CN114784942A - Power self-matching efficient intelligent photovoltaic charging control algorithm and system - Google Patents
Power self-matching efficient intelligent photovoltaic charging control algorithm and system Download PDFInfo
- Publication number
- CN114784942A CN114784942A CN202210488718.4A CN202210488718A CN114784942A CN 114784942 A CN114784942 A CN 114784942A CN 202210488718 A CN202210488718 A CN 202210488718A CN 114784942 A CN114784942 A CN 114784942A
- Authority
- CN
- China
- Prior art keywords
- power
- matching
- charging
- circuit
- energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 34
- 238000003860 storage Methods 0.000 claims abstract description 48
- 238000004146 energy storage Methods 0.000 claims abstract description 26
- 238000006243 chemical reaction Methods 0.000 claims description 19
- 238000005516 engineering process Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 11
- 238000005259 measurement Methods 0.000 claims description 10
- 210000001503 joint Anatomy 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000010248 power generation Methods 0.000 description 19
- 238000011161 development Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 239000002699 waste material Substances 0.000 description 4
- 229910000831 Steel Inorganic materials 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- HOWHQWFXSLOJEF-MGZLOUMQSA-N systemin Chemical compound NCCCC[C@H](N)C(=O)N[C@@H](CCSC)C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H]([C@@H](C)O)C(=O)N[C@@H](CC(O)=O)C(=O)OC(=O)[C@@H]1CCCN1C(=O)[C@H]1N(C(=O)[C@H](CC(O)=O)NC(=O)[C@H](CCCN=C(N)N)NC(=O)[C@H](CCCCN)NC(=O)[C@H](CO)NC(=O)[C@H]2N(CCC2)C(=O)[C@H]2N(CCC2)C(=O)[C@H](CCCCN)NC(=O)[C@H](CO)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@@H](NC(=O)[C@H](C)N)C(C)C)CCC1 HOWHQWFXSLOJEF-MGZLOUMQSA-N 0.000 description 1
- 108010050014 systemin Proteins 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/342—The other DC source being a battery actively interacting with the first one, i.e. battery to battery charging
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
- H02J2300/26—The renewable source being solar energy of photovoltaic origin involving maximum power point tracking control for photovoltaic sources
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to the field of photovoltaic charging, in particular to a power self-matching high-efficiency intelligent photovoltaic charging control algorithm and a system. The solar energy self-matching intelligent charging system is provided with four modules, namely an input power matching circuit, an energy storage circuit, an output power matching circuit and a control circuit, the working conditions of a solar battery and a storage battery are monitored in real time through the control circuit, the respective maximum power point and the optimal working point are judged, the maximum power point output of the solar battery is ensured by the input power matching circuit at any moment, the storage battery is ensured to work at the optimal working point at any moment by the output power matching circuit, the energy is excessive or insufficient, and the energy is adjusted by an internal algorithm of a controller and the energy storage circuit of the system, so that the functions of self-matching, efficient and intelligent charging of power and improving the energy utilization efficiency are finally achieved.
Description
Technical Field
The invention relates to the field of photovoltaic charging, in particular to a power self-matching high-efficiency intelligent photovoltaic charging control algorithm and system.
Background
Solar energy is regarded as a perfect substitute for fossil energy as a novel energy source with huge reserves, cleanness and no pollution. In recent years, with the strong support of governments of various countries, the photovoltaic power generation industry develops rapidly and is widely applied to various fields. The statistical report shows that the annual growth rate of the world photovoltaic industry is more than 30%, and a large amount of investors are attracted to the world photovoltaic industry due to good industrial prospects. The newly increased installed capacity of photovoltaic power generation exceeds Germany for the first time according to seasonal calculation, and becomes the first global. In recent years, China is compared with a new photovoltaic power generation increasing machine in the world, and at present, China becomes a large country in the photovoltaic industry and is advancing to the strong country in the photovoltaic industry. The prospect of the photovoltaic industry is bright, the industry faces the sun, but the development process is not plain. For a long time, the development of the world photovoltaic industry mainly depends on the active promotion of governments of various countries and the financial subsidy, and a blossoming scene is created. Fundamentally, the weakness of high photovoltaic power generation cost limits its ability to compete directly with traditional energy sources.
There are two main factors affecting the development of the photovoltaic industry: one is the high material cost of the initial installation and one is the long capital recovery period affected by the efficiency of the power generation. At present, due to the vigorous development of the photovoltaic industry of various countries, the price of a solar panel required by photovoltaic power generation is greatly reduced, the market retail price is reduced to RMB6 yuan/W, and the price is within an acceptable range considering the service life of the solar panel for nearly 20 years. Important obstacles affecting the development of the photovoltaic industry remain to improve the power generation efficiency and shorten the capital recovery period. Solar energy is the same as new energy sources such as wind energy and tidal energy, and the problem of unstable generated power is faced. The generated power varies greatly with environmental changes. Taking solar power generation as an example, the power generation capability of a solar cell is closely related to the solar irradiation intensity. The power generation capacity of the solar cell is weak at night and in rainy days, and even in sunny days, the power generation capacity of the solar cell is only 13: 00-15: 00 has stable power generation capacity, and is extremely unstable in other time periods. Energy harvesting for such unstable energy sources.
The photovoltaic power generation system is composed of a solar cell, a charging control circuit and a storage battery. The solar cell converts solar irradiation energy into electric energy, the ratio of the converted electric energy to the irradiation energy is called energy conversion rate, and the conversion rate is related to the production process and the internal structure of the solar cell and is not considered here. The energy recovery ratio is a ratio (or power ratio) of the electric quantity actually absorbed by the storage battery to the maximum electric quantity that can be output by the solar cell panel. Assuming that the solar cell characteristics have been determined, the maximum power P that it can outputmax(referred to as the maximum power point) is the amount of change in relation to the irradiation intensity. The maximum power P which can be output by the solar battery is different in irradiation intensitymaxIs also different; the maximum power that can be absorbed by the storage battery as a load is PLReferred to as the optimum operating point. P isLThe charge state and the internal resistance of the storage battery are related, and the charge state and the internal resistance are variable quantities in the charging process; the power loss of the charge control circuit is PDamage to(PDecrease in the thickness of the steelIn relation to the charging current, as a variable quantity), then the following three relationships exist during charging:
Pmax＞PL+Pdecrease in the thickness of the steel (1)
Pmax＜PL+PDamage to (2)
Pmax＝PL+PDecrease in the thickness of the steel (3)
In the formula (1), if the maximum power point of the solar battery is greater than the sum of the optimal working point of the storage battery and the power loss of the charging circuit, a part of energy cannot be absorbed by the storage battery, which results in electric energy waste.
In the formula (2), if the maximum power point of the solar battery is smaller than the sum of the optimal working point of the storage battery and the power loss of the charging circuit, the storage battery cannot work at the optimal working point, and the electric quantity generated by solar power generation cannot be completely sent out, so that electric energy waste is caused.
In the formula (3), the maximum power point of the solar cell is equal to the sum of the optimal operating point of the storage battery and the power loss of the charging circuit, and the power generation amount of the solar cell can be fully utilized.
Operating in a photovoltaic power generation systemIn the process, the maximum output power P of the solar cellmaxIs changed at any time, and only specific voltage and current output can obtain Pmax. As the load, the terminal voltage and the internal resistance of the storage battery are also variable quantities, the charge quantity of the storage battery is different, and the optimal working point is also different. Therefore, the power matching of equation (3) is difficult to achieve with a fixed charging circuit.
When the relations of the formulas (1) and (2) appear, the mismatch between the maximum power point of the solar cell and the optimal working point of the storage battery causes the waste of the power generation amount of the solar cell, and the waste is huge in practical application. At present, in western provinces such as Qinghai and Ningxia, the sunlight illumination condition is superior, but the average daily power generation of the set of the built power station is only 4 to 5 hours, and the main reason is that the resources of the set have great intermittence and instability. The situation shows that the photovoltaic charging control technology is immature, the capital return period of photoelectric investment is prolonged, and grid connection difficulty is increased.
Disclosure of Invention
Aiming at the problems, the invention provides a power self-matching high-efficiency intelligent photovoltaic charging control algorithm and system.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: the method comprises the following steps: the device comprises a measurement and control module, a control module, an energy conversion module and a charging module; the measurement and control module is connected with the control module, the measurement and control module and the control module are respectively connected with the solar battery and the storage battery, the control module is connected with the energy conversion module, the energy conversion module is connected with the charging module, the energy conversion module is connected with the power balance transformer, and the control module is connected with the power balance transformer;
the energy conversion module comprises an input power matching circuit, an intermediate energy storage device and an output power matching circuit, wherein the energy storage circuit of the intermediate energy storage device is in butt joint with the input power matching circuit and the output power matching circuit, and the input power matching circuit and the output power matching circuit adopt a power self-matching algorithm for calculation.
Preferably, the power self-matching algorithm of the input power matching circuit and the output power matching circuit performs power matching according to the acquired maximum power point information of the solar cell and the optimal working point information of the storage battery.
Preferably, the power self-matching algorithm is dynamically controlled by adopting a fuzzy control method.
Preferably, the maximum power point information of the solar battery is obtained through the MPPT technology, and the optimal working point information of the storage battery is indirectly obtained according to the terminal voltage, the internal resistance, the temperature and other information of the storage battery.
Preferably, the input power matching circuit is matched with the maximum power point of the solar cell, and the output power matching circuit is matched with the optimal working point of the storage battery.
Preferably, the input quantity of the fuzzy control model established by the fuzzy control method is the state parameters of the solar cell and the storage battery, and the output quantity is a digital quantity.
Preferably, the power self-matching algorithm operating mode includes the following steps:
s1, in an input power matching link, obtaining voltage and current parameters at a maximum power point according to the MPPT technology, charging the intermediate energy storage device by using a power balance transformer circuit, and intelligently controlling a secondary tap of the transformer;
s2, the output power matching circuit is connected with the intermediate energy storage device in a butt joint mode, and the output power matching circuit adjusts output voltage and current according to the optimal working point parameter of the load storage battery;
s3, when the power required by the optimal working point is smaller than the maximum power provided by solar energy, temporarily storing a part of energy in an intermediate energy storage device, or charging a storage battery through a large current of a quick charging technology;
and S4, when the power required by the optimal working point is larger than the power provided by the solar energy, the solar energy and the intermediate energy storage device are combined to charge the storage battery, and the charging circuit adopts the DC/DC technology and can adjust the charging voltage and current.
In summary, the invention has the following advantages:
the invention provides a power self-matching high-efficiency intelligent photovoltaic charging control algorithm and a system, which are provided with four modules, namely an input power matching circuit, an energy storage circuit, an output power matching circuit and a control circuit, wherein the control circuit is used for monitoring the working conditions of a solar battery and a storage battery in real time, judging respective maximum power point and optimal working point, constantly ensuring the maximum power point output of the solar battery by the input power matching circuit, constantly ensuring that the storage battery works at the optimal working point by the output power matching circuit, and regulating the excess or deficiency part of energy by an algorithm in a controller and the energy storage circuit of the system to finally achieve the functions of power self-matching high-efficiency intelligent charging and improving the energy utilization efficiency.
Drawings
FIG. 1 is a block diagram of an embodiment of the present invention;
fig. 2 is a circuit diagram of a research scenario provided by an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
The invention provides a power self-matching high-efficiency intelligent photovoltaic charging control algorithm and a system, which comprise a measurement and control module, a control module, an energy conversion module and a charging module; the measurement and control module is connected with the control module, the solar cell and the storage battery are respectively connected with the measurement and control module, the control module is connected with the energy conversion module, the energy conversion module is connected with the charging module, the energy conversion module is connected with the power balance transformer, and the control module is connected with the power balance transformer; the energy conversion module comprises an input power matching circuit, an intermediate energy storage device and an output power matching circuit, wherein the energy storage circuit of the intermediate energy storage device is in butt joint with the input power matching circuit and the output power matching circuit, and the input power matching circuit and the output power matching circuit adopt a power self-matching algorithm for calculation.
In the above steps, the power self-matching algorithm of the input power matching circuit and the output power matching circuit matches the power according to the collected maximum power point information of the solar battery and the best working point information of the storage battery;
wherein, the power self-matching algorithm adopts a fuzzy control method to carry out dynamic control.
The information of the maximum power point of the solar battery is obtained through the MPPT technology, and the information of the optimal working point of the storage battery is indirectly obtained according to the terminal voltage, the internal resistance, the temperature and the like of the storage battery.
The input power matching circuit is matched with the maximum power point of the solar battery, and the output power matching circuit is matched with the optimal working point of the storage battery.
The input quantity of the fuzzy control model established by the fuzzy control method is the state parameters of the solar battery and the storage battery, and the output quantity is a digital quantity and is used for controlling the parameters of the front and rear power matching circuits and the charge-discharge state switching of the intermediate energy storage circuit.
The power self-matching algorithm operation mode comprises the following steps:
s1, in the input power matching link, obtaining the voltage and current parameters at the maximum power point according to the MPPT technology, charging the intermediate energy storage device by using a power balance transformer circuit, and intelligently controlling the secondary side tap of the transformer;
s2, the output power matching circuit is connected with the intermediate energy storage device in a butt joint mode, and the output power matching circuit adjusts output voltage and current according to the optimal working point parameter of the load storage battery;
s3, when the power needed by the optimal working point is smaller than the maximum power provided by solar energy, a part of energy is temporarily stored in the intermediate energy storage device, or the storage battery is charged by large current through a rapid charging technology;
and S4, when the power required by the optimal working point is larger than the power provided by solar energy, the solar energy and the intermediate energy storage device are used for jointly charging the storage battery, and the charging circuit adopts a DC/DC technology and can adjust the charging voltage and current.
In the embodiment, a mode of combining theory and practice is adopted, a household 1KW photovoltaic system is taken as an example, a mathematical model is established, a control algorithm is determined, circuit simulation is carried out, and an optimal control scheme is obtained. A hardware circuit is built based on 1KW photovoltaic system parameters and a control scheme, a control program is compiled, a prototype of a power self-matching high-efficiency intelligent photovoltaic charging controller is obtained, and the specific implementation scheme is shown in figure 1.
The input power matching link adopts a power balance transformer scheme, and the direct current output by the solar battery is subjected to D/A conversion and is connected to the power balance transformer. And the number of turns of a tap on the secondary side of the transformer is adjusted, so that the power can be matched.
The output power matching link adopts a constant power charging circuit for power matching, and the DC/DC conversion circuit and the PWM technology can change the charging power in real time.
The power self-matching control algorithm adopts a fuzzy control scheme, and a conventional linear model cannot meet the requirement for a multi-input multi-output time-varying model. After the fuzzy control model is established, a plurality of tests are carried out, each parameter is optimized, and finally a better control effect is achieved.
And carrying out a photovoltaic power generation comparison test by using a prototype of the developed power self-matching high-efficiency intelligent photovoltaic charging controller and a common photovoltaic charging controller. And carrying out multiple groups of experiments under different working conditions, and counting the respective obtained comprehensive efficiency. And changing a control scheme of the power self-matching high-efficiency intelligent photovoltaic charging controller, optimizing a charging circuit, and repeating the experiment until the optimal energy utilization efficiency is obtained. The rated power of the device is changed, different specifications which are commonly used are made, and a series of products can be formed.
The route of the technical scheme in the embodiment is shown in fig. 2, and the main contents are decomposed into the following steps:
s10, carrying out tracking research on the maximum power point of the solar cell and the optimal working point of the storage battery, researching a tracking algorithm of the maximum power point and the optimal working point, and returning voltage, current and power value information of the solar cell and the storage battery, wherein the returned value is an analog quantity;
s20, researching a power self-matching algorithm: and designing a controller, collecting voltage, current and power value information of the solar cell and the storage battery returned by the measurement and control device, and performing power matching according to the collected maximum power point of the solar cell and the best working point information of the storage battery. Due to the time-varying of the parameters, a fuzzy control technology is adopted, and appropriate control parameters are selected to carry out the dynamic control of rapidity, stability and accuracy. The input quantity is the state parameters of the solar battery and the storage battery, and the output quantity is a digital quantity;
s30, designing a power self-matching circuit: and outputting a digital quantity according to the calculation result of the automatic power matching algorithm, and controlling the tap change of a power balance transformer in the input energy matching module and the change of charging current in the output energy matching module. The purpose of power self-matching is achieved;
s40, software programming: compiling a control program according to a power self-matching algorithm to realize intelligent control of the solar charging process;
s50, simulation and experiment: and simulating a designed circuit, and carrying out an experiment on the developed controller.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (7)
1. A power self-matching high-efficiency intelligent photovoltaic charging control algorithm and a system are characterized by comprising a measurement and control module, a control module, an energy conversion module and a charging module; the measurement and control module is connected with the control module, the measurement and control module and the control module are respectively connected with the solar battery and the storage battery, the control module is connected with the energy conversion module, the energy conversion module is connected with the charging module, the energy conversion module is connected with the power balance transformer, and the control module is connected with the power balance transformer;
the energy conversion module comprises an input power matching circuit, an intermediate energy storage device and an output power matching circuit, wherein the energy storage circuit of the intermediate energy storage device is in butt joint with the input power matching circuit and the output power matching circuit, and the input power matching circuit and the output power matching circuit adopt a power self-matching algorithm for calculation.
2. The power self-matching efficient intelligent photovoltaic charge control algorithm and system according to claim 1, wherein: and the power self-matching algorithm of the input power matching circuit and the output power matching circuit performs power matching according to the acquired maximum power point information of the solar battery and the optimal working point information of the storage battery.
3. The power self-matching efficient intelligent photovoltaic charge control algorithm and system according to claim 2, wherein: the power self-matching algorithm adopts a fuzzy control method to carry out dynamic control.
4. The power self-matching efficient intelligent photovoltaic charge control algorithm and system according to claim 2, wherein: the maximum power point information of the solar battery is obtained through the MPPT technology, and the optimal working point information of the storage battery is indirectly obtained according to terminal voltage, internal resistance, temperature and other information of the storage battery.
5. The power self-matching efficient intelligent photovoltaic charge control algorithm and system according to claim 2, wherein: the input power matching circuit is matched with the maximum power point of the solar battery, and the output power matching circuit is matched with the optimal working point of the storage battery.
6. The power self-matching efficient intelligent photovoltaic charge control algorithm and system according to claim 3, wherein: the input quantity of the fuzzy control model established by the fuzzy control method is the state parameters of the solar cell and the storage battery, and the output quantity is a digital quantity.
7. The algorithm and system for power self-matching high-efficiency intelligent photovoltaic charging control according to any one of claims 1-6, wherein: the power self-matching algorithm operation mode comprises the following steps:
s1, in an input power matching link, obtaining voltage and current parameters at a maximum power point according to the MPPT technology, charging the intermediate energy storage device by using a power balance transformer circuit, and intelligently controlling a secondary tap of the transformer;
s2, the output power matching circuit is connected with the intermediate energy storage device in a butt joint mode, and the output power matching circuit adjusts output voltage and current according to the optimal working point parameter of the load storage battery;
s3, when the power required by the optimal working point is smaller than the maximum power provided by solar energy, temporarily storing a part of energy in an intermediate energy storage device, or charging a storage battery through a large current of a quick charging technology;
and S4, when the power required by the optimal working point is larger than the power provided by the solar energy, the solar energy and the intermediate energy storage device are combined to charge the storage battery, and the charging circuit adopts the DC/DC technology and can adjust the charging voltage and current.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210488718.4A CN114784942A (en) | 2022-05-06 | 2022-05-06 | Power self-matching efficient intelligent photovoltaic charging control algorithm and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210488718.4A CN114784942A (en) | 2022-05-06 | 2022-05-06 | Power self-matching efficient intelligent photovoltaic charging control algorithm and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114784942A true CN114784942A (en) | 2022-07-22 |
Family
ID=82434156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210488718.4A Pending CN114784942A (en) | 2022-05-06 | 2022-05-06 | Power self-matching efficient intelligent photovoltaic charging control algorithm and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114784942A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080141998A1 (en) * | 2006-12-18 | 2008-06-19 | Ming-Hsin Sun | Maximum power point tracking system for the solar-supercapacitor power device and method using same |
| CN201349185Y (en) * | 2008-12-10 | 2009-11-18 | 胡浩 | Self-regulated building generating system utilizing solar energy |
| CN105226737A (en) * | 2014-06-13 | 2016-01-06 | 浙江师范大学 | A kind of photovoltaic charged method of high recovery rate and device |
| CN205335946U (en) * | 2015-11-30 | 2016-06-22 | 深圳市国耀电子科技股份有限公司 | Adjustable battery charging outfit of aircraft battery |
| CN111585322A (en) * | 2020-05-08 | 2020-08-25 | 武汉天富海科技发展有限公司 | Mobile online photovoltaic charging MPPT device based on variable-step disturbance approximation method |
-
2022
- 2022-05-06 CN CN202210488718.4A patent/CN114784942A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080141998A1 (en) * | 2006-12-18 | 2008-06-19 | Ming-Hsin Sun | Maximum power point tracking system for the solar-supercapacitor power device and method using same |
| CN201349185Y (en) * | 2008-12-10 | 2009-11-18 | 胡浩 | Self-regulated building generating system utilizing solar energy |
| CN105226737A (en) * | 2014-06-13 | 2016-01-06 | 浙江师范大学 | A kind of photovoltaic charged method of high recovery rate and device |
| CN205335946U (en) * | 2015-11-30 | 2016-06-22 | 深圳市国耀电子科技股份有限公司 | Adjustable battery charging outfit of aircraft battery |
| CN111585322A (en) * | 2020-05-08 | 2020-08-25 | 武汉天富海科技发展有限公司 | Mobile online photovoltaic charging MPPT device based on variable-step disturbance approximation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108521140A (en) | A kind of distributed photovoltaic and from energy storage inversion system | |
| CN111276960B (en) | Energy storage module predictive control method in light-storage direct-current micro-grid system | |
| CN103236747B (en) | Photovoltaic power supply hybrid energy storage system | |
| CN103441526B (en) | Grid-connected off-grid small photovoltaic power generation system and control method | |
| WO2022193268A1 (en) | Load transfer and energy storage regulation-based power distribution network voltage control method and system | |
| CN105375518B (en) | A kind of photovoltaic MPPT fuzzy control method and system | |
| CN109672403B (en) | Four-switch MPPT controller | |
| CN107968433B (en) | Direct-current topological structure for improving utilization efficiency of photovoltaic inverter and control method | |
| Njeh et al. | Energy Management of an Autonomous Photovoltaic System under Climatic Variations | |
| CN104218600B (en) | The construction method of battery energy storage system model in a kind of Multiple Time Scales dynamic simulation | |
| Chen et al. | MPPT control strategy of photovoltaic based on improved particle swarm optimization | |
| CN115036995B (en) | Reactive power optimization control method for multistage time multiplexing | |
| CN107968432B (en) | Control method for improving output utilization rate of photovoltaic cell panel | |
| CN114784942A (en) | Power self-matching efficient intelligent photovoltaic charging control algorithm and system | |
| CN108695841A (en) | A kind of low-power independent photovoltaic generating system control method and its main circuit | |
| CN205017247U (en) | Light stores up joint power generation facility | |
| CN114301083A (en) | Photovoltaic micro-grid hybrid energy storage system based on fuzzy control | |
| CN114844112A (en) | Method and system for reducing series-parallel mismatch loss of photovoltaic set | |
| Mahanta et al. | A review of maximum power point tracking algorithm for solar photovoltaic applications | |
| CN113972891A (en) | Photovoltaic power generation system | |
| Muthamizhan et al. | A Multi-Port Autonomous Reconfigurable Solar PV System for Renewable Energy Integration in Hybrid AC/DC System | |
| CN106410867B (en) | A kind of electric energy router power flow method for optimization analysis | |
| CN218733275U (en) | System for reducing series-parallel mismatch loss of photovoltaic set | |
| Liu et al. | Design and implementation of a maximum power point tracking battery charging system for photovoltaic applications | |
| Abdelhalim et al. | Enhanced Vdc Bus Stability for PV and Battery Systems through an Optimized FOPID Controller using a Bidirectional DC-DC Converter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220722 |