CN109599878A - A kind of energy accumulation current converter control method towards electric energy quality optimizing demand - Google Patents
A kind of energy accumulation current converter control method towards electric energy quality optimizing demand Download PDFInfo
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- CN109599878A CN109599878A CN201811491999.9A CN201811491999A CN109599878A CN 109599878 A CN109599878 A CN 109599878A CN 201811491999 A CN201811491999 A CN 201811491999A CN 109599878 A CN109599878 A CN 109599878A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The invention discloses a kind of energy accumulation current converter control methods towards electric energy quality optimizing demand: the harmonic current of detection energy accumulation current converter output stage；By Harmonic currents detection value after nerve network controller output tracking signal, to tracking signal use the stagnant ring complex controll of multifrequency-；Signal is tracked after multifrequency controller, then pwm signal is generated by pulsewidth modulation and controls energy accumulation current converter.The present invention is based on the stagnant ring complex controlls of multifrequency-to devise energy accumulation current converter comprehensive compensation strategy, cooperates nerve network controller, and energy accumulation current converter is made to have the response speeds such as quick harmonics restraint tracking, compensation precision with higher；Based on the automatic disturbance rejection controller of energy accumulation current converter small-signal model, ratio resonant controller PI parameter is adjusted, optimize energy accumulation current converter outputs and inputs power, improves grid-connected interference rejection ability under the premise of energy-storage system stable operation, inhibits the fluctuation of grid-connected frequency；Frequency variation other moment and realize DC bus-bar voltage compensation control.
Description
Technical field
The present invention relates to a kind of power quality control technology, especially a kind of energy storage towards electric energy quality optimizing demand becomes
Flow device control method.
Background technique
As economic rapid development is so that energy crisis is increasingly severe, environment is also by unprecedented pollution.
In order to solve this case, various countries start actively to put into effect Corresponding Countermeasures, so that new cleaning fuel just receives various countries
Pay attention to.Currently, traditional fossil energy is replaced with renewable energy generate electricity and have become the main direction of development, while
In the utilization of distribution type renewable energy, micro-capacitance sensor technology occupies critically important status, is different from the main feature of conventional electric power generation
It is the randomness and intermittence of such as wind, light distributed power generation output, the safety and stability of micro-capacitance sensor can be caused
Certain influence.In recent years, energy storage device is added in micro-grid system, becomes the important link solved these problems.
Improving the power generation permeability of new energy and it is made safely and effectively to access power grid is formation and development micro-capacitance sensor technology
Core objective.Micro-capacitance sensor technology not only may be implemented important load safe operation and require power quality, when necessary, can also be positive
Ground provides the support on power.Therefore, micro-capacitance sensor utility power quality control is the key that as guarantee the above realization of goal skill
One of art, actively to the relevant technologies are promoted, so that it preferably serves the efficient collection of micro-capacitance sensor and power distribution network and promotion system
At.
The power quality of energy accumulation current converter output is mainly influenced by its Current Control Strategy, according to the basic of grid-connected current
Target should reduce the transient tracking time under the premise of reference input can be accurately tracked by meeting output electric current as far as possible, real
Now control requirement accurately and quickly.Since micro-capacitance sensor itself has many limitations, than as can the electricity accommodated is few, inertia is not
It is strong etc., while the application of the control strategies such as sagging control is added and its situations such as load is non-linear, uneven mutation, causes micro-
The power quality problems such as grid current harmonic, imbalance of three-phase voltage, Voltage Drop and frequency drift fluctuation are relative to bulk power grid
It is more prominent, how therefore, advanced control strategy is used in the case where power quality reduces, still be able to current transformer
It is while effect maintenance grid-connected output and with good performance, it is one of the importance of current domestic and foreign scholars' research.
Summary of the invention
Goal of the invention: to solve the above-mentioned problems, the invention discloses a kind of energy storage towards electric energy quality optimizing demand
Converter control method adjusts strategy using the stagnant ring complex controll output stage energy accumulation current converter power quality of multifrequency-, to improve
System Ability of Resisting Disturbance inhibits low amplitude vibrations and reduces frequency cataclysm, DC bus-bar voltage is kept to stablize.
Technical solution: to achieve the above object, the technical solution adopted by the present invention are as follows:
A kind of energy accumulation current converter control method towards electric energy quality optimizing demand, by the energy accumulation current converter by energy storage
Device is connected in parallel at micro-capacitance sensor and power distribution network points of common connection, and this method comprises the following steps:
Step 1: the harmonic current of detection energy accumulation current converter output stage obtains Harmonic currents detection value iabch；
Step 2: by different moments collected Harmonic currents detection value iabchAs the input of nerve network controller, warp
Output harmonic wave current tracking signal i after nerve network controllerabch *, signal i is tracked to harmonic currentabch *Using the stagnant ring of multifrequency-
Complex controll sets H as ring width constant:
If | iabch *|≤H enables multifrequency controller；
If | iabch *| > H first enables Hysteresis control link, then enables multifrequency controller；
Step 3: harmonic current tracks signal iabch *Pwm signal control is generated after multifrequency controller, then through pulsewidth modulation
Energy accumulation current converter processed.
Preferably, in the step 1, Harmonic currents detection process includes the following steps:
Step 11: using Clarke transform by the three-phase distribution power grid voltage u under abc coordinate systema、ub、ucBecome
The u being changed under α β two-phase stationary coordinate systemα、uβVoltage, it may be assumed that
In formula: Cabc-αβIt is current or voltage value from abc coordinate system to the conversion coefficient of α β two-phase stationary coordinate system, UnAnd θn
The respectively amplitude and initial phase of nth harmonic voltage, n are overtone order, ωoFor system nominal frequency；
Step 12: by fundamental extraction basic principle, obtaining fundametal compoment, then converted through pq, obtain fundamental voltage component
Are as follows:
In formula:For the fundamental voltage component on dq axis, U1And θ1The respectively amplitude and phase of primary harmonic voltage
Position；
Step 13: step 12It is solved by arc tangent to get θ1, then it is rightIt carries out
Parker inverse transformation, obtains:
In formula:For the fundamental voltage component on α β axis, during α β coordinate system is to dq coordinate system transformation, together
Walk rotation angle ωot+θ1Sine, cosine is directly by voltageIt indicates.
It preferably, is the response speed for improving energy-storage system, by t1And t2The Harmonic currents detection value i of moment acquisitionabchMake
For the input of nerve network controller, i.e. u1(t)、u2(t), the output of nerve network controller is y (t), i.e. harmonic current tracks
Signal iabch *, by y (t) as multifrequency-Hysteresis control switching reference data；
Nerve network controller in the step 2 includes the standard feedforward network being made of input layer-hidden layer-output layer
With the feedback arrangement composition based on accepting layer, each interlayer passes through connection weight matrix w1g、w2qy、w3jpRealize the interconnection of network；
If setting neural network input layer number of nodes as n (n=2), accepting node layer number to be equal to node in hidden layer is m, and output layer number of nodes is
1, then the input quantity for corresponding to t moment network can be denoted as ui, i=1,2 ..., n, hidden layer and the node output quantity for accepting layer are distinguished
It is denoted as xj(t)、xcq(t), the output quantity of network is denoted as y (t), remembers that the internal state of hidden layer isIt holds
Connecing the state inside layer isThen correspond to the mathematical model of neural network structure:
Terminate.
Preferably, it is described in step 2, if | iabch *| > H first enables Hysteresis control link, the use of fixed ring width is H's
Harmonic current is tracked signal i by hysteresis comparatorabch *It adjusts within the scope of ± H, then enables multifrequency controller.
Preferably, the multifrequency controller uses ratio resonant controller, it may be assumed that
Wherein: scale parameter τpn, integral parameter τinFor the PI parameter of ratio resonant controller.
Preferably, energy accumulation current converter small-signal model is established, using load disturbance and grid-connected power deviation as disturbance variable
It introduces, establishes Wopt(s) transmission function chooses the PI parameter τ of the ratio resonant controllerpnAnd τin。
Preferably, the multifrequency controller further includes automatic disturbance rejection controller, the PI of ratio resonant controller described in Self-tuning System
Parameter τpnAnd τin。
Preferably, the automatic disturbance rejection controller is PI parameters identification.
The utility model has the advantages that a kind of energy accumulation current converter control method towards electric energy quality optimizing demand provided by the invention, tool
Have the following advantages: (1) in micro-capacitance sensor, there are the perturbation features of non-linear, uneven sensibility load, are based on the stagnant ring of multifrequency-
Complex controll devises energy accumulation current converter comprehensive compensation strategy, cooperates nerve network controller, has energy accumulation current converter quick
The response speeds such as harmonics restraint tracking, and compensation precision with higher；(2) based on energy accumulation current converter small-signal model from
Disturbance rejection control device has adjusted ratio resonant controller PI parameter, and optimize energy accumulation current converter outputs and inputs power, thus storing up
Grid-connected interference rejection ability can be improved under the premise of system stable operation, inhibit the fluctuation of grid-connected frequency, at other moment of frequency variation
And realize the compensation control of DC bus-bar voltage.
Detailed description of the invention
Fig. 1 is energy accumulation current converter control principle drawing of the present invention；
Fig. 2 is Harmonic currents detection schematic diagram；
Fig. 3 is Hysteresis control schematic diagram；
Fig. 4 is neural network dynamic recursive principle figure；
Fig. 5 is PI parameter tuning schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in figs. 1 and 3, the invention discloses a kind of energy accumulation current converter controlling parties towards electric energy quality optimizing demand
Energy storage device is connected in parallel at micro-capacitance sensor and power distribution network points of common connection by method, the energy accumulation current converter, and the method includes following
Step:
Step 1: the harmonic current of detection energy accumulation current converter output stage obtains Harmonic currents detection value iabch；
Step 2: by different moments collected Harmonic currents detection value iabchAs the input of neural network, through nerve net
It is exported after network controller, i.e., harmonic current tracks signal iabch *, signal i is tracked to harmonic currentabch *It is multiple using the stagnant ring of multifrequency-
Control is closed, sets H as ring width constant:
If | iabch *|≤H enables multifrequency controller,
If | iabch *| > H first enables Hysteresis control link, then enables multifrequency controller；
For improve energy-storage system response speed, by t1And t2The Harmonic currents detection value i of moment acquisitionabchAs nerve
The input of network controller, i.e. u1(t)、u2(t), the output of nerve network controller is y (t), i.e. harmonic current tracks signal
iabch *, by y (t) as multifrequency-Hysteresis control switching reference data；With iabch *+And iabch *-Respectively indicate ANN Control
Device output harmonic wave current tracking signal iabch *Raising and lowering.
Step 3: harmonic current tracks signal iabch *Pwm signal control is generated after multifrequency controller, then through pulsewidth modulation
Energy accumulation current converter processed.
As shown in Fig. 2, the Harmonic currents detection in step 1 includes:
Step 11: using Clarke transform by the three-phase distribution power grid voltage u under abc coordinate systema、ub、ucBecome
The u being changed under α β two-phase stationary coordinate systemα、uβVoltage, it may be assumed that
In formula: UnAnd θnThe respectively amplitude and initial phase of nth harmonic voltage, n are overtone order, ωoFor system nominal frequency
Rate,
Step 12: by fundamental extraction basic principle, obtaining fundametal compoment, then converted through pq, obtain fundamental voltage component
Are as follows:
In formula:For the fundamental voltage component on dq axis, U1And θ1The respectively amplitude and phase of primary harmonic voltage
Position；
Step 13: can be obtained by formula (2)It is solved by arc tangent, θ can be obtained1, then it is right
Parker inverse transformation is carried out, can be obtained:
In formula:It is synchronous during α β coordinate system is to dq coordinate system transformation for the fundamental voltage component on α β axis
Rotation angle ωot+θ1Sinusoidal, cosine can be directly by voltageIt indicates, i.e., entire Harmonic currents detection principle: first to three
Phase distributed electrical ource electric current ia、ib、icClarke transform is carried out, the current component i in α β coordinate system is obtainedα、iβ；Then to iα、
iβPark Transformation is carried out, the current component i on dq axis is obtainedd、iq；Then harmonic wave is filtered out by fundamental extraction basic principle, obtained
Fundamental current componentIt is right againParker inverse transformation is carried out to obtainAnd respectively with iα、iβSubtract each other, obtains α β seat
The compensation electric current i containing harmonic wave in mark systemαh、iβh；Finally to iαh、iβhClarke inverse transformation is carried out, obtains distributed generation resource simultaneously
Net contains the electric current i of harmonic waveah、ibh、ich。
For improve energy-storage system response speed, by t1And t2The harmonic current (by taking a phase as an example) of moment acquisition, as mind
Input through network, i.e. u1(t)、u2(t), it exports as y (t), i.e. the tracking signal i of current harmonicsabch *, as the stagnant ring of multifrequency-
Control the reference data of switching.
As shown in figure 4, the nerve network controller in step 2 is made of input layer-hidden layer-output layer
Standard feedforward network and the feedback arrangement composition based on accepting layer, each interlayer are real by connection weight matrix w1, w2, w3
The interconnection of existing network；If setting neural network input layer number of nodes as n (n=2), accepting node layer number equal to node in hidden layer is
M, output layer number of nodes are 1, then the input quantity for corresponding to t moment network can be denoted as ui, i=1,2 ..., n, hidden layer and accept layer
Node output quantity be denoted as x respectivelyj(t)、xcq(t), the output quantity of network is denoted as y (t), remembers that the internal state of hidden layer isAccepting the state inside layer isThen correspond to the number of neural network structure
Learn model:
As shown in figure 3, in step 2, if | iabch *| > H first enables Hysteresis control link, the use of fixed ring width is H's
Harmonic current is tracked signal i by hysteresis comparatorabch *It adjusts within the scope of ± H, then enables multifrequency controller.
The multifrequency controller uses ratio resonant controller, it may be assumed that
Wherein: scale parameter τpn, integral parameter τinFor the PI parameter of ratio resonant controller.
Formula (5) is one of ratio resonant controller, referred to as PVPI, by changing proportional τ in its controlp0n
Keep dynamic property separately adjustable, so as to improve the energy accumulation current converter initial performance of PVPI control.
Multifrequency control algolithm:
Multifrequency controls output quantity UPVPI(s) it is modulated with triangular wave, that is, can produce the trigger pulse of switching device, pass through
Energy accumulation current converter composite control method, the comprehensive compensation electric current of injection power distribution network response, reaches promotion electric energy accurately and quickly
The purpose of quality.
As shown in figure 5, establishing energy accumulation current converter small-signal model, become using load disturbance and grid-connected power deviation as disturbance
Amount introduces, and establishes Wopt(s) transmission function chooses the PI parameter τ of suitable ratio resonant controllerpnAnd τin。
Further, the multifrequency controller further includes automatic disturbance rejection controller, ratio resonant controller described in Self-tuning System
PI parameter τpnAnd τin,
Further, the automatic disturbance rejection controller is PI parameters identification, and in order to enhance grid-connected frequency stability, compensation is straight
Busbar voltage is flowed, key parameter needed for effectively recognizing energy accumulation current converter multifrequency controller realizes parameter self-tuning function.
PI parameter is adjusted using energy accumulation current converter ting model model, control energy accumulation current converter exports grid-connected frequency modulation fr, maintain
DC bus-bar voltage udcStablize, method particularly includes:
Δ is enabled to indicate that the small signal under energy accumulation current converter steady operational status, subscript N indicate rated value, then energy accumulation current converter
Ting model model are as follows:
Wherein: kp、kuThe respectively sagging coefficient of frequency and voltage, dL、PlossRespectively load disturbance and grid-connected power lack
Volume, p are integral operator, subscriptThe quantity of state of expression, C are energy accumulation current converter capacitor；Based on formula, determine that selection state becomes
Amount is x=[Δ udc,uerr_dc,Δfr], disturbance variable is λ=[Δ dL,ΔPloss], input variable is μ=Δ udcN, output change
Amount is y=Δ Perr, Perr=Pb-PlossFor grid-connected power deviation, PbFor the output power of energy accumulation current converter；Then:
The state equation of energy accumulation current converter are as follows:
The output equation of energy accumulation current converter are as follows:
Y=C1x+D11λ+D12μ (10)
The input and output transmission function of energy accumulation current converter are as follows:
In formula:
C1=[0 τpn τin], D11=[0-1], D12=τin；
ΔPerrPass through transmission function Bg(s) system frequency deviation Δ f is obtainederr, then pass through W (s) acquisition DC bus electricity
Press estimated valueAccording to | | H (s) | |∞The definition of norm, has:
According to maximum modulus theorem it is found that being set up to all W (s):
||GPVPIn(s)[1-W(s)Bg(s)]||∞≥0 (13)
Meanwhile internal stability and realizability in order to guarantee system, the constraint condition that W (s) should meet are as follows:
1. W (s) is to stablize canonical；
Due to W (s) often non-canonical, to obtain more accurate Δ udc, need to increase a low-pass filter J
(s) rightHigh frequency decay, it may be assumed that
Choose β0=0.6,Generate the optimal value W of W (s)opt(s) are as follows:
Wherein: ωgFor natural resonance frequency, ξ0For damping ratio；ξ0Bigger, system frequency overshoot is smaller, and stationarity is better；
ξ0Smaller, system gain is bigger.
According to formula (6) and (13), suitable τ is chosenpn、τinMake | | GPVPI(s)S(s)||∞It minimizes, it may be assumed that
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention have the following claims and their equivalents restriction.
Claims (8)
1. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand, it is characterised in that: become by the energy storage
Energy storage device is connected in parallel at micro-capacitance sensor and power distribution network points of common connection by stream device, and this method comprises the following steps:
Step 1: the harmonic current of detection energy accumulation current converter output stage obtains Harmonic currents detection value iabch；
Step 2: by different moments collected Harmonic currents detection value iabchAs the input of nerve network controller, through nerve
Output harmonic wave current tracking signal i after network controllerabch *, signal i is tracked to harmonic currentabch *It is compound using the stagnant ring of multifrequency-
Control, sets H as ring width constant:
If | iabch *|≤H enables multifrequency controller；
If | iabch *| > H first enables Hysteresis control link, then enables multifrequency controller；
Step 3: harmonic current tracks signal iabch *Pwm signal control storage is generated after multifrequency controller, then through pulsewidth modulation
It can current transformer.
2. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand, feature exist according to claim 1
In: in the step 1, Harmonic currents detection process includes the following steps:
Step 11: using Clarke transform by the three-phase distribution power grid voltage u under abc coordinate systema、ub、ucIt is transformed to
U under α β two-phase stationary coordinate systemα、uβVoltage, it may be assumed that
In formula: Cabc-αβIt is current or voltage value from abc coordinate system to the conversion coefficient of α β two-phase stationary coordinate system, UnAnd θnRespectively
For the amplitude and initial phase of nth harmonic voltage, n is overtone order, ωoFor system nominal frequency；
Step 12: by fundamental extraction basic principle, obtaining fundametal compoment, then converted through pq, obtain fundamental voltage component are as follows:
In formula:For the fundamental voltage component on dq axis, U1And θ1The respectively amplitude and phase of primary harmonic voltage；
Step 13: step 12It is solved by arc tangent to get θ1, then it is rightCarry out Parker
Inverse transformation obtains:
In formula:For the fundamental voltage component on α β axis, during α β coordinate system is to dq coordinate system transformation, synchronous rotary
Angle ωot+θ1Sine, cosine is directly by voltageIt indicates.
3. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand, feature exist according to claim 1
In: the nerve network controller in the step 2 include the standard feedforward network being made of input layer-hidden layer-output layer and
Feedback arrangement composition based on accepting layer, each interlayer pass through connection weight matrix w1g、w2qy、w3jpRealize the interconnection of network；
If setting neural network input layer number of nodes as n, accepting node layer number to be equal to node in hidden layer is m, and output layer number of nodes is 1,
The input quantity for then corresponding to t moment network can be denoted as ui, i=1,2 ..., n, hidden layer and the node output quantity for accepting layer are remembered respectively
Make xj(t)、xcq(t), the output quantity of network is denoted as y (t), remembers that the internal state of hidden layer isIt accepts
Layer inside state beThen correspond to the mathematical model of neural network structure:
Terminate.
4. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand, feature exist according to claim 1
In: it is described in step 2, if | iabch *| > H first enables Hysteresis control link, will using the hysteresis comparator that fixed ring width is H
Harmonic current tracks signal iabch *It adjusts within the scope of ± H, then enables multifrequency controller.
5. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand according to claim 4, feature
Be: the multifrequency controller uses ratio resonant controller, it may be assumed that
Wherein: scale parameter τpn, integral parameter τinFor the PI parameter of ratio resonant controller.
6. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand according to claim 5, feature
It is: establishes energy accumulation current converter small-signal model, introduces, establish using load disturbance and grid-connected power deviation as disturbance variable
Wopt(s) transmission function chooses the PI parameter τ of the ratio resonant controllerpnAnd τin。
7. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand according to claim 6, feature
Be: the multifrequency controller further includes automatic disturbance rejection controller, the PI parameter τ of ratio resonant controller described in Self-tuning SystempnWith
τin。
8. a kind of energy accumulation current converter control method towards electric energy quality optimizing demand according to claim 7, feature
Be: the automatic disturbance rejection controller is PI parameters identification.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110289619A (en) * | 2019-07-05 | 2019-09-27 | 南京工程学院 | Energy accumulation current converter compensating control method based on grid-connected electric energy quality synthesis evaluation |
| CN110289618A (en) * | 2019-07-05 | 2019-09-27 | 南京工程学院 | A kind of grid-connected power quality compensation control method of multifunction energy storage current transformer |
| CN110429638A (en) * | 2019-07-02 | 2019-11-08 | 中国电力科学研究院有限公司 | For inhibiting the energy accumulation current converter control method and device of grid-connected current harmonic wave |
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| CN110289619A (en) * | 2019-07-05 | 2019-09-27 | 南京工程学院 | Energy accumulation current converter compensating control method based on grid-connected electric energy quality synthesis evaluation |
| CN110289618A (en) * | 2019-07-05 | 2019-09-27 | 南京工程学院 | A kind of grid-connected power quality compensation control method of multifunction energy storage current transformer |
| CN110289619B (en) * | 2019-07-05 | 2023-03-21 | 南京工程学院 | Energy storage converter compensation control method based on grid-connected electric energy quality comprehensive evaluation |
| CN110289618B (en) * | 2019-07-05 | 2023-06-20 | 南京工程学院 | Grid-connected power quality compensation control method of multifunctional energy storage converter |
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