CN107591845B - A kind of power regulating method based on big data analysis - Google Patents
A kind of power regulating method based on big data analysis Download PDFInfo
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- CN107591845B CN107591845B CN201710870950.3A CN201710870950A CN107591845B CN 107591845 B CN107591845 B CN 107591845B CN 201710870950 A CN201710870950 A CN 201710870950A CN 107591845 B CN107591845 B CN 107591845B
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- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
This application involves a kind of power regulating method based on big data analysis, the DC voltage Udc for including the following steps: (1), obtaining photovoltaic system；(2), pass through photovoltaic power setting valueAnd actual power, historical data and current data carry out big data analysis and calculate power regulation benchmark step-length；(3), according to step (1) power regulation benchmark step-length calculatedAdjust the power output of photovoltaic system.The application can control the size huge photovoltaic cell coordinated control power output according to historical data, improve power adjustment efficiency, effectively extend photovoltaic cell service life.
Description
Technical field
This application involves big data analysis technical fields, in particular to based on the power regulating method of big data analysis.
Background technique
In the prior art, big data analysis method generally comprises two classes: first is that, it relies on expertise progress manual analysis and builds
Mould, second is that, it is based on artificial intelligence approach, such as neural network method can be from the data of magnanimity by big data analysis method
The real-time dynamic of object is obtained, to accurately control according to current data of the mass data to target.
With the rapid development of photovoltaic cell technology, socially start to be widely applied using photovoltaic power generation, especially
Present photovoltaic cell starts to be applied in family, and What is more, by the photovoltaic cell of small-sized tile be layed in roof into
Row power generation, however, the photovoltaic power output of enormous amount loads, power demand is difficult to accomplish that power is steady with illumination
Adjustment.
Summary of the invention
The application proposes that can control photovoltaic cell according to big data analysis stablizes the method for carrying out power adjustment, can
The efficiency of power adjustment is improved, meanwhile, prevent the service life for extending photovoltaic cell.
To solve above-mentioned technical problem: the application proposes a kind of power regulating method based on big data analysis, including such as
Lower step:
(1), the DC voltage Udc of photovoltaic system is obtained；
(2), pass through photovoltaic power setting valueAnd actual power, historical data and current data carry out it is big
Data analytical calculation power regulation benchmark step-length；
(3), according to step (1) power regulation benchmark step-length calculatedAdjust the power output of photovoltaic system.
The power regulating method based on big data analysis, the step (3) specifically include:
(a), calculate that photovoltaic photovoltaic cell is practical issues instruction value initial value；
(b), according to photovoltaic cell photovoltaic DC voltage value and change rate in power adjustment procedure, power adjustment step is adjusted；
(c), obtain that photovoltaic cell photovoltaic is practical issues instruction value, and according to instruction value range, judge power control
Whether system terminates.
The power regulating method based on big data analysis, wherein
In the step (2), power regulation benchmark step-lengthCalculation formula it is as follows:
In formula,For photovoltaic system set value of the power,The reality at moment is issued for photovoltaic system set value of the power
Power, N are to adjust step number, can be set according to actual needs,For regulation coefficient, according to photovoltaic cell in entire photovoltaic system
History data and current operating data are set after carrying out big data analysis,To load power coefficient, past 10 days is same
The ratio of one period bearing power and current power, M are present load quantity,For illumination tensor, according to the illumination of inspection
Intensity determines.
The power regulating method based on big data analysis, wherein the regulation coefficientCalculation formula it is as follows:
Wherein,For current input photovoltaic cell quantity,It is thrown by the past 10 days same period
The quantity of the photovoltaic cell entered.
The power regulating method based on big data analysis, wherein
In the step (a), photovoltaic photovoltaic system is practical to issue instruction value initial valueCalculation formula is as follows:
In formula,For the real output of initial time photovoltaic system,For power regulation benchmark step-length.
The power regulating method based on big data analysis, wherein
In the step (b), power adjustment stepCalculation formula it is as follows:
In formula,For DC voltage gain coefficient；Function is calculated for the out-of-limit degree of DC voltage,
Return to the value not less than 0；It is walked for kth and calculates gained DC voltage change rate；For DC voltage change rate
Maximum value.Wherein, k is positive integer.N indicates the total quantity of photovoltaic cell, for the positive integer greater than 1.
Wherein, the out-of-limit degree of DC voltage calculates functionIt is expressed as follows:
In formula,It iskDC voltage sampled value when step calculates,For DC voltage upper limit value,For DC voltage lower limit value.
The power regulating method based on big data analysis, wherein
In step (c), need to adjust step-length according to calculating gainedThe range of value is modified it,
WhenWhen, showWithValue it is positive and negative different, reason is DC side
Voltage out-of-limit or voltage change ratio are out-of-limit, and power is unfit to do further adjustment at this time, are more than to set to avoid photovoltaic power
Definite value, then enable the revised adjusting step be, power control, which adjusts process, to be terminated.
The power regulating method based on big data analysis, wherein
WhenWhen, show that calculating gained adjusts step-lengthValue is greater than power setting
Be worth the difference between actual power, need to be modified to adjusting step-length, enable the revised adjusting step be, photovoltaic system is practical issues instruction value for kth step, power control adjustment process knot
Beam.
The application can carry out mass data analysis according to historical data, and it is steady to reach the current photovoltaic cell DC side of control
The purpose of output power.
Detailed description of the invention
Fig. 1 is the application photovoltaic system overall structure diagram.
Fig. 2 is the application big data analysis method schematic diagram.
Specific embodiment
The application is described in further detail with reference to the accompanying drawing, it is necessary to it is indicated herein to be, implement in detail below
Mode is served only for that the application is further detailed, and should not be understood as the limitation to the application protection scope, the field
Technical staff can make some nonessential modifications and adaptations to the application according to above-mentioned application content.
As shown in Figure 1, being the application photovoltaic system overall structure diagram, including multiple photovoltaic cells, the photovoltaic electric
Pond output end connects AD/DC, DC/DC module, power that big data analysis instrument is used to export each photovoltaic DC and entirely
The data of photovoltaic system direct current output are acquired, and carry out data analysis, send analysis structure to control device, it is described
Control device controls each photovoltaic cell and AC/DC, DC/DC module.
As shown in Fig. 2, being the application big data analysis method schematic diagram.
The application proposes a kind of power regulating method based on big data analysis, includes the following steps:
(1), the DC voltage Udc of photovoltaic system is obtained；
(2), pass through photovoltaic power setting valueAnd actual power, historical data and current data carry out it is big
Data analytical calculation power regulation benchmark step-length；
(3), according to step (1) power regulation benchmark step-length calculatedAdjust the power output of photovoltaic system.
The power regulating method based on big data analysis, the step (3) specifically include:
(a), calculate that photovoltaic photovoltaic cell is practical issues instruction value initial value；
(b), according to photovoltaic cell photovoltaic DC voltage value and change rate in power adjustment procedure, power adjustment step is adjusted；
(c), obtain that photovoltaic cell photovoltaic is practical issues instruction value, and according to instruction value range, judge power control
Whether system terminates.
The power regulating method based on big data analysis, wherein
In the step (2), power regulation benchmark step-lengthCalculation formula it is as follows:
In formula,For photovoltaic system set value of the power,The reality at moment is issued for photovoltaic system set value of the power
Power, N are to adjust step number, can be set according to actual needs,For regulation coefficient, according to photovoltaic cell in entire photovoltaic system
History data and current operating data are set after carrying out big data analysis,To load power coefficient, past 10 days is same
The ratio of one period bearing power and current power, M are present load quantity,For illumination tensor, according to the illumination of inspection
Intensity determines.
The power regulating method based on big data analysis, wherein the regulation coefficientCalculation formula it is as follows:
Wherein,For current input photovoltaic cell quantity,It is thrown by the past 10 days same period
The quantity of the photovoltaic cell entered.
The power regulating method based on big data analysis, wherein
In the step (a), photovoltaic photovoltaic system is practical to issue instruction value initial valueCalculation formula is as follows:
In formula,For the real output of initial time photovoltaic system,For power regulation benchmark step-length.
The power regulating method based on big data analysis, wherein
In the step (b), power adjustment stepCalculation formula it is as follows:
In formula,For DC voltage gain coefficient；Function is calculated for the out-of-limit degree of DC voltage,
Return to the value not less than 0；It is walked for kth and calculates gained DC voltage change rate；For DC voltage variation
Rate maximum value.Wherein, k is positive integer.N indicates the total quantity of photovoltaic cell, for the positive integer greater than 1.
Wherein, the out-of-limit degree of DC voltage calculates functionIt is expressed as follows:
In formula,It iskDC voltage sampled value when step calculates,For DC voltage upper limit value,For DC voltage lower limit value.
The power regulating method based on big data analysis, wherein
In step (c), need to adjust step-length according to calculating gainedThe range of value is modified it,
WhenWhen, showWithValue it is positive and negative different, reason is direct current
Side voltage out-of-limit or voltage change ratio are out-of-limit, and power is unfit to do further adjustment at this time, are more than to avoid photovoltaic power
Setting value, then enable the revised adjusting step be, power control, which adjusts process, to be terminated.
The power regulating method based on big data analysis, wherein
WhenWhen, show that calculating gained adjusts step-lengthValue is greater than set value of the power
Difference between actual power needs to be modified to adjusting step-length, enables the revised adjusting step be, photovoltaic system is practical issues instruction value for kth step, power control adjustment process knot
Beam.
The application can carry out mass data analysis according to historical data, and it is steady to reach the current photovoltaic cell DC side of control
The purpose of output power.
Claims (1)
1. a kind of power regulating method based on big data analysis, which comprises the steps of:
(1), the DC voltage Udc of photovoltaic system is obtained；
(2), pass through photovoltaic power setting valueAnd actual power, historical data and current data carry out big data
Analytical calculation power regulation benchmark step-length；
In the step (2), power regulation benchmark step-lengthCalculation formula it is as follows:
In formula,For photovoltaic system set value of the power,The actual power at moment is issued for photovoltaic system set value of the power,
N is to adjust step number, can be set according to actual needs,For regulation coefficient, the history according to photovoltaic cell in entire photovoltaic system is transported
Line number is set accordingly and after current operating data progress big data analysis,To load power coefficient, the past 10 days every day
The average value of same period bearing power and the ratio of current power, M are present load quantity,For illumination tensor, according to
The intensity of illumination of inspection determines；
(3), according to step (2) power regulation benchmark step-length calculatedAdjust the power output of photovoltaic system；The step
Suddenly (3) specifically include:
(a), calculate that photovoltaic cell is practical issues instruction value initial value；
(b), according to photovoltaic cell photovoltaic DC voltage value and change rate in power adjustment procedure, power adjustment step is adjusted；
(c), obtain that photovoltaic cell photovoltaic is practical issues instruction value, and according to instruction value range, judge that power control is
No end；
The calculation formula of the regulation coefficient is as follows:
Wherein,For current input photovoltaic cell quantity,For light input by the past 10 days same period
Lie prostrate the quantity of battery；
In the step (a), photovoltaic system is practical to issue instruction value initial valueCalculation formula is as follows:
In formula,For the real output of initial time photovoltaic system,For power regulation benchmark step-length；
In the step (b), power adjustment stepCalculation formula it is as follows:
In formula,For DC voltage gain coefficient；Function is calculated for the out-of-limit degree of DC voltage, is returned
Value not less than 0；It is walked for kth and calculates gained DC voltage change rate；It is maximum for DC voltage change rate
Value；Wherein, k is positive integer；N indicates the total quantity of photovoltaic cell, for the positive integer greater than 1；
Wherein, the out-of-limit degree of DC voltage calculates functionIt is expressed as follows:
In formula,It iskDC voltage sampled value when step calculates,For DC voltage upper limit value,
For DC voltage lower limit value；
In step (c), need to adjust step-length according to calculating gainedThe range of value is modified it,
WhenWhen, showWithValue it is positive and negative different, reason is DC voltage
Out-of-limit or voltage change ratio is out-of-limit, and power does not do further adjustment at this time, is more than setting value to avoid photovoltaic power,
The revised adjusting step is then enabled to be, power control, which adjusts process, to be terminated；
WhenWhen, show that calculating gained adjusts step-lengthValue is greater than set value of the power and reality
Difference between the power of border needs to be modified to adjusting step-length, enables the revised adjusting step be, photovoltaic system is practical issues instruction value for kth step, power control adjustment process knot
Beam.
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| US7603203B2 (en) * | 2006-10-09 | 2009-10-13 | Electric Power Research Institute, Inc. | Method for voltage instability load shedding using local measurements |
| CN102130631B (en) * | 2011-04-07 | 2013-10-09 | 上海威特力焊接设备制造股份有限公司 | Control method for tracking maximum power point of photovoltaic grid-connected generation |
| CN102496954A (en) * | 2011-11-24 | 2012-06-13 | 山东电力集团公司济南供电公司 | Stability judging method of grid-connected photovoltaic power station |
| CN104092436B (en) * | 2014-07-25 | 2017-03-08 | 武汉理工大学 | Photovoltaic curtain wall electric power system and method |
| CN104298297A (en) * | 2014-10-08 | 2015-01-21 | 陕西科技大学 | Tracking control method of maximum power point in photovoltaic power generation system |
| CN206402187U (en) * | 2016-12-24 | 2017-08-11 | 上海鸿布能源科技有限公司 | Be locally stored based on data and cloud storage photovoltaic combiner box |
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Effective date of registration: 20191023 Address after: 318050 Gangtai Yiding square, Tengda Road, Lubei street, Luqiao District, Taizhou City, Zhejiang Province Applicant after: Guan Yanchuan Address before: 256512 No. 249 Sanguanmiao Village Central Road, Hubin Town, Boxing County, Binzhou City, Shandong Province Applicant before: Wang Zhao |
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Effective date of registration: 20220909 Address after: No. 1, 4th Floor, Unit 1, No. 988-2, Qunli Fourth Avenue, Daoli District, Harbin City, Heilongjiang Province, 150000 Patentee after: Heilongjiang Yaolong Technology Co.,Ltd. Address before: Gangtai Yiding Plaza, Tengda Road, Lubei Street, Luqiao District, Taizhou City, Zhejiang Province, 318050 Patentee before: Guan Yanchuan |