CN108614612A - Solar-energy photo-voltaic cell maximum power tracing method and system - Google Patents
Solar-energy photo-voltaic cell maximum power tracing method and system Download PDFInfo
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- G05F—SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- G05F1/00—Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
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Abstract
The invention discloses a kind of solar-energy photo-voltaic cell maximum power tracing method systems, including：Receive the measuring point data of acquisition；Radial base neural net is built, and is trained to obtain network model using the measuring point data；The Optimization goal function of output power is built based on the network model, and optimal output voltage is calculated based on genetic algorithm；Control solar-energy photo-voltaic cell is operated on the optimal output voltage, so that the solar-energy photo-voltaic cell is operated on maximum power point, you can ensures that the output power of solar-energy photo-voltaic cell is maximum；Constantly repeat the above process, it can be so that solar-energy photo-voltaic cell be all operated on maximum power point all the time, it solves existing solar-energy photo-voltaic cell maximum output power point and is difficult to determining technical problem, be conducive to the generating efficiency for improving solar-energy photo-voltaic cell, save cost of electricity-generating.
Description
Technical field
The invention belongs to solar photovoltaic technology fields, specifically, being to be related to a kind of solar-energy photo-voltaic cell most
High-power method for tracing and system.
Background technology
In the development and utilization of new energy, the sun is widely distributed, inexhaustible, is a kind of cleaning energy of sustainable use
Source.Photovoltaic power generation technology is a kind of technology that luminous energy is directly translated into electric energy using the photovoltaic effect of interface,
There is good development prospect in various Solar uses.
In China, photovoltaic generation installation in 2011 increased about 5 times than 2010；To the end of the year 2015, photovoltaic generation
Accumulative installed capacity reaches about 43,000,000 kilowatts；To the end of the year 2016, photovoltaic generation adds up installed capacity up to 77,420,000 kilowatts.
But there is photoelectric conversion efficiency in photovoltaic generation.When photovoltaic generating system works, solar cell is certain
Temperature and intensity of sunshine under have unique maximum power point can export Current Temperatures when solar cell is operated in this
With the maximum power under sunshine condition.But since the factors such as the output characteristics of solar cell is illuminated by day, environment temperature are influenced,
The voltage and current of solar cell changes a lot, and to keep output power unstable, i.e. maximum power point moment exists
Variation, this can cause photovoltaic generating system less efficient, therefore, to improve photovoltaic generating system efficiency, it is thus necessary to determine that maximum work
Rate point, but since the output characteristics of solar cell is complicated non-linear form, it is difficult to it determines its mathematical model, also just can not
Maximum power point is determined with analytic method.
Invention content
This application provides a kind of solar-energy photo-voltaic cell maximum power tracing method and systems, solve existing solar energy
Volt battery maximum output power point is difficult to determining technical problem.
In order to solve the above technical problems, the application is achieved using following technical scheme：
It is proposed a kind of solar-energy photo-voltaic cell maximum power tracing method, including：Receive the measuring point data of acquisition；The radial base of structure
Neural network, and be trained to obtain network model using the measuring point data；Output power is built based on the network model
Optimization goal function, and optimal output voltage is calculated based on genetic algorithm；Control solar-energy photo-voltaic cell be operated in it is described most
On excellent output voltage, so that the solar-energy photo-voltaic cell is operated on maximum power point.
Further, after the measuring point data for receiving acquisition, the method further includes：By the measuring point data according to setting
It is converted order position.
Further, the network model, specially：I=f(S,T,U1)；Wherein, I is current strength, and S is that illumination is strong
Degree, T is environment temperature, and U1 is voltage strength.
Further, the Optimization goal function of the output power is P=IU, wherein U is output voltage；It is described to be based on losing
The constraints that propagation algorithm calculates optimal output voltage is。
It is proposed a kind of solar-energy photo-voltaic cell maximum power tracing system, including measuring point data acquisition module, measuring point data
Receiving module, training module, optimizing module and control module；The measuring point data acquisition module, for acquiring measuring point data；Institute
Measuring point data receiving module is stated, the measuring point data for receiving acquisition from the measuring point data acquisition module；The training
Module is trained to obtain network model for building radial base neural net, and using the measuring point data；The optimizing mould
Block, the Optimization goal function for building output power based on the network model, and optimal output is calculated based on genetic algorithm
Voltage；The control module is operated in the optimal output voltage for controlling solar-energy photo-voltaic cell so that it is described too
Positive energy photovoltaic cell is operated on maximum power point.
Further, the system also includes Conversion of measurement unit modules, are used for after the measuring point data for receiving acquisition, by institute
Measuring point data is stated to be converted according to setting unit.
Further, the network model, specially：I=f(S,T,U1)；Wherein, I is current strength, and S is that illumination is strong
Degree, T is environment temperature, and U1 is voltage strength.
Further, the Optimization goal function of the output power is P=IU, wherein U is output voltage；It is described to be based on losing
The constraints that propagation algorithm calculates optimal output voltage is。
Compared with prior art, the advantages of the application and good effect is：The solar-energy photo-voltaic cell that the application proposes is most
In high-power method for tracing and system, measuring point data such as intensity of illumination, environment temperature, voltage strength, the current strength of acquisition
Deng building three layers of radial base neural net with these measuring point datas and be trained to obtain network mould using these measuring point datas
Type, the Optimization goal function of solar-energy photo-voltaic cell output power is built based on network model, and is calculated using genetic algorithm
The operating voltage of solar-energy photo-voltaic cell is adjusted to the optimal output voltage by optimal output voltage, you can ensures solar energy
The output power for lying prostrate battery is maximum, namely is operated on maximum power point, constantly repeats the above process, can be so that photovoltaic
Battery is all operated on maximum power point all the time, is solved existing solar-energy photo-voltaic cell maximum output power point and is difficult to really
Fixed technical problem is conducive to the generating efficiency for improving solar-energy photo-voltaic cell, saves cost of electricity-generating.
After the detailed description of the application embodiment is read in conjunction with the figure, other features and advantages of the application will become more
Add clear.
Description of the drawings
Fig. 1 is the method flow diagram for the solar-energy photo-voltaic cell maximum power tracing method that the application proposes；
Fig. 2 is the system block diagram for the solar-energy photo-voltaic cell maximum power tracing system that the application proposes.
Specific implementation mode
The specific implementation mode of the application is described in more detail below in conjunction with the accompanying drawings.
The solar-energy photo-voltaic cell maximum power tracing method that the application proposes, as shown in Figure 1, including the following steps：
Step S11：Receive the measuring point data of acquisition.
The measuring point data of solar-energy photo-voltaic cell is by DCS（Dcs）System acquisition, including intensity of illumination, ring
Border temperature, voltage strength, current strength etc..
After the measuring point data for receiving DCS system acquisition, measuring point data is converted according to setting unit, specifically,
Intensity of illumination sets unit as watt/square metre, environment temperature set unit as degree Celsius, voltage strength set unit as
Volt, current strength set unit as ampere.
Step S12：Radial base neural net is built, and is trained to obtain network model using measuring point data.
Using current strength I as dependent variable, using intensity of illumination S, environment temperature T and voltage strength U1 as independent variable, structure three
Layer radial base neural net, and data training is carried out using the measuring point data of acquisition, it is obtained by train RBF Neural Network
Network model I=f (S, T, U1), wherein f are a network structure, the functional relation between approximate expression I and S, T, U1, by three
Layer network is constituted, and first layer is input layer, including three neurons；The second layer is hidden layer, including 20 neurons；Third layer
For output layer, including a neuron.The neuron of first layer and the second layer passes through the input sample and second in training data
The distance connection of layer neuron, second layer neuron are handled by radial basis function, are connect with third layer neuron by weights.
Step S13：The Optimization goal function of output power is built based on network model, and optimal based on genetic algorithm calculating
Output voltage.
Using output power P as object function, the Optimization goal function for building output power is P=IU, wherein U is output electricity
Pressure；Optimizing is carried out to independent variable U, constraints is, optimal output work is calculated based on genetic algorithm
Rate and the corresponding output voltage U of optimal output power, also as optimal output voltage, optimal output power are maximum work
Rate point.
Step S14：Control solar-energy photo-voltaic cell is operated on optimal output voltage, so that solar-energy photo-voltaic cell work
Make on maximum power point.
According to optimal output voltage, control solar-energy photo-voltaic cell is operated on the optimal output voltage, can be so that the sun
Energy photovoltaic cell is operated on maximum power point.
According to step S11 to S13, the optimal value of the output voltage under varying environment can be obtained so that photovoltaic
The output power of battery reaches maximum, optimal output voltage is transferred to control module, output voltage is adjusted to by control module
Optimal value makes solar-energy photo-voltaic cell at every moment all be operated on maximum power point, solves existing solar-energy photo-voltaic cell
Maximum output power point is difficult to determining technical problem, is conducive to the generating efficiency for improving solar-energy photo-voltaic cell, saves power generation
Cost.
Traditional solar-energy photo-voltaic cell maximum power tracing method, such as CVT methods, disturbance observation method, conductance increment method
Deng, these methods all there is limitation in terms of control accuracy and to the adaptability of environment, and easy tos produce in best operating point
The phenomenon that attachment vibrates, compared to traditional solar-energy photo-voltaic cell maximum power tracing method, the method that the application proposes chases after
Track result of calculation has certainty, will not be oscillated about in best operating point so that control is more stable, can remain at most
It is high-power, it is quick on the draw to extraneous environmental change, external environment variation can be followed accurately to find best operating point rapidly,
It compared with the prior art can be closer to best operating point position so that computational accuracy higher improves the utilization rate of luminous energy.
Based on solar-energy photo-voltaic cell maximum power tracing method set forth above, the application also proposes a kind of solar energy
Battery maximum power tracing system is lied prostrate, as shown in Fig. 2, including measuring point data acquisition module 21, measuring point data receiving module 22, instruction
Practice module 23, optimizing module 24 and control module 25；Measuring point data acquisition module 21 is for acquiring measuring point data；Measuring point data connects
Receive the measuring point data that module 22 is used to receive acquisition from measuring point data acquisition module；Training mould 23 is for building radial base nerve net
Network, and be trained to obtain network model using measuring point data；Optimizing module 24 is used to build output power based on network model
Optimization goal function, and optimal output voltage is calculated based on genetic algorithm；Control module 25 is for controlling solar photovoltaic
Pond is operated on optimal output voltage, so that solar-energy photo-voltaic cell is operated on maximum power point.
The system further includes Conversion of measurement unit module 26, for after the measuring point data for receiving acquisition, measuring point data to be pressed
It is converted according to setting unit.
Wherein, network model, specially：I=f(S,T,U)；Wherein, I is current strength, and S is intensity of illumination, and T is environment
Temperature, U are voltage strength.
The Optimization goal function of output power is P=IU, wherein U is output voltage；It is calculated based on genetic algorithm optimal defeated
The constraints for going out voltage is。
The working method of specific solar-energy photo-voltaic cell maximum power tracing system is in above-mentioned solar photovoltaic
It is described in detail in the maximum power tracing method of pond, it will not go into details herein.
The solar-energy photo-voltaic cell maximum power tracing method and system that above-mentioned the application proposes, are based on neural network and something lost
Propagation algorithm calculates the maximum power point of solar-energy photo-voltaic cell, improves the adaptability and control accuracy to environment, solves existing
There is solar-energy photo-voltaic cell maximum output power point to be difficult to determining technical problem.It should be noted that in the application, to nerve
The structure of network and the application of genetic algorithm are not specifically limited, and are limited and are applied according to practical situations.
It should be noted that it is limitation of the present invention that above description, which is not, the present invention is also not limited to the example above,
The variations, modifications, additions or substitutions that those skilled in the art are made in the essential scope of the present invention, are also answered
It belongs to the scope of protection of the present invention.
Claims (8)
1. solar-energy photo-voltaic cell maximum power tracing method, which is characterized in that including：
Receive the measuring point data of acquisition；
Radial base neural net is built, and is trained to obtain network model using the measuring point data；
The Optimization goal function of output power is built based on the network model, and optimal output electricity is calculated based on genetic algorithm
Pressure；
Control solar-energy photo-voltaic cell is operated on the optimal output voltage, so that the solar-energy photo-voltaic cell is operated in
On maximum power point.
2. solar-energy photo-voltaic cell maximum power tracing method according to claim 1, which is characterized in that acquired receiving
Measuring point data after, the method further includes：
The measuring point data is converted according to setting unit.
3. solar-energy photo-voltaic cell maximum power tracing method according to claim 1, which is characterized in that the network mould
Type, specially：
I=f(S,T,U1)；Wherein, I is current strength, and S is intensity of illumination, and T is environment temperature, and U1 is voltage strength.
4. solar-energy photo-voltaic cell maximum power tracing method according to claim 3, which is characterized in that the output work
The Optimization goal function of rate is P=IU, wherein U is output voltage；
The constraints that optimal output voltage is calculated based on genetic algorithm is。
5. solar-energy photo-voltaic cell maximum power tracing system, which is characterized in that including measuring point data acquisition module, measuring point data
Receiving module, training module, optimizing module and control module；
The measuring point data acquisition module, for acquiring measuring point data；
The measuring point data receiving module, the measuring point data for receiving acquisition from the measuring point data acquisition module；
The training module is trained to obtain network mould for building radial base neural net, and using the measuring point data
Type；
The optimizing module, the Optimization goal function for building output power based on the network model, and calculated based on heredity
Method calculates optimal output voltage；
The control module is operated in the optimal output voltage for controlling solar-energy photo-voltaic cell so that it is described too
Positive energy photovoltaic cell is operated on maximum power point.
6. solar-energy photo-voltaic cell maximum power tracing system according to claim 5, which is characterized in that the system is also
Including Conversion of measurement unit module, for after the measuring point data for receiving acquisition, the measuring point data to be carried out according to setting unit
Conversion.
7. solar-energy photo-voltaic cell maximum power tracing system according to claim 5, which is characterized in that the network mould
Type, specially：
I=f(S,T,U1)；Wherein, I is current strength, and S is intensity of illumination, and T is environment temperature, and U1 is voltage strength.
8. solar-energy photo-voltaic cell maximum power tracing system according to claim 7, which is characterized in that the output work
The Optimization goal function of rate is P=IU, wherein U is output voltage；
The constraints that optimal output voltage is calculated based on genetic algorithm is。
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| CN113526413A (en) * | 2021-07-20 | 2021-10-22 | 宁波如意股份有限公司 | Forklift lifting device and power generation efficiency control method thereof |
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| CN114995580A (en) * | 2022-06-27 | 2022-09-02 | 长江师范学院 | Maximum power point tracking method and system for photovoltaic system |
| CN117155279A (en) * | 2023-09-12 | 2023-12-01 | 西南石油大学 | Performance test system of solar cell |
| CN117155279B (en) * | 2023-09-12 | 2024-03-08 | 西南石油大学 | A performance testing system for solar cells |
| CN119071978A (en) * | 2024-09-30 | 2024-12-03 | 江苏欧亚照明股份有限公司 | A solar street light control system based on maximum power point |
| CN118963420A (en) * | 2024-10-15 | 2024-11-15 | 国网安徽省电力有限公司怀宁县供电公司 | Photovoltaic module control method based on solar energy tracking analysis |
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