CN106841926A - Photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms - Google Patents
Photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms Download PDFInfo
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Abstract
The present invention relates to grid-connected photovoltaic system control field, and in particular to a kind of photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms.In order to further eliminate check frequency, reduce the influence to the quality of power supply, the present invention proposes a kind of photovoltaic parallel in system isolated island method for quick based on non-blind area self adaptation AFDPF algorithms, improved positive feedback active frequency shift algorithm (AFDPF) applies less disturbance in the case of frequency is metastable, when frequency departure stable case, the positive feedback to frequency departure is introduced in disturbance, judged according to frequency departure function pair frequency shift (FS) direction before disturbance is applied, the relation of adaptive change is carried out with point of common coupling frequency by establishing positive and negative feedforward coefficient, and the improvement of the frequency departure function to positive feedback, so as to reach elimination check frequency, further increase detection efficiency, and the electric energy pollution for introducing and being caused compared with large disturbances is avoided to a certain extent.
Description
Technical field
The present invention relates to grid-connected photovoltaic system control field, and in particular to one kind is based on non-blind area self adaptation AFDPF
The photovoltaic parallel in system island detection method of algorithm.
Background technology
With the deep development of global energy strategy, the application of new energy is increasingly becoming study hotspot.Photovoltaic resources conduct
One of regenerative resource the abundantest and important clean energy resource, its development environment in short supply and severe for solving fossil energy
Problem has profound influence.The most important part of photovoltaic application is parallel network power generation.
In the application of grid-connected photovoltaic system, because the reasons such as electric fault, maloperation or natural cause cause electricity
During net interruption of power supply, each parallel network power generation node is connected with local load will be in independent operating state, this phenomenon
It is referred to as island effect.When electricity generation system is in island state, equipment can be caused to damage, the safety of influence power system is steady
Fixed operation, the production and living of the influence people.With the extensive access of photovoltaic distributed generation system, parallel network power generation system is ensured
The importance of the safe operation of system is especially prominent, and islanding problem is urgently to be resolved hurrily.
Isolated island detection is distinguished according to detection end position can be divided into the detection of power network end and inverter end is detected, wherein inverter section
Detection is by being divided into active and two kinds of detection methods of passive type.Although grid side detection method Detection results preferably, are limited
In present China's power network and the present situation of intelligent grid development, the possibility that current such method is realized is very low.Inverter side is examined
In survey, passive type isolated island detection operation principle is simple, it is easy to accomplish, but when inverter output power is close with bearing power then
, there is larger check frequency in detection failure.Comparatively, for active detection is from principle, check frequency is reduced, is carried
Detection efficiency high, greatly enhances the reliability of detection, but active detection is difficult to non-blind area and ensures electric energy
Quality is taken into account.
The content of the invention
For the further influence for eliminating check frequency, reducing to the quality of power supply, the present invention proposes a kind of based on nothing
The photovoltaic parallel in system isolated island method for quick of blind area self adaptation AFDPF algorithms.
The present invention is adopted the technical scheme that to solve the above problems：It is described based on non-blind area self adaptation AFDPF algorithms
Photovoltaic parallel in system isolated island method for quick is concretely comprised the following steps：
Step a, the frequency to photovoltaic DC-to-AC converter output current add initial disturbance；
Step b, when obtaining the point of common coupling voltage zero-cross of photovoltaic parallel in system and power network by locking phase PLL Acquisition Circuits
Electric voltage frequency fPCC, judge whether power network common point electric voltage frequency surmounts the frequency fluctuation in the case of grid-connected stable operation
Scope, if：
In fluctuation range, return to step a；
Not in fluctuation range, positive and negative feedforward gain introduces truncation function formula cf=cf0+k·sin(fPCC-fg)；
Wherein, cf0It is initial disturbance frequency, k is positive and negative feedforward gain, fPCCIt is the electric voltage frequency of PCC points, fgFor power network is specified
Frequency；
Step c, renewal frequency perturbation direction：Frequency during point of common coupling voltage zero-cross is detected according to locked PLL circuits
fPCC, utilize (fPCC-fg) symbol determine frequency shift (FS) direction, if：
fPCC-fg>=0, frequency offsets up；
fPCC-fg＜ 0, on the contrary then offset downward；
Step d, judge power network common point electric voltage frequency fPCCWhether f is metmin≤fPCC≤fmax, wherein fminAnd fmaxIt is tactile
The threshold value of power generating network frequency anomaly protection, if：
Meet, return to step a；
It is unsatisfactory for, is judged to island effect occur, trip signal is sent to inverter.
Further, the initial disturbance in the step a to power frequency addition is that truncation function is initial truncation function
That is cf0Corresponding disturbance when=0.02.
Further, situation of the grid-connected stable operation power taking net frequency stability better than 0.1% in the step b,
I.e. frequency fluctuation scope is 50Hz ± 0.05Hz.
Further, the positive and negative feedforward gain of truncation function is asserted in the step b For this
Ground load impedance angle, fgIt is power network rated frequency.
Further, frequency abnormal protection threshold value f in the step dminAnd fmaxRespectively 49.5Hz and 50.5Hz.
Beneficial effect：
First, by the relation for deriving blind area and increased disturbance obtain addition disturbance positive and negative feedforward coefficient and frequency between
Relation, and then according to the detection to point of common coupling electric voltage frequency with analysis, such that it is able to make the mode of disturbance and disturbance
The parameter of amount carries out the adjustment of rate self adaptation, once grid-connected common point electric voltage frequency is detected beyond frequency protection action threshold value
Can be determined that isolated island occurs, effectively eliminate the check frequency of conventional active frequency displacement detection, and improve to a certain extent
Detection efficiency.
Second, while parameter is realized according to frequency adaptive change, on the basis of traditional AFDPF, feedback is disturbed
Increment be changed into its initial value and obtain sine value, when feed back increment it is minimum when do not have any different, then played when feeding back increment and being larger
Reduce the effect of feedback increment, the disturbing signal avoided to a certain extent under larger feedback increment to power network causes larger
Harmonic pollution, it is certain so as to play the role of to the raising quality of power supply.
Brief description of the drawings
Fig. 1 is island detection method flow chart of the invention；
Fig. 2 is grid-connected photovoltaic system figure；
Fig. 3 is that Fig. 3 is that improved AFDPF algorithms reach power-balance in grid-connected photovoltaic system output with load consumption
When analysis of simulation result figure；
Fig. 4 is traditional AFDPF algorithms PCC when grid-connected photovoltaic system output reaches power-balance with load consumption
The analysis of simulation result figure of point voltage and grid-connected current；
Fig. 5 is that improved AFDPF algorithms are exported with load consuming power not with tradition AFDPF in grid-connected photovoltaic system
Simulation comparison analysis chart during balance；
Fig. 6 is that improved AFDPF algorithms are exported with load consuming power not with tradition AFDPF in grid-connected photovoltaic system
Harmonic contrast's analysis chart of grid-connected current during balance.
Specific embodiment
Specific embodiment one：With reference to Fig. 1 illustrate present embodiment, present embodiment based on non-blind area self adaptation
The photovoltaic parallel in system island detection method of AFDPF algorithms is as shown in figure 1, concretely comprise the following steps：
Step a, the frequency to photovoltaic DC-to-AC converter output current add initial disturbance, and the truncation function of initial disturbance is set to
cf0=0.02；
Step b, when obtaining the point of common coupling voltage zero-cross of photovoltaic parallel in system and power network by locking phase PLL Acquisition Circuits
Electric voltage frequency fPCC, judge whether power network common point electric voltage frequency surmounts the frequency fluctuation in the case of grid-connected stable operation
Scope 50Hz ± 0.05Hz, if in fluctuation range, return to step a enters circulation, to blocking if not in fluctuation range
Coefficient introduces positive feedback, i.e.,：
Cf=cf0+k·sin(fPCC-fg) (1)
Shown in positive feedback gain formula such as formula (2) in truncation function：
Wherein：It is local load impedance angle；fgIt is power network rated frequency；
Step c, renewal frequency perturbation direction：Frequency during point of common coupling voltage zero-cross is detected according to locked PLL circuits
fPCC, utilize (fPCC-fg) symbol determine frequency shift (FS) direction, if fPCC-fg>=0 frequency offsets up, otherwise then downward
Skew；
Step d, judge power network common point electric voltage frequency fPCCWhether f is metmin≤fPCC≤fmax, wherein fminAnd fmaxIt is tactile
The threshold value of power generating network frequency anomaly protection, respectively 49.5Hz and 50.5Hz；Return to step a enters circulation if meeting, if not
Meet, then illustrate that isolated island has occurred, be judged to island effect occur, trip signal is sent to photovoltaic DC-to-AC converter.
The present invention haves the shortcomings that check frequency for traditional AFDPF algorithms, and its check frequency is analyzed.Due to
When studying and testing isolated island performance, local load is generally simulated with parallel connection RLC, if it is desired to dead zone-eliminating, then need to most disliked
Accomplish fast and effectively to detect the generation of isolated island in the case of bad, also just in the resonant frequency and power network volume of fictitious load RLC
Determine frequency it is identical when, grid circuit breaker disconnect after, now at point of common coupling frequency change it is very small, by detecting that frequency is sentenced
Whether there is isolated island calmly the most difficult.According to this analysis, then f=f is requiredPCC=fgWhen the disturbance added of AFDPF algorithms make
The active frequency shift angle of inverter output current is more increased than the phase angle that RLC is loaded faster, then require：
Wherein：Shown in the phase angle such as formula (4) of RLC parallel connection fictitious loads：
The disturbance that AFDPF algorithms are added makes the active frequency shift angle of inverter output current, as shown in formula (5)：
The span of feedback oscillator when deriving detection non-blind area by formula (3), (4), (5), as shown in formula (6)：
In view of power network suspension momentIt is the value of a very little, thenThen haveSuch as formula (7)
It is shown：
Formula (7) is brought into can obtain positive and negative feedforward gain k and local load impedance angle in formula (6)Between relational expression,
As shown in formula (2), according to correspondence under different frequency, and different frequency after suspensionChange, aligning feedback oscillator k is carried out
Adjust automatically, the purpose of check frequency is eliminated so as to reach.
Present embodiment injects the problem of larger harmonic wave for disturbing signal in traditional AFDPF algorithms to power network, to cutting
Disconnected coefficient has carried out further improvement, with sin (f-fg) replace the frequency departure function Δ f=f-f of truncation function positive feedbackg。
Disturb size because the size of truncation function represents addition, thus feed back increased frequency departure function increases to a certain extent
Disturbance to power network injection, it is contemplated that regulation power system normal frequency mark according to China's power system frequency tolerance
Standard be 50Hz ± 0.2Hz, even if in the case of power system abnormal running, according to the rules mains frequency deviation should≤
1.0Hz, meets sin (f-fg) and f-fgApproximately equalised condition, thus present embodiment uses sin (f-f in the algorithmg) generation
For f-fg.The f-f in the case of stable operationg0 is essentially close to, now sin (f-fg) and f-fgNumerical value is almost identical；When frequency
In the case of there is larger skew in rate, sin (f-fg) compare f-fgValue is smaller, that is, reduces the frequency departure of truncation function
Increment, avoids introduce excessive disturbing signal to a certain extent, can the harmonic wave of effectively disturbance suppression injection power network enter one
Step increases.
Present embodiment with the addition of the link of determination frequency perturbation direction on the basis of traditional AFDPF algorithms, by sentencing
Disconnected fPCC-fg>=0 or fPCC-fg＜ 0 determines the offset direction of frequency, works as fPCC-fgWhen >=0, frequency is set to offset further up, when
fPCC-fgDuring ＜ 0, frequency is set further to offset downward, so that detection rates further increase.
Using MATLAB/Simulink according to photovoltaic parallel in system figure as shown in Figure 2, the photovoltaic generating system built
And pessimistic concurrency control, the photovoltaic parallel in system island detection method based on parameter adaptive AFDPF algorithms proposed to present embodiment
Carry out simulating, verifying.Be 2.5 according to the specified loads quality factor of IEEE 929, i.e., it is all less than or equal to 2.5 to quality factor
Load can realize that non-blind area detection meets and require, for the detection of simulation non-blind area isolated island is in " blind area, it is necessary to set simulation parameter
Center ", that is, simulation inverter output reaches active balance with load consumption --- and it is caused before and after power network decompression to fluctuate most
Small situation.It is computed, makes RLC shunt loads make its resonant frequency be equal to power network power frequency while quality factor are equal to 2.5,
It is set to reach new stable state in power network suspension back loading, frequency change is minimum, it is difficult to trigger the threshold value of frequency protection.Therefore,
Model parameter is：Equivalent source is ideal DC voltage source, is 400V；Power taking net voltage effective value 220V (peak value is 310V)；
Power network rated frequency is 50.0Hz；Filter inductance L=5mH, R=0.01 Ω；Loaded quality factor of adjusting Qf=2.5；Resonance is frequently
Rate f=50Hz；Power network disconnects in 0.1s.
Fig. 3 show improved AFDPF algorithms and reaches power-balance with load consumption in grid-connected photovoltaic system output
When analysis of simulation result figure.Fig. 3 (a) is the simulation result oscillogram of inverter output current and PCC point voltages, for ease of observation
Voltage peak in figure is reduced into the 1/4 of actual value.Fig. 3 (b) is the emulation change oscillogram of PCC point electric voltage frequencies.As a result table
Power network suspension isolated island occurs during bright 0.1s, detects that isolated island inverter disconnects in 0.198s, so as to prove the orphan under the algorithm
Island detection can effectively realize non-blind area detection.Whole isolated island detection process used time 0.098s, detection time is being met in 0.2s
Complete detection on the basis of further shorten, it is ensured that detection it is ageing.Fig. 3 (c) is positive and negative feedforward gain k in the detection algorithm
It is worth change, by analysis as can be seen that k values there occurs at 0.02 second after 0.12s to 0.14s namely occurs isolated island
Change, being changed into 0.37 turns into a larger value, and the feedback for now increasing injection disturbance increases, and is sentenced by perturbation direction in algorithm
Mechanism is determined, the perturbation direction to frequency is updated, so as to be changed into a negative side in the time range of 0.14s to 0.16s
To larger value 0.24, and then increase in frequency speedup, now feedback oscillator is reduced to the 0.037 of direction simultaneously, controls frequency
Reduce the disturbance of injection power network while skew speedup, so as to prevent causing serious dirt to power network electric energy under persistently larger disturbance
Dye.Fig. 3 (d) is the simulation analysis result of current harmonic content THD under the detection algorithm, by result it can be seen that under the algorithm
The harmonic content THD=3.44% of grid-connected current, meets IEEE 1547-2003 to exchanging requirement THD≤5% of output harmonic wave,
Illustrate that improved AFDPF algorithms can guarantee that influences in rational scope on the quality of power supply of power network.
Fig. 4 show traditional AFDPF algorithms and reaches power-balance with load consumption in grid-connected photovoltaic system output
When PCC point voltages and grid-connected current analysis of simulation result figure.Result shows there is blind area due to traditional AFDPF algorithms,
Load RLC combinations value causes that inverter is exported and reaches AFDPF algorithms isolated island detection traditional during power-balance with load consumption
Failure.
Fig. 5 show improved AFDPF algorithms with tradition AFDPF in grid-connected photovoltaic system output and load consumption work(
Simulation comparison analysis chart when rate is uneven.Fig. 5 (a), (b) are respectively improvement AFDPF and tradition AFDPF and emulate gained inverter
Output current and the simulation result oscillogram of PCC point voltages, as a result show that power network suspension isolated island occurs during 0.1s, traditional AFDPF
Algorithm detects that isolated island disconnects inverter in 0.241s, and improved AFDPF algorithms detect that isolated island disconnects in 0.182s
Inverter, the active frequency displacement algorithm after improvement will detect that duration improves 0.059s, so as to demonstrate improved AFDPF algorithms
Island phenomenon can faster be detected.
Fig. 6 show improved AFDPF algorithms with tradition AFDPF in grid-connected photovoltaic system output and load consumption work(
Harmonic contrast's analysis chart of grid-connected current when rate is uneven.Result shows, during unbalanced power situation, grid-connected electricity under traditional algorithm
The harmonic content THD=2.53% of stream, and under modified hydrothermal process grid-connected current harmonic content THD=1.59%, so as to prove
Improved AFDPF algorithms have smaller current distortion rate, reduce active frequency displacement algorithm harmonic power network is done
Disturb, the quality of power supply is improve to a certain extent.
Claims (5)
1. a kind of photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms, it is characterised in that specific
Step is：
Step a, the frequency to photovoltaic DC-to-AC converter output current add initial disturbance；
Step b, electricity when obtaining the point of common coupling voltage zero-cross of photovoltaic parallel in system and power network by locking phase PLL Acquisition Circuits
Voltage-frequency rate fPCC, judge whether power network common point electric voltage frequency surmounts the frequency fluctuation scope in the case of grid-connected stable operation,
If：
In fluctuation range, return to step a；
Not in fluctuation range, positive and negative feedforward gain introduces truncation function formula cf=cf0+k·sin(fPCC-fg)；
Wherein, cf0It is initial disturbance frequency, k is positive and negative feedforward gain, fPCCIt is the electric voltage frequency of PCC points, fgIt is the specified frequency of power network
Rate；
Step c, renewal frequency perturbation direction：Frequency f during point of common coupling voltage zero-cross is detected according to locked PLL circuitsPCC,
Utilize (fPCC-fg) symbol determine frequency shift (FS) direction, if：
fPCC-fg>=0, frequency offsets up；
fPCC-fg＜ 0, on the contrary then offset downward；
Step d, judge power network common point electric voltage frequency fPCCWhether f is metmin≤fPCC≤fmax, wherein fminAnd fmaxIt is triggering electricity
The threshold value of net frequency anomaly protection, if：
Meet, return to step a；
It is unsatisfactory for, is judged to island effect occur, trip signal is sent to inverter.
2. the photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms according to claim 1,
Characterized in that, the initial disturbance in the step a to power frequency addition is that truncation function is initial truncation function i.e. cf0=
Corresponding disturbance when 0.02.
3. the photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms according to claim 1,
Characterized in that, grid-connected stable operation power taking net frequency stability is better than 0.1% situation, i.e. frequency in the step b
Fluctuation range is 50Hz ± 0.05Hz.
4. the photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms according to claim 1,
Characterized in that, the positive and negative feedforward gain of truncation function is in the step b It is local load impedance
Angle, fgIt is power network rated frequency.
5. the photovoltaic parallel in system island detection method based on non-blind area self adaptation AFDPF algorithms according to claim 1,
Characterized in that, frequency abnormal protection threshold value f in the step dminAnd fmaxRespectively 49.5Hz and 50.5Hz.
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| CN110247433A (en) * | 2019-07-10 | 2019-09-17 | 国网河南省电力公司焦作供电公司 | A kind of grid-connected island detection method based on improvement sliding formwork shift frequency method |
| CN110649565A (en) * | 2019-10-23 | 2020-01-03 | 西南交通大学 | Protection method of regenerative braking energy feedback system of high-speed rail |
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| CN107979091B (en) * | 2017-12-19 | 2021-05-07 | 宁夏大学 | Rapid positive feedback active frequency shift type island detection method |
| CN107979091A (en) * | 2017-12-19 | 2018-05-01 | 宁夏大学 | A kind of quick positive feedback Active Frequency Drift Islanding Detection Method |
| CN108333478A (en) * | 2018-02-12 | 2018-07-27 | 哈尔滨理工大学 | A kind of island detection method that FIR bandpass filterings are combined with parameter adaptive AFDPF |
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| CN110954763B (en) * | 2019-11-11 | 2022-03-04 | 天津大学 | Micro-grid non-destructive island detection method based on harmonic current injection and harmonic impedance measurement |
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| CN111257670A (en) * | 2020-01-16 | 2020-06-09 | 中南大学 | Method for determining island detection positive feedback gain range |
| CN111257670B (en) * | 2020-01-16 | 2021-04-23 | 中南大学 | Method for determining island detection positive feedback gain range |
| CN112462181A (en) * | 2020-11-20 | 2021-03-09 | 哈尔滨理工大学 | Distributed inverter grid-connected system island detection method based on phase angle random disturbance |
| CN113030618A (en) * | 2021-03-15 | 2021-06-25 | 广东电网有限责任公司 | Island detection method and device of power generation system and power generation system |
| CN113030618B (en) * | 2021-03-15 | 2022-04-08 | 广东电网有限责任公司 | Island detection method and device of power generation system and power generation system |
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Application publication date: 20170613 |