Active power distribution network coordination damping control method and device, terminal equipment and storage medium
By obtaining the network side power and current of the active distribution network, optimizing the control parameters to maximize the active distribution network damping, solve the problem of multiple additional damping control coordination in existing technologies, and realize the dynamic stability of the active distribution grid. Effective improvement.
Patent Information
- Application Number
- CN202411402225.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2025-01-28
- Estimated Expiration
- 2044-10-09
AI Technical Summary
The prior art lacks power grid control methods for multiple additional damping controls, resulting in the problem of improving dynamic stability of active distribution networks under complex structures.
By obtaining the mesh power and current of the active distribution network to control the active distribution network, additional damping control based on the preset control parameters, optimize the control parameters to maximize the active distribution network damping, and achieve the coordination of multiple additional control.
Effectively improve the dynamic stability of the active distribution network, comprehensively consider the dynamic characteristics between multiple variables and the interaction between multiple additional controls, and realize the power grid control method for multiple additional damping control.
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Figure CN119382081A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of power systems, and in particular to an active distribution network coordinated damping control method, device, terminal equipment and storage medium. Background Art
[0002] With the rapid development of new energy technologies and the widespread application of distributed energy, the proportion of large-scale new energy base grid-connected systems in the power system has gradually increased. A large number of power electronic converters and their control connected to the distribution network will also bring new dynamic problems, further leading to multiple continuous oscillation accidents. Additional control strategies are widely used in power systems to improve system stability. For example, the power system stabilizer attached to the synchronous unit can improve the static stability of the power system, or a static VAR compensator with additional control is installed at the grid-connected point of the thermal power unit to suppress the subsynchronous torsional vibration of the shaft system. At present, additional control strategies are mainly used to enhance the damping of the active distribution network to improve the dynamic stability of the active distribution network. However, for the damping control of the active distribution network, it is currently limited to the design of a single additional control and the research on stability improvement. With the increasing complexity of the structure of the active distribution network, there are complex interactions between multiple additional controls, and there is a lack of grid control methods for multiple additional damping controls. Summary of the invention
[0003] The embodiments of the present invention provide a method, an apparatus, a terminal device and a storage medium for coordinated damping control of an active power distribution network, which can effectively solve the problem that the prior art lacks a power grid control method for multiple additional damping controls.
[0004] An embodiment of the present invention provides an active distribution network coordinated damping control method, comprising:
[0005] Obtaining the grid-side power and grid-side current of the active distribution network to be controlled;
[0006] Performing additional damping control according to the grid-side power and preset control parameters to obtain 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 power distribution network to be controlled according to the converter current control signal;
[0009] Wherein, the determination of the control parameters includes:
[0010] Obtaining 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 oscillation mode characteristic values;
[0011] According to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values, the control parameters are obtained by optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled.
[0012] Further, according to the control range, the initial state variable, the number of the additional damping controllers and the oscillation mode characteristic value, the control parameters are obtained by optimizing based on the optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled, including:
[0013] Determining the number of optimized particles according to the number of additional damping controllers; 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 parameter are determined; and according to the preset number of iterations, the minimum value and the maximum value of the control parameter, the iteration constraint condition is calculated;
[0015] Randomly determine the initial control parameter according to the control range; and randomly determine the initial change value of the control parameter according to the iteration constraint condition;
[0016] The damping of the active distribution network to be controlled is calculated according to the current state variables and the oscillation mode characteristic values;
[0017] According to the number of optimized particles, the current control parameters and the current change value, the control parameter optimization operation is performed under the iterative constraint condition with the maximum damping of the active distribution network to be controlled as the goal, until the preset number of iterations is reached to obtain the final control parameters; and the current state variables are updated according to the current control parameters; the current change value is updated according to the current control parameters and the preset acceleration factor;
[0018] Among them, the current control parameter when the control parameter optimization operation is performed for the first time is the initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is the initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is the initial state variable.
[0019] Further, 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 time constant of phase compensation;
[0020] The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint;
[0021] The iterative K generation-constraint i Condition K - is K:
[0022]
[0023] Among them, Vα represents the first coefficient constraint; V Kc represents the second coefficient constraint; V Tc represents the third coefficient constraint; α max Indicates the maximum value of the first coefficient; α min Indicates the minimum value of the first coefficient; K cmax Indicates the maximum value of the second coefficient; K cmin Indicates the minimum value of the second coefficient; T cmax Indicates the maximum value of the third coefficient; T cmin represents the minimum value of the third coefficient; y represents the preset number of iterations.
[0024] Further, additional damping control is performed according to the grid-side power and preset control parameters to obtain additional current, including:
[0025] Converting the grid-side power into a signal to obtain a grid-side power signal;
[0026] Performing signal smoothing processing on the grid-side power signal to obtain a grid-side power oscillation component;
[0027] Performing phase compensation according to the first coefficient, the third coefficient, and the grid-side power oscillation component to obtain a first signal after phase compensation;
[0028] Perform proportional gain amplification according to the second coefficient and the first signal to obtain an additional current d-axis component;
[0029] The additional current is obtained by performing Park transformation on the d-axis component of the 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] Performing a first current detection according to the grid-side current to calculate and obtain a grid-side current control signal;
[0032] Performing signal conversion on the additional current to obtain an additional current control signal;
[0033] A 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 solution, another embodiment of the present invention provides an active power distribution network coordinated damping control device, including:
[0035] A first data acquisition module is used to acquire the grid-side power and grid-side current of the active power distribution network to be controlled;
[0036] An additional current generating module, used for performing additional damping control according to the grid-side power and preset control parameters to obtain additional current;
[0037] A current control signal generating module, 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, used for controlling the active power distribution network to be controlled according to the converter current control signal;
[0039] Among them, it also includes:
[0040] A second data acquisition module is used to obtain 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 oscillation mode characteristic values;
[0041] The control parameter determination module is used to obtain control parameters by optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled according to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values.
[0042] Furthermore, the control parameter determination module includes:
[0043] A particle number determination unit, used to determine the optimized particle number according to the number of the additional damping controllers; wherein each particle is a set of control parameters;
[0044] A constraint determination unit, used to determine the minimum value and the maximum value of the control parameter according to the control range; and to calculate the iteration constraint condition according to the preset number of iterations, the minimum value and the maximum value of the control parameter;
[0045] An initial value determination unit, used to randomly determine an initial control parameter according to the control range; and randomly determine an initial change value of the control parameter according to an iteration constraint condition;
[0046] A damping determination unit, configured to calculate the damping of the active distribution network to be controlled according to the current state variables and the oscillation mode characteristic values;
[0047] The parameter optimization unit is used to optimize the control parameters under the iterative constraint conditions according to the number of optimized particles, the current control parameters and the current change value, with the maximum damping of the active distribution network to be controlled as the goal, until the preset number of iterations is reached to obtain the final control parameters; and update the current state variables according to the current control parameters; update the current change value according to the current control parameters and the preset acceleration factor;
[0048] Among them, the current control parameter when the control parameter optimization operation is performed for the first time is the initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is the initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is the initial state variable.
[0049] Further, 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 time constant of phase compensation;
[0050] The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint;
[0051] The iteration constraints are:
[0052]
[0053] Among them, V α represents the first coefficient constraint; V Kc represents the second coefficient constraint; V Tc represents the third coefficient constraint; α max Indicates the maximum value of the first coefficient; α min Indicates the minimum value of the first coefficient; K cmax Indicates the maximum value of the second coefficient; K cmin Indicates the minimum value of the second coefficient; T cmax Indicates the maximum value of the third coefficient; T cmin represents the minimum value of the third coefficient; y represents the preset number of iterations.
[0054] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, an active distribution network coordinated damping control method as described in the above embodiment is implemented.
[0055] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute an active distribution network coordinated damping control method described in the above embodiment.
[0056] By implementing the present invention, at least the following beneficial effects are achieved:
[0057] The present invention provides a coordinated damping control method, device, terminal equipment and storage medium for an active distribution network. The method can obtain the grid-side power and grid-side current of an active distribution network to be controlled; perform additional damping control according to the grid-side power and preset control parameters to obtain additional current; perform current detection according to the grid-side current and the additional current to obtain a converter current control signal; and control the active distribution network to be controlled according to the converter current control signal; wherein the determination of the control parameters comprises: obtaining a control range of the control parameters, an initial state variable of the active distribution network to be controlled, the number of additional damping controllers and an oscillation mode characteristic value; and according to the control range, the initial state variable, the number of additional damping controllers and the oscillation mode characteristic value, optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled to obtain the control parameters. By determining the control parameters and taking the maximum damping of the active distribution network as the goal, the different dynamic characteristics of multiple converters and the interaction between multiple additional controls are comprehensively considered. Based on the iterative optimization algorithm, the control parameters of multiple additional controls that maximize the stability of the active distribution network can be determined, and a power grid control method for multiple additional damping controls is realized. BRIEF DESCRIPTION OF THE DRAWINGS
[0058] Figure 1 It is a flow chart of an active distribution network coordinated damping control method provided by one embodiment of the present invention;
[0059] Figure 2 It is an additional damping control block diagram of an active distribution network coordinated damping control method provided by an embodiment of the present invention;
[0060] Figure 3 It is a structural schematic diagram of an active distribution network coordinated damping control device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0062] See also Figure 1 , is a flow chart of an active distribution network coordinated damping control method provided by an embodiment of the present invention, comprising:
[0063] S1. Obtaining the grid-side power and grid-side current of the active distribution network to be controlled;
[0064] S2. performing additional damping control according to the grid-side power and preset control parameters to obtain 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 active distribution network to be controlled according to the converter current control signal;
[0067] Wherein, the determination of the control parameters includes:
[0068] Obtaining 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 oscillation mode characteristic values;
[0069] According to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values, the control parameters are obtained by optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled.
[0070] Specifically, the grid-side current refers to the grid-side current of the converter; the initial state variables of the active distribution network to be controlled refer to the state variables of the active distribution network, such as current, voltage, and phase. The oscillation mode characteristic value can be calculated by the following formula:
[0071] First, establish the state space model of the active distribution network, as shown in the following formula, where X is the state variable of the active distribution network and the A matrix is the coefficient matrix: Solving the following equation, we can get the active distribution network characteristic value [λ1, λ2, ..., λ n ], λ1=R1+jX1, λ2=R2+jX2,...,λ n =R n +jX n The eigenvalue with the largest real part R value is defined as the i-th eigenvalue, λ i :|λI-A|=0.
[0072] In a preferred embodiment of the present invention, the grid-side power and grid-side current of the active distribution network to be controlled are first obtained; then, additional damping control is performed according to the grid-side power and preset control parameters to obtain 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, according to the converter current control signal, the active distribution network to be controlled is controlled; wherein, the determination of the control parameters comprises: obtaining a 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 oscillation modal characteristic values; according to the control range, the initial state variables, the number of additional damping controllers and the oscillation modal characteristic values, optimization is performed based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled to obtain the control parameters.
[0073] Preferably, according to the control range, the initial state variable, the number of the additional damping controllers and the oscillation mode characteristic value, the control parameters are obtained by optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled, including:
[0074] Determining the number of optimized particles according to the number of additional damping controllers; 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 parameter are determined; and according to the preset number of iterations, the minimum value and the maximum value of the control parameter, the iteration constraint condition is calculated;
[0076] Randomly determine the initial control parameter according to the control range; and randomly determine the initial change value of the control parameter according to the iteration constraint condition;
[0077] The damping of the active distribution network to be controlled is calculated according to the current state variables and the oscillation mode characteristic values;
[0078] According to the number of optimized particles, the current control parameters and the current change value, the control parameter optimization operation is performed under the iterative constraint condition with the maximum damping of the active distribution network to be controlled as the goal, until the preset number of iterations is reached to obtain the final control parameters; and the current state variables are updated according to the current control parameters; the current change value is updated according to the current control parameters and the preset acceleration factor;
[0079] Among them, the current control parameter when the control parameter optimization operation is performed for the first time is the initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is the initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is the initial state variable.
[0080] Schematically, 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 time constant of phase compensation;
[0081] The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint;
[0082] The iteration constraints are:
[0083]
[0084]
[0085] Among them, V α represents the first coefficient constraint; represents the second coefficient constraint; represents the third coefficient constraint; α max Indicates the maximum value of the first coefficient; α min Indicates the minimum value of the first coefficient; K cmax Indicates the maximum value of the second coefficient; K cmin Indicates the minimum value of the second coefficient; T cmax Indicates the maximum value of the third coefficient; T cmin represents the minimum value of the third coefficient; y represents the preset number of iterations.
[0086] Specifically, when multiple damping controls are attached to the active distribution network, each control needs to coordinate and optimize the design. In order to maximize the dynamic characteristics of the active distribution network, the optimization target of the control parameters determined in this embodiment is that the eigenvalue with the largest real part of the active distribution network must be located in the left half plane and as far away from the imaginary axis as possible, that is, the maximum damping of the active distribution network to be controlled is the target, that is, the objective function shown in the following formula must be the largest within the possible range:
[0087] J=max[Real(λ i )]
[0088] Where λ i is the eigenvalue of the i-th oscillation mode.
[0089] In a preferred embodiment of the present invention, the number of optimized particles is first determined according to the number of additional damping controllers; wherein each particle is a set of control parameters; then, according to the control range, the minimum and maximum values of the control parameters are determined; and according to the preset number of iterations, the minimum and maximum values of the control parameters, the iteration constraints are calculated; then, 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 iteration constraints; the damping of the active distribution network to be controlled is calculated according to the current state variables and the oscillation mode characteristic values; finally, according to the number of optimized particles, the current control parameters and the current change values, with the maximum damping of the active distribution network to be controlled as the goal, the control parameter optimization operation is performed under the iteration constraints until the preset number of iterations is reached to obtain the final control parameters; and the current state variables are updated according to the current control parameters; the current change values are updated according to the current control parameters and the preset acceleration factors; wherein, the current control parameters when the control parameter optimization operation is performed for the first time are the initial control parameters; the current change values when the control parameter optimization operation is performed for the first time are the initial change values; and the current state variables when the control parameter optimization operation is performed for the first time are the initial state variables.
[0090] In another preferred embodiment of the present invention, the control range of the control parameter 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 variables of the active distribution network to be controlled, the number of additional damping controllers, and the oscillation mode eigenvalues, the coordinated control of the additional damping is transformed into an optimization problem. For example, the particle swarm optimization algorithm is used to obtain the control parameters:
[0095] 1) According to the number of additional damping controllers x in the system, the number of optimized particles n = 20x is determined, and each particle Yi is a set of key parameters of each additional control link X i =[K ci1 ,ɑ ci1 ,T ci1 ,K ci2 ,ɑ ci2 ,T ci2 ,…,K cin ,ɑ cin ,T cin The change value of each particle control parameter between two iterations is V i =[V Kci1 ,V ɑci1 ,VTci1 ,V Kci2 ,V ɑci2 ,V Tci2 ,…,V Kcin ,V ɑcin ,V Tcin ]. Assume that the upper limit of the number of iterations is set to y=40x, the value constraint range of each particle, and the change constraint range of the particle between two iterations are set as follows:
[0096]
[0097] 2) Initialization: Set the number of iterations t = 0, and randomly set n particle initial values (initial control parameters) {X i(0) , i=1,…,n}, randomly set the initial change value of the particle {V i(0) , i=1,…,n}. The initial value of each particle is marked as the individual optimal X ibesti , and compare the objective function J calculated by the initial values of each particle, marking the particle group with the smallest objective function as the global optimal X gbest .
[0098] 3) Update the number of iterations: t=t+1.
[0099] 4) Iteration 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 ith particle, j represents the jth element in the ith particle, c1 and c2 are acceleration factors, which are 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 value update: The value of each particle in the particle swarm is updated 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) Update of individual optimal result: 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 The optimal individual particle X in less than (t-1) iterations ibesti The determined objective function is then updated to the optimal particle X ibesti ; If not, keep the individual optimal particle X ibes t remains unchanged.
[0105] 7) Global optimal result update: Based on the latest particle swarm data, update the global optimal result of the particle swarm. Compare the objective function J calculated by each particle in this iteration t =[J t1 ,J t2 ,J t3 ,…,J tn ], if the minimum objective function of the particle swarm is smaller than the global optimal particle X in the (t-1) iteration gbes t determines the objective function, then the particle with the smallest objective function in the particle swarm of this iteration is updated to the global optimal particle X gbest ; If not, keep the global optimal particle X gbest constant.
[0106] 8) Determine whether the iteration is over: Iteration end condition: A: The global optimal particle remains unchanged for 0.1y iterations; B: The number of iterations t has reached the upper limit y. If one of the iteration end conditions A and B is met, exit the loop; if both are not met, return to step 3).
[0107] Specifically, performing additional damping control according to the grid-side power and preset control parameters to obtain additional current includes:
[0108] Converting the grid-side power into a signal to obtain a grid-side power signal;
[0109] Performing signal smoothing processing on the grid-side power signal to obtain a grid-side power oscillation component;
[0110] Performing phase compensation according to the first coefficient, the third coefficient, and the grid-side power oscillation component to obtain a first signal after phase compensation;
[0111] Perform proportional gain amplification according to the second coefficient and the first signal to obtain an additional current d-axis component;
[0112] The additional current is obtained by performing Park transformation on the d-axis component of the additional current.
[0113] In a preferred embodiment of the present invention, Figure 2As shown, the additional damping control link includes a low-pass filter link, a DC isolation link, a phase compensation link and a proportional gain amplification link, wherein the phase compensation link and the proportional gain amplification link are the key links of the additional damping control. 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 a grid-side power oscillation component, including inputting the grid-side power signal into the formula The low-pass filter outputs the intermediate signal 1, and the intermediate signal 1 input The DC isolation link shown in the figure outputs the intermediate signal 2, which is the grid-side power oscillation component; the intermediate signal 2 is input as The phase compensation link outputs the intermediate signal 3, which is the first signal after phase compensation; the intermediate signal 3 is then low-pass filtered to output the intermediate signal 4; the intermediate signal 4 is input into the proportional gain (Formula G k (s) = K c The additional current d-axis component is outputted by Parker transformation of the additional current d-axis component. Gw(s) is the control function of the DC isolation link, GLP(s) is the control function of the low-pass filter link, Gc(s) is the control function of the phase compensation link, and Gk(s) is the control function of the proportional gain amplifier link. T w1 is the time constant of the DC isolation link, T LP is the time constant of the low-pass filter link, a is the proportional coefficient of the phase compensation link (the first coefficient), T c is the time constant (the third coefficient), and Kc is the amplification coefficient of the proportional gain amplifier (the second coefficient).
[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] Performing a first current detection according to the grid-side current to calculate and obtain a grid-side current control signal;
[0116] Performing signal conversion on the additional current to obtain an additional current control signal;
[0117] A 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.
[0118] In a preferred embodiment of the present invention, Figure 2As shown, the first current detection (first-level current sampling) is performed according to the grid-side current, and the grid-side current control signal is calculated. After the grid-side current of the converter passes through the first-level sampling link, the intermediate current component 1 (grid-side current control signal) is output; then the additional current is converted into a signal to obtain an additional current control signal; finally, the 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, and the intermediate current component 1 is added to the additional current component to obtain the intermediate current component 2 (converter current control signal), and the intermediate current component 2 will be input into the second-level current sampling and then output the signal to the converter control.
[0119] An important part of the additional damping control link is to obtain an additional current signal of appropriate size by phase compensation and proportional amplification of the grid-side power oscillation component. The additional current signal will be input between the two-stage current sampling of the converter, and then input into the converter control link to enhance the system damping. At the same time, in order to reduce the impact on the internal control of the converter and keep the current size of the additional control link within a reasonable range, this embodiment adds the additional current signal between the first and second sampling links of the converter grid-side current, and then inputs it into the converter control.
[0120] By implementing this embodiment, the grid-side power and grid-side current of the active distribution network to be controlled can be obtained; additional damping control is performed according to the grid-side power and preset control parameters to obtain additional current; current detection is performed according to the grid-side current and the additional current to obtain a converter current control signal; the active distribution network to be controlled is controlled according to the converter current control signal; wherein, the determination of the control parameters includes: obtaining 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 oscillation mode characteristic values; according to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values, with the maximum damping of the active distribution network to be controlled as the goal, optimization is performed based on the optimization algorithm to obtain the control parameters. By determining the control parameters, with the maximum damping of the active distribution network as the goal, the different dynamic characteristics between multiple converters and the interaction between multiple additional controls are comprehensively considered, and iterative optimization is performed based on the optimization algorithm, so that the control parameters of multiple additional controls that maximize the stability of the active distribution network can be determined, and a grid control method for multiple additional damping controls is realized.
[0121] See also Figure 2 , is a structural diagram of an active distribution network coordinated damping control device provided by an embodiment of the present invention, comprising:
[0122] A first data acquisition module is used to acquire the grid-side power and grid-side current of the active power distribution network to be controlled;
[0123] An additional current generating module, used for performing additional damping control according to the grid-side power and preset control parameters to obtain additional current;
[0124] A current control signal generating 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, used for controlling the active power distribution network to be controlled according to the converter current control signal;
[0126] Among them, it also includes:
[0127] A second data acquisition module is used to obtain 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 oscillation mode characteristic values;
[0128] The control parameter determination module is used to obtain control parameters by optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled according to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values.
[0129] Specifically, the control parameter determination module includes:
[0130] A particle number determination unit, used to determine the optimized particle number according to the number of the additional damping controllers; wherein each particle is a set of control parameters;
[0131] A constraint determination unit, used to determine the minimum value and the maximum value of the control parameter according to the control range; and to calculate the iteration constraint condition according to the preset number of iterations, the minimum value and the maximum value of the control parameter;
[0132] An initial value determination unit, used to randomly determine an initial control parameter according to the control range; and randomly determine an initial change value of the control parameter according to an iteration constraint condition;
[0133] A damping determination unit, configured to calculate the damping of the active distribution network to be controlled according to the current state variables and the oscillation mode characteristic values;
[0134] The parameter optimization unit is used to optimize the control parameters under the iterative constraint conditions according to the number of optimized particles, the current control parameters and the current change value, with the maximum damping of the active distribution network to be controlled as the goal, until the preset number of iterations is reached to obtain the final control parameters; and update the current state variables according to the current control parameters; update the current change value according to the current control parameters and the preset acceleration factor;
[0135] Among them, the current control parameter when the control parameter optimization operation is performed for the first time is the initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is the initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is the initial state variable.
[0136] Preferably, 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 time constant of phase compensation;
[0137] The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint;
[0138] The iteration constraints are:
[0139]
[0140] Among them, V α represents the first coefficient constraint; represents the second coefficient constraint; represents the third coefficient constraint; α max Indicates the maximum value of the first coefficient; α min Indicates the minimum value of the first coefficient; K cmax Indicates the maximum value of the second coefficient; K cmin Indicates the minimum value of the second coefficient; T cmax Indicates the maximum value of the third coefficient; T cmin represents the minimum value of the third coefficient; y represents the preset number of iterations.
[0141] The present invention provides a coordinated damping control device for an active distribution network. The device obtains the grid-side power and grid-side current of an active distribution network to be controlled according to a first data acquisition module; performs additional damping control according to the grid-side power and preset control parameters in an additional current generation module to obtain additional current; performs current detection according to the grid-side current and the additional current through a current control signal generation module to obtain a converter current control signal; and finally controls the active distribution network to be controlled according to the converter current control signal through a coordinated damping control module; wherein, 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 oscillation mode characteristic values are obtained according to a second data acquisition module; and in a control parameter determination module, optimizes according to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled to obtain control parameters. By determining the control parameters and taking the maximum damping of the active distribution network as the goal, the different dynamic characteristics of multiple converters and the interaction between multiple additional controls are comprehensively considered. Based on the iterative optimization algorithm, the control parameters of multiple additional controls that maximize the stability of the active distribution network can be determined, and a power grid control method for multiple additional damping controls is realized.
[0142] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.
[0143] Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.
[0144] Another embodiment of the present invention further provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements an active distribution network coordinated damping control method as described in the above embodiment when executing the computer program. The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.
[0145] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.
[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 the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; 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 non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device or other volatile solid-state storage device.
[0147] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute an active distribution network coordinated damping control method described in the above embodiment.
[0148] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.
[0149] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.
Claims
1. A coordinated damping control method for an active distribution network, characterized in that: include: Obtaining the grid-side power and grid-side current of the active distribution network to be controlled; Performing additional damping control according to the grid-side power and preset control parameters to obtain additional current; Performing current detection according to the grid-side current and the additional current to obtain a converter current control signal; Controlling the active power distribution network to be controlled according to the converter current control signal; Wherein, the determination of the control parameters includes: Obtaining 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 oscillation mode characteristic values; According to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values, the control parameters are obtained by optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled.
2. The active distribution network coordinated damping control method according to claim 1, characterized in that: According to the control range, the initial state variable, the number of additional damping controllers and the oscillation mode characteristic value, the control parameters are obtained by optimizing based on the optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled, including: Determine the number of optimized particles according to the number of additional damping controllers; wherein each particle is a set of control parameters; According to the control range, the minimum value and the maximum value of the control parameter are determined; and according to the preset number of iterations, the minimum value and the maximum value of the control parameter, the iteration constraint condition is calculated; Randomly determine the initial control parameter according to the control range; and randomly determine the initial change value of the control parameter according to the iteration constraint condition; The damping of the active distribution network to be controlled is calculated according to the current state variables and the oscillation mode characteristic values; According to the number of optimized particles, the current control parameters and the current change value, the control parameter optimization operation is performed under the iterative constraint condition with the maximum damping of the active distribution network to be controlled as the goal, until the preset number of iterations is reached to obtain the final control parameters; and the current state variables are updated according to the current control parameters; the current change value is updated according to the current control parameters and the preset acceleration factor; Among them, the current control parameter when the control parameter optimization operation is performed for the first time is the initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is the initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is the initial state variable.
3. The active distribution network coordinated damping control method according to claim 2, 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 a time constant of phase compensation; The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint; The iterative-constraint i Condition K - is K: i Among them, V α represents the first coefficient constraint; represents the second coefficient constraint; represents the third coefficient constraint; α max Indicates the maximum value of the first coefficient; α min Indicates the minimum value of the first coefficient; K cmax Indicates the maximum value of the second coefficient; K cmin Indicates the minimum value of the second coefficient; T cmax Indicates the maximum value of the third coefficient; T cmin represents the minimum value of the third coefficient; y represents the preset number of iterations.
4. The active distribution network coordinated damping control method according to claim 1, characterized in that: Performing additional damping control according to the grid-side power and preset control parameters to obtain additional current includes: Converting the grid-side power into a signal to obtain a grid-side power signal; Performing signal smoothing processing on the grid-side power signal to obtain a grid-side power oscillation component; Performing phase compensation according to the first coefficient, the third coefficient, and the grid-side power oscillation component to obtain a first signal after phase compensation; Perform proportional gain amplification according to the second coefficient and the first signal to obtain an additional current d-axis component; The additional current is obtained by performing Park transformation on the d-axis component of the additional current.
5. The active distribution network coordinated damping control method according to claim 1, characterized in that: Current sampling is performed according to the grid-side current and the additional current to obtain a converter current control signal, including: Performing a first current detection according to the grid-side current to calculate and obtain a grid-side current control signal; Performing signal conversion on the additional current to obtain an additional current control signal; A 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.
6. An active distribution network coordinated damping control device, characterized in that: include: A first data acquisition module is used to acquire the grid-side power and grid-side current of the active power distribution network to be controlled; An additional current generating module, used for performing additional damping control according to the grid-side power and preset control parameters to obtain additional current; A current control signal generating module, configured to perform current detection according to the grid-side current and the additional current to obtain a converter current control signal; A coordinated damping control module, used for controlling the active power distribution network to be controlled according to the converter current control signal; Among them, it also includes: A second data acquisition module is used to obtain 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 oscillation mode characteristic values; The control parameter determination module is used to obtain control parameters by optimizing based on an optimization algorithm with the goal of maximizing the damping of the active distribution network to be controlled according to the control range, the initial state variables, the number of additional damping controllers and the oscillation mode characteristic values.
7. An active power distribution network coordinated damping control device as claimed in claim 6, characterized in that: The control parameter determination module comprises: A particle number determination unit, used to determine the optimized particle number according to the number of the additional damping controllers; wherein each particle is a set of control parameters; A constraint determination unit, used to determine the minimum value and the maximum value of the control parameter according to the control range; and to calculate the iteration constraint condition according to the preset number of iterations, the minimum value and the maximum value of the control parameter; An initial value determination unit, used to randomly determine an initial control parameter according to the control range; and randomly determine an initial change value of the control parameter according to an iteration constraint condition; A damping determination unit, configured to calculate the damping of the active distribution network to be controlled according to the current state variables and the oscillation mode characteristic values; The parameter optimization unit is used to optimize the control parameters under the iterative constraint conditions according to the number of optimized particles, the current control parameters and the current change value, with the maximum damping of the active distribution network to be controlled as the goal, until the preset number of iterations is reached to obtain the final control parameters; and update the current state variables according to the current control parameters; update the current change value according to the current control parameters and the preset acceleration factor; Among them, the current control parameter when the control parameter optimization operation is performed for the first time is the initial control parameter; the current change value when the control parameter optimization operation is performed for the first time is the initial change value; and the current state variable when the control parameter optimization operation is performed for the first time is the initial state variable.
8. An active power distribution network coordinated damping control device as claimed in claim 6, 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 a time constant of phase compensation; The iteration constraint condition includes a first coefficient constraint, a second coefficient constraint and a third coefficient constraint; The iterative-constraint i Condition K - is K: i Among them, V α represents the first coefficient constraint; represents the second coefficient constraint; represents the third coefficient constraint; α max Indicates the maximum value of the first coefficient; α min Indicates the minimum value of the first coefficient; K cmax Indicates the maximum value of the second coefficient; K cmin Indicates the minimum value of the second coefficient; T cmax Indicates the maximum value of the third coefficient; T cmin represents the minimum value of the third coefficient; y represents the preset number of iterations.
9. A terminal device, characterized in that: The invention comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, an active distribution network coordinated damping control method as claimed in any one of claims 1 to 5 is implemented.
10. 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, the device where the computer-readable storage medium is located is controlled to execute an active distribution network coordinated damping control method as described in any one of claims 1 to 5.
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