A kind of active power distribution network coordination damping control method, device, terminal equipment and storage medium

Abstract

The application discloses a kind of active distribution network coordinated damping control method, device, terminal equipment and storage medium, method includes: obtaining the network side power of active distribution network to be controlled and network side current;According to network side power and preset control parameter, additional damping control is carried out to obtain additional current;According to network side current and additional current, current detection is carried out to obtain converter current control signal;According to converter current control signal, active distribution network to be controlled is controlled;Wherein, the determination of control parameter includes: obtaining the control range of control parameter, the initial state variable of active distribution network to be controlled, additional damping controller quantity and oscillation modal characteristic value;According to control range, initial state variable, additional damping controller quantity and oscillation modal characteristic value, with the maximum damping of active distribution network to be controlled as target, based on optimization algorithm optimization is carried out to obtain control parameter.By implementing the application, the power grid control method for multiple additional damping control is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, and in particular to a coordinated damping control method and device for active distribution networks, a terminal device and a storage medium. BACKGROUND

[0002] With the rapid development of new energy technology and the wide application of distributed energy, the proportion of large-scale new energy base grid-connected systems in power systems is gradually increasing. The power electronic converters and their controls connected to the distribution network will bring new dynamic problems, further leading to multiple sustained oscillation accidents. Additional control strategies are widely used in power systems to improve system stability, such as power system stabilizers attached to synchronous generators to improve power system static stability, or static var compensators with additional controls installed at the grid connection point of thermal power generators to suppress shaft subsynchronous torsional vibration. Currently, additional control strategies are mainly used to enhance the damping of active distribution networks to improve the dynamic stability of active distribution networks. However, for active distribution network damping control, current research is limited to the design of single additional control and stability improvement. With the increasing complexity of active distribution network structure, there is a complex interaction between multiple additional controls, and there is a lack of power grid control methods for multiple additional damping controls. SUMMARY

[0003] The embodiments of the present application provide a coordinated damping control method and device for active distribution networks, a terminal device and a storage medium, which can effectively solve the problem of lack of power grid control methods for multiple additional damping controls in the prior art.

[0004] An embodiment of the present application provides a coordinated damping control method for active distribution networks, comprising:

[0005] obtaining a grid-side power and a grid-side current of the active distribution network to be controlled;

[0006] performing additional damping control according to the grid-side power and a preset control parameter to obtain an additional current;

[0007] performing current detection according to the grid-side current and the additional current to obtain a converter current control signal;

[0008] controlling the active distribution network to be controlled according to the converter current control signal;

[0009] The determination of the control parameter comprises:

[0010] obtaining a control range of the control parameter, an initial state variable of the active distribution network to be controlled, a number of additional damping controllers and an oscillation modal characteristic value;

[0011] According to the control range, the initial state variable, the number of additional damping controllers and the oscillation mode characteristic value, control parameters are obtained by optimization based on an optimization algorithm with the objective of maximizing the damping of the active power distribution network to be controlled.

[0012] Further, according to the control range, the initial state variable, the number of additional damping controllers and the oscillation mode characteristic value, control parameters are obtained by optimization based on an optimization algorithm with the objective of maximizing the damping of the active power distribution network to be controlled, including:

[0013] According to the number of additional damping controllers, the number of optimization particles is determined; wherein each particle is a set of control parameters;

[0014] According to the control range, the minimum value and the maximum value of the control parameters are determined; and according to the preset number of iterations, the minimum value and the maximum value of the control parameters, the iteration constraint condition is calculated;

[0015] According to the control range, the initial control parameters are randomly determined; and according to the iteration constraint condition, the initial change value of the control parameters is randomly determined;

[0016] According to the current state variable and the oscillation mode characteristic value, the damping of the active power distribution network to be controlled is calculated;

[0017] According to the number of optimization particles, the current control parameters and the current change value, the control parameter optimization operation is performed under the iteration constraint condition with the objective of maximizing the damping of the active power distribution network to be controlled until the preset number of iterations is reached to obtain the final control parameters; and the current state variable is updated according to the current control parameters; and the current change value is updated according to the current control parameters and the preset acceleration factor;

[0018] Wherein, the current control parameters when the control parameter optimization operation is first performed are the initial control parameters; the current change value when the control parameter optimization operation is first performed is the initial change value; and the current state variable when the control parameter optimization operation is first performed is the initial state variable.

[0019] Further, the preset control parameters include: a first coefficient for phase compensation, a second system for proportional gain amplification and a third coefficient for indicating a phase compensation time constant;

[0020] The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint;

[0021] The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint; i Clause- is:

[0022]

[0023] Wherein, Vα represents a first coefficient constraint; V Kc represents a second coefficient constraint; V Tc represents a third coefficient constraint; a max represents a first coefficient maximum value; a min represents a first coefficient minimum value; K cmax represents a second coefficient maximum value; K cmin represents a second coefficient minimum value; T cmax represents a third coefficient maximum value; T cmin represents a third coefficient minimum value; y represents a preset number of iterations.

[0024] Further, the additional damping control is performed according to the grid-side power and a preset control parameter, to obtain an additional current, including:

[0025] The grid-side power is signal-converted to obtain a grid-side power signal;

[0026] The grid-side power signal is signal-smoothed to obtain a grid-side power oscillation component;

[0027] Phase compensation is performed according to a first coefficient, a third coefficient and the grid-side power oscillation component, to obtain a first signal after phase compensation;

[0028] Proportional gain amplification is performed according to a second coefficient and the first signal, to obtain an additional current d-axis component;

[0029] The additional current d-axis component is Park-transformed to obtain an additional current.

[0030] Further, current sampling is performed according to the grid-side current and the additional current, to obtain a converter current control signal, including:

[0031] First current detection is performed according to the grid-side current, to calculate a grid-side current control signal;

[0032] The additional current is signal-converted to obtain an additional current control signal;

[0033] Second current detection is performed according to the grid-side current control signal and the additional current control signal, to obtain a converter current control signal.

[0034] As an improvement of the above-mentioned scheme, another embodiment of the present application provides an active power distribution network coordinated damping control device, including:

[0035] A first data acquisition module is configured to acquire a grid-side power and a grid-side current of an active power distribution network to be controlled;

[0036] An additional current generation module is configured to perform additional damping control according to the grid-side power and a preset control parameter to obtain an additional current;

[0037] A current control signal generation module is configured to perform current detection according to the grid-side current and the additional current to obtain a converter current control signal;

[0038] A coordinated damping control module is configured to control the to-be-controlled active power distribution network according to the converter current control signal;

[0039] Further comprising:

[0040] A second data acquisition module is configured to acquire a control range of the control parameter, an initial state variable of the to-be-controlled active power distribution network, a number of additional damping controllers, and an oscillation mode characteristic value;

[0041] A control parameter determination module is configured to perform optimization based on an optimization algorithm to obtain the control parameter, with the goal of maximizing damping of the to-be-controlled active power distribution network, according to the control range, the initial state variable, the number of additional damping controllers, and the oscillation mode characteristic value.

[0042] Further, the control parameter determination module comprises:

[0043] A particle number determination unit is configured to determine an optimization particle number according to the number of additional damping controllers, wherein each particle is a control parameter set;

[0044] A constraint determination unit is configured to determine a minimum value and a maximum value of the control parameter according to the control range, and to calculate an iteration constraint condition according to a preset iteration number, the minimum value, and the maximum value of the control parameter;

[0045] An initial value determination unit is configured to randomly determine an initial control parameter according to the control range, and to randomly determine an initial change value of the control parameter according to the iteration constraint condition;

[0046] A damping determination unit is configured to calculate damping of the to-be-controlled active power distribution network according to a current state variable and the oscillation mode characteristic value;

[0047] A parameter optimization unit is configured to perform control parameter optimization operation under the iteration constraint condition, with the goal of maximizing damping of the to-be-controlled active power distribution network, according to the optimization particle number, a current control parameter, and a current change value, until a preset iteration number is reached, to obtain a final control parameter, to update the current state variable according to the current control parameter, and to update the current change value according to the current control parameter and a preset acceleration factor;

[0048] The current control parameter when the control parameter optimization operation is performed for the first time is an initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is an initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is an initial state variable.

[0049] Further, the preset control parameter includes a first coefficient for phase compensation, a second system for proportional gain amplification, and a third coefficient for representing a phase compensation time constant.

[0050] The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint, and a third coefficient constraint.

[0051] The iteration constraint condition is:

[0052]

[0053] V α represents the first coefficient constraint; V Kc represents the second coefficient constraint; V Tc represents the third coefficient constraint; a max represents a maximum value of the first coefficient; a min represents a minimum value of the first coefficient; K cmax represents a maximum value of the second coefficient; K cmin represents a minimum value of the second coefficient; T cmax represents a maximum value of the third coefficient; T cmin represents a minimum value of the third coefficient; and y represents a preset iteration number.

[0054] Another embodiment of the present application provides a terminal device, which comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the active power distribution network coordinated damping control method as described in the above embodiment when executing the computer program.

[0055] Another embodiment of the present application provides a computer readable storage medium, which comprises a stored computer program, and the device where the computer readable storage medium is located performs the active power distribution network coordinated damping control method as described in the above embodiment when the computer program runs.

[0056] By implementing the present application, at least the following beneficial effects are achieved:

[0057] The application provides a kind of active power distribution network coordinated damping control method, device, terminal equipment and storage medium, its method can obtain the network side power of active power distribution network to be controlled and network side current;Additional damping control is carried out according to the network side power and the preset control parameter, and additional current is obtained;Current detection is carried out according to the network side current and the additional current, and converter current control signal is obtained;According to the converter current control signal, the active power distribution network to be controlled is controlled;Wherein, the determination of the control parameter includes: obtaining the control range of control parameter, the initial state variable of active power distribution network to be controlled, the number of additional damping controller and oscillation modal characteristic value;According to the control range, the initial state variable, the number of additional damping controller and the oscillation modal characteristic value, with the maximum damping of active power distribution network as the target, optimization is carried out based on optimization algorithm, and control parameter is obtained.The determination of control parameter is with the maximum damping of active power distribution network as the target, the different dynamic characteristics between multiple converters and the interaction between multiple additional controls are comprehensively considered, and the control parameter of multiple additional controls that can maximize improve the stability of active power distribution network is determined based on optimization algorithm iterative optimization, so that the power grid control method for multiple additional damping controls is realized. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 is a flowchart of a kind of active power distribution network coordinated damping control method provided by an embodiment of the application;

[0059] Figure 2 is an additional damping control block diagram of a kind of active power distribution network coordinated damping control method provided by an embodiment of the application;

[0060] Figure 3 is the structure diagram of a kind of active power distribution network coordinated damping control device provided by an embodiment of the application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the application will be described clearly and completely in the embodiments of the application in conjunction with the drawings. Obviously, the described embodiments are only a part of the embodiments of the application, not all. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0062] Referring to Figure 1 is a flowchart of a kind of active power distribution network coordinated damping control method provided by an embodiment of the application, comprising:

[0063] S1, the network side power of active power distribution network to be controlled and network side current are obtained;

[0064] S2, performing additional damping control according to the grid-side power and a preset control parameter, to obtain an additional current;

[0065] S3, performing current detection according to the grid-side current and the additional current, to obtain a converter current control signal;

[0066] S4, controlling the to-be-controlled active power distribution network according to the converter current control signal;

[0067] The control parameter is determined by:

[0068] obtaining a control range of the control parameter, an initial state variable of the to-be-controlled active power distribution network, a number of additional damping controllers, and an oscillation modal characteristic value;

[0069] According to the control range, the initial state variable, the number of additional damping controllers, and the oscillation modal characteristic value, an optimization algorithm is used to optimize, with the maximum damping of the to-be-controlled active power distribution network as the target, to obtain the control parameter.

[0070] Specifically, the grid-side current refers to the grid-side current of the converter, and the initial state variable of the to-be-controlled active power distribution network refers to the state variable of the active power distribution network, such as current, voltage, and phase. The oscillation modal characteristic value can be calculated by the following formula:

[0071] First, a state space model of the active power distribution network is established, as shown in the following formula, X is the state variable of the active power distribution network, and A matrix is the coefficient matrix: Solving the following formula can obtain the characteristic value [λ1, λ2,..., λ n ] of the active power distribution network, λ1=R1+jX1, λ2=R2+jX2,..., λ n =R n +jX n . Wherein, the characteristic value with the maximum real part R is defined as the ith, λ i : |λI-A|=0.

[0072] In a preferred embodiment of the present application, the grid-side power of the active power distribution network to be controlled is obtained first, and then additional damping control is performed according to the grid-side power and preset control parameters to obtain an additional current; then current detection is performed according to the grid-side current and the additional current to obtain a converter current control signal; finally, the active power distribution network to be controlled is controlled according to the converter current control signal; wherein the determination of the control parameters comprises: obtaining the control range of the control parameters, the initial state variable of the active power distribution network to be controlled, the number of additional damping controllers, and the oscillation mode characteristic value; and based on an optimization algorithm, optimization is performed to maximize the damping of the active power distribution network to be controlled, and the control parameters are obtained.

[0073] Preferably, based on the optimization algorithm, optimization is performed to maximize the damping of the active power distribution network to be controlled according to the control range, the initial state variable, the number of additional damping controllers, and the oscillation mode characteristic value, and the control parameters are obtained, comprising:

[0074] According to the number of additional damping controllers, the number of optimization particles is determined; wherein each particle is a set of control parameters;

[0075] According to the control range, the minimum value and the maximum value of the control parameters are determined; and according to the preset number of iterations, the minimum value and the maximum value of the control parameters, the iteration constraint condition is calculated;

[0076] The initial control parameters are randomly determined according to the control range; and the initial change value of the control parameters is randomly determined according to the iteration constraint condition;

[0077] According to the current state variable and the oscillation mode characteristic value, the damping of the active power distribution network to be controlled is calculated;

[0078] According to the number of optimization particles, the current control parameters, and the current change value, the control parameter optimization operation is performed to maximize the damping of the active power distribution network to be controlled under the iteration constraint condition until the preset number of iterations is reached, and the final control parameters are obtained; and the current state variable is updated according to the current control parameters; and the current change value is updated according to the current control parameters and the preset acceleration factor;

[0079] Wherein, the current control parameters when the control parameter optimization operation is first performed are the initial control parameters; the current change value when the control parameter optimization operation is first performed is the initial change value; and the current state variable when the control parameter optimization operation is first performed is the initial state variable.

[0080] The preset control parameters include a first coefficient for phase compensation, a second coefficient for proportional gain amplification, and a third coefficient for representing a phase compensation time constant;

[0081] The iteration constraints include a first coefficient constraint, a second coefficient constraint, and a third coefficient constraint;

[0082] The iteration constraints are:

[0083]

[0084]

[0085] wherein V α represents the first coefficient constraint; represents the second coefficient constraint; represents the third coefficient constraint; α max represents a first coefficient maximum value; α min represents a first coefficient minimum value; K cmax represents a second coefficient maximum value; K cmin represents a second coefficient minimum value; T cmax represents a third coefficient maximum value; T cmin represents a third coefficient minimum value; y represents a preset iteration number.

[0086] Specifically, when multiple damping controls are added to the active power distribution network, coordination and optimization design are required between the controls. To maximize the dynamic characteristics of the active power distribution network, the optimization objective of the control parameters is determined in the embodiment, that is, the real part of the largest eigenvalue of the active power distribution network needs to be located in the left half plane and as far away from the imaginary axis as possible, that is, the objective function shown in the following formula needs to be maximized in the possible range:

[0087] J = max [Real (λ i )]

[0088] In the formula, λ i is the i-th oscillation mode eigenvalue.

[0089] In a preferred embodiment of the present application, the number of optimization particles is determined according to the number of additional damping controllers; wherein each particle is a set of control parameters; then the minimum value and the maximum value of the control parameters are determined according to the control range; and the iteration constraint condition is calculated according to the preset iteration number, the minimum value and the maximum value of the control parameters; then the initial control parameters are randomly determined according to the control range; and the initial change value of the control parameters is randomly determined according to the iteration constraint condition; the damping of the to-be-controlled active power distribution network is calculated according to the current state variable and the oscillation modal characteristic value; finally, the control parameter optimization operation is performed under the iteration constraint condition with the number of optimization particles, the current control parameters and the current change value as the target of the maximum damping of the to-be-controlled active power distribution network, until the preset iteration number is reached, and the final control parameters are obtained; and the current state variable is updated according to the current control parameters; the current change value is updated according to the current control parameters and the preset acceleration factor; wherein the current control parameters when the control parameter optimization operation is first performed are the initial control parameters; the current change value when the control parameter optimization operation is first performed is the initial change value; and the current state variable when the control parameter optimization operation is first performed is the initial state variable.

[0090] In another preferred embodiment of the present application, the control range of the control parameters is as follows:

[0091] K c ∈[0.1, 3]

[0092] α∈[2, 20]

[0093] T c ∈[0.01, 0.1]

[0094] Based on the control range of the control parameters, the initial state variable of the to-be-controlled active power distribution network, the number of additional damping controllers and the oscillation modal characteristic value, the coordinated control of the additional damping is converted into an optimization problem. For example, the particle swarm optimization algorithm is used to obtain the control parameters:

[0095] 1) The number of optimization particles n = 20x is determined according to the number x of additional damping controllers in the system, and each particle Yi is a set X of key parameters of each additional control link i =[K ci1 ,ɑ ci1 ,T ci1 ,K ci2 ,ɑ ci2 ,T ci2 ,…,K cin ,ɑ cin ,T cin ]. The change value V between two iterations of each particle control parameter is i =[V Kci1 ,V ɑci1 ,VTci1 V Kci2 V ɑci2 V Tci2 ,…,V Kcin V ɑcin V Tcin Assuming the upper limit for the number of iterations is set to y = 40x, the numerical constraints for each particle are set, and the constraint range for the change of a particle between two iterations is set as follows:

[0096]

[0097] 2) Initialization: Set the iteration number t = 0, and randomly set n initial values ​​(initial control parameters) for particles within the given constraints {X}. i(0) For each particle in the constrained range, the initial change value of the particle is randomly set to {V}, where i = 1, ..., n. i(0) {i = 1, ..., n}. The initial value of each particle is marked as its individual optimal X. ibesti The objective function J calculated from the initial values ​​of each particle is compared, and the particle swarm with the smallest objective function is marked as the global optimum X. gbest .

[0098] 3) Iteration count update: t = t + 1.

[0099] 4) Iterative Change Value Update: The current change value of each particle in the particle swarm is updated and calculated based on the following formula, where i represents the i-th particle, j represents the j-th element in the i-th particle, c1 and c2 are acceleration factors, generally around 1.5, and r1 and r2 are random numbers in the interval [0,1].

[0100] v i,j (t)=v i,j (t-1)+c1r1(X gbest(i,j) (t-1)-X (i,j) (t-1))

[0101] +c2r2(X ibesti(i,j) (t-1)-X (i,j) (t-1))

[0102] 5) Particle swarm numerical update: The numerical values ​​of each particle in the particle swarm are updated and calculated based on the following formula, where i represents the i-th particle and j represents the j-th element in the i-th particle:

[0103] X (i,j) (t)=v i,j (t)+X (i,j) (t-1)

[0104] 6) Individual optimal result update: based on the latest particle swarm data obtained in step 5), update the individual optimal result of each particle; for the i-th particle, calculate the objective function J ti , if J ti is smaller than the objective function determined by the individual optimal particle X ibesti in the (t-1)th iteration, update the particle in this iteration as the individual optimal particle X ibesti ; if not, keep the individual optimal particle X ibes unchanged.

[0105] 7) Global optimal result update: based on the latest particle swarm data obtained, update the global optimal result of the particle swarm. Compare the objective functions J t = [J t1 , J t2 , J t3 , …, J tn ] calculated by each particle in this iteration, if the minimum objective function of the particle swarm in this iteration is smaller than the objective function determined by the global optimal particle X gbes t in the (t-1)th iteration, update the particle with the minimum objective function in this iteration as the global optimal particle X gbest ; if not, keep the global optimal particle X gbest unchanged.

[0106] 8) Iteration end judgment: iteration end conditions: A: the global optimal particle remains unchanged for 0.1y iterations; B: the iteration number t has reached the upper limit number y. If one of the iteration end conditions A and B is met, exit the loop, and if neither is met, return to step 3).

[0107] Specifically, the additional damping control is performed according to the grid-side power and a preset control parameter to obtain an additional current, including:

[0108] The grid-side power is converted to obtain a grid-side power signal;

[0109] The grid-side power signal is subjected to signal smoothing processing to obtain a grid-side power oscillation component;

[0110] Phase compensation is performed according to the first coefficient, the third coefficient, and the grid-side power oscillation component to obtain a first signal after phase compensation;

[0111] Proportional gain amplification is performed according to the second coefficient and the first signal to obtain an additional current d-axis component;

[0112] The additional current d-axis component is subjected to Park transformation to obtain an additional current.

[0113] In a preferred embodiment of the present application, as Figure 2As shown, the additional damping control link includes a low-pass filter link, a direct-current blocking link, a phase compensation link and a proportional gain amplification link, wherein the phase compensation link and the proportional gain amplification link are key links of the additional damping control. The grid-side power is converted to obtain a grid-side power signal; the grid-side power signal is subjected to signal smoothing processing to obtain a grid-side power oscillation component, including inputting the grid-side power signal into formula The low-pass filter link outputs an intermediate signal 1, and the intermediate signal 1 is input into formula The direct-current blocking link outputs an intermediate signal 2, i.e. the grid-side power oscillation component; the intermediate signal 2 is input into formula The phase compensation link outputs an intermediate signal 3, i.e. a first signal after phase compensation; the intermediate signal 3 is subjected to low-pass filtering to output an intermediate signal 4; the intermediate signal 4 is input into a proportional gain (formula G k (s)=K c The additional current d-axis component is output; the additional current d-axis component is subjected to Park transformation to output an additional current. Gw(s) is a control function of the direct-current blocking link, GLP(s) is a control function of the low-pass filter link, Gc(s) is a control function of the phase compensation link, and Gk(s) is a control function of the proportional gain amplification link. T w1 T is a time constant of the direct-current blocking link, T LP T is a time constant of the low-pass filter link, a is a proportional coefficient (a first coefficient) of the phase compensation link, T c T is a time constant (a third coefficient), and Kc is an amplification coefficient (a second coefficient) of the proportional gain amplification link.

[0114] Preferably, current sampling is performed according to the grid-side current and the additional current to obtain a converter current control signal, including:

[0115] First current detection is performed according to the grid-side current to calculate a grid-side current control signal;

[0116] Signal conversion is performed on the additional current to obtain an additional current control signal;

[0117] Second current detection is performed according to the grid-side current control signal and the additional current control signal to obtain the converter current control signal.

[0118] In a preferred embodiment of the present application, as shown in Figure 2As shown, according to the first current detection (first-stage current sampling) of the grid-side current, the grid-side current control signal is calculated, and the grid-side current of the converter passes through the first-stage sampling link to output an intermediate current component 1 (grid-side current control signal); then the additional current is signal-converted to obtain an additional current control signal; finally, according to the grid-side current control signal and the additional current control signal, the second current detection is performed to obtain the converter current control signal, and the intermediate current component 1 and the additional current component are added to obtain an intermediate current component 2 (converter current control signal), which outputs a signal to the converter control after inputting the second-stage current sampling.

[0119] An important part of the additional damping control link is that the grid-side power oscillation component passes through phase compensation and proportional amplification to obtain an appropriate size of additional current signal. The additional current signal is input between the two-stage current sampling of the converter, and then input to the converter control link to enhance the system damping. At the same time, in order to reduce the influence on the internal control of the converter and keep the size of the additional control link current within a reasonable range, the additional current signal is added between the two-stage sampling link of the grid-side current of the converter, and then input to the converter control.

[0120] By implementing the embodiment, the grid-side power and the grid-side current of the to-be-controlled active power distribution network can be obtained; the additional damping control is performed according to the grid-side power and the preset control parameter to obtain an additional current; the current detection is performed according to the grid-side current and the additional current to obtain a converter current control signal; and the to-be-controlled active power distribution network is controlled according to the converter current control signal. The determination of the control parameter includes: obtaining the control range of the control parameter, the initial state variable of the to-be-controlled active power distribution network, the number of additional damping controllers, and the oscillation modal characteristic value; and based on the optimization algorithm, the control parameter is obtained by optimization with the maximum damping of the active power distribution network as the target, according to the control range, the initial state variable, the number of additional damping controllers, and the oscillation modal characteristic value. By determining the control parameter, the maximum damping of the active power distribution network is taken as the target, the different dynamic characteristics among multiple converters and the interaction among multiple additional controls are comprehensively considered, and the control parameter of the multiple additional controls that maximally improve the stability of the active power distribution network can be determined based on the optimization algorithm for iterative optimization, so that the power grid control method for multiple additional damping controls is realized.

[0121] Referring to Figure 2 is a structural schematic diagram of an active power distribution network coordinated damping control device provided by an embodiment of the present application, which comprises:

[0122] The first data acquisition module is configured to acquire the grid-side power and the grid-side current of the to-be-controlled active power distribution network.

[0123] an additional current generation module configured to perform additional damping control according to the grid-side power and a preset control parameter to obtain an additional current;

[0124] a current control signal generation module configured to perform current detection according to the grid-side current and the additional current to obtain a converter current control signal;

[0125] a coordinated damping control module configured to control the active power distribution network to be controlled according to the converter current control signal;

[0126] wherein the method further comprises:

[0127] a second data acquisition module configured to acquire a control range of the control parameter, an initial state variable of the active power distribution network to be controlled, a number of additional damping controllers, and an oscillation mode characteristic value;

[0128] a control parameter determination module configured to perform optimization based on an optimization algorithm to obtain the control parameter, with a maximum damping of the active power distribution network to be controlled as a target, according to the control range, the initial state variable, the number of additional damping controllers, and the oscillation mode characteristic value.

[0129] Specifically, the control parameter determination module comprises:

[0130] a particle number determination unit configured to determine an optimization particle number according to the number of additional damping controllers, wherein each particle is a control parameter set;

[0131] a constraint determination unit configured to determine a minimum value and a maximum value of the control parameter according to the control range, and to calculate an iteration constraint condition according to a preset iteration number, the minimum value, and the maximum value of the control parameter;

[0132] an initial value determination unit configured to randomly determine an initial control parameter according to the control range, and to randomly determine an initial change value of the control parameter according to the iteration constraint condition;

[0133] a damping determination unit configured to calculate a damping of the active power distribution network to be controlled according to a current state variable and the oscillation mode characteristic value;

[0134] a parameter optimization unit configured to perform control parameter optimization operation under the iteration constraint condition, with a maximum damping of the active power distribution network to be controlled as a target, according to the optimization particle number, a current control parameter, and a current change value, until a preset iteration number is reached to obtain a final control parameter, to update the current state variable according to the current control parameter, and to update the current change value according to the current control parameter and a preset acceleration factor;

[0135] The current control parameter when the control parameter optimization operation is performed for the first time is an initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is an initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is an initial state variable.

[0136] Preferably, the preset control parameter comprises a first coefficient for phase compensation, a second system for proportional gain amplification, and a third coefficient for representing a phase compensation time constant.

[0137] The iteration constraint condition comprises a first coefficient constraint, a second coefficient constraint, and a third coefficient constraint.

[0138] The iteration constraint condition is:

[0139]

[0140] V α represents the first coefficient constraint; represents the second coefficient constraint; represents the third coefficient constraint; a max represents a first coefficient maximum value; a min represents a first coefficient minimum value; K cmax represents a second coefficient maximum value; K cmin represents a second coefficient minimum value; T cmax represents a third coefficient maximum value; T cmin represents a third coefficient minimum value; y represents a preset iteration number.

[0141] The application provides an active power distribution network coordinated damping control device, wherein a grid-side power of an active power distribution network to be controlled is acquired by a first data acquisition module; an additional damping control is performed on the grid-side power and preset control parameters in an additional current generation module, so that an additional current is obtained; current detection is performed on the grid-side current and the additional current by a current control signal generation module, so that a converter current control signal is obtained; finally, the active power distribution network to be controlled is controlled by a coordinated damping control module according to the converter current control signal; wherein a control range of the control parameters, initial state variables of the active power distribution network to be controlled, the number of additional damping controllers and oscillation mode characteristic values are acquired by a second data acquisition module; in a control parameter determination module, the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values are used as the target of maximum damping of the active power distribution network, and an optimization algorithm is used for optimization, so that the control parameters are obtained. Through the determination of the control parameters, the maximum damping of the active power distribution network is taken as the target, the different dynamic characteristics among multiple converters and the interaction among multiple additional controls are comprehensively considered, the optimization algorithm is used for iterative optimization, the control parameters of the multiple additional controls that can maximize the stability of the active power distribution network are determined, and the power grid control method for multiple additional damping controls is realized.

[0142] It should be noted that the apparatus embodiments described above are only schematic, wherein the units as described can or can not be physically separate, and the components as shown can or can not be physical components, i.e., can be located in one place or distributed over multiple network components. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments. In addition, the connection between the modules in the apparatus embodiments provided by the application indicates that there is a communication connection between them, which can be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0143] Those skilled in the art can clearly understand the specific working process of the apparatus described above, which can refer to the corresponding process in the foregoing method embodiments, and will not be described here.

[0144] Another embodiment of the application also provides a terminal device, which comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the active power distribution network coordinated damping control method as described in the foregoing embodiments when executing the computer program. The terminal device can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing devices. The terminal device can include, but is not limited to, a processor and a memory.

[0145] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The processor is a control center of the terminal device, and connects all parts of the terminal device through various interfaces and lines.

[0146] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling data stored in the memory. The memory can mainly include a program storage area and a data storage area. The program storage area can store an operating system, at least one application program required by a function, etc.; and the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a nonvolatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device or other volatile solid-state memory device.

[0147] Another embodiment of the present application provides a computer readable storage medium, which comprises a stored computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to execute the active power grid coordinated damping control method according to the above-mentioned embodiment when the computer program runs.

[0148] The storage medium is a computer readable storage medium, and the computer program is stored in the computer readable storage medium. The computer program, when executed by a processor, can implement the steps of each method embodiment described above. The computer program includes computer program code, which can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0149] The above is the preferred embodiment of the present application. It should be pointed out that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which are also considered within the scope of protection of the present application.

Claims

1. A method for coordinated damping control of an active distribution network, characterized in that, include: Obtain the grid-side power and grid-side current of the active distribution network to be controlled; Additional damping control is performed based on the grid-side power and preset control parameters to obtain the additional current; Current detection is performed based on the grid-side current and the additional current to obtain the converter current control signal; The active distribution network to be controlled is controlled according to the converter current control signal; The determination of the control parameters includes: The control range of the control parameters, the initial state variables of the active distribution network to be controlled, the number of additional damping controllers, and the characteristic values ​​of the oscillation mode are obtained. The number of optimized particles is determined based on the number of additional damping controllers; where each particle is a set of control parameters. Based on the control range, determine the minimum and maximum values ​​of the control parameters; and calculate the iterative constraints based on the preset number of iterations, the minimum and maximum values ​​of the control parameters. The initial control parameters are randomly determined according to the control range; and the initial change values ​​of the control parameters are randomly determined according to the iterative constraint conditions. Based on the current state variables and the characteristic values ​​of the oscillation mode, the damping of the active distribution network to be controlled is calculated; Based on the optimized particle number, current control parameters, and current change value, with the goal of maximizing the damping of the active distribution network to be controlled, the control parameters are optimized under iterative constraints until the preset number of iterations is reached to obtain the final control parameters; the current state variable is updated based on the current control parameters; and the current change value is updated based on the current control parameters and the preset acceleration factor. Among them, the current control parameter when performing the control parameter optimization operation for the first time is the initial control parameter; the current change value when performing the control parameter optimization operation for the first time is the initial change value; and the current state variable when performing the control parameter optimization operation for the first time is the initial state variable.

2. The active distribution network coordinated damping control method as described in claim 1, characterized in that, The preset control parameters include: a first coefficient for phase compensation, a second coefficient for proportional gain amplification, and a third coefficient for representing the phase compensation time constant; The iterative constraints include a first coefficient constraint, a second coefficient constraint, and a third coefficient constraint. The iterative constraint is as follows: in, Indicates the first coefficient constraint; Indicates the second coefficient constraint; Indicates a third coefficient constraint; This indicates the maximum value of the first coefficient; This represents the minimum value of the first coefficient; This indicates the maximum value of the second coefficient; This represents the minimum value of the second coefficient; This indicates the maximum value of the third coefficient; y represents the minimum value of the third coefficient; y represents the preset number of iterations.

3. The active distribution network coordinated damping control method as described in claim 1, characterized in that, Additional damping control is performed based on the grid-side power and preset control parameters to obtain an additional current, including: The grid-side power is converted into a signal to obtain a grid-side power signal; The grid-side power signal is smoothed to obtain the grid-side power oscillation component. Phase compensation is performed based on the first coefficient, the third coefficient, and the grid-side power oscillation component to obtain the phase-compensated first signal. The additional current d-axis component is obtained by performing proportional gain amplification based on the second coefficient and the first signal. The additional current is obtained by performing a Parker transformation on the d-axis component of the additional current.

4. The active distribution network coordinated damping control method as described in claim 1, characterized in that, Based on the grid-side current and the additional current, current detection is performed to obtain the converter current control signal, including: Based on the grid-side current, the first current detection is performed, and the grid-side current control signal is calculated. The additional current is converted into a signal to obtain an additional current control signal; A second current detection is performed based on the grid-side current control signal and the additional current control signal to obtain the converter current control signal.

5. An active distribution network coordinated damping control device, characterized in that, include: The first data acquisition module is used to acquire the grid-side power and grid-side current of the active distribution network to be controlled; An additional current generation module is used to perform additional damping control based on the grid-side power and preset control parameters to obtain an additional current. A current control signal generation module is used to perform current detection based on the grid-side current and the additional current to obtain a converter current control signal. The coordinated damping control module is used to control the active distribution network to be controlled according to the converter current control signal; This also includes: The second data acquisition module is used to acquire the control range of the control parameters, the initial state variables of the active distribution network to be controlled, the number of additional damping controllers, and the characteristic values ​​of the oscillation mode. The control parameter determination module includes: The particle number determination unit is used to determine the optimal particle number based on the number of additional damping controllers; wherein each particle is a set of control parameters. The constraint determination unit is used to determine the minimum and maximum values ​​of the control parameters based on the control range; and to calculate the iterative constraint conditions based on the preset number of iterations, the minimum and maximum values ​​of the control parameters. An initial value determination unit is used to randomly determine initial control parameters based on the control range and to randomly determine initial change values ​​of the control parameters based on iterative constraint conditions. The damping determination unit is used to calculate the damping of the active distribution network to be controlled based on the current state variables and the characteristic values ​​of the oscillation mode. The parameter optimization unit is used to optimize the control parameters under iterative constraints, based on the number of optimization particles, the current control parameters, and the current change value, with the goal of maximizing the damping of the active distribution network to be controlled, until a preset number of iterations is reached to obtain the final control parameters; and to update the current state variable based on the current control parameters; and to update the current change value based on the current control parameters and the preset acceleration factor. Among them, the current control parameter when performing the control parameter optimization operation for the first time is the initial control parameter; the current change value when performing the control parameter optimization operation for the first time is the initial change value; and the current state variable when performing the control parameter optimization operation for the first time is the initial state variable.

6. The active distribution network coordinated damping control device as described in claim 5, characterized in that, The preset control parameters include: a first coefficient for phase compensation, a second coefficient for proportional gain amplification, and a third coefficient for representing the phase compensation time constant; The iterative constraints include a first coefficient constraint, a second coefficient constraint, and a third coefficient constraint. The iterative constraint is as follows: in, Indicates the first coefficient constraint; Indicates the second coefficient constraint; Indicates a third coefficient constraint; This indicates the maximum value of the first coefficient; This represents the minimum value of the first coefficient; This indicates the maximum value of the second coefficient; This represents the minimum value of the second coefficient; This indicates the maximum value of the third coefficient; y represents the minimum value of the third coefficient; y represents the preset number of iterations.

7. A terminal device, characterized in that, The method includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements an active distribution network coordinated damping control method as described in any one of claims 1 to 4.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform an active distribution network coordinated damping control method as described in any one of claims 1 to 4.

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