CN117254772A - Data processing method and system based on electric energy metering device - Google Patents
Data processing method and system based on electric energy metering device Download PDFInfo
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Abstract
The invention discloses a data processing method and a system based on an electric energy metering device, which relate to the technical field of photovoltaic power.
Description
Technical Field
The invention relates to the technical field of photovoltaic power, in particular to a data processing method and system based on an electric energy metering device.
Background
The distributed photovoltaic power generation system is a power generation mode of distributing photovoltaic power generation devices at different places and connecting the photovoltaic power generation devices to a power system, along with rapid development and popularization of the distributed photovoltaic power generation system, the influence of the distributed photovoltaic power generation system on the power quality also draws attention of people, the traditional analog power metering system or the recently popular digital power metering system is mainly used for metering the power in terms of fundamental wave power or full wave power, the influence of harmonic waves on the power metering after the distributed new energy is not considered, and detailed analysis on the power quality of the distributed photovoltaic access cannot be provided, so that a data processing method and system based on the power metering device are needed, and the power quality of the distributed photovoltaic access can be accurately measured and analyzed.
In the prior art, the data processing system of the electric energy metering device aiming at the influence of the distributed photovoltaic access on the electric energy quality has the problems of insufficient measurement precision, imperfect data processing, insufficient power adjustment strategy, insufficient prediction and optimization and the like, and obviously, the data processing method has at least the following problems: 1. the lack of acquisition and analysis of state parameters of an electric energy metering device in the prior art may result in a device problem that cannot be found in time. This can influence accuracy and reliability of electric energy measurement, and then influence the evaluation and the analysis to distributed photovoltaic access's electric energy quality, simultaneously, lacks electric energy data's acquisition and stability analysis, can lead to electric energy stability to be difficult to ensure, and at photovoltaic equipment's different time points, the stability of electric energy can have great difference, if can't in time discover and solve the relatively poor condition of stability, can influence the quality and the reliability of electric energy.
The current technology also lacks the acquisition and analysis of weather forecast data, which can lead to the failure to accurately evaluate the influence of weather conditions on power output, and under the condition of large weather variation, photovoltaic equipment can not flexibly adjust power output so as to adapt to actual energy demands, thereby affecting the stability and utilization efficiency of electric energy, and simultaneously lacks the capability of adjusting power based on weather forecast data, which can limit the optimizing effect on electric energy quality. The power output of the photovoltaic device cannot be adjusted according to the predicted weather conditions, and the weather advantage may not be fully utilized and the weather change is dealt with, so that the balance of the power grid load and the stability of the electric energy are affected.
Disclosure of Invention
In view of the above-mentioned technical shortcomings, the present invention aims to provide a data processing method and system based on an electric energy metering device.
In order to solve the technical problems, the invention adopts the following technical scheme: the present invention provides in a first aspect a data processing method based on an electric energy metering device, comprising: step one, acquiring state parameters: and acquiring state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, wherein the state parameters comprise power factors and response time.
Step two, analyzing state parameters: according to the state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, the state parameters corresponding to the electric energy metering devices in the photovoltaic equipment are analyzed, the state evaluation coefficients corresponding to the electric energy metering devices in the photovoltaic equipment are obtained, whether the electric energy metering devices in the photovoltaic equipment operate normally or not is judged, and if the electric energy metering devices in the photovoltaic equipment operate normally, the step three is executed.
Step three, acquiring electric energy data: and setting a plurality of acquisition time points when each photovoltaic device operates, and further acquiring electric energy data corresponding to each photovoltaic device at each acquisition time point, wherein the electric energy data comprises a frequency change rate and a harmonic total distortion rate.
Fourth, analysis of electric energy stability: and according to the electric energy data corresponding to the photovoltaic devices in each acquisition time point, analyzing the electric energy data corresponding to the photovoltaic devices in each acquisition time point, and obtaining the stability evaluation coefficient corresponding to the photovoltaic devices in each acquisition time point.
Fifthly, judging the electric energy stability: and judging whether the electric energy of each photovoltaic device in each acquisition time point is stable or not according to the stability evaluation coefficient corresponding to each photovoltaic device in each acquisition time point, and marking each photovoltaic device in each acquisition time point, which is judged to be unstable, as each unstable photovoltaic device.
Step six, acquiring weather forecast data: setting a plurality of weather collection time points in a future period corresponding to the current moment of each unstable photovoltaic device, and further obtaining weather forecast data corresponding to each weather collection time point in the future period of each unstable photovoltaic device, wherein the weather forecast data comprises illumination intensity, cloud quantity and rainfall.
Step seven, analyzing weather forecast data: according to the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device is analyzed, and the weather forecast evaluation coefficient corresponding to the future period of each unstable photovoltaic device is obtained.
Step eight, adjusting power: and obtaining output power adjustment values corresponding to the unstable photovoltaic devices according to weather prediction evaluation coefficients corresponding to future periods of the unstable photovoltaic devices.
Preferably, the analyzing the state parameter corresponding to the electric energy metering device in each photovoltaic device specifically includes the following steps: the power factor and response time corresponding to the electric energy metering device in each photovoltaic device are respectively recorded asAnd->Wherein->Indicating the corresponding number of each photovoltaic device, < >>P is any integer greater than 2, and is substituted into a calculation formulaObtaining state evaluation coefficients corresponding to the electric energy metering devices in the photovoltaic equipmentWherein->、/>Respectively setting standard power factor and standard response time corresponding to an electric energy metering device in the photovoltaic equipment, < +.>、/>Respectively setting weight factors corresponding to power factors and response time of an electric energy metering device in the photovoltaic equipment, < +.>And (5) evaluating the correction factors corresponding to the coefficients for the state of the electric energy metering device in the set photovoltaic equipment.
Preferably, the determining whether the electric energy metering device in each photovoltaic device operates normally or not includes the following specific determining process: comparing the state evaluation coefficient corresponding to the electric energy metering device in each photovoltaic equipment with the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, judging that the electric energy metering device in the photovoltaic equipment is abnormal if the state evaluation coefficient corresponding to the electric energy metering device in a certain photovoltaic equipment is smaller than the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, and judging that the electric energy metering device in the photovoltaic equipment is normal if the state evaluation coefficient corresponding to the electric energy metering device in the certain photovoltaic equipment is larger than or equal to the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, so that whether the electric energy metering device in each photovoltaic equipment is normal is judged.
Preferably, the analyzing the electric energy data corresponding to each photovoltaic device in each collection time point specifically includes the following steps: the frequency change rate and the harmonic total distortion rate corresponding to each photovoltaic device in each acquisition time point are respectively recorded asAnd->Wherein->Numbers corresponding to each acquisition time point are indicated, < ->，/>Indicating the corresponding number of each photovoltaic device,m is any integer greater than 2, p is any integer greater than 2, and the integer is substituted into a calculation formulaObtaining stability evaluation coefficients corresponding to the photovoltaic devices in each acquisition time pointWherein->、/>Respectively setting standard frequency change rate and standard harmonic total distortion rate corresponding to the photovoltaic equipment>、Respectively setting weight factors corresponding to the frequency change rate and the harmonic total distortion rate of the photovoltaic equipment, wherein e represents a natural constant,>and evaluating a correction factor corresponding to the coefficient for the stability of the set photovoltaic equipment.
Preferably, the determining whether the electric energy of each photovoltaic device is stable in each collection time point includes the following specific determining process: comparing the stability evaluation coefficient corresponding to each photovoltaic device in each collection time point with the stability evaluation coefficient corresponding to the set standard photovoltaic device, if the stability evaluation coefficient corresponding to a certain photovoltaic device in a certain collection time point is smaller than the stability evaluation coefficient corresponding to the set standard photovoltaic device, judging that the electric energy of the photovoltaic device in the collection time point is unstable, and if the stability evaluation coefficient corresponding to a certain photovoltaic device in a certain collection time point is larger than or equal to the stability evaluation coefficient corresponding to the set standard photovoltaic device, judging that the electric energy of the photovoltaic device in the collection time point is stable, and judging whether the electric energy of each photovoltaic device in each collection time point is stable or not in this way.
Preferably, the acquiring weather forecast data corresponding to each acquisition time point in a future period of each unstable photovoltaic device specifically comprises the following steps: a1, acquiring a weather forecast data source by inquiring a weather bureau network.
A2, acquiring the illumination intensity, cloud quantity and rainfall corresponding to each acquisition time point in the future period of each unstable photovoltaic device through a weather forecast data source corresponding to a weather bureau network.
PreferablyThe weather forecast data corresponding to each weather collection time point in the future period of each unstable photovoltaic device is analyzed, and the specific analysis process is as follows: respectively recording the illumination intensity, cloud quantity and rain quantity corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device as、/>And->Wherein->Numbers representing the correspondence of the unstable photovoltaic devices, < >>，/>Numbers corresponding to the weather collection time points are indicated, < >>N is any integer greater than 2, u is any integer greater than 2, and the integer is substituted into a calculation formula +.>Obtaining weather prediction evaluation coefficients corresponding to future periods of each unstable photovoltaic device>Wherein->、/>、/>Respectively in the future period of the set unstable photovoltaic equipmentCorresponding standard illumination intensity, standard cloud cover, standard rainfall,>、/>、/>respectively setting weight factors corresponding to illumination intensity, cloud quantity and rainfall in future periods of unstable photovoltaic equipment, wherein e represents a natural constant>And (5) a correction factor corresponding to the weather forecast evaluation coefficient of the future period of the set stable photovoltaic equipment.
Preferably, the obtaining the output power adjustment value corresponding to each unstable photovoltaic device specifically includes the following steps: comparing the weather forecast evaluation coefficient corresponding to the future period of each unstable photovoltaic device with the weather forecast evaluation coefficient corresponding to each output power adjustment value in the database, and if the weather forecast evaluation coefficient corresponding to the future period of a certain unstable photovoltaic device is the same as the weather forecast evaluation coefficient corresponding to a certain output power adjustment value in the database, taking the output power adjustment value in the database as the output power adjustment value corresponding to the unstable photovoltaic device, thereby obtaining the output power adjustment value corresponding to each unstable photovoltaic device.
The present invention provides in a second aspect a data processing system based on an electric energy metering device, comprising: the state parameter acquisition module is used for acquiring state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, wherein the state parameters comprise power factors and response time.
The analysis module of the state parameter is used for analyzing the state parameter corresponding to the electric energy metering device in each photovoltaic device according to the state parameter corresponding to the electric energy metering device in each photovoltaic device, obtaining the state evaluation coefficient corresponding to the electric energy metering device in each photovoltaic device, judging whether the electric energy metering device in each photovoltaic device operates normally, and sending a signal to the acquisition module of the electric energy data if the electric energy metering device in each photovoltaic device operates normally.
The acquisition module of the electric energy data is used for setting a plurality of acquisition time points when each photovoltaic device operates, and further acquiring the electric energy data corresponding to each photovoltaic device at each acquisition time point, wherein the electric energy data comprises a frequency change rate and a harmonic total distortion rate.
And the analysis module of the electric energy stability is used for analyzing the electric energy data corresponding to the photovoltaic devices in the acquisition time points according to the electric energy data corresponding to the photovoltaic devices in the acquisition time points, so as to obtain stability evaluation coefficients corresponding to the photovoltaic devices in the acquisition time points.
The judging module of the electric energy stability is used for judging whether the electric energy of each photovoltaic device in each collecting time point is stable or not according to the stability evaluation coefficient corresponding to each photovoltaic device in each collecting time point, and recording each photovoltaic device in each collecting time point for judging the unstable electric energy as each unstable photovoltaic device.
The weather forecast data acquisition module is used for setting a plurality of weather acquisition time points in a future period corresponding to the current moment of each unstable photovoltaic device, and further acquiring weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, wherein the weather forecast data comprises illumination intensity, cloud quantity and rainfall.
The weather forecast data analysis module is used for analyzing the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device according to the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, so as to obtain weather forecast evaluation coefficients corresponding to the future period of each unstable photovoltaic device.
And the power adjusting module is used for acquiring output power adjusting values corresponding to the unstable photovoltaic devices according to weather prediction evaluation coefficients corresponding to future periods of the unstable photovoltaic devices.
The invention has the beneficial effects that: 1. according to the invention, the state parameters of the electric energy metering device in the photovoltaic equipment are obtained and analyzed, so that the health condition and the performance quality of the electric energy metering device can be evaluated, and whether the electric energy metering device runs normally or not is further judged, thereby being beneficial to timely finding and solving the problem of the electric energy metering device and improving the accuracy and the reliability of data.
2. According to the invention, the plurality of acquisition time points are arranged in the photovoltaic equipment, the electric energy data are acquired, the stability analysis is carried out, and the electric energy stability of the photovoltaic equipment at different time points can be evaluated, so that the time points with poor electric energy stability can be found, corresponding measures are taken to optimize the power output, and the electric energy stability is improved.
3. According to the invention, the weather forecast data of each unstable photovoltaic device in a future period are obtained and analyzed, so that the influence of weather conditions on power output can be estimated, the power output of the photovoltaic device can be adjusted according to the predicted weather conditions, the weather change is adapted, the stability of electric energy is ensured, the power output can be flexibly adjusted according to the change of the weather conditions, the photovoltaic device can be more adapted to actual demands, and the stability and the utilization efficiency of the electric energy are improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
FIG. 2 is a schematic diagram of the system module connection 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.
An embodiment of the present invention is shown in fig. 1, and a data processing method based on an electric energy metering device, including: step one, acquiring state parameters: and acquiring state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, wherein the state parameters comprise power factors and response time.
It should be noted that an electric energy metering device is installed in a photovoltaic device.
The power analyzer and the electric energy meter are connected to the circuit of the photovoltaic equipment, and then the power factor and the response time corresponding to the electric energy metering device in each photovoltaic equipment are obtained through the power analyzer and the electric energy meter connected to the circuit of the photovoltaic equipment.
Step two, analyzing state parameters: according to the state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, the state parameters corresponding to the electric energy metering devices in the photovoltaic equipment are analyzed, the state evaluation coefficients corresponding to the electric energy metering devices in the photovoltaic equipment are obtained, whether the electric energy metering devices in the photovoltaic equipment operate normally or not is judged, and if the electric energy metering devices in the photovoltaic equipment operate normally, the step three is executed.
In a specific embodiment, the analyzing the state parameter corresponding to the electric energy metering device in each photovoltaic device specifically includes the following steps: the power factor and response time corresponding to the electric energy metering device in each photovoltaic device are respectively recorded asAnd->Wherein->Indicating the corresponding number of each photovoltaic device, < >>P is any integer greater than 2, and is substituted into calculationFormula->Obtaining state evaluation coefficients corresponding to the electric energy metering devices in the photovoltaic equipment>Wherein->、/>Respectively setting standard power factor and standard response time corresponding to an electric energy metering device in the photovoltaic equipment, < +.>、/>Respectively setting weight factors corresponding to power factors and response time of an electric energy metering device in the photovoltaic equipment, < +.>And (5) evaluating the correction factors corresponding to the coefficients for the state of the electric energy metering device in the set photovoltaic equipment.
It should be noted that the number of the substrates,、/>are all greater than 0 and less than 1.
It should also be noted that,greater than 0 and less than 1.
In another specific embodiment, the determining whether the electric energy metering device in each photovoltaic device operates normally includes the following specific determining process: comparing the state evaluation coefficient corresponding to the electric energy metering device in each photovoltaic equipment with the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, judging that the electric energy metering device in the photovoltaic equipment is abnormal if the state evaluation coefficient corresponding to the electric energy metering device in a certain photovoltaic equipment is smaller than the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, and judging that the electric energy metering device in the photovoltaic equipment is normal if the state evaluation coefficient corresponding to the electric energy metering device in the certain photovoltaic equipment is larger than or equal to the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, so that whether the electric energy metering device in each photovoltaic equipment is normal is judged.
It should be noted that if the operation of the electric energy metering device in a certain photovoltaic apparatus is abnormal, calibration is needed, the calibration can be performed by a professional calibration mechanism or a provider, the calibration can correct the error of the electric energy metering device, so that the power factor and the response time of the electric energy metering device can be restored to the standard requirements, and after the calibration is completed, whether the operation of the electric energy metering device in the photovoltaic apparatus is normal is judged according to the analysis process of the step two.
According to the invention, the state parameters of the electric energy metering device in the photovoltaic equipment are obtained and analyzed, so that the health condition and the performance quality of the electric energy metering device can be evaluated, and whether the electric energy metering device runs normally or not is further judged, thereby being beneficial to timely finding and solving the problem of the electric energy metering device and improving the accuracy and the reliability of data.
Step three, acquiring electric energy data: and setting a plurality of acquisition time points when each photovoltaic device operates, and further acquiring electric energy data corresponding to each photovoltaic device at each acquisition time point, wherein the electric energy data comprises a frequency change rate and a harmonic total distortion rate.
It should be noted that, using the power quality analyzer, data acquisition was performed in the circuit of each photovoltaic device, and voltage and current waveform data of each device were recorded.
It should be noted that, frequency information is extracted from the collected voltage waveform data, the frequency can be obtained by calculating the period or the number of periods of the voltage waveform, then, the rate of change of the frequency is calculated according to the change of the collection time point, and meanwhile, the collected voltage and current waveform data are converted into frequency domain data by using fourier transform or other related algorithms. Then, by calculating the ratio of the amplitude of the harmonic component to the amplitude of the fundamental component, the harmonic total distortion can be obtained.
It should be noted that the frequency change rate= (current frequency-previous time point frequency)/time interval, the harmonic total distortion rate= (total amplitude of harmonic component)/(amplitude of fundamental component).
Fourth, analysis of electric energy stability: and according to the electric energy data corresponding to the photovoltaic devices in each acquisition time point, analyzing the electric energy data corresponding to the photovoltaic devices in each acquisition time point, and obtaining the stability evaluation coefficient corresponding to the photovoltaic devices in each acquisition time point.
In a specific embodiment, the analyzing the electrical energy data corresponding to each photovoltaic device at each collection time point specifically includes the following steps: the frequency change rate and the harmonic total distortion rate corresponding to each photovoltaic device in each acquisition time point are respectively recorded asAnd->Wherein->Numbers corresponding to each acquisition time point are indicated, < ->，/>Indicating the corresponding number of each photovoltaic device, < >>M is any integer greater than 2, p is any integer greater than 2, and the integer is substituted into a calculation formulaIn (1) to obtainStability evaluation coefficient corresponding to each photovoltaic device in each acquisition time point>Wherein->、/>Respectively setting standard frequency change rate and standard harmonic total distortion rate corresponding to the photovoltaic equipment,、/>respectively setting weight factors corresponding to the frequency change rate and the harmonic total distortion rate of the photovoltaic equipment, wherein e represents a natural constant,>and evaluating a correction factor corresponding to the coefficient for the stability of the set photovoltaic equipment.
It should be noted that the number of the substrates,、/>are all greater than 0 and less than 1.
It should also be noted that,greater than 0 and less than 1.
Fifthly, judging the electric energy stability: and judging whether the electric energy of each photovoltaic device in each acquisition time point is stable or not according to the stability evaluation coefficient corresponding to each photovoltaic device in each acquisition time point, and marking each photovoltaic device in each acquisition time point, which is judged to be unstable, as each unstable photovoltaic device.
In a specific embodiment, the determining whether the electric energy of each photovoltaic device is stable at each collection time point includes the following specific determining process: comparing the stability evaluation coefficient corresponding to each photovoltaic device in each collection time point with the stability evaluation coefficient corresponding to the set standard photovoltaic device, if the stability evaluation coefficient corresponding to a certain photovoltaic device in a certain collection time point is smaller than the stability evaluation coefficient corresponding to the set standard photovoltaic device, judging that the electric energy of the photovoltaic device in the collection time point is unstable, and if the stability evaluation coefficient corresponding to a certain photovoltaic device in a certain collection time point is larger than or equal to the stability evaluation coefficient corresponding to the set standard photovoltaic device, judging that the electric energy of the photovoltaic device in the collection time point is stable, and judging whether the electric energy of each photovoltaic device in each collection time point is stable or not in this way.
According to the invention, the plurality of acquisition time points are arranged in the photovoltaic equipment, the electric energy data are acquired, the stability analysis is carried out, and the electric energy stability of the photovoltaic equipment at different time points can be evaluated, so that the time points with poor electric energy stability can be found, corresponding measures are taken to optimize the power output, and the electric energy stability is improved.
Step six, acquiring weather forecast data: setting a plurality of weather collection time points in a future period corresponding to the current moment of each unstable photovoltaic device, and further obtaining weather forecast data corresponding to each weather collection time point in the future period of each unstable photovoltaic device, wherein the weather forecast data comprises illumination intensity, cloud quantity and rainfall.
In a specific embodiment, the weather forecast data corresponding to each acquisition time point in the future period of each unstable photovoltaic device is acquired, and the specific acquisition process is as follows: a1, acquiring a weather forecast data source by inquiring a weather bureau network.
A2, acquiring the illumination intensity, cloud quantity and rainfall corresponding to each acquisition time point in the future period of each unstable photovoltaic device through a weather forecast data source corresponding to a weather bureau network.
Step seven, analyzing weather forecast data: according to the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device is analyzed, and the weather forecast evaluation coefficient corresponding to the future period of each unstable photovoltaic device is obtained.
In a specific embodiment, the analyzing the weather forecast data corresponding to each weather collection time point in the future period of each unstable photovoltaic device specifically includes the following steps: respectively recording the illumination intensity, cloud quantity and rain quantity corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device as、/>And->Wherein->Numbers representing the correspondence of the unstable photovoltaic devices, < >>，/>Numbers corresponding to the weather collection time points are indicated, < >>N is any integer greater than 2, u is any integer greater than 2, and the integer is substituted into a calculation formula +.>Obtaining weather prediction evaluation coefficients corresponding to future periods of each unstable photovoltaic device>Wherein->、/>、/>Respectively corresponding standard illumination intensity, standard cloud cover, standard rainfall and +.>、/>、/>Respectively setting weight factors corresponding to illumination intensity, cloud quantity and rainfall in future periods of unstable photovoltaic equipment, wherein e represents a natural constant>And (5) a correction factor corresponding to the weather forecast evaluation coefficient of the future period of the set stable photovoltaic equipment.
It should be noted that the number of the substrates,、/>、/>are all greater than 0 and less than 1.
It should also be noted that,greater than 0 and less than 1.
Step eight, adjusting power: and obtaining output power adjustment values corresponding to the unstable photovoltaic devices according to weather prediction evaluation coefficients corresponding to future periods of the unstable photovoltaic devices.
In a specific embodiment, the obtaining the output power adjustment value corresponding to each unstable photovoltaic device specifically includes the following steps: comparing the weather forecast evaluation coefficient corresponding to the future period of each unstable photovoltaic device with the weather forecast evaluation coefficient corresponding to each output power adjustment value in the database, and if the weather forecast evaluation coefficient corresponding to the future period of a certain unstable photovoltaic device is the same as the weather forecast evaluation coefficient corresponding to a certain output power adjustment value in the database, taking the output power adjustment value in the database as the output power adjustment value corresponding to the unstable photovoltaic device, thereby obtaining the output power adjustment value corresponding to each unstable photovoltaic device.
According to the invention, the weather forecast data of each unstable photovoltaic device in a future period are obtained and analyzed, so that the influence of weather conditions on power output can be estimated, the power output of the photovoltaic device can be adjusted according to the predicted weather conditions, the weather change is adapted, the stability of electric energy is ensured, the power output can be flexibly adjusted according to the change of the weather conditions, the photovoltaic device can be more adapted to actual demands, and the stability and the utilization efficiency of the electric energy are improved.
The output power of the photovoltaic array can be adjusted by changing the output voltage and current of the photovoltaic array.
An embodiment of the present invention is shown in fig. 2, and a data processing system based on an electric energy metering device, including: the state parameter acquisition module is used for acquiring state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, wherein the state parameters comprise power factors and response time.
The analysis module of the state parameter is used for analyzing the state parameter corresponding to the electric energy metering device in each photovoltaic device according to the state parameter corresponding to the electric energy metering device in each photovoltaic device, obtaining the state evaluation coefficient corresponding to the electric energy metering device in each photovoltaic device, judging whether the electric energy metering device in each photovoltaic device operates normally, and sending a signal to the acquisition module of the electric energy data if the electric energy metering device in each photovoltaic device operates normally.
The acquisition module of the electric energy data is used for setting a plurality of acquisition time points when each photovoltaic device operates, and further acquiring the electric energy data corresponding to each photovoltaic device at each acquisition time point, wherein the electric energy data comprises a frequency change rate and a harmonic total distortion rate.
And the analysis module of the electric energy stability is used for analyzing the electric energy data corresponding to the photovoltaic devices in the acquisition time points according to the electric energy data corresponding to the photovoltaic devices in the acquisition time points, so as to obtain stability evaluation coefficients corresponding to the photovoltaic devices in the acquisition time points.
The judging module of the electric energy stability is used for judging whether the electric energy of each photovoltaic device in each collecting time point is stable or not according to the stability evaluation coefficient corresponding to each photovoltaic device in each collecting time point, and recording each photovoltaic device in each collecting time point for judging the unstable electric energy as each unstable photovoltaic device.
The weather forecast data acquisition module is used for setting a plurality of weather acquisition time points in a future period corresponding to the current moment of each unstable photovoltaic device, and further acquiring weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, wherein the weather forecast data comprises illumination intensity, cloud quantity and rainfall.
The weather forecast data analysis module is used for analyzing the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device according to the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, so as to obtain weather forecast evaluation coefficients corresponding to the future period of each unstable photovoltaic device.
And the power adjusting module is used for acquiring output power adjusting values corresponding to the unstable photovoltaic devices according to weather prediction evaluation coefficients corresponding to future periods of the unstable photovoltaic devices.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the invention or beyond the scope of the invention as defined in the description.
Claims (9)
1. A data processing method based on an electric energy metering device, comprising:
step one, acquiring state parameters: acquiring state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, wherein the state parameters comprise power factors and response time;
step two, analyzing state parameters: according to the state parameters corresponding to the electric energy metering devices in the photovoltaic equipment, the state parameters corresponding to the electric energy metering devices in the photovoltaic equipment are analyzed, the state evaluation coefficients corresponding to the electric energy metering devices in the photovoltaic equipment are obtained, whether the electric energy metering devices in the photovoltaic equipment operate normally or not is judged, and if the electric energy metering devices in the photovoltaic equipment operate normally, the step three is executed;
step three, acquiring electric energy data: setting a plurality of acquisition time points when each photovoltaic device operates, and further acquiring electric energy data corresponding to each photovoltaic device at each acquisition time point, wherein the electric energy data comprises a frequency change rate and a harmonic total distortion rate;
fourth, analysis of electric energy stability: according to the electric energy data corresponding to each photovoltaic device in each acquisition time point, analyzing the electric energy data corresponding to each photovoltaic device in each acquisition time point to obtain a stability evaluation coefficient corresponding to each photovoltaic device in each acquisition time point;
fifthly, judging the electric energy stability: according to the stability evaluation coefficients corresponding to the photovoltaic devices in the acquisition time points, judging whether the electric energy of the photovoltaic devices in the acquisition time points is stable or not, and marking the photovoltaic devices in the acquisition time points, which are judged to be unstable in electric energy, as unstable photovoltaic devices;
step six, acquiring weather forecast data: setting a plurality of weather collection time points in a future period corresponding to the current moment of each unstable photovoltaic device, and further obtaining weather forecast data corresponding to each weather collection time point in the future period of each unstable photovoltaic device, wherein the weather forecast data comprises illumination intensity, cloud quantity and rainfall;
step seven, analyzing weather forecast data: according to weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, analyzing the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device to obtain weather forecast evaluation coefficients corresponding to the future period of each unstable photovoltaic device;
step eight, adjusting power: and obtaining output power adjustment values corresponding to the unstable photovoltaic devices according to weather prediction evaluation coefficients corresponding to future periods of the unstable photovoltaic devices, and adjusting according to the output power adjustment values corresponding to the unstable photovoltaic devices.
2. The method for processing data based on an electric energy metering device according to claim 1, wherein the analyzing the state parameter corresponding to the electric energy metering device in each photovoltaic device comprises the following specific analysis process:
the power factor and response time corresponding to the electric energy metering device in each photovoltaic device are respectively recorded asAnd->Wherein->Indicating the corresponding number of each photovoltaic device, < >>P is any integer greater than 2, and is substituted into a calculation formulaObtaining state evaluation coefficients corresponding to the electric energy metering devices in the photovoltaic equipmentWherein->、/>Respectively setting standard power factor and standard response time corresponding to an electric energy metering device in the photovoltaic equipment, < +.>、/>Respectively setting weight factors corresponding to power factors and response time of an electric energy metering device in the photovoltaic equipment, < +.>And (5) evaluating the correction factors corresponding to the coefficients for the state of the electric energy metering device in the set photovoltaic equipment.
3. The method for processing data based on an electric energy metering device according to claim 2, wherein the specific judging process is as follows:
comparing the state evaluation coefficient corresponding to the electric energy metering device in each photovoltaic equipment with the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, judging that the electric energy metering device in the photovoltaic equipment is abnormal if the state evaluation coefficient corresponding to the electric energy metering device in a certain photovoltaic equipment is smaller than the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, and judging that the electric energy metering device in the photovoltaic equipment is normal if the state evaluation coefficient corresponding to the electric energy metering device in the certain photovoltaic equipment is larger than or equal to the state evaluation coefficient corresponding to the electric energy metering device in the set standard photovoltaic equipment, so that whether the electric energy metering device in each photovoltaic equipment is normal is judged.
4. The method for processing data based on an electric energy metering device according to claim 1, wherein the analyzing the electric energy data corresponding to each photovoltaic device in each collection time point comprises the following specific analysis process:
the frequency change rate and the harmonic total distortion rate corresponding to each photovoltaic device in each acquisition time point are respectively recorded asAnd->Wherein->Numbers corresponding to each acquisition time point are indicated, < ->，/>Indicating the corresponding number of each photovoltaic device,m is any integer greater than 2, p is any integer greater than 2, and the integer is substituted into a calculation formulaObtaining stability evaluation coefficients corresponding to the photovoltaic devices in each acquisition time point>Wherein->、/>Respectively setting standard frequency change rate and standard harmonic total distortion rate corresponding to the photovoltaic equipment>、/>Respectively setting weight factors corresponding to the frequency change rate and the harmonic total distortion rate of the photovoltaic equipment, wherein e represents a natural constant,>and evaluating a correction factor corresponding to the coefficient for the stability of the set photovoltaic equipment.
5. The method for processing data based on an electric energy metering device according to claim 4, wherein the specific determining process is as follows:
comparing the stability evaluation coefficient corresponding to each photovoltaic device in each collection time point with the stability evaluation coefficient corresponding to the set standard photovoltaic device, if the stability evaluation coefficient corresponding to a certain photovoltaic device in a certain collection time point is smaller than the stability evaluation coefficient corresponding to the set standard photovoltaic device, judging that the electric energy of the photovoltaic device in the collection time point is unstable, and if the stability evaluation coefficient corresponding to a certain photovoltaic device in a certain collection time point is larger than or equal to the stability evaluation coefficient corresponding to the set standard photovoltaic device, judging that the electric energy of the photovoltaic device in the collection time point is stable, and judging whether the electric energy of each photovoltaic device in each collection time point is stable or not in this way.
6. The method for processing data based on an electric energy metering device according to claim 1, wherein the acquiring weather forecast data corresponding to each acquisition time point in a future period of each unstable photovoltaic device comprises the following steps:
a1, acquiring a weather forecast data source by inquiring a weather bureau network;
a2, acquiring the illumination intensity, cloud quantity and rainfall corresponding to each acquisition time point in the future period of each unstable photovoltaic device through a weather forecast data source corresponding to a weather bureau network.
7. The method for processing data based on an electric energy metering device according to claim 6, wherein the analyzing the weather forecast data corresponding to each weather collection time point in the future period of each unstable photovoltaic device comprises the following specific analysis process:
respectively recording the illumination intensity, cloud quantity and rain quantity corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device as、/>And->Wherein->Numbers representing the correspondence of the unstable photovoltaic devices, < >>，/>Numbers corresponding to the weather collection time points are indicated, < >>N is any integer greater than 2, u is any integer greater than 2, and the integer is substituted into a calculation formula +.>Obtaining weather prediction evaluation coefficients corresponding to future periods of each unstable photovoltaic device>Wherein->、/>、/>Respectively corresponding standard illumination intensity, standard cloud cover, standard rainfall and +.>、/>、/>Respectively setting weight factors corresponding to illumination intensity, cloud quantity and rainfall in future periods of unstable photovoltaic equipment, wherein e represents a natural constant>And (5) a correction factor corresponding to the weather forecast evaluation coefficient of the future period of the set stable photovoltaic equipment.
8. The method for processing data based on an electric energy metering device according to claim 7, wherein the obtaining the output power adjustment value corresponding to each unstable photovoltaic device comprises the following steps:
comparing the weather forecast evaluation coefficient corresponding to the future period of each unstable photovoltaic device with the weather forecast evaluation coefficient corresponding to each output power adjustment value in the database, and if the weather forecast evaluation coefficient corresponding to the future period of a certain unstable photovoltaic device is the same as the weather forecast evaluation coefficient corresponding to a certain output power adjustment value in the database, taking the output power adjustment value in the database as the output power adjustment value corresponding to the unstable photovoltaic device, thereby obtaining the output power adjustment value corresponding to each unstable photovoltaic device.
9. A data processing system based on an electric energy metering device for performing the data processing method based on an electric energy metering device as claimed in any one of claims 1 to 8, characterized by comprising:
the system comprises a state parameter acquisition module, a power factor acquisition module and a power factor acquisition module, wherein the state parameter acquisition module is used for acquiring state parameters corresponding to an electric energy metering device in each photovoltaic device, and the state parameters comprise a power factor and response time;
the analysis module of the state parameter is used for analyzing the state parameter corresponding to the electric energy metering device in each photovoltaic device according to the state parameter corresponding to the electric energy metering device in each photovoltaic device, so as to obtain a state evaluation coefficient corresponding to the electric energy metering device in each photovoltaic device, judging whether the electric energy metering device in each photovoltaic device operates normally, and if so, sending a signal to the acquisition module of the electric energy data;
the device comprises an electric energy data acquisition module, a control module and a control module, wherein the electric energy data acquisition module is used for setting a plurality of acquisition time points when each photovoltaic device operates, and further acquiring electric energy data corresponding to each photovoltaic device at each acquisition time point, wherein the electric energy data comprises a frequency change rate and a harmonic total distortion rate;
the analysis module of the electric energy stability is used for analyzing the electric energy data corresponding to each photovoltaic device in each acquisition time point according to the electric energy data corresponding to each photovoltaic device in each acquisition time point, so as to obtain a stability evaluation coefficient corresponding to each photovoltaic device in each acquisition time point;
the judging module of the electric energy stability is used for judging whether the electric energy of each photovoltaic device in each acquisition time point is stable according to the stability evaluation coefficient corresponding to each photovoltaic device in each acquisition time point, and recording each photovoltaic device in each acquisition time point for judging that the electric energy is unstable as each unstable photovoltaic device;
the weather forecast data acquisition module is used for setting a plurality of weather acquisition time points in a future period corresponding to the current moment of each unstable photovoltaic device so as to acquire weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, wherein the weather forecast data comprises illumination intensity, cloud quantity and rainfall;
the weather forecast data analysis module is used for analyzing the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device according to the weather forecast data corresponding to each weather acquisition time point in the future period of each unstable photovoltaic device, so as to obtain weather forecast evaluation coefficients corresponding to the future period of each unstable photovoltaic device;
and the power adjusting module is used for acquiring output power adjusting values corresponding to the unstable photovoltaic devices according to weather prediction evaluation coefficients corresponding to future periods of the unstable photovoltaic devices.
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