CN112671039A - Photovoltaic prediction-based energy management system - Google Patents

Photovoltaic prediction-based energy management system Download PDF

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Publication number
CN112671039A
CN112671039A CN202011596727.2A CN202011596727A CN112671039A CN 112671039 A CN112671039 A CN 112671039A CN 202011596727 A CN202011596727 A CN 202011596727A CN 112671039 A CN112671039 A CN 112671039A
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China
Prior art keywords
module
photovoltaic
signal connection
data scheduling
management system
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Pending
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CN202011596727.2A
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Chinese (zh)
Inventor
张万涛
尹智海
白洋
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Shanghai Yibian Technology Co ltd
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Shanghai Yibian Technology Co ltd
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Priority to CN202011596727.2A priority Critical patent/CN112671039A/en
Publication of CN112671039A publication Critical patent/CN112671039A/en
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • 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
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/14—Energy storage units
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol

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  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to the technical field of energy management, in particular to an energy management system based on photovoltaic prediction, which comprises a photovoltaic panel, a solar charging and discharging controller, a storage battery, an actual photovoltaic data recording module, an inverter, a double-selection switch, a commercial power, a load, a database, a historical photovoltaic data scheduling module, a historical meteorological data scheduling module, a photovoltaic prediction module, a processor, an electricity demand statistics module, a current-day meteorological data scheduling module, a wireless communication module and the Internet; the photovoltaic data of the current day can be predicted through the arranged photovoltaic prediction module, and the processor controls the double-selection switch to be connected with the storage battery or the commercial power, so that the situations that a user is directly connected with solar energy and the solar energy is unstable in power supply are avoided, the phenomenon of excessive loss caused by long-time storage of the solar energy is avoided, the utilization rate of the solar energy is improved, and the normal use of the user is ensured.

Description

Photovoltaic prediction-based energy management system
Technical Field
The invention relates to the technical field of energy management, in particular to an energy management system based on photovoltaic prediction.
Background
Under the severe conditions of increasingly seen coal mine and oil exploitation and rapid deterioration of ecological environment, solar energy is taken as a natural energy, displays unique advantages by abundant reserves, cleanness and no pollution, and is internationally recognized as one of the most competitive energy sources in the future. Obtaining electricity from solar energy requires conversion of light energy into electrical energy by solar cells. The power generation principle of the power supply is completely different from that of other power supplies in the prior art. To enable solar power generation to truly reach a practical level, solar photovoltaic conversion efficiency is improved and cost is reduced, and solar power generation and a power grid are networked.
However, since solar energy is greatly affected by weather conditions, direct transmission of the electric energy converted from solar energy to users is prone to unstable power supply and frequent power failure, and if the electric energy converted from solar energy is stored and then transmitted to users, a certain amount of loss of the electric energy converted from solar energy often exists in the storage process, which is prone to energy waste.
Based on the above, the invention designs an energy management system based on photovoltaic prediction to solve the above problems.
Disclosure of Invention
The present invention is directed to solving the problems set forth in the background above and provides an energy management system based on photovoltaic prediction.
In order to achieve the purpose, the invention provides the following technical scheme:
an energy management system based on photovoltaic prediction comprises a photovoltaic panel, wherein the photovoltaic panel is in signal connection with a solar charge-discharge controller, the solar charge-discharge controller is in signal connection with a storage battery and an actual photovoltaic data recording module, the storage battery is in signal connection with an inverter, the inverter is in signal connection with a double-selection switch, the double-selection switch is also connected with commercial power, the double-selection switch is electrically connected with a load, the actual photovoltaic data recording module is in signal connection with a database, the database is in signal connection with a historical photovoltaic data scheduling module and a historical meteorological data scheduling module, the historical photovoltaic data scheduling module and the historical meteorological data scheduling module are in signal connection with a photovoltaic prediction module, the photovoltaic prediction module is in signal connection with a processor, the processor is in signal connection with the double-selection switch, and the processor is also in signal connection with a power consumption demand statistical, the photovoltaic prediction module is further in signal connection with a current weather data scheduling module, the current weather data scheduling module is in signal connection with a database, and the current weather data scheduling module is in signal connection with the internet through a wireless communication module.
Further, in the energy management system, the wireless communication module includes a WIFI module, a 5G communication module and a 4G communication module.
Further, in the energy management system, the WIFI module, the 5G communication module and the 4G communication module operate in parallel.
Further, in the energy management system, the database is an HBase database.
Further, in the energy management system, the processor is an ARM microprocessor.
Further, in the energy management system, the processor is further in signal connection with a display screen, and the display screen is used for displaying data of each module.
Further, in the energy management system, an electric meter is arranged between the double-selection switch and the load.
Compared with the prior art, the invention has the beneficial effects that: the photovoltaic data of the current day can be predicted through the arranged photovoltaic prediction module, the processor counts the electricity consumption required by the current day according to the electricity consumption demand statistics module, the processor controls the double-selection switch to be firstly connected with the storage battery, the electricity consumption condition is recorded through the electricity meter, and when the electricity consumption is close to the predicted photovoltaic data, the processor controls the double-selection switch to be connected with the commercial power, so that the situation that a user is directly connected with solar energy and the solar energy is unstable in power supply is avoided, the phenomenon that the solar energy is excessively lost due to long-time storage is avoided, the utilization rate of the solar energy is improved, and the normal use of the user is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram schematically illustrating the structure of the present invention;
fig. 2 is a block diagram of a wireless communication module according to the present invention.
In the drawings, the components represented by the respective reference numerals are listed below:
1. a photovoltaic panel; 2. a solar charge-discharge controller; 3. a storage battery; 4. an inverter; 5. commercial power; 6. a double-selection switch; 7. a load; 8. an actual photovoltaic data recording module; 9. a database; 10. a historical photovoltaic data scheduling module; 11. a historical meteorological data scheduling module; 12. a photovoltaic prediction module; 13. a processor; 14. a power consumption demand statistics module; 15. a current weather data scheduling module; 16. a wireless communication module; 161. a WIFI module; 162. a 5G communication module; 163. a 4G communication module; 17. an internet; 18. a display screen.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present embodiment provides a technical solution: an energy management system based on photovoltaic prediction comprises a photovoltaic panel 1, wherein the photovoltaic panel 1 is in signal connection with a solar charge-discharge controller 2, the solar charge-discharge controller 2 is in signal connection with a storage battery 3 and an actual photovoltaic data recording module 8, the storage battery 3 is in signal connection with an inverter 4, the inverter 4 is in signal connection with a double-selection switch 6, the double-selection switch 6 is also connected with a commercial power 5, the double-selection switch 6 is electrically connected with a load 7, the actual photovoltaic data recording module 8 is in signal connection with a database 9, the database 9 is in signal connection with a historical photovoltaic data scheduling module 10 and a historical meteorological data scheduling module 11, the historical photovoltaic data scheduling module 10 and the historical meteorological data scheduling module 11 are in signal connection with a photovoltaic prediction module 12, the photovoltaic prediction module 12 is in signal connection with a processor 13, the processor 13 is in signal connection with the double-selection switch 6, and the, the photovoltaic prediction module 12 is further in signal connection with a current weather data scheduling module 15, the current weather data scheduling module 15 is in signal connection with the database 9, and the current weather data scheduling module 15 is in signal connection with the internet 17 through a wireless communication module 16.
Wherein, the wireless communication module 16 includes a WIFI module 161, a 5G communication module 162, and a 4G communication module 163. The WIFI module 161, the 5G communication module 162 and the 4G communication module 163 operate in parallel, and normal use of the wireless communication module 16 can be guaranteed when one of the modules is damaged. Database 9 is the HBase database. The processor 13 is an ARM microprocessor. The processor 13 is further connected with a display screen 18 through signals, and the display screen 18 is used for displaying data of each module. An ammeter is arranged between the double-selection switch 6 and the load 7.
One specific application of this embodiment is: when the solar energy power utilization device is used, the photovoltaic panel 1 can convert solar energy into electric energy, the electric energy is temporarily stored in the storage battery 3 through the solar energy charging and discharging controller 2, when the solar energy power utilization device needs to be used, direct current is converted into alternating current through the inverter 4 to be used by a load, meanwhile, the weather data scheduling module 15 in the same day is connected with the internet 18 through the wireless communication module 16, so that weather data in the same day are scheduled to be sent to the photovoltaic prediction module 12, historical data in the same period in the previous year are scheduled to be sent to the photovoltaic prediction module 12 through the historical photovoltaic data scheduling module 10 and the historical weather data scheduling module 11, the photovoltaic prediction module 12 searches out a day with similar historical weather data in the same period in the previous year according to the weather data in the same day, the photovoltaic data in the same day are predicted according to the corresponding historical photovoltaic data, the predicted photovoltaic data result is sent to the processor 13, the processor 13 counts the required power consumption in the, the processor 13 controls the double-selection switch 6 to be firstly connected with the storage battery 3, the electricity condition is recorded through the ammeter, and when the electricity consumption is close to the predicted photovoltaic data, the processor 13 controls the double-selection switch 6 to be connected with the commercial power, so that the situation that a user is directly connected with solar energy and the solar energy is unstable in power supply is avoided, the phenomenon that the solar energy is too much lost due to long-time storage is avoided, the utilization rate of the solar energy is improved, and the normal use of the user is guaranteed.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (7)

1. An energy management system based on photovoltaic prediction, characterized in that: the solar photovoltaic energy and weather data scheduling system comprises a photovoltaic panel (1), wherein the photovoltaic panel (1) is in signal connection with a solar charging and discharging controller (2), the solar charging and discharging controller (2) is in signal connection with a storage battery (3) and an actual photovoltaic data recording module (8), the storage battery (3) is in signal connection with an inverter (4), the inverter (4) is in signal connection with a double-selection switch (6), the double-selection switch (6) is further connected with a mains supply (5), the double-selection switch (6) is electrically connected with a load (7), the actual photovoltaic data recording module (8) is in signal connection with a database (9), the database (9) is in signal connection with a historical photovoltaic data scheduling module (10) and a historical weather data scheduling module (11), and the historical photovoltaic data scheduling module (10) and the historical weather data scheduling module (11) are in signal connection with a photovoltaic prediction module (12, photovoltaic prediction module (12) signal connection has treater (13), treater (13) signal connection double-selection switch (6), treater (13) signal connection still has power consumption demand statistics module (14), photovoltaic prediction module (12) still signal connection has current day meteorological data scheduling module (15), current day meteorological data scheduling module (15) signal connection database (9), current day meteorological data scheduling module (15) is through wireless communication module (16) signal connection internet (17).
2. The photovoltaic prediction-based energy management system of claim 1, wherein: the wireless communication module (16) comprises a WIFI module (161), a 5G communication module (162) and a 4G communication module (163).
3. The photovoltaic prediction-based energy management system of claim 2, wherein: the WIFI module (161), the 5G communication module (162) and the 4G communication module (163) operate in a parallel mode.
4. The photovoltaic prediction-based energy management system of claim 1, wherein: the database (9) is an HBase database.
5. The photovoltaic prediction-based energy management system of claim 1, wherein: the processor (13) is an ARM microprocessor.
6. The photovoltaic prediction-based energy management system of claim 1, wherein: the processor (13) is further connected with a display screen (18) in a signal mode, and the display screen (18) is used for displaying data of each module.
7. The photovoltaic prediction-based energy management system of claim 1, wherein: an electric meter is arranged between the double-option switch (6) and the load (7).
CN202011596727.2A 2020-12-30 2020-12-30 Photovoltaic prediction-based energy management system Pending CN112671039A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011596727.2A CN112671039A (en) 2020-12-30 2020-12-30 Photovoltaic prediction-based energy management system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011596727.2A CN112671039A (en) 2020-12-30 2020-12-30 Photovoltaic prediction-based energy management system

Publications (1)

Publication Number Publication Date
CN112671039A true CN112671039A (en) 2021-04-16

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011596727.2A Pending CN112671039A (en) 2020-12-30 2020-12-30 Photovoltaic prediction-based energy management system

Country Status (1)

Country Link
CN (1) CN112671039A (en)

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