of equipment in advance, predict the time and type of failure, arrange maintenance plans in advance, reduce unplanned downtime, and thus improve the reliability and stability of the energy system.

[0177] In addition, operating status monitoring and maintenance can also include predictive maintenance and fault response mechanisms. Specifically, predictive maintenance can include: data analysis, using historical data and real-time monitoring data to establish a health status model for the equipment and predict possible failures; and maintenance planning, formulating preventive maintenance plans based on the prediction results to avoid unplanned downtime. Fault response mechanisms can include: automatic alarm, when an abnormality is detected, the system automatically sends an alarm message to the monitoring center and relevant maintenance personnel; and emergency shutdown: when a serious fault is detected, the system automatically executes a safe shutdown procedure to prevent the accident from expanding.

[0178] Since the installation of roadside equipment such as wind power generation equipment, solar photovoltaic power generation equipment, etc. may pose potential risks to driving safety, such as roadside equipment failure, damage to roadside equipment caused by natural disasters, and other threats to vehicle safety, road safety is improved by optimizing wind power generation modules, photovoltaic modules, geothermal collection modules, and operating status monitoring and maintenance.

[0179] The safety assurance module is used to formulate safety assurance measures based on the identified potential failure modes to ensure the stable operation of the renewable energy management module and the multi-energy coupling scheduling module.

[0180] It should be noted that multiple safety measures are adopted, including overload protection (by installing an overload relay, when the current exceeds the rated current of the equipment, the relay will operate, cut off the circuit, and protect the equipment), short-circuit protection (install a short-circuit relay, when the current instantly increases to the short-circuit current level, the relay will quickly operate and cut off the circuit), lightning protection (install lightning rods on buildings or wind turbine towers to guide lightning to the ground and reduce direct damage to equipment, and install lightning arresters in the power system. When the voltage exceeds the normal level, the lightning arrester will introduce the overvoltage into the ground) to ensure that each module can still operate stably in harsh environments. In addition, fault self-diagnosis and alarm functions are set up. Once a fault or abnormal situation is found, an alarm will be immediately issued and corresponding emergency measures will be taken.

[0181] It should be noted that a geothermal well is a well used to extract geothermal energy. It is drilled deep underground and uses the heat energy inside the earth to heat water or other fluids, thereby generating heat that can be used for heating, power generation or other industrial applications.

[0182] A geothermal heat pump is a device that uses geothermal energy for heating and cooling. It extracts heat from underground soil or water sources through a closed circulation system for heating, or releases heat into the ground for cooling.

[0183] Geothermal fluid refers to the fluid containing heat extracted from geothermal wells, usually including hot water, steam or other gases.

[0184] Heat exchangers are used to transfer heat between two or more fluids. The working principle of heat exchangers is based on the basic principles of heat transfer, such as convection, conduction and radiation.

[0185] The circulating medium is a substance used as a working medium in a thermodynamic cycle, such as steam, gas, liquid or a mixture thereof. The circulating medium transfers heat between the heat source and the cold source.

[0186] A circulation pump is a pump used to force flow in a closed system to maintain the circulation of the fluid. The main functions of a circulation pump are to ensure that the fluid is evenly distributed in the system, to ensure efficient heat exchange, and to prevent stagnation of the fluid.

[0187] A geothermal generator is a device that uses the heat from the Earth's interior to generate electricity.

[0188] A wind turbine is a device that uses wind power to generate electricity.

[0189] The wind rotor is the most important part of a wind turbine, used to capture wind energy and convert it into mechanical energy. The wind rotor is usually composed of multiple blades that are designed to effectively capture wind and generate rotational motion.

[0190] Speed ​​increaser (used in wind turbines to increase the speed of the wind rotor so that it better matches the design speed of the generator. The function of the speed increaser is to increase the lower speed of the wind rotor to a speed suitable for the generator.

[0191] Photovoltaic panels, also known as solar panels or photovoltaic panels, are devices that use solar cells to convert sunlight into electrical energy.

[0192] An inverter is a power electronic device used to convert DC power into AC power. In a solar photovoltaic module, the role of the inverter is to convert the DC power generated by the solar panel into AC power suitable for the power grid.

[0193] Lithium-ion batteries are high energy density rechargeable batteries widely used in energy storage systems. The working principle of lithium-ion batteries is based on the insertion and deinsertion of lithium ions between the positive and negative electrodes, and the migration of lithium ions in the electrolyte.

[0194] A supercapacitor, also known as an ultracapacitor or supercapacitor, is a capacitor that can store and release large amounts of electrical energy. Supercapacitors have a higher energy density than traditional capacitors, but are generally lower than batteries.

[0195] The heating cycle module is a device used to control and regulate the heating system.

[0196] The refrigeration cycle module is a device used to control and regulate the refrigeration system.

[0197] The domestic hot water circulation module is a device used to control and regulate the domestic hot water supply system.

[0198] An electric heater is a device that uses electrical energy to generate heat.

[0199] A control system is a device used to control and regulate the behavior of a system.

[0200] Real-time monitoring system is a technical system used to monitor and record data in real time.

[0201] The multi-energy coupling scheduling model is a model used to optimize the scheduling and operation of multi-energy systems. This model takes into account the coupling relationship between three different energy sources: geothermal energy, wind energy, and solar energy, to achieve efficient energy utilization and optimized operation of the system.

[0202] In summary, with the help of the above technical solutions of the present invention, the present invention provides a new multi-energy coupling energy storage and heat exchange system suitable for highways, ensuring that energy can be stably and efficiently collected and utilized under various conditions, and through the optimization and complementarity of three renewable energy sources under different conditions, to meet the continuous energy needs of highways, thereby improving the overall energy utilization efficiency through the integration of efficient conversion equipment and optimization systems, thereby reducing operating costs. The present invention effectively couples geothermal energy, solar energy and wind energy with seasonal and temporal differences and realizes the complementarity of these three energy sources to ensure a continuous and stable power supply, while improving the overall energy utilization efficiency through efficient heat exchange technology, and providing customized energy solutions according to the differences in energy needs of different areas of highways (such as service areas, tunnels, toll stations, etc.), reducing highway operating costs, and promoting the green energy transformation of highways.

[0203] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A new multi-energy coupling energy storage and heat exchange system suitable for highways, characterized in that: The new multi-energy coupling energy storage and heat exchange system suitable for highways includes a renewable energy collection module, a multi-energy coupling management module and a safety control module; The renewable energy collection module is used to convert the pre-collected renewable energy into electrical energy, wherein the renewable energy includes geothermal energy, wind energy and solar energy; The multi-energy coupling management module is used to store and manage the heat exchange of the converted electric energy, and to establish a multi-energy coupling scheduling model to achieve coordinated allocation among renewable energy sources; The safety control module is used to monitor the operating status of the renewable energy collection module and the multi-energy coupling management module in real time, and send early warning instructions and implement emergency measures when a fault state is detected.

2. According to claim 1, a new multi-energy coupling energy storage and heat exchange system suitable for highways is characterized in that: The renewable energy collection module includes a geothermal collection module, a wind power generation module and a solar photovoltaic module; The geothermal collection module is used to obtain geothermal energy using thermal energy collection equipment and transfer it to the circulating working fluid, thereby promoting the flow of the circulating working fluid to achieve the conversion between geothermal energy and electrical energy; The wind power generation module is used to obtain wind energy from wind power generation equipment and convert it into electrical energy, and then perform optimized control on the wind power generation equipment in combination with independent variable pitch control technology; The solar photovoltaic module is used to utilize solar energy collection equipment to obtain solar energy and convert it into electrical energy, and then combines photovoltaic tracking technology to perform optimal control on the solar energy collection equipment.

3. According to claim 2, a new multi-energy coupling energy storage and heat exchange system suitable for highways is characterized in that: The wind power generation module, when combined with the independent pitch control technology to perform optimized control on the wind power generation equipment, includes: Collect the operating parameters of the wind power generation equipment, use the wind speed as the self-control interference, the pitch angle as the control quantity, and the overturning moment and yaw moment of the hub center as the output feedback quantity, and perform inverse transformation on the gravity bending moment of the blade, wind speed and pitch angle in turn; The pitch angle requirement value obtained by the inverse transformation is transformed into the control amount of the actual deviation pitch change to obtain the additional pitch angle expected by the independent pitch change; The additional pitch angle expected by the independent pitch change and the predefined pitch angle are superimposed to obtain the pitch angle control amount of the wind power generation equipment, and the wind power generation equipment is optimally controlled based on the pitch angle control amount.

4. According to claim 3, a new multi-energy coupling energy storage and heat exchange system suitable for highways is characterized in that: The multi-energy coupling management module includes an energy storage module, a multi-energy coupling scheduling module, a high-efficiency heat exchange module and a cross-regional energy scheduling module; The energy storage module is used to optimize the charging and discharging strategy of the energy storage device in combination with the energy demand of the highway and the power feedback signal; The multi-energy coupling scheduling module is used to adjust the operating states of the geothermal collection module, the wind power generation module and the solar photovoltaic module by using the energy coupling scheduling model to achieve optimal configuration among renewable energy sources; The efficient heat exchange module is used to coordinately optimize the charging and discharging strategies of the energy storage equipment and the operating parameters of the heat exchange system using a multi-objective optimization algorithm, and provide infrastructure services for highways based on the conversion and utilization of electric energy; The cross-regional energy scheduling is used to identify the difference between energy output and energy demand in different areas of the highway, and formulate a cross-regional energy scheduling strategy after predicting energy demand based on the energy difference.

5. According to claim 4, a new multi-energy coupling energy storage and heat exchange system suitable for highways is characterized in that: The energy storage module includes the following when optimizing the charging and discharging strategy of the energy storage device in combination with the energy demand of the highway and the power feedback signal: Extract the electric energy released by the conversion of geothermal collection module, wind power generation module and solar photovoltaic module and extract the electric energy data; Combine power data with highway energy demand and power feedback signals, and use reinforcement learning algorithms to adjust the charging and discharging strategies of energy storage devices; The charging and discharging strategy of the energy storage device includes charging the energy storage device during a period of low power consumption of the energy storage device, and discharging the energy storage device during a period of high power consumption of the energy storage device.

6. According to claim 5, a new multi-energy coupling energy storage and heat exchange system suitable for highways is characterized in that: The multi-energy coupling scheduling module uses the energy coupling scheduling model to adjust the operating states of the geothermal collection module, the wind power generation module and the solar photovoltaic module to achieve optimal configuration among renewable energy sources, including: Use time series analysis technology to predict highway traffic flow and meteorological conditions and evaluate highway equipment energy demand; Dynamically adjust the output power of highway energy stations and the charging and discharging strategies of energy storage equipment based on the energy demand of highway equipment; A multi-energy coupling scheduling model is established, and the operating status of the geothermal collection module, wind power generation module and solar photovoltaic module is adjusted using the multi-energy coupling scheduling model based on the energy demand of highway equipment.

7. A multi-energy coupling new energy storage and heat exchange system suitable for highways according to claim 6, characterized in that: The multi-energy coupling scheduling model is established, and the operation status of the geothermal collection module, the wind power generation module and the solar photovoltaic module is adjusted by using the multi-energy coupling scheduling model based on the energy demand of the equipment of the highway, including: Based on the power of renewable energy and the energy demand of highway equipment, an optimization scenario of highway multi-energy coupling scheduling is constructed, and the peak and valley boundaries of the multi-energy coupling scheduling model are obtained by shaving the peak of energy demand and filling the valley. The power of renewable energy and the energy demand of highway equipment are used as the input layer, and the peak-valley boundary of the multi-energy coupling scheduling model after peak shaving and valley filling is used as the output layer. The convolutional neural network is used to generate the peak-valley boundary estimation model of the multi-energy coupling scheduling model. The peak-valley boundary prediction model based on the multi-energy coupling scheduling model predicts the peak-valley boundary applicable to the future time period of the highway, and transmits the peak-valley boundary to the energy storage module for peak regulation. The energy storage module distributes the electric energy stored in the energy storage module to the high-efficiency heat exchange module and the power grid according to the peak-valley boundaries of the highway in the future time period.

8. The multi-energy coupling new energy storage and heat exchange system suitable for highways according to claim 7 is characterized in that: The safety control module includes an operation status monitoring module and a safety assurance module; The operation status monitoring module is used to monitor the operation status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and identify potential failure modes in combination with the monitoring data of the operation status; The safety assurance module is used to formulate safety assurance measures based on the identified potential failure modes to ensure the stable operation of the renewable energy management module and the multi-energy coupling scheduling module.

9. The multi-energy coupling new energy storage and heat exchange system suitable for highways according to claim 8 is characterized in that: The operation status monitoring module monitors the operation status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and identifies potential failure modes in combination with the monitoring data of the operation status, including: Use sensors to monitor the operating status of the renewable energy management module and the multi-energy coupling scheduling module in real time, and transmit the monitoring data to the highway monitoring center to achieve information sharing with the highway monitoring center; Mining and analyzing the monitoring data of the operating status to identify the potential failure modes of the equipment; Predict when and what type of failure will occur based on the potential failure modes of the equipment, and develop equipment maintenance plans to reduce unplanned downtime.

10. A multi-energy coupling new energy storage and heat exchange system suitable for highways according to claim 9, characterized in that: The calculation formula of the additional pitch angle expected by the independent pitch control is: In the formula, represents the additional pitch angle expected by independent pitch control after inverse transformation; δ represents the pitch angle during the actual pitch change process; b i represents the initial pitch angle of the blade.

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