Multi-clean-energy hybrid power supply method and system

Abstract

The invention provides a hybrid power supply method and system for multiple clean energy sources, and the method comprises the steps: configuring an environment sensor corresponding to the type of the clean energy sources for monitoring the environment state data of the corresponding type of clean energy sources, and predicting the power supply capability of the corresponding clean energy sources according to the environment state data; generating a corresponding clean energy environment state index according to the environment state data of the corresponding type of clean energy; a lithium battery used for electric energy storage is configured, the lithium battery is respectively communicated with a power grid and a corresponding clean energy power supply output end, and the lithium battery is also connected with a power supply output end of a chemical fuel cell and is used for receiving hybrid power supply from the clean energy and the chemical fuel cell and outputting power supply to the power grid; and obtaining the lithium battery characteristic data, and generating a hybrid power supply strategy comprising the clean energy and the chemical fuel cell according to the lithium battery characteristic data and the corresponding clean energy power supply capability index.

Description

Technical Field

[0001] The present invention relates to the technical field of clean energy power supply, and in particular to a hybrid power supply method and system of multiple clean energy sources. Background Art

[0002] At present, clean energy includes photovoltaic energy, wind energy, nuclear energy, water potential energy, etc. Although the above clean energy can provide continuous and stable power supply in most cases, it may not be able to provide stable power supply in certain circumstances. For example, the power generation of wind energy, photovoltaic energy and water potential energy will be limited by the wind force, light intensity and water storage capacity in the current environment. In order to solve the stable power supply of clean energy such as photovoltaic energy, wind energy, nuclear energy, water potential energy, etc. in the prior art, it is necessary to add energy storage devices such as lithium batteries. When the power demand is small but the power generation is large, the lithium batteries and other energy storage devices are powered to store clean energy. When the power demand is large, the lithium batteries and other energy storage devices are used to supply power to the outside to stabilize the power supply capacity of the power grid. It should be noted that in the prior art, the power supply of energy storage devices such as lithium batteries to the outside has the obvious advantage of stable output. However, in certain circumstances, lithium batteries will be affected by harsh environments such as low temperature, resulting in a decrease in capacity and inability to fully release electricity. At the same time, clean energy such as photovoltaic energy, wind energy, water potential energy, etc. will also be affected by harsh environments such as weather and natural disasters, resulting in unstable clean energy supply for the target as a whole. Summary of the invention

[0003] One of the inventive purposes of the present invention is to provide a hybrid power supply method and system for multiple clean energy sources. The method and system are equipped with multiple types of environmental sensors to monitor the environmental status of different clean energy sources, and perform hybrid power supply of different modes on the power grid according to the environmental status of the unclean energy sources. Therefore, the problem of poor power grid stability caused by the single clean energy power supply method can be effectively avoided.

[0004] Another inventive object of the present invention is to provide a hybrid power supply method and system of multiple clean energy sources. The method and system use photovoltaic power generation and lithium battery storage as the main clean energy sources, and combine chemical fuel cells as auxiliary power supply energy sources. Power supply management is performed according to the effect of the photovoltaic power generation and the characteristics of the lithium battery under different environments. Since the chemical fuel cell generates electricity through the chemical energy of chemical reactions, and the power generation process of chemical fuels only produces water and a small amount of carbon dioxide, the auxiliary power supply requirements of clean energy can be met to a certain extent by chemical fuel cells, and the stability of the chemical reaction can also enable the power grid powered by the chemical fuel cell to maintain good stability.

[0005] Another object of the present invention is to provide a hybrid power supply method and system for multiple clean energy sources. The method and system monitor the power supply characteristics of lithium batteries to the power grid in real time, and combine with the environmental sensor to predict possible future clean energy changes in lithium battery energy storage, and convert the energy storage mode when the lithium battery meets certain conditions, thereby maintaining the stability of the lithium battery's power supply to the power grid.

[0006] In order to achieve at least one of the above-mentioned invention objects, the present invention further provides a hybrid power supply method of multiple clean energy sources, the method comprising: An environmental sensor corresponding to the clean energy type is configured to monitor the environmental status data of the corresponding type of clean energy, and predict the power supply capacity of the corresponding clean energy according to the environmental status data; Generate a corresponding clean energy environmental status index according to the environmental status data of the corresponding type of clean energy; A lithium battery configured for electric energy storage, wherein the lithium battery is connected to the power grid and the corresponding clean energy power supply output terminal, respectively, and the lithium battery is also connected to the power supply output terminal of the chemical fuel cell, for receiving a mixed power supply from the clean energy and the chemical fuel cell, and outputting power to the power grid; The lithium battery characteristic data is obtained, and a hybrid power supply strategy including the clean energy and chemical fuel cells is generated according to the lithium battery characteristic data and a corresponding clean energy power supply capability index.

[0007] According to one of the preferred embodiments of the present invention, the environmental sensor includes a light intensity sensor, a water level sensor and a wind sensor, which are respectively used to detect the ambient light intensity including solar energy, the height of hydraulic potential energy and the wind speed of wind energy; and the historical data of the ambient light intensity of solar energy, the height of hydraulic potential energy and the wind speed of wind energy are input into the neural network model for training, so as to predict the data of the ambient light intensity, the height of hydraulic potential energy and the wind speed of wind energy at different times.

[0008] According to another preferred embodiment of the present invention, after the environmental status data including the ambient light intensity of solar energy, the height of hydraulic potential energy and the wind speed of wind energy at the corresponding time are predicted according to the trained deep model, the environmental status data is further processed and converted into a clean energy environmental status index of the corresponding type with a unified standard, and a hybrid power supply strategy is generated based on the clean energy environmental status index of the corresponding type.

[0009] According to another preferred embodiment of the present invention, the calculation method of the clean energy environment status index includes: defining k as the corresponding clean energy type, f kis the environmental status data of the corresponding type of clean energy; obtain the predicted environmental status data of the corresponding type of clean energy, and obtain the predicted timestamp t of the environmental status data of the corresponding type of clean energy, and extract the environmental status data f of the corresponding type of clean energy at the predicted timestamp t k,t The maximum and minimum values ​​of [max(f k,t ), min(f k,t )], and normalize each clean energy type according to the following formula: F(k,t)= , wherein F(k, t) is the standard environmental status data of the corresponding type of data after normalization, and the clean energy environmental status index P is further calculated according to the standard environmental status data F(k, t) according to the following formula: k，t = , where λ and β are different adjustment coefficients, and both λ and β are greater than 1. It is the average value of standard environmental status data.

[0010] According to another preferred embodiment of the present invention, the hybrid power supply strategy generation method further includes: obtaining the SOC data and SOH data of the lithium battery at the corresponding timestamp t according to the lithium battery control module, wherein the state of charge w of the lithium battery at the current timestamp t is obtained according to the SOC data of the lithium battery, wherein the remaining power of the current lithium battery is judged according to the lithium battery state of charge w, and combined with the clean energy environment status index P k，t The generation includes fuel cell hybrid power supply strategies.

[0011] According to another preferred embodiment of the present invention, the fuel cell hybrid power supply strategy generation method includes: setting an upper threshold w1 and a lower threshold w2 of the lithium battery charge state w, when the lithium battery charge state w is less than the lower threshold w2, starting the hybrid power supply strategy, according to the corresponding clean energy environment state index P k，t The size determines whether the corresponding type of clean energy meets the power supply demand. If so, the corresponding type of clean energy is started to power the lithium battery until the charge state of the lithium battery reaches the upper limit threshold w1.

[0012] According to another preferred embodiment of the present invention, the fuel cell hybrid power supply strategy generation method comprises: when the charge state w of the lithium battery is less than the lower limit threshold w2, and according to the corresponding clean energy environment state index P k，t If it is determined that the corresponding type of clean energy does not meet the power supply demand of the lithium battery, a hybrid power supply including a fuel cell to the lithium battery is started until the charge state w of the lithium battery is greater than the lower limit threshold w2.

[0013] According to another preferred embodiment of the present invention, the output power Q of the lithium battery to the grid per unit time is obtained. out and the full load input power Q of the lithium battery by the corresponding type of clean energy in the same unit time in , calculate the power Q output per unit time of the lithium battery to the grid out and the full load input power Q of the lithium battery by the corresponding type of clean energy in the same unit time in The difference Q c =Q out -Q in and determine the difference Q c Is it greater than 0? If the difference Q c is greater than 0, then when the state of charge w of the lithium battery is less than the lower limit threshold w2, the hybrid power supply including the fuel cell to the lithium battery is started.

[0014] In order to achieve at least one of the above-mentioned invention purposes, the present invention further provides a hybrid power supply system of multiple clean energy sources, wherein the system executes the above-mentioned hybrid power supply method of multiple clean energy sources.

[0015] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the above-mentioned hybrid power supply method of multiple clean energy sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Shown is a schematic flow chart of a hybrid power supply method of multiple clean energy sources according to the present invention. DETAILED DESCRIPTION

[0017] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0018] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0019] Please combine Figure 1The present invention discloses a hybrid power supply method and system of multiple clean energy sources, the method comprising: firstly, it is necessary to configure an environmental sensor, wherein the environmental sensor will be configured according to different clean energy types, and the clean energy in the present invention is preferably photovoltaic energy, water potential energy and wind energy; the above three types of clean energy will produce different power generation effects under different environmental conditions. Therefore, it is necessary to use an environmental sensor of the corresponding clean energy type for monitoring, and the environmental sensor is used to monitor the power generation environment state of the corresponding clean energy to obtain the environmental state data of the corresponding clean energy type. Further, the present invention uses a neural network model to train the environmental state data and the sample set of the corresponding time to obtain the environmental state data for predicting the corresponding clean energy type. And the present invention calculates the environmental state index of each type of clean energy based on the predicted environmental state data, wherein the clean energy environmental state index is a standard index, which is obtained by preprocessing the environmental state data of different types of clean energy. The present invention preferably configures a fuel cell as a preferred auxiliary power supply device for hybrid power supply, and executes a preset hybrid power supply strategy based on the clean energy environmental state index and the characteristics of the power supply output device itself.

[0020] Specifically, the types of sensors for clean energy described in the present invention include: a light intensity sensor for detecting light intensity, a water depth sensor for detecting hydraulic potential energy, and a wind speed sensor for detecting wind energy. The above sensors are all configured based on the corresponding type of clean energy power generation equipment, for example, they can be configured near the location of photovoltaic panels, the location of the high-altitude wind wheel support rod of the wind turbine generator, etc. It is used to obtain environmental status data of the corresponding type of clean energy in real time. It should be noted that since the existing traditional clean energy power generation is subject to the influence of natural environmental conditions and is not continuous and stable, traditional clean energy power generation equipment cannot be directly connected to the power grid for power supply, and often requires a relatively stable intermediate energy storage device for energy storage and stable output. In the present invention, lithium batteries are preferably used as the intermediate energy storage device for intermediate electrical energy storage.

[0021] Furthermore, the core technical solution of the present invention is to provide a hybrid power supply method of multiple clean energy sources, which is used to reduce or avoid the unstable power generation of the corresponding clean energy power generation equipment in a harsh environment, and the unstable power supply to the power grid. Therefore, the present invention adds a fuel cell as an auxiliary power supply based on the above-mentioned photovoltaic energy, water potential energy and wind energy; it should be noted that the technical principle of the fuel cell is to use chemical reactions to generate corresponding electrical energy for external power supply. Since the energy density of chemical fuel cells is high, and the chemical reaction of chemical fuel cells is stable as long as the amount of reactants and reaction conditions are stable, its reaction rate and the final external output of electrical energy are stable, and the fuel cell generally only generates water and a small amount of carbon dioxide in the chemical reaction (depending on the type of fuel cell used). Therefore, the present invention is based on the fuel cell as an auxiliary power supply for hybrid power supply to meet the environmental protection requirements of clean energy. Therefore, the present invention predicts possible power supply instability based on the environmental status data of the clean energy in different environments, and then generates a corresponding hybrid power supply strategy including the fuel cell.

[0022] It should be noted that the present invention obtains the environmental status data of clean energy at different timestamps based on historical data, and constructs a prediction sample set of environmental status data according to the environmental status data and timestamp of the corresponding clean energy type, and inputs the sample set into a neural network model including but not limited to CNN and DNN or BP neural network for training to obtain environmental status data for predicting the corresponding clean energy type that may appear at future timestamp t. The environmental status data based on the prediction results of the neural network model can be used to perform pre-preparation operations for the hybrid power supply strategy of the corresponding fuel cell. The training method of the above-mentioned neural network model is a prior art, and the present invention does not improve the model itself, so how the present invention trains the neural network model will not be described in detail.

[0023] In another preferred embodiment of the present invention, the corresponding environmental status data may not be generated by the prediction method of the neural network model, and relatively real-time environmental status data may be directly obtained through the environmental sensor of the corresponding clean energy type, and the fuel of the corresponding fuel cell is added and the corresponding output power is controlled according to the real-time environmental status data and the relevant characteristic data of the lithium battery. In this embodiment, the step of temporary processing of the fuel cell is added compared to the predicted environmental status data, but it does not affect the actual auxiliary power supply effect.

[0024] It is worth mentioning that the present invention is based on the environmental status index corresponding to the clean energy type, wherein the calculation method of the clean energy environmental status index includes: defining k as the corresponding clean energy type, f kis the environmental status data of the corresponding type of clean energy; obtain the predicted environmental status data of the corresponding type of clean energy, and obtain the predicted timestamp t of the environmental status data of the corresponding type of clean energy, and extract the environmental status data f of the corresponding type of clean energy at the predicted timestamp t k,t The maximum and minimum values ​​of [max(f k,t ), min(f k,t )], and normalize each clean energy type according to the following formula: F(k,t)= , wherein F(k, t) is the standard environmental status data of the corresponding type of data after normalization, and the clean energy environmental status index P is further calculated according to the standard environmental status data F(k, t) according to the following formula: k，t = , where λ and β are different adjustment coefficients, and both λ and β are greater than 1. is the average value of the standard environmental status data. In this embodiment, the normalization process can effectively maintain the uniformity of different types of clean energy environmental status data, and also unify the different types of clean energy environmental status index P k，t , where the clean energy environment status index P k，t In the calculation formula, λ and β are obtained based on the correlation experiment between clean energy environmental status data and actual power generation data, such as light intensity and actual photovoltaic power conversion data per unit time and unit area.

[0025] The hybrid power supply strategy generation method also includes: obtaining the SOC data and SOH data of the lithium battery at the corresponding timestamp t according to the lithium battery control module, wherein the state of charge w of the lithium battery at the current timestamp t is obtained according to the SOC data of the lithium battery, wherein the remaining power of the current lithium battery is judged according to the state of charge w of the lithium battery, and combined with the clean energy environment status index P k，t The generation includes fuel cell hybrid power supply strategies.

[0026] The fuel cell hybrid power supply strategy generation method comprises: setting an upper threshold w1 and a lower threshold w2 of the lithium battery charge state w, and when the charge state w of the lithium battery is less than the lower threshold w2, starting the hybrid power supply strategy, and k，t The size determines whether the corresponding type of clean energy meets the power supply demand, and if so, starts the corresponding type of clean energy to power the lithium battery until the state of charge of the lithium battery reaches the upper limit threshold w1. The fuel cell hybrid power supply strategy generation method also includes: when the state of charge w of the lithium battery is less than the lower limit threshold w2, and according to the corresponding clean energy environment state index P k，tIf it is determined that the corresponding type of clean energy does not meet the power supply demand of the lithium battery, a hybrid power supply including a fuel cell to the lithium battery is started until the charge state w of the lithium battery is greater than the lower limit threshold w2.

[0027] In one of the preferred embodiments of the present invention, it is necessary to obtain the power Q output per unit time of the lithium battery to the grid. out and the full load input power Q of the lithium battery by the corresponding type of clean energy in the same unit time in , calculate the power Q output per unit time of the lithium battery to the grid out and the full load input power Q of the lithium battery by the corresponding type of clean energy in the same unit time in The difference Q c =Q out -Q in and determine the difference Q c Is it greater than 0? If the difference Q c is greater than 0, then when the state of charge w of the lithium battery is less than the lower limit threshold w2, the hybrid power supply including the fuel cell to the lithium battery is started.

[0028] The embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above-mentioned functions defined in the method of the present application are executed. It should be noted that the above-mentioned computer-readable medium of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, electrical wire, optical cable, RF, etc., or any suitable combination of the foregoing.

[0029] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0030] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments. Without departing from the principles, the implementation methods of the present invention may be deformed or modified in any way.

Claims

1. A hybrid power supply method using multiple clean energy sources, characterized in that: The method comprises: Configure an environmental sensor corresponding to the clean energy type to monitor the environmental status data of the corresponding type of clean energy, and predict the power supply capacity of the corresponding clean energy based on the environmental status data; Generate a corresponding clean energy environmental status index according to the environmental status data of the corresponding type of clean energy; A lithium battery configured for electric energy storage, wherein the lithium battery is connected to the power grid and the corresponding clean energy power supply output terminal, and the lithium battery is also connected to the power supply output terminal of the chemical fuel cell, for receiving a mixed power supply from the clean energy and the chemical fuel cell, and outputting power to the power grid; The lithium battery characteristic data is obtained, and a hybrid power supply strategy including the clean energy and chemical fuel cells is generated according to the lithium battery characteristic data and a corresponding clean energy power supply capability index.

2. A hybrid power supply method of multiple clean energy sources according to claim 1, characterized in that: The environmental sensors include a light intensity sensor, a water level sensor and a wind sensor, which are respectively used to detect the ambient light intensity including solar energy, the height of hydraulic potential energy and the wind speed of wind energy; and based on the historical data of the ambient light intensity of solar energy, the height of hydraulic potential energy and the wind speed of wind energy, they are input into a neural network model for training to predict the data of the ambient light intensity, the height of hydraulic potential energy and the wind speed of wind energy at different times.

3. A hybrid power supply method of multiple clean energy sources according to claim 1, characterized in that: After predicting the environmental status data including the ambient light intensity of solar energy, the height of hydraulic potential energy and the wind speed of wind energy at the corresponding time according to the trained deep model, the environmental status data is further processed and converted into a clean energy environmental status index of the corresponding type with a unified standard, and a hybrid power supply strategy is generated based on the clean energy environmental status index of the corresponding type.

4. The hybrid power supply method of multiple clean energy sources according to claim 1, characterized in that: The calculation method of the clean energy environment status index includes: defining k as the corresponding clean energy type, f k is the environmental status data of the corresponding type of clean energy; obtain the predicted environmental status data of the corresponding type of clean energy, and obtain the predicted timestamp t of the environmental status data of the corresponding type of clean energy, and extract the environmental status data f of the corresponding type of clean energy at the predicted timestamp t k,t The maximum and minimum values ​​of [max(f k,t ), min(f k,t )], and normalize each clean energy type according to the following formula: F(k,t)= , wherein F(k, t) is the standard environmental status data of the corresponding type of data after normalization, and the clean energy environmental status index P is further calculated according to the standard environmental status data F(k, t) according to the following formula: k，t = , where λ and β are different adjustment coefficients, and both λ and β are greater than 1. It is the average value of standard environmental status data.

5. A hybrid power supply method of multiple clean energy sources according to claim 4, characterized in that: The hybrid power supply strategy generation method also includes: obtaining the SOC data and SOH data of the lithium battery at the corresponding timestamp t according to the lithium battery control module, wherein the state of charge w of the lithium battery at the current timestamp t is obtained according to the SOC data of the lithium battery, wherein the remaining power of the current lithium battery is judged according to the state of charge w of the lithium battery, and combined with the clean energy environment status index P k，t The generation includes fuel cell hybrid power supply strategies.

6. A hybrid power supply method of multiple clean energy sources according to claim 5, characterized in that: The fuel cell hybrid power supply strategy generation method comprises: setting an upper threshold w1 and a lower threshold w2 of the lithium battery charge state w, and when the charge state w of the lithium battery is less than the lower threshold w2, starting the hybrid power supply strategy, and k，t The size determines whether the corresponding type of clean energy meets the power supply demand. If so, the corresponding type of clean energy is started to power the lithium battery until the charge state of the lithium battery reaches the upper limit threshold w1.

7. A hybrid power supply method of multiple clean energy sources according to claim 6, characterized in that: The fuel cell hybrid power supply strategy generation method comprises: when the charge state w of the lithium battery is less than the lower limit threshold w2, and according to the corresponding clean energy environment state index P k，t If it is determined that the corresponding type of clean energy does not meet the power supply demand of the lithium battery, a hybrid power supply including a fuel cell to the lithium battery is started until the charge state w of the lithium battery is greater than the lower limit threshold w2.

8. The hybrid power supply method of multiple clean energy sources according to claim 1, characterized in that: Obtain the power output Q of the lithium battery to the grid per unit time out and the full load input power Q of the lithium battery by the corresponding type of clean energy in the same unit time in , calculate the power Q output per unit time of the lithium battery to the grid out and the full load input power Q of the lithium battery by the corresponding type of clean energy in the same unit time in The difference Q c =Q out -Q in and determine the difference Q c Is it greater than 0? If the difference Q c is greater than 0, then when the state of charge w of the lithium battery is less than the lower limit threshold w2, the hybrid power supply including the fuel cell to the lithium battery is started.

9. A hybrid power supply system of multiple clean energy sources, characterized in that: The system implements a hybrid power supply method of multiple clean energy sources as described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement a hybrid power supply method of multiple clean energy sources as described in any one of claims 1-8.

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