Energy storage method and device for expressway network service area and power consumption area, medium and equipment

Abstract

The application relates to a highway network service area and power consumption area energy storage method, device, medium and equipment, wherein the method comprises the following steps: acquiring average light intensity and average wind speed of the highway network service area and power consumption area within a preset time; calculating a first ratio of the average light intensity and a standard light intensity, and calculating a second ratio of the average wind speed and a standard wind speed; if an absolute value of a difference between the first ratio and the second ratio is less than a difference threshold value, obtaining a solar energy resource evaluation result of the highway network service area and power consumption area by using a SMARTS model, and obtaining a wind energy resource evaluation result by using a CFD model; determining an energy storage form of the highway network service area and power consumption area according to the solar energy resource evaluation result and the wind energy resource evaluation result, wherein the energy storage form comprises wind energy storage and / or solar energy storage; and storing energy by using the energy storage form of the highway network service area and power consumption area. The application has the effect of fully utilizing the local renewable energy of the highway network service area and power consumption area.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information processing, in particular to a highway network service area and power consumption area energy storage method, device, medium and equipment. BACKGROUND

[0002] With the development of industrialization and urbanization, highways become more and more important. In recent years, the mileage of highways has been increasing, and the operation and power supply of highway network has become very important. Among them, a highway service area is set at a distance in the highway network, and the highway service area is a place specially for passengers and drivers to rest. The charging pile, lighting system and other devices set in the highway service area need to consume electric energy. Other power consumption areas such as street lamps on highways also consume electric energy.

[0003] Although some energy conversion devices using renewable energy are set in the highway network to supplement the electric energy of the highway service area and the power consumption area, such as solar panels, wind power generation equipment, etc. These energy conversion devices are usually installed with the highway network, among which the installation proportion of solar panels and wind power generation equipment is almost the same, resulting in that the local renewable energy (solar energy and wind energy) of the highway service area and the power consumption area is not fully utilized. SUMMARY

[0004] In order to fully utilize the local renewable energy of the highway service area and the power consumption area, the present application provides a highway network service area and power consumption area energy storage method, device, medium and equipment.

[0005] In a first aspect of the present application, a highway network service area and power consumption area energy storage method is provided, which specifically comprises:

[0006] Obtaining the average light intensity and the average wind speed of the highway network service area and the power consumption area within a preset time;

[0007] Calculating the first ratio of the average light intensity to the standard light intensity, and calculating the second ratio of the average wind speed to the standard wind speed;

[0008] Based on the first ratio and the second ratio, determining the energy storage form of the highway network service area and the power consumption area, the energy storage form including wind energy storage and / or solar energy storage;

[0009] Using the energy storage form of the highway network service area and the power consumption area for energy storage.

[0010] By adopting the technical scheme, the first ratio and the second ratio calculated can better reflect the quality of local solar energy resources and wind energy resources. The greater the ratio, the higher the quality. Based on the size relationship between the first ratio and the second ratio calculated, the renewable energy with the optimal quality between solar energy and wind energy is compared, and the energy storage form of the service area and power consumption area of the expressway network is further determined for energy storage, so that the local renewable energy of the service area and power consumption area of the expressway network is fully utilized.

[0011] Optionally, the energy storage form of the service area and power consumption area of the expressway network is determined based on the first ratio and the second ratio, and the energy storage form includes wind energy storage and / or solar energy storage, and includes:

[0012] The absolute value of the difference between the first ratio and the second ratio is compared with a difference threshold value. If the absolute value is less than the difference threshold value, the SMARTS model is adopted to obtain a solar energy resource evaluation result of the service area and power consumption area of the expressway network, and the CFD model is adopted to obtain a wind energy resource evaluation result of the service area and power consumption area of the expressway network.

[0013] According to the solar energy resource evaluation result and the wind energy resource evaluation result, the energy storage form of the service area and power consumption area of the expressway network is determined, and the energy storage form includes wind energy storage and / or solar energy storage.

[0014] If the absolute value is not less than the difference threshold value, the first ratio is compared with the second ratio. If the first ratio is greater than the second ratio, solar energy is taken as the energy storage form of the service area and power consumption area of the expressway network.

[0015] If the first ratio is less than the second ratio, wind energy is taken as the energy storage form of the service area and power consumption area of the expressway network.

[0016] By adopting the technical scheme, the first ratio and the second ratio are subtracted and then the absolute value is taken. If the absolute value is less than the difference threshold value, it indicates that the quality of local wind energy resources and solar energy resources is relatively small. Then, the SMARTS model is adopted to evaluate the solar energy resources, the CFD model is adopted to evaluate the wind energy resources, and the advantages and disadvantages of the evaluation results are compared to determine the energy storage form. If the absolute value is not less than the difference threshold value, it indicates that the quality of local wind energy resources and solar energy resources is relatively large. Then, the first ratio and the second ratio are compared in size. If the first ratio is greater than the second ratio, the quality of solar energy resources is better than that of wind energy resources, and solar energy resources are preferentially taken as the energy storage form. If the first ratio is less than the second ratio, the quality of wind energy resources is better than that of solar energy resources, and wind energy resources are preferentially taken as the energy storage form, so that the local renewable energy can be fully utilized when the service area and power consumption area of the expressway network are stored.

[0017] Optionally, the energy storage in the form of the energy storage area of the expressway network service area and the power consumption area comprises:

[0018] The energy consumption peak value of the expressway network service area and the power consumption area in the preset period is predicted by using the trained energy consumption prediction model;

[0019] The energy storage value of the expressway network service area and the power consumption area is determined according to the energy consumption peak value, and the energy storage in the form of the energy storage area of the expressway network service area and the power consumption area is performed according to the energy storage value.

[0020] By using the above technical solution, the preset period is taken as the input of the trained energy consumption prediction model, and the energy consumption peak value of the preset period can be predicted by the energy consumption prediction model, that is, the maximum power consumption of the expressway network service area and the power consumption area in the preset period. Then, the energy storage value of the power that ensures the normal operation of the expressway network service area and the power consumption area when the power grid power supply is insufficient is determined according to the energy consumption peak value, and finally the energy storage system is pre-stored according to the energy storage value, so as to avoid the problem of power shortage of the expressway network service area and the power consumption area at the power consumption peak.

[0021] Optionally, the energy storage in the form of the energy storage area of the expressway network service area and the power consumption area comprises:

[0022] The energy consumption peak value is compared with a preset energy consumption threshold value, if the energy consumption peak value is greater than the preset energy consumption threshold value, the peak energy consumption value is subtracted from the preset energy consumption threshold value to obtain an energy storage supplement value;

[0023] The actual supplement value is obtained by adding a loss compensation value to the energy storage supplement value;

[0024] According to the actual supplement value, the actual supplement value is taken as the energy storage value, and the energy storage in the form of the energy storage area of the expressway network service area and the power consumption area is performed according to the energy storage value.

[0025] By using the above technical solution, when the energy consumption peak value is greater than the preset energy consumption threshold value, it indicates that when the power consumption peak comes, the power grid power supply may not be enough, and the power stored by the expressway network service area and the power consumption area needs to be used. The difference between the energy consumption peak value and the preset energy consumption threshold value is taken as the energy storage supplement value, that is, the power that should be supplemented when the power supply is insufficient. Since there is a capacity loss in the energy storage process, the actual energy storage value is the energy storage supplement value plus the loss compensation value. Thus, the stored power can adaptively supplement the gap of the power grid power supply, and ensure the normal operation of the expressway network service area and the power consumption area.

[0026] Optionally, before the actual supplement value is obtained by adding the loss compensation value to the energy storage supplement value, the method further comprises:

[0027] According to the energy storage form, an energy storage attenuation characteristic of the corresponding energy storage medium is obtained.

[0028] According to the energy storage attenuation characteristic, an energy storage loss value of the service area and the power consumption area of the expressway network is calculated and used as the loss compensation value.

[0029] By adopting the above technical solution, according to the determined energy storage form (solar energy and wind energy), the most suitable energy storage medium for the energy storage form is selected, and the energy storage attenuation characteristic of the energy storage medium, i.e. the leakage condition after energy storage, is obtained. The energy storage loss value after energy storage from the energy storage system can be calculated through the energy storage attenuation characteristic, and finally the energy storage loss value is used as the loss compensation value.

[0030] Optionally, before the energy consumption peak value of the service area and the power consumption area of the expressway network is predicted by using the trained energy consumption prediction model, the method further comprises:

[0031] Historical energy consumption data of the service area and the power consumption area of the expressway network in a preset period is obtained.

[0032] The historical energy consumption data is divided into a training set and a verification set according to a preset ratio.

[0033] The energy consumption prediction model is trained based on the training set and the verification set, and a trained energy consumption prediction model is obtained.

[0034] By adopting the above technical solution, the historical energy consumption data obtained in the preset period is divided into a training set and a verification set, the energy consumption prediction model is trained by using the training set, the model parameters are updated according to the prediction effect of the model, then the verification set is used to continue to verify and train the energy consumption prediction model, the model parameters are adjusted according to the effect of the model in the verification set, so that the trained energy consumption prediction model with the best effect is obtained, and the prediction accuracy of the model is higher.

[0035] Optionally, the energy storage form of the service area and the power consumption area of the expressway network is determined according to the solar energy resource evaluation result and the wind energy resource evaluation result, and the method comprises:

[0036] The photoelectric conversion efficiency and the wind power conversion efficiency of the service area and the power consumption area of the expressway network are obtained.

[0037] The solar energy conversion value is obtained by multiplying the solar energy resource evaluation result by the photoelectric conversion efficiency, and the wind energy conversion value is obtained by multiplying the wind energy resource evaluation result by the wind power conversion efficiency.

[0038] According to the size relationship between the solar energy conversion value and the wind energy conversion value, the energy storage form of the service area and the power consumption area of the expressway network is determined.

[0039] By adopting the technical scheme, after the solar energy resource evaluation result and the wind energy resource evaluation result of the service area and the power consumption area of the expressway network are obtained through model calculation, the actual situation of the energy conversion equipment of the service area and the power consumption area of the expressway network is input through the user terminal, the photoelectric conversion efficiency and the wind power conversion efficiency are input, then the electric energy converted from the solar energy resource (solar energy conversion value) and the electric energy converted from the wind energy resource (wind energy conversion value) are calculated respectively, the two are compared, and the resource corresponding to the larger value is taken as the final energy storage form, so that the local renewable energy is fully utilized.

[0040] In a second aspect of the present application, an energy storage device for a service area and a power consumption area of an expressway network is provided, which specifically comprises:

[0041] An information acquisition module is configured to acquire average light intensity and average wind speed of the service area and the power consumption area of the expressway network within a preset time;

[0042] A ratio calculation module is configured to calculate a first ratio of the average light intensity to a standard light intensity, and calculate a second ratio of the average wind speed to a standard wind speed;

[0043] An energy storage determination module is configured to determine an energy storage form of the service area and the power consumption area of the expressway network based on the first ratio and the second ratio, wherein the energy storage form comprises wind energy storage and / or solar energy storage;

[0044] A power storage module is configured to store energy by using the energy storage form of the service area and the power consumption area of the expressway network.

[0045] By adopting the technical scheme, after the information acquisition module acquires the average light intensity and the average wind speed of the service area and the power consumption area of the expressway network, the first ratio and the second ratio are calculated by the ratio calculation module, then the optimal energy storage form is determined by the energy storage determination module based on the size relationship between the first ratio and the second ratio, and finally the power storage module stores energy according to the determined energy storage form.

[0046] In summary, the present application has at least one of the following beneficial technical effects:

[0047] 1. The first ratio and the second ratio calculated can better reflect the quality of local solar energy resources and wind energy resources. The larger the ratio, the higher the quality. After taking the absolute value of the difference between the first ratio and the second ratio, if the absolute value is less than the difference threshold, it means that the quality of local wind energy and solar energy resources is relatively small. Then, the SMARTS model is used to evaluate the solar energy resources, and the CFD model is used to evaluate the wind energy resources. The advantages and disadvantages of the evaluation results of the two are compared to further determine the energy storage form used by the highway network service area and power consumption area for energy storage, so that the local renewable energy of the highway network service area and power consumption area can be fully utilized.

[0048] 2. The preset period is used as the input of the completed energy consumption prediction model. The energy consumption peak value of the preset period, that is, the maximum power consumption of the highway network service area and power consumption area in the preset period, can be predicted by the energy consumption prediction model. Then, the energy consumption peak value is used as the basis to determine the energy storage value of the power that ensures the normal operation of the highway network service area and power consumption area when the power grid is insufficient. Finally, the energy storage system stores energy in advance according to the energy storage value, so as to avoid the problem of power shortage of the highway network service area and power consumption area at the power consumption peak. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 is a flowchart of a highway network service area and power consumption area energy storage method provided by an embodiment of the present application;

[0050] Figure 2 is a flowchart of another highway network service area and power consumption area energy storage method provided by an embodiment of the present application;

[0051] Figure 3 is a structural diagram of a highway network service area and power consumption area energy storage device provided by an embodiment of the present application;

[0052] Figure 4 is a structural diagram of another highway network service area and power consumption area energy storage device provided by an embodiment of the present application.

[0053] Marked with a symbol: 11, information acquisition module; 12, ratio calculation module; 13, energy storage determination module; 14, power storage module. DETAILED DESCRIPTION

[0054] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be described clearly and completely in conjunction with the drawings in the embodiment of the specification. Obviously, the described embodiments are only part of the embodiments of the present application, not all embodiments.

[0055] In the description of the embodiments of the present application, the words "exemplary", "for example", or "e.g." are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary", "for example", or "e.g." should not be construed as preferred or advantageous over other embodiments or designs. Rather, the word "exemplary", "for example", or "e.g." is used to present concepts in a concrete manner.

[0056] Referring to Figure 1 The embodiments of the present application disclose a flowchart of a highway network service area and power consumption area energy storage method, which can be realized by relying on a computer program and can also run on a highway network service area and power consumption area energy storage device based on the von Neumann system. The computer program can be integrated in an application or can run as an independent tool application. Specifically, the computer program comprises the following steps:

[0057] S101: Obtain the average light intensity and the average wind speed in a preset time of the highway network service area and the power consumption area.

[0058] Specifically, the light intensity is a physical term, which refers to the luminous flux of visible light received per unit area. The unit is lux (Lux or lx). The light intensity in the preset time of the highway network service area and the power consumption area is measured by a preset photoelectric sensor. The wind speed in the preset time of the highway network service area and the power consumption area is measured by a preset anemometer. After the light intensity and the wind speed in the preset time are measured, the average light intensity and the average wind speed in the preset time are calculated by the average number formula, respectively. For example, the preset time is 10 days, the average light intensity is calculated by the light intensity measured in 10 days, and the average wind speed is calculated by the wind speed measured in 10 days.

[0059] S102: Calculate the first ratio of the average light intensity to the standard light intensity, and calculate the second ratio of the average wind speed to the standard wind speed.

[0060] Specifically, the standard light intensity is the minimum light intensity suitable for converting solar energy into electrical energy. The standard wind speed is the minimum wind speed suitable for converting wind energy into electrical energy. After obtaining the average light intensity and the average wind speed, the average light intensity is divided by the standard light intensity to obtain the first ratio. When the average light intensity is not greater than the standard light intensity, the larger the first ratio, the closer the average light intensity is to the standard light intensity. When the average light intensity is greater than the standard light intensity, the larger the first ratio, the more the average light intensity exceeds the standard light intensity. Therefore, the first ratio can objectively reflect the solar energy resource quality of the region. Similarly, the second ratio obtained by dividing the average wind speed by the standard wind speed can also objectively reflect the wind energy resource quality of the region.

[0061] S103: determining the energy storage form of the service area and the power consumption area of the expressway network based on the first ratio and the second ratio, the energy storage form including wind energy storage and / or solar energy storage.

[0062] In a feasible implementation, in one embodiment, step S103 can also be:

[0063] comparing the absolute value of the difference between the first ratio and the second ratio with a difference threshold value, if the absolute value is less than the difference threshold value, obtaining the solar energy resource evaluation result of the service area and the power consumption area of the expressway network by using the SMARTS model, and obtaining the wind energy resource evaluation result of the service area and the power consumption area of the expressway network by using the CFD model;

[0064] determining the energy storage form of the service area and the power consumption area of the expressway network according to the solar energy resource evaluation result and the wind energy resource evaluation result, the energy storage form including wind energy storage and / or solar energy storage;

[0065] if the absolute value is not less than the difference threshold value, comparing the first ratio with the second ratio, if the first ratio is greater than the second ratio, taking the solar energy as the energy storage form of the service area and the power consumption area of the expressway network;

[0066] if the first ratio is less than the second ratio, taking the wind energy as the energy storage form of the service area and the power consumption area of the expressway network.

[0067] Specifically, the difference threshold value is the maximum difference value allowed to be ignored between the first ratio and the second ratio. After the difference between the first ratio and the second ratio is obtained, the absolute value of the difference is taken, and the absolute value is compared with the difference threshold value. If the absolute value is less than the difference threshold value, it indicates that the difference between the first ratio and the second ratio is small, which is within the range allowed to be ignored, and further indicates that the difference between the solar energy resource quality and the wind energy resource quality of the region is small. Further, in the embodiment of the present application, the solar energy resource is evaluated by using the SMARTS model (simple model of atmospheric radiative and transfer of sunshine), wherein the expression of the SMARTS model is: Q=Q0(a+bs), in which: Q represents the solar energy resource evaluation result; Q0 represents the initial value used for calculation (which is the ideal total atmospheric radiation); a and b represent empirical coefficients, reflecting the influence of main factors such as cloud, aerosol and water vapor on the intensity of solar radiation; and s represents the sunshine percentage, i.e. the ratio of actual sunshine time to possible sunshine time, which in the present application is the ratio of actual sunshine time to possible sunshine time in the preset time in the service area and the power consumption area of the expressway network.

[0068] Further, the wind energy resources of the region are evaluated by using a Computational Fluid Dynamics (CFD) model. The CFD model can effectively overcome the limitation of spatial precision and realize simulation of a three-dimensional wind field structure in a complex terrain obstacle environment based on a self-defined grid under a given boundary field condition. The preset boundary condition and initial condition are input into the CFD model, and the wind energy resource evaluation result of the region can be obtained, wherein the initial condition is the wind speed of the preset time of the region. Finally, based on the solar energy resource evaluation result and the wind energy resource evaluation result, the efficiency of the conversion of the solar energy resource and the wind energy into electric energy is determined, and the efficiency is used to determine the final energy storage form.

[0069] If the absolute value is not less than the difference threshold value, it indicates that the first ratio and the second ratio are greatly different, and then the two are compared in size. If the first ratio is greater than the second ratio, the average illumination intensity of the highway network service area and the power consumption area is closer to the standard illumination intensity or exceeds the standard illumination intensity more, indicating that the quality of the solar energy resource is better than that of the wind energy resource, and therefore the solar energy resource is used as the energy storage form of the highway network service area and the power consumption area. In other embodiments, the solar energy resource can also be used as the main energy storage form of the highway network service area and the power consumption area, that is, the wind power generation assembly is also arranged, but the proportion is smaller than that of the solar photovoltaic assembly.

[0070] If the absolute value is not less than the difference threshold value, it indicates that the first ratio and the second ratio are greatly different, and then the two are compared in size. If the first ratio is greater than the second ratio, the average illumination intensity of the highway network service area and the power consumption area is closer to the standard illumination intensity or exceeds the standard illumination intensity more, indicating that the quality of the solar energy resource is better than that of the wind energy resource, and therefore the solar energy resource is used as the energy storage form of the highway network service area and the power consumption area. In other embodiments, the solar energy resource can also be used as the main energy storage form of the highway network service area and the power consumption area, that is, the wind power generation assembly is also arranged, but the proportion is smaller than that of the solar photovoltaic assembly.

[0071] S104: Energy is stored in the energy storage form of the highway network service area and the power consumption area.

[0072] Specifically, after the energy storage form of the highway network service area and the power consumption area is determined, the corresponding energy storage can be performed by a micro-energy network in the present application. The micro-energy network is a small comprehensive energy supply network integrating an energy interconnection system, a conversion system, a coupling system, an energy storage system, etc. For example, if the determined energy storage form is solar energy, the electric energy converted from the solar energy by the solar cell panel is stored by the lithium battery in the energy storage system.

[0073] Referring to Figure 2The embodiment of the application discloses another flowchart of a highway network service area and power consumption area energy storage method, which can be realized by relying on a computer program and can run on a highway network service area and power consumption area energy storage device based on a von Neumann system. The computer program can be integrated in an application or run as an independent tool application, and specifically includes:

[0074] S201: average light intensity and average wind speed of the highway network service area and power consumption area within a preset time are obtained.

[0075] S202: a first ratio of the average light intensity to a standard light intensity is calculated, and a second ratio of the average wind speed to a standard wind speed is calculated.

[0076] Specifically, steps S101-S102 are not repeated here.

[0077] S203: the absolute value of the difference between the first ratio and the second ratio is compared with a difference threshold value, if the absolute value is less than the difference threshold value, the SMARTS model is used to obtain the solar energy resource evaluation result of the highway network service area and power consumption area, and the CFD model is used to obtain the wind energy resource evaluation result of the highway network service area and power consumption area.

[0078] Specifically, refer to step 103, which is not repeated here.

[0079] S204: according to the solar energy resource evaluation result and the wind energy resource evaluation result, the energy storage form of the highway network service area and power consumption area is determined, and the energy storage form includes wind energy storage and / or solar energy storage.

[0080] In a feasible implementation manner, in one embodiment, the photoelectric conversion efficiency and the wind power conversion efficiency of the highway network service area and power consumption area are obtained;

[0081] The solar energy resource evaluation result is multiplied by the photoelectric conversion efficiency to obtain a solar energy conversion value, and the wind energy resource evaluation result is multiplied by the wind power conversion efficiency to obtain a wind energy conversion value;

[0082] According to the size relationship between the solar energy conversion value and the wind energy conversion value, the energy storage form of the highway network service area and power consumption area is determined.

[0083] Specifically, after obtaining the solar energy resource evaluation result and the wind energy resource evaluation result, the user terminal inputs the photoelectric conversion efficiency and the wind power conversion efficiency of the service area and the power consumption area of the expressway network. The user terminal can use a computer or a smart phone, and in other embodiments, a tablet computer can also be used. The photoelectric conversion efficiency refers to the efficiency of converting solar energy into electrical energy by a solar panel in a solar photovoltaic system. The wind power conversion efficiency refers to the conversion efficiency of converting wind energy into electrical energy by a wind turbine. Then, the solar energy resource evaluation result is multiplied by the photoelectric conversion efficiency to obtain a solar conversion value, i.e., the electrical energy that can be converted from the solar energy resources of the service area and the power consumption area of the expressway network. The wind energy resource evaluation result is multiplied by the wind power conversion efficiency to obtain a wind conversion value, i.e., the electrical energy that can be converted from the wind energy resources of the service area and the power consumption area of the expressway network. Finally, the two are compared, and the resource with the largest converted electrical energy is selected as the final energy storage form.

[0084] S205: If the absolute value is not less than the difference threshold value, the first ratio is compared with the second ratio. If the first ratio is greater than the second ratio, solar energy is selected as the energy storage form of the service area and the power consumption area of the expressway network.

[0085] S206: If the first ratio is less than the second ratio, wind energy is selected as the energy storage form of the service area and the power consumption area of the expressway network.

[0086] Specifically, reference is not made to step S103.

[0087] S207: Historical energy consumption data in a preset time period of the service area and the power consumption area of the expressway network is obtained.

[0088] Specifically, the historical energy consumption data with storage records is obtained by connecting to the power monitoring platform matched with the service area and the power consumption area of the expressway network, and the historical energy consumption data in the preset time period is found by using a time range keyword. For example, the preset time period can be the historical energy consumption data from November to December in the past 5 years.

[0089] S208: The historical energy consumption data is divided into a training set and a validation set according to a preset ratio.

[0090] S209: The energy consumption prediction model is trained based on the training set and the validation set to obtain a trained energy consumption prediction model.

[0091] Specifically, the preset ratio is 4:1, and the historical energy consumption data is divided into a training set and a validation set according to the ratio of 4:1. For example, the number of historical energy consumption data is 100, and the historical energy consumption data is divided into 5 equal parts, of which 4 equal parts are the training set, the number of the training set is 80, and the remaining 1 part is the validation set, the number of the validation set is 20. It should be noted that in other embodiments, the ratio can also be 9:1.

[0092] The five-fold cross-validation method adopted in the embodiments of the present application is used to train the energy consumption prediction model by dividing the training set and the validation set. The energy consumption prediction model is a deep neural network model. In other embodiments, the energy consumption prediction model can also use a convolutional neural network. The deep neural network is one of the most representative machine learning models in the field of artificial intelligence, and its calculation process is simple and easy to understand, and it has strong data fitting capability. The data in the training set is used to train the energy consumption prediction model, the hyperparameters of the energy consumption prediction model are determined according to the training effect on the training set, and finally the validation set is used to train and verify the energy consumption prediction model again, and the best hyperparameters are determined according to the best effect on the validation set, so as to obtain the trained energy consumption prediction model.

[0093] S210: The trained energy consumption prediction model is used to predict the energy consumption peak value of the service area and the power consumption area of the expressway network in the preset period.

[0094] Specifically, after obtaining the trained energy consumption prediction model, a certain time in the preset period is taken as the input of the energy consumption prediction model. The energy consumption at a certain time node in the preset period can be predicted by the energy consumption prediction model. After multiple inputs and predictions, the energy consumption peak value in the preset period can be obtained. For example, the preset period is from November to December, and the energy consumption prediction model is input with November and December of the current year as the time node. The energy consumption prediction model predicts the corresponding energy consumption. Then, the maximum energy consumption in November and December is taken as the energy consumption peak value in the preset period. It should be noted that in other embodiments, the time span of the preset period can be larger, and the time node can be reduced to xx month xx day.

[0095] In a feasible implementation, in one embodiment, after step S210, the following steps can also be performed: determining the energy storage value of the service area and the power consumption area of the expressway network according to the energy consumption peak value, and storing energy in the form of energy storage of the service area and the power consumption area of the expressway network according to the energy storage value.

[0096] S211: Comparing the energy consumption peak value with the preset energy consumption threshold value, if the energy consumption peak value is greater than the preset energy consumption threshold value, then the difference between the energy consumption peak value and the preset energy consumption threshold value is obtained, and the energy storage supplement value is obtained.

[0097] Specifically, the energy consumption peak value of the preset period predicted by the energy consumption prediction model is compared with the preset energy consumption threshold value. The preset energy consumption threshold value is the maximum energy consumption provided by the power grid. If the energy consumption peak value is greater than the preset energy consumption threshold value, it means that the energy consumption provided by the power grid is not enough in this period. Then, the difference between the energy consumption peak value and the preset energy consumption threshold value is calculated to obtain the energy storage supplement value, i.e., the power provided by the energy storage system.

[0098] S212: Obtaining the energy storage attenuation characteristics of the corresponding energy storage medium according to the energy storage form;

[0099] S213: According to the energy storage attenuation characteristics, the energy storage loss value of the highway network service area and the power consumption area is calculated and used as the loss compensation value.

[0100] Specifically, after determining the energy storage form of the highway network service area and the power consumption area, the most suitable energy storage medium (mainly battery) is determined according to the energy storage form, that is, the energy storage medium with the highest energy conversion efficiency. The energy conversion efficiency is the ratio of the quantity of various energy products produced to the quantity of various energies input for processing and conversion in a certain period. The attenuation characteristics of the battery include capacity decline, internal resistance rise and leakage. In the embodiment of the application, the energy storage attenuation characteristic is leakage, that is, the power decays over time after energy storage. For example, if the determined energy storage form is solar energy, the corresponding energy storage medium is a lithium battery because the energy conversion efficiency of the lithium battery for solar energy is 95%. After the energy storage medium is determined, the energy loss value of the lithium battery in the time period from the end of energy storage to the time node corresponding to the power consumption peak can be obtained according to the preset leakage curve of the lithium battery power over time, and the energy loss value is used as the loss compensation value.

[0101] S214: The loss compensation value is added to the energy storage compensation value to obtain the actual compensation value, which is used as the energy storage value.

[0102] S215: The energy storage form of the highway network service area and the power consumption area is used to store energy according to the energy storage value.

[0103] Specifically, after obtaining the energy storage compensation value, if the energy storage compensation value is used as the final energy storage value of the energy storage system, the actual power provided may not reach the energy storage compensation value due to the decay of the battery power in the energy storage system. Therefore, the loss compensation value is added to the energy storage compensation value to obtain the actual compensation value, which is used as the final energy storage value, so as to better provide the power consumption shortage of the power grid, and thus the normal operation of the highway network service area and the power consumption area is ensured.

[0104] The implementation principle of the highway network service area and the power consumption area energy storage method in the embodiment of the application is as follows: after obtaining the average light intensity and the average wind speed of the highway network service area and the power consumption area, the first ratio of the average light intensity to the standard light intensity is calculated, and the second ratio of the average wind speed to the standard wind speed is calculated. The larger the first ratio, the better the solar energy resource quality of the highway network service area and the power consumption area; the larger the second ratio, the better the wind energy resource quality of the area. Then, the optimal energy storage form of the highway network service area and the power consumption area is determined according to the size relationship between the first ratio and the second ratio, and the local renewable energy is fully utilized.

[0105] The following is an apparatus embodiment of the present application, which can be used to execute the method embodiments of the present application. For details not disclosed in the apparatus embodiments of the present application, refer to the method embodiments of the present application.

[0106] Please refer to Figure 3 , a structural schematic diagram of a highway network service area and power consumption area energy storage device provided by an embodiment of the present application. The highway network service area and power consumption area energy storage device can be realized by software, hardware, or a combination of the two to become all or part of the device. The device 1 includes an information acquisition module 11, a ratio calculation module 12, an energy storage determination module 13, and a power storage module 14.

[0107] The information acquisition module 11 is configured to acquire the average light intensity and the average wind speed of the highway network service area and power consumption area within a preset time;

[0108] The ratio calculation module 12 is configured to calculate a first ratio of the average light intensity to a standard light intensity, and calculate a second ratio of the average wind speed to a standard wind speed;

[0109] The energy storage determination module 13 is configured to determine the energy storage form of the highway network service area and power consumption area based on the first ratio and the second ratio, the energy storage form including wind energy storage and / or solar energy storage;

[0110] The power storage module 14 is configured to store energy in the energy storage form of the highway network service area and power consumption area.

[0111] Optionally, as shown in Figure 3 , the energy storage determination module 13 is specifically configured to:

[0112] Compare the absolute value of the difference between the first ratio and the second ratio with a difference threshold value, if the absolute value is less than the difference threshold value, then use the SMARTS model to obtain the solar energy resource evaluation result of the highway network service area and power consumption area, and use the CFD model to obtain the wind energy resource evaluation result of the highway network service area and power consumption area;

[0113] According to the solar energy resource evaluation result and the wind energy resource evaluation result, determine the energy storage form of the highway network service area and power consumption area, the energy storage form including wind energy storage and / or solar energy storage;

[0114] If the absolute value is not less than the difference threshold value, then compare the first ratio with the second ratio, if the first ratio is greater than the second ratio, then use solar energy as the energy storage form of the highway network service area and power consumption area;

[0115] If the first ratio is less than the second ratio, then use wind energy as the energy storage form of the highway network service area and power consumption area.

[0116] Optionally, the power storage module 14 is specifically configured to:

[0117] The energy consumption prediction model is used to predict the energy consumption peak value of the service area and the power consumption area of the expressway network in a preset time period.

[0118] The energy storage value of the service area and the power consumption area of the expressway network is determined according to the energy consumption peak value, and the energy storage of the service area and the power consumption area of the expressway network is performed according to the energy storage value.

[0119] Optionally, the power energy storage module 14 is specifically further used for:

[0120] The energy consumption peak value is compared with the preset energy consumption threshold value, and if the energy consumption peak value is greater than the preset energy consumption threshold value, the peak energy consumption value is subtracted from the preset energy consumption threshold value to obtain an energy storage supplement value;

[0121] The actual supplement value is obtained by adding the loss compensation value to the energy storage supplement value, and the actual supplement value is used as the energy storage value;

[0122] The energy storage of the service area and the power consumption area of the expressway network is performed according to the energy storage value.

[0123] Optionally, as shown in Figure 4 The device 1 further includes:

[0124] The attenuation feature acquisition module 15 is configured to acquire the energy storage attenuation feature of the corresponding energy storage medium according to the energy storage form;

[0125] The loss compensation determination module 16 is configured to calculate the energy storage loss value of the service area and the power consumption area of the expressway network according to the energy storage attenuation feature, and use the energy storage loss value as the loss compensation value.

[0126] Optionally, the power energy storage module 14 is specifically further used for:

[0127] The historical energy consumption data of the service area and the power consumption area of the expressway network in a preset time period is acquired;

[0128] The historical energy consumption data is divided into a training set and a verification set according to a preset ratio;

[0129] The energy consumption prediction model is trained based on the training set and the verification set to obtain the trained energy consumption prediction model.

[0130] Optionally, the energy storage determination module 13 is specifically further used for:

[0131] The photoelectric conversion efficiency and the wind power conversion efficiency of the service area and the power consumption area of the expressway network are acquired;

[0132] The solar energy conversion value is obtained by multiplying the solar energy resource evaluation result by the photoelectric conversion efficiency, and the wind energy conversion value is obtained by multiplying the wind energy resource evaluation result by the wind power conversion efficiency;

[0133] According to the size relationship between the solar energy conversion value and the wind energy conversion value, the energy storage form of the service area and the power consumption area of the expressway network is determined.

[0134] It should be noted that the above-mentioned embodiment provides a highway network service area and power consumption area energy storage device, which is only used as an example to divide the above-mentioned functional modules when the highway network service area and power consumption area energy storage method is executed. In actual application, the above-mentioned functions can be completed by different functional modules according to the needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the highway network service area and power consumption area energy storage device and the highway network service area and power consumption area energy storage method provided by the above-mentioned embodiment belong to the same concept, and the implementation process is embodied in the method embodiment. Here, it is not repeated.

[0135] The embodiment of the application also discloses a computer readable storage medium, and the computer readable storage medium stores a computer program, wherein the computer program is executed by a processor to adopt the highway network service area and power consumption area energy storage method of the above-mentioned embodiment.

[0136] The computer program can be stored in the computer readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or some middleware form, etc., the computer readable medium includes any entity or device, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. that can carry the computer program code. It should be noted that the computer readable medium includes but is not limited to the above-mentioned components.

[0137] The computer readable storage medium stores the highway network service area and power consumption area energy storage method of the above-mentioned embodiment in the computer readable storage medium, and is loaded and executed on the processor to facilitate the storage and application of the above-mentioned method.

[0138] The embodiment of the application also discloses an electronic device, and the computer readable storage medium stores a computer program, and the computer program is loaded and executed by the processor to adopt the above-mentioned highway network service area and power consumption area energy storage method.

[0139] The electronic device can adopt a desktop computer, a notebook computer or a cloud server, and the electronic device includes but is not limited to a processor and a memory, for example, the electronic device can also include an input / output device, a network access device and a bus, etc.

[0140] The processor can be a central processing unit (CPU), and can also be other general purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), programmable logic devices (PLD), field programmable gate arrays (FPGA), or other programmable logic devices, discrete gates or transistor logic components, discrete hardware components, etc. The general purpose processor can be a microprocessor or any conventional processor, etc. The present application is not limited in this regard.

[0141] The memory can be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device, or an external storage device of the electronic device, such as a plug-in hard disk, a smart media card (SMC), a secure digital card (SD), or a flash memory card (FC) equipped on the electronic device. The memory can also be a combination of the internal storage unit and the external storage device of the electronic device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or will be output. The present application is not limited in this regard.

[0142] The above-mentioned method for storing energy in a service area and a power consumption area of a highway network is stored in the memory of the electronic device and loaded and executed on the processor of the electronic device, which is convenient to use.

[0143] The above-mentioned embodiments are only exemplary embodiments of the present disclosure, and cannot limit the scope of the present disclosure. Any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the present disclosure. The present application is intended to cover any variations, uses, or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not described in the present disclosure. The specification and examples are only considered as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A highway network service area and power consumption area energy storage method, characterized in that, The method comprises the following steps: obtaining the average light intensity and the average wind speed of the service area and the power consumption area of the expressway network within a preset time; calculating a first ratio of the average light intensity to a standard light intensity, and calculating a second ratio of the average wind speed to a standard wind speed; determining the energy storage form of the service area and the power consumption area of the expressway network based on the first ratio and the second ratio, comprising: comparing the absolute value of the difference between the first ratio and the second ratio with a difference threshold value, if the absolute value is less than the difference threshold value, obtaining the solar energy resource evaluation result of the service area and the power consumption area of the expressway network by using the SMARTS model, and obtaining the wind energy resource evaluation result of the service area and the power consumption area of the expressway network by using the CFD model; determining the energy storage form of the service area and the power consumption area of the expressway network according to the solar energy resource evaluation result and the wind energy resource evaluation result, wherein the energy storage form comprises wind energy storage and / or solar energy storage; if the absolute value is not less than the difference threshold value, comparing the first ratio with the second ratio, if the first ratio is greater than the second ratio, taking solar energy as the energy storage form of the service area and the power consumption area of the expressway network; if the first ratio is less than the second ratio, taking wind energy as the energy storage form of the service area and the power consumption area of the expressway network; the energy storage form comprises wind energy storage and / or solar energy storage; using the energy storage form of the service area and the power consumption area of the expressway network for energy storage.

2. The highway network service area and power consumption area energy storage method according to claim 1, characterized in that, The energy storage using the energy storage form of the service area and the power consumption area of the expressway network comprises: using a trained energy consumption prediction model to predict the energy consumption peak value of the service area and the power consumption area of the expressway network within a preset period of time; determining the energy storage value of the service area and the power consumption area of the expressway network according to the energy consumption peak value, and using the energy storage form of the service area and the power consumption area of the expressway network to store energy according to the energy storage value.

3. The highway network service area and power consumption area energy storage method according to claim 2, characterized in that, The determination of the energy storage value of the service area and the power consumption area of the expressway network according to the energy consumption peak value, and the energy storage using the energy storage form of the service area and the power consumption area of the expressway network according to the energy storage value, comprises: comparing the energy consumption peak value with a preset energy consumption threshold value, if the energy consumption peak value is greater than the preset energy consumption threshold value, subtracting the preset energy consumption threshold value from the peak energy consumption value to obtain an energy storage supplement value; adding a loss compensation value to the energy storage supplement value to obtain an actual supplement value, and taking the actual supplement value as the energy storage value; using the energy storage form of the service area and the power consumption area of the expressway network to store energy according to the energy storage value.

4. The highway network service area and power consumption area energy storage method according to claim 3, characterized in that, Before the addition of the loss compensation value to the energy storage supplement value to obtain the actual supplement value, the method further comprises the following steps: obtaining the historical energy consumption data of the service area and the power consumption area of the expressway network within a preset period of time; ​ 5. The highway network service area and power consumption area energy storage method according to claim 2, characterized in that, ​ ​ The historical energy consumption data is divided into a training set and a verification set according to a preset ratio; An energy consumption prediction model is trained based on the training set and the verification set, and a trained energy consumption prediction model is obtained.

6. The highway network service area and power consumption area energy storage method of claim 1, wherein, The determination of the energy storage form of the service area and the power consumption area of the expressway network according to the solar resource evaluation result and the wind energy resource evaluation result comprises: Obtaining the photoelectric conversion efficiency and the wind power conversion efficiency of the service area and the power consumption area of the expressway network; Multiplying the solar resource evaluation result by the photoelectric conversion efficiency to obtain a solar conversion value, and multiplying the wind energy resource evaluation result by the wind power conversion efficiency to obtain a wind energy conversion value; According to the size relationship between the solar conversion value and the wind energy conversion value, the energy storage form of the service area and the power consumption area of the expressway network is determined.

7. A highway network service area and power consumption area energy storage device for implementing the highway network service area and power consumption area energy storage method of any one of claims 1 to 6, characterized in that, Comprise: An information acquisition module (11) is configured to acquire average light intensity and average wind speed of the service area and the power consumption area of the expressway network within a preset time; A ratio calculation module (12) is configured to calculate a first ratio of the average light intensity to a standard light intensity, and calculate a second ratio of the average wind speed to a standard wind speed; An energy storage determination module (13) is configured to determine the energy storage form of the service area and the power consumption area of the expressway network based on the first ratio and the second ratio, wherein the energy storage form comprises wind energy storage and / or solar energy storage; An electric power storage module (14) is configured to store energy in the energy storage form of the service area and the power consumption area of the expressway network.

8. A computer-readable storage medium having stored therein a computer program, characterized in that, The computer program is loaded and executed by the processor, and the method of any one of claims 1-6 is adopted.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, The processor loads and executes the computer program, and the method of any one of claims 1-6 is adopted.

Images