CN108958350A - Maximum power point of photovoltaic array track algorithm based on parameter optimization - Google Patents
Maximum power point of photovoltaic array track algorithm based on parameter optimization Download PDFInfo
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- CN108958350A CN108958350A CN201810819764.1A CN201810819764A CN108958350A CN 108958350 A CN108958350 A CN 108958350A CN 201810819764 A CN201810819764 A CN 201810819764A CN 108958350 A CN108958350 A CN 108958350A
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- photovoltaic array
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- maximum power
- power point
- parameter optimization
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05F—SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- G05F1/00—Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
- G05F1/66—Regulating electric power
- G05F1/67—Regulating electric power to the maximum power available from a generator, e.g. from solar cell
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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
The present invention relates to a kind of maximum power point of photovoltaic array track algorithm based on parameter optimization determines the optimum taking air ratio of track algorithm according to the real-time change relationship of power voltage and the circuit parameter of Boost circuit；According to the ratio of the power voltage slope of curve and electric current, the decision condition of new disturbance variable step range and perturbation direction is generated；By judging power in the difference at front and back moment and the relationship of set threshold value, the variable step disturbance observation tracking optimized using optimum taking air ratio or step-length, a kind of maximum power point of photovoltaic array track algorithm of parameter optimization is realized, for solving the problems, such as MPPT maximum power point tracking drift existing for traditional perturbation observation method and stable state concussion in photovoltaic parallel in system.In illumination variation, duty ratio is calculated using the formula of optimum taking air ratio, algorithm is made quickly to trace into the maximum power point after variation；Decision condition in conjunction with the ratio of the power voltage slope of curve and electric current as new disturbance step-length and perturbation direction, effectively improves steady oscillation problem, it is suppressed that track the generation of drift phenomenon.
Description
Technical field
The invention belongs to photovoltaic power generation technology technical fields, are related to a kind of photovoltaic array maximum power based on parameter optimization
Point track algorithm.
Background technique
Photovoltaic power generation technology is ground with the advantages that pollution-free in its power generation process, maintenance is simple as the technology attracted attention both at home and abroad
Study carefully direction, and photovoltaic cell characteristic easily affected by environment becomes whole generating efficiency to restrict photovoltaic power generation technology application
One of difficult point.It is carried out in engineering using MPPT maximum power point tracking (Maximum Power Point Tracking MPPT) technology
Adjusting in real time can be such that it operates at maximum power point, to improve the transfer efficiency of photovoltaic module.
Disturbance observation (P&O) method is one of most common MPPT algorithm, its principle is control algolithm by changing the end PV
End voltage periodically interferes photovoltaic operating point, relatively interferes the performance number of front and back PV output to change every time, according to operating point and maximum
The positional relationship of power points controls whether that perturbation direction need to be changed, to achieve the effect that MPPT maximum power point tracking.P&O method derives from
There are also increment conductance method (INC), self-oscillation method (SO) and minimum searching methods (ESO) etc. for other methods out.Above-mentioned side
MPPT maximum power point tracking can be achieved in method, but there are tracking response speed is slow, when illumination acute variation tracking drift phenomenon and
The disadvantages of maximum power point nearby easily causes oscillation in a steady-state condition.
In current open source literature, document Sher H A, Murtaza A F, Noman A, et al.A New
Sensorless Hybrid MPPT Algorithm Based on Fractional Short-Circuit Current
Measurement and P&O MPPT[J].IEEE Transactions on Sustainable Energy,2015,6
(4): 1426-1434. proposes the variable step perturbation observation method combined with short circuit current method and open circuit voltage method, and response can be improved
Time reduces oscillation, but needs multiple sensors, and higher cost limits its application range.
Summary of the invention
The object of the present invention is to provide a kind of maximum power point of photovoltaic array track algorithm based on parameter optimization, for
MPPT maximum power point tracking drift existing for traditional perturbation observation method and stable state concussion are solved the problems, such as in photovoltaic parallel in system.
In order to achieve the above object, technical scheme is as follows:
Maximum power point of photovoltaic array track algorithm based on parameter optimization, comprising the following steps:
Step 1, voltage V (t), the electric current I (t) of photovoltaic array are sampled, and calculates realtime power P (t)=V (t) * I (t),
According to the real-time change relationship of power voltage and the circuit parameter of Boost circuit, the optimum taking air ratio of track algorithm is determined；Root
According to the ratio of the power voltage slope of curve and electric current, new disturbance variable step range, and the judgement item as perturbation direction are generated
Part；
Step 2, the power deviation that photovoltaic array surrounding time occurs is calculated | P (t)-P (t-1) |, the changed power of setting
Threshold value judges that illumination changes if power deviation is greater than changed power threshold value, after optimum taking air ratio tracking variation
Maximum power point position；If power deviation is less than changed power threshold value, carried out using the variable step perturbation observation method of parameter optimization
Continue the maximum power point of tracking photovoltaic array；
Step 3, the output duty cycle obtained according to step 2 adjusts the PWM wave of controller, controls the switch of Boost circuit
Tubulose state maintains photovoltaic array at tracked optimum voltage.
Beneficial effects of the present invention:
In illumination variation, duty ratio is calculated using the formula of optimum taking air ratio, after so that algorithm is quickly traced into variation
Maximum power point；Judgement item in conjunction with the ratio of the power voltage slope of curve and electric current as new disturbance step-length and perturbation direction
Part effectively improves steady oscillation problem, it is suppressed that tracks the generation of drift phenomenon.
Detailed description of the invention
Fig. 1 is the simulation comparison figure of dpv and dpvi under different radiation conditions of the invention；
Fig. 2 is the MPPT maximum power point tracking algorithm overview flow chart of parameter optimization of the invention；
Fig. 3 is the MPPT maximum power point tracking algorithm specific flow chart of parameter optimization of the invention；
Fig. 4 is Simulation of SAR power image figure of the invention；
Fig. 5 is the Simulation of SAR power image figure of traditional variable step perturbation observation method.
Specific embodiment
Below by specific embodiment combination attached drawing, invention is further described in detail.Wherein different embodiments
Middle similar component uses associated similar element numbers.In the following embodiments, many datail descriptions be in order to
The application is better understood.However, those skilled in the art can recognize without lifting an eyebrow, part of feature
It is dispensed, or can be substituted by other elements, material, method in varied situations.In some cases, this Shen
Please it is relevant it is some operation there is no in the description show or describe, this is the core in order to avoid the application by mistake
More descriptions are flooded, and to those skilled in the art, these relevant operations, which are described in detail, not to be necessary, they
Relevant operation can be completely understood according to the general technology knowledge of description and this field in specification.
Basic ideas of the invention are: according to the real-time change relationship of power voltage and the circuit parameter of Boost circuit,
Determine the optimum taking air ratio of track algorithm；According to the ratio of the power voltage slope of curve and electric current, new disturbance variable step is generated
The decision condition of range and perturbation direction；By judging that power in the difference at front and back moment and the relationship of set threshold value, uses
Optimum taking air ratio or the variable step disturbance observation tracking of step-length optimization, realize that a kind of photovoltaic array of parameter optimization is maximum
Power points track algorithm.
Specific implementation step are as follows:
Step 1, voltage V (t), the electric current I (t) of photovoltaic array are sampled, and calculates realtime power P (t)=V (t) * I (t),
Determine the disturbance step-length and the optimum valuing range and optimum taking air ratio in disturbance period of track algorithm；
(1-1) initialization algorithm parameter acquires voltage V (t), the electric current I (t) of photovoltaic array, according to power and voltage electricity
Flow relation calculates realtime power P (t)=V (t) * I (t)；
(1-2) determines optimum taking air ratio when illumination variation.
The output power P of photovoltaic cell may be expressed as:
In maximum power point, dpv=0, the optimum load R at the momentmL=Vm/Im, then when in Boost translation circuit
When realizing MPPT, optimum taking air ratio DsIt may be expressed as:
Wherein, RLFor the load of Boost circuit, η is the transfer efficiency of Boost circuit.
(1-3) determines the value range of disturbance variable step and the Rule of judgment of perturbation direction.
D is utilized in traditional variable step P&O algorithmpvIt generates step-length, but if Spline smoothing or radiation occurs suddenly
Weaker, it cannot accurately be tracked.The ratio that the power voltage slope of curve and electric current are defined in the present invention is dpvi, tool
Body expression formula are as follows:
It is as shown in Figure 1 the d under different radiation conditionspvWith dpviComparison diagram, illuminance abrupt variation three moment (0.1s,
0.3s, 0.5s), dpviVariable quantity be less than dpv, and when mutating before and after voltage and current, dpviValue variation be far smaller than
dpv.And then the value range for disturbing variable step can be identified as:
Step 2, the Optimal Parameters of the realtime power value and disturbance observation that are obtained according to step 1, judge power offset value with
The relationship of changed power threshold value executes the variable step disturbance observation MPPT algorithm based on parameter optimization, and specific algorithm process is as schemed
Shown in 2,3；
(2-1) calculates the power deviation that photovoltaic array surrounding time occurs | P (t)-P (t-1) |, become according to the power of setting
Change threshold value, judges whether that illumination variation occurs；
(2-2) uses the optimum taking air ratio D being calculated in step 1 if power deviation is greater than changed power threshold values,
Duty cycle parameters are initialized, the maximum power point position after illumination changes is tracked；
(2-3) is carried out if power deviation is less than changed power threshold value using the variable step perturbation observation method of parameter optimization
Continue the maximum power point of tracking photovoltaic array.According to the relationship of P (t) and P (t-1), V (t) and V (t-1), d is judgedpviIt is big
It is small, using the value range for the disturbance variable step that formula (5) provides, the duty ratio that output tracking maximum power point needs.
Step 3, according to the output duty cycle of parameter optimization, the PWM wave of controller is adjusted, controls the switch of Boost circuit
Tubulose state maintains photovoltaic array at tracked optimum voltage.
As shown in Figure 4,5, MPPT algorithm and tradition are observed to use a kind of variable step of parameter optimization of the invention to disturb
The simulation result diagram of variable step disturbance observation MPPT algorithm, the present invention are observed by incorporating parametric optimization algorithm and variable step disturbance
MPPT algorithm, the voltage disturbance after tracing into maximum power point is smaller, and caused oscillation amplitude only has 1% or so, to steady
State oscillation problem has more significant improvement；When start time, intensity of illumination was uprushed, tracking velocity is improved about
0.02s is obviously improved tracking drift phenomenon.The present invention effectively improves existing for tradition disturbance observation MPPT algorithm
Steady oscillation problem also inhibits tracking drift phenomenon, and the maximum generation for enhancing photovoltaic array utilizes efficiency.
Use above specific case is illustrated the present invention, is merely used to help understand the present invention, not to limit
The system present invention.For those skilled in the art, according to the thought of the present invention, can also make several simple
It deduces, deform or replaces.
Claims (1)
1. the maximum power point of photovoltaic array track algorithm based on parameter optimization, which comprises the following steps:
Step 1, voltage V (t), the electric current I (t) of photovoltaic array are sampled, and calculates realtime power P (t)=V (t) * I (t), according to
The real-time change relationship of power voltage and the circuit parameter of Boost circuit, determine the optimum taking air ratio of track algorithm；According to function
The ratio of rate voltage curve slope and electric current generates new disturbance variable step range, and the decision condition as perturbation direction；
Step 2, the power deviation that photovoltaic array surrounding time occurs is calculated | P (t)-P (t-1) |, the changed power threshold value of setting,
If power deviation is greater than changed power threshold value, judge that illumination changes, according to the maximum after optimum taking air ratio tracking variation
Power points position；If power deviation is less than changed power threshold value, continued using the variable step perturbation observation method of parameter optimization
The maximum power point of tracking photovoltaic array；
Step 3, the output duty cycle obtained according to step 2 adjusts the PWM wave of controller, controls the switch tubulose of Boost circuit
State maintains photovoltaic array at tracked optimum voltage.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111404141A (en) * | 2020-03-30 | 2020-07-10 | 湖南大学 | Control method and system for restraining output oscillation of photovoltaic converter in direct-current power grid |
| CN113162019A (en) * | 2021-04-15 | 2021-07-23 | 中国石油大学(北京) | Photovoltaic power generation system and control method thereof |
| CN114879807A (en) * | 2022-06-14 | 2022-08-09 | 北京理工大学 | Method for tracking maximum power point of thermoelectric generation under temperature transient change |
| CN117055685A (en) * | 2023-10-12 | 2023-11-14 | 深圳鹏城新能科技有限公司 | MPPT optimization processing method and device, storage medium and electronic equipment |
| CN117154851A (en) * | 2023-10-24 | 2023-12-01 | 国网浙江省电力有限公司宁波供电公司 | Photovoltaic output control method based on spatial domain, electronic equipment and medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102289240A (en) * | 2011-05-13 | 2011-12-21 | 中国电子科技集团公司第三十六研究所 | Improved incremental conductance method for realizing maximum power point tracking of solar cell |
| CN102403928A (en) * | 2010-12-27 | 2012-04-04 | 董密 | Maximum power point tracking control method and system thereof of photovoltaic electrical energy optimization |
| KR20140071028A (en) * | 2012-12-03 | 2014-06-11 | 엘지이노텍 주식회사 | Power conversion device, photovoltaic generation system and control method thereof |
| CN106125817A (en) * | 2016-08-30 | 2016-11-16 | 三门峡速达节能新能源科技研究院 | A kind of photovoltaic MPPT method based on photovoltaic cell four parameter model |
-
2018
- 2018-07-24 CN CN201810819764.1A patent/CN108958350A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102403928A (en) * | 2010-12-27 | 2012-04-04 | 董密 | Maximum power point tracking control method and system thereof of photovoltaic electrical energy optimization |
| CN102289240A (en) * | 2011-05-13 | 2011-12-21 | 中国电子科技集团公司第三十六研究所 | Improved incremental conductance method for realizing maximum power point tracking of solar cell |
| KR20140071028A (en) * | 2012-12-03 | 2014-06-11 | 엘지이노텍 주식회사 | Power conversion device, photovoltaic generation system and control method thereof |
| CN106125817A (en) * | 2016-08-30 | 2016-11-16 | 三门峡速达节能新能源科技研究院 | A kind of photovoltaic MPPT method based on photovoltaic cell four parameter model |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111404141A (en) * | 2020-03-30 | 2020-07-10 | 湖南大学 | Control method and system for restraining output oscillation of photovoltaic converter in direct-current power grid |
| CN111404141B (en) * | 2020-03-30 | 2023-04-25 | 湖南大学 | Control method and system for inhibiting output oscillation of photovoltaic converter in direct-current power grid |
| CN113162019A (en) * | 2021-04-15 | 2021-07-23 | 中国石油大学(北京) | Photovoltaic power generation system and control method thereof |
| CN114879807A (en) * | 2022-06-14 | 2022-08-09 | 北京理工大学 | Method for tracking maximum power point of thermoelectric generation under temperature transient change |
| CN114879807B (en) * | 2022-06-14 | 2023-02-03 | 北京理工大学 | Method for tracking maximum power point of thermoelectric generation under temperature transient change |
| CN117055685A (en) * | 2023-10-12 | 2023-11-14 | 深圳鹏城新能科技有限公司 | MPPT optimization processing method and device, storage medium and electronic equipment |
| CN117055685B (en) * | 2023-10-12 | 2024-01-23 | 深圳鹏城新能科技有限公司 | MPPT optimization processing method and device, storage medium and electronic equipment |
| CN117154851A (en) * | 2023-10-24 | 2023-12-01 | 国网浙江省电力有限公司宁波供电公司 | Photovoltaic output control method based on spatial domain, electronic equipment and medium |
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