CN113052723A - Distributed photovoltaic power generation system operation and maintenance intelligent management system based on cloud computing and Internet of things - Google Patents

Distributed photovoltaic power generation system operation and maintenance intelligent management system based on cloud computing and Internet of things Download PDF

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CN113052723A
CN113052723A CN202110414838.5A CN202110414838A CN113052723A CN 113052723 A CN113052723 A CN 113052723A CN 202110414838 A CN202110414838 A CN 202110414838A CN 113052723 A CN113052723 A CN 113052723A
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battery pack
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CN113052723B (en
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李敏
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Jiangsu Jiecheng Smart Energy Technology Co.,Ltd.
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Wuhan Ruihui Technology Development Co ltd
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    • G06Q—INFORMATION 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
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
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    • G06Q10/20—Administration of product repair or maintenance
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses an operation and maintenance intelligent management system of a distributed photovoltaic power generation system based on cloud computing and the Internet of things. The system comprises a power station position acquisition module, a battery pack quantity statistics module, a battery pack angle detection module, an equipment operation parameter monitoring module, an external environment parameter detection module, a data processing and analysis module, an alarm terminal, a regulation and control terminal, a database and a display terminal, and is characterized in that comprehensive detection and careful analysis are carried out on the inclination angle of a power generation battery pack corresponding to each power station, the equipment operation parameters corresponding to each power station and the external environment parameters corresponding to each power generation battery pack of each power station, so that the problem that the existing operation and maintenance management mode of the photovoltaic power generation system has one-sidedness is solved, the intelligent adjustment of the light receiving area corresponding to the power generation battery pack is realized, and the management efficiency of the photovoltaic power generation system is greatly improved.

Description

Distributed photovoltaic power generation system operation and maintenance intelligent management system based on cloud computing and Internet of things
Technical Field
The invention belongs to the technical field of system operation and maintenance management, and relates to a distributed photovoltaic power generation system operation and maintenance intelligent management system based on cloud computing and the Internet of things.
Background
With the development and advance of new energy technologies, the power generation modes in the power industry are diversified, photovoltaic power generation plays an important role in the field of new energy industries since the development and advance of 21 reality, and solar energy is taken as the most ideal renewable green energy source under the large background of shortage of petroleum and coal mines, so that the research on the photovoltaic power generation technology is necessary, and the operation and maintenance management of a photovoltaic power generation system is more and more important.
The existing operation and maintenance management of the photovoltaic power generation system mainly aims at the generated energy of a power station and the demand of electricity consumption of a user, and the real-time operation state of the power station and the light energy conversion of a power generation battery pack are not analyzed, so that the existing operation and maintenance management mode of the photovoltaic power generation system also has many defects.
Disclosure of Invention
In view of this, in order to solve the problems proposed in the background art, an intelligent operation and maintenance management system for a distributed photovoltaic power generation system based on cloud computing and the internet of things is proposed, so that intelligent management of the photovoltaic power generation system is realized;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a distributed photovoltaic power generation system operation and maintenance intelligent management system based on cloud computing and Internet of things, which comprises a power station position acquisition module, a battery pack quantity counting module, a battery pack angle detection module, an equipment operation parameter monitoring module, an external environment parameter detection module, a data processing and analysis module, an alarm terminal, a regulation and control terminal, a database and a display terminal, wherein the power station position acquisition module is used for acquiring the position of a power station;
the power station position acquisition module is used for acquiring positions of power stations in the area, counting the number of the power stations corresponding to the area, numbering the power stations in the area according to a preset sequence, sequentially marking the power stations as 1,2,. i,. n, and further acquiring positions corresponding to the power stations, and further constructing a power station position information set Z (Z1, Z2,. Zi,. Zn), wherein Zi represents the position corresponding to the ith power station;
the battery pack quantity counting module is used for counting the quantity of the battery packs corresponding to each power station so as to obtain the quantity of the battery packs corresponding to each power station, numbering the battery packs corresponding to each power station according to a preset sequence, and sequentially marking the battery packs as 1,2,. j,. m;
the battery pack angle detection module is used for detecting the inclination angle of each battery pack of each power station, measuring the inclination angle corresponding to each battery pack of each power station by using an angle measuring instrument in the parameter detection equipment according to a preset time interval, further acquiring the inclination angle corresponding to each battery pack of each power station in each acquisition time period, and constructing an angle inclination set J of each battery pack of each power station in each acquisition time periodd t(Jd t1,Jd t2,...Jd tj,...Jd tm),Jd tj represents an inclination angle corresponding to the jth power generation station jth power generation group in the tth acquisition time period, t represents an acquisition time period, and t is 1,2,. x,. y, so that each power generation group angle inclination set of each power generation station in each acquisition time period is constructed and is sent to the data processing and analyzing module;
the equipment operation parameter monitoring module is used for monitoring operation parameters corresponding to each power generation equipment in each power station, counting the number of the power generation equipment corresponding to each power station, numbering the power generation equipment of each power station according to a preset sequence, sequentially marking the power generation equipment as 1,2, once, k, once, z, simultaneously acquiring operation parameters corresponding to each equipment of each power station, numbering the operation parameters corresponding to each power generation equipment of each power station according to a preset sequence, sequentially marking the operation parameters as 1,2, once, u, once, v, further acquiring numerical values corresponding to each operation parameter of each power generation equipment of each power station in each acquisition time period, and further constructing a power generation parameter set of each power generation equipment of each power station
Figure BDA0003025429730000021
Figure BDA0003025429730000022
The numerical value corresponding to the r-th operation parameter corresponding to the e-th power generation equipment of the ith power generation station in the t-th collection time period is shown, the e represents the number of the power generation equipment, the e is 1,2, the.2, transmitting the power generation parameter set of each power generation device of each power station to a data processing and analyzing module;
the external environment parameter detection module comprises a plurality of environment parameter detection devices which are respectively installed inside each power generation battery pack and respectively detect external environment parameters corresponding to each battery pack according to preset time intervals so as to obtain the external environment parameters corresponding to each power generation battery pack of each power generation station, wherein the external environment parameters corresponding to each power generation battery pack comprise temperature, humidity, wind speed and illumination intensity, and further an external environment parameter set C of each power generation battery pack of each power generation station is constructeds d(Cs d1,Cs d2,...Cs dj,...Cs dm)，Cs dThe system comprises a data processing and analyzing module, a data processing and analyzing module and a data processing and analyzing module, wherein the data processing and analyzing module is used for representing an s-th external environment parameter corresponding to a j-th power generation station group, s represents a power generation group external environment parameter, and s is q1, q2, q3, q4, q1, q2, q3 and q4 respectively represent temperature, humidity, wind speed and illumination intensity corresponding to the outside of each power generation group;
the data processing and analyzing module is used for receiving the angle inclination set of each power generation station in each acquisition time period sent by the battery pack angle detecting module, further acquiring the inclination angle corresponding to each power generation station in each acquisition time period, further calling the standard inclination angle corresponding to each power generation station in each power generation station from the database, comparing the inclination angle corresponding to each power generation station in each acquisition time period with the standard inclination angle corresponding to each battery pack of each power generation station, further acquiring the difference value between the inclination angle corresponding to each power generation station in each acquisition time period and the standard inclination angle corresponding to each battery pack of each power generation station, further counting the angle light energy conversion influence coefficient of each power generation station in each power generation station, if the difference value between the inclination angle corresponding to a certain power generation station in a certain acquisition time period and the standard inclination angle corresponding to the power generation station in the power generation station is not equal to zero, then the generating battery is recorded as an angle regulation and control battery, the acquisition time period is recorded as an angle regulation and control time period, and the acquisitionTaking the angle regulation and control mode corresponding to each angle required regulation and control pool group, further counting the number of the angle required regulation and control pool groups corresponding to each power station, regulating the number corresponding to each angle required regulation and control pool group and the position of the power station where each angle required regulation and control pool group is located, sending the number corresponding to each angle required regulation and control pool group of each power station, the position of the power station where each angle required regulation and control pool group is located, the angle required regulation and control time period corresponding to each angle required regulation and control pool group of each power station and the angle regulation and control mode corresponding to each angle required regulation and control pool group of each power station to a regulation and control terminal, and simultaneously counting the angle comprehensive light energy conversion influence coefficient of each power station pool group according to the counted angle light energy conversion influence coefficient
Figure BDA0003025429730000041
αd' representing the comprehensive light energy conversion influence coefficient of the power generation battery pack angle corresponding to the d-th power generation station, and sending the counted comprehensive light energy conversion influence coefficient of the power generation battery pack angle of each power generation station to a display terminal;
the data processing and analyzing module is used for receiving the power generation parameter set of each power generation station and each power generation equipment sent by the equipment operation parameter monitoring module, further acquiring the numerical values corresponding to each operation parameter of each power generation equipment of each power generation station in each acquisition time period, comparing the numerical values corresponding to each operation parameter of each power generation equipment of each acquisition time period with the threshold value of the standard numerical value corresponding to each operation parameter of each power generation equipment of each power generation station, further counting the operation abnormal influence coefficient of each operation parameter of each power generation equipment of each power generation station, if the certain operation parameter corresponding to a certain power generation equipment of a certain power generation station in a certain acquisition time period is larger than the threshold value of the standard numerical value corresponding to the operation parameter of the power generation equipment of the power generation station, marking the power generation station as an abnormal power generation station, marking the power generation equipment as abnormal power generation equipment, and marking the operation, counting the number of abnormal power stations, abnormal power generation equipment and abnormal operation parameters of the abnormal power generation equipment, and extracting the abnormal power stations, the abnormal power generation equipment and the abnormal power generation equipmentThe number corresponding to the normal operation parameter and the position corresponding to each abnormal power station are sent to an alarm terminal, and meanwhile, the comprehensive operation abnormity influence coefficient of the power generation equipment of each power station is counted according to the counted operation abnormity influence coefficient of each operation parameter of each power generation equipment of each power station, wherein the calculation formula of the comprehensive operation abnormity influence coefficient of the power generation equipment of each power station is as follows
Figure BDA0003025429730000051
βd' representing the comprehensive operation abnormity influence coefficient of the power generation equipment corresponding to the d-th power station, and sending the comprehensive operation abnormity influence coefficient of the power generation equipment of each power station to a display terminal;
the data processing and analyzing module is used for receiving the external environment parameter set of each power generation station power generation pool group sent by the external environment parameter detecting module, further acquiring the external temperature, humidity, wind speed and illumination intensity corresponding to each power generation pool group of each power generation station in each acquisition time period, further comparing the external environment parameters corresponding to each power generation station power generation pool group with the standard external environment parameters corresponding to each power generation station power generation pool group, further counting the light energy conversion influence coefficients of each external environment parameter of each power generation station power generation pool group, further counting the external environment parameter comprehensive light energy conversion influence coefficients of each power generation station power generation pool group according to the counted external environment light energy conversion influence coefficients of each power generation station power generation pool group, and sending the external environment parameter comprehensive light energy conversion influence coefficients of each power generation station power generation pool group to the display terminal;
the data processing and analyzing module is used for calculating the comprehensive operation influence coefficient of each power station according to the calculated comprehensive light energy conversion influence coefficient of each power station power generation battery pack angle, the calculated comprehensive operation abnormity influence coefficient of each power station power generation equipment and the calculated comprehensive light energy conversion influence coefficient of the external environment parameters of each power station power generation battery pack, and sending the comprehensive operation influence coefficient of each power station to the display terminal;
the database is used for storing standard inclination angles corresponding to all power generation station power generation battery packs, threshold values of standard numerical values corresponding to all operation parameters of all power generation equipment of all power generation stations, and standard external temperature, humidity, wind speed and illumination intensity corresponding to all power generation station power generation battery packs;
the alarm terminal is used for receiving the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations, which are sent by the data processing and analyzing module, so as to call the alarm terminal corresponding to the abnormal power stations for alarming, and simultaneously send the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations to related management personnel for management;
the regulating and controlling terminal is used for receiving the serial numbers corresponding to the angle regulating and controlling groups of each power station, the positions of the power stations where the angle regulating and controlling groups are located, the angle regulating and controlling time periods corresponding to the angle regulating and controlling groups of each power station and the angle regulating and controlling modes corresponding to the angle regulating and controlling groups of each power station, which are sent by the data processing and analyzing module, and regulating and controlling the angle regulating and controlling modes of the angle regulating and controlling groups of each power station according to the angle regulating and controlling time periods of the angle regulating and controlling groups of each power station;
and the display terminal is used for receiving the comprehensive light energy conversion influence coefficient of the angle of each power station power generation battery pack, the comprehensive operation abnormity influence coefficient of each power station power generation equipment, the comprehensive light energy conversion influence coefficient of the external environment parameters of each power station power generation battery pack and the comprehensive operation influence coefficient of each power station and displaying the comprehensive light energy conversion influence coefficient and the comprehensive operation influence coefficient of each power station in real time, which are sent by the data processing and analyzing module.
Furthermore, the environment parameter detection devices include a plurality of temperature sensors, a plurality of humidity sensors, a plurality of wind speed sensors, a plurality of wind direction sensors and a plurality of illuminance sensors, wherein the temperature sensors are used for detecting the external temperature corresponding to each power generation battery pack of each power generation station in each collection time period, the humidity sensors are used for detecting the external humidity corresponding to each power generation battery pack of each power generation station in each collection time period, the wind speed sensors are used for detecting the external wind speed corresponding to each power generation battery pack of each power generation station in each collection time period, the wind direction sensors are used for detecting the external wind direction corresponding to each power generation battery pack of each power generation station in each collection time period, and the illuminance sensors are used for detecting the external illumination intensity corresponding to each power generation battery pack of each power generation station in each collection time period.
Further, the angle regulation and control mode corresponding to the angle regulation and control pond group comprises upward regulation and control and downward regulation and control, if the difference value between the inclination angle corresponding to the angle regulation and control pond group of a certain power station in a certain acquisition time period and the standard inclination angle corresponding to the angle regulation and control pond group of the power station is greater than zero, the regulation and control mode of the angle regulation and control pond group is downward regulation and control, and if the difference value between the inclination angle corresponding to the angle regulation and control pond group of a certain power station in a certain acquisition time period and the standard inclination angle corresponding to the angle regulation and control pond group of the power station is less than zero, the regulation and control mode of the angle.
Further, the calculation formula of the angle light energy conversion influence coefficient of each power generation battery pack of each power generation station is
Figure BDA0003025429730000071
αd hRepresenting the angle light energy conversion influence coefficient, J, corresponding to the h generation battery pack of the d generation stationd ht represents the corresponding inclination angle of the h power generation battery pack of the d power station in the t acquisition time period, Jd standard hThe standard inclination angle corresponding to the h-th power generation group of the d-th power generation station is shown, h represents the number of each power generation group, and h is 1,2,. j,. m.
Furthermore, the calculation formula of the operation abnormal influence coefficient of each operation parameter of each power generation equipment of each power station is
Figure BDA0003025429730000072
βer dRepresents the abnormal influence coefficient T corresponding to the r-th operation parameter of the e-th power generation equipment of the d-th power stationer dT represents a numerical value corresponding to the r-th operating parameter of the e-th power generation equipment of the d-th power station in the T-th acquisition time period, Te drStandard minDenotes the ith operation of the e-th power plant of the d-th power plantAnd the threshold value of the standard value corresponding to the operation parameter.
Further, the calculation formula of the light energy conversion influence coefficient of each external environment parameter of each power generation battery pack of each power generation station is
Figure BDA0003025429730000073
λs dh represents the light energy conversion influence coefficient corresponding to the s external environment parameter of the h power generation battery pack of the d power station, Cq1 dh,Cq2 dh,Cq3 dh,Cq4 dh represents the external temperature, humidity, wind speed and illumination intensity corresponding to the h power generation battery pack of the d power station respectively, Cq1 Standard dh，Cq2 Standard dh，Cq2 Standard dh，Cq2 Standard dh represents the standard external temperature, the standard external humidity, the standard external wind speed and the standard external illumination intensity corresponding to the h-th power generation station group, s represents the external environment parameters of the power generation station group, and q is 1,2, 3 and 4.
Further, the calculation formula of the external environment parameter comprehensive light energy conversion influence coefficient of each power station power generation battery pack is
Figure BDA0003025429730000081
λd' represents the comprehensive light energy conversion influence coefficient of the external environment parameters of the power generation battery corresponding to the d-th power generation station.
Further, the calculation formula of the comprehensive operation influence coefficient of each power station is
Figure BDA0003025429730000082
QdAnd the comprehensive operation influence coefficient corresponding to the d-th power station is shown.
The invention has the beneficial effects that:
(1) according to the operation and maintenance intelligent management system of the distributed photovoltaic power generation system based on the cloud computing and the Internet of things, the inclination angle of the power generation station corresponding to the power generation station, the equipment operation parameters corresponding to the power generation station and the external environment parameters corresponding to the power generation station are comprehensively detected and analyzed through the battery pack angle detection module, the equipment operation parameter monitoring module and the external environment parameter detection module in combination with the data processing and analyzing module, the problem that the existing operation and maintenance management mode of the photovoltaic power generation system manages contents in a one-sidedness mode is solved, the intelligent adjustment of the light receiving area corresponding to the power generation battery pack is achieved, and meanwhile the management efficiency of photovoltaic power generation is greatly improved.
(2) According to the invention, the alarm terminal corresponding to each abnormal power station is called and called to alarm, so that the danger caused by the abnormal power station is effectively avoided, and meanwhile, the processing efficiency of managers on the abnormal conditions of the power station is effectively improved.
(3) According to the invention, regulation and control are carried out according to the angle regulation and control mode at the regulation and control terminal by taking the time period in which the angle of each angle to be regulated and controlled in each power station, so that the sunlight receiving area of each power generation battery pack is greatly increased, and the electric quantity conversion quantity and the conversion efficiency of each power generation battery pack are greatly increased.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of system module connections.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, the invention provides an operation and maintenance intelligent management system of a distributed photovoltaic power generation system based on cloud computing and internet of things, which comprises a power station position acquisition module, a battery pack number counting module, a battery pack angle detection module, an equipment operation parameter monitoring module, an external environment parameter detection module, a data processing and analysis module, an alarm terminal, a regulation and control terminal, a database and a display terminal, wherein the battery pack number counting module is used for counting the number of battery packs;
the power station position acquisition module is used for acquiring positions of power stations in the area, counting the number of the power stations corresponding to the area, numbering the power stations in the area according to a preset sequence, sequentially marking the power stations as 1,2,. i,. n, and further acquiring positions corresponding to the power stations, and further constructing a power station position information set Z (Z1, Z2,. Zi,. Zn), wherein Zi represents the position corresponding to the ith power station;
the battery pack quantity counting module is used for counting the quantity of the battery packs corresponding to each power station so as to obtain the quantity of the battery packs corresponding to each power station, numbering the battery packs corresponding to each power station according to a preset sequence, and sequentially marking the battery packs as 1,2,. j,. m;
the battery pack angle detection module is used for detecting the inclination angle of each battery pack of each power station, measuring the inclination angle corresponding to each battery pack of each power station by using an angle measuring instrument in the parameter detection equipment according to a preset time interval, further acquiring the inclination angle corresponding to each battery pack of each power station in each acquisition time period, and constructing an angle inclination set J of each battery pack of each power station in each acquisition time periodd t(Jd t1,Jd t2,...Jd tj,...Jd tm),Jd tj represents an inclination angle corresponding to the jth power generation station jth power generation group in the tth acquisition time period, t represents an acquisition time period, and t is 1,2,. x,. y, so that each power generation group angle inclination set of each power generation station in each acquisition time period is constructed and is sent to the data processing and analyzing module;
according to the embodiment of the invention, the angle of each battery pack is detected, so that a data basis is provided for the subsequent analysis of the influence of the light energy conversion efficiency of each battery pack on the angle.
The data processing and analyzing module is used for receiving the angle inclination set of each power generation battery pack of each power generation station in each acquisition time period sent by the battery pack angle detecting module, further acquiring the inclination angle corresponding to each power generation battery pack of each acquisition time period, further calling the standard inclination angle corresponding to each power generation battery pack of each power generation station from the database, comparing the inclination angle corresponding to each power generation battery pack of each acquisition time period with the standard inclination angle corresponding to each battery pack of each power generation station respectively, further acquiring the difference value of the inclination angle corresponding to each power generation battery pack of each power generation station in each acquisition time period and the standard inclination angle corresponding to each battery pack of each power generation station, and further counting the angle light energy conversion influence coefficient of each power generation battery pack of each power generation station, wherein the calculation formula of the angle light energy conversion influence coefficient of
Figure BDA0003025429730000102
αd hRepresenting the angle light energy conversion influence coefficient, J, corresponding to the h generation battery pack of the d generation stationd ht represents the corresponding inclination angle of the h power generation battery pack of the d power station in the t acquisition time period, Jd standard hThe standard inclination angle corresponding to the h-th power generation battery pack of the d-th power generation station is represented, h represents the serial number of each power generation battery pack, h is 1,2, j, m, if the difference value of the inclination angle corresponding to a certain power generation battery pack of a certain power generation station in a certain acquisition time period and the standard inclination angle corresponding to the power generation battery pack of the power generation station is not equal to zero, then the generating battery is recorded as an angle regulating battery, the collecting time period is recorded as an angle regulating time period, and the angle regulating mode corresponding to each angle regulating battery is obtained, and then counting the number of the angle required to be regulated and controlled battery packs corresponding to each power station, and calling the number corresponding to each angle required to be regulated and controlled battery pack and the position of the power station where each angle required to be regulated and controlled battery pack is located, and calling the number corresponding to each angle required to be regulated and controlled battery pack of each power station, the position of the power station where each angle required to be regulated and controlled battery pack is located, the angle required to be regulated and controlled time period corresponding to each angle required to be regulated and controlled battery pack of each power station.Sending an angle regulation mode corresponding to the angle regulation and control pool to a regulation and control terminal, and simultaneously counting the angle comprehensive light energy conversion influence coefficient of each power station power generation pool according to the counted angle light energy conversion influence coefficient of each power station power generation pool, wherein the formula of the angle comprehensive light energy conversion influence coefficient of each power station power generation pool is
Figure BDA0003025429730000111
αd' representing the comprehensive light energy conversion influence coefficient of the power generation battery pack angle corresponding to the d-th power generation station, and sending the counted comprehensive light energy conversion influence coefficient of the power generation battery pack angle of each power generation station to a display terminal;
in the calculation formula of the angle light energy conversion influence coefficient of each power generation battery pack of each power generation station, Jd ht and Jd standard hthe larger the difference value of t is, the larger the influence on the conversion of the angular light energy of each power generation station generator group is, and the lower the conversion efficiency of the angular light energy of each power generation station generator group is.
The equipment operation parameter monitoring module is used for monitoring operation parameters corresponding to each power generation equipment in each power station, counting the number of the power generation equipment corresponding to each power station, numbering the power generation equipment of each power station according to a preset sequence, sequentially marking the power generation equipment as 1,2, once, k, once, z, simultaneously acquiring operation parameters corresponding to each equipment of each power station, numbering the operation parameters corresponding to each power generation equipment of each power station according to a preset sequence, sequentially marking the operation parameters as 1,2, once, u, once, v, further acquiring numerical values corresponding to each operation parameter of each power generation equipment of each power station in each acquisition time period, and further constructing a power generation parameter set of each power generation equipment of each power station
Figure BDA0003025429730000112
Figure BDA0003025429730000113
The method includes the steps that a numerical value corresponding to an r-th operation parameter corresponding to an e-th power generation device of an ith power generation station in a t-th collection time period is shown, the e represents a power generation device number, and the e is 1,2, theThe operation parameters are numbered, wherein r is 1,2, a.u, a.v, and then the power generation parameter set of each power generation device of each power station is sent to a data processing and analyzing module;
the data processing and analyzing module is used for receiving the power generation parameter set of each power generation station and each power generation equipment sent by the equipment operation parameter monitoring module, further acquiring the numerical value corresponding to each operation parameter of each power generation equipment of each power generation station in each acquisition time period, further comparing the numerical value corresponding to each operation parameter of each power generation equipment of each acquisition time period with the threshold value of the standard numerical value corresponding to each operation parameter of each power generation equipment of each power generation station, and further counting the operation abnormity influence coefficient of each operation parameter of each power generation equipment of each power generation station, wherein the operation abnormity influence coefficient calculation formula of each operation parameter of each power generation equipment of each power generation station is
Figure BDA0003025429730000121
βer dRepresents the abnormal influence coefficient T corresponding to the r-th operation parameter of the e-th power generation equipment of the d-th power stationer dT represents a numerical value corresponding to the r-th operating parameter of the e-th power generation equipment of the d-th power station in the T-th acquisition time period, Te drStandard minA threshold value of a standard value corresponding to the r-th operation parameter of the e-th power generation equipment of the d-th power generation station is represented, if a certain operation parameter corresponding to a certain power generation equipment of a certain power generation station in a certain collection time period is larger than the threshold value of the standard value corresponding to the operation parameter of the power generation equipment of the power generation station, the power generation station is marked as an abnormal power generation equipment, the power generation equipment is marked as abnormal power generation equipment, the operation parameter corresponding to the power generation equipment is marked as abnormal operation parameter, the number of the abnormal power generation station, the abnormal power generation equipment and the abnormal power generation equipment abnormal operation parameter and the position corresponding to each abnormal power generation station are counted, the number corresponding to each abnormal power generation station, each abnormal power generation equipment and the abnormal power generation equipment abnormal operation parameter and the position corresponding to each abnormal power generation station are extracted, and the number corresponding to each abnormal power generation station, each abnormal power generation equipment and the, operation abnormity influence system of each operation parameter of each power generation equipment of each power station according to statisticsCounting and then counting the comprehensive operation abnormity influence coefficient of each power station power generation equipment, wherein the comprehensive operation abnormity influence coefficient calculation formula of each power station power generation equipment is
Figure BDA0003025429730000122
βd' representing the comprehensive operation abnormity influence coefficient of the power generation equipment corresponding to the d-th power station, and sending the comprehensive operation abnormity influence coefficient of the power generation equipment of each power station to a display terminal;
in the calculation formula of the operation abnormity influence coefficient of each operation parameter of each power generation device of each power station, Ter dT and Te drStandard minThe larger the difference between the power generation stations is, the larger the influence on the abnormal operation of each operation parameter of each power generation equipment of each power generation station is, and the more abnormal the operation of each power generation equipment of each power generation station is.
The external environment parameter detection module comprises a plurality of environment parameter detection devices which are respectively installed inside each power generation battery pack and respectively detect external environment parameters corresponding to each battery pack according to preset time intervals so as to obtain the external environment parameters corresponding to each power generation battery pack of each power generation station, wherein the external environment parameters corresponding to each power generation battery pack comprise temperature, humidity, wind speed and illumination intensity, and further an external environment parameter set C of each power generation battery pack of each power generation station is constructeds d(Cs d1,Cs d2,...Cs dj,...Cs dm)，Cs dThe system comprises a data processing and analyzing module, a data processing and analyzing module and a data processing and analyzing module, wherein the data processing and analyzing module is used for representing an s-th external environment parameter corresponding to a j-th power generation station group, s represents a power generation group external environment parameter, and s is q1, q2, q3, q4, q1, q2, q3 and q4 respectively represent temperature, humidity, wind speed and illumination intensity corresponding to the outside of each power generation group;
the data processing and analyzing module is used for receiving the external environment parameter set of each power generation station power generation battery pack sent by the external environment parameter detecting module, and further acquiring the external temperature, the external temperature and the external temperature corresponding to each power generation station power generation battery pack in each acquisition time period,Comparing external environment parameters corresponding to each power generation station power generation pool group with standard external environment parameters corresponding to each power generation station power generation pool group, and counting the light energy conversion influence coefficient of each external environment parameter of each power generation station power generation pool group, wherein the calculation formula of the light energy conversion influence coefficient of each external environment parameter of each power generation station power generation pool group is
Figure BDA0003025429730000131
λs dh represents the light energy conversion influence coefficient corresponding to the s external environment parameter of the h power generation battery pack of the d power station, Cq1 dh,Cq2 dh,Cq3 dh,Cq4 dh represents the external temperature, humidity, wind speed and illumination intensity corresponding to the h power generation battery pack of the d power station respectively, Cq1 Standard dh，Cq2 Standard dh，Cq2 Standard dh，Cq2 Standard dh respectively represents the standard external temperature, the standard external humidity, the standard external wind speed and the standard external illumination intensity corresponding to the h-th power generation battery pack of the d-th power generation station, s represents the external environment parameters of the power generation battery pack, and is q1, q2, q3 and q4, and further the comprehensive light energy conversion influence coefficient of the external environment parameters of the power generation battery pack of each power generation station is calculated according to the calculated external environment light energy conversion influence coefficient of each power generation battery pack of each power generation station, wherein the calculation formula of the comprehensive light energy conversion influence coefficient of the external environment parameters of each power generation battery pack of each power generation station is that
Figure BDA0003025429730000141
λd' representing the comprehensive light energy conversion influence coefficient of the external environment parameter of the power generation pool group corresponding to the d-th power generation station, and sending the comprehensive light energy conversion influence coefficient of the external environment parameter of the power generation pool group of each power generation station to a display terminal;
in the formula for calculating the light energy conversion influence coefficient of each external environment parameter of each power generation battery pack of each power generation station, Cq1 dh and Cq1 Standard dh、Cq2 dh and Cq2 Standard dh、Cq3 dh and Cq3 Standard dThe larger the difference value of h is, the greater the influence on the light energy conversion of each power generation station on each power generation battery pack is, the lower the light energy conversion efficiency of each power generation station each power generation battery pack is, and Cq4 dh and Cq4 Standard dThe larger the difference value of h is, the smaller the influence on the light energy conversion of each power generation station on each power generation battery pack is, the higher the light energy conversion efficiency of each power generation station each power generation battery pack is,
the data processing and analyzing module calculates the comprehensive operation influence coefficient of each power station according to the calculated comprehensive light energy conversion influence coefficient of each power station power generation battery pack angle, the calculated comprehensive operation abnormity influence coefficient of each power station power generation equipment and the calculated comprehensive light energy conversion influence coefficient of the external environment parameters of each power station power generation battery pack, wherein the calculation formula of the comprehensive operation influence coefficient of each power station is
Figure BDA0003025429730000142
QdRepresenting the comprehensive operation influence coefficient corresponding to the d-th power station, and sending the comprehensive operation influence coefficient of each power station to a display terminal, wherein QdThe larger the comprehensive operation influence of each power station is, the lower the comprehensive operation efficiency of each power station is;
according to the embodiment of the invention, the inclination angle of the power generation battery pack corresponding to each power generation station, the equipment operation parameters corresponding to each power generation station and the external environment parameters corresponding to each power generation battery pack of each power generation station are comprehensively detected and carefully analyzed, so that the problem that the content of the existing operation and maintenance management mode management of the photovoltaic power generation system is one-sided is solved, the intelligent adjustment of the light receiving area corresponding to the power generation battery pack is realized, and meanwhile, the management efficiency of the photovoltaic power generation system is greatly improved.
The database is used for storing standard inclination angles corresponding to all power generation station power generation battery packs, threshold values of standard numerical values corresponding to all operation parameters of all power generation equipment of all power generation stations, and standard external temperature, humidity, wind speed and illumination intensity corresponding to all power generation station power generation battery packs;
the alarm terminal is used for receiving the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations, which are sent by the data processing and analyzing module, so as to call the alarm terminal corresponding to the abnormal power stations for alarming, and simultaneously send the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations to related management personnel for management;
according to the embodiment of the invention, the alarm terminal corresponding to each abnormal power station is called and called to alarm, so that the danger caused by abnormal operation of power station equipment is effectively avoided, and meanwhile, the processing efficiency of managers on abnormal conditions of the power stations is effectively improved.
The regulating and controlling terminal is used for receiving the serial numbers corresponding to the angle regulating and controlling groups of each power station, the positions of the power stations where the angle regulating and controlling groups are located, the angle regulating and controlling time periods corresponding to the angle regulating and controlling groups of each power station and the angle regulating and controlling modes corresponding to the angle regulating and controlling groups of each power station, which are sent by the data processing and analyzing module, and regulating and controlling the angle regulating and controlling modes of the angle regulating and controlling groups of each power station according to the angle regulating and controlling time periods of the angle regulating and controlling groups of each power station;
according to the embodiment of the invention, the regulation and control terminal regulates and controls the battery packs of all the angles in each power station according to the angle regulation and control mode in the time period of the angle needing to be regulated and controlled, so that the sunlight receiving area of each battery pack is greatly increased, and the electric quantity conversion quantity and the conversion efficiency of each battery pack are greatly increased.
And the display terminal is used for receiving the comprehensive light energy conversion influence coefficient of the angle of each power station power generation battery pack, the comprehensive operation abnormity influence coefficient of each power station power generation equipment, the comprehensive light energy conversion influence coefficient of the external environment parameters of each power station power generation battery pack and the comprehensive operation influence coefficient of each power station and displaying the comprehensive light energy conversion influence coefficient and the comprehensive operation influence coefficient of each power station in real time, which are sent by the data processing and analyzing module.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (8)

1. Distributed photovoltaic power generation system operation and maintenance intelligent management system based on cloud calculates and thing networking, its characterized in that: the system comprises a power station position acquisition module, a battery pack quantity counting module, a battery pack angle detection module, an equipment operation parameter monitoring module, an external environment parameter detection module, a data processing and analysis module, an alarm terminal, a regulation and control terminal, a database and a display terminal;
the power station position acquisition module is used for acquiring positions of power stations in the area, counting the number of the power stations corresponding to the area, numbering the power stations in the area according to a preset sequence, sequentially marking the power stations as 1,2,. i,. n, and further acquiring positions corresponding to the power stations, and further constructing a power station position information set Z (Z1, Z2,. Zi,. Zn), wherein Zi represents the position corresponding to the ith power station;
the battery pack quantity counting module is used for counting the quantity of the battery packs corresponding to each power station so as to obtain the quantity of the battery packs corresponding to each power station, numbering the battery packs corresponding to each power station according to a preset sequence, and sequentially marking the battery packs as 1,2,. j,. m;
the battery pack angle detection module is used for detecting the inclination angle of each battery pack of each power station, measuring the inclination angle corresponding to each battery pack of each power station by using an angle measuring instrument in the parameter detection equipment according to a preset time interval, further acquiring the inclination angle corresponding to each battery pack of each power station in each acquisition time period, and constructing an angle inclination set J of each battery pack of each power station in each acquisition time periodd t(Jd t1,Jd t2,...Jd tj,...Jd tm),Jd tj represents the inclination angle corresponding to the jth power generation station jth power generation group in the tth acquisition time period, t represents the acquisition time period, and t is 1 and 2,... x.. y, and then transmitting the angle inclination set of each power generation battery pack of each power generation station in each acquisition time period to a data processing and analyzing module;
the equipment operation parameter monitoring module is used for monitoring operation parameters corresponding to each power generation equipment in each power station, counting the number of the power generation equipment corresponding to each power station, numbering the power generation equipment of each power station according to a preset sequence, sequentially marking the power generation equipment as 1,2, once, k, once, z, simultaneously acquiring operation parameters corresponding to each equipment of each power station, numbering the operation parameters corresponding to each power generation equipment of each power station according to a preset sequence, sequentially marking the operation parameters as 1,2, once, u, once, v, further acquiring numerical values corresponding to each operation parameter of each power generation equipment of each power station in each acquisition time period, and further constructing a power generation parameter set of each power generation equipment of each power station
Figure FDA0003025429720000021
Figure FDA0003025429720000022
The method comprises the steps that a numerical value corresponding to an r-th operation parameter corresponding to an e-th power generation device of an ith power generation station in a t-th collection time period is represented, e represents a power generation device number, wherein e is 1,2,. k,. z, r represents a power generation device operation parameter number, and r is 1,2,. u,. v, and then each power generation device power generation parameter set of each power generation station is sent to a data processing and analyzing module;
the external environment parameter detection module comprises a plurality of environment parameter detection devices which are respectively installed inside each power generation battery pack and respectively detect external environment parameters corresponding to each battery pack according to preset time intervals so as to obtain the external environment parameters corresponding to each power generation battery pack of each power generation station, wherein the external environment parameters corresponding to each power generation battery pack comprise temperature, humidity, wind speed and illumination intensity, and further an external environment parameter set C of each power generation battery pack of each power generation station is constructeds d(Cs d1,Cs d2,...Cs dj,...Cs dm)，Cs dIndicates that the jth power station corresponds to the jth power generation groupThe s-th external environment parameter of each power generation station, s represents the external environment parameter of the power generation battery pack, and s is q1, q2, q3, q4, q1, q2, q3 and q4 which respectively represent the corresponding temperature, humidity, wind speed and illumination intensity outside each power generation battery pack, so that the external environment parameter set of each power generation station power generation battery pack is sent to the data processing and analyzing module;
the data processing and analyzing module is used for receiving the angle inclination set of each power generation station in each acquisition time period sent by the battery pack angle detecting module, further acquiring the inclination angle corresponding to each power generation station in each acquisition time period, further calling the standard inclination angle corresponding to each power generation station in each power generation station from the database, comparing the inclination angle corresponding to each power generation station in each acquisition time period with the standard inclination angle corresponding to each battery pack of each power generation station, further acquiring the difference value between the inclination angle corresponding to each power generation station in each acquisition time period and the standard inclination angle corresponding to each battery pack of each power generation station, further counting the angle light energy conversion influence coefficient of each power generation station in each power generation station, if the difference value between the inclination angle corresponding to a certain power generation station in a certain acquisition time period and the standard inclination angle corresponding to the power generation station in the power generation station is not equal to zero, then the generating battery is recorded as an angle regulating battery, the collecting time period is recorded as an angle regulating time period, and the angle regulating mode corresponding to each angle regulating battery is obtained, further counting the number of the angle required to be regulated and controlled battery packs corresponding to each power station, and calling the number corresponding to each angle required to be regulated and controlled battery pack and the position of the power station where each angle required to be regulated and controlled battery pack is located, sending the number corresponding to each angle required to be regulated and controlled battery pack of each power station, the position of the power station where each angle required to be regulated and controlled battery pack is located, the angle required to be regulated and controlled time period corresponding to each angle required to be regulated and controlled battery pack of each power station and the angle regulation and control mode corresponding to each angle required to be, and meanwhile, according to the counted light energy conversion influence coefficient of each power generation station power generation battery pack angle, the comprehensive light energy conversion influence coefficient of each power generation station power generation battery pack angle is counted, wherein the comprehensive light energy conversion influence coefficient formula of each power generation station power generation battery pack angle is shown as follows.
Figure FDA0003025429720000031
α′dRepresenting the comprehensive light energy conversion influence coefficient of the power generation battery pack angle corresponding to the d-th power generation station, and sending the counted comprehensive light energy conversion influence coefficient of the power generation battery pack angle of each power generation station to a display terminal;
the data processing and analyzing module is used for receiving the power generation parameter set of each power generation station and each power generation equipment sent by the equipment operation parameter monitoring module, further acquiring the numerical values corresponding to each operation parameter of each power generation equipment of each power generation station in each acquisition time period, comparing the numerical values corresponding to each operation parameter of each power generation equipment of each acquisition time period with the threshold value of the standard numerical value corresponding to each operation parameter of each power generation equipment of each power generation station, further counting the operation abnormal influence coefficient of each operation parameter of each power generation equipment of each power generation station, if the certain operation parameter corresponding to a certain power generation equipment of a certain power generation station in a certain acquisition time period is larger than the threshold value of the standard numerical value corresponding to the operation parameter of the power generation equipment of the power generation station, marking the power generation station as an abnormal power generation station, marking the power generation equipment as abnormal power generation equipment, and marking the operation, counting the quantity of abnormal power stations, abnormal power generation equipment and abnormal operation parameters of the abnormal power stations, extracting the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations, sending the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations to an alarm terminal, and meanwhile, counting the comprehensive operation abnormal influence coefficients of the power generation equipment of the power stations according to the counted operation abnormal influence coefficients of the operation parameters of the power generation equipment of the power stations, wherein the calculation formula of the comprehensive operation abnormal influence coefficients of the power generation equipment of the power stations is as follows
Figure FDA0003025429720000041
β′dRepresenting the comprehensive operation abnormity influence coefficient of the power generation equipment corresponding to the d-th power station, and sending the comprehensive operation abnormity influence coefficient of the power generation equipment of each power station to a display terminal;
the data processing and analyzing module is used for receiving the external environment parameter set of each power generation station power generation pool group sent by the external environment parameter detecting module, further acquiring the external temperature, humidity, wind speed and illumination intensity corresponding to each power generation pool group of each power generation station in each acquisition time period, further comparing the external environment parameters corresponding to each power generation station power generation pool group with the standard external environment parameters corresponding to each power generation station power generation pool group, further counting the light energy conversion influence coefficients of each external environment parameter of each power generation station power generation pool group, further counting the external environment parameter comprehensive light energy conversion influence coefficients of each power generation station power generation pool group according to the counted external environment light energy conversion influence coefficients of each power generation station power generation pool group, and sending the external environment parameter comprehensive light energy conversion influence coefficients of each power generation station power generation pool group to the display terminal;
the data processing and analyzing module is used for calculating the comprehensive operation influence coefficient of each power station according to the calculated comprehensive light energy conversion influence coefficient of each power station power generation battery pack angle, the calculated comprehensive operation abnormity influence coefficient of each power station power generation equipment and the calculated comprehensive light energy conversion influence coefficient of the external environment parameters of each power station power generation battery pack, and sending the comprehensive operation influence coefficient of each power station to the display terminal;
the database is used for storing standard inclination angles corresponding to all power generation station power generation battery packs, threshold values of standard numerical values corresponding to all operation parameters of all power generation equipment of all power generation stations, and standard external temperature, humidity, wind speed and illumination intensity corresponding to all power generation station power generation battery packs;
the alarm terminal is used for receiving the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations, which are sent by the data processing and analyzing module, so as to call the alarm terminal corresponding to the abnormal power stations for alarming, and simultaneously send the numbers corresponding to the abnormal operation parameters of the abnormal power stations, the abnormal power generation equipment and the positions corresponding to the abnormal power stations to related management personnel for management;
the regulating and controlling terminal is used for receiving the serial numbers corresponding to the angle regulating and controlling groups of each power station, the positions of the power stations where the angle regulating and controlling groups are located, the angle regulating and controlling time periods corresponding to the angle regulating and controlling groups of each power station and the angle regulating and controlling modes corresponding to the angle regulating and controlling groups of each power station, which are sent by the data processing and analyzing module, and regulating and controlling the angle regulating and controlling modes of the angle regulating and controlling groups of each power station according to the angle regulating and controlling time periods of the angle regulating and controlling groups of each power station;
and the display terminal is used for receiving the comprehensive light energy conversion influence coefficient of the angle of each power station power generation battery pack, the comprehensive operation abnormity influence coefficient of each power station power generation equipment, the comprehensive light energy conversion influence coefficient of the external environment parameters of each power station power generation battery pack and the comprehensive operation influence coefficient of each power station and displaying the comprehensive light energy conversion influence coefficient and the comprehensive operation influence coefficient of each power station in real time, which are sent by the data processing and analyzing module.
2. The cloud computing and internet of things based distributed photovoltaic power generation system operation and maintenance intelligent management system according to claim 1, characterized in that: the environment parameter detection equipment comprises a plurality of temperature sensors, a plurality of humidity sensors, a plurality of wind speed sensors, a plurality of wind direction sensors and a plurality of illuminance sensors, wherein the temperature sensors are used for detecting the external temperature corresponding to each power generation battery pack of each power generation station in each acquisition time period, the humidity sensors are used for detecting the external humidity corresponding to each power generation battery pack of each power generation station in each acquisition time period, the wind speed sensors are used for detecting the external wind speed corresponding to each power generation battery pack of each power generation station in each acquisition time period, the wind direction sensors are used for detecting the external wind direction corresponding to each power generation battery pack of each power generation station in each acquisition time period, and the illuminance sensors are used for detecting the external illumination intensity corresponding to each power generation battery pack of each power generation station in each acquisition time period.
3. The cloud computing and internet of things based distributed photovoltaic power generation system operation and maintenance intelligent management system according to claim 1, characterized in that: the angle regulation and control mode corresponding to the angle regulation and control pond group comprises upward regulation and control and downward regulation and control, if the difference value between the inclination angle corresponding to the angle regulation and control pond group of a certain power station in a certain collection time period and the standard inclination angle corresponding to the angle regulation and control pond group of the power station is greater than zero, the regulation and control mode of the angle regulation and control pond group is downward regulation and control, if the difference value between the inclination angle corresponding to the angle regulation and control pond group of a certain power station in a certain collection time period and the standard inclination angle corresponding to the angle regulation and control pond group of the power station is less than zero, the regulation and control mode of the.
4. The cloud computing and internet of things based distributed photovoltaic power generation system operation and maintenance intelligent management system according to claim 1, characterized in that: the calculation formula of the angle light energy conversion influence coefficient of each power generation battery pack of each power station is
Figure FDA0003025429720000061
αd hRepresenting the angle light energy conversion influence coefficient, J, corresponding to the h generation battery pack of the d generation stationd ht represents the corresponding inclination angle of the h power generation battery pack of the d power station in the t acquisition time period, Jd standard hThe standard inclination angle corresponding to the h-th power generation group of the d-th power generation station is shown, h represents the number of each power generation group, and h is 1,2,. j,. m.
5. The cloud computing and internet of things based distributed photovoltaic power generation system operation and maintenance intelligent management system according to claim 1, characterized in that: the calculation formula of the operation abnormity influence coefficient of each operation parameter of each power generation device of each power station is
Figure FDA0003025429720000062
βer dRepresents the abnormal influence coefficient T corresponding to the r-th operation parameter of the e-th power generation equipment of the d-th power stationer dT represents a numerical value corresponding to the r-th operating parameter of the e-th power generation equipment of the d-th power station in the T-th acquisition time period, Te drStandard minAnd the threshold value represents a standard value corresponding to the r operation parameter of the e power generation equipment of the d power station.
6. The cloud computing and internet of things based distributed photovoltaic power generation system operation and maintenance intelligent management system according to claim 1, characterized in that: the calculation formula of the light energy conversion influence coefficient of each external environment parameter of each power generation battery pack of each power station is
Figure FDA0003025429720000071
λs dh represents the light energy conversion influence coefficient corresponding to the s external environment parameter of the h power generation battery pack of the d power station, Cq1 dh,Cq2 dh,Cq3 dh,Cq4 dh represents the external temperature, humidity, wind speed and illumination intensity corresponding to the h power generation battery pack of the d power station respectively, Cq1 Standard dh，Cq2 Standard dh，Cq2 Standard dh，Cq2 Standard dh represents the standard external temperature, the standard external humidity, the standard external wind speed and the standard external illumination intensity corresponding to the h-th power generation station group, s represents the external environment parameters of the power generation station group, and q is 1,2, 3 and 4.
7. The cloud computing and internet of things based distributed photovoltaic power generation system operation and maintenance intelligent management system according to claim 1, characterized in that: the calculation formula of the external environment parameter comprehensive light energy conversion influence coefficient of each power station power generation battery pack is
Figure FDA0003025429720000072
λd' represents the comprehensive light energy conversion influence coefficient of the external environment parameters of the power generation battery corresponding to the d-th power generation station.
8. The cloud computing and internet of things based distributed photovoltaic power generation system operation and maintenance intelligent management system according to claim 1, characterized in that: the comprehensive operation influence coefficient calculation formula of each power station is
Figure FDA0003025429720000073
QdAnd the comprehensive operation influence coefficient corresponding to the d-th power station is shown.
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Denomination of invention: Intelligent management system for operation and maintenance of distributed photovoltaic power generation system based on cloud computing and Internet of Things

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