CN117318162B - MPPT optimization method, system and medium based on household energy storage inverter - Google Patents
MPPT optimization method, system and medium based on household energy storage inverter Download PDFInfo
- Publication number
- CN117318162B CN117318162B CN202311610291.1A CN202311610291A CN117318162B CN 117318162 B CN117318162 B CN 117318162B CN 202311610291 A CN202311610291 A CN 202311610291A CN 117318162 B CN117318162 B CN 117318162B
- Authority
- CN
- China
- Prior art keywords
- energy storage
- information
- load
- voltage
- differential pressure
- 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.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 250
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000005457 optimization Methods 0.000 title claims abstract description 47
- 238000006243 chemical reaction Methods 0.000 claims abstract description 18
- 238000012216 screening Methods 0.000 claims abstract description 9
- 230000001174 ascending effect Effects 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- HEZMWWAKWCSUCB-PHDIDXHHSA-N (3R,4R)-3,4-dihydroxycyclohexa-1,5-diene-1-carboxylic acid Chemical compound O[C@@H]1C=CC(C(O)=O)=C[C@H]1O HEZMWWAKWCSUCB-PHDIDXHHSA-N 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- 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
- G05F1/66—Regulating electric power
- G05F1/67—Regulating electric power to the maximum power available from a generator, e.g. from solar cell
-
- 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
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Automation & Control Theory (AREA)
- Control Of Electrical Variables (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The embodiment of the application provides an MPPT optimization method, an MPPT optimization system and an MPPT optimization medium based on a household energy storage inverter, wherein the method comprises the following steps: acquiring energy storage information of multiple paths of photovoltaic group strings, and respectively calculating energy storage voltage of each path of photovoltaic group string according to the energy storage information; load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information; comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information; if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information; if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage; and the voltage difference analysis is carried out by analyzing the change of the energy storage voltage and the rated voltage of the load, and the dynamic conversion is carried out on the energy storage voltage by DC-DC, so that the MPPT dynamic tracking optimization precision is improved.
Description
Technical Field
The application relates to the field of MPPT optimization, in particular to an MPPT optimization method, an MPPT optimization system and an MPPT optimization medium based on a household energy storage inverter.
Background
The household energy storage inverter mainly adopts a plurality of paths of photovoltaic strings as energy input ports, in the inverter, each path of photovoltaic string is connected with a DCDC conversion module corresponding to each other one by one, an MPPT algorithm is executed on each path of photovoltaic string by a controller in the inverter to realize MPPT of each path of photovoltaic string, and the MPPT controller can detect the power generation voltage of a solar panel in real time and track the highest voltage current Value (VI) so that the system charges a storage battery with the maximum power output; the method is applied to a solar photovoltaic system, coordinates the work of a solar cell panel, a storage battery and a load, and is a brain of the photovoltaic system.
The currently commonly adopted MPPT algorithm generally performs disturbance according to a certain time and step length, and each step of disturbance needs to be judged according to the power change of the previous step as the disturbance direction of the next step, so that the tracking of the maximum power point is realized. However, in the method, the problem that the MPPT tracking efficiency is low or the tracking is slow often occurs in the scene of multi-mode switching of the household energy storage inverter or frequent change of household load, and effective technical solutions are needed to solve the problem.
Disclosure of Invention
The embodiment of the application aims to provide an MPPT optimizing method, an MPPT optimizing system and an MPPT optimizing medium based on a household energy storage inverter, which are used for carrying out differential pressure analysis by analyzing energy storage voltage change and load rated voltage, carrying out DC-DC (direct current-direct current) dynamic conversion on the energy storage voltage and improving MPPT dynamic tracking optimizing precision.
The embodiment of the application also provides an MPPT optimization method based on the household energy storage inverter, which comprises the following steps:
acquiring energy storage information of multiple paths of photovoltaic group strings, and respectively calculating energy storage voltage of each path of photovoltaic group string according to the energy storage information;
load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information;
comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information;
if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information;
if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage.
Optionally, in the MPPT optimization method based on the home energy storage inverter according to the embodiment of the present application, energy storage information of multiple paths of photovoltaic strings is obtained, and energy storage voltages of each path of photovoltaic strings are calculated according to the energy storage information, which specifically includes:
calculating corresponding energy storage information according to the parameter information of the multi-path photovoltaic group string;
comparing the stored energy information with preset stored energy information to obtain stored energy attenuation information;
according to the energy storage attenuation information and the attenuation time, calculating the energy storage attenuation rate of the photovoltaic string;
if the energy storage attenuation rate is greater than a preset attenuation rate threshold, judging that the corresponding photovoltaic string fails, and isolating the current photovoltaic string;
and if the energy storage attenuation rate is smaller than a preset attenuation rate threshold, respectively calculating the energy storage voltage of each path of photovoltaic group string.
Optionally, in the MPPT optimization method based on the home energy storage inverter according to the embodiment of the present application, load usage information in a home scenario is obtained, and a load rated voltage is calculated according to the load usage information, which specifically includes:
acquiring a plurality of load information under a home scene, and analyzing the load use conditions under different time nodes;
matching energy storage voltages of the corresponding time nodes according to the use condition of the load, and calculating output current according to the energy storage voltages;
and multiplying the stored energy voltage by the output current to obtain the output power of different time nodes.
Optionally, in the MPPT optimization method based on the home energy storage inverter according to the embodiment of the present application, the matching of the energy storage voltage of the corresponding time node is performed according to the load usage situation, and after calculating the output current according to the energy storage voltage, the method further includes:
acquiring energy storage voltage and output current of the same load of different time nodes, and generating an IV curve corresponding to the load;
acquiring IV curves corresponding to different loads, and calculating power information according to the IV curves and load operation power;
and calculating the maximum power point of the load according to the principle of the maximum value, and tracking the maximum power point.
Optionally, in the MPPT optimization method based on the home energy storage inverter according to the embodiment of the present application, calculating a maximum power point of a load according to a maximum principle, and tracking the maximum power point, the method specifically includes:
calculating MPPT efficiency according to the IV curve respectively, and generating a corresponding MPPT efficiency curve;
analyzing an ascending interval and a descending interval of the MPPT efficiency curve according to the MPPT efficiency curve;
calculating a curve extremum according to the ascending interval and the descending interval, and obtaining an efficiency maximum value;
and carrying out real-time tracking according to the MPPT efficiency curve point corresponding to the efficiency maximum value as the maximum power point.
Optionally, in the MPPT optimization method based on the home energy storage inverter according to the embodiment of the present application, DC-DC converting the energy storage voltage according to the correction information to generate a converted energy storage voltage, including:
acquiring differential pressure information, and comparing the differential pressure information with a preset differential pressure threshold value;
if the differential pressure information is larger than the first differential pressure threshold value and smaller than the second differential pressure threshold value, generating first correction information, generating first mode switching information according to the first correction information, adjusting the energy storage voltage according to the first mode switching information, and converting the energy storage voltage;
if the differential pressure information is larger than a second differential pressure threshold value, generating second correction information, generating photovoltaic group string merging information according to the second correction information, merging the energy storage voltages of the photovoltaic group strings of different paths according to the photovoltaic group string merging information, generating merging coefficients, and optimizing the merged energy storage voltages according to the merging coefficients.
In a second aspect, an embodiment of the present application provides an MPPT optimization system based on a home energy storage inverter, the system including: the MPPT optimizing method based on the household energy storage inverter comprises a memory and a processor, wherein the memory comprises a program of the MPPT optimizing method based on the household energy storage inverter, and the program of the MPPT optimizing method based on the household energy storage inverter realizes the following steps when being executed by the processor:
acquiring energy storage information of multiple paths of photovoltaic group strings, and respectively calculating energy storage voltage of each path of photovoltaic group string according to the energy storage information;
load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information;
comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information;
if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information;
if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage.
Optionally, in the MPPT optimization system based on the home energy storage inverter according to the embodiment of the present application, energy storage information of multiple paths of photovoltaic strings is obtained, and energy storage voltages of each path of photovoltaic strings are calculated according to the energy storage information, which specifically includes:
calculating corresponding energy storage information according to the parameter information of the multi-path photovoltaic group string;
comparing the stored energy information with preset stored energy information to obtain stored energy attenuation information;
according to the energy storage attenuation information and the attenuation time, calculating the energy storage attenuation rate of the photovoltaic string;
if the energy storage attenuation rate is greater than a preset attenuation rate threshold, judging that the corresponding photovoltaic string fails, and isolating the current photovoltaic string;
and if the energy storage attenuation rate is smaller than a preset attenuation rate threshold, respectively calculating the energy storage voltage of each path of photovoltaic group string.
Optionally, in the MPPT optimization system based on the home energy storage inverter according to the embodiment of the present application, load usage information in a home scenario is obtained, and a load rated voltage is calculated according to the load usage information, which specifically includes:
acquiring a plurality of load information under a home scene, and analyzing the load use conditions under different time nodes;
matching energy storage voltages of the corresponding time nodes according to the use condition of the load, and calculating output current according to the energy storage voltages;
and multiplying the stored energy voltage by the output current to obtain the output power of different time nodes.
In a third aspect, an embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium includes an MPPT optimization method program based on a home energy storage inverter, where the MPPT optimization method program based on a home energy storage inverter implements the steps of the MPPT optimization method based on a home energy storage inverter according to any one of the foregoing steps when the MPPT optimization method program based on a home energy storage inverter is executed by a processor.
As can be seen from the above, the MPPT optimization method, system and medium based on the household energy storage inverter provided by the embodiments of the present application are implemented by obtaining energy storage information of multiple photovoltaic strings, and calculating energy storage voltage of each photovoltaic string according to the energy storage information; load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information; comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information; if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information; if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage; and the voltage difference analysis is carried out by analyzing the change of the energy storage voltage and the rated voltage of the load, and the dynamic conversion is carried out on the energy storage voltage by DC-DC, so that the MPPT dynamic tracking optimization precision is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an MPPT optimization method based on a home energy storage inverter according to an embodiment of the present application;
fig. 2 is a flowchart of energy storage voltage calculation of an MPPT optimization method based on a home energy storage inverter according to an embodiment of the present application;
fig. 3 is a flowchart of calculating output power of the MPPT optimization method based on the home energy storage inverter according to the embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of an MPPT optimization method based on a home energy storage inverter according to some embodiments of the present application. The MPPT optimization method based on the household energy storage inverter is used in terminal equipment and comprises the following steps:
s101, acquiring energy storage information of a plurality of paths of photovoltaic group strings, and respectively calculating the energy storage voltage of each path of photovoltaic group strings according to the energy storage information;
s102, acquiring load use information in a home scene, and calculating load rated voltage according to the load use information;
s103, comparing the rated voltage of the load with the energy storage voltage to obtain pressure difference information;
s104, if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information;
and S105, if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage.
It should be noted that, by analyzing the load service condition of the home scenario, matching the corresponding energy storage voltage, and by analyzing the differential pressure between the energy storage voltage and the rated load voltage, tracking power is performed, so as to quickly screen out the maximum power point, improve tracking efficiency, and solve the problem that the MPPT tracking efficiency is low or slow frequently occurring in the scenario of multi-mode switching of the home energy storage inverter or frequent change of the home load.
Referring to fig. 2, fig. 2 is a flowchart of energy storage voltage calculation according to an MPPT optimization method based on a home energy storage inverter according to some embodiments of the present application. According to the embodiment of the invention, the energy storage information of the multi-path photovoltaic group strings is obtained, and the energy storage voltage of each path of photovoltaic group string is calculated according to the energy storage information, and the method specifically comprises the following steps:
s201, calculating corresponding energy storage information according to parameter information of the multi-path photovoltaic string;
s202, comparing the stored energy information with preset stored energy information to obtain stored energy attenuation information;
s203, calculating the energy storage attenuation rate of the photovoltaic string according to the energy storage attenuation information and the attenuation time;
s204, if the energy storage attenuation rate is greater than a preset attenuation rate threshold, judging that the corresponding photovoltaic string fails, and isolating the current photovoltaic string;
s205, if the energy storage attenuation rate is smaller than a preset attenuation rate threshold, respectively calculating the energy storage voltage of each path of photovoltaic group string.
It should be noted that, whether the current energy storage information is consistent with the recorded energy storage information is judged by analyzing the energy storage attenuation, if not, the faults of the photovoltaic group string and the current use situation which can be met are analyzed according to the energy storage attenuation rate, so that flexible mode switching is performed.
Referring to fig. 3, fig. 3 is a flowchart of output power calculation of an MPPT optimization method based on a home energy storage inverter according to some embodiments of the present application. According to the embodiment of the invention, the load use information in the home scene is obtained, and the rated voltage of the load is calculated according to the load use information, which comprises the following steps:
s301, acquiring a plurality of load information in a home scene, and analyzing the load use conditions of different time nodes;
s302, matching energy storage voltages of corresponding time nodes according to the use condition of the load, and calculating output current according to the energy storage voltages;
s303, multiplying the stored energy voltage by the output current to obtain the output power of different time nodes.
It should be noted that, the calculation of the output power is performed by analyzing the energy storage voltage and the output current of different time nodes, so that the output power can be analyzed to find the maximum output power and the corresponding energy storage voltage and output current, thereby ensuring that the photovoltaic string can continuously operate according to the maximum output power.
According to the embodiment of the invention, the energy storage voltage of the corresponding time node is matched according to the use condition of the load, and after the output current is calculated according to the energy storage voltage, the method further comprises the following steps:
acquiring energy storage voltage and output current of the same load of different time nodes, and generating an IV curve corresponding to the load;
acquiring IV curves corresponding to different loads, and calculating power information according to the IV curves and load operation power;
and calculating the maximum power point of the load according to the principle of the maximum value, and tracking the maximum power point.
It should be noted that, the IV curve represents a relation curve between the energy storage voltage and the output current, and the energy storage voltage and the output current corresponding to the maximum power point can be tracked by analyzing the IV curve, so that the maximum power point is obtained and tracked according to the change of the energy storage voltage and the output current.
According to the embodiment of the invention, the maximum power point of the load is calculated by the maximum value principle, and the maximum power point is tracked, which comprises the following steps:
calculating MPPT efficiency according to the IV curve respectively, and generating a corresponding MPPT efficiency curve;
analyzing an ascending interval and a descending interval of the MPPT efficiency curve according to the MPPT efficiency curve;
calculating a curve extremum according to the ascending interval and the descending interval, and obtaining an efficiency maximum value;
and carrying out real-time tracking according to the MPPT efficiency curve point corresponding to the efficiency maximum value as the maximum power point.
The fluctuation interval between the ascending area and the descending interval is analyzed by analyzing the trend of the MPPT efficiency curve, and the curve extremum is calculated in the fluctuation interval, so that the efficiency maximum value can be effectively found, and the response is faster when the maximum power point tracking is performed.
According to the embodiment of the invention, the stored energy voltage is subjected to DC-DC conversion according to the correction information to generate the converted stored energy voltage, which specifically comprises the following steps:
acquiring differential pressure information, and comparing the differential pressure information with a preset differential pressure threshold value;
if the differential pressure information is larger than the first differential pressure threshold value and smaller than the second differential pressure threshold value, generating first correction information, generating first mode switching information according to the first correction information, adjusting the energy storage voltage according to the first mode switching information, and converting the energy storage voltage;
if the differential pressure information is larger than a second differential pressure threshold value, generating second correction information, generating photovoltaic group string merging information according to the second correction information, merging the energy storage voltages of the photovoltaic group strings of different paths according to the photovoltaic group string merging information, generating merging coefficients, and optimizing the merged energy storage voltages according to the merging coefficients.
It should be noted that, different differential pressure information switches different modes, so as to convert the energy storage voltage into a voltage value, and when the differential pressure is too large, two or more photovoltaic strings are combined, and coefficients are adjusted according to the energy storage voltages of different photovoltaic strings, so that the combined energy storage voltage is optimized.
According to an embodiment of the present invention, further comprising:
IV curves corresponding to different loads are obtained, and disturbance signals are set;
disturbing the IV curve according to the disturbance signal and the step length, and analyzing disturbance information;
calculating MPPT efficiency change information according to the disturbance information, and generating maximum power point drift information according to the MPPT efficiency change information;
and generating fluctuation of the maximum power point according to the maximum power point drift information, and generating tracking information.
When the external disturbance signal is provided, the MPPT efficiency is easy to fluctuate, and the drift of the maximum power point is calculated according to the disturbance information, so that the maximum power point can be accurately tracked, and the MPPT optimization effect is improved.
In a second aspect, an embodiment of the present application provides an MPPT optimization system based on a home energy storage inverter, the system including: the MPPT optimizing method based on the household energy storage inverter comprises a memory and a processor, wherein the memory comprises a program of the MPPT optimizing method based on the household energy storage inverter, and when the program of the MPPT optimizing method based on the household energy storage inverter is executed by the processor, the following steps are realized:
acquiring energy storage information of multiple paths of photovoltaic group strings, and respectively calculating energy storage voltage of each path of photovoltaic group string according to the energy storage information;
load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information;
comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information;
if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information;
if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage.
It should be noted that, by analyzing the load service condition of the home scenario, matching the corresponding energy storage voltage, and by analyzing the differential pressure between the energy storage voltage and the rated load voltage, tracking power is performed, so as to quickly screen out the maximum power point, improve tracking efficiency, and solve the problem that the MPPT tracking efficiency is low or slow frequently occurring in the scenario of multi-mode switching of the home energy storage inverter or frequent change of the home load.
According to the embodiment of the invention, the energy storage information of the multi-path photovoltaic group strings is obtained, and the energy storage voltage of each path of photovoltaic group string is calculated according to the energy storage information, and the method specifically comprises the following steps:
calculating corresponding energy storage information according to the parameter information of the multi-path photovoltaic group string;
comparing the stored energy information with preset stored energy information to obtain stored energy attenuation information;
according to the energy storage attenuation information and the attenuation time, calculating the energy storage attenuation rate of the photovoltaic string;
if the energy storage attenuation rate is greater than a preset attenuation rate threshold, judging that the corresponding photovoltaic string fails, and isolating the current photovoltaic string;
and if the energy storage attenuation rate is smaller than a preset attenuation rate threshold, respectively calculating the energy storage voltage of each path of photovoltaic group string.
It should be noted that, whether the current energy storage information is consistent with the recorded energy storage information is judged by analyzing the energy storage attenuation, if not, the faults of the photovoltaic group string and the current use situation which can be met are analyzed according to the energy storage attenuation rate, so that flexible mode switching is performed.
According to the embodiment of the invention, the load use information in the home scene is obtained, and the rated voltage of the load is calculated according to the load use information, which comprises the following steps:
acquiring a plurality of load information under a home scene, and analyzing the load use conditions under different time nodes;
matching energy storage voltages of the corresponding time nodes according to the use condition of the load, and calculating output current according to the energy storage voltages;
and multiplying the stored energy voltage by the output current to obtain the output power of different time nodes.
It should be noted that, the calculation of the output power is performed by analyzing the energy storage voltage and the output current of different time nodes, so that the output power can be analyzed to find the maximum output power and the corresponding energy storage voltage and output current, thereby ensuring that the photovoltaic string can continuously operate according to the maximum output power.
According to the embodiment of the invention, the energy storage voltage of the corresponding time node is matched according to the use condition of the load, and after the output current is calculated according to the energy storage voltage, the method further comprises the following steps:
acquiring energy storage voltage and output current of the same load of different time nodes, and generating an IV curve corresponding to the load;
acquiring IV curves corresponding to different loads, and calculating power information according to the IV curves and load operation power;
and calculating the maximum power point of the load according to the principle of the maximum value, and tracking the maximum power point.
It should be noted that, the IV curve represents a relation curve between the energy storage voltage and the output current, and the energy storage voltage and the output current corresponding to the maximum power point can be tracked by analyzing the IV curve, so that the maximum power point is obtained and tracked according to the change of the energy storage voltage and the output current.
According to the embodiment of the invention, the maximum power point of the load is calculated by the maximum value principle, and the maximum power point is tracked, which comprises the following steps:
calculating MPPT efficiency according to the IV curve respectively, and generating a corresponding MPPT efficiency curve;
analyzing an ascending interval and a descending interval of the MPPT efficiency curve according to the MPPT efficiency curve;
calculating a curve extremum according to the ascending interval and the descending interval, and obtaining an efficiency maximum value;
and carrying out real-time tracking according to the MPPT efficiency curve point corresponding to the efficiency maximum value as the maximum power point.
The fluctuation interval between the ascending area and the descending interval is analyzed by analyzing the trend of the MPPT efficiency curve, and the curve extremum is calculated in the fluctuation interval, so that the efficiency maximum value can be effectively found, and the response is faster when the maximum power point tracking is performed.
According to the embodiment of the invention, the stored energy voltage is subjected to DC-DC conversion according to the correction information to generate the converted stored energy voltage, which specifically comprises the following steps:
acquiring differential pressure information, and comparing the differential pressure information with a preset differential pressure threshold value;
if the differential pressure information is larger than the first differential pressure threshold value and smaller than the second differential pressure threshold value, generating first correction information, generating first mode switching information according to the first correction information, adjusting the energy storage voltage according to the first mode switching information, and converting the energy storage voltage;
if the differential pressure information is larger than a second differential pressure threshold value, generating second correction information, generating photovoltaic group string merging information according to the second correction information, merging the energy storage voltages of the photovoltaic group strings of different paths according to the photovoltaic group string merging information, generating merging coefficients, and optimizing the merged energy storage voltages according to the merging coefficients.
It should be noted that, different differential pressure information switches different modes, so as to convert the energy storage voltage into a voltage value, and when the differential pressure is too large, two or more photovoltaic strings are combined, and coefficients are adjusted according to the energy storage voltages of different photovoltaic strings, so that the combined energy storage voltage is optimized.
According to an embodiment of the present invention, further comprising:
IV curves corresponding to different loads are obtained, and disturbance signals are set;
disturbing the IV curve according to the disturbance signal and the step length, and analyzing disturbance information;
calculating MPPT efficiency change information according to the disturbance information, and generating maximum power point drift information according to the MPPT efficiency change information;
and generating fluctuation of the maximum power point according to the maximum power point drift information, and generating tracking information.
When the external disturbance signal is provided, the MPPT efficiency is easy to fluctuate, and the drift of the maximum power point is calculated according to the disturbance information, so that the maximum power point can be accurately tracked, and the MPPT optimization effect is improved.
A third aspect of the present invention provides a computer readable storage medium, where the readable storage medium includes a MPPT optimization method program based on a home energy storage inverter, and when the MPPT optimization method program based on the home energy storage inverter is executed by a processor, the steps of the MPPT optimization method based on the home energy storage inverter as in any one of the above steps are implemented.
The invention discloses an MPPT (maximum power point tracking) optimization method, an MPPT optimization system and an MPPT optimization medium based on a household energy storage inverter, which are characterized in that energy storage information of multiple paths of photovoltaic group strings is obtained, and energy storage voltage of each path of photovoltaic group strings is calculated according to the energy storage information; load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information; comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information; if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information; if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage; and the voltage difference analysis is carried out by analyzing the change of the energy storage voltage and the rated voltage of the load, and the dynamic conversion is carried out on the energy storage voltage by DC-DC, so that the MPPT dynamic tracking optimization precision is improved.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of units is only one logical function division, and there may be other divisions in actual implementation, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (3)
1. The MPPT optimization method based on the household energy storage inverter is characterized by comprising the following steps of:
acquiring energy storage information of multiple paths of photovoltaic group strings, and respectively calculating energy storage voltage of each path of photovoltaic group string according to the energy storage information;
load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information;
comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information;
if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information;
if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage;
acquiring energy storage information of a plurality of paths of photovoltaic group strings, and respectively calculating the energy storage voltage of each path of photovoltaic group string according to the energy storage information, wherein the method specifically comprises the following steps of:
calculating corresponding energy storage information according to the parameter information of the multi-path photovoltaic group string;
comparing the stored energy information with preset stored energy information to obtain stored energy attenuation information;
according to the energy storage attenuation information and the attenuation time, calculating the energy storage attenuation rate of the photovoltaic string;
if the energy storage attenuation rate is greater than a preset attenuation rate threshold, judging that the corresponding photovoltaic string fails, and isolating the current photovoltaic string;
if the energy storage attenuation rate is smaller than a preset attenuation rate threshold, respectively calculating the energy storage voltage of each path of photovoltaic string;
load use information in a home scene is acquired, and load rated voltage is calculated according to the load use information, and the method specifically comprises the following steps:
acquiring a plurality of load information under a home scene, and analyzing the load use conditions under different time nodes;
matching energy storage voltages of the corresponding time nodes according to the use condition of the load, and calculating output current according to the energy storage voltages;
multiplying the energy storage voltage by the output current to obtain the output power of different time nodes;
matching the energy storage voltage of the corresponding time node according to the use condition of the load, and calculating the output current according to the energy storage voltage, wherein the method further comprises the following steps:
acquiring energy storage voltage and output current of the same load of different time nodes, and generating an IV curve corresponding to the load;
acquiring IV curves corresponding to different loads, and calculating power information according to the IV curves and load operation power;
calculating a maximum power point of the load according to a maximum principle, and tracking the maximum power point;
calculating a maximum power point of a load according to a maximum principle, and tracking the maximum power point, wherein the method specifically comprises the following steps of:
calculating MPPT efficiency according to the IV curve respectively, and generating a corresponding MPPT efficiency curve;
analyzing an ascending interval and a descending interval of the MPPT efficiency curve according to the MPPT efficiency curve;
calculating a curve extremum according to the ascending interval and the descending interval, and obtaining an efficiency maximum value;
carrying out real-time tracking according to the MPPT efficiency curve point corresponding to the efficiency maximum value as a maximum power point;
performing DC-DC conversion on the energy storage voltage according to the correction information to generate a converted energy storage voltage, which specifically comprises the following steps:
acquiring differential pressure information, and comparing the differential pressure information with a preset differential pressure threshold value;
if the differential pressure information is larger than the first differential pressure threshold value and smaller than the second differential pressure threshold value, generating first correction information, generating first mode switching information according to the first correction information, adjusting the energy storage voltage according to the first mode switching information, and converting the energy storage voltage;
if the differential pressure information is larger than a second differential pressure threshold value, generating second correction information, generating photovoltaic group string merging information according to the second correction information, merging the energy storage voltages of the photovoltaic group strings of different paths according to the photovoltaic group string merging information, generating merging coefficients, and optimizing the merged energy storage voltages according to the merging coefficients.
2. An MPPT optimization system based on a home energy storage inverter, the system comprising: the MPPT optimizing method based on the household energy storage inverter comprises a memory and a processor, wherein the memory comprises a program of the MPPT optimizing method based on the household energy storage inverter, and the program of the MPPT optimizing method based on the household energy storage inverter realizes the following steps when being executed by the processor:
acquiring energy storage information of multiple paths of photovoltaic group strings, and respectively calculating energy storage voltage of each path of photovoltaic group string according to the energy storage information;
load use information in a home scene is obtained, and load rated voltage is calculated according to the load use information;
comparing the rated voltage of the load with the energy storage voltage to obtain differential pressure information;
if the pressure difference information is smaller than a preset pressure difference threshold value, generating power tracking information, and screening out a maximum power point according to the power tracking information;
if the differential pressure information is larger than a preset differential pressure threshold value, generating correction information, and performing DC-DC conversion on the energy storage voltage according to the correction information to generate converted energy storage voltage;
acquiring energy storage information of a plurality of paths of photovoltaic group strings, and respectively calculating the energy storage voltage of each path of photovoltaic group string according to the energy storage information, wherein the method specifically comprises the following steps of:
calculating corresponding energy storage information according to the parameter information of the multi-path photovoltaic group string;
comparing the stored energy information with preset stored energy information to obtain stored energy attenuation information;
according to the energy storage attenuation information and the attenuation time, calculating the energy storage attenuation rate of the photovoltaic string;
if the energy storage attenuation rate is greater than a preset attenuation rate threshold, judging that the corresponding photovoltaic string fails, and isolating the current photovoltaic string;
if the energy storage attenuation rate is smaller than a preset attenuation rate threshold, respectively calculating the energy storage voltage of each path of photovoltaic string;
load use information in a home scene is acquired, and load rated voltage is calculated according to the load use information, and the method specifically comprises the following steps:
acquiring a plurality of load information under a home scene, and analyzing the load use conditions under different time nodes;
matching energy storage voltages of the corresponding time nodes according to the use condition of the load, and calculating output current according to the energy storage voltages;
multiplying the energy storage voltage by the output current to obtain the output power of different time nodes;
matching the energy storage voltage of the corresponding time node according to the use condition of the load, and calculating the output current according to the energy storage voltage, wherein the method further comprises the following steps:
acquiring energy storage voltage and output current of the same load of different time nodes, and generating an IV curve corresponding to the load;
acquiring IV curves corresponding to different loads, and calculating power information according to the IV curves and load operation power;
calculating a maximum power point of the load according to a maximum principle, and tracking the maximum power point;
calculating a maximum power point of a load according to a maximum principle, and tracking the maximum power point, wherein the method specifically comprises the following steps of:
calculating MPPT efficiency according to the IV curve respectively, and generating a corresponding MPPT efficiency curve;
analyzing an ascending interval and a descending interval of the MPPT efficiency curve according to the MPPT efficiency curve;
calculating a curve extremum according to the ascending interval and the descending interval, and obtaining an efficiency maximum value;
carrying out real-time tracking according to the MPPT efficiency curve point corresponding to the efficiency maximum value as a maximum power point;
performing DC-DC conversion on the energy storage voltage according to the correction information to generate a converted energy storage voltage, which specifically comprises the following steps:
acquiring differential pressure information, and comparing the differential pressure information with a preset differential pressure threshold value;
if the differential pressure information is larger than the first differential pressure threshold value and smaller than the second differential pressure threshold value, generating first correction information, generating first mode switching information according to the first correction information, adjusting the energy storage voltage according to the first mode switching information, and converting the energy storage voltage;
if the differential pressure information is larger than a second differential pressure threshold value, generating second correction information, generating photovoltaic group string merging information according to the second correction information, merging the energy storage voltages of the photovoltaic group strings of different paths according to the photovoltaic group string merging information, generating merging coefficients, and optimizing the merged energy storage voltages according to the merging coefficients.
3. A computer readable storage medium, wherein the computer readable storage medium includes a MPPT optimization method program based on a home energy storage inverter, and the MPPT optimization method program based on the home energy storage inverter implements the steps of the MPPT optimization method based on the home energy storage inverter as set forth in claim 1 when executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311610291.1A CN117318162B (en) | 2023-11-29 | 2023-11-29 | MPPT optimization method, system and medium based on household energy storage inverter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311610291.1A CN117318162B (en) | 2023-11-29 | 2023-11-29 | MPPT optimization method, system and medium based on household energy storage inverter |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117318162A CN117318162A (en) | 2023-12-29 |
| CN117318162B true CN117318162B (en) | 2024-03-19 |
Family
ID=89287027
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311610291.1A Active CN117318162B (en) | 2023-11-29 | 2023-11-29 | MPPT optimization method, system and medium based on household energy storage inverter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117318162B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07225625A (en) * | 1994-02-10 | 1995-08-22 | Norio Kido | Solar battery maximum output point tracking device |
| KR20080061886A (en) * | 2006-12-28 | 2008-07-03 | 한국항공대학교산학협력단 | Solar array simulator for small satellite and method thereof |
| CN101841257A (en) * | 2009-03-20 | 2010-09-22 | 沈朝晖 | Solar photovoltaic control system with dynamic adjustable output of current and voltage |
| CN102611355A (en) * | 2012-03-13 | 2012-07-25 | 特变电工新疆新能源股份有限公司 | Photovoltaic array combiner box |
| DE102016117049A1 (en) * | 2016-09-12 | 2018-03-15 | Phoenix Contact Gmbh & Co. Kg | Multi-strand photovoltaic system, method for operating such and reverse current protection circuit for such |
| KR101847177B1 (en) * | 2017-09-22 | 2018-05-28 | 자동차부품연구원 | Home energy stroage system and method for allocating electronic energy thereof |
| CN109560539A (en) * | 2018-10-26 | 2019-04-02 | 珠海瓦特电力设备有限公司 | A kind of method, circuit and the device of photovoltaic direct-furnish DC power system power distribution |
| CN112732007A (en) * | 2020-12-10 | 2021-04-30 | 深圳先进技术研究院 | Tracking control method and system for maximum power point of photovoltaic cell |
| CN115579954A (en) * | 2022-10-28 | 2023-01-06 | 佛山市索尔电子实业有限公司 | Power tracking method and system for string type photovoltaic inverter |
| CN116301186A (en) * | 2023-03-24 | 2023-06-23 | 深圳市正浩创新科技股份有限公司 | Maximum power point tracking method, photovoltaic system and computer readable storage medium |
-
2023
- 2023-11-29 CN CN202311610291.1A patent/CN117318162B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07225625A (en) * | 1994-02-10 | 1995-08-22 | Norio Kido | Solar battery maximum output point tracking device |
| KR20080061886A (en) * | 2006-12-28 | 2008-07-03 | 한국항공대학교산학협력단 | Solar array simulator for small satellite and method thereof |
| CN101841257A (en) * | 2009-03-20 | 2010-09-22 | 沈朝晖 | Solar photovoltaic control system with dynamic adjustable output of current and voltage |
| CN102611355A (en) * | 2012-03-13 | 2012-07-25 | 特变电工新疆新能源股份有限公司 | Photovoltaic array combiner box |
| DE102016117049A1 (en) * | 2016-09-12 | 2018-03-15 | Phoenix Contact Gmbh & Co. Kg | Multi-strand photovoltaic system, method for operating such and reverse current protection circuit for such |
| KR101847177B1 (en) * | 2017-09-22 | 2018-05-28 | 자동차부품연구원 | Home energy stroage system and method for allocating electronic energy thereof |
| CN109560539A (en) * | 2018-10-26 | 2019-04-02 | 珠海瓦特电力设备有限公司 | A kind of method, circuit and the device of photovoltaic direct-furnish DC power system power distribution |
| CN112732007A (en) * | 2020-12-10 | 2021-04-30 | 深圳先进技术研究院 | Tracking control method and system for maximum power point of photovoltaic cell |
| CN115579954A (en) * | 2022-10-28 | 2023-01-06 | 佛山市索尔电子实业有限公司 | Power tracking method and system for string type photovoltaic inverter |
| CN116301186A (en) * | 2023-03-24 | 2023-06-23 | 深圳市正浩创新科技股份有限公司 | Maximum power point tracking method, photovoltaic system and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117318162A (en) | 2023-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Khan et al. | A comprehensive review of fault diagnosis and tolerant control in DC-DC converters for DC microgrids | |
| Güler et al. | MPPT based model predictive control of grid connected inverter for PV systems | |
| US20200159269A1 (en) | Photovoltaic power generation control method and photovoltaic power generation system | |
| Li et al. | Dynamic equivalent modeling of two-staged photovoltaic power station clusters based on dynamic affinity propagation clustering algorithm | |
| Krishnamoorthy et al. | Machine learning based modeling of power electronic converters | |
| Durna | Adaptive fuzzy hysteresis band current control for reducing switching losses of hybrid active power filter | |
| CN103488238A (en) | Adaptive variable-step MPPT (maximum power point tracking) control method for coping with quick change of illumination intensity | |
| CN110618394A (en) | Fault diagnosis method for photovoltaic microgrid direct current and alternating current converter power supply based on current average value | |
| Mahmoud et al. | A comparative study of four widely-adopted mppt techniques for pv power systems | |
| CN117318162B (en) | MPPT optimization method, system and medium based on household energy storage inverter | |
| US20190363541A1 (en) | MPC-Based PV Maximum Power Point Tracker for Transformerless H5 Inverter with Leakage Current Reduction | |
| Khalilzadeh et al. | A Markovian approach applied to reliability modeling of bidirectional DC-DC converters used in PHEVs and smart grids | |
| Cristaldi et al. | Model‐based maximum power point tracking for photovoltaic panels: parameters identification and training database collection | |
| CN103995561A (en) | Maximum power point tracing method and device | |
| KR101573277B1 (en) | Solar generating apparatus having a function of dynamic mppt and the method thereof | |
| Dong et al. | CCM and DCM analysis of ASC‐qZSIs | |
| Ozbay | PSIM simulation of flyback converter for P&O and IC MPPT algorithms | |
| US9350264B2 (en) | Control device of power converter circuit | |
| Devireddy et al. | A GMPPT algorithm for PV systems using current reference and PI curve under partial shading conditions | |
| CN113359940B (en) | Maximum power point tracking method and system of photovoltaic array | |
| Aguilera et al. | Capacitor voltage estimation for predictive control algorithm of flying capacitor converters | |
| CN116048182A (en) | Photovoltaic module flexible power point tracking method, device, equipment, medium and system | |
| CN113872193B (en) | Multipoint harmonic responsibility division method | |
| Chang et al. | Differential diffusion charge redistribution for photovoltaic cell-level power balancing | |
| CN115345370A (en) | Vine Copula model-based wind turbine generator operation linkage analysis method |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |