CN111884585B - Photovoltaic power generation intelligent energy storage system - Google Patents

Photovoltaic power generation intelligent energy storage system Download PDF

Info

Publication number
CN111884585B
CN111884585B CN202010697521.2A CN202010697521A CN111884585B CN 111884585 B CN111884585 B CN 111884585B CN 202010697521 A CN202010697521 A CN 202010697521A CN 111884585 B CN111884585 B CN 111884585B
Authority
CN
China
Prior art keywords
energy storage
data
monitoring
conversion
line
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010697521.2A
Other languages
Chinese (zh)
Other versions
CN111884585A (en
Inventor
郭子健
商金来
郑熙
汪博
闫立君
陈家良
刘洋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Kubo Energy Co.,Ltd.
Original Assignee
Shenzhen Kubo Energy Science & Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen Kubo Energy Science & Technology Co ltd filed Critical Shenzhen Kubo Energy Science & Technology Co ltd
Priority to CN202010697521.2A priority Critical patent/CN111884585B/en
Publication of CN111884585A publication Critical patent/CN111884585A/en
Application granted granted Critical
Publication of CN111884585B publication Critical patent/CN111884585B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30Electrical components
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/30Electrical components
    • H02S40/38Energy storage means, e.g. batteries, structurally associated with PV modules
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

Landscapes

  • Photovoltaic Devices (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a photovoltaic power generation intelligent energy storage system. The optical energy storage electronic system comprises: for converting solar energy into electrical energy; the power generation monitoring subsystem: the system is used for monitoring the process of solar energy conversion and outputting monitoring data; the monitoring data comprises conversion data, line data, state data and energy storage data; the dynamic regulation subsystem: the monitoring device is used for generating a state report according to the monitoring data and periodically generating a line regulation and control instruction and an energy storage control instruction according to the state report; the circuit control subsystem: the process transmission line and the energy storage transmission line are used for regulating and controlling the solar energy conversion according to the line regulating and controlling instruction; an energy storage subsystem: and the energy storage device is used for allocating energy storage equipment to be butted with the energy storage transmission line according to the energy storage control instruction.

Description

Photovoltaic power generation intelligent energy storage system
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to an intelligent energy storage system for photovoltaic power generation.
Background
With the continuous development and progress of human beings, the consumption of electric energy is increased; at present, 70% of electric energy supply in China still depends on thermal power generation, and the thermal power generation not only consumes a large amount of resources such as coal and the like, but also causes a large amount of pollution to the environment; therefore, new energy technology is developed to overcome the defects; the current developed relatively mature new energy technology mainly comprises photovoltaic power generation, namely, photovoltaic effect of a semiconductor interface is utilized to directly convert light energy into electric energy; with the widespread use of photovoltaic power generation technology, monitoring of the operating conditions of photovoltaic power generation is necessary.
Therefore, an intelligent energy storage system for photovoltaic power generation is urgently needed.
Disclosure of Invention
The invention provides an intelligent energy storage system for photovoltaic power generation, which is used for solving the problems that thermal power generation not only consumes a large amount of resources such as coal, but also causes a large amount of pollution to the environment.
The utility model provides a photovoltaic power generation intelligence energy storage system which characterized in that includes:
the photovoltaic power generation subsystem: for converting solar energy into electrical energy;
the power generation monitoring subsystem: the system is used for monitoring the process of solar energy conversion and outputting monitoring data; wherein the content of the first and second substances,
the monitoring data comprises conversion data, line data, state data and energy storage data;
the dynamic regulation subsystem: the monitoring device is used for generating a state report according to the monitoring data and periodically generating a line regulation and control instruction and an energy storage control instruction according to the state report;
the circuit control subsystem: the process transmission line and the energy storage transmission line are used for regulating and controlling the solar energy conversion according to the line regulating and controlling instruction;
an energy storage subsystem: and the energy storage device is used for allocating energy storage equipment to be butted with the energy storage transmission line according to the energy storage control instruction.
As an embodiment of the present invention, the photovoltaic power generation subsystem includes:
a photosensitive module: the device is used for sensing the illumination angle;
an efficiency control module: the device is used for setting the upper and lower limit ranges of the photoelectric conversion, judging whether the real-time efficiency of the photoelectric conversion is within the upper and lower limit ranges according to the upper and lower limit ranges and the upper and lower limit ranges, and outputting a judgment result; wherein the content of the first and second substances,
the upper and lower limit ranges are determined by the following steps:
step 1: acquiring historical weather types, determining electric energy conversion data under different weather types, and respectively determining electric energy conversion mean values under different weather types according to the electric energy conversion data;
step 2: dividing the electric energy conversion data which are higher than the electric energy conversion mean value under the same weather type into a first electric energy conversion range, and dividing the electric energy conversion data which are lower than the electric energy conversion mean value under the same weather type into a second electric energy conversion range by taking the electric energy conversion mean value under the same weather type as a boundary;
and step 3: determining the measurement error under the same weather type according to the electric energy conversion mean value and the electric energy conversion data under the same weather type;
Figure BDA0002591766190000021
wherein, the W is the measurement error under the same weather type; the N represents the number of samples of the electric energy conversion data under the same weather type; said xiRepresenting the ith electric energy conversion data under the same weather type; x represents the average value of electric energy conversion under the same weather type;
and 4, step 4: determining the upper and lower limit ranges of the electric energy conversion data under the same weather type according to the measurement error; wherein the content of the first and second substances,
the upper and lower limits are
Figure BDA0002591766190000031
The above-mentioned
Figure BDA0002591766190000032
The upper limit value of the electric energy conversion data under the same weather type,
Figure BDA0002591766190000033
is on the same dayA lower limit value of the electric energy conversion data under the gas type;
and 5: repeating the step 2, the step 3 and the step 4 according to the historical weather types, and determining the upper and lower limit ranges of the electric energy conversion data under each weather type;
conversion efficiency optimization module: the comparison meter is used for importing the judgment result into a preset solar panel sun-facing-weather type-electric energy conversion data upper and lower limit range comparison meter, and adjusting the angle of the solar panel;
a conversion module: for performing solar energy conversion in accordance with the dynamic change of the angle of the solar panel.
As an embodiment of the present invention, the photovoltaic power generation subsystem further includes:
electric quantity calculating module: when the device is used for solar energy conversion, the electric energy conversion efficiency is determined, and the converted electric quantity is predicted according to a preset time rule;
a conversion control module: the solar energy conversion system is used for adjusting the connection and disconnection of the solar panel according to the energy storage capacity of the preset energy storage equipment and the predicted converted electric quantity so as to control the electric energy conversion rate;
weather type divides module: the weather type determination method is used for generating a spectrogram through a preset solar radiation spectrometer, determining the wavelength of visible light according to the spectrogram and dividing the weather type according to the wavelength of the visible light.
As an embodiment of the present invention, the power generation monitoring subsystem includes:
a conversion monitoring module: the device is used for detecting the current and the voltage on the power transmission line and determining conversion data according to the wire material, the wire length and the wire harness specification of the wire;
a circuit module: line data for distinguishing the transmission line and the silent line according to a conductive state of the line;
a state module: the power transmission line voltage and current detection circuit is used for judging whether the current and the voltage on the power transmission line are within a preset current range and a preset voltage range or not and determining whether the power transmission line is abnormal or not;
an energy storage module: and the circuit is used for calculating the converted electric quantity according to the conversion data and the line data and determining the energy storage electric quantity according to the electric quantity.
As an embodiment of the present invention, the power generation monitoring subsystem further comprises:
the state pushing module: the system comprises a network side server, a terminal device and a data processing device, wherein the network side server is used for inquiring monitoring data every set time period, converting the monitoring data into visual data and sending the visual data to the terminal device;
a monitoring node module: the monitoring node is used for constructing a distributed monitoring system and determining the monitoring data based on the distributed monitoring system;
a virtual marking module: and the virtual distribution model is used for establishing the monitoring node through the network side server, setting a monitoring response in the virtual distribution model, and positioning monitoring data according to the detection response.
As an embodiment of the present invention, the power generation monitoring subsystem further comprises:
the system monitoring module is used for acquiring the running state information of the photovoltaic power generation subsystem, the power generation monitoring subsystem, the dynamic regulation and control subsystem, the line control subsystem and the energy storage subsystem;
the environment monitoring module is used for acquiring working environment information of the photovoltaic power generation subsystem;
the wireless communication module is used for receiving the monitoring data and transmitting the monitoring data to the analysis processing module and the analysis processing module;
the analysis processing module is used for acquiring maintenance information of the photovoltaic power generation subsystem according to the monitoring data and generating a monitoring log according to the monitoring data for storage;
and the storage unit is also used for acquiring current time information and storing the monitoring data, the maintenance information and the current time information in the same file storage area.
As an embodiment of the present invention, the dynamic regulation subsystem includes:
a state model module: the monitoring data is used for generating a state model; wherein the content of the first and second substances,
the state model comprises a conversion model, a line regulation model, a state model and an energy storage model;
a reporting module: the system is used for constructing an index directory based on a binary tree structure and generating the status report according to the index directory; wherein the content of the first and second substances,
the index directory at least comprises a first-level directory, a second-level directory and a third-level directory; wherein the content of the first and second substances,
the first-level directory is a photovoltaic energy storage directory;
the secondary directory comprises a conversion directory, a line directory, a state directory and an energy storage directory;
the tertiary directory at least comprises:
current, voltage, solar panel usage and conversion time under the conversion catalog;
line arrangement, number of running lines and line efficiency under a line directory;
an overcurrent state, an overvoltage state, an operation state and a power-off state under the state directory;
energy storage capacity and energy storage equipment under an energy storage directory;
an instruction generation module: and the system is used for calling a line regulation and control instruction and an energy storage control instruction from a preset regulation and control instruction library according to the state report.
As an embodiment of the present invention, the state model module generates the state model by the steps of:
step S1: generating a conversion model A according to the conversion data;
Figure BDA0002591766190000051
wherein, the UtAn output voltage representing a t-th period; said ItRepresents the output current of the t-th period; m represents the number of time periods; the T represents a period time; said XtThe number of lines for transmitting the electric quantity in the t-th time period is represented; t is 1,2,3, … … m;
step S2: generating a line model B according to the line data;
Figure BDA0002591766190000052
wherein, X istNumber of lines representing transmission of t-th period, gtjLine parameters representing the jth line in the tth period; j ═ 1,2,3, … … l;
step S3: generating a state model C according to the state data;
Figure BDA0002591766190000061
wherein, the J istkNode parameters representing a kth monitoring node in a t-th time period; the above-mentioned
Figure BDA0002591766190000066
Representing the input power of the kth monitoring node in the t period; the above-mentioned
Figure BDA0002591766190000065
Representing the input power of the energy storage subsystem in the t period; the above-mentioned
Figure BDA0002591766190000062
Representing the output power of the kth monitoring node in the t period; the above-mentioned
Figure BDA0002591766190000063
Representing the output power of the energy storage subsystem in the t period; k is 1,2,3, … … p;
step S4: generating an energy storage model D according to the energy storage data;
Figure BDA0002591766190000064
wherein, the VtyRepresenting the energy storage capacity of the y energy storage device in the t period; said EtRepresenting the quantity of the energy storage devices called in the t-th period; y is 1,2,3, … … v;
and 5: adding the conversion model, the line regulation model, the state model and the energy storage model to determine a state model H:
H=A+B+C+D;
step 6: substituting the monitoring data into the state model, and determining the system state based on the combined arrangement; wherein the content of the first and second substances,
when the H is 2, the state is normal; when the H is more than 4, the states are abnormal; when the 2 < H < 4, representing that the line and the stored energy are abnormal; and when the H is less than 2, indicating that the state or the conversion is abnormal.
As an embodiment of the present invention, the line control subsystem includes:
the circuit self-checking module: the device is used for sequentially passing the electric energy through the transmission line when the solar energy is converted, and judging whether the transmission line is smooth;
a line regulation and control module: the circuit is used for receiving a circuit regulation and control instruction, acquiring instruction information and controlling the on-off of a transmission line according to the instruction information;
a line connection module: and the energy storage device is used for selecting a transmission port to connect the energy storage device according to a connection protocol during line transmission.
As an embodiment of the present invention, the energy storage subsystem includes:
an equipment regulation and control module: and the energy storage device is used for judging whether the energy storage device meets the energy storage requirement of the corresponding time section or not according to the device state and the device capacity, and adjusting the energy storage device meeting the energy storage requirement to link the transmission line.
A capacity control module: and the energy storage device is used for outputting the capacity information and controlling the energy storage device to be linked with the transmission line according to the energy storage control instruction.
Has the advantages that: the photovoltaic power generation subsystem is used for receiving solar energy and converting the received solar energy into electric energy for storage, so that the photovoltaic power generation function of the system is realized; the real-time monitoring of the working condition of the photovoltaic power generation system is realized through the power generation monitoring subsystem; the state of maintenance information of the photovoltaic power generation system is obtained according to the working condition information through the dynamic regulation and control subsystem, and a regulation and control instruction is output so as to optimize conversion efficiency and reduce conversion loss; the working condition information and the maintenance information are transmitted to the user terminal and displayed to the staff, so that the real-time monitoring of the working condition of the photovoltaic power generation system by the staff is realized, the maintenance information of the photovoltaic power generation subsystem corresponding to the working condition information is transmitted to the staff, and the staff can conveniently and timely maintain and check the photovoltaic power generation system according to the maintenance information; the line control subsystem and the energy storage subsystem reduce loss through control over the transmission line and control over the energy storage device, connect the energy storage device with the transmission line more quickly, and enable the transmission line or the energy storage device to be easily positioned when abnormal.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a system composition diagram of an intelligent energy storage system for photovoltaic power generation according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
An embodiment of the present invention provides an intelligent energy storage system for photovoltaic power generation, as shown in fig. 1, including an intelligent energy storage system for photovoltaic power generation, including:
the photovoltaic power generation subsystem: for converting solar energy into electrical energy; the solar panel comprises a solar panel, and the solar panel is displayed in an array form or an individual form according to actual requirements.
The power generation monitoring subsystem: the system is used for monitoring the process of solar energy conversion and outputting monitoring data; wherein
The monitoring data comprises conversion data, line data, state data and energy storage data; used for monitoring the working condition of the photovoltaic power generation system, acquiring the working condition information of the photovoltaic power generation subsystem, used for monitoring the working condition of the photovoltaic power generation system, acquiring the process information of the working condition of the photovoltaic power generation subsystem,
the dynamic regulation subsystem: the monitoring device is used for generating a state report according to the monitoring data and periodically generating a line regulation and control instruction and an energy storage control instruction according to the state report; and outputting a control command according to the monitoring command. The status report can be extracted at any time, so that the monitoring data is visualized. Controlling instructions, for example, when the weather is good, the solar energy is sufficient and the electric quantity conversion rate is high, controlling most or all circuits to transmit electric energy; when the weather is bad, the solar energy is low, and the electric quantity conversion rate is low, the control part of circuits carry out electric energy transmission; and the electric energy loss is reduced.
The circuit control subsystem: the process transmission line and the energy storage transmission line are used for regulating and controlling the solar energy conversion according to the line regulating and controlling instruction; and controlling the corresponding line and energy storage device link. The method also comprises controlling a plurality of lines to connect one energy storage device.
An energy storage subsystem: and the energy storage device is used for allocating energy storage equipment to be butted with the energy storage transmission line according to the energy storage control instruction.
The beneficial effect of above-mentioned system lies in: the photovoltaic power generation subsystem is used for receiving solar energy and converting the received solar energy into electric energy for storage, so that the photovoltaic power generation function of the system is realized; the real-time monitoring of the working condition of the photovoltaic power generation system is realized through the power generation monitoring subsystem; the state of maintenance information of the photovoltaic power generation system is obtained according to the working condition information through the dynamic regulation and control subsystem, and a regulation and control instruction is output so as to optimize conversion efficiency and reduce conversion loss; the working condition information and the maintenance information are transmitted to the user terminal and displayed to the staff, so that the real-time monitoring of the working condition of the photovoltaic power generation system by the staff is realized, the maintenance information of the photovoltaic power generation subsystem corresponding to the working condition information is transmitted to the staff, and the staff can conveniently and timely maintain and check the photovoltaic power generation system according to the maintenance information; the line control subsystem and the energy storage subsystem reduce loss through control over the transmission line and control over the energy storage device, connect the energy storage device with the transmission line more quickly, and enable the transmission line or the energy storage device to be easily positioned when abnormal.
As an embodiment of the present invention, the photovoltaic power generation subsystem includes:
a photosensitive module: the device is used for sensing the illumination angle; and the light radiation angle is obtained, and the solar panel is adjusted to achieve the maximum solar utilization efficiency.
An efficiency control module: the device is used for setting the upper and lower limit ranges of the photoelectric conversion, judging whether the real-time efficiency of the photoelectric conversion is within the upper and lower limit ranges according to the upper and lower limit ranges and the upper and lower limit ranges, and outputting a judgment result; wherein the content of the first and second substances,
the upper and lower limit ranges are determined by the following steps:
step 1: acquiring historical weather types, determining electric energy conversion data under different weather types, and respectively determining electric energy conversion mean values under different weather types according to the electric energy conversion data;
step 2: dividing the electric energy conversion data which are higher than the electric energy conversion mean value under the same weather type into a first electric energy conversion range, and dividing the electric energy conversion data which are lower than the electric energy conversion mean value under the same weather type into a second electric energy conversion range by taking the electric energy conversion mean value under the same weather type as a boundary;
and step 3: determining the measurement error under the same weather type according to the electric energy conversion mean value and the electric energy conversion data under the same weather type;
Figure BDA0002591766190000101
wherein, the W is the measurement error under the same weather type; the N represents the number of samples of the electric energy conversion data under the same weather type; said xiRepresenting the ith electric energy conversion data under the same weather type; the above-mentioned
Figure BDA0002591766190000105
Representing the average value of electric energy conversion under the same weather type;
and 4, step 4: determining the upper and lower limit ranges of the electric energy conversion data under the same weather type according to the measurement error; wherein the content of the first and second substances,
the upper and lower limits are
Figure BDA0002591766190000102
The above-mentioned
Figure BDA0002591766190000103
The upper limit value of the electric energy conversion data under the same weather type,
Figure BDA0002591766190000104
the lower limit value of the electric energy conversion data under the same weather type;
and 5: repeating the step 2, the step 3 and the step 4 according to the historical weather types, and determining the upper and lower limit ranges of the electric energy conversion data under each weather type;
the efficiency and range of the photoelectric conversion are determined, so that the conversion efficiency can be adjusted, and whether the process of the photoelectric conversion is abnormal or not can be easily judged.
Conversion efficiency optimization module: the comparison meter is used for importing the judgment result into a preset solar panel sun-facing-weather type-electric energy conversion data upper and lower limit range comparison meter, and adjusting the angle of the solar panel; the conversion efficiency is optimized, and the conversion of solar energy is improved.
A conversion module: for performing solar energy conversion in accordance with the dynamic change of the angle of the solar panel.
The beneficial effects of the above technical scheme are that: adjust solar panel, reach the biggest solar energy utilization efficiency. The efficiency and range of the photoelectric conversion are determined, so that the conversion efficiency can be adjusted, and whether the process of the photoelectric conversion is abnormal or not can be easily judged.
As an embodiment of the present invention, the photovoltaic power generation subsystem further includes:
electric quantity calculating module: when the device is used for solar energy conversion, the electric energy conversion efficiency is determined, and the converted electric quantity is predicted according to a preset time rule; after the electric quantity is determined, the capacity of the energy storage device can be determined; therefore, the energy storage space of the energy storage device is prevented from being wasted by selecting the energy storage device corresponding to the electric quantity to store the electric quantity.
A conversion control module: the solar energy conversion system is used for adjusting the connection and disconnection of the solar panel according to the energy storage capacity of the preset energy storage equipment and the predicted converted electric quantity so as to control the electric energy conversion rate; the insufficient energy storage capacity of the energy storage equipment is that the electric quantity conversion efficiency is reduced according to the connection and disconnection of the solar panel, and the electric energy is prevented from having no storage space and causing overcurrent and overvoltage.
Weather type divides module: the weather type determination method is used for generating a spectrogram through a preset solar radiation spectrometer, determining the wavelength of visible light according to the spectrogram and dividing the weather type according to the wavelength of the visible light. The weather is divided according to the wavelength, and the weather is classified more accurately, so that the conversion efficiency range of the electric energy conversion can be controlled more urgently and accurately.
The beneficial effects of the above technical scheme are that: the energy storage space of the energy storage device is prevented from being wasted by selecting the energy storage device corresponding to the electric quantity to store the electric quantity. According to solar panel's connection and disconnection, reduce electric quantity conversion efficiency, prevent that the electric energy does not have storage space, cause and overflow and excessive pressure. The weather is divided according to the wavelength, and the weather is classified more accurately, so that the conversion efficiency range of the electric energy conversion can be controlled more accurately.
As an embodiment of the present invention, the power generation monitoring subsystem includes:
a conversion monitoring module: the device is used for detecting the current and the voltage on the power transmission line and determining conversion data according to the wire material, the wire length and the wire harness specification of the wire; real-time data are monitored based on the material of the wire and the implementation current and voltage.
A circuit module: line data for distinguishing the transmission line and the silent line according to a conductive state of the line; the transmission line represents a line with electric power transmission, and the silent line is a line without electric power transmission.
A state module: the power transmission line voltage and current detection circuit is used for judging whether the current and the voltage on the power transmission line are within a preset current range and a preset voltage range or not and determining whether the power transmission line is abnormal or not; and judging the electric energy state on the electric transmission line to prevent the circuit from being abnormal.
An energy storage module: and the circuit is used for calculating the converted electric quantity according to the conversion data and the line data and determining the energy storage electric quantity according to the electric quantity. The energy storage device can be regulated and controlled by determining the electric quantity in advance.
The beneficial effects of the above technical scheme are that: based on the material of the wire and the implementation current and voltage, real-time data are monitored, and the data are more accurate. And the electric energy state on the power transmission line is broken, so that the circuit abnormality is prevented. The energy storage device can be regulated and controlled by determining the electric quantity in advance. The state of the transmission line is determined, so that line regulation and control are more accurately carried out.
As an embodiment of the present invention, the power generation monitoring subsystem further comprises:
the state pushing module: the system comprises a network side server, a terminal device and a data processing device, wherein the network side server is used for inquiring monitoring data every set time period, converting the monitoring data into visual data and sending the visual data to the terminal device;
the monitoring data are pushed to managers, operation and maintenance personnel or content publicity through visual data, so that the pure state and the conversion state can be effectively displayed, and line faults can be found.
A monitoring node module: the monitoring node is used for constructing a distributed monitoring system and determining the monitoring data based on the distributed monitoring system; the sub-nodes are used for detecting, and abnormal points or fault points can be better positioned. And by distributed division, the detection can be more reasonable, and the detection efficiency is improved.
A virtual marking module: and the virtual distribution model is used for establishing the monitoring node through the network side server, setting a monitoring response in the virtual distribution model, and positioning monitoring data according to the detection response. The method is used for constructing a virtual distribution model and carrying out response marking, and can realize accurate positioning by responding to the prominent fault point during detection or maintenance.
The beneficial effects of the above technical scheme are that: the monitoring data are pushed to managers, operation and maintenance personnel or content publicity through visual data, so that the pure state and the conversion state can be effectively displayed, and line faults can be found. The detection is more reasonable, and the detection efficiency is improved. And when in detection or maintenance, the accurate positioning and bidding quick maintenance can be realized by responding to the highlighted fault point, so that the loss is reduced.
As an embodiment of the present invention, the power generation monitoring subsystem further comprises:
the system monitoring module is used for acquiring the running state information of the photovoltaic power generation subsystem, the power generation monitoring subsystem, the dynamic regulation and control subsystem, the line control subsystem and the energy storage subsystem;
the environment monitoring module is used for acquiring working environment information of the photovoltaic power generation subsystem;
the wireless communication module is used for receiving the monitoring data and transmitting the monitoring data to the analysis processing module and the analysis processing module;
the analysis processing module is used for acquiring maintenance information of the photovoltaic power generation subsystem according to the monitoring data and generating a monitoring log according to the monitoring data for storage;
and the storage unit is also used for acquiring current time information and storing the monitoring data, the maintenance information and the current time information in the same file storage area.
In the technical scheme, the wireless communication unit receives the working condition information transmitted by the monitoring module and transmits the working condition information to the analysis processing unit, so that the maintenance information corresponding to the working condition information is acquired through the analysis processing unit; the storage of the acquired working condition information, maintenance information and current time information by the network side server is realized through the storage unit; and the analysis processing module also transmits the working condition information, the maintenance information and the current time information to the user terminal through the wireless communication unit, so that the working condition information and the maintenance information of the photovoltaic power generation system can be monitored by workers in real time.
As an embodiment of the present invention, the dynamic regulation subsystem includes:
a state model module: the monitoring data is used for generating a state model; wherein the content of the first and second substances,
the state model comprises a conversion model, a line regulation model, a state model and an energy storage model; through the datamation of the faults or the exceptions of the model fusion, more accurate dynamic instruction output is realized.
A reporting module: the system is used for constructing an index directory based on a binary tree structure and generating the status report according to the index directory; wherein the content of the first and second substances,
the index directory at least comprises a first-level directory, a second-level directory and a third-level directory; wherein the content of the first and second substances,
the first-level directory is a photovoltaic energy storage directory;
the secondary directory comprises a conversion directory, a line directory, a state directory and an energy storage directory;
the tertiary directory at least comprises:
current, voltage, solar panel usage and conversion time under the conversion catalog;
line arrangement, number of running lines and line efficiency under a line directory;
an overcurrent state, an overvoltage state, an operation state and a power-off state under the state directory;
energy storage capacity and energy storage equipment under an energy storage directory;
through directory indexing, the relationship among directories of different levels is determined more quickly, so that a fault processing scheme is considered more comprehensively and integrally in case of a fault, and a more reasonable status report can be output.
An instruction generation module: and the system is used for calling a line regulation and control instruction and an energy storage control instruction from a preset regulation and control instruction library according to the state report.
The beneficial effects of the above technical scheme are that: through the datamation of the faults or the exceptions of the model fusion, more accurate dynamic instruction output is realized. And a more comprehensive and overall fault processing scheme is considered, and a more reasonable state report can be output.
As an embodiment of the present invention, the state model module generates the state model by the steps of:
step S1: generating a conversion model A according to the conversion data;
Figure BDA0002591766190000151
wherein, the UtAn output voltage representing a t-th period; said ItRepresents the output current of the t-th period; m represents the number of time periods; the T represents a period time; said XtThe number of lines for transmitting the electric quantity in the t-th time period is represented; t is 1,2,3, … … m;
step S2: generating a line model B according to the line data;
Figure BDA0002591766190000152
wherein, X istNumber of lines representing transmission of t-th period, gtjLine parameters representing the jth line in the tth period; j ═ 1,2,3, … … l;
step S3: generating a state model C according to the state data;
Figure BDA0002591766190000153
wherein, the J istkNode parameters representing a kth monitoring node in a t-th time period; the above-mentioned
Figure BDA0002591766190000154
Representing the input power of the kth monitoring node in the t period; the above-mentioned
Figure BDA0002591766190000155
Representing the input power of the energy storage subsystem in the t period; the above-mentioned
Figure BDA0002591766190000161
Representing the output power of the kth monitoring node in the t period; the above-mentioned
Figure BDA0002591766190000162
Representing the output power of the energy storage subsystem in the t period; k is 1,2,3, … … p;
step S4: generating an energy storage model D according to the energy storage data;
Figure BDA0002591766190000163
wherein, the VtyRepresenting the energy storage capacity of the y energy storage device in the t period; said EtRepresenting the quantity of the energy storage devices called in the t-th period; y is 1,2,3, … … v;
and 5: adding the conversion model, the line regulation model, the state model and the energy storage model to determine a state model H:
H=A+B+C+D;
step 6: substituting the monitoring data into the state model, and determining the system state based on the combined arrangement; wherein the content of the first and second substances,
when the H is 2, the state is normal; when the H is more than 4, the states are abnormal; when the 2 < H < 4, representing that the line and the stored energy are abnormal; and when the H is less than 2, indicating that the state or the conversion is abnormal.
The principle and the beneficial effects of the technical scheme are as follows: in the step of generating the state model, the present invention determines the conversion model by substituting the output voltage and the output current according to the conversion data. Generating a line model according to line data in circuit transmission, namely the line number and line parameters of a line; based on the node parameters of each monitoring node in the circuit, namely: and determining the node state of the monitoring node and constructing a state model by using the input power and the corresponding output power of the node. In the aspect of energy storage, the energy storage model, namely the regulation and control state model of energy storage is determined according to the energy storage capacity of the energy storage equipment and the number of the energy storage equipment called in the corresponding time period, and the final system state is determined based on the optimal combination and arrangement of the state models.
As an embodiment of the present invention, the line control subsystem includes:
the circuit self-checking module: the device is used for sequentially passing the electric energy through the transmission line when the solar energy is converted, and judging whether the transmission line is smooth; the method is used for line self-checking, and whether the line has a fault or not is judged in advance.
A line regulation and control module: the circuit is used for receiving a circuit regulation and control instruction, acquiring instruction information and controlling the on-off of a transmission line according to the instruction information; and controlling the on-off of the line and controlling and adjusting the real line.
A line connection module: and the energy storage device is used for selecting a transmission port to connect the energy storage device according to a connection protocol during line transmission. And the transmission line connection is carried out through a protocol, so that the data security is ensured.
The beneficial effects of the above technical scheme are that: whether the line has a fault or not can be judged in advance through self-checking of the line, and control and adjustment of the line are realized based on instruction control. And finally, when the line is in transmission connection, the safety of the data is determined according to various connection protocols in the connection.
As an embodiment of the present invention, the energy storage subsystem includes:
an equipment regulation and control module: and the energy storage device is used for judging whether the energy storage device meets the energy storage requirement of the corresponding time section or not according to the device state and the device capacity, and adjusting the energy storage device meeting the energy storage requirement to link the transmission line. The capacity of the energy storage equipment is matched with the equipment state, the energy storage efficiency is improved, and the energy storage space loss of the electric energy capacity is prevented.
A capacity control module: and the energy storage device is used for outputting the capacity information and controlling the energy storage device to be linked with the transmission line according to the energy storage control instruction. Energy storage equipment and a transmission line are adjusted according to the capacity, and the energy storage efficiency of electric energy is improved.
The beneficial effects of the above technical scheme are that: the capacity and the equipment state phase-match of energy storage equipment improve energy storage efficiency, prevent the energy storage space loss of electric energy capacity, with energy storage equipment and energy storage circuit one-to-one, and then improve the efficiency of energy storage.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (9)

1. The utility model provides a photovoltaic power generation intelligence energy storage system which characterized in that includes:
the photovoltaic power generation subsystem: for converting solar energy into electrical energy;
the power generation monitoring subsystem: the system is used for monitoring the process of solar energy conversion and outputting monitoring data; wherein
The monitoring data comprises conversion data, line data, state data and energy storage data;
the dynamic regulation subsystem: the monitoring device is used for generating a state report according to the monitoring data and periodically generating a line regulation and control instruction and an energy storage control instruction according to the state report;
the circuit control subsystem: the process transmission line and the energy storage transmission line are used for regulating and controlling the solar energy conversion according to the line regulating and controlling instruction;
an energy storage subsystem: the energy storage device is used for allocating energy storage equipment to be in butt joint with the energy storage transmission line according to the energy storage control instruction;
the photovoltaic power generation subsystem includes:
a photosensitive module: the device is used for sensing the illumination angle;
an efficiency control module: the device is used for setting upper and lower limit ranges of photoelectric conversion, judging whether the real-time efficiency of the photoelectric conversion is within the upper and lower limit ranges according to the upper and lower limit ranges, and outputting a judgment result; wherein the content of the first and second substances,
the upper and lower limit ranges are determined by the following steps:
step 1: acquiring historical weather types, determining electric energy conversion data under different weather types, and respectively determining electric energy conversion mean values under different weather types according to the electric energy conversion data;
step 2: dividing the electric energy conversion data which are higher than the electric energy conversion mean value under the same weather type into a first electric energy conversion range, and dividing the electric energy conversion data which are lower than the electric energy conversion mean value under the same weather type into a second electric energy conversion range by taking the electric energy conversion mean value under the same weather type as a boundary;
and step 3: determining the measurement error under the same weather type according to the electric energy conversion mean value and the electric energy conversion data under the same weather type;
Figure DEST_PATH_IMAGE001
wherein, the
Figure 32194DEST_PATH_IMAGE002
Indicating measurement errors under the same weather type; the above-mentioned
Figure 787661DEST_PATH_IMAGE003
The number of samples representing the power conversion data under the same weather type; the above-mentioned
Figure 114737DEST_PATH_IMAGE004
Indicating the same weather type
Figure 664667DEST_PATH_IMAGE005
Individual power conversion data; the above-mentioned
Figure 359084DEST_PATH_IMAGE006
Representing the average value of electric energy conversion under the same weather type;
and 4, step 4: determining the upper and lower limit ranges of the electric energy conversion data under the same weather type according to the measurement error; wherein the content of the first and second substances,
the upper and lower limits are
Figure 652663DEST_PATH_IMAGE007
~
Figure 99824DEST_PATH_IMAGE008
The above-mentioned
Figure 555076DEST_PATH_IMAGE007
The upper limit value of the electric energy conversion data under the same weather type,
Figure 720479DEST_PATH_IMAGE008
the lower limit value of the electric energy conversion data under the same weather type;
and 5: repeating the step 2, the step 3 and the step 4 according to the historical weather types, and determining the upper and lower limit ranges of the electric energy conversion data under each weather type;
conversion efficiency optimization module: the trilateral corresponding table is used for importing the judgment result into a preset solar panel sun facing angle, a preset weather type and a preset upper and lower limit range of electric energy conversion data, and adjusting the angle of the solar panel;
a conversion module: for performing solar energy conversion in accordance with the dynamic change of the angle of the solar panel.
2. The intelligent energy storage system for photovoltaic power generation according to claim 1, wherein the photovoltaic power generation subsystem further comprises:
electric quantity calculating module: when the device is used for solar energy conversion, the electric energy conversion efficiency is determined, and the converted electric quantity is predicted according to a preset time rule;
a conversion control module: the solar energy conversion system is used for adjusting the connection and disconnection of the solar panel according to the energy storage capacity of the preset energy storage equipment and the predicted converted electric quantity so as to control the electric energy conversion rate;
weather type divides module: the weather type determination method is used for generating a spectrogram through a preset solar radiation spectrometer, determining the wavelength of visible light according to the spectrogram and dividing the weather type according to the wavelength of the visible light.
3. The intelligent energy storage system for photovoltaic power generation according to claim 1, wherein the power generation monitoring subsystem comprises:
a conversion monitoring module: the device is used for detecting the current and the voltage on the power transmission line and determining conversion data according to the wire material, the wire length and the wire harness specification of the wire;
a circuit module: line data for distinguishing the transmission line and the silent line according to a conductive state of the line;
a state module: the power transmission line voltage and current detection circuit is used for judging whether the current and the voltage on the power transmission line are within a preset current range and a preset voltage range or not and determining whether the power transmission line is abnormal or not;
an energy storage module: and the circuit is used for calculating the converted electric quantity according to the conversion data and the line data and determining the energy storage electric quantity according to the electric quantity.
4. The intelligent energy storage system for photovoltaic power generation according to claim 1, wherein the power generation monitoring subsystem further comprises:
the state pushing module: the system comprises a network side server, a terminal device and a data processing device, wherein the network side server is used for inquiring monitoring data every set time period, converting the monitoring data into visual data and sending the visual data to the terminal device;
a monitoring node module: the monitoring node is used for constructing a distributed monitoring system and determining the monitoring data based on the distributed monitoring system;
a virtual marking module: and the virtual distribution model is used for constructing the monitoring nodes through the network side server, setting monitoring responses in the virtual distribution model, and positioning monitoring data according to the monitoring responses.
5. The intelligent energy storage system for photovoltaic power generation according to claim 1, wherein the power generation monitoring subsystem further comprises:
the system monitoring module is used for acquiring the running state information of the photovoltaic power generation subsystem, the power generation monitoring subsystem, the dynamic regulation and control subsystem, the line control subsystem and the energy storage subsystem;
the environment monitoring module is used for acquiring working environment information of the photovoltaic power generation subsystem;
the wireless communication module is used for receiving the monitoring data and sending the monitoring data to the analysis processing module and the analysis processing module;
the analysis processing module is used for acquiring maintenance information of the photovoltaic power generation subsystem according to the monitoring data and generating a monitoring log according to the monitoring data for storage;
and the storage unit is also used for acquiring current time information and storing the monitoring data, the maintenance information and the current time information in the same file storage area.
6. The intelligent energy storage system for photovoltaic power generation according to claim 1, wherein the dynamic regulation subsystem comprises:
a state model module: the monitoring data is used for generating a state model; wherein the content of the first and second substances,
the state model comprises a conversion model, a line regulation model, a state model and an energy storage model;
a reporting module: the system is used for constructing an index directory based on a binary tree structure and generating the status report according to the index directory; wherein the content of the first and second substances,
the index directory at least comprises a first-level directory, a second-level directory and a third-level directory; wherein the content of the first and second substances,
the first-level directory is a photovoltaic energy storage directory;
the secondary directory comprises a conversion directory, a line directory, a state directory and an energy storage directory;
the tertiary directory at least comprises:
current, voltage, solar panel usage and conversion time under the conversion catalog;
line arrangement, number of operating lines and line efficiency under a line directory;
an overcurrent state, an overvoltage state, an operation state and a power-off state under the state directory;
energy storage capacity and energy storage equipment under an energy storage directory;
an instruction generation module: and the system is used for calling a line regulation and control instruction and an energy storage control instruction from a preset regulation and control instruction library according to the state report.
7. The intelligent energy storage system for photovoltaic power generation according to claim 6, wherein the state model module generates the state model by the steps comprising:
step S1: generating a conversion model from the conversion data
Figure 817748DEST_PATH_IMAGE009
Figure 384995DEST_PATH_IMAGE010
Wherein, the
Figure 761881DEST_PATH_IMAGE011
Is shown as
Figure 414579DEST_PATH_IMAGE012
An output voltage of the period; the above-mentioned
Figure 49960DEST_PATH_IMAGE013
Is shown as
Figure 206135DEST_PATH_IMAGE012
An output current of a time period; the above-mentioned
Figure 268769DEST_PATH_IMAGE014
Represents the number of time segments; the above-mentioned
Figure 408763DEST_PATH_IMAGE015
Represents a period time; the above-mentioned
Figure 847835DEST_PATH_IMAGE016
Is shown as
Figure 886546DEST_PATH_IMAGE012
The number of lines for transmitting electric quantity in a time interval;
Figure 385661DEST_PATH_IMAGE017
step S2: generating a line model from the line data
Figure 747372DEST_PATH_IMAGE018
Figure 724555DEST_PATH_IMAGE019
Wherein, the
Figure 855322DEST_PATH_IMAGE020
Is shown as
Figure 259759DEST_PATH_IMAGE012
Number of lines of transmission of a time period, the
Figure 108766DEST_PATH_IMAGE021
Is shown as
Figure 374794DEST_PATH_IMAGE012
In the first period
Figure 625646DEST_PATH_IMAGE022
Line parameters of the lines;
Figure 466563DEST_PATH_IMAGE023
step S3: generating a state model from the state data
Figure 802867DEST_PATH_IMAGE024
Figure 121853DEST_PATH_IMAGE025
Wherein, the
Figure 227212DEST_PATH_IMAGE026
Is shown as
Figure 973451DEST_PATH_IMAGE012
In the first period
Figure 547783DEST_PATH_IMAGE027
Node parameters of each monitoring node; the above-mentioned
Figure 670460DEST_PATH_IMAGE028
Is shown as
Figure 630325DEST_PATH_IMAGE012
In the first period
Figure 547466DEST_PATH_IMAGE027
Input power of each monitoring node; the above-mentioned
Figure 858362DEST_PATH_IMAGE029
Is shown as
Figure 784729DEST_PATH_IMAGE012
The input power of the time interval energy storage subsystem; the above-mentioned
Figure DEST_PATH_IMAGE030
Is shown as
Figure 615413DEST_PATH_IMAGE012
In the first period
Figure 969034DEST_PATH_IMAGE027
The output power of each monitoring node; the above-mentioned
Figure 501647DEST_PATH_IMAGE031
Is shown as
Figure 966126DEST_PATH_IMAGE012
The output power of the time interval energy storage subsystem;
Figure DEST_PATH_IMAGE032
step S4: generating an energy storage model according to the energy storage data
Figure 166163DEST_PATH_IMAGE033
Figure DEST_PATH_IMAGE034
Wherein, the
Figure 706997DEST_PATH_IMAGE035
Is shown as
Figure 726906DEST_PATH_IMAGE012
In the first period
Figure DEST_PATH_IMAGE036
The energy storage capacity of each energy storage device; the above-mentioned
Figure 995076DEST_PATH_IMAGE037
Is shown as
Figure 49620DEST_PATH_IMAGE012
The number of energy storage devices called in a time period;
Figure 745043DEST_PATH_IMAGE038
and 5: adding the conversion model, the line regulation model, the state model and the energy storage model to determine the state model
Figure 737401DEST_PATH_IMAGE039
Figure 543683DEST_PATH_IMAGE040
Step 6: substituting the monitoring data into the state model, and determining the system state based on the combined arrangement; wherein the content of the first and second substances,
when said
Figure 452733DEST_PATH_IMAGE041
When, the state is normal; when said
Figure 319058DEST_PATH_IMAGE042
When, all states are abnormal; when said
Figure 313559DEST_PATH_IMAGE043
When the fault occurs, the fault indicates that the line and the energy storage are abnormal; when said
Figure DEST_PATH_IMAGE044
Time, indicates a status or transition exception.
8. The intelligent energy storage system for photovoltaic power generation according to claim 1, wherein the line control subsystem comprises:
the circuit self-checking module: the device is used for sequentially passing the electric energy through the transmission line when the solar energy is converted, and judging whether the transmission line is smooth;
a line regulation and control module: the circuit is used for receiving a circuit regulation and control instruction, acquiring instruction information and controlling the on-off of a transmission line according to the instruction information;
a line connection module: and the energy storage device is used for selecting a transmission port to connect the energy storage device according to a connection protocol during line transmission.
9. The intelligent energy storage system for photovoltaic power generation according to claim 1, wherein the energy storage subsystem comprises:
an equipment regulation and control module: the energy storage equipment is used for judging whether the energy storage equipment meets the energy storage requirement of the corresponding time section or not according to the state and the capacity of the energy storage equipment, and adjusting the energy storage equipment meeting the energy storage requirement to link the transmission line;
a capacity control module: and the energy storage device is used for outputting the capacity information and controlling the energy storage device to be linked with the transmission line according to the energy storage control instruction.
CN202010697521.2A 2020-07-20 2020-07-20 Photovoltaic power generation intelligent energy storage system Active CN111884585B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010697521.2A CN111884585B (en) 2020-07-20 2020-07-20 Photovoltaic power generation intelligent energy storage system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010697521.2A CN111884585B (en) 2020-07-20 2020-07-20 Photovoltaic power generation intelligent energy storage system

Publications (2)

Publication Number Publication Date
CN111884585A CN111884585A (en) 2020-11-03
CN111884585B true CN111884585B (en) 2021-03-23

Family

ID=73154928

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010697521.2A Active CN111884585B (en) 2020-07-20 2020-07-20 Photovoltaic power generation intelligent energy storage system

Country Status (1)

Country Link
CN (1) CN111884585B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115864947A (en) * 2022-09-09 2023-03-28 浙江意法电器科技有限公司 Power generation device with detection function and thick film heater using power generation device
CN116667475B (en) * 2023-03-13 2024-05-07 深圳库博能源科技有限公司 Energy storage management system and method based on cloud computing
CN117559499B (en) * 2023-11-20 2024-04-12 广州菲利斯太阳能科技有限公司 Photovoltaic power generation intelligent energy storage system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205068052U (en) * 2015-09-23 2016-03-02 浙江工业职业技术学院 Solar -energy photovoltaic power generation device
CN105846780A (en) * 2016-03-19 2016-08-10 上海大学 Decision tree model-based photovoltaic assembly fault diagnosis method
CN106100579A (en) * 2016-06-07 2016-11-09 国电南瑞南京控制系统有限公司 A kind of photovoltaic plant method for diagnosing faults based on data analysis
CN106569089A (en) * 2016-10-11 2017-04-19 国网上海市电力公司 Power distribution line dynamic Information-based power distribution network fault monitoring method
CN207753457U (en) * 2018-01-30 2018-08-21 国网天津市电力公司 intelligent power grid management system
CN110061565A (en) * 2019-04-01 2019-07-26 国网新源张家口风光储示范电站有限公司 A kind of energy storage charge/discharge capacity control system and method based on wind-driven generator
CN110311412A (en) * 2019-07-23 2019-10-08 深圳供电局有限公司 A kind of distributed photovoltaic power generation energy storage management control system based on virtual plant
US20200098444A1 (en) * 2017-01-24 2020-03-26 Bao Tran Personalized beauty system
CN111010084A (en) * 2019-12-12 2020-04-14 山东中实易通集团有限公司 Photovoltaic power station intelligent monitoring analysis platform and method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205068052U (en) * 2015-09-23 2016-03-02 浙江工业职业技术学院 Solar -energy photovoltaic power generation device
CN105846780A (en) * 2016-03-19 2016-08-10 上海大学 Decision tree model-based photovoltaic assembly fault diagnosis method
CN106100579A (en) * 2016-06-07 2016-11-09 国电南瑞南京控制系统有限公司 A kind of photovoltaic plant method for diagnosing faults based on data analysis
CN106569089A (en) * 2016-10-11 2017-04-19 国网上海市电力公司 Power distribution line dynamic Information-based power distribution network fault monitoring method
US20200098444A1 (en) * 2017-01-24 2020-03-26 Bao Tran Personalized beauty system
CN207753457U (en) * 2018-01-30 2018-08-21 国网天津市电力公司 intelligent power grid management system
CN110061565A (en) * 2019-04-01 2019-07-26 国网新源张家口风光储示范电站有限公司 A kind of energy storage charge/discharge capacity control system and method based on wind-driven generator
CN110311412A (en) * 2019-07-23 2019-10-08 深圳供电局有限公司 A kind of distributed photovoltaic power generation energy storage management control system based on virtual plant
CN111010084A (en) * 2019-12-12 2020-04-14 山东中实易通集团有限公司 Photovoltaic power station intelligent monitoring analysis platform and method

Also Published As

Publication number Publication date
CN111884585A (en) 2020-11-03

Similar Documents

Publication Publication Date Title
CN111884585B (en) Photovoltaic power generation intelligent energy storage system
CN113904448B (en) Intelligent power distribution operation and maintenance service system based on multidimensional monitoring
CN111245096B (en) Distributed photovoltaic data acquisition terminal, system and data processing method
CN201910750U (en) Novel BIPV solar photovoltaic power station system
CN117013606B (en) Intelligent energy storage control system for photovoltaic power generation based on artificial intelligence
US20210408799A1 (en) System and method for controlling photovoltaic balancing
KR102625403B1 (en) Integrated local renewable energy management system
WO2023086017A2 (en) Method and apparatus for determining state of phovoltaic power station, device, and readable storage medium
CN112736959A (en) System and method for monitoring distributed photovoltaic power station
CN113169709A (en) Solar power generation control system and method based on machine learning
CN115730749B (en) Power dispatching risk early warning method and device based on fusion power data
CN116128241A (en) Intelligent power supply system
CN109800498A (en) A kind of photovoltaic plant data diagnosis system
CN112083279B (en) Electric power automation distributed information acquisition system and method
CN214407580U (en) Comprehensive energy system operation risk monitoring system
CN114665604A (en) Distributed power supply grid-connected monitoring device and method and power grid operation monitoring system
CN210742736U (en) Integrated information platform for power plant
CN208782777U (en) Photovoltaic plant fault location system
CN108462252B (en) Intelligent substation secondary circuit state evaluation method based on physical quantity logical mapping
CN202197235U (en) Solar photovoltaic system
CN111711214A (en) Micro-grid dispatching monitoring system
CN109066999A (en) A kind of Monitoring System of Ship Power Plant and method based on can bus
CN116937631B (en) Electric energy storage management system based on data processing
CN117477794B (en) Power distribution station power consumption management optimization system and method based on gateway machine data exchange
CN218450040U (en) Intelligent fault diagnosis system of distributed photovoltaic power station

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address

Address after: 518000, 2nd Floor, Building 2, Tongchan New Materials Industrial Park, No. 28 Langshan Road, Songpingshan Community, Xili Street, Nanshan District, Shenzhen, Guangdong Province

Patentee after: Shenzhen Kubo Energy Co.,Ltd.

Address before: 518057 2nd floor, building 2, TONGCHAN new materials Industrial Park, 28 Langshan Road, Shahe street, Nanshan District, Shenzhen City, Guangdong Province

Patentee before: SHENZHEN KUBO ENERGY SCIENCE & TECHNOLOGY Co.,Ltd.

CP03 Change of name, title or address