CN111969950B - Photovoltaic power supply system operation state detection method and device and terminal - Google Patents

Photovoltaic power supply system operation state detection method and device and terminal Download PDF

Info

Publication number
CN111969950B
CN111969950B CN202010777054.4A CN202010777054A CN111969950B CN 111969950 B CN111969950 B CN 111969950B CN 202010777054 A CN202010777054 A CN 202010777054A CN 111969950 B CN111969950 B CN 111969950B
Authority
CN
China
Prior art keywords
sample
comparison unit
temperature
power supply
supply system
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
CN202010777054.4A
Other languages
Chinese (zh)
Other versions
CN111969950A (en
Inventor
赵瑞胜
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.)
China Tower Co Ltd
Original Assignee
China Tower 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 China Tower Co Ltd filed Critical China Tower Co Ltd
Priority to CN202010777054.4A priority Critical patent/CN111969950B/en
Publication of CN111969950A publication Critical patent/CN111969950A/en
Application granted granted Critical
Publication of CN111969950B publication Critical patent/CN111969950B/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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • 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

Abstract

The invention provides a method, a device and a terminal for detecting the running state of a photovoltaic power supply system, wherein the method comprises the following steps: acquiring operating parameters corresponding to a photovoltaic power supply system and a time node, wherein the operating parameters at least comprise ambient temperature, voltage and current; constructing the operation parameters corresponding to the time nodes into an operation parameter set by taking the time nodes as labels; selecting the operation parameter set with the environment temperature as a preset temperature as a sample comparison unit; comparing the operating parameters of the sample comparison unit with standard values; and obtaining the operating state of the photovoltaic power supply system according to the comparison result of the operating parameters and the standard values of the sample comparison unit. The invention changes the passive mode of examining and determining the cause one by one into the active positioning problem cause, improves the maintenance and repair efficiency and reduces the maintenance cost.

Description

Photovoltaic power supply system operation state detection method and device and terminal
Technical Field
The invention relates to the field of photovoltaics, in particular to a method, a device and a terminal for detecting the running state of a photovoltaic power supply system.
Background
The photovoltaic power supply system is a system at the core of the photovoltaic system, the common maintenance problems of the existing photovoltaic power supply system mainly comprise that the effective capacity of a storage battery is insufficient, the power consumption of a load is not matched with the power generation and standby power capacities, the charging current is set to be too large or too small, the photovoltaic power generation system is low in efficiency, the performance of the standby power system (the storage battery) is deteriorated, and the like. At present, common maintenance modes and fault diagnosis modes are all that maintenance personnel are all carried out passively and blindly, once faults occur, the faults need to be checked, confirmed and eliminated one by one, the fault removal efficiency is low, the states and the faults of the photovoltaic power supply system cannot be detected quickly and effectively, the maintenance cost is greatly improved, meanwhile, the normal production of the photovoltaic system is influenced, and the working efficiency of the photovoltaic power supply system is reduced.
Disclosure of Invention
The embodiment of the invention aims to provide a method, a device and a terminal for detecting the running state of a photovoltaic power supply system, and aims to provide a method for quickly and accurately determining the running state of the photovoltaic power supply system and determining the fault reason.
In order to achieve the above object, a first aspect of the embodiments of the present invention provides a method for detecting an operating state of a photovoltaic power supply system, including:
acquiring operating parameters corresponding to a photovoltaic power supply system and a time node, wherein the operating parameters at least comprise ambient temperature, voltage and current;
constructing the operation parameters corresponding to the time nodes into an operation parameter set by taking the time nodes as labels;
selecting the operating parameter set with the environment temperature as a preset temperature as a sample comparison unit;
comparing the operating parameters of the sample comparison unit with standard values;
and obtaining the operating state of the photovoltaic power supply system according to the comparison result of the operating parameters and the standard values of the sample comparison unit.
Optionally, the selecting the operating parameter set with the environmental temperature being a preset temperature as a sample comparison unit includes:
dividing the parameter set into a plurality of temperature groups according to the ambient temperature in the parameter set;
and selecting the temperature group with the environment temperature as a preset temperature as a sample comparison unit.
Optionally, the dividing the parameter set into a plurality of temperature groups according to the ambient temperature in the parameter set includes:
and replacing all the ambient temperatures in each temperature group by the same temperature label, wherein the temperature labels of different temperature groups are different.
Optionally, before the selecting the operating parameter set with the environmental temperature being a preset temperature as a sample comparison unit, the method further includes:
and taking a time-continuous operation parameter set as sample units, wherein each sample unit comprises a charging operation parameter subunit and a discharging operation parameter subunit.
Optionally, the selecting the operating parameter set with the environmental temperature being a preset temperature as a sample comparison unit includes:
dividing each sample cell into a plurality of temperature groups according to all ambient temperatures in the sample cell;
and selecting a temperature group of the sample unit, wherein the ambient temperatures of the sample unit are all preset temperatures, as a sample comparison unit.
Optionally, the comparing the operating parameter of the sample comparing unit with a standard value further comprises;
and carrying out averaging processing on a plurality of sample units in the sample comparison unit to obtain a mean value sample comparison unit.
Optionally, the step of performing equalization processing on the sample comparison unit to obtain an average value sample comparison unit includes;
dividing the sample comparison unit into a plurality of sample groups, wherein each sample group comprises relatively continuous sample units with the same number;
calculating the average value of the charging operation parameter and the average value of the discharging operation parameter of the charging operation parameter subunit and the discharging operation parameter subunit in each sample group at different time nodes;
and selecting the maximum value of the average value of the charging operation parameters and the minimum value of the average value of the discharging operation parameters as a mean value sample comparison unit of the sample group.
Optionally, the operation parameters include a charge operation parameter and a discharge operation parameter, the charge operation parameter includes a charge voltage and a charge current, and the discharge operation parameter includes a discharge voltage and a discharge current.
Optionally, the comparing the operating parameter of the sample comparing unit with a standard value includes: and comparing the charging current, the charging voltage and the discharging voltage in the operation parameters with standard values respectively.
Optionally, the obtaining the operating state of the photovoltaic power supply system according to the comparison result between the operating parameter of the sample comparison unit and the standard value includes:
and if the charging current is greater than a charging current standard value, the charging voltage is greater than a charging voltage standard value, and the discharging voltage is greater than a discharging voltage standard value, the photovoltaic power supply system operates normally.
Optionally, constructing the operating parameters corresponding to the time nodes into an operating parameter set by using the time nodes as tags includes:
and establishing an operation parameter key pair value, wherein the operation parameter key pair value takes a time node as an object, and the operation parameter corresponding to the time node is taken as an attribute of the object.
A second aspect of the embodiments of the present invention provides a device for detecting an operating state of a photovoltaic power supply system, including:
the operation parameter acquisition module is used for acquiring operation parameters corresponding to the photovoltaic power supply system and the time node, and the operation parameters at least comprise ambient temperature, voltage and current;
the processing module is used for constructing the operation parameters corresponding to the time nodes into an operation parameter set by taking the time nodes as labels; the operation parameter set is used for selecting the environment temperature as a preset temperature and is used as a sample comparison unit; the system is used for comparing the operating parameters of the sample comparison unit with standard values;
and the result output module is used for obtaining the operation state output of the photovoltaic power supply system according to the comparison result of the operation parameters and the standard values of the sample comparison unit.
A third aspect of the embodiments of the present invention provides a terminal, including a memory and a processor, where the memory is coupled to the processor; the memory stores instructions that, when executed by the processor, cause the processor to perform the method of embodiments of the present application.
A fourth aspect of the embodiments of the present invention provides a computer-readable medium having a program code executable by a processor, where the program code causes the processor to execute the method according to the embodiments of the present application.
According to the embodiment of the invention, the data of the photovoltaic power supply system is acquired, and the operation parameters corresponding to the time nodes are detected, compared and analyzed, so that the operation state and the fault reason of the photovoltaic power supply system can be quickly judged and obtained, the state detection efficiency and the fault reason detection efficiency of the photovoltaic power supply system are greatly improved, the passive one-by-one troubleshooting and cause determination mode is changed into the active positioning problem cause, the maintenance and overhaul efficiency is improved, and the maintenance cost is reduced. Meanwhile, the maintenance efficiency is improved, so that the maintenance time of the photovoltaic power supply system is shortened, and the production efficiency of the photovoltaic power supply system is improved.
Drawings
Fig. 1 is a flowchart of a method for detecting an operating state of a photovoltaic power supply system according to a first embodiment of the present invention;
fig. 2 is a flowchart of a method for detecting an operating state of a photovoltaic power supply system according to a second embodiment of the present invention;
fig. 3 is a flowchart of a method for detecting an operating state of a photovoltaic power supply system according to a third embodiment of the present invention;
FIG. 4 is a graph of the set of operating parameters for seven sample cells of sample set A:
FIG. 5a is a charge current plot of the charge run parameter sub-cell in the sample cell of sample set A;
FIG. 5b is a graph of the charge voltage of the charge run parameter sub-cell in the sample cell of sample set A;
FIG. 6a is a graph of the average value of the charge current versus the time node for a sample set A of charge operating parameters;
FIG. 6b is a graph of the average value of the charge voltage versus the time node for the charge operating parameter of sample set A;
FIG. 6c is a graph of the average value of the discharge voltage versus the time node for the discharge operating parameter of sample set A;
fig. 7 is a diagram of an operating state of the photovoltaic power supply system obtained according to a comparison result between the operating parameter of the sample comparison unit and the standard value.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first invention provides a method for detecting the running state of a photovoltaic power supply system.
As shown in fig. 1, a first embodiment of the present invention provides a method for detecting an operation state of a photovoltaic power supply system, which includes steps S101 to S105.
S101, obtaining operation parameters corresponding to the photovoltaic power supply system and a time node, wherein the operation parameters at least comprise environment temperature, voltage and current.
When the running state of the photovoltaic power supply system is monitored, the time node for acquiring the running parameters can be every second, every minute or every hour, and if the collection precision of the running parameters is improved, the running parameters of the photovoltaic power supply system can be acquired in real time.
And S102, constructing the operation parameters corresponding to the time nodes into an operation parameter set by taking the time nodes as labels.
Specifically, in this embodiment, the time node is used as the tag, and the operating parameter of the photovoltaic power supply system at the certain time node can be quickly and accurately retrieved, so that the operating state of the photovoltaic power supply system at the certain time node can be more accurately determined.
S103, selecting an operation parameter set with the environment temperature as a preset temperature as a sample comparison unit.
According to different investigation and detection environments, the preset temperature can be automatically limited, so that the running state of the photovoltaic power supply system at the required ambient temperature is ensured to be obtained.
And S104, comparing the operating parameters of the sample comparison unit with the standard values.
And S105, obtaining the running state of the photovoltaic power supply system according to the comparison result of the running parameters and the standard values of the sample comparison unit.
Although the operating state of the photovoltaic power supply system can be quickly detected and determined as an implementation manner, the data result processing is inaccurate due to the large fluctuation range of the temperature interval of the preset temperature.
Therefore, in order to solve the above-mentioned defects, a second embodiment of the present application provides a photovoltaic power supply system detection method based on the above-mentioned embodiments, as shown in fig. 2, including S201 to S205.
S201, obtaining operation parameters corresponding to the photovoltaic power supply system and a time node, wherein the operation parameters at least comprise ambient temperature, voltage and current.
The method comprises the steps of detecting and collecting the operating parameters of the photovoltaic power supply system by adopting a sensor and a data acquisition system, preferably detecting and collecting the operating parameters by adopting a data acquisition operation and maintenance monitoring system independently built by China iron tower companies, and then obtaining the operating parameters of the photovoltaic power supply system.
Specifically, the operating parameters include a charge operating parameter including an ambient temperature, a charge current, and a charge voltage, and a discharge operating parameter including an ambient temperature, a discharge current, and a discharge voltage.
S202, constructing the operation parameters corresponding to the time nodes into an operation parameter set by taking the time nodes as labels.
Specifically, in this embodiment, in order to improve the efficiency of data classification and the accuracy of data classification, the operation parameter set is embodied in the form of an operation parameter key pair value, the operation parameter key pair value takes a time node as an object, and an operation parameter corresponding to the time node is taken as an attribute of the object.
The operation parameter set is embodied in a key pair value form as follows: time { ambient temperature, voltage, current }, then the key pair value form of the set of charging operating parameters is: time { ambient temperature, charging voltage, charging current }, the key pair value form of the set of discharge operating parameters is: time { ambient temperature, discharge voltage, discharge current }.
S203, selecting an operation parameter set with the environment temperature as a preset temperature as a sample comparison unit.
Specifically, the method comprises the steps of dividing the operation parameter set into a plurality of temperature groups according to the ambient temperature in the operation parameter set;
the present embodiment includes dividing the parameter set into a plurality of temperature groups according to the ambient temperature in the operating parameter set; preferably divided into three temperature groups, including a low temperature group, a normal temperature group and a high temperature group, wherein the low temperature group comprises an operating parameter set with an ambient temperature of-10 ℃ to 10 ℃, the normal temperature group comprises an operating parameter set with an ambient temperature of 10 ℃ to 45 ℃, and the high temperature group comprises an operating parameter set with an ambient temperature of 45 ℃ to 60 ℃.
In addition, in S203, all the ambient temperatures in each temperature group are replaced by the same temperature label, and the temperature labels of different temperature groups are different.
And selecting a temperature group with the environment temperature as a preset temperature as a sample comparison unit.
And S204, comparing the operating parameters of the sample comparison unit with the standard values.
And S205, obtaining the running state of the photovoltaic power supply system according to the comparison result of the running parameters and the standard values of the sample comparison unit.
Although the above embodiment can ensure that the preset temperature can be detected quickly, and the influence of the ambient temperature on the accuracy of the final data structure is reduced, since there are many data points, if the data points are used directly, a large noise or deviation occurs, and the analysis result is influenced, the third embodiment of the present application provides a method for detecting a photovoltaic power supply system based on the above embodiments to overcome the above disadvantages, as shown in fig. 3 to 7, including S301 to S306.
S301, obtaining operation parameters of the photovoltaic power supply system corresponding to a time node t, wherein the operation parameters at least comprise environment temperature, voltage and current.
The method comprises the steps of detecting and collecting the operating parameters of the photovoltaic power supply system by adopting a sensor and a data acquisition system, preferably detecting and collecting the operating parameters by adopting a data acquisition operation and maintenance monitoring system independently built by China iron tower companies, and then obtaining the operating parameters of the photovoltaic power supply system.
Specifically, the operation parameters include a charge operation parameter and a discharge operation parameter, and the charge operation parameter includes a charge current IINAnd a charging voltage VINThe discharge operating parameter includes discharge current IOUTAnd a discharge voltage VOUT
S302, the time node is taken as a label, and the operation parameters corresponding to the time node are constructed into an operation parameter set.
Specifically, the operation parameter set comprises a charging operation parameter set and a discharging operation parameter set, wherein the charging operation parameter set comprises an environment temperature T and a charging current IINAnd a charging voltage VINThe discharge operation parameter set comprises an ambient temperature T and a discharge current IOUTAnd a discharge voltage VOUT
Optionally, in order to improve the data screening efficiency and accuracy, the operation parameter set is represented in the form of an operation parameter key pair value, the operation parameter key pair value takes the time node as an object, and the operation parameter corresponding to the time node is taken as an attribute of the object.
The key pair values of the set of operating parameters are of the general form: time { ambient temperature, voltage, current }, then the key pair value form of the set of charging operating parameters is: time { ambient temperature, charging voltage, charging current }, the key pair value form of the set of discharge operating parameters is: time { ambient temperature, discharge voltage, discharge current }.
In the actual implementation process, the acquired data are arranged as follows,
the plurality of sets of charge operating parameters includes INt1{T1,VIN1,IIN1}、INt2{T2,VIN2,IIN2}、INt3{T3,VIN2,IIN3}……INtn{Tn,VINn,IINn}。
The sets of discharge operating parameters include OUTT1{T1,VOUT1,IOUT1}、OUTt2{T2,VOUT2,IOUT2}、OUTt3{T3,VOUT2,IOUT3}……OUTtn{Tn,VOUTn,IOUTn}。
In this embodiment, the operating parameter set of 24 hours per day is divided into one sample unit, the operating parameters are recorded once per hour, and the operating parameter sets of different time points in one day are continuously recorded, for example, the operating parameter sets of each time node at 0, 1, 2, 3, 4-hour-.. 22, and 23 of 30 days in 4 months are used as one sample unit according to the time sequence. Instead of dividing by date, the consecutive 24 hours may be one sample unit, for example, from 9 hours on day 30 of month 4 to 9 hours on day 1 of month 5. Thus, each sample cell is chronologically formed by the operating parameter key pair values for the various time nodes for the successive 24 hours.
In addition, since the operation parameters include a charge operation parameter and a discharge operation parameter, each sample cell includes a charge operation parameter sub-cell and a discharge operation parameter sub-cell. Specifically, in the present embodiment, the charging operation parameter subunit is set from 9 hours to 15 hours of each day, and the discharging operation parameter subunit is set from 16 hours to 4 hours of each day.
S303, selecting an operation parameter set with the environment temperature as a preset temperature as a sample comparison unit.
The present embodiment includes dividing the parameter set into a plurality of temperature groups according to the ambient temperature in the operating parameter set; preferably divided into three temperature groups, including a low temperature group, a normal temperature group and a high temperature group, wherein the low temperature group comprises an operating parameter set with an ambient temperature of-10 ℃ to 10 ℃, the normal temperature group comprises an operating parameter set with an ambient temperature of 10 ℃ to 45 ℃, and the high temperature group comprises an operating parameter set with an ambient temperature of 45 ℃ to 60 ℃.
And screening qualified operating parameter key pairs in the operating parameters, namely selecting an operating parameter set with T falling into a temperature interval of a normal temperature group, namely selecting an operating parameter set with T being more than 10 ℃ and less than or equal to 45 ℃ in the embodiment. Specifically, in S303, all the ambient temperatures in each temperature group are replaced with the same temperature tag, the temperature tags in different temperature groups are different, and the data are better classified and sorted by the temperature tags, so that the analysis efficiency is improved.
The temperature labels in this example are-1/0/1 corresponding to the low temperature group, the normal temperature group, and the high temperature group, respectively. And marking the environmental temperature T normalization of all the operation parameter sets of the low-temperature group as-1, marking the environmental temperature T normalization of all the operation parameter sets of the normal-temperature group as 0, and marking the environmental temperature T normalization of all the operation parameter sets of the high-temperature group as 1. The temperature label-1/0/1 in this embodiment is only an example, and is not limited, and the temperature label may also be replaced by other forms such as other words, letters, numbers, and the like, which are not described in detail in this embodiment.
Specifically, in this embodiment, the 24-hour operation parameter set is used as one sample unit, so that the ambient temperature of each operation parameter set of each sample unit needs to be compared with the preset temperature, if the ambient temperatures of 24 hours in the same day all meet the preset temperature, the sample unit in the day is determined to meet the preset temperature, and all the ambient temperatures of the sample unit are normalized and marked as 0, and can be used as a sample comparison unit. If any one of the 24-hour environmental temperatures in the same day does not meet the preset temperature, the sample unit in the same day does not meet the requirement and cannot be used as a sample comparison unit.
For example: the environmental temperature of 24 hours in the whole day of 20 days in 5 months meets 10 ℃ and T is less than or equal to 45 ℃, and then the sample unit on the day of 20 days in 5 months can be used as a sample comparison unit. The environmental temperature at 5, 21 and 14 days is 46 ℃, and the environmental temperatures at other time periods are consistent with 10 ℃ and less than T and less than or equal to 45 ℃, so that the sample unit at the day of 5, 21 and 21 days cannot be used as a sample comparison unit.
Marking all the environmental temperatures T of the sample units of the 5-month 20-day samples as required, and marking all the environmental temperatures T of the sample units of the 5-month 20-day samples as T0 in a normalized mode, so that the operating parameter key pair values of the 5-month 20-day samples are all in a T {0, V, I } form.
S304, carrying out averaging processing on a plurality of sample units in the sample comparison unit to obtain a mean value sample comparison unit.
First, the sample matching unit is divided into a plurality of sample groups, each sample group includes a same number of relatively continuous sample units, and in this embodiment, a sample unit that is relatively continuous for 7 days is preferably selected as one sample group. The term "sample unit" as used herein is relatively continuous, and is mainly understood to mean that only relatively continuous sample alignment units can be selected since sample units are not individually capable of being sample alignment units.
For example, in the period from 5 month 20 to 5 month 30, the environmental temperature of the sample units on 5 month 21 and 5 month 24 at a certain time does not meet the preset temperature, and the environmental temperatures of the sample units on other dates all meet the preset temperature, at this time, the sample units on 5 month 21 and 5 month 24 cannot be used as the sample comparison unit, and the sample units on other dates can be used as the sample comparison unit, so that the sample units on 20, 22, 23, 25, 26, 27 and 28 consecutive days are selected as a sample group. And on the 29 th day and the 30 th day, a sample group consisting of seven-day sample units is formed by the sample units which accord with the preset temperature on the subsequent date, and so on, so that a plurality of sample groups are obtained.
And then calculating the average value of the charging operation parameter and the average value of the discharging operation parameter of the charging operation parameter subunit and the discharging operation parameter subunit in each sample group at different time nodes.
In this embodiment, taking the charging operation parameter as an example, assuming that M sample groups are obtained in total, the method includes: sample set a, sample set B, sample set C … … sample set M,
as shown in fig. 4, the sample group a includes sample units of seven days, each of which includes a charge operation parameter subunit and a discharge operation parameter subunit, or seven groups of the charge operation parameter subunits and the discharge operation parameter subunits are extracted from the sample units of seven days, respectively.
The sample units of seven days are respectively marked as sample unit a1Sample cell a2... sample cell a7In the sample cell a1Includes a1The current day charging operation parameter subunits are INt1a1{0,VINt1a1,IINt1a1},INt2a2{0,VINt2a1,IINt2a1},INt3a3{0,VINt3a1,IINt3a1… … etc. a1The combination of chronologically successive sets of charging operating parameters over a 24-hour period of the day, as shown in fig. 5a and 5b, are schematic diagrams of the charging current and charging voltage, respectively, for sample set a.
In the sample cell a2In also includes a2Charging operation parameter subunit of the same dayAre each INt1a2{0,VINt1a2,IINt1a2},INt2a2{0,VINt2a2,IINt2a2},INt3a2{0,VINt3a2,IINt3a2… … etc. a2A combination of chronologically successive sets of charging operating parameters over a 24-hour period of the day.
The other sample units are analogized in turn until the sample group a7Including INt1a7{0,VINt1a7,IINt1a7},INt2a7{0,VINt2a7,IINt2a7},INt3a7{0,VINt3a7,IINt3a7… … etc. a7A combination of chronologically successive sets of charging operating parameters over a 24-hour period of the day.
Wherein t is1a1And t1a2、t1a3.....t1a7Representing time nodes t corresponding to different sample units1E.g. t1a1Is a sample unit a114 in (1), then t1a2Representative sample cell a2At 14 in (1), the other t1The same is true. Sample cell a1Sample cell a2..7The other time nodes t are also uniformly and correspondingly recorded, and the charging operation parameter set of the corresponding time node t is recorded.
According to the sample unit a1Sample cell a2... sample cell a7The charging operation parameter subunit of (1) respectively obtains the average value of the charging operation parameters of the sample group a at a time node t, and then connects the average values of the charging operation parameters of different time nodes to obtain the relation graphs 6a and 6b of the average values of the charging current and the charging voltage in the charging operation parameters of seven sample units of the sample group a and the time node, wherein the specific calculation process is as follows;
selecting a sample unit a1Sample cell a2..7Set of charging operation parameters at a certain time node t, e.g. sample cell a1Sample cell a2..7A set of 12-hour charging operating parameters in each sample cell,accumulating and summing the charging operation parameters at 12 hours in each sample unit, and then dividing by 7 to obtain the average value INt of the charging operation parameter set at 12 hours of seven sample units in the sample group Aia{0,VINtia Mean value of,IINtia Mean value ofIn which INtiaIs 12 hours.
According to the method, different time points INt are obtained by analogy in sequenceiaThe average values of the charging operation parameter sets of different time nodes are connected according to a time sequence to obtain a relation graph 5a and a relation graph 5b of the average values of the charging operation parameter sets of the sample units of the sample group A and the time nodes, and the horizontal axis is the time node.
The calculation process of the discharging operation parameter and the charging operation parameter are not repeated herein, and a relationship diagram between the average value of the discharging operation parameter set of the sample unit of the sample group a and the time node is finally obtained, and a relationship diagram between the average value of the discharging voltage and the time node is selected, as shown in fig. 6 c.
And finally, selecting the maximum value of the average value of the charging operation parameters and the minimum value of the average value of the discharging operation parameters as a mean value sample comparison unit of the sample group.
In this embodiment, according to the relationship between the average value of the charging operation parameter set of the sample unit of the sample group a and the time node, the maximum value V in the average value of the charging operation parameter set of the sample group a is obtainedINmaxtiaAnd IINmaxtiaThe average value sample comparison unit as the charge operation parameter of the sample group a is an operation parameter for comparison with a standard value in S305.
The same calculation method as that of the charging operation parameter set is adopted for the discharging operation parameter set in the sample set A, the average value of the operation parameter sets of the sample units at each time node is obtained firstly, and then the maximum value V in the average value of the discharging operation parameter set is obtained from the relation between the average value of the discharging operation parameter set of the sample units and the time nodesOUTmintiaAnd IIOUTmintiaAs a mean value sample comparison unit of the discharge operation parameters of the sample group a.
The other sample groups adopt the same processing method, which is not described herein.
By utilizing the averaging treatment of the operation parameters and then comparing, the interference of external accidental factors on the operation parameters in the operation of the equipment is eliminated, the accuracy of data analysis is ensured, and the high efficiency and the accuracy of an analysis result are ensured.
S305, comparing the operation parameters of the sample comparison unit with the standard values.
Specifically, in this embodiment, the mean value sample comparison unit of the sample group a is preferably compared with the standard value. Charging voltage V that is the maximum of the averages of the charging operating parameter set of the sample group AINmaxtiaAnd a charging current IINmaxtiaAnd a discharge voltage V of the minimum value of the mean values of the set of discharge operating parametersOUTmintiaRespectively compared with the labeled value, i.e. charging current IINmaxtiaAnd a standard value IIN Standard valueCharging voltage VINmaxtiaAnd a standard value VIN standard valueDischarge voltage VOUTmintiaAnd a standard value VOUT Standard valueThe comparison was performed separately.
In this embodiment, IINThe trend of the charging current can be used for judging whether the power generation efficiency, the charging parameters and the like of the photovoltaic system are abnormal or not; vINThe voltage of the storage battery during charging reflects the electric quantity saturation of the storage battery during charging; vOUTThe voltage of the storage battery during discharging reflects the shortage condition of the electric quantity of the storage battery.
And S306, as shown in the figure 7, obtaining the running state of the photovoltaic power supply system according to the comparison result of the running parameters of the sample comparison unit and the standard values, obtaining the running state of the photovoltaic power supply system of the sample group A by utilizing the running parameter set of the sample unit of the sample group A within seven days, and similarly obtaining the running state results of other sample groups by utilizing the running parameter sets of other sample groups.
IINmaxtia≥IIN Standard value
VINmaxtia≥VIN Standard value
VOUTmintia≥VOUT Standard value
In this embodiment, if the charging current IINmaxtiaGreater than or equal to the standard value of charging current IIN Standard value ofAnd a charging voltage VINmaxtiaGreater than or equal to charging voltage standard VIN Standard valueAnd a discharge voltage VOUTmintiaGreater than or equal to the discharge voltage standard value VOUT Standard valueThe photovoltaic power supply system works normally, wherein VIN Standard valueAnd VOUT Standard valueMay be the same value.
If comprising the charging current IINmaxtiaGreater than or equal to the standard value of charging current IIN Standard valueAnd charging voltage VINmaxtiaGreater than or equal to charging voltage standard VIN Standard valueAnd a discharge voltage VOUTmintiaLess than the discharge voltage reference value VOUT Standard valueAnd the effective capacity of the storage battery of the photovoltaic power supply system is smaller than the electricity consumption of the load for the discharge time.
If the charging current IINmaxtiaGreater than or equal to the standard value of charging current IIN Standard valueAnd a charging voltage VINmaxtiaLess than charging voltage level VIN Standard value ofAnd a discharge voltage VOUTmintiaLess than the discharge voltage reference value VOUT Standard valueAnd if the effective capacity of the photovoltaic power supply system is less than the effective capacity of the storage battery, or the effective capacity of the storage battery is less than the electricity consumption of the load, and the discharge time is long.
If the charging current IINmaxtiaLess than the standard value of charging current IIN Standard valueAnd a charging voltage VINmaxtiaLess than charging voltage level VIN Standard valueAnd a discharge voltage VOUTmintiaLess than the discharge voltage reference value VOUT Standard valueIf the charging current parameter of the storage battery of the photovoltaic power supply system is set wrongly, or the effective capacity of the photovoltaic power supply system is smaller than the effective capacity of the storage battery, or the effective capacity of the storage battery is smaller than the power consumption of the load and the storage battery is dischargedThe length of time.
If the charging current IINmaxtiaGreater than or equal to the standard value of charging current IIN Standard valueAnd a charging voltage VINmaxtiaLess than charging voltage level VIN Standard valueAnd a discharge voltage VOUTmintiaaGreater than or equal to the discharge voltage standard value VOUT Standard valueAnd the effective capacity of the photovoltaic power supply system is less than the effective capacity of the storage battery.
If the charging current IINmaxtiaLess than the standard value of charging current IIN Standard valueAnd a charging voltage VINmaxtiaLess than charging voltage level VIN Standard valueAnd a discharge voltage VOUTmintiaGreater than or equal to the discharge voltage standard value VOUT Standard valueAnd if the current parameter of the storage battery is wrong, or the effective capacity of the photovoltaic power supply system is less than the effective capacity of the storage battery.
If the charging current IINmaxtiaLess than the standard value of charging current IIN Standard valueAnd a charging voltage VINmaxtiaGreater than or equal to charging voltage standard VIN Standard valueAnd a discharge voltage VOUTmintiaGreater than or equal to the discharge voltage standard value VOUT Standard valueAnd the setting of the uniform current parameter of the storage battery is wrong.
If the charging current IINmaxtiaLess than the standard value of charging current IIN Standard valueAnd a charging voltage VINmaxtiaGreater than or equal to charging voltage standard VIN Standard value ofAnd a discharge voltage VOUTmintiaLess than the discharge voltage reference value VOUT Standard valueAnd if the storage battery uniform current parameter is set wrongly, or the effective capacity of the storage battery is smaller than the load power consumption and the discharge duration.
A second aspect of the embodiments of the present invention provides a device for detecting an operating state of a photovoltaic power supply system, including:
the operation parameter acquisition module is used for acquiring operation parameters corresponding to the photovoltaic power supply system and the time node, and the operation parameters at least comprise ambient temperature, voltage and current;
the processing module is used for constructing an operation parameter set by using the time node as a label and the operation parameters corresponding to the time node; the system comprises a sample comparison unit, a comparison unit and a comparison unit, wherein the sample comparison unit is used for executing and selecting an operation parameter set with the environment temperature as a preset temperature; the device is used for comparing the operating parameters of the sample comparison unit with the standard values;
and the result output module is used for obtaining the operation state output of the photovoltaic power supply system according to the comparison result of the operation parameters and the standard values of the sample comparison unit.
A third aspect of embodiments of the present invention provides a terminal, including a memory and a processor, where the memory is coupled to the processor; the memory stores instructions that, when executed by the processor, cause the processor to perform the methods of embodiments of the present application.
A fourth aspect of the embodiments of the present invention provides a computer-readable medium having a program code executable by a processor, where the program code causes the processor to execute the method of the embodiments of the present application.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (12)

1. A method for detecting the running state of a photovoltaic power supply system is characterized by comprising the following steps:
acquiring operating parameters corresponding to a photovoltaic power supply system and a time node, wherein the operating parameters at least comprise ambient temperature, voltage and current;
constructing the operation parameters corresponding to the time nodes into an operation parameter set by taking the time nodes as labels;
selecting the operation parameter set with the environment temperature as a preset temperature as a sample comparison unit;
carrying out averaging processing on a plurality of sample units in the sample comparison unit to obtain a mean value sample comparison unit, comprising: dividing the sample comparison unit into a plurality of sample groups, wherein each sample group comprises relatively continuous sample units with the same quantity; calculating the average value of the charging operation parameter and the average value of the discharging operation parameter of the charging operation parameter subunit and the discharging operation parameter subunit in each sample group at different time nodes; selecting the maximum value of the average value of the charging operation parameters and the minimum value of the average value of the discharging operation parameters as a mean value sample comparison unit of the sample group;
comparing the operating parameters of the sample comparison unit with standard values;
and obtaining the operating state of the photovoltaic power supply system according to the comparison result of the operating parameters of the sample comparison unit and the standard value.
2. The method according to claim 1, wherein the selecting the operating parameter set with the ambient temperature being a preset temperature as a sample comparison unit comprises:
dividing the parameter set into a plurality of temperature groups according to the ambient temperature in the parameter set;
and selecting the temperature group with the environment temperature as a preset temperature as a sample comparison unit.
3. The method according to claim 2, wherein the dividing the set of operating parameters into a plurality of temperature groups according to the ambient temperature in the set of operating parameters comprises:
and replacing all the ambient temperatures in each temperature group by the same temperature label, wherein the temperature labels of different temperature groups are different.
4. The method for detecting the operating state of the photovoltaic power supply system according to claim 2, wherein before the step of selecting the operating parameter set with the environmental temperature as the preset temperature as the sample comparison unit, the method further comprises:
a time-continuous set of operating parameters is taken as sample cells, each sample cell including a charging operating parameter sub-cell and a discharging operating parameter sub-cell.
5. The method for detecting the operating state of the photovoltaic power supply system according to claim 4, wherein the selecting the operating parameter set with the environmental temperature being a preset temperature as a sample comparison unit comprises:
dividing each sample cell into a plurality of temperature groups according to all ambient temperatures in the sample cell;
and selecting a temperature group of the sample unit, wherein the ambient temperatures of the sample unit are all preset temperatures, as a sample comparison unit.
6. The method for detecting the operation state of the photovoltaic power supply system according to claim 1,
the operation parameters comprise charging operation parameters and discharging operation parameters, the charging operation parameters comprise charging voltage and charging current, and the discharging operation parameters comprise discharging voltage and discharging current.
7. The method for detecting the operating state of the photovoltaic power supply system according to claim 6, wherein the comparing the operating parameters of the sample comparing unit with standard values respectively comprises:
and comparing the charging current, the charging voltage and the discharging voltage in the operation parameters with standard values respectively.
8. The method for detecting the operating state of the photovoltaic power supply system according to claim 7, wherein the obtaining the operating state of the photovoltaic power supply system according to the comparison result between the operating parameter of the sample comparison unit and the standard value comprises:
and if the charging current is greater than a charging current standard value, the charging voltage is greater than a charging voltage standard value, and the discharging voltage is greater than a discharging voltage standard value, the photovoltaic power supply system operates normally.
9. The method for detecting the operating state of the photovoltaic power supply system according to claim 1, wherein constructing the operating parameters corresponding to the time nodes into an operating parameter set by using the time nodes as tags comprises:
and establishing an operation parameter key pair value, wherein the operation parameter key pair value takes a time node as an object, and the operation parameter corresponding to the time node as the attribute of the object.
10. The utility model provides a photovoltaic power supply system running state detection device which characterized in that includes:
the operation parameter acquisition module is used for acquiring operation parameters corresponding to the photovoltaic power supply system and the time node, and the operation parameters at least comprise ambient temperature, voltage and current;
the processing module is used for constructing the operation parameters corresponding to the time nodes into an operation parameter set by taking the time nodes as labels; the operation parameter set is used for selecting the environment temperature as a preset temperature and is used as a sample comparison unit; and averaging a plurality of sample units in the sample comparison unit to obtain a mean value sample comparison unit, including: dividing the sample comparison unit into a plurality of sample groups, wherein each sample group comprises relatively continuous sample units with the same quantity; calculating the average value of the charging operation parameters and the average value of the discharging operation parameters of the charging operation parameter subunit and the discharging operation parameter subunit in each sample group at different time nodes; selecting the maximum value of the average value of the charging operation parameters and the minimum value of the average value of the discharging operation parameters as a mean value sample comparison unit of the sample group;
and the operation parameter comparison unit is used for comparing the operation parameter of the sample comparison unit with a standard value;
and the result output module is used for obtaining the operation state output of the photovoltaic power supply system according to the comparison result of the operation parameters and the standard values of the sample comparison unit.
11. A terminal comprising a memory and a processor, the memory coupled with the processor; the memory stores instructions that, when executed by the processor, cause the processor to perform the method of any one of claims 1 to 9.
12. A computer-readable medium having program code executable by a processor, the program code causing the processor to perform the method of any one of claims 1 to 9.
CN202010777054.4A 2020-08-05 2020-08-05 Photovoltaic power supply system operation state detection method and device and terminal Active CN111969950B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010777054.4A CN111969950B (en) 2020-08-05 2020-08-05 Photovoltaic power supply system operation state detection method and device and terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010777054.4A CN111969950B (en) 2020-08-05 2020-08-05 Photovoltaic power supply system operation state detection method and device and terminal

Publications (2)

Publication Number Publication Date
CN111969950A CN111969950A (en) 2020-11-20
CN111969950B true CN111969950B (en) 2022-06-07

Family

ID=73363901

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010777054.4A Active CN111969950B (en) 2020-08-05 2020-08-05 Photovoltaic power supply system operation state detection method and device and terminal

Country Status (1)

Country Link
CN (1) CN111969950B (en)

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101078485A (en) * 2007-06-05 2007-11-28 江苏稳润光电有限公司 Method for promoting large power LED solar energy road lamp efficiency
CN101282044B (en) * 2008-05-30 2010-06-23 东莞市特龙金科能源科技有限公司 Matching circuit of solar battery as well as implementing method thereof
CN101697004A (en) * 2009-08-18 2010-04-21 深圳市珈伟实业有限公司 System for detecting electrical property of solar-powered power supply
CN101728984B (en) * 2010-01-18 2013-01-30 华北电力大学(保定) Method for predicting generation power of interconnected photovoltaic power station
CN101860061B (en) * 2010-06-10 2012-02-15 中南大学 Charge control method of low-power independent photovoltaic generating system
CN103399219B (en) * 2013-06-25 2016-12-28 招商新能源(深圳)有限公司 Photo-voltaic power generation station performance method of real-time
CN104579164B (en) * 2014-12-31 2018-05-29 阿特斯阳光电力集团有限公司 A kind of photovoltaic energy storage system performance monitoring method, apparatus and system
CN105160166B (en) * 2015-08-25 2018-01-16 许继集团有限公司 A kind of photovoltaic array state judging method
CN106055018B (en) * 2016-06-21 2017-12-08 中国农业大学 A kind of solar power generation maximum power tracking method and device
CN108306616B (en) * 2018-01-11 2019-08-23 科华恒盛股份有限公司 A kind of photovoltaic module method for detecting abnormality, system and photovoltaic system

Also Published As

Publication number Publication date
CN111969950A (en) 2020-11-20

Similar Documents

Publication Publication Date Title
CN107957562B (en) Online prediction method for residual life of lithium ion battery
Narayan et al. Estimating battery lifetimes in Solar Home System design using a practical modelling methodology
CN107945046B (en) New energy power station output data restoration method and device
CN110675070B (en) Intelligent microgrid device criticality analysis method
CN112505568B (en) Multi-stack solid oxide fuel cell system service life prediction method
CN112765149B (en) Energy storage system capacity calculation system and method
CN112433907A (en) Method and device for processing host operation parameter data of uninterruptible power supply and electronic device
CN110297185A (en) A kind of new energy car battery dynamic state of parameters monitoring system
CN115146723A (en) Electrochemical model parameter identification method based on deep learning and heuristic algorithm
CN111460656A (en) Method and system for evaluating operation life of communication power supply of electric power machine room
CN113176530B (en) On-line electricity meter batch fault diagnosis method based on operation characteristics of dismantling meter
CN111969950B (en) Photovoltaic power supply system operation state detection method and device and terminal
CN111856306A (en) Method for testing performance of hydrogen fuel cell engine
CN111413564A (en) Supercapacitor failure early warning method, system and equipment
CN116953554A (en) Multi-fragment data-based method and device for estimating SOH of lithium battery of energy storage power station
CN114705251B (en) Hydrogen production electrolytic tank state monitoring device and method
CN115392560A (en) Converter fault prediction method and system based on decision tree
CN115201681A (en) Lithium battery safety performance detection method and system
CN114710116A (en) Actual measurement modeling method and system of photovoltaic cell assembly based on fuzzy model
CN116243165A (en) Method and device for determining consistency of batteries, computing equipment and vehicle
CN110889491A (en) Weather factor-based power load prediction method and prediction system
Liao et al. Quickest line outage detection with low false alarm rate and no prior outage knowledge
CN109085437A (en) A kind of detection method of photovoltaic plant equipment health value
CN115642875A (en) Controllable series-parallel connection method for photovoltaic power generation system components controlled by microcontroller
CN117269811A (en) Online fault diagnosis method and system for electrochemical energy storage battery of power distribution network

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
CB02 Change of applicant information
CB02 Change of applicant information

Address after: Room 101, floors 1-3, building 14, North District, yard 9, dongran North Street, Haidian District, Beijing 100029

Applicant after: CHINA TOWER Co.,Ltd.

Address before: 100142 19th floor, 73 Fucheng Road, Haidian District, Beijing

Applicant before: CHINA TOWER Co.,Ltd.

GR01 Patent grant
GR01 Patent grant