CN109510310A - A kind of Intelligent Energy photovoltaic management system - Google Patents
A kind of Intelligent Energy photovoltaic management system Download PDFInfo
- Publication number
- CN109510310A CN109510310A CN201811453125.4A CN201811453125A CN109510310A CN 109510310 A CN109510310 A CN 109510310A CN 201811453125 A CN201811453125 A CN 201811453125A CN 109510310 A CN109510310 A CN 109510310A
- Authority
- CN
- China
- Prior art keywords
- module
- energy
- inverter
- photovoltaic
- electricity consumption
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005611 electricity Effects 0.000 claims abstract description 49
- 238000004891 communication Methods 0.000 claims abstract description 18
- 230000001276 controlling effect Effects 0.000 claims abstract description 4
- 238000003860 storage Methods 0.000 claims description 6
- 238000010248 power generation Methods 0.000 abstract description 11
- 230000000875 corresponding Effects 0.000 abstract description 6
- 238000004458 analytical method Methods 0.000 description 10
- 229920001276 Ammonium polyphosphate Polymers 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000005070 sampling Methods 0.000 description 4
- 238000004140 cleaning Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000004301 light adaptation Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000007423 screening assay 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/0006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network for single frequency AC networks
- H02J13/0013—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network for single frequency AC networks characterised by transmission structure between the control or monitoring unit and the controlled or monitored unit
- H02J13/0017—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network for single frequency AC networks characterised by transmission structure between the control or monitoring unit and the controlled or monitored unit with direct transmission between the control or monitoring unit and the controlled or monitored unit
- H02J13/0075—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network for single frequency AC networks characterised by transmission structure between the control or monitoring unit and the controlled or monitored unit with direct transmission between the control or monitoring unit and the controlled or monitored unit using radio means
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRA-RED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
-
- 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
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
-
- 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
Abstract
The invention discloses a kind of Intelligent Energy photovoltaic management system, including photovoltaic module, inverter, energy manager, smart home, electricity consumption end data collector, cloud platform, mobile terminal connect with cloud platform network communication；Energy manager carries out the data information that photovoltaic module, electricity consumption end data collector and inverter report to be sent to cloud platform after protocol-decoding respectively, and received data information is pushed to mobile terminal by cloud platform；Mobile terminal can issue the control instruction for controlling photovoltaic module, inverter and/or smart home to energy manager, and control instruction sends corresponding control signal to photovoltaic module, smart home and/or inverter to energy manager based on the received.The present invention can acquire the data at power generation end and electricity consumption end, the i.e. generation of the energy and both sides data on probation simultaneously, be intuitively supplied to consumer at power generation end while monitoring the information of inverter and photovoltaic module.
Description
Technical field
The invention belongs to photovoltaic intelligent control technology fields, and in particular to a kind of Intelligent Energy photovoltaic management system.
Background technique
Solar energy is a kind of renewable and clean energy resource, with both at home and abroad to the attention of clean energy resource and Energy restructuring etc.
Positive factor and increasingly receive an acclaim.Therefore, photovoltaic industry has good development prospect, especially distributed photovoltaic system
System, can utilize solar energy with adaptation to local conditions.With the development of photovoltaic industry, the form and networking model of photovoltaic system are further
Diversification has many problems demands to solve, and intelligence, reliability, security requirement all greatly improve.
Photovoltaic data collector is the solution for meeting these demands.However, the photovoltaic data on current domestic market
It is single that collector product acquires data source, mainly to acquire based on inverter data, does not accomplish that the data of component level are adopted
Collection and monitoring, while total electric wire into family is had in the grid connection box of general photovoltaic system, so in acquisition photovoltaic power generation number
According to while, acquire the data at user power utilization end, and carry out corresponding planning application simultaneously, be supplied to user's accordingly power-saving electric construction
View, is the thing achieved many things at one stroke.Such as photovoltaic data collector (the publication number CN in the patent of Hubei University
205003540U), more inverter data can be only acquired, but the data of each photovoltaic module can not be collected.Therefore how
While acquiring inverter and photovoltaic module data, the power information of client is acquired, it, can to improve the safety of photovoltaic system
By property, it is the project for needing to study at present that ease for use, which is supplied to the more intuitive energy usage experience of client,.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of Intelligent Energy photovoltaic management system, electricity consumption end can be acquired
With the data information at power generation end, it is supplied to the intuitive energy usage experience of client.
The technical solution of the present invention is as follows: a kind of Intelligent Energy photovoltaic management system, including for converting light energy into electric energy
Photovoltaic module and direct current for generating photovoltaic module be converted to the inverter of alternating current, further includes:
Energy manager, the photovoltaic module and inverter are controlled by energy manager, the energy manager and photovoltaic
Component and the connection of inverter agreement and the operation data information that photovoltaic module and inverter can be acquired,
Smart home is controlled by the energy manager,
Electricity consumption end data collector, for acquiring the data information of smart home electricity consumption situation, and by the electricity consumption feelings of acquisition
The data information of condition is delivered to energy manager,
Cloud platform is connected to the network with energy manager,
Mobile terminal is connect with cloud platform network communication；
The energy manager distinguishes the data information that photovoltaic module, electricity consumption end data collector and inverter report
It carries out being sent to the cloud platform after protocol-decoding, received data information is pushed to mobile terminal by the cloud platform；
The mobile terminal can issue the control instruction for controlling photovoltaic module, inverter and/or smart home to energy
Manager is measured, control instruction sends out the photovoltaic module, smart home and/or inverter to the energy manager based on the received
Send corresponding control signal.
The data of photovoltaic module, inverter and the acquisition of electricity consumption end data collector can be transmitted to energy pipe in the present invention
Device is managed, energy manager can be communicated using different communication connection modes with cloud platform according to different fields of employment
Connection, such as can be connected by GPRS module, WIFI module or 4G module, the customized communications protocol of the prior art can be passed through
It is mutually communicated, after cloud platform receives the data information that energy manager is sent, after big data analysis, will be analyzed
As a result push feeds back to mobile terminal, and corresponding APP can be set on mobile terminal, and the presentation of related data is carried out via APP
And Optimizing Suggestions, that is, it may make user that can understand electricity consumption situation by mobile terminal remote, if encountering specific condition, such as excellent
Change suggest for need to turn off equipment, have system dangerous or need repairing rectify and improve situation when, user can be right in time by mobile terminal
Photovoltaic module, inverter and smart home etc. issue control instruction, to realize to photovoltaic module, inverter and smart home
Regulation, if encounter high risk condition, such as photovoltaic module is when the temperature is excessively high, can be turned off by energy manager, and to
Cloud platform and mobile terminal issue alarm signal.
Energy manager can be by with electricity consumption end data collector two-way communication in the present invention, the intelligent family that will be sampled
It occupies electricity consumption end bus message to be stored in the storage chip of energy manager, the data information of acquisition, such as wherein may include
The data informations such as family's global voltage, electric current, overall load and frequency per second, according to " being used for for the south electric network academy of sciences
The electrical equipment harmonic characteristic of NILM is studied " etc. in pertinent literatures data it is known that using non-intrusion type cutting load testing technology,
Household electricity situation can be automatically analyzed out, is supplied to user to itself electricity consumption situation, more detailed understanding.Electricity is commonly used in family
Device can substantially be divided into two major classes:
1, resistive household electrical appliance, power factor (PF) can be approximately 1, such as electric heater, electric cooker；
2, non-resistive electric appliance, power factor (PF) are significantly less than 1, such as washing machine, refrigerator.
Intellectual analysis is carried out to electricity consumption end situation using existing NILM method, initialization model first inputs, initial
Changing includes active and reactive and other parameter informations in model, then by acquisition electricity consumption end electricity consumption situation information, by the data of acquisition
It is compared with the parameter in model, finds out variable, data and Preliminary Analysis Results are then sent to cloud platform, it is flat via cloud
Platform pushes on the APP of mobile terminal.
Intelligence obtains household electricity situation: for example the present invention is acquired by the data for home bus, to respective counts
According to edge calculations analytic operation is passed through, to inform which electrical equipment of user is being connected, difference to be shown in user terminal
Electrical equipment power consumption statistics etc..
In the present invention there are many structure types of energy manager, preferably, the energy manager includes MCU mould
Block, wireless communication module, power module and storage chip.
Preferably, the wireless communication module includes Bluetooth module, GPRS module, WIFI module, NB-IOT mould
At least one of block, Zigbee module and 4G module.
Energy manager both acquires the command centre of the acquisition of power generation end data and the acquisition of electricity consumption end data in the present invention,
The sampled data at power generation end and electricity consumption end is wirelessly collected, and is stored in local, CPU passes through preliminary screening assay,
Effective information is sent to cloud platform by modes such as WIFI/GPRS/4G, cloud platform is calculated by big data and analyzed, will be effective
Information is presented in the cell phone application of user, meanwhile, by the algorithm model of NILM, household electricity situation is compared,
It is supplied to the most accurate power information of client.
Preferably, carrying out letter by Zigbee module between the electricity consumption end data collector and the energy manager
Number connection.
Preferably, the energy manager further includes SPI Flash, 485/232 communication interface that is connect with inverter,
Outer watchdog, the status indicator lamp for the clock chip of statistical time and for showing state.
Preferably, carrying out signal connection by Zigbee module between the photovoltaic module and the energy manager.
Preferably, the electricity consumption end data collector includes voltage collector, current collector and frequency collection device
At least one of.
Preferably, the mobile terminal is mobile phone or tablet computer.
Preferably, the MCU module uses Cortex-M3 kernel.
Compared with prior art, the beneficial effects of the present invention are embodied in:
The present invention can acquire the data at power generation end and electricity consumption end, the i.e. generation of the energy and both sides number on probation simultaneously
According to being intuitively supplied to consumer at power generation end while monitoring the information of inverter and photovoltaic module, while providing intelligent control function
The model and edge calculations of NILM can be passed through, active analysis user power utilization is accustomed to by energy manager, in conjunction with the data of cloud platform
Analysis is supplied to user, the energy usage experience optimized in time.The present invention can expand other intelligence on the basis of energy manager
Energy equipment, such as intelligent socket etc. realize that family integrally controls optimization, and the user of separately installed energy manager can pass through
APP understands itself consumption habit and prioritization scheme.
Detailed description of the invention
Fig. 1 is system architecture schematic diagram of the invention.
Fig. 2 is electricity consumption end of the present invention, power generation end and energy management device overall system architecture figure.
Fig. 3 is data information circulation interaction figure in the present invention.
Fig. 4 is NILM basic algorithm model and differentiation flow diagram in the present invention.
Fig. 5 is the structural schematic diagram of energy manager.
Fig. 6 is the analysis flow chart diagram of NILM method in the prior art.
Fig. 7 is the schematic diagram that the active power and reactive power of resistive household electrical appliance in the prior art change over time.
Fig. 8 is the schematic diagram that the active power and reactive power of non-resistive electric appliance in the prior art change over time.
Specific embodiment
As shown in FIG. 1 to 3, the present invention includes photovoltaic module 8 for converting light energy into electric energy and for by light
The direct current that volt component 8 generates is converted to the inverter 9 of alternating current, further includes:
Energy manager 1, photovoltaic module 8 and inverter 9 are controlled by energy manager 1, energy manager 1 and photovoltaic module
8 and the connection of 9 agreement of inverter and the operation data information of photovoltaic module 8 and inverter 9 can be acquired,
Smart home 2 is controlled by energy manager 1,
Electricity consumption end data collector 3, for acquiring the data information of 2 electricity consumption situation of smart home, and by the electricity consumption of acquisition
The data information of situation is delivered to energy manager 1,
Cloud platform 4 is connected to the network with energy manager 1,
Mobile terminal 5 is connect with 4 network communication of cloud platform；
Energy manager 1 distinguishes the data information that photovoltaic module 8, electricity consumption end data collector 3 and inverter 9 report
It carries out being sent to cloud platform 4 after protocol-decoding, received data information is pushed to mobile terminal 5 by cloud platform 4；
Mobile terminal 5 can issue the control instruction for controlling photovoltaic module 8, inverter 9 and/or smart home 2 to energy
Manager 1 is measured, control instruction sends photovoltaic module 8, smart home 2 and/or inverter 9 to energy manager 1 based on the received
Corresponding control signal.
Wherein electricity consumption end data collector 3 may include that voltage collector, current collector and frequency are adopted in the present invention
At least one of storage, mobile terminal 5 are mobile phone or tablet computer.MCU module can use Cortex-M3 kernel.
The data that photovoltaic module 8, inverter 9 and electricity consumption end data collector 3 acquire in the present invention can be transmitted to energy
Measure manager 1, energy manager 1 can according to different fields of employment, using different communication connection mode and cloud platform 4 into
Row communication connection, such as can be connected by GPRS module, WIFI module or 4G module, it can be customized logical by the prior art
News agreement mutually communicated, cloud platform 4 receive energy manager 1 transmission data information after, via big data analysis it
Afterwards, analysis result push is fed back into mobile terminal 5, corresponding APP can be set on mobile terminal 5, carried out via APP related
The presentation of data and Optimizing Suggestions may make user that can remotely understand electricity consumption situation by mobile terminal 5, if encountering specific
Situation, such as Optimizing Suggestions are that need to turn off equipment, have system dangerous or need repairing when rectifying and improving situation, and user can pass through movement
Terminal 5 issues control instruction to photovoltaic module 8, inverter 9 and smart home 2 etc. in time, to realize to photovoltaic module 8, inverse
Become the regulation of device 9 and smart home 2, if encounter high risk condition, such as photovoltaic module 8 is when the temperature is excessively high, can be by energy
Manager 1 is turned off, and issues alarm signal to cloud platform 4 and mobile terminal 5.
Energy manager 1 can be by with 3 two-way communication of electricity consumption end data collector in the present invention, the intelligence that will be sampled
2 electricity consumption end bus message of household is stored in the storage chip of energy manager 1, the data information of acquisition, such as wherein can be with
The data informations such as family's global voltage, electric current, overall load and frequency per second are contained, according to the south electric network academy of sciences
" the electrical equipment harmonic characteristic for NILM is studied " etc. in pertinent literatures data it is known that common electric substantially can be in family
It is divided into two major classes:
1, resistive household electrical appliance, power factor (PF) can be approximately 1, such as electric heater, electric cooker, see Fig. 7；
2, non-resistive electric appliance, power factor (PF) are significantly less than 1, such as washing machine, refrigerator, see Fig. 8.
Intellectual analysis is carried out to electricity consumption end situation using existing NILM method to initialize first as shown in Figure 4 and Figure 6
Mode input includes active and reactive and other parameter informations in initialization model, then passes through acquisition electricity consumption end electricity consumption situation letter
Breath, the parameter in the data and model of acquisition is compared, variable is found out, is then sent to data and Preliminary Analysis Results
Cloud platform 4 is pushed to via cloud platform 4 on the APP of mobile terminal 5.
Intelligence obtains household electricity situation: for example the present invention is acquired by the data for home bus, to respective counts
According to edge calculations analytic operation is passed through, to inform which electrical equipment of user is being connected, difference to be shown in user terminal
Electrical equipment power consumption statistics etc..
In the present invention there are many structure types of energy manager 1, as shown in figure 5, energy manager 1 is wrapped in the present embodiment
MCU module, wireless communication module, power module and storage chip are included, energy manager 1 further includes SPI Flash and inversion
Device 9 connect 485/232 communication interface, outer watchdog, for the clock chip of statistical time and for showing state
Status indicator lamp.Wherein, wireless communication module include Bluetooth module, GPRS module, WIFI module, NB-IOT module,
At least one of Zigbee module and 4G module.In the present embodiment between electricity consumption end data collector 3 and energy manager 1
Signal connection can be carried out by Zigbee module.Between photovoltaic module 8 and energy manager 1 can by Zigbee module into
The connection of row signal.
Energy manager 1 both acquires the command centre of the acquisition of power generation end data and the acquisition of electricity consumption end data in the present invention,
Its sampled data for wirelessly collecting power generation end and electricity consumption end, and it is stored in local, CPU is by preliminary screening point
Effective information is sent to cloud platform 4 by modes such as WIFI/GPRS/4G by analysis, and cloud platform 4 is calculated by big data and analyzed, will
Effective information is presented in the cell phone application of user, meanwhile, by the algorithm model of NILM, household electricity situation is compared
Analysis, is supplied to the most accurate power information of client.
Claims (9)
1. a kind of Intelligent Energy photovoltaic management system including the photovoltaic module for converting light energy into electric energy and is used for light
The direct current that volt component generates is converted to the inverter of alternating current, which is characterized in that further include:
Energy manager connect with photovoltaic module and inverter agreement and can acquire the operation number of photovoltaic module and inverter
It is believed that breath,
Smart home is controlled by the energy manager,
Electricity consumption end data collector, for acquiring the data information of smart home electricity consumption situation, and by the electricity consumption situation of acquisition
Data information is delivered to energy manager,
Cloud platform is connected to the network with energy manager,
Mobile terminal is connect with cloud platform network communication；
The energy manager carries out the data information that photovoltaic module, electricity consumption end data collector and inverter report respectively
It is sent to the cloud platform after protocol-decoding, received data information is pushed to mobile terminal by the cloud platform；
The mobile terminal can issue the control instruction for controlling photovoltaic module, inverter and/or smart home to energy pipe
Device is managed, control instruction sends phase to the photovoltaic module, smart home and/or inverter to the energy manager based on the received
The control signal answered.
2. Intelligent Energy photovoltaic management system as described in claim 1, which is characterized in that the energy manager includes MCU
Module, wireless communication module, power module and storage chip.
3. Intelligent Energy photovoltaic management system as claimed in claim 2, which is characterized in that the wireless communication module includes
At least one of Bluetooth module, GPRS module, WIFI module, NB-IOT module, Zigbee module and 4G module.
4. Intelligent Energy photovoltaic management system as claimed in claim 3, which is characterized in that the electricity consumption end data collector with
Signal connection is carried out by Zigbee module between the energy manager.
5. Intelligent Energy photovoltaic management system as claimed in claim 2, which is characterized in that the energy manager further includes
SPI Flash, 485/232 communication interface being connect with inverter, outer watchdog, for statistical time clock chip and
For showing the status indicator lamp of state.
6. Intelligent Energy photovoltaic management system as claimed in claim 3, which is characterized in that the photovoltaic module and the energy
Signal connection is carried out by Zigbee module between manager.
7. Intelligent Energy photovoltaic management system as described in claim 1, which is characterized in that the electricity consumption end data collector packet
Include at least one of voltage collector, current collector and frequency collection device.
8. Intelligent Energy photovoltaic management system as described in claim 1, which is characterized in that the mobile terminal is mobile phone or puts down
Plate computer.
9. Intelligent Energy photovoltaic management system as claimed in claim 2, which is characterized in that the MCU module uses Cortex-
M3 kernel.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811453125.4A CN109510310A (en) | 2018-11-30 | 2018-11-30 | A kind of Intelligent Energy photovoltaic management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811453125.4A CN109510310A (en) | 2018-11-30 | 2018-11-30 | A kind of Intelligent Energy photovoltaic management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109510310A true CN109510310A (en) | 2019-03-22 |
Family
ID=65749794
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811453125.4A Pending CN109510310A (en) | 2018-11-30 | 2018-11-30 | A kind of Intelligent Energy photovoltaic management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109510310A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111744819A (en) * | 2020-05-11 | 2020-10-09 | 国网浙江省电力有限公司衢州供电公司 | Collector sorting equipment and method |
| CN115175023A (en) * | 2022-09-07 | 2022-10-11 | 安徽南瑞中天电力电子有限公司 | Photovoltaic inverter-based method, system and device for reading meter of internet of things |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102520683A (en) * | 2011-12-02 | 2012-06-27 | 珈伟太阳能科技(上海)有限公司 | Energy source monitoring cloud platform for photovoltaic system |
| CN108303924A (en) * | 2018-02-14 | 2018-07-20 | 广东技术师范学院 | Based on shared photovoltaic information collection cloud platform monitoring system and monitoring method |
| CN108427356A (en) * | 2018-06-04 | 2018-08-21 | 天合光能股份有限公司 | A kind of intelligent photovoltaic data collecting system of photovoltaic module and inverter |
-
2018
- 2018-11-30 CN CN201811453125.4A patent/CN109510310A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102520683A (en) * | 2011-12-02 | 2012-06-27 | 珈伟太阳能科技(上海)有限公司 | Energy source monitoring cloud platform for photovoltaic system |
| CN108303924A (en) * | 2018-02-14 | 2018-07-20 | 广东技术师范学院 | Based on shared photovoltaic information collection cloud platform monitoring system and monitoring method |
| CN108427356A (en) * | 2018-06-04 | 2018-08-21 | 天合光能股份有限公司 | A kind of intelligent photovoltaic data collecting system of photovoltaic module and inverter |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111744819A (en) * | 2020-05-11 | 2020-10-09 | 国网浙江省电力有限公司衢州供电公司 | Collector sorting equipment and method |
| CN115175023A (en) * | 2022-09-07 | 2022-10-11 | 安徽南瑞中天电力电子有限公司 | Photovoltaic inverter-based method, system and device for reading meter of internet of things |
| CN115175023B (en) * | 2022-09-07 | 2022-11-08 | 安徽南瑞中天电力电子有限公司 | Photovoltaic inverter-based method, system and device for reading meter of internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106707778B (en) | Intelligent optimization management system for household comprehensive energy based on model predictive control | |
| CN103269070B (en) | Automatic demand response system and automatic demand response method | |
| CN104901307A (en) | Multi-network-combined home microgrid electric-energy consumption interactive management system and method thereof | |
| US9836803B2 (en) | Network system | |
| CN105471109A (en) | Intelligent power consumption management system facing household wind and solar energy mutual-complementing power station and management method thereof | |
| CN104460621A (en) | Intelligent home power consumption management system based on smart power grid | |
| CN102324585A (en) | Based on the orderly charging method of the electric automobile of multi-agent system | |
| CN104319774A (en) | Monitoring method and device for intelligent community | |
| CN109510310A (en) | A kind of Intelligent Energy photovoltaic management system | |
| CN104932281A (en) | Household micro-power-grid energy-using system and realization method for intelligent electricity consumption interaction thereof | |
| CN106787190A (en) | A kind of monitoring system and monitoring method for DC micro power grid system | |
| CN106685313B (en) | Power generation control method and device for photovoltaic power station and photovoltaic power station | |
| CN207663231U (en) | User oriented using energy source total management system | |
| CN205509658U (en) | Family electric wire netting remote monitoring system | |
| CN103424649A (en) | Energy efficiency acquisition terminal | |
| CN206370695U (en) | A kind of photovoltaic plant | |
| CN110146740A (en) | A kind of household appliances energy consumption calculation system | |
| Zondo et al. | Design of a smart home system using bluetooth protocol | |
| CN206364519U (en) | A kind of home energy source self-contained unit | |
| CN203014485U (en) | Z-Wave based household intelligent electricity consumption interaction device | |
| CN104183997A (en) | Peak shifting control power socket based on virtual energy storage and control method thereof | |
| Halimi | Energy management algorithm for smart home with renewable energy sources | |
| Li et al. | Supply and demand oriented energy management in the internet of things | |
| CN207380505U (en) | Home energy source management controls smart host | |
| CN206211660U (en) | A kind of measurement regulator control system of area's grid virtual unit |
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 |