CN106094972A - A kind of maximum power point of photovoltaic power generation system tracking based on function model - Google Patents

A kind of maximum power point of photovoltaic power generation system tracking based on function model Download PDF

Info

Publication number
CN106094972A
CN106094972A CN201610768407.8A CN201610768407A CN106094972A CN 106094972 A CN106094972 A CN 106094972A CN 201610768407 A CN201610768407 A CN 201610768407A CN 106094972 A CN106094972 A CN 106094972A
Authority
CN
China
Prior art keywords
function
delta
dutycycle
maximum power
power point
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610768407.8A
Other languages
Chinese (zh)
Other versions
CN106094972B (en
Inventor
张正文
谭文龙
包泽胜
黄翔
宋芳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hubei University of Technology
Original Assignee
Hubei University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hubei University of Technology filed Critical Hubei University of Technology
Priority to CN201610768407.8A priority Critical patent/CN106094972B/en
Publication of CN106094972A publication Critical patent/CN106094972A/en
Application granted granted Critical
Publication of CN106094972B publication Critical patent/CN106094972B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05FSYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
    • G05F1/00Automatic 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
    • G05F1/66Regulating electric power
    • G05F1/67Regulating electric power to the maximum power available from a generator, e.g. from solar cell
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Electrical Variables (AREA)

Abstract

The present invention discloses a kind of maximum power point of photovoltaic power generation system tracking based on function model, and the method mainly solves the MPPT maximum power point tracking problem in photovoltaic generating system.The present invention is with Boost circuit for photovoltaic generating system main circuit, first output voltage and the electric current of photovoltaic generating system are detected, then dutycycle disturbance step function is determined according to error and error rate, and then determining the disturbance step value of subsequent time, disturbance step function is made up of two-dimensional Gaussian function and arctan function.Algorithm often runs time delay after onceT Ms, until determining the dutyfactor value at maximum power point.The method introduces two-dimensional Gaussian function and arctan function, determine the most general a kind of dutycycle perturbation motion method, MPPT maximum power point tracking can be more precisely carried out, also provide a kind of calculating reference method for other maximum power point tracing methods based on Disturbance Model.

Description

A kind of maximum power point of photovoltaic power generation system tracking based on function model
Technical field
The present invention is that arctan function common in art of mathematics and two-dimensional Gaussian function are applied to photovoltaic generating system In MPPT maximum power point tracking technology, solve the problem that maximum power point of photovoltaic power generation system is followed the tracks of, belong to photovoltaic power generation technology neck Territory.
Background technology
Along with developing rapidly of countries in the world economy, energy problem become restriction sustainable economic development principal element it One.Solar energy is paid close attention to widely as a kind of new green energy resource, in order to utilize solar energy, solar energy to greatest extent Volt generation technology arises at the historic moment, and most important of which one technology is exactly MPPT maximum power point tracking technology.According to algorithm types Difference, the technology of main flow is divided into traditional algorithm and biological intelligence algorithm.
Wherein, traditional algorithm mainly thankss for your hospitality dynamic observational method and climbing method etc., and its essence is to utilize disturbance constantly to search for currently Moment maximum power point, but there is perturbation direction erroneous judgement thus cause following the tracks of inefficient problem in traditional algorithm.Biological intelligence Algorithm includes particle cluster algorithm, wolf pack algorithm etc., and the life habit of such algorithm simulation nature biotechnology carries out photovoltaic generation system System maximum power point global optimizing, finds the peak power of current time.Biological intelligence algorithm often amount of calculation is complicated, needs ratio Algorithm is processed by processor faster, is unfavorable for that commercial Application is promoted.Although intelligent algorithm is the most emerging Algorithm, but in commercial Application or mainly apply traditional algorithm to carry out MPPT maximum power point tracking.
Therefore, prior art is needed badly a kind of the most effective, and other traditional algorithms are had the peak power of reference significance Point-tracking method.
Summary of the invention
It is an object of the invention to: in order to solve that tradition MPPT maximum power point tracking algorithm causes by mistake when extraneous environmental change The problem sentenced, and a kind of maximum power point of photovoltaic power generation system tracking based on function model is proposed, and determine one The most general perturbation motion method.
The technical solution adopted in the present invention is: a kind of maximum power point of photovoltaic power generation system based on function model is followed the tracks of Method, it is characterised in that: photovoltaic generating system with Boost circuit as main circuit, according to photovoltaic generation power and dutycycle and Power and the relation of voltage, i.e. P-D, P-U relation curve, is 0 in the slope of curve, i.e. when dP/dD=0, dP/dU=0, now reaches At maximum power point;First described tracking detects output voltage and the electric current of photovoltaic array, then according to error and mistake Difference rate of change determines dutycycle disturbance step function, and then determines the dutycycle disturbance step value of subsequent time, and dutycycle is disturbed Dynamic step function is made up of two-dimensional Gaussian function and arctan function;Method often runs time delay Tms after once, until determining maximum Dutyfactor value at power points;Described maximum power point of photovoltaic power generation system tracking based on function model comprises as follows Step:
Step 1: the voltage U in detection k moment(k), electric current I(k), according to P(k)=U(k)I(k)Calculate current time performance number;
Step 2: definition dutycycle disturbance step function is about error E(k)With error rate Δ E(k)Function, it may be assumed that
Δ D = f ( E ( k ) , ΔE ( k ) ) = 1.4312 × ΔD max × tan - 1 ( E ( k ) - ΔE ( k ) ) γ ) × e ( - ( a ( E - α ) 2 + 2 b ( Δ E - β ) ( E - α ) + c ( Δ E - β ) 2 ) ) - - - ( 1 )
Wherein k moment errorP(k-1)、U(k-1)It is power and the magnitude of voltage in k-1 moment respectively, error Rate of change Δ E (k)=E (k)-E (k-1), E(k-1)For the error in k-1 moment, Δ DmaxLargest duty cycle disturbance step-length, α, β, γ is constant, and a, b, c can be determined by following formula:
a = cos 2 θ 2 σ E 2 + sin 2 θ 2 ( σ ΔE 0 + k | E - Δ E | ) 2
b = s i n 2 θ 4 σ E 2 + s i n 2 θ 4 ( σ ΔE 0 + k | E - Δ E | ) 2
c = sin 2 θ 2 σ E 2 + cos 2 θ 2 ( σ ΔE 0 + k | E - Δ E | ) 2
σ in formulaEK, θ are constant, determine occurrence according to trial-and-error method;
Voltage and current value according to the k moment and the performance number calculated can draw error now and error rate;
Step 3: after being determined k moment dutycycle disturbance step delta D by formula (1), dutycycle D in k+1 moment can be drawn(k+1), That is:
D(k+1)=D(k)±ΔD (2)
Wherein D(k)It it is the dutyfactor value in kth moment;
Step 4: the dutycycle disturbance step-length determined according to formula (1), calculation perturbation cycle T, setting disturbance cycle T is about accounting for The empty linear function than disturbance step-length absolute value | Δ D |, T=f (| Δ D |)=m × | Δ D |+n, wherein m and n is constant, by The method of linear fit determines occurrence;
Step 5: determine the dutycycle at maximum power point according to the relation of power and dutycycle and power and voltage, thus with Track is to peak power.
The invention has the beneficial effects as follows: the maximum power point of photovoltaic power generation system track side based on function model of the present invention Method, introduces common two-dimensional Gaussian function and arctan function to determine dutycycle disturbance step-length, with a kind of relatively simple ginseng The adjustable univeral mathematics formula of number solves the traditional algorithm problem that tracking velocity is slow when disturbance step-length is fixed, and through too much The availability of the secondary simulation results show present invention and effectiveness, it is possible to more fast and effeciently carry out MPPT maximum power point tracking.
Accompanying drawing explanation
Fig. 1 is dutycycle disturbance step function image.
Fig. 2 is the maximum power point of photovoltaic power generation system tracking block flow diagram based on function model of the present invention.
Detailed description of the invention
In order to be more fully understood that the present invention, it is further elucidated with present disclosure below in conjunction with embodiment, but the present invention Content is not limited solely to the following examples.The present invention can be made various changes or modifications by those skilled in the art, these The equivalent form of value is equally within the scope of claims listed by the application limit.
The present invention proposes a kind of maximum power point of photovoltaic power generation system tracking based on function model, and method is main Introduce two-dimensional Gaussian function common in mathematics and arctan function to determine dutycycle disturbance step function.Disturbance step-length letter Count figure as it is shown in figure 1, in this function, selecting Gaussian function to be because Gaussian function can affect the amplitude of disturbance step-length, When external environment generation acute variation, the value of E and Δ E all becomes big, and now Gaussian function can be used to avoid the mistake of dutycycle Degree change;Select arctan function to be because arctan function and can increase or reduce the change of disturbance step-length, the most permissible Improve the dynamic responding speed of MPPT, also additionally be able to be limited in the vibration near MPP thus improve the steady-state behaviour of system. Maximum power point of photovoltaic power generation system tracking framework based on function model is as shown in Figure 2.
The present invention determines dutycycle disturbance step function mainly by two-dimensional Gaussian function and arctan function, profit By the character of two functions to improve speed and the precision of MPPT maximum power point tracking, implement step refinement as follows:
Step 1: detection photovoltaic array output
Photovoltaic generating system uses Boost circuit as system main circuit, the voltage U in detection photovoltaic array k moment(k), electric current I(k), according to P(k)=U(k)I(k)Calculate k moment performance number.
Step 2: determine perturbation direction
Relatively k moment performance number P(k)With k-1 moment performance number P(k-1)And k moment magnitude of voltage U(k)With k-1 moment magnitude of voltage U(k-1), in actual applications, due toValue the least, availableApproximate EquivalentTherefore according to merit Rate and the relation of voltage, whenTime now error E(k)=0 reaches maximum power point, and concrete judgment mode is as follows:
(1)E(k)=0, reach maximum power point;
(2)E(k)> 0, D(k+1)=D(k)-ΔD;
(3)E(k)< 0, D(k+1)=D(k)+ΔD。
Step 3: determine dutycycle disturbance step function
Dutycycle disturbance step function is mainly made up of two common mathematical functions, and one is two-dimensional Gaussian function, and other one Individual is arctan function, and dutycycle disturbance step function sets as follows:
Dutycycle disturbance step function is about error E(k)With error rate Δ E(k)Function, wherein: errorP(k)And U(k)It is power and the magnitude of voltage in k moment, error rate Δ E (k)=E (k)-E (k- 1), E(k-1)Being the error in k-1 moment, therefore dutycycle disturbance step function is defined as:
&Delta; D = f ( E ( k ) , &Delta;E ( k ) ) = 1.4312 &times; &Delta;D max &times; tan - 1 ( E ( k ) - &Delta;E ( k ) &gamma; ) &times; e ( - ( a ( E - &alpha; ) 2 + 2 b ( &Delta; E - &beta; ) ( E - &alpha; ) + c ( &Delta; E - &beta; ) 2 ) ) - - - ( 1 )
Δ D in formulamaxIt is largest duty cycle disturbance step-length, takes Δ Dmax=0.05, α, β, γ are constants, respectively 0,0 and 5, a, B, c can be determined by following formula:
a = cos 2 &theta; 2 &sigma; E 2 + sin 2 &theta; 2 ( &sigma; &Delta;E 0 + k | E - &Delta; E | ) 2
b = s i n 2 &theta; 4 &sigma; E 2 + s i n 2 &theta; 4 ( &sigma; &Delta;E 0 + k | E - &Delta; E | ) 2
c = sin 2 &theta; 2 &sigma; E 2 + cos 2 &theta; 2 ( &sigma; &Delta;E 0 + k | E - &Delta; E | ) 2
σ in formulaEK, θ determine occurrence according to trial-and-error method, wherein σE=40,K=0.25,
Step 4: determine delay time T (disturbance cycle)
After photovoltaic generating system obtains a disturbance, the regular hour is needed to can be only achieved next running status, therefore Needing to arrange a time delay, setting delay function is about the linear function about dutycycle disturbance step-length absolute value | Δ D |, That is:
T=f (| Δ D |)=m × | Δ D |+n
Wherein m and n is constant, the method for linear fit determine m=1.364, n=4.975.
Step 5: the dutycycle at Maximum Power Output point
When meetingTime, the most now error E(k)When=0, the most i.e. reach maximum power point.
Last it should be noted that, above content is only in order to illustrate technical scheme, rather than the present invention is protected The restriction of scope, simple modification that technical scheme is carried out by those of ordinary skill in the art or equivalent, Spirit and scope all without departing from technical solution of the present invention.

Claims (1)

1. a maximum power point of photovoltaic power generation system tracking based on function model, it is characterised in that: photovoltaic generation system System is with Boost circuit as main circuit, according to photovoltaic generation power and dutycycle and power and the relation of voltage, i.e. P-D, P-U Relation curve, is 0 in the slope of curve, i.e. when dP/dD=0, dP/dU=0, now reaches at maximum power point;Described track side First method detects output voltage and the electric current of photovoltaic array, then determines that dutycycle disturbance walks according to error and error rate Long function, and then determine the dutycycle disturbance step value of subsequent time, dutycycle disturbance step function by two-dimensional Gaussian function and Arctan function is constituted;Method often runs time delay Tms after once, until determining the dutyfactor value at maximum power point;Described Maximum power point of photovoltaic power generation system tracking based on function model comprises the steps of:
Step 1: the voltage U in detection k moment(k), electric current I(k), according to P(k)=U(k)I(k)Calculate current time performance number;
Step 2: definition dutycycle disturbance step function is about error E(k)With error rate △ E(k)Function, it may be assumed that
&Delta; D = f ( E ( k ) , &Delta;E ( k ) ) = 1.4312 &times; &Delta;D max &times; tan - 1 ( E ( k ) - &Delta;E ( k ) ) &gamma; ) &times; e ( - ( a ( E - &alpha; ) 2 + 2 B ( &Delta; E - &beta; ) ( E - &alpha; ) + c ( &Delta; E - &beta; ) 2 ) ) - - - ( 1 )
Wherein k moment errorP(k-1)、U(k-1)It is power and the magnitude of voltage in k-1 moment respectively, error Rate of change Δ E (k)=E (k)-E (k-1), E(k-1)For the error in k-1 moment, △ DmaxLargest duty cycle disturbance step-length, α, β, γ is constant, and a, b, c can be determined by following formula:
a = cos 2 &theta; 2 &sigma; E 2 + sin 2 &theta; 2 ( &sigma; &Delta;E 0 + k | E - &Delta; E | ) 2
b = s i n 2 &theta; 4 &sigma; E 2 + s i n 2 &theta; 4 ( &sigma; &Delta;E 0 + k | E - &Delta; E | ) 2
c = sin 2 &theta; 2 &sigma; E 2 + cos 2 &theta; 2 ( &sigma; &Delta;E 0 + k | E - &Delta; E | ) 2
σ in formulaEK, θ are constant, determine occurrence according to trial-and-error method;
Voltage and current value according to the k moment and the performance number calculated can draw error now and error rate;
Step 3: after being determined k moment dutycycle disturbance step-length △ D by formula (1), dutycycle D in k+1 moment can be drawn(k+1), That is:
D(k+1)=D(k)±△D (2)
Wherein D(k)It it is the dutyfactor value in kth moment;
Step 4: the dutycycle disturbance step-length determined according to formula (1), calculation perturbation cycle T, setting disturbance cycle T is about accounting for The empty linear function than disturbance step-length absolute value | △ D |, T=f (| △ D |)=m × | △ D |+n, wherein m and n is constant, by The method of linear fit determines occurrence;
Step 5: determine the dutycycle at maximum power point according to the relation of power and dutycycle and power and voltage, thus with Track is to peak power.
CN201610768407.8A 2016-08-30 2016-08-30 A kind of maximum power point of photovoltaic power generation system tracking based on function model Active CN106094972B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610768407.8A CN106094972B (en) 2016-08-30 2016-08-30 A kind of maximum power point of photovoltaic power generation system tracking based on function model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610768407.8A CN106094972B (en) 2016-08-30 2016-08-30 A kind of maximum power point of photovoltaic power generation system tracking based on function model

Publications (2)

Publication Number Publication Date
CN106094972A true CN106094972A (en) 2016-11-09
CN106094972B CN106094972B (en) 2017-08-01

Family

ID=57224152

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610768407.8A Active CN106094972B (en) 2016-08-30 2016-08-30 A kind of maximum power point of photovoltaic power generation system tracking based on function model

Country Status (1)

Country Link
CN (1) CN106094972B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111367350A (en) * 2020-03-03 2020-07-03 南京师范大学 Photovoltaic maximum power tracking control method based on rolling small window
CN113885647A (en) * 2021-09-28 2022-01-04 上海电机学院 Self-adaptive maximum power tracking control method
CN116301183A (en) * 2023-03-06 2023-06-23 哈尔滨工业大学 Maximum power point tracking method of space power generation system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102097823A (en) * 2010-12-21 2011-06-15 山东电力集团公司烟台供电公司 Two-stage three-phase photovoltaic grid-connected system without direct-current (DC) voltage sensor and control method of system
CN102291050A (en) * 2011-08-17 2011-12-21 华北电力大学(保定) Maximum power point tracking method and device for photovoltaic power generation system
CN103823504A (en) * 2014-03-20 2014-05-28 常州工学院 Maximum power tracing control method based on least squares support vector machine
CN104484833A (en) * 2014-12-02 2015-04-01 常州大学 Photovoltaic power generation output power tracking algorithm based on genetics algorithm improved RBF-BP neural network
US20150112498A1 (en) * 2013-09-23 2015-04-23 Sureshchandra B Patel Methods of Patel Loadflow Computation for Electrical Power System

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102097823A (en) * 2010-12-21 2011-06-15 山东电力集团公司烟台供电公司 Two-stage three-phase photovoltaic grid-connected system without direct-current (DC) voltage sensor and control method of system
CN102291050A (en) * 2011-08-17 2011-12-21 华北电力大学(保定) Maximum power point tracking method and device for photovoltaic power generation system
US20150112498A1 (en) * 2013-09-23 2015-04-23 Sureshchandra B Patel Methods of Patel Loadflow Computation for Electrical Power System
CN103823504A (en) * 2014-03-20 2014-05-28 常州工学院 Maximum power tracing control method based on least squares support vector machine
CN104484833A (en) * 2014-12-02 2015-04-01 常州大学 Photovoltaic power generation output power tracking algorithm based on genetics algorithm improved RBF-BP neural network

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
唐磊 等: ""基于切线角的光伏变步长最大功率跟踪控制策略"", 《电力系统自动化》 *
薛阳 等: ""自适应变步长占空比扰动法在光伏发电MPPT中的应用"", 《上海电力学院学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111367350A (en) * 2020-03-03 2020-07-03 南京师范大学 Photovoltaic maximum power tracking control method based on rolling small window
CN113885647A (en) * 2021-09-28 2022-01-04 上海电机学院 Self-adaptive maximum power tracking control method
CN116301183A (en) * 2023-03-06 2023-06-23 哈尔滨工业大学 Maximum power point tracking method of space power generation system
CN116301183B (en) * 2023-03-06 2023-09-08 哈尔滨工业大学 Maximum power point tracking method of space power generation system

Also Published As

Publication number Publication date
CN106094972B (en) 2017-08-01

Similar Documents

Publication Publication Date Title
CN106094972A (en) A kind of maximum power point of photovoltaic power generation system tracking based on function model
Lee et al. Velocity interference in the rear rotor of a counter-rotating wind turbine
CN110009736B (en) Method, device, equipment and storage medium for establishing three-dimensional wake model
CN102213182A (en) Method for obtaining yaw error angle, yaw control method/device and wind generating set
CN103676646A (en) Method for estimating state of networked control system with random uncertainty and delay of distributed sensors
CN103823504A (en) Maximum power tracing control method based on least squares support vector machine
Doroshin et al. Open research issues on nonlinear dynamics, dynamical systems and processes
Chen et al. UAV fault detection based on GA-BP neural network
CN102566446B (en) Method for establishing full-envelope mathematical model of unmanned helicopter based on linear model group
CN104040378A (en) Weather Prediction Apparatus And Weather Prediction Method
WO2015097795A1 (en) Wind-speed evaluation method, power generation amount estimation method, output and voltage estimation method, placement method for wind power generator, and wind-speed evaluation device
CN106125816A (en) MPPT Hysteresis control algorithm based on the prediction of modified model FIR filter
CN113219478B (en) Method, device and storage medium for measuring and predicting wind speed and wind direction in fan impeller range
CN103679273A (en) Uncertainty inference method based on attaching cloud theory
CN105939014A (en) Wind power station correlation index acquisition method
CN104949357A (en) Stable tracking control method applied to trough type solar condenser
CN103605631A (en) Increment learning method on the basis of supporting vector geometrical significance
CN106873363B (en) A kind of modeling method of aircraft angle of attack signal
CN103713688B (en) Self-adaptive variable-step-size MPPT control method
Shen et al. Delay-dependent H∞ control for jumping delayed systems with two Markov processes
Witha et al. Advanced turbine parameterizations in offshore LES wake simulations
CN104238624A (en) Maximum power point tracking method and device
CN104124908B (en) The system and method for ONLINE RECOGNITION ratio of inertias
Lan et al. P-type iterative learning control of fractional order nonlinear time-delay systems
CN106951023A (en) A kind of multi-peak maximum electric power tracking and controlling method based on β parameters

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant