CN117691685B - Intelligent regulation and control system for photovoltaic inverter - Google Patents
Intelligent regulation and control system for photovoltaic inverter Download PDFInfo
- Publication number
- CN117691685B CN117691685B CN202410158069.0A CN202410158069A CN117691685B CN 117691685 B CN117691685 B CN 117691685B CN 202410158069 A CN202410158069 A CN 202410158069A CN 117691685 B CN117691685 B CN 117691685B
- Authority
- CN
- China
- Prior art keywords
- photovoltaic
- electricity
- household
- electric quantity
- units
- 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
- 230000005611 electricity Effects 0.000 claims abstract description 103
- 238000010248 power generation Methods 0.000 claims abstract description 47
- 238000004146 energy storage Methods 0.000 claims abstract description 27
- 238000007599 discharging Methods 0.000 claims abstract description 24
- 238000005259 measurement Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 14
- 238000013528 artificial neural network Methods 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 210000004027 cell Anatomy 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
- 210000000352 storage cell Anatomy 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003487 electrochemical reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000010348 incorporation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000007704 transition Effects 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
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- 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
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
-
- 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- 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
-
- 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
- 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
-
- 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)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application relates to an intelligent regulation and control system of a photovoltaic inverter, which relates to the technical field of photovoltaics and comprises the following components: a plurality of household photovoltaic units; each household photovoltaic unit comprises: a photovoltaic inverter; the grid connection port of the photovoltaic inverter is connected with a power grid; the PV component is connected with a PV port of the photovoltaic inverter; the energy storage battery is electrically connected with the photovoltaic inverter; an electrical load; the power utilization load is connected with the photovoltaic inverter; the photovoltaic inverters of the photovoltaic units of a plurality of households are electrically connected with the photovoltaic inverters of the photovoltaic units of the adjacent households through power lines; each household photovoltaic unit performs electric energy self-use or performs electricity taking or discharging to the adjacent household photovoltaic units according to the power generation pre-measurement of the PV component, the storage electric quantity of the energy storage battery and the total electric quantity of the electricity utilization load; and under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid.
Description
Technical Field
The application relates to the technical field of photovoltaics, in particular to an intelligent regulation and control system of a photovoltaic inverter.
Background
The photovoltaic power generation system mainly comprises a solar panel assembly (PV assembly), a controller and an inverter. Currently, in a photovoltaic unit (or called a photovoltaic system for a user), an energy storage battery is configured in addition to the above modules to store electric energy generated by a PV module, and energy scheduling is realized through the energy storage battery at night or when the illumination intensity is reduced. The inverter has a grid-connected mode and an off-grid mode, and when the inverter is connected, energy can be transmitted to a power grid, and electricity can be taken from the power grid.
The technical staff research finds that: the inverter of the photovoltaic units of the plurality of households is easy to cause voltage fluctuation of the power grid due to electricity taking and discharging from the power grid, and a technology for reasonably scheduling energy among the photovoltaic units of the plurality of households is lacking at present so as to solve the technical problems.
Disclosure of Invention
In order to at least partially realize the technical aim, the application provides an intelligent regulation and control system for a photovoltaic inverter.
The intelligent regulation and control system of the photovoltaic inverter provided by the application adopts the following technical scheme.
The intelligent regulation and control system for the photovoltaic inverter is characterized by comprising a plurality of photovoltaic units for households;
Each of the household photovoltaic units comprises:
a photovoltaic inverter; the grid-connected port of the photovoltaic inverter is connected with a power grid;
A PV assembly connected to a PV port of the photovoltaic inverter;
The energy storage battery is electrically connected with the photovoltaic inverter;
an electrical load; the power utilization load is connected with the photovoltaic inverter;
The photovoltaic inverters of the household photovoltaic units are electrically connected with the photovoltaic inverters of the adjacent household photovoltaic units through power lines;
Each household photovoltaic unit performs electric energy self-use or performs electricity taking or discharging to the adjacent household photovoltaic units according to the power generation pre-measurement of the PV component, the storage electric quantity of the energy storage battery and the total electric quantity of the electricity utilization load; and under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid.
By adopting the technical scheme, the electric energy interaction between the photovoltaic units of the user is preferentially carried out, the probability of electricity taking or discharging to the power grid is reduced, and further the fluctuation of the power grid is reduced.
Optionally, each household photovoltaic unit performs electric energy self-use or performs electricity taking or discharging to the adjacent household photovoltaic units according to the power generation pre-measurement of the PV assembly, the storage electric quantity of the energy storage battery and the total electric quantity of the electricity utilization load; under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the method for taking or discharging the electricity to the power grid comprises the following steps:
acquiring the electric quantity stored by the energy storage battery in the photovoltaic unit of the household, and recording the electric quantity as the stored electric quantity;
Acquiring weather forecast data and inputting the weather forecast data into a photovoltaic prediction model to obtain a power generation predicted quantity;
acquiring the electricity consumption of an electricity consumption load in the current time period, and recording the electricity consumption as first electricity consumption; predicting the electricity consumption of the next stage based on the first electricity consumption, and recording the electricity consumption as second electricity consumption; and
Judging whether electric energy is used by itself or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity, and taking or discharging electricity to a photovoltaic unit of an adjacent user; and under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid.
Optionally, based on the stored electricity quantity, the power generation predicted quantity and the second electricity consumption quantity, judging whether the electric energy is used by itself, and taking or discharging electricity to the photovoltaic units of adjacent users; under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the method for taking or discharging the electricity to the power grid comprises the following steps:
Judging whether an electric energy self-use condition is met or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity; if yes, carrying out electric energy self-use;
If the electric energy self-use condition is judged not to be met, judging whether redundant electric energy is transmitted to the photovoltaic units of the adjacent users; if yes, judging whether the adjacent household photovoltaic units need to be powered;
If the fact that the adjacent household photovoltaic units need to be powered on is judged, the photovoltaic inverter is controlled to discharge to the household photovoltaic units needing to be powered on; and
And if no adjacent household photovoltaic units need to be powered, controlling the photovoltaic inverter to discharge to a power grid.
Optionally, when N adjacent household photovoltaic units need to get electricity, the photovoltaic inverter is controlled to discharge electricity to the household photovoltaic units needing to get electricity, including:
obtaining an allocable electric quantity M based on the stored electric quantity, the power generation predicted quantity and the second electric quantity;
initializing a storage list;
sequencing according to the number of electric quantity required by all household photovoltaic units from large to small;
Starting from the maximum required electric quantity, sequentially distributing the distributable electric quantity M to each household photovoltaic unit; if the current residual electric quantity is insufficient to meet the requirement of the photovoltaic unit of one user, skipping the photovoltaic unit of the user, and continuing to distribute the photovoltaic unit to the next user until the distributable electric quantity M is completely distributed or until the residual electric quantity of the distributable electric quantity M is smaller than a preset value; during the distribution process, the distributed household photovoltaic units are recorded in a storage list;
discharging to the user photovoltaic units in the storage list.
Optionally, the training method of the photovoltaic prediction model includes:
Constructing an initial prediction neural network based on parameter information of a PV component of a photovoltaic unit of a user;
training the initial prediction neural network by adopting historical photovoltaic power generation data to obtain an initial prediction model;
obtaining a power generation predicted value according to the initial prediction model prediction, and obtaining a power generation actual value of a photovoltaic unit of a user;
And carrying out confidence verification on the initial prediction model based on the power generation actual value, and obtaining a photovoltaic prediction model when the confidence meets a preset value.
Optionally, the electric load comprises a charging pile and a household appliance.
Drawings
FIG. 1 is a system block diagram of a photovoltaic inverter intelligent regulation system in accordance with an embodiment of the present application;
In the figure, 101, a photovoltaic inverter; 102. a PV assembly; 103. an energy storage battery; 104. and (5) using an electric load.
Detailed Description
The application is further illustrated by the following description of the specific embodiments in conjunction with the accompanying drawings of fig. 1:
First, what needs to be described here is: in the description of the present application, terms such as "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," and the like are used for convenience of description only as regards orientation or positional relationship as shown in the accompanying drawings, and do not denote or imply that the apparatus or element in question must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application; moreover, the numerical terms such as the terms "first," "second," "third," etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, unless explicitly stated or limited otherwise, the terms "mounted," "connected," and "connected" should be construed broadly, and may be, for example, a fixed connection, a releasable connection, an interference fit, a transition fit, or an integral connection; can be directly connected or indirectly connected through an intermediate medium; the specific meaning of the above terms in the present application will be understood by those skilled in the art according to the specific circumstances.
The embodiment of the application discloses an intelligent regulation and control system for a photovoltaic inverter 101. Referring to fig. 1, as an embodiment of a photovoltaic inverter 101 intelligent regulation system, a photovoltaic inverter 101 intelligent regulation system includes a plurality of photovoltaic units for a household;
each of the household photovoltaic units comprises: photovoltaic inverter 101, PV module 102, energy storage cell 103, and electrical load 104.
The grid connection port of the photovoltaic inverter 101 is connected with a power grid. In particular, the photovoltaic inverter 101 is a power electronics device whose primary function is to convert direct current generated by a photovoltaic module (PV module 102) into alternating current for incorporation into the grid or for use by a consumer. The grid-connected port of the photovoltaic inverter 101 is connected with a power grid, and the photovoltaic inverter 101 can directly inject generated alternating current into the power grid to realize grid-connected operation of a photovoltaic power generation system or take power from the power grid.
The PV assembly 102 is connected to the PV port of the photovoltaic inverter 101. The PV module 102, also known as a photovoltaic module, is an important component in a photovoltaic system. The solar cell mainly comprises a plurality of solar cells, and absorbs sunlight and converts the sunlight into electric energy. When sunlight impinges on the PV assembly 102, the solar cells in the PV assembly 102 convert light energy to electrical energy and output as direct current. The direct current is transmitted to the PV port of the photovoltaic inverter 101 through the connection line, and then the photovoltaic inverter 101 performs current conversion and frequency adjustment, and finally outputs as stable and usable alternating current.
The energy storage battery 103 is electrically connected to the photovoltaic inverter 101. The energy storage cell 103 is typically composed of a plurality of battery cells, converts electrical energy into chemical energy for storage by electrochemical reaction, and converts chemical energy into electrical energy for output by reverse reaction when needed. The electrical connection between the energy storage battery 103 and the photovoltaic inverter 101 means that the electrical connection is established between the energy storage battery 103 and the photovoltaic inverter 101, so as to realize energy transmission and conversion, and the electric energy generated by the photovoltaic power generation system is converted into alternating current electric energy through the photovoltaic inverter 101, and then is transmitted to the energy storage battery 103 for storage through the electrical connection. When power is required, the energy storage battery 103 may provide the required dc power to the photovoltaic inverter 101.
The power load 104 is connected to the photovoltaic inverter 101. Specifically, the electrical load 104 refers to a device or system capable of consuming electrical energy, such as a light bulb, an air conditioner, a television, or the like. The connection between the electric load 104 and the photovoltaic inverter 101 requires that the direct current generated by the photovoltaic power generation system is converted by the photovoltaic inverter 101 to be supplied to the electric load 104.
The photovoltaic inverters 101 of the household photovoltaic units are electrically connected with the photovoltaic inverters 101 of the adjacent household photovoltaic units through power lines; each household photovoltaic unit performs electric energy self-use or performs electricity taking or discharging to the adjacent household photovoltaic units according to the power generation pre-measurement of the PV component 102, the storage electric quantity of the energy storage battery 103 and the total electric quantity of the electricity utilization load 104; and under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid. Specifically, the photovoltaic inverter 101 of the photovoltaic unit of the household is electrically connected to the photovoltaic inverter 101 of the photovoltaic unit of the adjacent household through a power line, and each photovoltaic unit of the household is regulated and controlled according to the total power generation amount, the stored power of the energy storage battery 103 and the total power consumption amount. When the predicted amount of power generation by the photovoltaic module 102 exceeds the user's demand, the system automatically stores excess electrical energy into the energy storage cell 103 or delivers it to an adjacent household photovoltaic unit. When the power of the energy storage battery 103 is insufficient or the user needs more power, the system can take or discharge power from the power grid or other photovoltaic units for user to meet the power demand of the user. Because the electric energy interaction between the photovoltaic units of the user is preferentially carried out, the probability of electricity taking or discharging to the power grid is reduced, and further fluctuation of the power grid is reduced.
As a specific implementation mode of the intelligent regulation and control system of the photovoltaic inverter 101, each household photovoltaic unit performs electric energy self-use or performs electricity taking or discharging to the adjacent household photovoltaic units according to the power generation predicted quantity of the PV assembly 102, the stored electric quantity of the energy storage battery 103 and the total electric quantity of the electric load 104; under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the method for taking or discharging the electricity to the power grid comprises the following steps:
acquiring the electric quantity stored by the energy storage battery 103 in the photovoltaic unit of the user, and recording the electric quantity as the stored electric quantity;
Acquiring weather forecast data and inputting the weather forecast data into a photovoltaic prediction model to obtain a power generation predicted quantity;
acquiring the electricity consumption of the electricity load 104 in the current time period, and recording the electricity consumption as first electricity consumption; predicting the electricity consumption of the next stage based on the first electricity consumption, and recording the electricity consumption as second electricity consumption; and
Judging whether electric energy is used by itself or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity, and taking or discharging electricity to a photovoltaic unit of an adjacent user; and under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid.
Specifically, the electric quantity stored in the energy storage battery 103 in the photovoltaic unit for the user is obtained, weather forecast data is obtained and is input into the photovoltaic prediction model, so that a power generation predicted quantity is obtained; the electricity consumption of the electricity load 104 in the current time period is obtained and is recorded as a first electricity consumption, and the electricity consumption of the next stage is predicted based on the first electricity consumption and is recorded as a second electricity consumption. Judging whether electricity needs to be taken or discharged to a photovoltaic unit or a power grid of an adjacent household or not based on the stored electricity quantity, the electricity generation predicted quantity and the second electricity consumption quantity; and under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid. If the stored electricity is insufficient to meet the demand, or the power generation prediction amount is low, the photovoltaic unit is preferentially used for acquiring the electric energy from other users. If the stored electricity is sufficient and the predicted amount of power generation is high, the excess electric energy is preferentially released to the photovoltaic units of other users.
As a specific implementation mode of the intelligent regulation and control system of the photovoltaic inverter 101, judging whether electric energy is used by itself or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity, and taking or discharging electricity to a photovoltaic unit of an adjacent household; under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the method for taking or discharging the electricity to the power grid comprises the following steps:
Judging whether an electric energy self-use condition is met or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity; if yes, carrying out electric energy self-use;
If the electric energy self-use condition is judged not to be met, judging whether redundant electric energy is transmitted to the photovoltaic units of the adjacent users; if yes, judging whether the adjacent household photovoltaic units need to be powered;
If it is determined that the photovoltaic units of the adjacent households need to be powered, the photovoltaic inverter 101 is controlled to discharge to the photovoltaic units of the households needing to be powered; and
And if no adjacent household photovoltaic units need to be powered, controlling the photovoltaic inverter 101 to discharge to a power grid.
As a specific implementation mode of the intelligent regulation system of the photovoltaic inverter 101, if no redundant electric energy is judged to discharge to the photovoltaic units of the adjacent households, judging whether the adjacent household photovoltaic units can be powered;
if so, electricity is taken from the photovoltaic units of the adjacent users;
If not, electricity is taken from the power grid.
As one implementation manner of the intelligent regulation system of the photovoltaic inverter 101, when N adjacent household photovoltaic units need to be powered, the photovoltaic inverter 101 is controlled to discharge electricity to the household photovoltaic units needing to be powered, including:
obtaining an allocable electric quantity M based on the stored electric quantity, the power generation predicted quantity and the second electric quantity;
initializing a storage list;
sequencing according to the number of electric quantity required by all household photovoltaic units from large to small;
starting from the maximum required electric quantity, sequentially distributing the distributable electric quantity M to each household photovoltaic unit; if the current residual electric quantity is insufficient to meet the requirement of the photovoltaic unit of one user, skipping the photovoltaic unit of the user, and continuing to distribute the photovoltaic unit to the next user until the distributable electric quantity M is completely distributed or until the residual electric quantity of the distributable electric quantity M is smaller than a preset value; during the distribution process, the distributed household photovoltaic units are recorded in a storage list.
Specifically, the number of the photovoltaic unit or the equipment information of the user or the electric quantity required to be transmitted is recorded in the storage list. The electricity can be quickly searched and distributed by obtaining the distributable electricity M based on the stored electricity, the electricity generation predicted quantity and the second electricity consumption and initializing a storage list for storing the photovoltaic units of the households which are already distributed with the electricity; the electric energy is sorted from large to small according to the electric quantity number required by all household photovoltaic units, so that the electric energy can be ensured to be firstly distributed to the household photovoltaic units with large demand; starting from the maximum required power quantity, the allocatable power quantity M is allocated to each household photovoltaic unit in turn. If the current residual electric quantity is insufficient to meet the requirement of the photovoltaic unit of one user, skipping the photovoltaic unit of the user, and continuing to distribute the photovoltaic unit to the next user until the distributable electric quantity M is completely distributed or until the residual electric quantity of the distributable electric quantity M is smaller than a preset value; during the distribution process, the distributed household photovoltaic units are recorded in a storage list. The distribution times of the distributable electric quantity M are reduced, and further the electric energy fluctuation between the power grid or the photovoltaic units of the household is reduced.
As one embodiment of the intelligent regulation system of the photovoltaic inverter 101, the training method of the photovoltaic prediction model includes:
Constructing an initial predictive neural network based on parameter information of the PV assemblies 102 of the user's photovoltaic units;
training the initial prediction neural network by adopting historical photovoltaic power generation data to obtain an initial prediction model;
obtaining a power generation predicted value according to the initial prediction model prediction, and obtaining a power generation actual value of a photovoltaic unit of a user;
And carrying out confidence verification on the initial prediction model based on the power generation actual value, and obtaining a photovoltaic prediction model when the confidence meets a preset value.
Specifically, an initial prediction neural network is constructed based on parameter information of the PV module 102 of the photovoltaic unit of the user, the initial prediction neural network is trained by using historical photovoltaic power generation data, an initial prediction model is obtained, and the prediction model is established through a machine learning algorithm. And the power generation predicted value is obtained according to the prediction of the initial predicted model, the power generation actual value of the photovoltaic unit of the user is obtained, the confidence verification is carried out on the initial predicted model based on the power generation actual value, the accuracy and the reliability of the predicted model are improved by the photovoltaic predicted model when the confidence degree meets the preset value, and the predicted model is higher in accuracy and reliability when the confidence degree meets the preset value.
As one implementation mode of the intelligent regulation system of the photovoltaic inverter 101, the electric load 104 includes a charging pile and a household appliance.
It should be noted that: although the present application has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that the present application may be modified or equivalent thereto without departing from the spirit and scope of the application, and all such modifications and improvements thereof are intended to be included within the scope of the appended claims.
Claims (3)
1. The intelligent regulation and control system for the photovoltaic inverter is characterized by comprising a plurality of photovoltaic units for households;
Each of the household photovoltaic units comprises:
a photovoltaic inverter; the grid-connected port of the photovoltaic inverter is connected with a power grid;
A PV assembly connected to a PV port of the photovoltaic inverter;
The energy storage battery is electrically connected with the photovoltaic inverter;
an electrical load; the power utilization load is connected with the photovoltaic inverter;
The photovoltaic inverters of the household photovoltaic units are electrically connected with the photovoltaic inverters of the adjacent household photovoltaic units through power lines;
Each household photovoltaic unit performs electric energy self-use or performs electricity taking or discharging to the adjacent household photovoltaic units according to the power generation pre-measurement of the PV component, the storage electric quantity of the energy storage battery and the total electric quantity of the electricity utilization load; under the condition that the self-use of electric energy is not met and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid;
Each household photovoltaic unit performs electric energy self-use or performs electricity taking or discharging to the adjacent household photovoltaic units according to the power generation pre-measurement of the PV component, the storage electric quantity of the energy storage battery and the total electric quantity of the electricity utilization load; under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the method for taking or discharging the electricity to the power grid comprises the following steps:
acquiring the electric quantity stored by the energy storage battery in the photovoltaic unit of the household, and recording the electric quantity as the stored electric quantity;
Acquiring weather forecast data and inputting the weather forecast data into a photovoltaic prediction model to obtain a power generation predicted quantity;
acquiring the electricity consumption of an electricity consumption load in the current time period, and recording the electricity consumption as first electricity consumption; predicting the electricity consumption of the next stage based on the first electricity consumption, and recording the electricity consumption as second electricity consumption; and
Judging whether electric energy is used by itself or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity, and taking or discharging electricity to a photovoltaic unit of an adjacent user; under the condition that the self-use of electric energy is not met and the electricity is taken or discharged to the adjacent household photovoltaic units, the electricity is taken or discharged to the power grid;
Judging whether electric energy is used by itself or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity, and taking or discharging electricity to a photovoltaic unit of an adjacent user; under the condition that the self-use of electric energy is not satisfied and the electricity is taken or discharged to the adjacent household photovoltaic units, the method for taking or discharging the electricity to the power grid comprises the following steps:
Judging whether an electric energy self-use condition is met or not based on the stored electric quantity, the power generation predicted quantity and the second electric quantity; if yes, carrying out electric energy self-use;
If the electric energy self-use condition is judged not to be met, judging whether redundant electric energy is transmitted to the photovoltaic units of the adjacent users; if yes, judging whether the adjacent household photovoltaic units need to be powered;
If the fact that the adjacent household photovoltaic units need to be powered on is judged, the photovoltaic inverter is controlled to discharge to the household photovoltaic units needing to be powered on; and
If no adjacent household photovoltaic units need to be powered, the photovoltaic inverter is controlled to discharge to a power grid;
if no redundant electric energy is judged to discharge to the adjacent household photovoltaic units, judging whether the adjacent household photovoltaic units can be powered;
if so, electricity is taken from the adjacent household photovoltaic units;
If the power is not available, taking power from the power grid;
When N adjacent household photovoltaic units need to be powered, the photovoltaic inverter is controlled to discharge electricity to the household photovoltaic units needing to be powered, and the method comprises the following steps:
obtaining an allocable electric quantity M based on the stored electric quantity, the power generation predicted quantity and the second electric quantity;
initializing a storage list;
sequencing according to the number of electric quantity required by all household photovoltaic units from large to small;
Starting from the maximum required electric quantity, sequentially distributing the distributable electric quantity M to each household photovoltaic unit; if the current residual electric quantity is insufficient to meet the requirement of the photovoltaic unit of one user, skipping the photovoltaic unit of the user, and continuing to distribute the photovoltaic unit to the next user until the distributable electric quantity M is completely distributed or until the residual electric quantity of the distributable electric quantity M is smaller than a preset value; during the distribution process, the distributed household photovoltaic units are recorded in a storage list;
discharging to the user photovoltaic units in the storage list.
2. The intelligent regulation and control system of a photovoltaic inverter according to claim 1, wherein the training method of the photovoltaic prediction model comprises:
Constructing an initial prediction neural network based on parameter information of a PV component of a photovoltaic unit of a user;
training the initial prediction neural network by adopting historical photovoltaic power generation data to obtain an initial prediction model;
obtaining a power generation predicted value according to the initial prediction model prediction, and obtaining a power generation actual value of a photovoltaic unit of a user;
And carrying out confidence verification on the initial prediction model based on the power generation actual value, and obtaining a photovoltaic prediction model when the confidence meets a preset value.
3. The intelligent regulation and control system of a photovoltaic inverter according to claim 2, wherein the power load comprises a charging pile and a household appliance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410158069.0A CN117691685B (en) | 2024-02-04 | 2024-02-04 | Intelligent regulation and control system for photovoltaic inverter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410158069.0A CN117691685B (en) | 2024-02-04 | 2024-02-04 | Intelligent regulation and control system for photovoltaic inverter |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117691685A CN117691685A (en) | 2024-03-12 |
| CN117691685B true CN117691685B (en) | 2024-04-23 |
Family
ID=90130542
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410158069.0A Active CN117691685B (en) | 2024-02-04 | 2024-02-04 | Intelligent regulation and control system for photovoltaic inverter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117691685B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118677078A (en) * | 2024-06-11 | 2024-09-20 | 杭州杰通工程技术有限公司 | Highway tunnel illumination power consumption energy memory |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015037355A (en) * | 2013-08-12 | 2015-02-23 | 株式会社Ihi | Power demand/supply control method and apparatus |
| CN104426232A (en) * | 2013-08-22 | 2015-03-18 | 浙江万向太阳能有限公司 | Off-grid type photovoltaic energy storage system and intelligent conversion control method |
| EP2858015A1 (en) * | 2013-10-04 | 2015-04-08 | Building Research Establishment Ltd | System and method for simulation, control and performance monitoring of energy systems |
| CN106849096A (en) * | 2017-03-15 | 2017-06-13 | 云南电网有限责任公司电力科学研究院 | A kind of user side smart micro-grid system |
| KR102072143B1 (en) * | 2019-09-23 | 2020-02-03 | (주)아리네트웍스 | System and method for efficiently supplying power to a plurality of customers and selling the remaining power |
| CN213125590U (en) * | 2020-09-23 | 2021-05-04 | 苏州天富利新能源科技有限公司 | Household photovoltaic energy storage system |
-
2024
- 2024-02-04 CN CN202410158069.0A patent/CN117691685B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015037355A (en) * | 2013-08-12 | 2015-02-23 | 株式会社Ihi | Power demand/supply control method and apparatus |
| CN104426232A (en) * | 2013-08-22 | 2015-03-18 | 浙江万向太阳能有限公司 | Off-grid type photovoltaic energy storage system and intelligent conversion control method |
| EP2858015A1 (en) * | 2013-10-04 | 2015-04-08 | Building Research Establishment Ltd | System and method for simulation, control and performance monitoring of energy systems |
| CN106849096A (en) * | 2017-03-15 | 2017-06-13 | 云南电网有限责任公司电力科学研究院 | A kind of user side smart micro-grid system |
| KR102072143B1 (en) * | 2019-09-23 | 2020-02-03 | (주)아리네트웍스 | System and method for efficiently supplying power to a plurality of customers and selling the remaining power |
| CN213125590U (en) * | 2020-09-23 | 2021-05-04 | 苏州天富利新能源科技有限公司 | Household photovoltaic energy storage system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117691685A (en) | 2024-03-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10923919B2 (en) | Method and apparatus for controlling power flow in a hybrid power system | |
| KR101834061B1 (en) | Method for power management of Energy Storage System connected renewable energy | |
| Arcos-Aviles et al. | Fuzzy logic-based energy management system design for residential grid-connected microgrids | |
| Wichert | PV-diesel hybrid energy systems for remote area power generation—a review of current practice and future developments | |
| EP3206276B1 (en) | Energy storage system and management method thereof | |
| CN102246383B (en) | Autonomous distributed AC power system | |
| KR100993224B1 (en) | Charging equipment of hybrid generating system | |
| EP2808969A1 (en) | Power-generation amount prediction apparatus, correction method for power-generation amount prediction, and natural energy power generation system | |
| CN112651634A (en) | Active power distribution system source network load storage day-ahead active scheduling method based on sequence operation | |
| CN109713699B (en) | Energy management method and intelligent optical storage device | |
| JP2015192566A (en) | Power system and dc power transmission method | |
| US20230294544A1 (en) | Method of Controlling of Battery Energy Storage System of Power System with High Dynamic Loads | |
| KR20190000992A (en) | Energy storage system battery enable module management and control of battery | |
| KR102503382B1 (en) | Method for power management of Energy Storage System connected renewable energy | |
| CN105790420A (en) | Load-switching photovoltaic power generation system and coordinated control scheme | |
| CN117691685B (en) | Intelligent regulation and control system for photovoltaic inverter | |
| CN114678891A (en) | Comprehensive energy multi-node cooperative control system and method | |
| KR20150033971A (en) | Photovoltaics System, apparatus and method for operating of storage battery | |
| EP4020743A1 (en) | Power management system, server, and power supply and demand adjustment method | |
| CN112510768A (en) | Power supply system | |
| CN111244948A (en) | NSGA2 algorithm-based microgrid optimization scheduling method | |
| CN112600242B (en) | Micro-grid data acquisition and monitoring platform | |
| US12142920B2 (en) | Output distribution method of power supply system | |
| Wichert et al. | Predictive control of photovoltaic-diesel hybrid energy systems | |
| CN219477604U (en) | Power supply system |
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 |