CN114742381A - Photovoltaic string health degree assessment method and system - Google Patents
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Abstract
The invention provides a photovoltaic string health degree evaluation method and system, which comprises the following steps: step 1, obtaining operation data of a photovoltaic power station, wherein the operation data comprises the number of times of faults of each group of strings in a period T, current data of each group of strings, the inter-string power generation amount of each group of strings and the minute-level real-time irradiation amount of each group of strings; step 2, respectively calculating the power generation amount coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings in the period T according to the operation data in the step 1; step 3, calculating the volume of each group of serial-dimensional health space models and the volume of the theoretical three-dimensional health space model in the period T according to the result obtained in the step 2; step 4, calculating the volume ratio of each group of serial-dimensional health space model volumes to the theoretical three-dimensional health space model volume in the period T; step 5, evaluating the health degree of the photovoltaic string according to the obtained volume ratio; the method can objectively and accurately evaluate the health degree of the photovoltaic string, and improves the working efficiency of personnel in the photovoltaic power station.
Description
Technical Field
The invention belongs to the field of photovoltaic power generation, and particularly relates to a photovoltaic string health degree evaluation method and system.
Background
In recent years, the number and scale of photovoltaic power stations in China are continuously increased, the development of photovoltaic power generation technology is changed day by day, and new technology and new method in the photovoltaic field are continuously emerged. However, as the operating time of the photovoltaic string increases, the failure rate of the string gradually increases, and therefore, the power generation loss and the maintenance cost use increase year by year. In order to effectively guide the operation and maintenance work of a photovoltaic power station and comprehensively evaluate the state of a string, the concept of the health state of the power station and the string is provided in the industry.
After the photovoltaic module is installed outdoors, the electrical characteristics of the photovoltaic module are reduced along with the increase of the service life, and the power of the crystalline silicon solar cell is reduced by about 0.5% per year on average. The health state of the string is reduced mainly due to the phenomena of yellowing, corrosion, hidden crack, cable damage, welding spot aging, bypass diode failure and the like of the photovoltaic module. This phenomenon, while temporarily not harmful to the system, can be an early sign of a serious failure of the components, thereby reducing the operating life and economic efficiency of the photovoltaic plant. Therefore, detecting the photovoltaic string is an important means for troubleshooting and maintaining the normal operation of the system.
At present, some detection and evaluation methods related to components are applied at home and abroad, and the detection and evaluation methods can be mainly divided into two categories, namely field on-line monitoring and time domain detection based on photovoltaic output characteristics. The field monitoring mainly utilizes infrared thermal imaging and electroluminescence technology, mainly utilizes an unmanned aerial vehicle to shoot a thermal infrared image above the array, and then utilizes an image processing algorithm to identify hot spots in the array, thereby diagnosing the health state of the array; the photovoltaic module is observed by using an industrial camera in an electroluminescence mode, and hidden cracks and damages in the module can be accurately positioned. The evaluation analysis mode, the used analysis data category and the analysis method are single, the health condition of the photovoltaic assembly cannot be comprehensively and effectively evaluated, the fault shutdown of the string is easily caused, and the direct and indirect economic losses are further brought.
In addition, time domain detection based on photovoltaic output characteristics is also available in the industry, and a method for evaluating the health degree of the component through an IV curve is adopted, but the method ignores the comprehensive influence of parameters such as temperature and environmental humidity on the health degree of the component.
(1) The consideration is single, and the quantization degree is not high. The health degree of the component is evaluated only from single parameters such as the string state, the power generation efficiency data or the IV curve, the comprehensive influence of all factors on the health degree of the string is omitted, and the difference among different strings is not considered, so that the evaluation effect is general and the lack of feasible quantitative evaluation indexes is caused.
(2) The evaluation method is not high in accuracy, and when the health degree of the photovoltaic string is evaluated at present, the evaluation accuracy is not high due to single considered factors.
(3) The health degree evaluation indexes of necessary comprehensive multifactorial factors are lacked, and quantitative evaluation cannot be carried out.
Disclosure of Invention
The invention aims to provide a photovoltaic string health degree evaluation method and system, and overcomes the defects in the prior art.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a photovoltaic string health degree assessment method which comprises the following steps:
step 1, obtaining operation data of a photovoltaic power station, wherein the operation data comprises the number of faults of each group of strings, current data of each group of strings, the inter-string generating capacity of each group of strings and the minute-level real-time irradiation quantity of each group of strings in a period T;
step 2, respectively calculating the power generation amount coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings in the period T according to the operation data in the step 1;
step 3, calculating the volume of each group of serial-dimensional health space models and the volume of the theoretical three-dimensional health space model in the period T according to the result obtained in the step 2;
step 4, calculating the volume ratio of each group of serial-dimensional health space model volumes to the theoretical three-dimensional health space model volume in the period T;
and 5, evaluating the health degree of the photovoltaic string according to the obtained volume ratio.
Preferably, in step 2, each group of power generation amount coefficients in the period T is calculated according to the operation data in step 1, and the specific method is as follows:
firstly, calculating the theoretical power generation amount of each group of strings in a period T;
secondly, calculating the loss electric quantity of each group of strings in the period T;
finally, the power generation capacity coefficient of each group of strings in the period T is calculated by the following formula:
wherein the content of the first and second substances,
generating capacity coefficient in the ith group string period T; qL-T-iThe power loss in the ith group string period T is obtained; eP-iAnd the theoretical power generation amount in the ith group string period T.
Preferably, in step 2, each set of discrete coefficients of the string current in the period T is calculated according to the operation data in step 1, and the specific method is as follows:
firstly, calculating the average value of each group of series currents of the jth bus box in a period T;
secondly, calculating a group string current standard difference value in a jth bus box in the period T;
finally, calculating the current dispersion coefficient of the jth combiner box group in the period T by using the following formula:
wherein, ciThe current dispersion coefficient of the jth combiner box group in the period T is set; average value of each group of string current in the mu period T; and sigma is the standard deviation value of the string current in the jth combiner box in the period T.
Preferably, in step 2, the sets of string fault coefficients in the period T are respectively calculated by combining the operation data of step 1 according to the following formula:
wherein λ isiA fault coefficient in an ith group string period T is obtained; n is a radical of an alkyl radicalF-iThe number of faults in the ith group string period T is set; and N is the number of the wind power plant strings.
Preferably, in step 3, the volume of each string of three-dimensional healthy space models is calculated according to the result obtained in step 2, and the specific method is as follows:
firstly, constructing a space rectangular coordinate system;
secondly, on a space rectangular coordinate system, combining the power generation amount coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings obtained in the step 2, and constructing to obtain a three-dimensional healthy space model;
and finally, calculating the volume of the three-dimensional health space model of each group of strings in the period T.
Preferably, the specific method for calculating the volume of each group of theoretical three-dimensional healthy space models in the period T is as follows:
and setting the generating capacity coefficient, the current dispersion coefficient and the fault coefficient of each string to be 1, and calculating by using a three-dimensional healthy space model volume calculation formula to obtain the theoretical three-dimensional healthy space model volume of each string.
Preferably, in step 5, the health degree of the photovoltaic string is evaluated according to the obtained volume ratio by a specific method comprising:
when the health index of the wind power generation set string belongs to the EiIf the value is larger than or equal to the target value, the health condition of the group of strings is qualified;
when the health index of the wind power generation set string belongs to the EiIf the value is less than the target value, the health condition of the cluster is not qualified.
A photovoltaic string health assessment system capable of operating the method, comprising:
the photovoltaic power station system comprises a data acquisition unit, a data processing unit and a control unit, wherein the data acquisition unit is used for acquiring operation data of the photovoltaic power station, and the operation data comprises the number of times of faults of each group of strings in a period T, current data of each group of strings, the inter-string generating capacity of each group of strings and the minute-level real-time irradiation quantity of each group of strings;
the coefficient calculation unit is used for respectively calculating the power generation capacity coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings in the period T according to the obtained operation data;
the volume calculation unit is used for calculating the volumes of all groups of serial-dimensional health space models and the volumes of theoretical three-dimensional health space models in the period T according to the obtained result;
the volume ratio calculation unit is used for calculating the volume ratio of each group of serial-dimensional health space model volumes and the theoretical three-dimensional health space model volume in the period T;
and the evaluation unit is used for evaluating the health degree of the photovoltaic string according to the obtained volume ratio.
A photovoltaic string health assessment apparatus comprising a processor and a memory storing a computer program operable on the processor, the processor implementing the method when executing the computer program.
A computing device, comprising:
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods.
Compared with the prior art, the invention has the beneficial effects that:
according to the photovoltaic string health degree evaluation method provided by the invention, a three-dimensional health space model is established according to the fault coefficient, the current dispersion coefficient and the generating capacity coefficient of each string in a period T, the volume of the actual health space model and the theoretical health space model is calculated, the ratio of the two is used as a health index, and the health index of each string is evaluated; the evaluation method comprehensively considers the influence of the generated energy, the fault rate and the current dispersion condition on the health degree, the generated energy coefficient comprehensively reflects the influence of various generated energy factors, the fault coefficient comprehensively reflects the influence of the fault times on the health degree, the current dispersion condition reflects the influence of the conversion efficiency and the stability of each component on the health degree of the string, and the evaluation is more objective and accurate.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a three-dimensional volumetric health space model.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The method comprises the following steps of collecting the following information from the existing 'photovoltaic power station operation and maintenance management system' and operation and maintenance logs of the photovoltaic power station: number of failures n of each group of strings in period TF-i. Meanwhile, the photovoltaic string health degree evaluation system provided by the patent is used for automatically collecting and calculating the following data from a photovoltaic power station monitoring system: reading each group of string current data I in period TS-iAnd the actual generated energy q in each group of string periods TiThe minute-level real-time irradiation H in each group of string periods TA-iAnd so on. Calculating the collected data to obtain the failure coefficients lambda of each group of strings in the period TiCurrent dispersion coefficient CiCoefficient of generated energy
And defined as a health indicator. And (3) introducing a health index concept, establishing a three-dimensional health space model by using the health index, calculating the volume of the actual health space model and the theoretical health space model, taking the ratio of the actual health space model to the theoretical health space model as a health index, evaluating the health indexes of the strings, and evaluating the health state.
Specifically, the photovoltaic string health degree evaluation method provided by the invention comprises the following steps:
step 1: acquiring required information data from a wind power plant SCADA system, a wind power plant operation and maintenance management system and an operation and maintenance log;
step 2: calculating the power generation capacity coefficient of each group of strings in the period T;
and step 3: calculating each group of string current discrete coefficients in the period T;
and 4, step 4: calculating fault coefficients of each group of strings in the period T;
and 5: and calculating the volume of each group of actual and theoretical three-dimensional health space models.
Step 6: and calculating the space volume ratio of the clusters to the theoretical health degree.
Specifically, in step 1, required information data is collected from a photovoltaic power station monitoring system, and the specific method is as follows:
s11, automatically collecting and calculating the following data from a photovoltaic power station monitoring system by using a photovoltaic string health degree evaluation system provided by the patent: actual generated energy q in each group of string period TiThe minute-level real-time irradiance E in each group of string periods TiCurrent data I in each group of string periods Tj-i。
S12, counting the failure times n of each group of strings in the period Ts-iAnd so on.
In the step 2, calculating the power generation capacity coefficient of each group of strings in the period T, and the specific method is as follows:
s21, calculating theoretical power generation in each group of string periods T according to a known calculation formula of power generation calculation in GB 50797-2012 photovoltaic power station design specifications by using the minute-level real-time irradiance in each group of string periods T of S11:
wherein: eP-iTheoretical power generation amount in the ith group string period T is set; hA-iThe total solar irradiation amount of the horizontal plane; pAZ-iInstalling capacity for the group; eSIrradiance (constant) under standard conditions; k is a system correction coefficient (namely, the loss of the system caused by line loss, surface pollution of a photovoltaic component, an inverter and the like, the empirical value of K is between 79 and 82 percent, and the system power generation amount can be estimated according to the range value)
And S22, calculating the loss electric quantity of each group of strings in the period T by using the actual electric quantity generation data in the period T of S11 and the theoretical electric quantity generation of each group of strings in the period T of S21:
QL-T-i＝EP-i-qi
wherein Q isL-T-iThe power loss in the ith group string period T is obtained; eP-iTheoretical power generation amount in the ith group string period T is obtained;
qithe actual power generation amount in the ith group string period T.
And S23, calculating the power generation coefficient of each group of strings in the period T by using the theoretical power generation data of the groups in the period T of S21 and the power loss of each group of strings in the period T of S22:
wherein, the first and the second end of the pipe are connected with each other,
generating capacity coefficient in the ith group string period T; qL-T--The power loss in the ith group string period T is obtained;
EP-iand the theoretical power generation amount in the ith group string period T.
In step 3, calculating each group of string current discrete coefficients in the period T, the specific method is as follows:
s31, obtaining current data I in each group of strings in the jth junction box in the period T of the photovoltaic power station monitoring systemj-i。
S32, using the series current data I of each set in the jth bus box in the S31 period Tj-iCalculating the average value mu of the current of each group of the jth collecting box in the period T:
wherein, the average value of the current of each group of the jth bus box in the mu period T; i isj-iThe current of the ith group of the jth bus box is the period Tjth; n is the total number of the group strings in the jth combiner box.
S33, calculating a group current standard deviation value sigma in the jth bus box in the period T:
wherein, the average value of each group of string current in the mu period T; i isj-iThe current of the ith group of the jth bus box is the period Tjth; n is the total number of the group strings in the jth combiner box.
S34, calculating the current dispersion coefficient c of the jth combiner box group in the period Tj:
And 4, calculating the fault coefficients of each group of strings in each period T, wherein the specific method comprises the following steps:
and S41, acquiring the number of times of faults of each group of strings in the period T of the operation and maintenance management system and the operation and maintenance log of the wind power plant.
S42, calculating the failure coefficient of each group of strings in the period T, namely the failure rate, by using the failure times in each group of strings in the period T of S41:
wherein λ isiA fault coefficient in an ith group string period T is obtained; n is a radical of an alkyl radicalF-iFor the ith group in the string period TThe number of failures; and N is the number of the wind power plant strings.
And 5, calculating the area ratio of each group of strings Si to the theoretical health degree triangle, wherein the specific method comprises the following steps:
s51, calculating the power generation coefficient of each string by using the S23
Values, each set of string start-stop deviation coefficients c calculated in S32jValue, each set of string fault coefficients lambda calculated by S42iThe three-dimensional health space model established by the values is shown in fig. 2, and passes through a fixed point O, and three mutually perpendicular axes are made, wherein the axes take O as an origin and generally have the same length unit, and the three axes are respectively called a space rectangular coordinate system constructed by an x axis (horizontal axis), a y axis (vertical axis) and a z axis (vertical axis), wherein
cj、λiRespectively, are determined on the x-axis
Point, y-axis determines cjPoint, z-axis determines λiPoint, through O,
cj、λiAnd establishing a three-dimensional health space model.
S52, calculating the volume V of the three-dimensional health space model of each group of strings in the period T by using each coefficient of the three-dimensional health space model in each group of strings in the period T of S51i:
S53, generating capacity coefficient when grouping
Each group of string start-stop deviation coefficient cjValue, string fault coefficient lambdaiWhen all are 1, each set of strings of S52 is usedThree-dimensional health space model volume V in period TiA calculation formula for calculating the volume V of the theoretical three-dimensional health space model of each group of strings in the period TΔ。
S54, calculating the three-dimensional health space model volume V of each group of strings in the period T by utilizing the S52iAnd S53 calculating the theoretical three-dimensional health space model volume V of each group of strings in the period TΔCalculating the actual volume V of each group of strings of three-dimensional health space modeliVolume V of same reasonΔBelonged toi:
Each group of strings ViSame-theory three-dimensional health space model volume ratio EiAnd as the health index of the wind power generation string, evaluating the health index of the wind power generation string.
When the health index epsilon of the photovoltaic stringiIf the string health status is greater than or equal to the target value, the string health status is qualified;
when the health index of the photovoltaic string belongs to the EiIf the health condition of the cluster is less than the target value, the health condition of the cluster is unqualified;
meanwhile, when the health index epsilon of the photovoltaic stringiThe closer to 1, the better the health condition of the group string;
when the health index of the photovoltaic string belongs to the EiThe closer to 0 hours, the worse the string health.
Health index e of photovoltaic stringiThe target value can be calculated by the method according to related data of research reports of each power station or the new energy power station is manually set according to the operation management requirement.
A photovoltaic string health assessment system capable of operating the method, comprising:
the photovoltaic power station system comprises a data acquisition unit, a data processing unit and a control unit, wherein the data acquisition unit is used for acquiring operation data of the photovoltaic power station, and the operation data comprises the number of times of faults of each group of strings in a period T, current data of each group of strings, the inter-string generating capacity of each group of strings and the minute-level real-time irradiation quantity of each group of strings;
the coefficient calculation unit is used for respectively calculating the power generation capacity coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings in the period T according to the obtained operation data;
the volume calculation unit is used for calculating the volumes of all groups of serial-dimensional health space models and the volumes of theoretical three-dimensional health space models in the period T according to the obtained result;
the volume ratio calculation unit is used for calculating the volume ratio of each group of serial-dimensional three-dimensional healthy space model volumes and the theoretical three-dimensional healthy space model volume in the period T;
and the evaluation unit is used for evaluating the health degree of the photovoltaic string according to the obtained volume ratio.
A photovoltaic string health assessment apparatus comprising a controller, and a memory storing a computer program operable on the processor, the processor implementing the method when executing the computer program.
A computing device, comprising:
one or more processors, memory, and one or more programs stored in the memory and configured for execution by the one or more processors, the one or more programs including instructions for performing any of the methods described.
In yet another embodiment of the present invention, a terminal device is provided that includes a processor and a memory for storing a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is adapted to implement one or more instructions, and is specifically adapted to load and execute one or more instructions to implement a corresponding method flow or a corresponding function; the processor according to the embodiment of the invention can be used for executing the method for evaluating the health degree of the photovoltaic string.
In still another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a Memory device in a terminal device and is used for storing programs and data. It is understood that the computer readable storage medium herein may include a built-in storage medium in the terminal device, and may also include an extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor can load and execute one or more instructions stored in the computer readable storage medium to realize the corresponding steps of the checking method related to the medium-term and long-term maintenance plan of the power grid in the embodiment; one or more instructions in the computer-readable storage medium are loaded by the processor and perform a method for assessing health of a photovoltaic string as described above.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The advantages and the effects of the invention are as follows:
(1) according to the wind power generation string health state evaluation model and method, the influence of generated energy, fault rate and current dispersion conditions on the health degree is comprehensively considered, the generated energy coefficient comprehensively reflects the influence of various generated energy factors, the fault coefficient comprehensively reflects the influence of fault times on the health degree, the current dispersion conditions reflect the influence of conversion efficiency and stability of each component on the string health degree, and evaluation is more objective and accurate;
(2) the visual representation of factors influencing the health degree is realized through the three-dimensional health space model;
(3) the health state assessment amount is quantified through the health degree index;
(4) this patent has realized reading, the automation of handling of data, has improved photovoltaic power plant personnel's work efficiency.
Claims (10)
1. A method and a system for evaluating the health degree of a photovoltaic string are characterized by comprising the following steps:
step 1, acquiring operation data of a photovoltaic power station;
step 2, respectively calculating the power generation amount coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings in the period T according to the operation data in the step 1;
step 3, calculating the volume of each group of serial-dimensional health space models and the volume of the theoretical three-dimensional health space model in the period T according to the result obtained in the step 2;
step 4, calculating the volume ratio of each group of serial-dimensional three-dimensional healthy space model volumes to the theoretical three-dimensional healthy space model volume in the period T;
and 5, evaluating the health degree of the photovoltaic string according to the obtained volume ratio.
2. The method for evaluating the health degree of the photovoltaic string according to claim 1, wherein in the step 2, the power generation capacity coefficient of each string in the period T is calculated according to the operation data in the step 1, and the specific method is as follows:
firstly, calculating the theoretical power generation amount of each group of strings in a period T;
secondly, calculating the loss electric quantity of each group of strings in the period T;
finally, the power generation capacity coefficient of each group of strings in the period T is calculated by the following formula:
wherein the content of the first and second substances,
generating capacity coefficients in the ith group string period T; qL-T-iThe power loss in the ith group string period T is obtained; eP-iAnd the theoretical power generation amount in the ith group string period T.
3. The method for evaluating the health degree of the photovoltaic string according to claim 1, wherein in the step 2, the discrete coefficients of the string currents in each group in the period T are respectively calculated according to the operation data in the step 1, and the specific method is as follows:
firstly, calculating the average value of each group of series currents of the jth bus box in a period T;
secondly, calculating a group current standard difference value in a jth combiner box in the period T;
finally, calculating the current dispersion coefficient of the jth combiner box group in the period T by using the following formula:
wherein, ciThe current dispersion coefficient of the jth combiner box group in the period T is set; average value of each group of current in mu period T; and sigma is the standard deviation value of the string current in the jth combiner box in the period T.
4. The method for evaluating the health degree of the photovoltaic string according to claim 1, wherein in the step 2, the string fault coefficients of each string in the period T are calculated respectively by combining the operation data of the step 1 according to the following formula:
wherein λ isiA fault coefficient in an ith group string period T is obtained; n is a radical of an alkyl radicalF-iThe number of faults in the ith group string period T is set; and N is the number of the wind power plant strings.
5. The method for evaluating the health degree of the photovoltaic strings according to claim 1, wherein in the step 3, the three-dimensional health space model volume of each string is calculated according to the result obtained in the step 2, and the specific method is as follows:
firstly, constructing a space rectangular coordinate system;
secondly, on a space rectangular coordinate system, combining the power generation amount coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings obtained in the step 2, and constructing to obtain a three-dimensional healthy space model;
and finally, calculating the volume of the three-dimensional health space model of each group of strings in the period T.
6. The method for evaluating the health degree of the photovoltaic string set according to claim 5, wherein the specific method for calculating the theoretical three-dimensional health space model volume of each string set in the period T comprises the following steps:
and setting the generating capacity coefficient, the current dispersion coefficient and the fault coefficient of each string to be 1, and calculating by using a three-dimensional healthy space model volume calculation formula to obtain the theoretical three-dimensional healthy space model volume of each string.
7. The method for evaluating the health degree of the photovoltaic string according to claim 1, wherein in the step 5, the health degree of the photovoltaic string is evaluated according to the obtained volume ratio, and the specific method comprises the following steps:
when the health index of the wind power generation set string belongs to the EiIf the value is larger than or equal to the target value, the health condition of the group of strings is qualified;
when the health index of the wind power generation set string belongs to the EiIf the value is less than the target value, the health condition of the cluster is not qualified.
8. A photovoltaic string health assessment system capable of operating the method of any one of claims 1-7, comprising:
the photovoltaic power station system comprises a data acquisition unit, a data processing unit and a control unit, wherein the data acquisition unit is used for acquiring operation data of the photovoltaic power station, and the operation data comprises the number of times of faults of each group of strings in a period T, current data of each group of strings, the inter-string generating capacity of each group of strings and the minute-level real-time irradiation quantity of each group of strings;
the coefficient calculation unit is used for respectively calculating the power generation capacity coefficient of each group of strings, the current dispersion coefficient of each group of strings and the fault coefficient of each group of strings in the period T according to the obtained operation data;
the volume calculation unit is used for calculating the volume of each group of serial-dimensional three-dimensional health space models and the volume of the theoretical three-dimensional health space model in the period T according to the obtained result;
the volume ratio calculation unit is used for calculating the volume ratio of each group of serial-dimensional health space model volumes and the theoretical three-dimensional health space model volume in the period T;
and the evaluation unit is used for evaluating the health degree of the photovoltaic string according to the obtained volume ratio.
9. A photovoltaic string health assessment device comprising a processor and a memory storing a computer program operable on the processor, the processor when executing the computer program implementing the method according to any one of claims 1-7.
10. A computing device, comprising:
one or more processors, memory, and one or more programs stored in the memory and configured for execution by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 1-7.
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