CN208738854U - The solar panel MPPT control system of Adaptive Genetic optimization - Google Patents
The solar panel MPPT control system of Adaptive Genetic optimization Download PDFInfo
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- CN208738854U CN208738854U CN201721911432.3U CN201721911432U CN208738854U CN 208738854 U CN208738854 U CN 208738854U CN 201721911432 U CN201721911432 U CN 201721911432U CN 208738854 U CN208738854 U CN 208738854U
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- solar panel
- solar
- photovoltaic assembly
- power supply
- control system
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
A kind of solar panel MPPT control system of Adaptive Genetic optimization, comprising: sampling module, for acquiring voltage data, the current data of solar photovoltaic assembly；MCU control module generates multi-channel PWM signal according to the data acquired by sampling module using dsPIC33FJ16GS504 chip, to control turning on and off for inverter in solar photovoltaic assembly；Relay control module, according to the pwm signal that the MCU control module generates, inverter is turned on and off in control solar photovoltaic assembly；Accessory power supply is powered by the solar panel in solar photovoltaic assembly, and converts voltages into the sampling module, MCU control module power supply.The utility model can realize optimal switch combination to photovoltaic array group based on adaptive genetic Optimization Algorithm, to greatly improve the transfer efficiency of solar energy, reduce training on operation and maintenance cost, improve adaptability.
Description
Technical field
The utility model relates to a kind of solar panel MPPT control systems of Adaptive Genetic optimization.
Background technique
During actual photovoltaic power generation, due to being influenced by the continually changing of weather, especially cloud cluster is sailed to ground
Face photovoltaic array bring shadow occlusion, causes photovoltaic power generation system output power to substantially reduce.Photovoltaic is improved currently on the market
A kind of major way of array output power is: optimizing the connection relationship of photovoltaic array.
Which is the local optimum scheme based on the compensation of battery member, and this kind of control algolithm and circuit realization are easier,
However, the battery member quantity of compensation may not enough, so that providing the activity of compensation if photovoltaic array large area is covered by shade
How quantitative proportion between battery member and fixed battery member, which carries out best configuration, is difficult to determine.
Utility model content
In view of the above-mentioned problems, the primary and foremost purpose of the utility model is to provide a kind of solar battery of Adaptive Genetic optimization
Plate MPPT control system.
In order to solve the above technical problems, the technical scheme adopted by the utility model is:
A kind of solar panel MPPT control system of Adaptive Genetic optimization, comprising:
Sampling module, for acquiring voltage data, the current data of solar photovoltaic assembly；
MCU control module is generated more using dsPIC33FJ16GS504 chip according to the data acquired by sampling module
Road pwm signal, to control turning on and off for inverter in solar photovoltaic assembly；
Relay control module controls in solar photovoltaic assembly according to the pwm signal that the MCU control module generates
Inverter turns on and off；
Accessory power supply is powered by the solar panel in solar photovoltaic assembly, and converts voltages into the sampling
Module, MCU control module power supply.
Preferably, the sampling module includes solar panel acquisition module, acquires solar energy by filter unit
Lie prostrate the voltage data of solar panel, current data in component.
Preferably, the sampling module includes inverter acquisition module, is acquired by MCP6022-I/SN high-operational amplifier
The voltage data of inverter, current data in solar photovoltaic assembly.
Preferably, accessory power supply includes DC/DC conversion chip LM5008AMM/NOPB, and solar panel power supply is turned
For 12V voltage output.
Preferably, accessory power supply further includes MCP16301T-I/CHY chip, to obtain 5V voltage output.
Preferably, accessory power supply further includes MCP1700T-3302E/MB chip, to obtain 3.3V voltage output.
Provided by the utility model has the beneficial effect that:
(1) transfer efficiency is improved.Photovoltaic array group can be realized most based on adaptive genetic Optimization Algorithm
Excellent switch combination, to greatly improve the transfer efficiency of solar energy.
(2) training on operation and maintenance cost are reduced.Adaptive Genetic optimization algorithm enables whole system for each
The different weather condition of kind, makes optimal control strategy, intervene without artificial, thus greatly reduces operation training
Instruction, while also reducing the cost of maintenance.
(3) adaptability is improved.The solar energy photovoltaic system of former scheme looks after insufficient weather feelings at cloudy day and rainy day etc.
Under condition, transfer efficiency is relatively low.And use the photovoltaic array of Adaptive Genetic optimization algorithm then can be in different days
Under the conditions of gas, high efficiency conversion is realized.
(4) complicated multi-peak MPPT control method is avoided.By self-adapted genetic algorithm, photovoltaic array into
It has gone and has reconfigured, greatly reduced the photovoltaic module to be shaded with other not by the combination of shade component, so its output is special
Property reduces the quantity of multimodal, this allows photovoltaic system to be easier to track maximum power point, reduces closer to perfect condition
Maximal power tracing easily falls into a possibility that local peaking, so as to avoid complicated multi-peak MPPT control method.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide a further understanding of the present invention, the utility model
Illustrative embodiments and their description are not constituteed improper limits to the present invention for explaining the utility model.In attached drawing
In:
Fig. 1 is the utility model embodiment module diagram；
Fig. 2 is the utility model embodiment MCU control module schematic diagram；
Fig. 3 is the utility model embodiment solar panel acquisition module schematic diagram；
Fig. 4 is the utility model embodiment inverter acquisition module schematic diagram；
Fig. 5,6,7 are the utility model embodiment accessory power supply schematic diagram；
Fig. 8 is solar photovoltaic assembly topological diagram.
Specific embodiment
In order to make the purpose of the utility model, technical solutions and advantages more clearly understood, below in conjunction with attached drawing and implementation
Example, the present invention will be further described in detail.It should be appreciated that specific embodiment described herein is only used to explain
The utility model is not used to limit the utility model.
Embodiment
In conjunction with shown in Fig. 1,2, a kind of solar panel MPPT control system of Adaptive Genetic optimization, comprising:
Sampling module, for acquiring voltage data, the current data of solar photovoltaic assembly；
MCU control module generates multi-channel PWM signal according to the data acquired by sampling module, to control solar energy
Inverter turns on and off in photovoltaic module, and MCU control module uses dsPIC33FJ16GS504 chip in the present embodiment, can
The data acquired by sampling module are stored in EEPROM, data therein can pass through the modes such as RS232, RS485, BLE
It is communicated, while can be shown in an lcd with external equipment；
Relay control module, according to the pwm signal that the MCU control module ACC-S foot, ACC-ON foot generate, control
Inverter turns on and off in solar photovoltaic assembly；
Accessory power supply is powered by the solar panel in solar photovoltaic assembly, and converts voltages into the sampling
Module, MCU control module power supply.
As shown in figure 3, the sampling module includes solar panel acquisition module, by by the 4th in the present embodiment
The filter unit that 13 capacitor C43, the 44th capacitor C44 and the 73rd resistance R73 are constituted acquires solar photovoltaic assembly
The voltage data of middle solar panel, current data are simultaneously connect by the CMP1A foot (21 foot) of dsPIC33FJ16GS504 chip
It receives.
As shown in figure 4, the sampling module includes inverter acquisition module in the present embodiment, pass through MCP6022-I/SN
High-operational amplifier acquires the voltage data of inverter, current data in solar photovoltaic assembly and passes through dsPIC33FJ16GS504
The CMP1D foot (24 foot) of chip receives.
As shown in figure 5, accessory power supply includes DC/DC conversion chip LM5008AMM/NOPB, by the sun in the present embodiment
Energy solar panel power supply switchs to 12V voltage output.
As shown in fig. 6, accessory power supply further includes MCP16301T-I/CHY chip in the present embodiment, it is defeated to obtain 5V voltage
Out.
As shown in fig. 7, accessory power supply further includes MCP1700T-3302E/MB chip in the present embodiment, to obtain 3.3V electricity
Pressure output.
The solar panel MPPT control system for the Adaptive Genetic optimization that this embodiment scheme provides, passes through such as Fig. 8
Shown in distributed photovoltaic array (PV) and inverter (INV) network topology structure it is inverse with photovoltaic photovoltaic array is adjusted flexibly
Become the syntagmatic between device, the output power of photovoltaic array is made to be as closely as possible to the rated power of photovoltaic DC-to-AC converter；Meanwhile
The team control between multiple groups photovoltaic array and more photovoltaic DC-to-AC converters is being realized in control process using adaptive genetic algorithm
Management.
The above is only the preferred embodiment of the utility model only, is not intended to limit the utility model, all at this
Made any modifications, equivalent replacements, and improvements etc., should be included in the utility model within the spirit and principle of utility model
Protection scope within.
Claims (6)
1. a kind of solar panel MPPT control system of Adaptive Genetic optimization, characterized by comprising:
Sampling module, for acquiring voltage data, the current data of solar photovoltaic assembly；
MCU control module generates multichannel according to the data acquired by sampling module using dsPIC33FJ16GS504 chip
Pwm signal, to control turning on and off for inverter in solar photovoltaic assembly；
Relay control module controls inversion in solar photovoltaic assembly according to the pwm signal that the MCU control module generates
Device turns on and off；
Accessory power supply, by solar photovoltaic assembly solar panel power, and convert voltages into the sampling module,
MCU control module power supply.
2. the solar panel MPPT control system of Adaptive Genetic optimization according to claim 1, it is characterised in that:
The sampling module includes solar panel acquisition module, acquires solar-electricity in solar photovoltaic assembly by filter unit
The voltage data of pond plate, current data.
3. the solar panel MPPT control system of Adaptive Genetic optimization according to claim 1, it is characterised in that:
The sampling module includes inverter acquisition module, is acquired in solar photovoltaic assembly by MCP6022-I/SN high-operational amplifier
The voltage data of inverter, current data.
4. the solar panel MPPT control system of Adaptive Genetic optimization according to claim 1, it is characterised in that:
Accessory power supply includes DC/DC conversion chip LM5008AMM/NOPB, and solar panel power supply is switched to 12V voltage output.
5. the solar panel MPPT control system of Adaptive Genetic optimization according to claim 4, it is characterised in that:
Accessory power supply further includes MCP16301T-I/CHY chip, to obtain 5V voltage output.
6. the solar panel MPPT control system of Adaptive Genetic optimization according to claim 5, it is characterised in that:
Accessory power supply further includes MCP1700T-3302E/MB chip, to obtain 3.3V voltage output.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721911432.3U CN208738854U (en) | 2017-12-30 | 2017-12-30 | The solar panel MPPT control system of Adaptive Genetic optimization |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201721911432.3U CN208738854U (en) | 2017-12-30 | 2017-12-30 | The solar panel MPPT control system of Adaptive Genetic optimization |
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| CN208738854U true CN208738854U (en) | 2019-04-12 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112510998A (en) * | 2020-11-26 | 2021-03-16 | 武汉美格科技股份有限公司 | Solar MPPT booster unit |
-
2017
- 2017-12-30 CN CN201721911432.3U patent/CN208738854U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112510998A (en) * | 2020-11-26 | 2021-03-16 | 武汉美格科技股份有限公司 | Solar MPPT booster unit |
| CN112510998B (en) * | 2020-11-26 | 2022-03-11 | 武汉美格科技股份有限公司 | Solar MPPT booster unit |
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Address after: 511400 No. 49 Wantai Road, Dongyong Town, Nansha District, Guangzhou City, Guangdong Province (No. 2 Workshop) 401 Patentee after: Guangfei Digital Technology (Guangzhou) Co., Ltd. Address before: 511400 Dongyong Town, Nansha District, Guangzhou City, Guangdong Province, No. 2 Cole Road (Factory Building 7) 202 Patentee before: SCUD (Guangzhou) Digital Technology Co., Ltd. |
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