CN109557862A - A kind of photovoltaic plant power monitor device and method based on edge calculations - Google Patents
A kind of photovoltaic plant power monitor device and method based on edge calculations Download PDFInfo
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Abstract
The present invention provides a kind of photovoltaic plant power monitor device and method based on edge calculations, comprising: photovoltaic module controller and DTU concentrator, Cloud Server, user terminal；The photovoltaic module controller, is installed on photovoltaic module, is integrated with: MPPT photovoltaic module output control unit, MCU processor unit, ZigBee communication unit；What the DTU concentrator formed the ZigBee communication unit collects node, network is by the data forwardings such as photovoltaic power to Cloud Server by wireless communication, the user terminal is used to read the data of Cloud Server, realizes every photovoltaic module power visual control in photovoltaic plant.The present invention is on the basis of existing photovoltaic module controller and MPPT tracker design, in the improvement by hardware and software, so that photovoltaic module controller has certain edge calculations ability, improve computational efficiency and speed, reach efficient real-time power tracking simultaneously, reaches unexpected beneficial effect.
Description
Technical field
The present invention relates to Internet of Things and photovoltaic arts, and in particular to a kind of photovoltaic plant power monitoring based on edge calculations
Device and method.
Background technique
Distributed photovoltaic achieves huge development in China in recent years, and distribution in China formula photovoltaic power generation installation in 2017 is held
Amount is about 19.4GW, 3.6 times higher than 2016, and the accounting in China solar photovoltaic power generation total installation of generating capacity is 27.1%,
Produce the electric power of 13.7TWh, it is sufficient to be all domestic powers in Beijing 7.5 months.Currently, the distributed photovoltaic power generation dress of China
It sets and is mostly installed at China's economic most flourishing east and south, the distributed photovoltaic overwhelming majority is directly installed on building roof
Upper or community's public space, therefore be also to combine closely with user, building, community, city.With China's photovoltaic power station
Large scale construction, safe mass problem also gradually has become the number one killer that photovoltaic plant generates electricity steadily in the long term, extremely
In the case of it is also possible to fire occurs or such major accident that gets an electric shock, not only influence generated energy, but also to property even people
Body life security will all produce serious influence.Therefore safe mass problem has become photovoltaic plant, especially distributed light
Volt system, the problem of being primarily considered as in design, construction and operation.
With the Large scale construction of China's photovoltaic power station, safe mass problem also gradually has become photovoltaic electric
The number one killer of head of a station's phase stable electric generation, it is also possible to fire occurs or such major accident that gets an electric shock, no under extreme case
Generated energy is only influenced, and will all be produced serious influence to the even personal life security of property.Therefore safe mass problem is
Through becoming photovoltaic plant, especially distributed photovoltaic system, the problem of being primarily considered as in design, construction and operation.And it protects
An effective means for hindering distributed photovoltaic assets security is exactly to realize monitoring and the safe shutdown of photovoltaic module grade, at present mainstream
Distributed electrical station administration also only accomplished inverter stage monitoring and control, and for the photovoltaic module generator unit of more details
Then lack effective fine-grained management means.
Therefore with market and standardized requirement, photovoltaic module controller is also born therewith, it has data acquisition, peace
Full shutdown and power optimization (MPPT maximum power point tracking MPPT) function.But only assembly controller currently on the market
(predominantly international top-brand) is not only at high price, it is difficult to which popularity, technically there is also certain deficiencies, comprising: data
Granularity is big, such as the one group of data of acquisition in 5-10 minutes；The data unified concurrent formula of each controller acquisition uploads to data
Center or cloud cause mesh dependence strong, thus collect platform from data and show that result has more obvious delay
(30 minutes or so)；Long delay is also unfavorable for Reverse Turning Control and shutdown；Network transmission is there are unstable and fall net phenomenon, when falling to net
Data may lack；
Due to above-mentioned technology and data problem, the data value and application effect of assembly controller are objectively affected, it is difficult
With accomplish in time, accurately and rapidly data processing and event response.A major reason is exactly light currently on the market among these
Volt assembly controller does not have the ability of edge calculations, i.e. controller can only carry out basic data acquisition and transmission, can only
It is controlled by Server remote, power generation data are stored on Cloud Server, can not locally be stored, be looked into real-time and historical data
It askes, calculate, analyze and judges.When the quantity of controller is continuously increased, the data throughout and calculating energy of Cloud Server
Power can bear immense pressure, and server crash is even resulted in when serious.
Edge calculations refer in the side close to object or data source header, using network, calculating, storage, application core ability
The open platform being integrated provides most proximal end service nearby.Its application program is initiated in edge side, generates faster network service
Response, meet industry real time business, using intelligence, security and privacy in terms of primary demand.According to market survey
The report of company Research and Markets publication, the market scale Compound Annual Growth Rate of edge calculations are up to
35.2%.Edge calculations be will calculate, network, storage, the abilities such as bandwidth extend to the new architecture mould of network edge side from cloud
The intelligent society step of formula, all things on earth interconnection closes on, with Internet of Things, artificial intelligence, VR/AR, block chain, SDN, 5G etc. for representative
Advanced ICT technology development is pushing the change of industry.Real-time, quick, intelligence, safety that edge calculations have with it etc.
Characteristic is creating new value and ecosystem.A kind of photovoltaic plant power monitor device with edge calculations ability has
It is to be developed.
Summary of the invention
To solve the above problems, the photovoltaic plant power monitor device that the present invention provides a kind of based on edge calculations and side
Method, the present invention are passing through hardware and software on the basis of existing photovoltaic module controller and MPPT power tracking device design
Improvement so that photovoltaic module controller have certain edge calculations ability, will originally belong to Cloud Server calculating part number
After decomposing each edge photovoltaic assembly controller according to processing work sinking, mesh dependence is not only greatly reduced, is improved
Computational efficiency and speed, while cloud platform pressure is also mitigated, consumption of data center is saved, is solved due to amount controller
Huge the problem of bringing huge data to calculate pressure and data storage；MPPT algorithm and above-mentioned edge calculations ability knot simultaneously
It closes, has reached efficient real-time power tracking, on the one hand facilitated optimization generating efficiency, it is on the one hand problematic by rapidly switching off
Photovoltaic module, it is therefore prevented that fire or such major accident that gets an electric shock have reached unexpected beneficial effect.
To realize the technical purpose, the technical scheme is that a kind of photovoltaic plant power based on edge calculations
Monitoring device, including photovoltaic module controller and DTU concentrator, Cloud Server, user terminal；
The photovoltaic module controller is installed on every a piece of photovoltaic module in photovoltaic plant, for monolithic photovoltaic
Component realizes power tracking and system group network, is integrated with:
MPPT photovoltaic module output control unit, for acquiring the output parameter data of photovoltaic module；
MCU processor unit, the data for being acquired based on MPPT photovoltaic module output control unit carry out side to data
Edge calculates, and realizes tracking maximum power, data is facilitated to transmit；
ZigBee communication unit, for passing through ZigBee net for the data of the MCU processor cell data calculation processing
Network is forwarded to DTU concentrator；
What the DTU concentrator formed the ZigBee communication unit collects node, and network is by MPPT by wireless communication
Data forwarding to Cloud Server, the user terminal is used to read the data of Cloud Server, realizes every photovoltaic in photovoltaic plant
Component power visual control.
Further, the MCU processor unit uses 32 arm processors of ST Electroncis technical grade
32 arm processor STM32F103C8T6 of STM32F103C8T6, ST Electroncis technical grade are than other kinds of component
The more powerful floating-point operation ability of controller and caching, and A/D digital sample ability and communication control function faster.
As a kind of preferred embodiment of the invention, it is based on above content, unlike, it further include Flash storage
Unit, for realizing data storage buffers, Flash storage unit is dodged using Winbond SLC NAND Flash W25M02GW
Deposit storage chip.It has 2G-bit data capacity, is able to achieve high-speed data processing and read-write；
Further, the data that the MCU processor unit is used to acquire MPPT photovoltaic module output control unit carry out
Data prediction and enhancing data processing.
A kind of photovoltaic plant power monitoring method based on edge calculations, has used the above-mentioned photovoltaic based on edge calculations
Power station power monitor device, comprising the following steps:
S1: the electric current that is arrived according to MPPT photovoltaic module output control unit real-time detection, voltage temperature data carry out data
Sampling；
S2: by real-time sampling in the step S1 and the data detected in MCU processor unit, internal storage unit into
Row caching；
S3: the data that will be cached in the step S2 pre-process by MCU processor unit and enhance data processing, right
Data carry out edge calculations, realize tracking maximum power, and send data to DTU concentrator by ZigBee communication unit；
S4:DTU concentrator tidal data recovering is simultaneously uploaded to Cloud Server；
S5: user terminal reads the data of Cloud Server, realizes every photovoltaic module power visualization prison in photovoltaic plant
Control.
Further, in the step S3 data prediction method are as follows: data are cleaned and are filtered, hence it is evident that due to
Abnormal data caused by A/D sampling or over-sampling will be deleted, and the noises such as high-frequency harmonic also will be by digital filter algorithm mistake
It filters.
Further, the method for data enhancing processing includes: in the step S3
T1: the real-time sampling data (voltage, electric current, power, temperature) cached in the step S2 is carried out further
Calculate, including count, be averaged, accumulate, weighting etc. and handling, calculating 10 seconds, 30 seconds, minute, 5 minutes, the differences such as 10 minute, hours
The data such as cusum, average value, extreme value, the deviation of time scale are stored by the field that database defines respectively；
T2: it by the MPPT algorithm function of component level, is used according to photovoltaic module power generation IV curve and real-time detector data
Conductance increment method calculates maximum power point, and the variation of real-time tracking actual power；
T3: carrying out communication encryption using AES128 bit encryption algorithm to the delta data for tracking actual power in step T2,
It is provided with 0,32,64,128 completeness checks simultaneously；
T4: according to different supervisory level and data communication requirements, added using different data granularities in step T4
The data compression of close mistake uploads to Cloud Server.
As a kind of preferred embodiment of the invention, it is based on above content, unlike, it further include passing through Flash
Storage unit carries out the step of elastic storage: according to whether stable, network speed situation is connected to the network, dynamic regulation data are local
The parameter and capacity of storage, carry out data upload again after network recovery.
Preferably, further include the steps that state determines: being worked by MCU processor unit timing according to parameters
State determines, and is compared with the most common failure parameter of write-in, runaways or the data of reasonable data range can quilt
It is determined as exception or failure.
Further, further include the steps that logout reports: data are written into exception or event of failure, Flash is arrived in storage
Exception or event of failure are uploaded to cloud platform by the step S3 and step S4 by storage unit.
The beneficial effects of the present invention are:
The present invention on the basis of existing photovoltaic module controller and MPPT power tracking device design, by hardware and
The improvement of software will originally belong to the portion of Cloud Server calculating so that photovoltaic module controller has certain edge calculations ability
After divided data processing work sinking decomposes each edge photovoltaic assembly controller, mesh dependence is not only greatly reduced, is mentioned
High computational efficiency and speed, while cloud platform pressure is also mitigated, consumption of data center is saved, is solved due to controller
The problem of substantial amounts bring huge data to calculate pressure and data storage；MPPT algorithm and above-mentioned edge calculations energy simultaneously
Power combines, and has reached efficient real-time power tracking, has on the one hand facilitated optimization generating efficiency, on the one hand by having rapidly switched off
The photovoltaic module of problem, it is therefore prevented that fire or such major accident that gets an electric shock have reached unexpected beneficial effect.
Detailed description of the invention
Fig. 1 is the integral module structural schematic diagram of the photovoltaic plant power monitor device the present invention is based on edge calculations；
Fig. 2 is photovoltaic module controller internal element schematic diagram of the invention；
Fig. 3 is network topology structure schematic diagram of the invention；
Fig. 4 is MCU processor element circuit schematic illustration of the invention；
Fig. 5 is Flash storage unit circuit schematic illustration of the invention；
Fig. 6 is the flow chart of the photovoltaic plant power monitoring method of the invention based on edge calculations；
Fig. 7 is the method flow diagram of data enhancing processing of the invention；
Fig. 8 is MPPT algorithm flow chart of the invention；
Fig. 9 is the photovoltaic plant power monitoring system interface schematic diagram of edge calculations of the invention.
Specific embodiment
Technical solution of the present invention will be clearly and completely described below.
A kind of photovoltaic plant power monitor device based on edge calculations, including photovoltaic module controller and DTU concentrator,
Cloud Server, user terminal；
The photovoltaic module controller is installed on every a piece of photovoltaic module in photovoltaic plant, for monolithic photovoltaic
Component realizes power tracking and system group network, is integrated with:
MPPT photovoltaic module output control unit, for acquiring the output parameter data of photovoltaic module；
MCU processor unit, the data for being acquired based on MPPT photovoltaic module output control unit carry out side to data
Edge calculates, and realizes tracking maximum power, data is facilitated to transmit；
ZigBee communication unit, for passing through ZigBee net for the data of the MCU processor cell data calculation processing
Network is forwarded to DTU concentrator；
What the DTU concentrator formed the ZigBee communication unit collects node, and network is by MPPT by wireless communication
Data forwarding to Cloud Server, the user terminal is used to read the data of Cloud Server, realizes every photovoltaic in photovoltaic plant
Component power visual control.
Network topology structure as shown in Figure 3, be installed on per on a piece of photovoltaic module have edge calculations ability and
The photovoltaic module controller of ZigBee ad hoc capability constitutes edge calculations node, and DTU concentrator, which constitutes, collects node, most
Cloud computing center is formed in cloud service eventually.
Further, as shown in figure 4, the MCU processor unit is using the 32 ARM processing of ST Flectroncis technical grade
Device STM32F103C8T6 and its minimum system, wherein MCU is powered by photovoltaic module, that is to say, that the present invention is realizing edge meter
Under the premise of calculation ability, additional electric power is not needed, all energy will be originally belonged to from the photovoltaic module itself being connected
Cloud platform calculate partial data processing work sinking decompose each edge calculations equipment after, not only greatly reduce network according to
Lai Xing improves computational efficiency and speed, while also mitigating cloud platform pressure, saves consumption of data center.
32 arm processor STM32F103C8T6 of ST Electroncis technical grade are than other kinds of assembly controller
More powerful floating-point operation ability and caching, and A/D digital sample ability and communication control function faster.
As a kind of preferred embodiment of the invention, it is based on above content, unlike, as shown in figure 5, further including
Flash storage unit, for realizing data storage buffers, Flash storage unit uses Winbond SLC NAND Flash
W25M02GW flash memory storage chip.It has 2G-bit data capacity, is able to achieve high-speed data processing and read-write.That is originally
Invention calculates the data such as the voltage that photovoltaic intelligent controller detects, electric current, power and temperature in local MCU, and suitable
Sequence is stored into NAND Flash, reduces mesh dependence, by the data of repeated detection after pretreatment and algorithm process
Encryption, which is packaged, passes through Zigbee wireless network, data network transmission to Cloud Server.
Further, the data that the MCU processor unit is used to acquire MPPT photovoltaic module output control unit carry out
Data prediction and enhancing data processing.
A kind of photovoltaic plant power monitoring method based on edge calculations, has used the above-mentioned photovoltaic based on edge calculations
Power station power monitor device, as shown in Figure 6, comprising the following steps:
S1: the electric current that is arrived according to MPPT photovoltaic module output control unit real-time detection, voltage temperature data carry out data
Sampling；The data such as the electric current, voltage, the temperature that are arrived according to real-time detection, real data sample rate and granularity highest can achieve
10 times/second, and be adjusted；
S2: by real-time sampling in the step S1 and the data detected in MCU processor unit, internal storage unit into
Row caching, prepares for data prediction, and MCU processor unit internal storage highest can cache 256KB data (about 1000 numbers
Strong point)；
S3: the data that will be cached in the step S2 pre-process by MCU processor unit and enhance data processing, right
Data carry out edge calculations, realize tracking maximum power, and send data to DTU concentrator by ZigBee communication unit；
S4:DTU concentrator tidal data recovering is simultaneously uploaded to Cloud Server；
S5: user terminal reads the data of Cloud Server, realizes every photovoltaic module power visualization prison in photovoltaic plant
It controls (i.e. Data visualization).
Further, in the step S3 data prediction method are as follows: data are cleaned and are filtered, hence it is evident that due to
Abnormal data caused by A/D sampling or over-sampling will be deleted, and the noises such as high-frequency harmonic also will be by digital filter algorithm mistake
It filters.
Further, as shown in fig. 7, the method for data enhancing processing includes: in the step S3
T1: the real-time sampling data (voltage, electric current, power, temperature) cached in the step S2 is carried out further
Calculate, including count, be averaged, accumulate, weighting etc. and handling, calculating 10 seconds, 30 seconds, minute, 5 minutes, the differences such as 10 minute, hours
The data such as cusum, average value, extreme value, the deviation of time scale are stored by the field that database defines respectively；
T2: in conjunction with MPPT algorithm as shown in Figure 8, calculating real-time generated output, according to photovoltaic module generate electricity IV curve and
Real-time detector data calculates maximum power point, and the variation of real-time tracking actual power using conductance increment method；
T3: carrying out communication encryption using AES128 bit encryption algorithm to the delta data for tracking actual power in step T2,
Be provided with 0,32,64,128 completeness checks simultaneously, the mode be divided into again standard security mode (plaintext transmission key) and
Advanced security mode (forbids transmission key), meets ZigBee data transmission security requirement；
T4: according to different supervisory level and data communication requirements, added using different data granularities in step T4
The data compression of close mistake uploads to Cloud Server.Preferably, using 1 minute data granularity, guarantee data fineness and net
Balance between network transmission rate.
As a kind of preferred embodiment of the invention, it is based on above content, unlike, it further include passing through F1ash
Storage unit carries out the step of elastic storage: according to whether stable, network speed situation is connected to the network, dynamic regulation data are local
The parameter and capacity of storage, carry out data upload again after network recovery, can guarantee that daylong data are not lost with highest.
Preferably, further include the steps that state determines: being worked by MCU processor unit timing according to parameters
State determines, and is compared with the most common failure parameter of write-in, runaways or the data of reasonable data range can quilt
It is determined as exception or failure.Preferably, when failure occurs, photovoltaic module controller of the invention can open metal-oxide-semiconductor bypass electricity
Stream ensures electrical safety to rapidly switch off problematic photovoltaic module；
Further, further include the steps that logout reports: data are written into exception or event of failure, F1ash is arrived in storage
Exception or event of failure are uploaded to cloud platform by the step S3 and step S4 by storage unit.
As shown in figure 9, can be acquired using the photovoltaic module controller for having edge calculations ability with real-time high-precision each
The operational data (including power, electric current, voltage, temperature, state) of block photovoltaic module, data delay and concurrent data processing capacity
Since the application of edge calculations has obtained great optimization.Under the conditions of comparable bandwidths, concurrent data processing capacity is by simple cloud meter
The 25K packets/second (session/s) of calculation has been increased to 200K session/s, the processing and prison that platform can be smooth simultaneously
Control more photovoltaic modulies.
For those of ordinary skill in the art, without departing from the concept of the premise of the invention, it can also do
Several modifications and improvements out, these are all within the scope of protection of the present invention.
Claims (10)
1. a kind of photovoltaic plant power monitor device based on edge calculations characterized by comprising photovoltaic module controller and
DTU concentrator, Cloud Server, user terminal；
The photovoltaic module controller is installed on every a piece of photovoltaic module in photovoltaic plant, for monolithic photovoltaic module
It realizes power tracking and system group network, is integrated with:
MPPT photovoltaic module output control unit, for acquiring the output parameter data of photovoltaic module；
MCU processor unit, the data for being acquired based on MPPT photovoltaic module output control unit carry out edge meter to data
It calculates, realizes tracking maximum power, data is facilitated to transmit；
ZigBee communication unit, for being turned by ZigBee-network by the data of the MCU processor cell data calculation processing
It is sent to DTU concentrator；
What the DTU concentrator formed the ZigBee communication unit collects node, and network is by MPPT data by wireless communication
It is forwarded to Cloud Server, the user terminal is used to read the data of Cloud Server, realizes every photovoltaic module in photovoltaic plant
Power visual control.
2. the photovoltaic plant power monitor device according to claim 1 based on edge calculations, which is characterized in that described
MCU processor unit uses 32 arm processor STM32F103C8T6 of ST Electroncis technical grade.
3. the photovoltaic plant power monitor device according to claim 2 based on edge calculations, which is characterized in that further include
Flash storage unit, for realizing data storage buffers.
4. the photovoltaic plant power monitor device according to claim 2 based on edge calculations, which is characterized in that described
Flash storage unit uses Winbond SLC NAND FlashW25M02GW flash memory storage chip.
5. a kind of photovoltaic plant power monitoring method based on edge calculations, used as described in claim 1-4 based on side
The photovoltaic plant power monitor device that edge calculates, which comprises the following steps:
S1: electric current, the voltage temperature data progress data sampling arrived according to MPPT photovoltaic module output control unit real-time detection；
S2: by real-time sampling in the step S1 and the data detected in MCU processor unit, internal storage unit is delayed
It deposits；
S3: the data that will be cached in the step S2 pre-process by MCU processor unit and enhance data processing, to data
Edge calculations are carried out, realize tracking maximum power, and DTU concentrator is sent data to by ZigBee communication unit；
S4:DTU concentrator tidal data recovering is simultaneously uploaded to Cloud Server；
S5: user terminal reads the data of Cloud Server, realizes every photovoltaic module power visual control in photovoltaic plant.
6. the photovoltaic plant power monitoring method according to claim 5 based on edge calculations, which is characterized in that the step
The method of data prediction in rapid S3 are as follows: data are cleaned and are filtered, hence it is evident that since A/D sampling or over-sampling cause
Abnormal data will be deleted, the noises such as high-frequency harmonic will also be filtered out by digital filter algorithm.
7. the photovoltaic plant power monitoring method according to claim 5 based on edge calculations, which is characterized in that the step
The method of data enhancing processing includes: in rapid S3
T1: the real-time sampling data (voltage, electric current, power, temperature) cached in the step S2 is further calculated,
Including the processing such as count, be averaged, accumulate, weight, calculate 10 seconds, 30 seconds, minute, 5 minutes, the different times such as 10 minute, hours
The data such as cusum, average value, extreme value, the deviation of scale are stored by the field that database defines respectively；
T2: by the MPPT algorithm function of component level, conductance is used according to photovoltaic module power generation IV curve and real-time detector data
Method of addition calculates maximum power point, and the variation of real-time tracking actual power；
T3: communication encryption is carried out using AES128 bit encryption algorithm to the delta data for tracking actual power in step T2, simultaneously
It is provided with 0,32,64,128 completeness checks；
T4: according to different supervisory level and data communication requirements, using different data granularities to encrypted in step T4
Data compression upload to Cloud Server.
8. the photovoltaic plant power monitoring method according to claim 7 based on edge calculations, which is characterized in that further include
The step of carrying out elastic storage by Flash storage unit: according to whether stable, network speed situation is connected to the network, dynamic is adjusted
Joint number carries out data upload according to the parameter and capacity that are locally stored again after network recovery.
9. the photovoltaic plant power monitoring method according to claim 8 based on edge calculations, which is characterized in that the step
In rapid S3, further include the steps that state determines: working condition being carried out according to parameters by the timing of MCU processor unit and is sentenced
It is fixed, and be compared with the most common failure parameter of write-in, it runaways or the data of reasonable data range can be judged as
Exception or failure.
10. the photovoltaic plant power monitoring method according to claim 8 based on edge calculations, which is characterized in that also wrap
It includes the step of logout reports: data is written into exception or event of failure, storage arrives Flash storage unit, passes through the step
Exception or event of failure are uploaded to cloud platform by rapid S3 and step S4.
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| CN110602176A (en) * | 2019-08-23 | 2019-12-20 | 江西憶源多媒体科技有限公司 | Method for controlling intelligent street lamp by utilizing edge calculation |
| CN110677124A (en) * | 2019-10-25 | 2020-01-10 | 深圳职业技术学院 | Photovoltaic controller based on cloud network terminal and control method thereof |
| CN111049395A (en) * | 2020-01-14 | 2020-04-21 | 上海博昂电气有限公司 | Switching power supply based on edge calculation |
| CN111741073A (en) * | 2020-05-27 | 2020-10-02 | 北京智芯微电子科技有限公司 | Electric power data transmission system based on 5G communication network |
| CN111833212A (en) * | 2020-08-18 | 2020-10-27 | 中腾微网（北京）科技有限公司 | Operation and maintenance management system and method for solar photovoltaic power station |
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| CN110084415A (en) * | 2019-04-19 | 2019-08-02 | 苏州尚能物联网科技有限公司 | A kind of building energy consumption forecasting system and method based on side cloud collaboration hybrid modeling strategy |
| CN110233847A (en) * | 2019-06-17 | 2019-09-13 | 长沙而道新能源科技有限公司 | New energy power station progress control method based on cloud monitoring and Data Encryption Transmission |
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| CN113467404A (en) * | 2021-07-27 | 2021-10-01 | 中国电子信息产业集团有限公司第六研究所 | Thermal power plant intelligent cloud control system and method based on safe and credible wireless communication |
| CN113746132A (en) * | 2021-08-11 | 2021-12-03 | 国网江苏省电力有限公司 | Photovoltaic power station based on cloud edge cooperation and control method thereof |
| CN113746132B (en) * | 2021-08-11 | 2024-01-30 | 国网江苏省电力有限公司 | Photovoltaic power station based on cloud edge cooperation and control method thereof |
| CN114461004A (en) * | 2021-12-24 | 2022-05-10 | 华能吉林发电有限公司 | Maximum power tracking control method and device of photovoltaic power generation system |
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