Synchronous control method and system for virtual power plant at distribution network side

Abstract

The invention discloses a distribution network side virtual power plant synchronous control method and system. The method comprises the steps that the frequency fluctuation quantity at a grid connection point of a distribution network side virtual power plant and the expected overall active power-frequency transfer characteristic of the distribution network side virtual power plant are acquired; according to the active contribution coefficient of each cluster in the distribution network side virtual power plant, the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant is allocated to each cluster, and the reference active-frequency transfer characteristic of each cluster is obtained; according to the reference active power-frequency transfer characteristics of each cluster and the frequency fluctuation quantity at the grid-connected point of the virtual power plant at the distribution network side, determining the overall active power regulation quantity reference value of each cluster; determining an active power regulation quantity reference value of each unit in each cluster according to the overall active power regulation quantity reference value of each cluster; and controlling each device according to the active power regulation quantity reference value of each unit. Accurate synchronous control of the distribution network side virtual power plant is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid control, and particularly to a synchronous control method and system for a virtual power plant on the distribution network side. Background Technique

[0002] The statements in this part only provide background technical information related to the present invention and do not necessarily constitute prior art.

[0003] Since the proportion of thermal power units in the power grid has been decreasing year by year, and most new energy units are connected to the power grid through power electronic interfaces, the inertia of the power grid has decreased significantly. It is difficult to achieve rapid support during power disturbances, and the system frequency response ability has decreased significantly. At the same time, although there are a large number of adjustable distributed resources on the distribution side, their individual adjustment capabilities are limited and geographically dispersed, making it difficult to participate in power grid regulation as an independent entity. In this context, in order to fully utilize the power support potential of controllable photovoltaic, energy storage, adjustable load and other resources on the distribution network side and maintain the safety and stability of the power grid frequency, the adjustable resources on the distribution network side can be aggregated into a virtual power plant for unified regulation.

[0004] In terms of time scale, existing research on virtual power plants participating in power regulation mostly focuses on peak shaving and secondary frequency modulation, mainly paying attention to the power regulation ability of virtual power plants on medium and long time scales, ignoring their power support ability on short time scales, and it is difficult to fully utilize the fast response advantages of large-scale flexible regulation resources.

[0005] In terms of control objects, existing virtual synchronization control schemes are mostly designed with inverters as objects, making it difficult to customize the overall active-frequency response characteristics of virtual power plants, and less considering the influence of disturbance factors such as uncertainty of distributed power generation output and power coupling in the control design process, resulting in a decrease in control accuracy. Therefore, how to design an effective synchronization control method for the actual scenario of virtual power plants on the distribution network side still needs further research. Summary of the Invention

[0006] In order to solve the above problems, the present invention proposes a synchronous control method and system for a virtual power plant on the distribution network side, which improves the frequency response ability of the virtual power plant on the distribution network side.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] In the first aspect, a synchronous control method for a virtual power plant on the distribution network side is proposed, including:

[0009] Obtain the frequency fluctuation amount at the connection point of the virtual power plant on the distribution network side and the desired overall active-frequency transfer characteristic of the virtual power plant on the distribution network side;

[0010] According to the active contribution coefficients of each cluster in the distribution network side virtual power plant, the expected overall active - frequency transfer characteristics of the distribution network side virtual power plant are allocated to each cluster to obtain the reference active - frequency transfer characteristics of each cluster;

[0011] According to the reference active - frequency transfer characteristics of each cluster and the frequency fluctuation amount at the connection point of the distribution network side virtual power plant, the reference value of the overall active power regulation amount of each cluster is determined;

[0012] According to the reference value of the overall active power regulation amount of each cluster, the reference value of the active power regulation amount of each unit within each cluster is determined;

[0013] According to the reference value of the active power regulation amount of each unit, each device is controlled.

[0014] Furthermore, according to the response time of each cluster, the active contribution coefficient of each cluster is determined.

[0015] Furthermore, for a cluster with a response time greater than the second set threshold, a low - pass filter is used to determine the active contribution coefficient of this cluster;

[0016] For a cluster with a response time greater than the first set threshold and less than or equal to the second set threshold, a band - pass filter is used to determine the active contribution coefficient of this cluster;

[0017] For a cluster with a response time less than or equal to the first set threshold, a high - pass filter is used to determine the active contribution coefficient of this cluster.

[0018] Furthermore, the sum of the active contribution coefficients of all clusters is 1.

[0019] Furthermore, the active contribution coefficient of each cluster is multiplied by the expected overall active - frequency transfer characteristics of the distribution network side virtual power plant to obtain the reference active - frequency transfer characteristics of each cluster.

[0020] Furthermore, with the goal of minimizing the power tracking error, the power distribution model within the cluster is solved to determine the reference value of the active power regulation amount of each unit within the cluster.

[0021] In the second aspect, a synchronous control system for a distribution network side virtual power plant is proposed, including:

[0022] A data acquisition unit, which is used to acquire the frequency fluctuation amount at the connection point of the distribution network side virtual power plant and the expected overall active - frequency transfer characteristics of the distribution network side virtual power plant;

[0023] A cluster allocation unit, which is used to allocate the expected overall active - frequency transfer characteristic of the virtual power plant on the distribution network side to each cluster according to the active contribution coefficients of the clusters in the virtual power plant on the distribution network side, so as to obtain the reference active - frequency transfer characteristics of each cluster; and determine the reference value of the overall active power regulation amount of each cluster according to the reference active - frequency transfer characteristics of each cluster and the frequency fluctuation amount at the connection point of the virtual power plant on the distribution network side.

[0024] An equipment allocation unit, which is used to determine the reference value of the active power regulation amount of each unit in each cluster according to the reference value of the overall active power regulation amount of each cluster.

[0025] An equipment control unit, which is used to control each device according to the reference value of the active power regulation amount of each unit.

[0026] In a third aspect, a computer device is proposed, and the device includes:

[0027] A processor, which is suitable for executing a computer program;

[0028] A computer - readable storage medium, in which a computer program is stored, and when the computer program is executed by the processor, it implements a synchronous control method for a virtual power plant on the distribution network side proposed in the first aspect.

[0029] In a fourth aspect, a computer - readable storage medium is proposed, and the computer - readable storage medium stores a computer program, and the computer program is suitable for being loaded and executed by a processor to implement a synchronous control method for a virtual power plant on the distribution network side proposed in the first aspect.

[0030] In a fifth aspect, a computer program product is proposed, and the computer program product includes a computer program, and when the computer program is executed by a processor, it implements a synchronous control method for a virtual power plant on the distribution network side proposed in the first aspect.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] A synchronous control method and system for a distribution network side virtual power plant proposed by the present invention. The method distributes the desired overall active power - frequency transfer characteristic of the distribution network side virtual power plant to each cluster according to the active power contribution coefficients of the clusters in the distribution network side virtual power plant, and obtains the reference active power - frequency transfer characteristic of each cluster; determines the reference value of the overall active power regulation amount of each cluster according to the reference active power - frequency transfer characteristic of each cluster and the frequency fluctuation amount at the connection point of the distribution network side virtual power plant; determines the reference value of the active power regulation amount of each unit in each cluster according to the reference value of the overall active power regulation amount of each cluster; controls each device according to the reference value of the active power regulation amount of each unit, so that the virtual power plant as a whole has the specified external active power - frequency response characteristic, thereby quickly providing active power support to suppress system frequency fluctuations, and effectively improving the ability of the distribution network side virtual power plant to participate in system frequency regulation.

[0033] Advantages of additional aspects of the present invention will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The specification drawings forming a part of this application are used to provide a further understanding of this application. The schematic embodiments and descriptions thereof of this application are used to explain this application and do not constitute an improper limitation to this application.

[0035] Figure 1 Overall flowchart of a synchronous control method for a distribution network side virtual power plant disclosed in the embodiment;

[0036] Figure 2 Structural model of a synchronous control for a distribution network side virtual power plant disclosed in the embodiment;

[0037] Figure 3 Flowchart for solving the active power contribution coefficients of each cluster disclosed in the embodiment;

[0038] Figure 4 Topological diagram of the simulation system disclosed in the embodiment;

[0039] Figure 5 Active power - frequency response characteristic curve graph disclosed in the embodiment;

[0040] Figure 6 Graph showing the frequency response tracking reference value situation disclosed in the embodiment;

[0041] Figure 7 Output curve graph of each controllable resource cluster disclosed in the embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The present invention will be further described below in conjunction with the drawings and embodiments.

[0043] It should be noted that the following detailed description is illustrative and aims to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present application belongs.

[0044] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0045] In the case of no conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0046] Embodiment 1

[0047] In this embodiment, a synchronous control method for a distribution network side virtual power plant is disclosed. As Figures 1 - 3 shown, it includes:

[0048] Obtaining the frequency fluctuation amount at the connection point of the distribution network side virtual power plant and the desired overall active-power frequency transfer characteristic of the distribution network side virtual power plant;

[0049] According to the active power contribution coefficients of each cluster in the distribution network side virtual power plant, distributing the desired overall active-power frequency transfer characteristic of the distribution network side virtual power plant to each cluster to obtain the reference active-power frequency transfer characteristic of each cluster;

[0050] Determining the reference value of the overall active power regulation amount of each cluster according to the reference active-power frequency transfer characteristic of each cluster and the frequency fluctuation amount at the connection point of the distribution network side virtual power plant;

[0051] Determining the reference value of the active power regulation amount of each unit in each cluster according to the reference value of the overall active power regulation amount of each cluster;

[0052] Controlling each device according to the reference value of the active power regulation amount of each unit.

[0053] Taking three typical adjustable resources on the distribution network side, namely distributed photovoltaic, distributed energy storage, and electric vehicles, as examples, a synchronous control method for a distribution network side virtual power plant proposed in this embodiment is described in detail.

[0054] This embodiment first constructs a synchronous control structure model for the distribution network side virtual power plant. The virtual synchronous generation control is designed by simulating the inertia and damping characteristics of a traditional synchronous generator, and the relationship between its frequency and active power can be expressed as follows:

[0055]

[0056] where: J is the virtual inertia, ω is the angular velocity, ω n is the reference value of the angular velocity, t is the time, P m is the mechanical power, P e is the output active power, and D is the damping coefficient. By analogy with the above control principle, the expected active - frequency response characteristics of the overall virtual power plant after virtual synchronization can be expressed as follows:

[0057]

[0058] where: ΔP vpp (s) is the change in the external active power output at the connection point of the distribution network - side virtual power plant, J vpp is the overall virtual inertia of the virtual power plant, D vpp is its overall damping coefficient, τ vpp is its equivalent time constant, Δf(s) is the frequency fluctuation at the connection point of the distribution network - side virtual power plant, T ref (s) is the expected overall active - frequency transfer characteristic of the distribution network - side virtual power plant.

[0059] Based on the above objectives, the synchronous control structure model of the distribution network - side virtual power plant is designed as Figure 2 shown, and its mathematical model is as follows:

[0060]

[0061] where: are the reference active - frequency transfer characteristics of the controllable distributed photovoltaic cluster, distributed energy storage cluster, and electric vehicle cluster in the virtual power plant respectively, and this characteristic is reflected by the function, are the reference values of the overall active power regulation amounts of the photovoltaic cluster, energy storage cluster, and electric vehicle cluster respectively, are the reference values of the active power regulation amounts of the i - th photovoltaic unit in the distributed photovoltaic cluster, the j - th energy storage unit in the distributed energy storage cluster, and the m - th electric vehicle unit in the electric vehicle cluster respectively. n1, n2, and n3 are the numbers of controllable photovoltaic units in the photovoltaic cluster, energy storage units in the energy storage cluster, and controllable units in the electric vehicle cluster in the virtual power plant respectively.

[0062] As can be seen from the above model, the synchronous control of the virtual power plant on the distribution network side can be divided into two parts: 1) Inter-cluster power distribution: The measured frequency fluctuation at the grid connection point is converted into the reference value of the overall active power regulation amount of each adjustable resource cluster through the inter-cluster power distribution module based on the active contribution coefficient, and this instruction is sent to the centralized control module of each cluster; 2) Intra-cluster power distribution: The reference value of the active power regulation amount of each adjustable unit within the cluster is solved through the intra-cluster power distribution module based on hybrid robust control and sent to the inverters of each adjustable device. On this basis, each adjustable device inverter quickly tracks the expected output value, and the virtual power plant as a whole can exhibit the expected active-frequency response characteristics.

[0063] In this embodiment, the active contribution coefficients of each cluster are determined according to the response time of each cluster.

[0064] For clusters with a response time greater than the second set threshold, a low-pass filter is used to determine the active contribution coefficient of the cluster;

[0065] For clusters with a response time greater than the first set threshold and less than or equal to the second set threshold, a band-pass filter is used to determine the active contribution coefficient of the cluster;

[0066] For clusters with a response time less than or equal to the first set threshold, a high-pass filter is used to determine the active contribution coefficient of the cluster.

[0067] In addition, the sum of the active contribution coefficients of all clusters is 1.

[0068] Specifically:

[0069] The active contribution coefficient β k (s) is as follows:

[0070]

[0071] In the formula: T k (s) is the active-frequency transfer function of the distributed power generation cluster k. The meaning of β k (s) is: decomposing the overall active-frequency transfer characteristics of the virtual power plant on the distribution network side to each distributed power generation cluster k. The constraint conditions that β k (s) must satisfy are as follows:

[0072]

[0073] The selection of the active contribution coefficients of each cluster matches the dynamic characteristics of the active power output of each controllable resource. Therefore, the response time τ k of each cluster device can be referred to, and different filters are used to calculate and determine the active contribution coefficients of each cluster.

[0074] The response time τ kClusters greater than the second set threshold can provide steady-state active power regulation for a relatively long period of time. The low-pass filter for calculating the active power contribution coefficient of this cluster is:

[0075]

[0076] In the formula: K and d are constant coefficients and are always positive values, and s is the Laplace operator.

[0077] Clusters with a response time less than or equal to the first set threshold can quickly store and release energy. The high-pass filter for calculating the active power contribution coefficient of this cluster is:

[0078]

[0079] Clusters with a response time greater than the first set threshold and less than or equal to the second set threshold are devices between the above two types of clusters. The band-pass filter for calculating the active power contribution coefficient of this cluster is:

[0080]

[0081] In the formula: τ m,1 , τ m,2 are the given response time constants of the band-pass filter respectively, and there is τ m,1 < τ m < τ m,2 , τ m is the response time of this cluster.

[0082] Based on the prediction data of the adjustable resources of the virtual power plant, the active power contribution coefficients of each cluster at 24 moments of the next day can be solved in the day-ahead stage. The specific solution process is as Figure 3 shown and can be described as follows:

[0083] 1) Obtain the desired overall active power-frequency transfer characteristic T ref (s) of the virtual power plant on the distribution network side. Specifically: According to the day-ahead prediction data, determine the types and quantities of the adjustable resources in the virtual power plant at 24 moments of the next day respectively, and determine the desired overall active power-frequency transfer characteristic T ref (s) of the virtual power plant on the distribution network side;

[0084] 2) According to the adjustable resources and their parameters in each period, use a low-pass filter to determine the active power contribution coefficient of the distributed power generation cluster with low-pass characteristics, and assign this active power contribution coefficient to this cluster, which refers to the adjustable distributed photovoltaic cluster in the present invention;

[0085] 3) According to the adjustable resources and their parameters in each period, use a high-pass filter to determine the active power contribution coefficient of the distributed power generation cluster with high-pass characteristics, and assign this active power contribution coefficient to this cluster, which refers to the distributed energy storage cluster in the present invention;

[0086] 4) Based on the sum of the active contribution coefficients of all clusters being 1, solve for the active contribution coefficient of the distributed power source cluster with band-pass characteristics, and assign this active contribution coefficient to the cluster, which refers to the electric vehicle cluster in the present invention.

[0087] It should be noted that although the above solution process is based on the specific scenario of the virtual power plant on the distribution network side proposed in this article and only involves three types of distributed energy sources, namely photovoltaic, energy storage, and electric vehicles, its idea is general. If there are other types of adjustable distributed energy sources in the virtual power plant, the form and specific values of their active contribution coefficients can be determined according to the above rules based on the response time parameters of each distributed energy source cluster.

[0088] Multiply the active contribution coefficient β k (s) of each cluster by the desired overall active-power - frequency transfer characteristic T ref (s) of the virtual power plant on the distribution network side to obtain the reference active-power - frequency transfer characteristic T k (s) of each cluster. T k (s) is or

[0089] Taking the minimum power tracking error as the goal, solve the power distribution model within the cluster to determine the reference value of the active power adjustment amount for each unit within the cluster.

[0090] In the present invention, the photovoltaic cluster is taken as an example to illustrate the specific process method of control design. The controllers of other types of distributed power source clusters can also be designed with reference to the following process, so it will not be elaborated here.

[0091] Different from traditional virtual synchronous generators, there are more interference and uncertainty factors in the distributed power source cluster system. First, the access positions of distributed power sources in the distribution network are scattered, and the medium- and low-voltage lines connecting various devices make the power coupling characteristics more obvious, and numerous random loads also bring greater power disturbances. Second, the small-signal model used for the control of distributed power sources is not an accurate model, ignoring some dynamic characteristics and uncertain factors that are difficult to account for, which also affects the performance of the controller. Therefore, in this embodiment, a hybrid robust control method is adopted to improve the robustness of the cluster system control.

[0092] According to existing research, simplify the detailed control model of the photovoltaic inverter. Within an acceptable error range, its active power dynamic transfer characteristic can be represented by a first-order inertia link as follows:

[0093]

[0094] where: ΔP pv,i is the change in the actual active power output of the i-th photovoltaic unit in the photovoltaic cluster, and ΔP solar,iis the change in the DC-side input active power of the i-th PV inverter, and τ pv,i is its inertia time constant. For controllable distributed PVs operating in the load shedding control mode, it can be considered that the change in its input active power is the reference value of the active power regulation amount of this unit issued by the cluster controller, that is Therefore, its simplified inverter model can be further expressed as:

[0095]

[0096] Assume that after power distribution among clusters, the reference value of the overall active power regulation amount of the distributed PV cluster is Then, considering the tracking error, the actual power regulation model of its internal actual power regulation situation can be expressed as follows:

[0097]

[0098] where: ΔP d (s) is the power tracking error.

[0099] The in-cluster power distribution model includes the simplified inverter model and the actual power regulation model.

[0100] Based on the simplified PV inverter model and the actual power regulation model, and discretizing the above models, the discretized state-space model of the in-cluster power distribution control can be obtained as follows:

[0101]

[0102] where: x(k) is the overall state variable of the PV cluster control, u(k) is the overall control variable, w(k) is the overall disturbance variable, y(k) is the output variable, and A, B1, B2, C are parameter matrices. The specific expressions of the above variables are as follows:

[0103]

[0104] y(k) = ΔP d (k)

[0105] Based on the above state-space equation, using the robust mixed H2 / H ∞ control method, by setting performance indicators, the control problem of the above power distribution can be transformed into a problem of system norm boundedness and minimum value, and then the feedback control matrix can be obtained by solving linear matrix inequalities. The solution to the above mixed robust control problem can be expressed as:

[0106]

[0107] where: ||T(s)|| ∞, ||T(s)||2 are the H ∞ norm and H2 norm indexes of the controlled system, and γ1, γ2 are the set performance parameters respectively. By solving the above formula, the state feedback control matrix K of the photovoltaic cluster system can be obtained, and the reference value of the active power adjustment amount of each photovoltaic, that is, the feedback control input, can be obtained from the following formula:

[0108] u(k) = Kx(k) (14)

[0109] To verify the effectiveness of the synchronous control method of the virtual power plant on the distribution network side provided in this embodiment, simulation analysis is carried out based on the improved IEEE 3-machine 9-node system and 33-node system. The simulation topology is as Figure 4 shown.

[0110] As Figure 4 shown, three types of controllable resource clusters, namely controllable photovoltaic, energy storage, and electric vehicle, are connected to the inside of the 33-node distribution network. The overall desired active-frequency transfer characteristic T ref (s) of the virtual power plant on the distribution network side in this scenario is:

[0111]

[0112] In the formula: H is the overall active-frequency transfer characteristic of the virtual power plant on the distribution network side, taking 12s; D is its overall damping coefficient, taking 33s; τ is its response time constant, taking 0.2s.

[0113] At 5s, simulate the scenario of injecting a 12MW load at bus 3 in the system, and observe the frequency response of the system under two conditions: without using the control method and using the control method proposed in this embodiment, as Figure 5 shown.

[0114] As Figure 5 can be seen, when the control method proposed in this embodiment is not used, the virtual power plant on the distribution network side does not have the active power support ability as a whole. Only relying on generators No. 1 and No. 2 and the energy storage based on droop control in the distribution network for primary frequency modulation, the maximum amplitude of the system frequency fluctuation is 0.22Hz, which has exceeded the specified frequency safety range. If the control method proposed in this embodiment is used, by coordinating photovoltaic, energy storage, and electric vehicles for auxiliary frequency modulation, the system frequency fluctuation can be suppressed to a certain extent, and its maximum frequency fluctuation amplitude is 0.19Hz, meeting the safety requirements.

[0115] Figure 6 shows the comparison between the actual aggregated response of the virtual power plant on the distribution network side and its theoretical reference value. It can be seen that the virtual power plant on the distribution network side can accurately show the required active-frequency response characteristics at the grid connection point.

[0116] During this period, the output of each controllable resource cluster using the internal power distribution strategy of the hybrid robust control cluster is asFigure 7 As shown, it can be seen that each distributed resource cluster can quickly adjust its active output according to requirements to achieve power support.

[0117] Among them, Figures 4 - 7 the method proposed in is the synchronous control method of the distribution network side virtual power plant proposed in the embodiments of this application.

[0118] The synchronous control method of the distribution network side virtual power plant proposed by the present invention can make full use of the response capabilities of different distributed resources, enabling the overall virtual power plant to have the specified external active-frequency response characteristics, thereby quickly providing active power support to suppress system frequency fluctuations and effectively improving the ability of the distribution network side virtual power plant to participate in system frequency regulation.

[0119] The synchronous control method of the distribution network side virtual power plant proposed by the present invention takes into account various disturbance factors such as the uncertainty of distributed power generation output, the power coupling characteristics of medium- and low-voltage lines, and model uncertainty during the internal power distribution of the cluster, improving the robustness of power distribution and achieving reasonable and rapid power distribution within the distributed power cluster.

[0120] Embodiment 2

[0121] In this embodiment, a synchronous control system for a distribution network side virtual power plant is disclosed, including:

[0122] A data acquisition unit for acquiring the frequency fluctuation amount at the connection point of the distribution network side virtual power plant and the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant;

[0123] A cluster allocation unit for allocating the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant to each cluster according to the active contribution coefficient of each cluster in the distribution network side virtual power plant to obtain the reference active-frequency transfer characteristic of each cluster; and determining the reference value of the overall active power adjustment amount of each cluster according to the reference active-frequency transfer characteristic of each cluster and the frequency fluctuation amount at the connection point of the distribution network side virtual power plant;

[0124] An equipment allocation unit for determining the reference value of the active power adjustment amount of each unit in each cluster according to the reference value of the overall active power adjustment amount of each cluster;

[0125] An equipment control unit for controlling each device according to the reference value of the active power adjustment amount of each unit.

[0126] The present invention also discloses a computer device, which includes:

[0127] A processor suitable for executing a computer program;

[0128] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a synchronous control method for a distribution network side virtual power plant disclosed in Embodiment 1.

[0129] The present invention also discloses a computer-readable storage medium storing a computer program, which is adapted to be loaded and executed by a processor to implement a synchronous control method for a distribution network side virtual power plant disclosed in Embodiment 1.

[0130] The present invention also discloses a computer program product, which includes a computer program that, when executed by a processor, implements a synchronous control method for a distribution network side virtual power plant disclosed in Embodiment 1.

[0131] The method disclosed in Embodiment 1 can be directly embodied as being executed by a hardware processor, or by a combination of hardware and software modules in the processor. The software modules can be located in well-known storage media in the art such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method. To avoid repetition, it will not be described in detail here.

[0132] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with this embodiment can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0133] Although the specific implementation manners of the present invention have been described above in conjunction with the accompanying drawings, it is not a limitation to the protection scope of the present invention. Those skilled in the art should understand that, based on the technical solution of the present invention, various modifications or deformations that can be made by those skilled in the art without creative efforts are still within the protection scope of the present invention.

Claims

1. A synchronous control method for a virtual power plant on the distribution network side, characterized in that, Including: Obtain the frequency fluctuation amount at the connection point of the distribution network side virtual power plant and the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant; According to the active contribution coefficients of each cluster in the distribution network side virtual power plant, allocate the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant to each cluster to obtain the reference active-frequency transfer characteristic of each cluster; Determine the reference value of the overall active power regulation amount of each cluster according to the reference active-frequency transfer characteristic of each cluster and the frequency fluctuation amount at the connection point of the distribution network side virtual power plant; Determine the reference value of the active power regulation amount of each unit in each cluster according to the reference value of the overall active power regulation amount of each cluster; Control each device according to the reference value of the active power regulation amount of each unit.

2. The synchronous control method of a virtual power plant on the distribution network side according to claim 1, characterized in that, Determine the active contribution coefficients of each cluster according to the response time of each cluster.

3. The synchronous control method of a distribution network side virtual power plant according to claim 2, characterized in that, For clusters with a response time greater than the second set threshold, use a low-pass filter to determine the active contribution coefficient of the cluster; For clusters with a response time greater than the first set threshold and less than or equal to the second set threshold, use a band-pass filter to determine the active contribution coefficient of the cluster; For clusters with a response time less than or equal to the first set threshold, use a high-pass filter to determine the active contribution coefficient of the cluster.

4. The synchronous control method of a virtual power plant on the distribution network side according to claim 2, wherein, The sum of the active contribution coefficients of all clusters is 1.

5. The synchronous control method of a virtual power plant on the distribution network side according to claim 1, characterized in that, Multiply the active contribution coefficients of each cluster by the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant to obtain the reference active-frequency transfer characteristic of each cluster.

6. The synchronous control method of a virtual power plant on the distribution network side according to claim 1, wherein Taking the minimum power tracking error as the goal, solve the power distribution model within the cluster to determine the reference value of the active power regulation amount of each unit within the cluster.

7. A virtual power plant synchronization control system on the distribution network side, characterized in that, Including: A data acquisition unit for obtaining the frequency fluctuation amount at the connection point of the distribution network side virtual power plant and the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant; A cluster allocation unit for allocating the expected overall active-frequency transfer characteristic of the distribution network side virtual power plant to each cluster according to the active contribution coefficients of each cluster in the distribution network side virtual power plant to obtain the reference active-frequency transfer characteristic of each cluster; determining the reference value of the overall active power regulation amount of each cluster according to the reference active-frequency transfer characteristic of each cluster and the frequency fluctuation amount at the connection point of the distribution network side virtual power plant; A device allocation unit for determining the reference value of the active power regulation amount of each unit in each cluster according to the reference value of the overall active power regulation amount of each cluster; A device control unit for controlling each device according to the reference value of the active power regulation amount of each unit.

8. An electronic device, characterized in that, The device includes: A processor adapted to execute a computer program; A computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by the processor, it implements a synchronous control method for a distribution network side virtual power plant according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and the computer program is adapted to be loaded and executed by a processor to implement a synchronous control method for a distribution network side virtual power plant according to any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program which, when executed by a processor, implements a method for synchronously controlling a virtual power plant on the power distribution network side according to any one of claims 1-6.

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