CN110350538A - A kind of micro-grid coordination control method based on active Demand Side Response - Google Patents
A kind of micro-grid coordination control method based on active Demand Side Response Download PDFInfo
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- CN110350538A CN110350538A CN201910720565.XA CN201910720565A CN110350538A CN 110350538 A CN110350538 A CN 110350538A CN 201910720565 A CN201910720565 A CN 201910720565A CN 110350538 A CN110350538 A CN 110350538A
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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Abstract
The invention discloses a kind of micro-grid coordination control methods based on active Demand Side Response, method includes the following steps: step 1: the voltage by changing non-critical loads, to control the power consumption of non-critical loads, the power-consumption curve of non-critical loads is set to follow the synchronous variation of the power generation curve of new energy unit, to absorb the power swing as caused by generation of electricity by new energy；The non-critical loads are that can operate normally the electrical equipment under a certain amount of voltage fluctuation；Step 2: the busbar voltage of real-time tracking micro-grid system stablizes busbar voltage by adjusting the reactive power output of generation of electricity by new energy unit.The present invention can promote the storage collaboration optimization operation of the micro-capacitance sensor source net lotus under island operation state, reduce the capacity requirement of energy storage device, effectively promote the economy and stability of micro-capacitance sensor.
Description
Technical field
The present invention relates to micro-capacitance sensor technical fields, and in particular to a kind of micro electric network coordination control based on active Demand Side Response
Method processed.
Background technique
Distributed new power generation can effectively solve the problems, such as power distribution network capacity of distribution transform deficiency, terminal temperature difference brownout,
Generation of electricity by new energy simultaneously has preferable economy due to its renewable and free of contamination advantage.But generation of electricity by new energy is being in
Great challenge also is brought to the safe and stable operation of power grid and power quality while existing numerous good characteristics, wherein typically
Problem is the uncertainty and randomness of generation of electricity by new energy, and this feature can lead to voltage and frequency fluctuation, makes the electric energy matter of power grid
The trend of more complicatedization is presented in amount problem.
Micro-capacitance sensor refers to by groups such as distributed generation resource, energy storage device, energy conversion device, load, monitoring and protective devices
At small-sized electric system, wherein energy storage device application can effectively solve the grid-connected bring power of distributed new and electricity
Fluctuation problem is pressed, promotes power distribution network to the digestion capability of new energy.
Micro-capacitance sensor is the key link for constructing wisdom energy system and urban energy internet, with new energy installed capacity
Promotion, micro-capacitance sensor needs have plug and play and isolated island/grid-connected seamless switching characteristic, and energy storage device is to guarantee micro-capacitance sensor
The core equipment of isolated island seamless switching, but lead to micro-capacitance sensor since energy storage device is expensive at present and do not have and is widely available.
Summary of the invention
The object of the present invention is to provide a kind of micro-grid coordination control methods based on active Demand Side Response, to promote orphan
Micro-capacitance sensor source net lotus storage collaboration optimization operation under the operating status of island, reduces the capacity requirement of energy storage device, effectively promotes micro- electricity
The economy and stability of net.
In order to achieve the above objectives, the present invention provides a kind of micro electric network coordination controlling parties based on active Demand Side Response
Method comprising following steps:
Step 1: the voltage by changing non-critical loads makes non-key negative to control the power consumption of non-critical loads
The power-consumption curve of load follows the synchronous variation of the power generation curve of new energy unit, to absorb the function as caused by generation of electricity by new energy
Rate fluctuation；The non-critical loads are that can operate normally the electrical equipment under a certain amount of voltage fluctuation；
Step 2: the busbar voltage of real-time tracking micro-grid system, the reactive power by adjusting generation of electricity by new energy unit are defeated
Stable busbar voltage out.
The above-mentioned micro-grid coordination control method based on active Demand Side Response, wherein step 1 by with the non-pass
The intelligent load controller of key load in series is realized；The intelligent load controller is the voltage-source type inversion based on current control
Device.
The above-mentioned micro-grid coordination control method based on active Demand Side Response, wherein the intelligent load controller
Control system include phase control loop and amplitude control loop；
In phase control loop, intelligent load controller locks the phase of intelligent load electric current I0 by phaselocked loop
Angle exports intelligent load controller voltage V by phase angle calculator then on the basis of the phase angle of I0SLPhase angle, make
VSLWith I0Keep 90 degree of phase difference；
In amplitude control loop, intelligent load controller calculates bus current I firstSVirtual value and it is asked
It leads, derivation result is then subjected to first time judgement, if derivation result is greater than 0, control VSLPhase angular lag I0Phase angle
90 degree；If derivation result controls V less than 0SLPhase angular advance I090 degree of phase angle；After once determining, ISDerivation
As a result it will carry out determining that the control signal of secondary judgement is non-critical loads voltage V second0If V0Virtual value in permission
In range, then I is continued to outputSDerivation as a result, if V0Virtual value be more than allow deviation range, then export 0；It is secondary to sentence
The output signal for determining device eventually passes through the calculating final output V of pi controllerSLAmplitude；Last VSLPhase angle letter
Number and amplitude signal by synthesis, input intelligent load controller inverter in, realize VSLPhysics output.
The above-mentioned micro-grid coordination control method based on active Demand Side Response, wherein step 2 is by being installed on new energy
The intelligent inverter of source unit output end is realized.
The above-mentioned micro-grid coordination control method based on active Demand Side Response, wherein in the intelligent inverter
In control system, pass through Park Transformation first for new energy source machine bank branch current IRIt is decomposed into active component IRdAnd reactive component
IRq；Then I is calculated by active power controller and Reactive Power ControlRdAnd IRqReference value, wherein active power controller is defeated
Enter the voltage signal VDC that signal is intelligent inverter DC capacitor, then by calculating VDCWith its nominal reference VDC_REFDifference
Value obtains the departure of inverter DC terminal voltage, carries out proportional integration to the departure and new energy unit branch electricity is calculated
Flow IRActive component reference value Id_ref；The input signal of Reactive Power Control is busbar voltage VS, then by calculating VSWith
Its nominal reference VS_REFDifference obtain the departure of busbar voltage, to the departure carry out proportional integration new energy is calculated
Source machine bank branch current IRReactive component reference value Iq_ref；Finally calculate IRd、IRqAnd Id_ref、Iq_refDifference, and by difference
Input proportional integration calculator obtains the control signal of intelligent inverter, the final electric current output for realizing intelligent inverter.
Compared with the existing technology, the invention has the following advantages:
Integrated control method provided by the present invention can make full use of the regulating power of non-critical loads, by utilizing part
Non-critical loads absorb the output pulsation of new energy unit, reduce dependence of the micro-capacitance sensor to large capacity energy storage device, although using
The control method can have some impact on the voltage stability of micro-capacitance sensor, but transfer new energy by installation intelligent inverter
The idle resource of unit can control voltage disturbance in reasonable range, to the safe and stable operation of micro-capacitance sensor and internal unit
Have no negative effect.
Detailed description of the invention
Fig. 1 is micro-capacitance sensor structure chart；
Fig. 2 is simplified intelligent load circuit figure；
Fig. 3 is micro-grid system architecture diagram；
Fig. 4 is micro-grid system tidal current chart；
Fig. 5 is intelligent inverter topology diagram；
Fig. 6 is the simple control flow of intelligent load controller；
Fig. 7 is new energy unit intelligent inverter control flow chart；
Fig. 8 is energy storage device realtime power curve；
Fig. 9 is energy storage device real time electrical quantity curve；
Figure 10 is micro-capacitance sensor power curve；
Figure 11 is non-critical loads power-consumption curve；
Figure 12 is critical loads voltage curve；
Figure 13 is non-critical loads voltage curve.
Specific embodiment
Below in conjunction with attached drawing, by specific embodiment, the invention will be further described, these embodiments are merely to illustrate
The present invention is not limiting the scope of the invention.
The control method of micro-capacitance sensor proposed by the present invention will be sent out comprising two crucial control devices namely for new energy
The intelligent inverter of motor group and intelligent load controller for load-side, specific system structure are as shown in Figure 1.
1.1 intelligent load controllers
Intelligent load controller is the core component of active Demand Side Response control method, micro-capacitance sensor shown in Fig. 1
In system, all loads are divided into critical loads and non-critical loads, wherein critical loads need burning voltage to supply
Electrical equipment, non-critical loads are the electrical equipment that can be operated normally under a certain amount of voltage fluctuation, including air-conditioning, electric ice
Case, boiler, refrigerator etc..Intelligent load controller is one based on the voltage source inverter by current control, the inverter
Filter capacitor and non-critical loads novel intelligent support structures directly in series.The basic functional principle of intelligent load controller
It is the voltage by changing filter condenser both ends, sending or absorbing reactive power to change the voltage of non-critical loads, with reality
Dynamic regulation now is carried out to non-critical loads power consumption, the power curve of non-critical loads is made to follow the power generation of new energy unit
The synchronous variation of curve, absorbs the power swing as caused by generation of electricity by new energy, being finally reached reduces capacity of energy storing device demand
Purpose.
Simplification circuit comprising intelligent load controller is as shown in Fig. 2, the circuit is reduced to electricity comprising a power supply, one
The intelligent load controller of potential source, a non-critical loads and a critical loads, it is assumed that all loads are that pure resistance is negative
It carries.
The voltage vector formula of Fig. 2 circuit are as follows:
Wherein,It is supply voltage,It is non-critical loads voltage,It is the output voltage of intelligent load controller.
The power-balance formula of the circuit can be expressed as:
Wherein, PinIt is the input power of power supply, R1And R2It is the resistance value of non-critical loads and critical loads, P respectively1With
P2It is the power consumption of non-critical loads and critical loads respectively.
It can be obtained by formula (2), (V when the operation of intelligent load controllerSLIt >=0), can be defeated by changing itself
The size of voltage controls the power consumptions of non-critical loads out.Next by intelligent load controller application in a micro-capacitance sensor
In system, which includes a conventional power generation unit, a generation of electricity by new energy unit, a set of energy storage device, a set of
The intelligent load and a set of critical loads be made of intelligent load controller and non-critical loads, micro-grid system framework is such as
Shown in Fig. 3, trend is as shown in Figure 4.
The power-balance formula of micro-grid system in Fig. 4 are as follows:
PG+PR+PS=P1+P2 (3)
Wherein, PGIt is the output power of conventional power unit, PRIt is the output power of new energy unit, P1It is the function of intelligent load
Rate consumption, P2It is the power consumption of critical loads, PSIt is the output power of energy storage device, works as PSEnergy storage device is represented when greater than 0 to exist
Electric discharge, works as PSEnergy storage device is represented when less than 0 to charge.
Formula (3) is rearranged, with the output power P of energy storage deviceSFormula (4) can be obtained for target value:
PS=-PG-PR+P1+P2 (4)
Assuming that the power consumption of intelligent load is when intelligent load controller is closedWhen intelligent load controller
When starting operation, the power consumption of intelligent load isThen in same period T, energy storage device under both of these case
Capacity requirement is respectively as follows:
Wherein,It is the capacity requirement of energy storage device in the case that intelligent load controller is closed,It is that intelligence is negative
Set controller opens the capacity requirement of energy storage device under operating condition.
Using formula (5) and formula (6), it is not difficult to obtain the difference of capacity of energy storing device demand under both of these case are as follows:
Since non-critical loads are pure resistance linear loads, in conjunction with Fig. 2 and formula (2) it is not difficult to find that ought intelligently bear
When set controller is closed, the voltage V0 of non-critical loads is equal to supply voltage VS, non-when intelligent load controller, which starts, to be run
The voltage V0 of critical loads is equal toMeanwhile because intelligent load controller only output reactive power itself, institute
The active power consumption of non-critical loads is equal to only portative active power consumption, then under two kinds of different operating conditions,
The power consumption of intelligent load is respectively as follows:
It is not difficult to obtain by comparing formula (8) and formula (9):
Therefore, it can further be obtained in conjunction with formula (7) and formula (10):
Formula (11) demonstrates, and as the starting of intelligent load controller is run, can reduce energy storage in micro-grid system
The capacity requirement of device, and then improve the economy of micro-grid system.
1.2 intelligent inverter
In micro-grid system shown in Fig. 1 comprising intelligent load, the not only unstability of new energy unit output power
It will lead to the fluctuation of busbar voltage with intermittence, the reactive power of intelligent load controller output is also by extreme influence busbar voltage
Stabilization, the operation of the critical loads in system is adversely affected.For Voltage-stabilizing Problems, the invention proposes one kind
Be installed on the intelligent inverter of new energy unit output end, the intelligent inverter can real-time tracking micro-grid system bus electricity
Pressure realizes the control to busbar voltage by adjusting the reactive power output of generation of electricity by new energy unit.
The topological structure of intelligent inverter is as shown in figure 5, its idle fan-out capability for taking full advantage of new energy unit, leads to
Dynamic reactive compensation is crossed to stablize busbar voltage.
2. control strategy
This control method mainly passes through the coordinated control of intelligent load controller and intelligent inverter, realizes and reduces energy storage dress
Set the purpose of capacity requirement.
2.1 intelligent load controllers
Intelligent load controller can regard a controlled voltage source as, and control flow is as shown in Figure 6.Its control target is
The non-critical loads voltage of series connection with it, working principle is the voltage by changing non-critical loads, to control non-critical loads
Power consumption, the output power curve for making the power-consumption curve of non-critical loads follow generation of electricity by new energy unit changes, most
Achieve the purpose that reduce capacity of energy storing device demand eventually.
The control system of intelligent load controller is divided into two control loops, is phase control loop and amplitude control respectively
Circuit.In phase control loop, controller locks intelligent load electric current I by phaselocked loop0Phase angle, then with I0's
On the basis of phase angle, intelligent load controller voltage V is exported by phase angle calculatorSLPhase angle, make VSLWith I0Keep 90
The phase difference of degree.In amplitude control loop, controller calculates the virtual value of bus current IS first and carries out derivation to it, so
Derivation result is subjected to first time judgement afterwards, if derivation result is greater than 0, illustrates that new energy unit output power increases, at this time
Control VSLPhase angular lag I090 degree of phase angle, controller are in capacitive, can promote non-critical loads voltage V0And then increase
The power consumption of non-critical loads controls V if derivation result less than 0, illustrates that new energy unit output power is reduced at this timeSL
Phase angular advance I090 degree of phase angle, controller can reduce non-critical loads voltage V in perception0And then it reduces non-key negative
The power consumption of load；After once determining, ISDerivation result will input secondary decision-making system, the control signal of secondary judgement
For non-critical loads voltage V0If V0Virtual value (general non-critical loads voltage deviation range in allowed limits
0.8p.u.≤V0≤ 1.2p.u.), then secondary judging device continues to output ISDerivation as a result, if V0Virtual value be more than allow
Deviation range, then secondary judging device output 0；The output signal of secondary judging device eventually inputs proportional integration (PI) control
Device, by the calculating final output V of pi controllerSLAmplitude；Last VSLPhase angle signal and amplitude signal pass through
Synthesis inputs in the inverter of intelligent load controller, realizes VSLPhysics output.
2.2 intelligent inverter
The simple control flow of the intelligent inverter of generation of electricity by new energy unit is as shown in fig. 7, intelligent inverter can be real-time
Bus voltage value is tracked, the stability of busbar voltage is promoted by dynamic passive compensation.
In the control system of intelligent inverter, pass through Park Transformation first for new energy source machine bank branch current IRIt is decomposed into
Active component IRdWith reactive component IRq.Then I is calculated by active power controller and Reactive Power ControlRdAnd IRqReference value,
Wherein the input signal of active power controller is the voltage signal V of intelligent inverter DC capacitorDC, then by calculating VDCWith
Its nominal reference VDC_REFDifference obtain the departure of inverter DC terminal voltage, to the departure carry out proportional integration meter
Calculation obtains new energy source machine bank branch current IRActive component reference value Id_ref；The input signal of Reactive Power Control is bus
Voltage VS, then by calculating VSWith its nominal reference VS_REFDifference obtain the departure of busbar voltage, to the departure
It carries out proportional integration and new energy source machine bank branch current I is calculatedRReactive component reference value Iq_ref.Finally calculate IRd、IRqWith
Id_ref、Iq_refDifference, and difference input proportional integration calculator is obtained into the control signal of intelligent inverter, it is final to realize
The electric current of intelligent inverter exports.
3. specific embodiment
One simplified micro-grid system will be used to verify comprehensive coordination control strategy proposed by the present invention, micro-grid system
Structure is consistent with Fig. 1, and all data and result of this experiment pass through the acquisition of the Simulink emulation platform in MATLAB.Wherein
The intelligent inverter of intelligent load controller and new energy unit is respectively used to bearing power control and busbar voltage control.This is
The rated value for busbar voltage of uniting is 220V, and in electricity consumption side, the load of the system includes critical loads and non-critical loads, and two classes are negative
The rated power of load is all 4kW, power factor 0.97, intelligent load controller and non-critical loads directly in series one
Set can active response intelligent load system；For electrical measurement, the power supply of the system is by the conventional electric generators of 7kVA and one
The new energy unit of 3kVA is constituted, and wherein new energy unit includes a set of intelligent inverter, an ideal energy storage device model
It is connected in parallel on bus, can be used for charging and discharging the power-balance to maintain isolated island micro-capacitance sensor.
Experimental result is as shown in Fig. 8 to Figure 13, and during the test, intelligent load controller passes through control non-critical loads
Consumption realize reduce capacity of energy storing device demand purpose, intelligent inverter then can pass through control new energy unit it is idle
Power output stablizes the busbar voltage of micro-capacitance sensor.In order to verify the effect of control method of the present invention, experimental result contains use
With two kinds of situations of unused integrated control method, wherein blue curve is represented using the experiment knot in the case of integrated control method
Fruit, green curve represent the experimental result being not used in the case of integrated control method.
It can be seen that the charge and discharge of energy storage device when micro-capacitance sensor is using integrated control method by comparing Fig. 8 and Fig. 9
Power and real time electrical quantity are all lower, this is because the dynamic reactive power compensation function of intelligent load controller, changes non-pass
The voltage of key load, and then make the power consumption of non-critical loads that power supply curve be followed to change in same trend, utilization is non-key
Power disturbance caused by load absorption new energy unit reduces the real-time discharge and recharge of energy storage device, is equivalent to direct reduction
To the capacity requirement of energy storage device.
By observing Figure 10 and Figure 11, it is seen that in Figure 10, due to the unstability of new energy unit output, micro- electricity
The output power of the power supply of net has stronger fluctuation, but after having used comprehensively control method, it is as shown in Figure 11, non-
The power consumption of critical loads follows the synchronous variation of the power output of power supply, has further confirmed energy storage device charge and discharge in Fig. 8
Under powered reason.
The quality of voltage of critical loads and non-critical loads, Figure 12 ratio in the case where Figure 12 and Figure 13 compared two kinds of test cases
Compared with the voltage of critical loads, since critical loads are directly parallel on micro-capacitance sensor bus, critical loads voltage is equal to micro-
Power grid busbar voltage, when using integrated control method, the voltage fluctuation of critical loads, which is significantly greater than to be higher than, is not used comprehensive control
The case where method processed, this is because the power that the dynamic reactive output of intelligent load controller is only used for control non-critical loads disappears
Consumption, it is therefore possible to be further amplified by new energy unit bring voltage fluctuation, but intelligent inverter can be for this fluctuation
Reactive compensation is carried out, the operation bring voltage fluctuation due to intelligent inverter is stabilized, finally controls the voltage of critical loads
In ± 5% allowed band；In Figure 13, it is seen that after using integrated control method, the voltage wave of non-critical loads
It is dynamic to be much higher than the case where integrated control method is not used, because intelligent load controller is real by the voltage for changing non-critical loads
Now to the control of non-critical loads power consumption, and then new energy unit output bring power swing is absorbed, reduces energy storage dress
The charge-discharge electric power set.
In conclusion a kind of micro-grid coordination control method based on active Demand Side Response proposed by the invention, fills
Divide the available resources for having excavated electric power demand side, power quality problem is administered on the spot in user side, pushes and be based on user
Load or the pressure regulation means application of distributed generation resource active response technology, carry out coordination improvement to voltage problem in different level,
Demand of the micro-capacitance sensor to capacity of energy storing device is reduced, the stability and economy of micro-grid system are improved.
It is discussed in detail although the contents of the present invention have passed through above preferred embodiment, but it should be appreciated that above-mentioned
Description is not considered as limitation of the present invention.After those skilled in the art have read above content, for of the invention
A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (5)
1. a kind of micro-grid coordination control method based on active Demand Side Response, which comprises the following steps:
Step 1: the voltage by changing non-critical loads makes non-critical loads to control the power consumption of non-critical loads
Power-consumption curve follows the synchronous variation of the power generation curve of new energy unit, to absorb the power waves as caused by generation of electricity by new energy
It is dynamic；The non-critical loads are that can operate normally the electrical equipment under a certain amount of voltage fluctuation；
Step 2: the busbar voltage of real-time tracking micro-grid system is come by adjusting the reactive power output of generation of electricity by new energy unit
Stablize busbar voltage.
2. the micro-grid coordination control method as described in claim 1 based on active Demand Side Response, which is characterized in that step
1 with the concatenated intelligent load controller of the non-critical loads by realizing；The intelligent load controller is based on electric current control
The voltage source inverter of system.
3. the micro-grid coordination control method as claimed in claim 2 based on active Demand Side Response, which is characterized in that described
The control system of intelligent load controller includes phase control loop and amplitude control loop；
In phase control loop, intelligent load controller locks intelligent load electric current I by phaselocked loop0Phase angle, then
With I0Phase angle on the basis of, pass through phase angle calculator export intelligent load controller voltage VSLPhase angle, make VSLWith I0
Keep 90 degree of phase difference；
In amplitude control loop, intelligent load controller calculates bus current I firstSVirtual value and derivation is carried out to it, so
Derivation result is subjected to first time judgement afterwards, if derivation result is greater than 0, controls VSLPhase angular lag I090 degree of phase angle；
If derivation result controls V less than 0SLPhase angular advance I090 degree of phase angle；After once determining, ISDerivation result
It will carry out determining that the control signal of secondary judgement is non-critical loads voltage V second0If V0Virtual value permission range
It is interior, then continue to output ISDerivation as a result, if V0Virtual value be more than allow deviation range, then export 0；Secondary judging device
Output signal eventually pass through the calculating final output V of pi controllerSLAmplitude；Last VSLPhase angle signal and
Amplitude signal inputs in the inverter of intelligent load controller by synthesis, realizes VSLPhysics output.
4. the micro-grid coordination control method as described in claim 1 based on active Demand Side Response, which is characterized in that step
2 are realized by being installed on the intelligent inverter of new energy unit output end.
5. the micro-grid coordination control method as claimed in claim 4 based on active Demand Side Response, which is characterized in that in institute
It states in the control system of intelligent inverter, passes through Park Transformation first for new energy source machine bank branch current IRIt is decomposed into active component
IRdWith reactive component IRq；Then I is calculated by active power controller and Reactive Power ControlRdAnd IRqReference value, wherein active
The input signal of power control is the voltage signal V of intelligent inverter DC capacitorDC, then by calculating VDCWith its specified ginseng
Examine value VDC_REFDifference obtain the departure of inverter DC terminal voltage, to the departure carry out proportional integration be calculated newly
Energy source machine bank branch current IRActive component reference value Id_ref；The input signal of Reactive Power Control is busbar voltage VS, with
Afterwards by calculating VSWith its nominal reference VS_REFDifference obtain the departure of busbar voltage, to the departure carry out ratio product
Divide and new energy source machine bank branch current I is calculatedRReactive component reference value Iq_ref；Finally calculate IRd、IRqAnd Id_ref、Iq_ref
Difference, and by difference input proportional integration calculator obtain the control signal of intelligent inverter, finally realize intelligent inverter
Electric current output.
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| CN110957741A (en) * | 2019-12-30 | 2020-04-03 | 南京师范大学 | Reactive response control system for demand side back-to-back converter |
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| CN116109121A (en) * | 2023-04-17 | 2023-05-12 | 西昌学院 | User demand mining method and system based on big data analysis |
| CN116109121B (en) * | 2023-04-17 | 2023-06-30 | 西昌学院 | User demand mining method and system based on big data analysis |
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