CN116015207A - Photovoltaic generated energy abnormality early warning device and early warning system - Google Patents
Photovoltaic generated energy abnormality early warning device and early warning system Download PDFInfo
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Abstract
The invention relates to the technical field of photovoltaic power generation, and particularly discloses a photovoltaic power generation abnormal early warning device and an early warning system, wherein the early warning system comprises: the light intensity sensor is arranged on the same plane with the photovoltaic module and is used for monitoring the ambient illumination intensity in real time; the temperature sensor is used for monitoring the ambient temperature of the photovoltaic module in real time; the electric energy detection component is used for monitoring electric energy information output by the photovoltaic component in real time; the service life management module is used for predicting the conversion rate according to the historical information of the photovoltaic module and the model information of the photovoltaic module; the early warning module is used for obtaining predicted generated energy according to the ambient illumination intensity, the ambient temperature and the predicted conversion rate, comparing the predicted generated energy with the electric energy information detected by the electric energy detection assembly, and carrying out early warning according to the comparison result; the system predicts the conversion rate of the photovoltaic module through the service life management module, can accurately predict the predicted power generation amount of the photovoltaic module, and accurately judges the fault problem.
Description
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to a photovoltaic power generation abnormal early warning device and an early warning system.
Background
Along with the rapid development of the new energy field, the application of the new energy of the photovoltaic is also more and more extensive, the installed capacity is also continuously increased, and the stable and normal operation of the photovoltaic module is a basis for ensuring the continuous and efficient power generation of the photovoltaic power station, so that the state of the photovoltaic module needs to be monitored when the photovoltaic module operates, the existing problems of the photovoltaic module are further rapidly judged, and meanwhile, the potential problems of the photovoltaic module need to be early warned, so that the problems can be found and solved in advance, and the expansion and the severity of the fault problems are reduced.
The existing photovoltaic early warning system mainly obtains the estimated generated energy according to the environmental information by obtaining the generated energy information of the photovoltaic module and combining the environmental information of the photovoltaic module, compares the estimated generated energy with the actually output generated energy, further judges whether the generated energy of the photovoltaic module is abnormal or not, and timely early warning is carried out to a manager when the generated energy of the photovoltaic module is abnormal, so that the timeliness of solving the problems of the photovoltaic power station can be improved.
The existing photovoltaic early warning system can analyze along with the service life curve based on the fixed conversion rate of the photovoltaic module in the analysis process, however, the loss of the electric energy conversion rate of the photovoltaic module is different under different use scenes, meanwhile, the change condition of the conversion rate of the photovoltaic module can also reflect the fault problem of the photovoltaic module, but the existing early warning system lacks analysis for the problem, so that the early warning judging process is not accurate enough.
Disclosure of Invention
The invention aims to provide a photovoltaic power generation amount abnormality early warning device and an early warning system, which solve the following technical problems:
how to improve the accuracy of early warning judgment of the generating capacity of the photovoltaic module.
The aim of the invention can be achieved by the following technical scheme:
a photovoltaic power generation abnormal early warning system, the early warning system comprising:
the light intensity sensor is arranged on the same plane with the photovoltaic module and is used for monitoring the ambient illumination intensity in real time;
the temperature sensor is used for monitoring the ambient temperature of the photovoltaic module in real time;
the electric energy detection component is used for monitoring electric energy information output by the photovoltaic component in real time;
the service life management module is used for predicting the conversion rate according to the historical information of the photovoltaic module and the model information of the photovoltaic module;
the early warning module is used for obtaining predicted generated energy according to the ambient illumination intensity, the ambient temperature and the predicted conversion rate, comparing the predicted generated energy with the electric energy information detected by the electric energy detection assembly, and carrying out early warning according to the comparison result.
In one embodiment, the process of obtaining the predicted conversion rate is:
obtaining a standard conversion rate attenuation curve St (t) of the photovoltaic module according to the model information of the photovoltaic module;
acquiring a photovoltaic module historical conversion rate attenuation curve Ht (t) according to the photovoltaic module historical information;
for St (t) 0 ) Ht (t) 0 ) And (3) judging:
if Ht (t) 0 )≥St(t 0 ) The predicted conversion Pt (t) is:
Pt(t)＝Ht(t 0 )-St(t 0 )+St(t)*ρ；
if Ht (t) 0 )＜St(t 0 ) The predicted conversion Pt (t) is:
wherein t is 0 And p is an adjustment coefficient for the last historical time point of the current time.
In an embodiment, the process of obtaining the adjustment coefficient ρ is:
by the formula
Obtaining a coefficient rho;
when ρ is E (1, ρ) th ]When rho is used as an adjustment coefficient;
otherwise, early warning is carried out;
wherein t is x At t 0 Time point before, and t 0 －t x =preset period; Δs is a standard area value between St (t) and Ht (t) within the Δt period; ΔF is St (t) 0 ) And Ht (t) 0 ) Is a standard deviation of (2); τ 1 、τ 2 The weight coefficient is preset; ρ th Is a preset threshold.
In one embodiment, the process of predicting the power generation amount is:
by the formula E (t) =e 0 (T), lux (T)) ×pt (T) obtaining a predicted power generation function E (T);
wherein T (T) is a temperature value monitored by the temperature sensor at a T time point; lux (t) is the ambient illumination intensity monitored by the light intensity sensor at the time point t; e (E) 0 And the model function is a standard generating capacity model function of the photovoltaic module.
In one embodiment, the process of comparing the predicted power generation amount with the detected power information is:
will E (t) y ) And t y Real-time electrical quantity value E detected at time point f (t y ) And (3) performing comparison:
if E f (t y )-E(t y )≥E th Early warning is carried out;
wherein E is th A preset power difference threshold value is set; t is t y For any point in time in the future.
In one embodiment, the system further comprises a light transmittance sensor and a transparent glass plate;
the transparent glass plate and the photovoltaic module are arranged on the same plane;
the transmitting end and the receiving end of the light transmittance sensor are respectively arranged on two sides of the transparent glass plate;
the predicted power generation amount is adjusted by the value detected by the light transmittance sensor.
In one embodiment, the process of adjusting the predicted power generation amount is:
by the formula E (t) =e 0 (T), lux (T)) ×pt (T) ×tr (L (T)) adjusted predicted power generation;
l (t) is the transmittance detected at time t; tr is a function of the effect of light transmittance on light conversion.
A photovoltaic power generation amount abnormality early warning device is used for executing the early warning system.
The invention has the beneficial effects that:
(1) According to the invention, the illumination intensity and the temperature of the environment where the photovoltaic module is located are monitored through the light intensity sensor and the temperature sensor, meanwhile, the conversion rate of the photovoltaic module is predicted through the service life management module, the predicted power generation amount of the photovoltaic module can be accurately predicted through the illumination intensity, the temperature and the predicted conversion rate, and the predicted power generation amount is compared with the actually detected power generation amount, so that whether the photovoltaic module has a fault problem can be accurately judged, and further, the stable operation of the photovoltaic power station can be ensured through timely early warning.
(2) The invention also adjusts the predicted generating capacity according to the structure of the dust on the photovoltaic module for transmitting light, specifically, the invention is realized by arranging the light transmittance sensor and the transparent glass plate, arranging the transparent glass plate and the photovoltaic module on the same plane, arranging the transmitting end and the receiving end of the light transmittance sensor on the two sides of the transparent glass plate respectively, and because the panels of the transparent glass plate in the photovoltaic module are in the same environment state, the influence of dust shielding on the generating conversion rate of the photovoltaic module can be judged through the light transmission of the transparent glass plate, and the accuracy of early warning judgment is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a photovoltaic power generation amount abnormality warning system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in one embodiment, a photovoltaic power generation abnormal early warning system is provided, and the early warning system includes:
the light intensity sensor is arranged on the same plane with the photovoltaic module and is used for monitoring the ambient illumination intensity in real time;
the temperature sensor is used for monitoring the ambient temperature of the photovoltaic module in real time;
the electric energy detection component is used for monitoring electric energy information output by the photovoltaic component in real time;
the service life management module is used for predicting the conversion rate according to the historical information of the photovoltaic module and the model information of the photovoltaic module;
the early warning module is used for obtaining predicted generated energy according to the ambient illumination intensity, the ambient temperature and the predicted conversion rate, comparing the predicted generated energy with the electric energy information detected by the electric energy detection assembly, and carrying out early warning according to the comparison result.
Through above-mentioned technical scheme, this embodiment is monitored through light intensity sensor, temperature sensor earlier to photovoltaic module's the illumination intensity and the temperature of the environment, predicts photovoltaic module's conversion through life management module simultaneously, through illumination intensity, temperature and predictive conversion, can accurately predict photovoltaic module's prediction generated energy, compares with the generated energy of actual detection through predictive generated energy, and then can accurately judge whether photovoltaic module has the trouble problem, and then through timely early warning, can guarantee photovoltaic power plant's steady operation.
It should be noted that, in this embodiment, the positions where the light intensity sensor and the temperature sensor are set are selected according to the specific conditions of the photovoltaic module, but it is required to ensure that the light intensity sensor is not blocked, and that the temperature sensor is not affected by heat generated by the device; the power detection assembly may be implemented by a common power monitoring device, such as a voltage and current detector, which is not described in detail in the present embodiment; the early warning mode of this embodiment may be implemented in various manners, such as pushing early warning messages, sending warning information by the warning terminal, which are commonly used in the prior art, and is not limited in this embodiment.
As an embodiment of the present invention, the process for obtaining the predicted conversion rate is as follows:
obtaining a standard conversion rate attenuation curve St (t) of the photovoltaic module according to the model information of the photovoltaic module;
acquiring a photovoltaic module historical conversion rate attenuation curve Ht (t) according to the photovoltaic module historical information;
for St (t) 0 ) Ht (t) 0 ) And (3) judging:
if Ht (t) 0 )≥St(t 0 ) The predicted conversion Pt (t) is:
Pt(t)＝Ht(t 0 )-St(t 0 )+St(t)*ρ；
if Ht (t) 0 )＜St(t 0 ) The predicted conversion Pt (t) is:
wherein t is 0 The p is an adjustment coefficient for the last historical time point of the current time; ρ E (1,1.06)]。
Through the technical scheme, the embodiment provides a method for obtaining the predicted conversion rate, which comprises the steps of firstly obtaining a standard conversion rate attenuation curve St (t) of a photovoltaic module according to model information of the photovoltaic module, obtaining a historical conversion rate attenuation curve Ht (t) of the photovoltaic module according to historical information of the photovoltaic module, predicting the attenuation curve Ht (t) of the photovoltaic module in a specific period, and selecting a predicted time point t on a current time point 0 Further to St (t 0 ) Ht (t) 0 ) To determine if Ht (t 0 )≥St(t 0 ) If the attenuation rate of the conversion rate of the photovoltaic module is lower than the expected rate, st (t) is positively regulated, and the ordinate is regulated at the same time, so that the predicted conversion rate Pt (t) can be obtained; similarly, when Ht (t 0 )＜St(t 0 ) In this case, st (t) is negatively adjusted and the ordinate is adjusted, so that the predicted conversion rate Pt (t) can be obtained.
Note that ρ is an adjustment coefficient; ρ e (1,1.06), the selection range of the adjustment coefficient ρ is selectively obtained after fitting according to historical empirical data.
It should be further noted that, the standard conversion rate attenuation curve St (t) of the photovoltaic module is obtained according to the performance parameters of the design stage of the photovoltaic module, specifically, key points can be established according to the standard loss conditions of the photovoltaic module at different time nodes, and the standard conversion rate attenuation curve St (t) of the photovoltaic module can be obtained by fitting the data of the key points; similarly, the historical conversion rate attenuation curve Ht (t) of the photovoltaic module is obtained according to data fitting of a plurality of time points in the historical time period, which is not described in detail herein.
As one embodiment of the present invention, the process of obtaining the adjustment coefficient ρ is:
the process for obtaining the adjustment coefficient rho comprises the following steps:
by the formula
Obtaining a coefficient rho;
when ρ is E (1, ρ) th ]When rho is used as an adjustment coefficient;
otherwise, early warning is carried out;
wherein t is x At t 0 Time point before, and t 0 －t x =preset period; Δs is a standard area value between St (t) and Ht (t) within the Δt period; ΔF is St (t) 0 ) And Ht (t) 0 ) Is a standard deviation of (2); τ 1 、τ 2 The weight coefficient is preset; ρ th Is a preset threshold.
Through the above technical solution, the present embodiment provides a process for obtaining the adjustment coefficient ρ, by the formula
Obtaining a coefficient ρ, and comparing ρ with a predetermined interval (1, ρ th ]In the present embodiment, ρ is compared th Is selected to be 1.06; when ρ is E (1, ρ) th ]When the conversion rate is adjusted, ρ is used as an adjustment coefficient, and the predicted conversion rate is adjusted through the adjustment coefficient ρ; otherwise, the conversion rate is seriously attenuated, so that early warning is carried out, and the existing specific reasons are judged.
It should be noted that when ρ is too large, both the high and low states of Ht (t) relative to St (t) exist, but in the actual process, the degradation of the conversion rate of the photovoltaic module is unavoidable, so when ρ > ρ th In this case, it is explained that the dropping speed of Ht (t) is high, that is, the photovoltaic moduleA fault problem occurs; in addition, Δs, Δf, τ in the above formula 1 τ 2 Are obtained through historical measurement data selection and are not described in detail herein.
As one embodiment of the present invention, the process of predicting the predicted power generation amount is:
by the formula E (t) =e 0 (T), lux (T)) ×pt (T) obtaining a predicted power generation function E (T);
wherein T (T) is a temperature value monitored by the temperature sensor at a time point T, and Lux (T) is the ambient illumination intensity monitored by the light intensity sensor at the time point T; e (E) 0 And the model function is a standard generating capacity model function of the photovoltaic module.
Through the above technical solution, the present embodiment provides a specific process of predicting the power generation amount by the formula E (t) =e 0 (T), lux (T))) Pt (T) acquires a predicted power generation function E (T), wherein E 0 Is a model function of the standard power generation amount of the photovoltaic module, thus outputting the ambient temperature T (T) and the illumination intensity Lux (T) to the E 0 In (3) obtaining standard generating capacity E 0 (T), lux (T)), and then multiplying the predicted conversion rate Pt (T) to obtain the predicted power generation amount E (T).
It should be noted that, the standard power generation model is obtained according to the measurement and calculation of the initial performance of the photovoltaic module, which is not described in detail herein.
As one embodiment of the present invention, the process of comparing the predicted power generation amount with the detected power information is:
will E (t) y ) And t y Real-time electrical quantity value E detected at time point f (t y ) And (3) performing comparison:
if E f (t y )-E(t y )≥E th Early warning is carried out;
wherein E is th A preset power difference threshold value is set; t is t y For any point in time in the future.
Through the technical scheme, the embodiment provides a specific comparison and analysis method, wherein E (t y ) And t y Real-time electrical quantity value E detected at time point f (t y ) Comparing, if E f (t y )-E(t y )≥E th And the difference between the two is larger, namely, the problem of abnormal generated energy of the photovoltaic module is solved, so that early warning is carried out.
E is also described as th An electric quantity difference threshold value is set for an error range according to actual data.
As an embodiment of the present invention, the system further comprises a light transmittance sensor and a transparent glass plate;
the transparent glass plate and the photovoltaic module are arranged on the same plane;
the transmitting end and the receiving end of the light transmittance sensor are respectively arranged on two sides of the transparent glass plate;
the predicted power generation amount is adjusted by the value detected by the light transmittance sensor.
Through above-mentioned technical scheme, this embodiment is when carrying out the prediction generated energy, still adjust the prediction generated energy to the structure of light transmissivity according to the last dust of photovoltaic module, specifically, realize through setting up light transmissivity sensor and transparent glass board, set up transparent glass board and photovoltaic module in the coplanar, set up the transmitting terminal and the receiving terminal of light transmissivity sensor in the two sides of transparent glass board respectively, because transparent glass board is in under the same environmental condition in the panel of photovoltaic module, consequently, through the light transmissivity of transparent glass board, and then can judge the influence that the dust sheltered from photovoltaic module power generation conversion rate, and then improved the accuracy of early warning judgement.
The specific structural arrangement of the transparent glass plate and the light transmittance sensor can be selectively adjusted according to the arrangement mode in the actual application process of the photovoltaic module, and the detailed description is omitted here.
As one embodiment of the present invention, the process of adjusting the predicted power generation amount is as follows:
by the formula E (t) =e 0 (T), lux (T)) ×pt (T) ×tr (L (T)) adjusted predicted power generation;
l (t) is the transmittance detected at time t; tr is a function of the effect of light transmittance on light conversion.
Through the technical scheme, the utility modelThe embodiment provides a process of specifically adjusting the predicted power generation amount by the formula E (t) =e 0 (T), lux (T)) ×pt (T) ×tr (L (T)) wherein L (T) is the transmittance detected at time T; tr is the influence function of transmittance to the light conversion rate, therefore, synthesize photovoltaic module transmittance state and carry out further adjustment to the prediction generated energy, can more accurate judgement photovoltaic module whether the generated energy is unusual problem appears, and then remind the manager of photovoltaic power plant to carry out timely maintenance to it, guarantee photovoltaic power plant steady operation.
In one embodiment, a photovoltaic power generation abnormal early warning device is provided, and the device comprises a hardware device for realizing the operation of an early warning system, such as a light intensity sensor, a temperature sensor, an electric energy detection assembly, a processor and the like, and is used for executing the early warning system; the illumination intensity and the temperature of the environment where the photovoltaic module is located are monitored through the light intensity sensor and the temperature sensor, meanwhile, the conversion rate of the photovoltaic module is predicted through the service life management module, the predicted generating capacity of the photovoltaic module can be accurately predicted through the illumination intensity, the temperature and the predicted conversion rate, the predicted generating capacity is compared with the actually detected generating capacity, whether the photovoltaic module has a fault problem can be accurately judged, and then the stable operation of the photovoltaic power station can be guaranteed through timely early warning.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. An abnormal photovoltaic power generation amount early warning system, which is characterized by comprising:
the light intensity sensor is arranged on the same plane with the photovoltaic module and is used for monitoring the ambient illumination intensity in real time;
the temperature sensor is used for monitoring the ambient temperature of the photovoltaic module in real time;
the electric energy detection component is used for monitoring electric energy information output by the photovoltaic component in real time;
the service life management module is used for predicting the conversion rate according to the historical information of the photovoltaic module and the model information of the photovoltaic module;
the early warning module is used for obtaining predicted generated energy according to the ambient illumination intensity, the ambient temperature and the predicted conversion rate, comparing the predicted generated energy with the electric energy information detected by the electric energy detection assembly, and carrying out early warning according to the comparison result.
2. The photovoltaic power generation amount abnormality early warning system according to claim 1, characterized in that the process of obtaining the predicted conversion rate is:
obtaining a standard conversion rate attenuation curve St (t) of the photovoltaic module according to the model information of the photovoltaic module;
acquiring a photovoltaic module historical conversion rate attenuation curve Ht (t) according to the photovoltaic module historical information;
for St (t) 0 ) Ht (t) 0 ) And (3) judging:
if Ht (t) 0 )≥St(t 0 ) The predicted conversion Pt (t) is:
Pt(t)＝Ht(t 0 )-St(t 0 )+St(t)*ρ；
if Ht (t) 0 )＜St(t 0 ) The predicted conversion Pt (t) is:
wherein t is 0 And p is an adjustment coefficient for the last historical time point of the current time.
3. The photovoltaic power generation amount abnormality early warning system according to claim 2, characterized in that the process of obtaining the adjustment coefficient ρ is:
by the formula
Obtaining a coefficient rho;
when ρ is E (1, ρ) th ]When rho is used as an adjustment coefficient;
otherwise, early warning is carried out;
wherein t is x At t 0 Time point before, and t 0 －t x =preset period; Δs is a standard area value between St (t) and Ht (t) within the Δt period; ΔF is St (t) 0 ) And Ht (t) 0 ) Is a standard deviation of (2); τ 1 、τ 2 The weight coefficient is preset; ρ th Is a preset threshold.
4. A photovoltaic power generation amount abnormality warning system according to claim 3, characterized in that the process of predicting the power generation amount is:
by the formula E (t) =e 0 (T), lus (T))pt (T) obtaining a predicted power generation function E (T);
wherein T (T) is a temperature value monitored by the temperature sensor at a T time point; lux (t) is the ambient illumination intensity monitored by the light intensity sensor at the time point t; e (E) 0 And the model function is a standard generating capacity model function of the photovoltaic module.
5. The photovoltaic power generation amount abnormality early warning system according to claim 4, wherein the process of comparing the predicted power generation amount with the detected power information is:
will E (t) y ) And t y Real-time electrical quantity value E detected at time point f (t y ) And (3) performing comparison:
if E f (t y )-E(t y )≥E th Early warning is carried out;
wherein E is th A preset power difference threshold value is set; t is t y For any point in time in the future.
6. The photovoltaic power generation abnormality warning system according to claim 5, characterized in that the system further comprises a light transmittance sensor and a transparent glass plate;
the transparent glass plate and the photovoltaic module are arranged on the same plane;
the transmitting end and the receiving end of the light transmittance sensor are respectively arranged on two sides of the transparent glass plate;
the predicted power generation amount is adjusted by the value detected by the light transmittance sensor.
7. The photovoltaic power generation amount abnormality warning system according to claim 6, wherein the process of the predicted power generation amount adjustment is:
by the formula E (t) =e 0 (T), lux (T)) ×pt (T) ×tr (L (T)) adjusted predicted power generation;
l (t) is the transmittance detected at time t; tr is a function of the effect of light transmittance on light conversion.
8. A photovoltaic power generation amount abnormality warning device for executing the warning system according to any one of claims 1 to 7.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116795008A (en) * | 2023-06-19 | 2023-09-22 | 深圳市骏业建筑科技有限公司 | Photovoltaic module cleaning control method, system, equipment and storage medium |
| CN116797600A (en) * | 2023-08-24 | 2023-09-22 | 北京智盟信通科技有限公司 | Photovoltaic module dust loss evaluation method |
| CN117114254A (en) * | 2023-10-25 | 2023-11-24 | 山东电力工程咨询院有限公司 | Power grid new energy abnormal data monitoring method and system |
| CN117767873A (en) * | 2023-11-21 | 2024-03-26 | 华能太仓发电有限责任公司 | Photovoltaic power station fault prediction method |
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2022
- 2022-12-06 CN CN202211557226.2A patent/CN116015207A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116795008A (en) * | 2023-06-19 | 2023-09-22 | 深圳市骏业建筑科技有限公司 | Photovoltaic module cleaning control method, system, equipment and storage medium |
| CN116797600A (en) * | 2023-08-24 | 2023-09-22 | 北京智盟信通科技有限公司 | Photovoltaic module dust loss evaluation method |
| CN116797600B (en) * | 2023-08-24 | 2023-11-10 | 北京智盟信通科技有限公司 | Photovoltaic module dust loss evaluation method |
| CN117114254A (en) * | 2023-10-25 | 2023-11-24 | 山东电力工程咨询院有限公司 | Power grid new energy abnormal data monitoring method and system |
| CN117114254B (en) * | 2023-10-25 | 2024-03-19 | 山东电力工程咨询院有限公司 | Power grid new energy abnormal data monitoring method and system |
| CN117767873A (en) * | 2023-11-21 | 2024-03-26 | 华能太仓发电有限责任公司 | Photovoltaic power station fault prediction method |
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