CN107565604A - Multi-machine parallel connection virtual synchronous generator power distributes and parameter adaptive control method - Google Patents

Multi-machine parallel connection virtual synchronous generator power distributes and parameter adaptive control method Download PDF

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CN107565604A
CN107565604A CN201711014221.4A CN201711014221A CN107565604A CN 107565604 A CN107565604 A CN 107565604A CN 201711014221 A CN201711014221 A CN 201711014221A CN 107565604 A CN107565604 A CN 107565604A
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virtual synchronous
synchronous generator
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CN107565604B (en
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茆美琴
钱程
张榴晨
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Hefei University of Technology
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Abstract

The invention discloses a kind of distribution of multi-machine parallel connection virtual synchronous generator power and parameter adaptive control method, the small-signal model of n platform virtual synchronous parallel running of generators is initially set up, obtains the transmission function G between i-th virtual synchronous generated output power and load powerpli, the parameter of each virtual synchronous generator of parallel running is corresponded to proportional, the constraints of acquisition parameter matching;The constraints of parameter matching is recycled, the control parameter of each virtual synchronous generator is obtained under the different mode of operation of micro-grid system.The present invention is applied to independent light storage micro-grid system, and institute's extracting method has taken into full account the power output of DC side photovoltaic cells, realizes the reasonable fair allocat that power is carried out on the premise of the preferential output using photovoltaic, improves the utilization rate of the regenerative resources such as photovoltaic.

Description

Power distribution and parameter self-adaptive control method for multi-machine parallel virtual synchronous generator
Technical Field
The invention relates to the technical field of virtual synchronous generators, is applied to occasions such as optical storage micro-grids and the like, and particularly relates to a power distribution and parameter self-adaptive control method for a multi-machine parallel virtual synchronous generator.
Background
Distributed power supplies mainly based on renewable energy sources such as photovoltaic energy, wind energy and the like in the microgrid are generally connected to a power system through a power electronic inverter, the inverter is flexible to control and high in response speed, but the inverter belongs to a static element and almost has no inertia. The output of renewable energy is easily influenced by the environment, has larger fluctuation and randomness, and is difficult to meet the requirement of power grid friendliness. Along with the increase of the permeability of the renewable energy, the inertia of the system is obviously reduced, the frequency is more sensitive to the fluctuation of the load and the output of the renewable energy, and the stable operation of a power grid has larger hidden trouble.
Virtual synchronous generator technology (VSG) has received much attention because it can provide inertia to the system and improve frequency stability. Renewable energy sources such as photovoltaic energy alone cannot provide enough energy buffering for the virtual synchronous generator, and stability of the system is affected. In order to ensure the stable operation of the virtual synchronous generator, an energy storage unit needs to be added on the direct current side of the virtual synchronous generator, the voltage of a direct current bus is maintained to be constant, the random fluctuation of primary energy output is compensated, and meanwhile, energy buffering is provided for the transient process of the virtual synchronous generator.
When the existing inverters controlled by the virtual synchronous generator run in parallel, power distribution is generally carried out according to rated capacity of the inverters, and the output capacity of primary energy at a direct current side is not considered. When the virtual synchronous generator integrating the photovoltaic and the energy storage unit on the direct current side operates in an isolated island, if the load power is distributed improperly, the output power of some virtual synchronous generators is less than the photovoltaic output of the direct current side, the photovoltaic of the direct current side cannot be fully utilized, the output power of some virtual synchronous generators is greater than the photovoltaic output of the direct current side, the energy storage unit is required to compensate the power shortage, and the renewable energy source cannot be utilized to the maximum extent.
Disclosure of Invention
The invention provides a power distribution and parameter self-adaptive control method of a multi-machine parallel virtual synchronous generator to avoid the defects of the prior art so as to improve the utilization rate of renewable energy.
The invention adopts the following technical scheme for solving the technical problems:
the invention discloses a multi-machine parallel virtual synchronous generator power distribution and parameter self-adaptive control method, which is characterized by comprising the following steps of:
step 1, establishing small signal models of n virtual synchronous generators in parallel operation to obtain a transfer function G between the output power and the load power of the ith virtual synchronous generator pli ,i=1,2...n;
Step 2, correspondingly proportioning the parameters of all virtual synchronous generators which are operated in parallel to obtain constraint conditions matched with the parameters;
and 3, acquiring control parameters of each virtual synchronous generator in different working modes of the microgrid system by using the constraint conditions matched with the parameters.
The multi-machine parallel virtual synchronous generator power distribution and parameter self-adaptive control method is also characterized in that: the transfer function G is obtained as follows pli :
Firstly, performing small signaling on an active ring and a power transmission equation of each virtual synchronous generator according to an equation (1) and an equation (2):
in the formula (1), Δ ω i ,△P i ,△P refi ,J i And D i The angular frequency variation, the output power variation, the power reference value variation, the rotational inertia and the equivalent damping coefficient of the output voltage of the ith virtual synchronous generator are respectively, and s is an integral operator;
in the formula (2), V is the voltage amplitude of the point of common coupling, E i ,X i The output voltage amplitude and the virtual reactance k of the ith virtual synchronous generator are respectively i To synchronize power coefficients, δ i Delta is the phase difference between the output voltage of the ith virtual synchronous generator and the voltage of the point of common coupling i Is the amount of change of phase difference and has:
Delta omega is the angular frequency variation at the point of common coupling;
the microgrid system comprises n virtual synchronous generators and delta P load Is the load power variation of the system and satisfies the formula (4):
the transfer function G expressed by the formula (5) is obtained from the formula (1), the formula (2), the formula (3) and the formula (4) pli
In the formula (5), the reaction mixture is,G i the physical meaning of the method is a transfer function between a power reference value and output power when a single virtual synchronous generator runs; j. the design is a square j And D j The moment of inertia and the damping coefficient G of the jth virtual synchronous generator respectively j Physical significance of (1) and G i Likewise, j =1,2.
The multi-machine parallel virtual synchronous generator power distribution and parameter self-adaptive control method is also characterized in that: the parameters of the parallel virtual synchronous generators are correspondingly proportioned, and the constraint condition of parameter matching is as follows (6):
α i to distribute the coefficients for power, satisfyWhen the parameter satisfies the constraint condition shown in the formula (6), G pli Being a proportional element, G pli =α i
The multi-machine parallel virtual synchronous generator power distribution and parameter self-adaptive control method is also characterized in that: the control parameters of each virtual synchronous generator are obtained as follows:
according to the total photovoltaic maximum output power Sigma P in the system PV-MPi And load power P load The relation between them divides the system into working mode 1 and working mode 2;
if: sigma P PV-MPi >P load Namely, the working mode is 1;
if: sigma P PV-MPi <P load Namely, the working mode 2 is obtained;
in mode 1 operation, the load power P load Distributing according to the maximum photovoltaic output power at the direct current side of the virtual synchronous generator, wherein the power distribution coefficient is alpha i The expression is as in formula (7):
in mode 2 operation, let P refi =P PV-MPi So as to ensure that the inverter outputs the photovoltaic output of the direct current side; p refi Is the power reference value, P, of the ith virtual synchronous generator PV-MPi The maximum output power of the photovoltaic at the direct current side of the ith virtual synchronous generator is obtained; the rest load power is distributed according to the residual capacity of the inverter, and the power distribution coefficient alpha i Is represented by formula (8):
in the formula (8), S N Is the rated capacity, sigma S, of a single virtual synchronous generator N Is the sum of rated capacity, sigma P, of n virtual synchronous generators PV-MPi The maximum output power sum of the photovoltaic at the direct current side of n virtual synchronous generators is obtained;
in the working mode 1 and the working mode 2, the expressions for obtaining the control parameters of each virtual synchronous generator under the constraint of the expression (6) are as follows:
J i =α i J N ;D i =α i D N ;L vi =L Ni
J N and D N Respectively the rotational inertia and the equivalent damping coefficient, L, of the whole microgrid system N Is a reference value of virtual inductance of a virtual synchronous generator, L vi The virtual inductance of the ith virtual synchronous generator is obtained.
Compared with the prior art, the invention has the beneficial effects that:
the photovoltaic power distribution system is suitable for an independent light-storage micro-grid system, power distribution is carried out on the premise that photovoltaic output is preferentially utilized, the photovoltaic output is fully utilized, the utilization rate of renewable energy sources is improved, and meanwhile reasonable fairness of the power distribution is guaranteed;
2. the invention adopts the parameter self-adaptive adjustment control strategy of the virtual synchronous generator, increases the inertia and the damping of the system, simultaneously gives full play to the advantage of adjustable parameters of the virtual synchronous generator, and further optimizes the control effect;
3. the control parameters obtained based on the parameter constraint conditions can enable the output power of the virtual synchronous generator to correspondingly change in proportion when the load is disturbed, so that power oscillation cannot occur, the charging and discharging frequency of the energy storage system is reduced, and the service life of the energy storage system is prolonged.
Drawings
Fig. 1 is a structural diagram of an optical storage microgrid system controlled by a virtual synchronous generator according to the present invention;
FIG. 2 shows G under different parameters according to the present invention pli Step response curve of (a);
FIG. 3 is a f-P curve at steady state of a virtual synchronous generator employed in the analysis of the present invention;
FIG. 4 is a flow chart illustrating a parameter adaptive control strategy according to the present invention;
FIG. 5 is a graph of a load power waveform under a simulation form of the present invention;
FIG. 6 shows the DC-side photovoltaic maximum output power waveforms of two virtual synchronous generators under the simulation mode of the present invention;
FIG. 7 shows waveforms of output powers of two virtual synchronous generators in the simulation form of the present invention;
FIG. 8 shows the power distribution ratio coefficient α of two virtual synchronous generators under the simulation mode of the present invention i
FIG. 9 shows the power reference values P of two virtual synchronous generators under the simulation mode of the present invention refi
Detailed Description
The control structure of the microgrid system is shown in fig. 1 and is composed of a photovoltaic unit, an energy storage unit and an inverter unit controlled by a virtual synchronous generator. The control structures of the virtual synchronous generators are consistent, and the photovoltaic unit and the energy storage unit are integrated on the direct current side.
The method for self-adaptive control of power distribution and parameters of the multi-machine parallel virtual synchronous generator in the embodiment is carried out according to the following steps:
step 1, establishing a small signal model of n virtual synchronous generators in parallel operation to obtain a transfer function G between the output power and the load power of the ith virtual synchronous generator pli (i =1,2.. N), analyzing the dynamic response characteristics of the parallel virtual synchronous generators and the influence of parameters on the dynamic characteristics.
Firstly, performing small signaling on an active ring and a power transmission equation of each virtual synchronous generator according to an equation (1) and an equation (2):
in the formula (1), Δ ω i ,△P i ,△P refi ,J i And D i The angular frequency variation, the output power variation, the power reference value variation, the rotational inertia and the equivalent damping coefficient of the output voltage of the ith virtual synchronous generator are respectively, and s is an integral operator;
in the formula (2), V is the voltage amplitude of the point of common coupling, E i ,X i The output voltage amplitude and the virtual reactance k of the ith virtual synchronous generator are respectively i To synchronize the power coefficients, δ i Delta is the phase difference between the output voltage of the ith virtual synchronous generator and the voltage of the point of common coupling i Is the variation of the phase difference and has:
delta omega is the angular frequency variation at the point of common coupling;
the microgrid system comprises n virtual synchronous generators and delta P load Is the load power variation of the system and satisfies the formula (4):
the transfer function G expressed by the formula (5) is obtained from the formula (1), the formula (2), the formula (3) and the formula (4) pli
In the formula (5), the reaction mixture is,G i the physical meaning of (A) is that a single virtual synchronous transmitter is usedWhen the motor operates, the transfer function between the power reference value and the output power; j. the design is a square j And D j The moment of inertia and the damping coefficient G of the jth virtual synchronous generator respectively j Physical significance of (1) and G i Likewise, j =1,2.
Step 2, correspondingly proportioning the parameters of each virtual synchronous generator which operates in parallel, and obtaining the constraint condition of parameter matching as shown in formula (6):
α i to distribute the coefficient for power, satisfyWhen the parameter satisfies the constraint condition shown in the formula (6), G pli Being a proportional element, G pli =α i
Fig. 2 is a response curve of output power of one virtual synchronous generator, when two virtual synchronous generators are connected in parallel, and the moment of inertia, equivalent damping coefficient and virtual reactance satisfy different relationships, and the load step changes. When the rotational inertia, the equivalent damping coefficient and the virtual reactance of the virtual synchronous generators satisfy the constraint conditions shown in the formula (6), and the load changes, the two virtual synchronous generators share the load power in proportion, and the output power does not oscillate, as shown by a curve 3 in fig. 2; when the virtual reactance or the moment of inertia does not satisfy the constraint condition shown in equation (6), the output power of the virtual synchronous generator will gradually stabilize after oscillating for a period of time when the load changes, as shown in curve 1 and curve 2 in fig. 2, respectively. The difference between the two is that pli The expression of (A) indicates that G pli Initial value of (1/X) i Is proportional to the steady state value of D i The output power of the virtual synchronous generator is proportional to the initial value of the output power of the virtual synchronous generator, and the initial value and the steady-state value of the output power of the virtual synchronous generator are equal when the rotational inertia does not meet the constraint condition; and when the virtual reactance does not meet the constraint condition, the initial value and the steady-state value of the output power are not equal. Equation (6) can be regarded as one of the parameters matching of the parallel virtual synchronous generatorAnd (4) a constraint condition.
For an optical storage independent microgrid system controlled by a virtual synchronous generator, in order to utilize photovoltaic output power to the maximum extent, the relation between source load power needs to be considered. According to the invention, a parameter self-adaptive control strategy is provided by utilizing the advantage of adjustable parameters of the virtual synchronous generator according to the relation between the total photovoltaic maximum output power and the load power, and the virtual synchronous generator distributes the load power according to different distribution requirements.
And 3, obtaining the control parameters of each virtual synchronous generator in the following mode under different working modes of the microgrid system by using the constraint conditions matched with the parameters.
According to the total photovoltaic maximum output power Sigma P in the system PV-MPi And load power P load The relation between them divides the system into working mode 1 and working mode 2;
if: sigma P PV-MPi >P load Namely, the working mode is 1;
if: sigma P PV-MPi <P load Namely, the working mode 2 is obtained;
in mode 1 operation, the load power P load Distributing according to the maximum photovoltaic output power at the direct current side of the virtual synchronous generator, wherein the power distribution coefficient is alpha i The expression is as in formula (7):
in mode 2 operation, let P refi =P PV-MPi So as to ensure that the inverter outputs the photovoltaic output of the direct current side firstly; p refi Power reference value, P, for the ith virtual synchronous generator PV-MPi The maximum output power of the photovoltaic at the direct current side of the ith virtual synchronous generator is obtained; the rest load power is distributed according to the residual capacity of the inverter, and the power distribution coefficient alpha i Is represented by formula (8):
in the formula (8), S N Is the rated capacity, sigma S, of a single virtual synchronous generator N Is the sum of rated capacity, sigma P, of n virtual synchronous generators PV-MPi The maximum output power sum of the photovoltaic at the direct current side of n virtual synchronous generators is obtained;
in the working mode 1 and the working mode 2, if the parameters in the parallel VSG satisfy the constraint condition shown in the formula (6), G i As expressed in formula (9):
G i =α i G N (9)
in the formula (9), the reaction mixture is,multiple VSGs connected in parallel are regarded as a whole, J N And D N The rotational inertia and the equivalent damping coefficient k of the whole microgrid system are respectively N To be the synchronous power coefficient of the virtual synchronous generator,E=E i omega is the synchronous angular frequency, L N For the reference value of the virtual inductance of the virtual synchronous generator, pass G N The J is designed within a reasonable range according to the dynamic characteristics of the step response, such as response time, overshoot and the like N ,D N And L N And the parameters of the ith inverter are as follows: j. the design is a square i =α i J N ;D i =α i D N ;L vi =L Ni (ii) a The output power of the ith inverter is alpha i P L ,α i The power is assigned a coefficient.
Two virtual synchronous generators are adopted to be connected in parallel, and the parameter setting is shown in table 1:
TABLE 1
Taking the parallel operation of two Virtual Synchronous Generators (VSGs) as an example, the analysis method and the result are suitable for the situation that a plurality of VSGs are connected in parallel. Generally, the inverter performs power distribution according to its rated capacity. Assuming that the two inverters have the same capacity, the frequency-power curve at steady state is shown as Aa in fig. 3, and the load-sharing power P is obtained load
According to the control strategy provided by the invention, the output power of the photovoltaic at the direct current side is considered, and the maximum output power of the photovoltaic at the direct current side of the two virtual synchronous generators is assumed to be P PV-MP1 ,P PV-MP2 Inverter capacity of S N Load power of P load . According to the relation between the source load power in the system, the microgrid operates in two different working modes, and then the following analysis is made through the graph 3:
working mode 1: sigma P PV-MPi >P load I.e. the total photovoltaic maximum output power is greater than the load power. If the two virtual synchronous generators carry out power distribution according to the capacity of the inverter, the VSG1 and the VSG2 work at the point a, and the load power is equally distributed. At this time, it may occur that the output power of VSG1 is greater than P PV-MP1 VSG2 output power less than P PV-MP2 Under the condition of (3), the photovoltaic power cannot be utilized to the maximum extent, the VSG2 needs the energy storage system to perform power compensation, and the service life of the energy storage system is shortened.
In this operating mode, let α i And P PV-MPi Is in direct proportion, as shown in formula (7), P refi =0, load power P load The output capacity of the photovoltaic at the direct current side of the VSG is distributed, the two virtual synchronous generators work on Ab and Ac curves respectively, the VSG1 works at a point b, the VSG2 works at a point c, and at the moment, the output power of the two VSGs is smaller than the maximum output power of the photovoltaic at the direct current side of the two VSGs.
The working mode 2 is as follows: sigma P PV-MPi <P load If the virtual synchronous generator equally divides the load, the power is distributed according to the Aa curve, and the situation is similar to the working mode 1; if the load distributes power according to Ab and Ac curves, and the steady state is reached again, the VSG1 worksAt b 1 Point, VSG2 operates at c 1 And (4) point. The load power does not exceed the total rated capacity of the inverter, but at this time VSG2 is overloaded.
In this operating mode, the power reference value of the inverter is changed so that P is refi =P PV-MPi And is provided with alpha i And S N -P PV-MPi Is in direct proportion, as shown in formula (8). Residual power delta P 'of two virtual synchronous generators' 1 ,ΔP’ 2 Will be according to alpha i Distribution,. DELTA.P' 1 ∝S N -P PV-MP1 ,ΔP 2 ’∝S N -P PV-MP2 . Two VSGs will each operate at b 2 B and c 2 On curve B, VSG1 operates at B 2 Point, VSG2 operates at c 2 And (4) point. P PV-MP1 +ΔP 1 ’+P PV-MP2 +ΔP’ 2 <2S N So that P PV-MP1 +ΔP 1 ’<S N ,P PV-MP2 +ΔP’ 2 <S N The photovoltaic output power is guaranteed to be preferentially utilized, and overload operation of the inverter is avoided.
Through the analysis of the two operation modes, the parameter adaptive control strategy provided by the invention is shown in fig. 4, and alpha is avoided near the critical condition i And P ref Oscillation occurs, a hysteresis comparator is added in the switching process, an LPF is a low-pass filter, and alpha is reduced i And the change rate of the power reference value, and the stability of the system is improved. When sigma P PV-MPi >P load S =1, corresponding to mode 1; when Σ P PV-MPi <P load S =0, corresponding to mode 2.
Fig. 5 and 6 are waveforms of load power and photovoltaic maximum output power, respectively, before 2s, the load is constant at 16kW, and the photovoltaic maximum output power varies; after 2.5s, the maximum output power of the photovoltaic was constant at 10kW and 7kW, respectively, and the load power varied. The microgrid switches back and forth between an operating mode 1 and an operating mode 2. Output power waveform and power distribution proportion coefficient alpha of two virtual synchronous generators i As shown in fig. 7 and 8, respectively. FIG. 9 shows two virtual synchronous generator power parametersReference value P refi . When the microgrid works in a working mode 1, alpha i And P PV-MPi In direct proportion, the virtual synchronous generator distributes power according to the output capacity of the photovoltaic on the direct current side of the virtual synchronous generator; when the microgrid works in the working mode 2,P refi =P PV-MPi Firstly, the power of the photovoltaic on the direct current side is completely output, alpha i And S N -P PV-MPi Proportional, the residual load power is according to alpha i And (6) distributing. As can be seen from the power output waveforms before and after 0.5s and 2.5s in fig. 7, when the load suddenly changes, the output power of both VSGs is proportional to the load change, and no power oscillation occurs; as can be seen from the power output waveforms before and after 1s and 3s in FIG. 7, when the power reference value changes, G is added i The output power of the virtual synchronous generator can oscillate, but the oscillation can be controlled within a reasonable range through design parameters.
After verification: the control strategy provided by the invention considers the photovoltaic output condition of the direct current side, dynamically adjusts the controller parameters of the virtual synchronous generators, realizes the optimal distribution of the load among the virtual synchronous generators connected in parallel on the premise of preferentially using the photovoltaic output power, and solves the problem that the existing virtual synchronous generator control method cannot utilize renewable energy to the maximum extent.

Claims (4)

1. The method for self-adaptive control of power distribution and parameters of the multi-machine parallel virtual synchronous generator is characterized by comprising the following steps of:
step 1, establishing a small signal model of n virtual synchronous generators in parallel operation to obtain a transfer function G between the output power and the load power of the ith virtual synchronous generator pli ,i=1,2...n;
Step 2, correspondingly proportioning the parameters of each virtual synchronous generator which runs in parallel to obtain constraint conditions matched with the parameters;
and 3, acquiring control parameters of each virtual synchronous generator in different working modes of the microgrid system by using the constraint conditions matched with the parameters.
2. The power distribution and parameter adaptive control method of multi-machine parallel virtual synchronous generator as claimed in claim 1, characterized by: the transfer function G is obtained as follows pli :
Firstly, performing small signaling on an active ring and a power transmission equation of each virtual synchronous generator according to an equation (1) and an equation (2):
in the formula (1), Δ ω i ,△P i ,△P refi ,J i And D i The angular frequency variation, the output power variation, the power reference value variation, the rotational inertia and the equivalent damping coefficient of the output voltage of the ith virtual synchronous generator are respectively, and s is an integral operator;
in the formula (2), V is the voltage amplitude of the point of common coupling, E i ,X i The output voltage amplitude and the virtual reactance, k of the ith virtual synchronous generator are respectively i To synchronize the power coefficients, δ i Delta is the phase difference between the output voltage of the ith virtual synchronous generator and the voltage of the point of common coupling i Is the variation of the phase difference and has:
delta omega is the angular frequency variation at the point of common coupling;
the microgrid system comprises n virtual synchronous generators and delta P load Is the load power variation of the system, and satisfies the formula (4):
the transfer function G expressed by the formula (5) is obtained from the formula (1), the formula (2), the formula (3) and the formula (4) pli
In the formula (5), the reaction mixture is,G i the physical meaning of the method is a transfer function between a power reference value and output power when a single virtual synchronous generator runs; j. the design is a square j And D j The moment of inertia and the damping coefficient G of the jth virtual synchronous generator respectively j Physical significance of (1) and G i Likewise, j =1,2.
3. The method for self-adaptive control of power distribution and parameters of multi-machine parallel virtual synchronous generators as claimed in claim 2, wherein the method comprises the following steps: the parameters of the parallel virtual synchronous generators are correspondingly proportioned, and the constraint condition of parameter matching is as follows (6):
α i to distribute the coefficients for power, satisfyWhen the parameter satisfies the constraint condition shown in the formula (6), G pli Being a proportional element, G pli =α i
4. The power distribution and parameter adaptive control method of multi-machine parallel virtual synchronous generator as claimed in claim 1, characterized by: the control parameters of each virtual synchronous generator are obtained as follows:
according to the total photovoltaic maximum output power Sigma P in the system PV-MPi And load powerP load The relation between them divides the system into working mode 1 and working mode 2;
if: sigma P PV-MPi >P load Namely, the working mode is 1;
if: sigma P PV-MPi <P load Namely, the working mode 2 is obtained;
in mode 1 operation, the load power P load Distributing according to the maximum photovoltaic output power at the direct current side of the virtual synchronous generator, wherein the power distribution coefficient is alpha i The expression is as in formula (7):
in mode 2 operation, let P refi =P PV-MPi So as to ensure that the inverter outputs the photovoltaic output of the direct current side firstly; p is refi Is the power reference value, P, of the ith virtual synchronous generator PV-MPi The maximum output power of the photovoltaic at the direct current side of the ith virtual synchronous generator is obtained; the rest load power is distributed according to the residual capacity of the inverter, and the power distribution coefficient alpha i Is represented by formula (8):
in formula (8), S N Is the rated capacity, sigma S, of a single virtual synchronous generator N Is the sum of rated capacity, sigma P, of n virtual synchronous generators PV-MPi The maximum output power sum of the photovoltaic at the direct current side of n virtual synchronous generators is obtained;
under the working mode 1 and the working mode 2, the expressions for obtaining the control parameters of each virtual synchronous generator under the constraint of the formula (6) are as follows:
J i =α i J N ;D i =α i D N ;L vi =L Ni
J N and D N Rotation of the whole microgrid system respectivelyInertia and equivalent damping coefficient, L N Is a reference value, L, of the virtual inductance of the virtual synchronous generator vi The virtual inductance of the ith virtual synchronous generator is obtained.
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CN109274125A (en) * 2018-11-27 2019-01-25 南方电网科学研究院有限责任公司 Grid-connected control method and device for multi-machine parallel virtual synchronous inverter
CN109687482A (en) * 2019-02-01 2019-04-26 东南大学 Towards the active oscillation damping control method of more virtual synchronous machine micro-capacitance sensors
CN109687527A (en) * 2018-12-18 2019-04-26 吉林大学 A kind of Parameters design of different capabilities virtual synchronous parallel operation of generator
CN110289644A (en) * 2019-04-08 2019-09-27 湖南工业大学 A kind of micro-capacitance sensor frequency modulation frequency modulation control method based on virtual synchronous generator
CN110429617A (en) * 2019-07-31 2019-11-08 上海电力大学 Design method of direct current side capacitance inertia compensator based on frequency performance index
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