Network-constructing new energy power generation system state perception method and related device

Abstract

The present application relates to a kind of network type new energy power generation system state sensing method and related device, belong to electric power system technical field, wherein, the network type new energy power generation system state sensing method includes: obtaining the operating state data of power generation equipment in network type new energy power generation system, determine the operating state of the power generation equipment based on the operating state data;Based on the operating state of the power generation equipment, in combination with the disturbance information of station in the network type new energy power generation system, calculate the voltage frequency support capability of the station;In combination with the operating state of the power generation equipment, the voltage frequency support capability of the station and the relevance of the station and cluster in the network type new energy power generation system, determine the power grid support capability of the cluster.The present application solves the problem that network new energy equipment information acquisition is difficult, equipment is not guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, in particular to a grid-constructed new energy power generation system state perception method and related device. BACKGROUND

[0002] China is rich in wind and light resources. As of the end of August 2024, the installed capacity of new energy power generation in China (including wind power, solar power, and biomass power) was 1.27 GW, accounting for 40.7% of the total installed capacity. Compared with the traditional power grid static operation mechanism with clear dominant variables, the high proportion of new energy with low inertia and random output characteristics reduces the anti-disturbance ability and regulation ability of the power grid, and the structural contradictions of power supply seriously affect system stability and new energy consumption. The grid-constructed new energy power generation equipment has the ability to actively network and support voltage and frequency, which can improve the stability of the power system with large-scale new energy grid-connected, so it has great development potential in new energy large base.

[0003] The grid-constructed new energy power generation system has great development potential, but it also faces extreme cold, extreme heat, strong wind and sand, etc. It needs to be frequently regulated to withstand higher transient overvoltage stress, and is prone to accelerated aging of key components, increased equipment failure probability, and sharp increase in cluster scheduling pressure. In the process of large-scale application, it is difficult to obtain the health status of new energy power generation equipment in real time, the operation and maintenance of the power system are affected, the safety of the equipment is reduced, and the support ability of the new energy cluster power grid is difficult to accurately evaluate, which cannot meet the intelligent regulation and control requirements of the grid-constructed new energy cluster, and restricts the development of new energy.

[0004] Therefore, the device state of the grid-constructed new energy power generation system in the prior art is difficult to obtain in real time, and the support ability of the new energy cluster power grid is difficult to accurately evaluate. SUMMARY

[0005] Therefore, it is necessary to provide a grid-constructed new energy power generation system state perception method and related device to solve the problem that the device state of the grid-constructed new energy power generation system in the prior art is difficult to obtain in real time and the support ability of the new energy cluster power grid is difficult to accurately evaluate.

[0006] In order to solve the above problems, the present application provides a grid-constructed new energy power generation system state perception method, comprising:

[0007] Obtain the running state data of the power generation equipment in the grid-constructed new energy power generation system, and determine the running state of the power generation equipment based on the running state data;

[0008] Based on the running state of the power generation equipment, combined with the disturbance information of the station in the grid-constructed new energy power generation system, calculate the voltage and frequency support ability of the station;

[0009] Determine the power grid support capability of the cluster in combination with the operating state of the power generation equipment, the voltage frequency support capability of the station, and the correlation between the station and the cluster in the network-constructed new energy power generation system.

[0010] In a possible implementation, the operating state data of the power generation equipment in the network-constructed new energy power generation system is acquired, including:

[0011] Determine the operating state data measurement points of the power generation equipment in the network-constructed new energy power generation system, and synchronously measure the operating state data of each operating state data measurement point based on the Beidou high-precision timing signal;

[0012] Acquire the frequency and frequency change rate of the power generation equipment based on time synchronization sampling technology.

[0013] In a possible implementation, the operating state data includes the power generation voltage and the power generation current of the power generation equipment, and the operating state of the power generation equipment is determined based on the operating state data, including:

[0014] Calculate the actual power generation power of the power generation equipment based on the power generation voltage and the power generation current;

[0015] Acquire the theoretical power generation power of the power generation equipment, and calculate the power reserve margin of the power generation equipment based on the theoretical power generation power and the actual power generation power.

[0016] In a possible implementation, based on the operating state of the power generation equipment, in combination with the disturbance information of the station in the network-constructed new energy power generation system, the voltage frequency support capability of the station is calculated, including:

[0017] Acquire the disturbance response information of the station in the network-constructed new energy power generation system after the station is disturbed, and the disturbance includes power change and / or frequency change;

[0018] Calculate the voltage frequency support equivalent parameters of the station based on the disturbance response information;

[0019] Calculate the voltage frequency support capability of the station based on the voltage frequency support equivalent parameters and the multi-dimensional time sequence data related to the voltage frequency support capability of the station.

[0020] In a possible implementation, the voltage frequency support equivalent parameters include equivalent power increment 、 , equivalent inertia , equivalent elasticity coefficient , and equivalent droop coefficient 、 , 、 , and respectively represent the reduction of the system unbalanced power, the suppression degree of the frequency change rate and the response power coefficient of the system frequency deviation of the substation in the participation support process, 、 、 is a voltage corresponding representation parameter.

[0021] In a possible implementation, the voltage frequency support equivalent parameter of the substation is calculated based on the disturbance response information, including:

[0022] Based on the mathematical model containing the inertia constant in the continuous time system, a transfer function model in the discrete domain is constructed, and the equivalent inertia coefficient and the equivalent elastic coefficient are calculated by collecting the function model and the preset parameter matrix, wherein the calculation formula is:

[0023]

[0024] wherein, is the difference between the power generation frequency and the synchronous frequency, is the voltage difference, i is the measurement time, is the time constant.

[0025] In a possible implementation, the power grid support capability of the cluster is determined in combination with the operating state of the power generation equipment, the voltage frequency support capability of the substation and the relevance of the substation and the cluster in the grid-forming type new energy power generation system, including:

[0026] A graph model of the cluster is constructed based on the operating state of the power generation equipment and the topology relationship of the cluster in the grid-forming type new energy power generation system;

[0027] The operating state data, the graph model and the topology relationship of the cluster are taken as the input of the preset graph space-time network to obtain the power grid support capability of the cluster.

[0028] The application also provides a grid-forming type new energy power generation system state perception device, including:

[0029] The device perception module is configured to acquire the operating state data of the power generation equipment in the grid-forming type new energy power generation system, and determine the operating state of the power generation equipment based on the operating state data.

[0030] The substation perception module is configured to calculate the voltage frequency support capability of the substation based on the operating state of the power generation equipment and in combination with the disturbance information of the substation in the grid-forming type new energy power generation system.

[0031] The cluster perception module is configured to determine the power grid support capability of the cluster in combination with the operating state of the power generation equipment, the voltage frequency support capability of the substation and the relevance of the substation and the cluster in the grid-forming type new energy power generation system.

[0032] The application further provides an electronic device comprising a memory and a processor, wherein,

[0033] a memory for storing a program;

[0034] a processor coupled to the memory, configured to execute the program stored in the memory to implement the steps in the network-constructing new energy power generation system state perception method of any of the above embodiments.

[0035] The application further provides a computer-readable storage medium for storing a computer-readable program or instructions, which, when executed by a processor, can implement the steps in the network-constructing new energy power generation system state perception method of any of the above embodiments.

[0036] The network-constructing new energy power generation system state perception method provided by the application can determine the operating state of the power generation equipment by obtaining the operating state data of the power generation equipment in the network-constructing new energy power generation system, calculate the voltage frequency support capability of the station in combination with the disturbance information of the station in the network-constructing new energy power generation system, and determine the power grid support capability of the cluster by combining the correlation of the station and the cluster in the network-constructing new energy power generation system, thereby providing an online monitoring method and unified perception system for the equipment, station and cluster, fusing multi-level and multi-dimensional data of the network-constructing new energy power generation system, obtaining the energy and information transmission relationship between the equipment state and system operation, solving the problems of difficult information acquisition and equipment insecurity of the network-constructing new energy equipment, meeting the intelligent regulation and control demand, and improving the stability of the network-constructing new energy power generation system. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0038] Figure 1 A flowchart of a network-constructing new energy power generation system state perception method provided by the embodiment of the application is shown in the figure.

[0039] Figure 2 A flowchart of an embodiment of S101 provided by the embodiment of the application is shown in the figure.

[0040] Figure 3 A flowchart of a power reserve margin calculation method provided by the embodiment of the application is shown in the figure.

[0041] Figure 4 A flowchart of an embodiment of S102 provided by the embodiment of the application is shown in the figure.

[0042] Figure 5 A flowchart of an embodiment of S103 provided for the embodiment of the present application is shown in the figure;

[0043] Figure 6 A structural schematic diagram of a networked new energy power generation system provided for the embodiment of the present application is shown in the figure;

[0044] Figure 7 A structural schematic diagram of a networked new energy power generation system sensing device provided for the embodiment of the present application is shown in the figure;

[0045] Figure 8 A structural schematic diagram of an electronic device provided for the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0046] The preferred embodiments of the present application will be described in detail below with reference to the accompanying drawings, which form a part of this application. The accompanying drawings, together with the description, illustrate the principles of the present application, and are not intended to limit the scope of the present application.

[0047] In the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified. The association relationship of "and / or" describing the associated objects means that there can be three relationships, for example: A and / or B can represent the three cases of A alone, A and B together, and B alone.

[0048] In this document, the term "embodiment" means that the specific features, structures, or characteristics described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it mutually exclusive or alternative to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0049] One specific embodiment of the present application, as shown in Figure 1 discloses a networked new energy power generation system state sensing method, comprising:

[0050] S101, obtaining the running state data of the power generation equipment in the networked new energy power generation system, and determining the running state of the power generation equipment based on the running state data;

[0051] S102, based on the running state of the power generation equipment, combining the disturbance information of the station in the networked new energy power generation system, and calculating the voltage frequency support capability of the station;

[0052] S103, combining the running state of the power generation equipment, the voltage frequency support capability of the station, and the relevance of the station and the cluster in the networked new energy power generation system, to determine the power grid support capability of the cluster.

[0053] In the embodiment of the present application, the network-constructed new energy power generation system includes multiple cluster power grids, each cluster power grid includes multiple stations, each station includes multiple power generation devices, and different operation state data needs to be acquired for different power generation devices. For example, in a wind farm, wind turbines, converters, and box-type transformers are mainly monitored, and the generator output voltage and current, the fan converter output voltage and current, and the grid-connected point voltage and current are selected as the operation state data. The operation state of a photovoltaic array, a current combiner box, and an inverter is monitored in a photovoltaic power station, and parameters such as the photovoltaic array output voltage and current, the voltage and current after inversion, and the grid-connected point voltage and current are collected as the operation state data. Of course, the operation state data of each power generation device in the network-constructed new energy power generation system not only includes the above-mentioned data, but also any other data related to the power generation system, and the present application does not limit this.

[0054] Further, based on the operation state data of each power generation device, the operation state of each power generation device can be determined, which includes but is not limited to whether the power generation device is operating normally, the power generation power, the power generation frequency, etc. Based on the operation state of the power generation device and the disturbance information of the station in the network-constructed new energy power generation system, the voltage frequency support capability of the station is determined, and the disturbance information includes the response data of the station after being disturbed by external interference, which will be described in detail later in the present application. Further, the power grid support capability of the cluster is determined in combination with the operation state of the power generation device, the voltage frequency support capability of the station, and the correlation between the station and the cluster in the network-constructed new energy power generation system.

[0055] The network-constructed new energy power generation system state perception method provided by the present application can determine the operation state of the power generation device by acquiring the operation state data of the power generation device in the network-constructed new energy power generation system, calculate the voltage frequency support capability of the station in combination with the disturbance information of the station in the network-constructed new energy power generation system, and determine the power grid support capability of the cluster by collecting the correlation between the station and the cluster in the network-constructed new energy power generation system. A kind of online monitoring method and unified perception system of equipment, station and cluster are provided, multi-level and multi-dimensional data of network-constructed new energy power generation system are fused, the transmission relationship of energy and information between device state and system operation is acquired, the problem of difficult information acquisition of network-constructed new energy equipment is solved, equipment is not guaranteed, the demand of wisdom regulation and control is met, and the stability of network-constructed new energy power generation system is improved.

[0056] As a possible implementation manner of the present application, in this implementation manner, as shown in the figure, Figure 2 the operation state data of the power generation device in the network-constructed new energy power generation system is acquired, including:

[0057] S201, determine the operation state data measurement point of the power generation equipment in the network type new energy power generation system, and synchronously measure the operation state data of each operation state data measurement point based on the Beidou high-precision timing signal;

[0058] S202, acquire the frequency and frequency change rate of the power generation equipment based on the time synchronization sampling technology.

[0059] In the embodiment of the application, for different power generation equipment, the operation state data measurement points are different, such as the different measurement points of different power generation equipment in the foregoing embodiment, the operation state data such as power change of the power generation equipment, grid-connected point frequency, frequency deviation and other characteristic quantities are acquired by installing measurement devices at the different measurement points, the disturbances and noises occurring in the power grid are monitored, and reliable electrical data is provided for the station layer. The Beidou high-precision timing signal can be used to realize synchronous measurement of each measurement point between the measurement devices, the time synchronization sampling technology is used to form a fine frequency signal measurement method, and the frequency and frequency change rate are acquired.

[0060] The application sets different operation state data measurement points for different power generation equipment, and synchronously measures the operation state data of different power generation equipment by combining the synchronous measurement method, so as to ensure the accuracy of the data.

[0061] As a possible implementation manner of the application, in the implementation manner, as shown in the figure, Figure 3 the operation state data includes power generation voltage and power generation current of the power generation equipment, the operation state of the power generation equipment is determined based on the operation state data, and the operation state of the power generation equipment includes:

[0062] S301, calculate the actual power generation power of the power generation equipment based on the power generation voltage and the power generation current;

[0063] S302, acquire the theoretical power generation power of the power generation equipment, and calculate the power reserve margin of the power generation equipment based on the theoretical power generation power and the actual power generation power.

[0064] In the embodiment of the application, the actual power generation power of the power generation equipment is calculated based on the power generation voltage and the power generation current, and the theoretical power generation power of the power generation equipment is acquired in multiple ways, for example, the resource-power generation power mapping relationship of the power generation unit is acquired based on the power source nameplate or obtained by fitting the measured data, and the resource meteorological information measured by devices such as the station light meter, the wind tower and the engine room anemometer can also be restored to the theoretical power, and the application is not limited in this regard.

[0065] Further, the power reserve margin of the power generation equipment can be calculated by a formula, and the calculation formula is as follows:

[0066]

[0067] wherein, and These represent the reserves of active and reactive power, respectively. and They represent the current i The maximum power of active and reactive power at all times. and Indicates the current i The active and reactive power generated at all times.

[0068] The embodiments of the present invention can calculate the power generation capacity and power reserve margin of power plants in a grid-type new energy power generation system by using the operating status data obtained in the foregoing embodiments.

[0069] As one possible embodiment of the present invention, in this embodiment, such as Figure 4 As shown, based on the operating status of the power generation equipment and combined with the disturbance information of the power stations in the grid-connected new energy power generation system, the voltage and frequency support capability of the power stations is calculated, including:

[0070] S401, Obtain disturbance response information after a disturbance occurs at a power station in a grid-connected new energy power generation system. The disturbance includes power changes and / or frequency changes.

[0071] S402, calculate the equivalent voltage-frequency support parameters of the station based on disturbance response information;

[0072] S403 calculates the voltage and frequency support capability of a station based on the equivalent parameters of voltage and frequency support and multi-dimensional time-series data related to the voltage and frequency support capability of the station.

[0073] In this embodiment of the invention, the grid-connected renewable energy power generation system is subject to various degrees of interference during operation, such as environmental changes, wind and sandstorms, and temperature variations. These disturbances result in fluctuations in the power generation capacity and frequency of the grid-connected renewable energy power generation system. The frequency and power response characteristics after the disturbance can be measured to calculate the equivalent voltage-frequency support parameters of the power station. Specifically, the equivalent voltage-frequency support parameters include the equivalent power increment. , equivalent inertia Equivalent elasticity coefficient and equivalent droop coefficient , ,in , and These represent the reduction in system imbalance power, the degree of suppression of frequency change rate, and the response power coefficient to system frequency deviation during the station's participation in support operations, respectively. , , These are parameters characterizing the voltage response.

[0074] Further, the active and reactive power reserve margin, power increment, adjustable power boundary, executable control parameter limit, equivalent inertia evaluation result, damping coefficient, equivalent reactive power elasticity coefficient, short-circuit ratio, frequency change rate and other multi-dimensional time sequence data parameters related to the voltage frequency support capability of the new energy station are taken as data input quantities, a high-order correlation representation coefficient matrix is solved, and an evaluation index of the voltage frequency support capability of the new energy station is obtained.

[0075] As a possible embodiment of the present application, in the embodiment, the voltage frequency support equivalent parameters of the station are calculated based on the disturbance response information, comprising:

[0076] Based on the mathematical model containing inertia constant in the continuous time system, a transfer function model in the discrete domain is constructed, and the equivalent inertia coefficient and the equivalent elasticity coefficient are calculated by collecting the function model and the preset parameter matrix, wherein the calculation formula is:

[0077]

[0078] Wherein, is the difference between the power generation frequency and the synchronous frequency, is the voltage difference, i is the measurement time, is the time constant.

[0079] The present application calculates the theoretical power generation power and the actual output power of the power generation equipment in the station, uses the voltage frequency equivalent support parameters to represent the support capability of the power generation equipment in the station, so as to obtain the network construction new energy bottom response, and meet the active perception demand of various unit differences and consistency.

[0080] As a possible embodiment of the present application, in the embodiment, as shown in Figure 5 , the power grid support capability of the cluster is determined in combination with the running state of the power generation equipment, the voltage frequency support capability of the station and the correlation between the station and the cluster in the network construction type new energy power generation system, comprising:

[0081] S501, a graph model of the cluster is constructed based on the running state of the power generation equipment and the topology relationship of the cluster in the network construction type new energy power generation system;

[0082] S502, the running state data, the graph model and the topology relationship of the cluster are taken as the input of the preset graph space-time network, and the power grid support capability of the cluster is obtained.

[0083] In the embodiment of the present application, as shown in Figure 6As shown, when calculating the power grid support capability of the cluster, the correlation equation of the state of the power generation equipment in the cluster system can be determined based on the electrical connection relationship and system operation constraint relationship of the grid-constructing new energy power generation system, a graph model associated with the multi-level multi-modal measurement nodes, cluster topology and equipment state information is established based on the physical and data information such as wideband multi-modal signal measurement nodes, topology structure and power generation equipment state, combined with the multi-dimensional time series data such as measured resource meteorological information and dynamic electrical parameters, a graph space-time network is established with the measured characteristic parameters-cluster topology-graph model as the input and the cluster support capability as the output relationship, and the graph space-time network pre-training based on self-supervised learning is carried out, wherein the cluster support capability is mainly the voltage frequency support equivalent parameter distribution of each station in the cluster. Further, according to the monitored different characteristic disturbance sources, output variables and noise interference conditions, the model parameters are optimized, the resource meteorological prediction data is combined, the graph space-time network model training is completed, and the cluster power grid support capability evaluation result of the grid-constructing new energy power generation system is output, including the real-time calculation result and long-term distribution prediction result of the voltage frequency support equivalent parameters, and the new energy cluster power grid support capability evaluation under multi-scale space-time is realized.

[0084] Based on the active perception technology of the station equipment, the present application establishes a regional grid-constructing new energy cluster support perception model considering the space-time distribution characteristics, realizes the new energy cluster equipment power parameter support capability evaluation under multi-scale space-time from multiple angles such as measurement nodes, cluster topology, equipment state information, and combines multiple inputs such as voltage, current, frequency and environmental parameters, provides help for multi-level value flow perception, proposes energy flow, information flow and value flow perception methods, studies multi-level information processing methods from equipment to cluster, can realize operation monitoring, equipment management and value extraction of grid-constructing new energy of power system in wide area environment, and provides help for new energy development and intelligentization promotion of power grid.

[0085] In order to better implement the grid-constructing new energy power generation system state perception method in the embodiment of the present application, on the basis of the grid-constructing new energy power generation system state perception method, corresponding to Figure 6 As shown, the present application embodiment also provides a grid-constructing new energy power generation system state perception device, the grid-constructing new energy power generation system state perception device 700 comprises:

[0086] The equipment perception module 701 is used for acquiring the running state data of the power generation equipment in the grid-constructing new energy power generation system, and determining the running state of the power generation equipment based on the running state data;

[0087] The station perception module 702 is used for calculating the voltage frequency support capability of the station based on the running state of the power generation equipment and combining the disturbance information of the station in the grid-constructing new energy power generation system;

[0088] The cluster sensing module 703 is used to determine the grid support capability of the cluster by combining the operating status of the power generation equipment, the voltage and frequency support capability of the power station, and the correlation between the power station and the cluster in the grid-connected new energy power generation system.

[0089] The grid-type new energy power generation system state sensing device 700 provided in the above embodiments can realize the technical solutions described in the above embodiments of the grid-type new energy power generation system state sensing method. The specific implementation principles of each module or unit can be found in the corresponding content in the above embodiments of the grid-type new energy power generation system state sensing method, which will not be repeated here.

[0090] like Figure 8 As shown, the present invention also provides an electronic device 800. The electronic device 800 includes a processor 801, a memory 802, and a display 803. Figure 8 Only some components of the electronic device 800 are shown, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0091] In some embodiments, processor 801 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in memory 802 or process data, such as the grid-type new energy power generation system state perception method of the present invention.

[0092] In some embodiments, processor 801 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 801 may be local or remote. In some embodiments, processor 801 may be implemented on a cloud platform. In some embodiments, the cloud platform may include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, internal cloud, multi-cloud, etc., or any combination thereof.

[0093] In some embodiments, memory 802 may be an internal storage unit of electronic device 800, such as a hard disk or memory of electronic device 800. In other embodiments, memory 802 may also be an external storage device of electronic device 800, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 800.

[0094] Furthermore, the memory 802 may include both internal storage units of the electronic device 800 and external storage devices. The memory 802 is used to store application software and various types of data installed on the electronic device 800.

[0095] The display 803 can be, in some embodiments, an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) toucher, and the like. The display 803 is used to display information of the electronic device 800 and to display a visualized user interface. The components 801-803 of the electronic device 800 communicate with each other through a system bus.

[0096] In some embodiments, when the processor 801 executes the grid-connected new energy power generation system state perception program in the memory 802, the following steps can be implemented:

[0097] Obtaining operation state data of a power generation device in a grid-connected new energy power generation system, and determining an operation state of the power generation device based on the operation state data;

[0098] Based on the operation state of the power generation device, combining disturbance information of a field station in the grid-connected new energy power generation system, calculating a voltage frequency support capability of the field station;

[0099] Combining the operation state of the power generation device, the voltage frequency support capability of the field station, and the relevance of the field station and a cluster in the grid-connected new energy power generation system, determining a power grid support capability of the cluster.

[0100] It should be understood that, when the processor 801 executes the grid-connected new energy power generation system state perception program in the memory 802, in addition to the above functions, other functions can also be implemented, which can be referred to the description of the corresponding method embodiments.

[0101] Further, the type of the electronic device 800 referred to in the embodiments of the present application is not specifically limited, and the electronic device 800 can be a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop, and the like. Exemplary embodiments of the portable electronic device include, but are not limited to, a portable electronic device running an IOS, an android, a microsoft, or other operating system. The above-mentioned portable electronic device can also be other portable electronic devices, such as a laptop having a touch-sensitive surface (e.g., a touch panel). It should also be understood that, in some other embodiments of the present application, the electronic device 800 can also not be a portable electronic device, but a desktop computer having a touch-sensitive surface (e.g., a touch panel).

[0102] Correspondingly, the embodiment of the present application also provides a computer readable storage medium for storing computer readable programs or instructions, which can realize the steps or functions in the network construction type new energy power generation system state sensing method provided by the above-mentioned method embodiments when the programs or instructions are executed by a processor.

[0103] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiment methods can be completed by a computer program instructing related hardware, and the program can be stored in a computer readable storage medium. The computer readable storage medium is a disk, an optical disk, a read-only memory or a random access memory, etc.

[0104] The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A method for perceiving the state of a grid-forming new energy power generation system, characterized in that, The method comprises the following steps: acquiring operation state data of a power generation device in a grid-connected new energy power generation system, and determining an operation state of the power generation device based on the operation state data; based on the operation state of the power generation device, combining disturbance information of a station in the grid-connected new energy power generation system, and calculating voltage frequency support capability of the station; combining the operation state of the power generation device, the voltage frequency support capability of the station, and the relevance of the station and a cluster in the grid-connected new energy power generation system, and determining grid support capability of the cluster; the acquisition of the operation state data of the power generation device in the grid-connected new energy power generation system comprises: determining an operation state data measurement point of the power generation device in the grid-connected new energy power generation system, and synchronously measuring operation state data of each operation state data measurement point based on a Beidou high-precision timing signal; acquiring frequency and frequency change rate of the power generation device based on time-synchronized sampling technology; the calculation of the voltage frequency support capability of the station based on the operation state of the power generation device and the disturbance information of the station in the grid-connected new energy power generation system comprises: acquiring disturbance response information of the station after disturbance, wherein the disturbance comprises power change and / or frequency change; calculating voltage frequency support equivalent parameters of the station based on the disturbance response information; calculating the voltage frequency support capability of the station based on the voltage frequency support equivalent parameters and multi-dimensional time series data related to the voltage frequency support capability of the station; wherein active and reactive power reserve margin, power increment, adjustable power boundary, executable control parameter limit, equivalent inertia evaluation result, damping coefficient, equivalent reactive power elasticity coefficient, short-circuit ratio, frequency change rate and other multi-dimensional time series data parameters related to the voltage frequency support capability of the new energy station are taken as data input quantities, a high-order correlation representation coefficient matrix is solved, and a new energy station voltage frequency support capability evaluation index is obtained. 2.The network-constructing new energy power generation system state perception method according to claim 1, characterized in that, The operation state data comprises power generation voltage and power generation current of the power generation device, and the determination of the operation state of the power generation device based on the operation state data comprises: calculating actual power generation power of the power generation device based on the power generation voltage and the power generation current; acquiring theoretical power generation power of the power generation device, and calculating power reserve margin of the power generation device based on the theoretical power generation power and the actual power generation power. 3.The network-constructed new energy power generation system state perception method according to claim 1, characterized in that, The voltage frequency support equivalent parameters include equivalent active power increment and equivalent reactive power increment , equivalent inertia , equivalent elasticity coefficient and equivalent droop coefficient , , wherein , and respectively represent the reduction amount of system unbalanced power, the suppression degree of frequency change rate and the response power coefficient of system frequency deviation in the participation of the power station in the support process, , , are voltage corresponding characteristic parameters.

4. The network construction type new energy power generation system state perception method according to claim 3, characterized in that, The calculation of the voltage frequency support equivalent parameters of the station based on the disturbance response information comprises: based on a mathematical model containing inertia constant in a continuous time system, a transfer function model in a discrete domain is constructed, and equivalent inertia coefficient and equivalent elasticity coefficient are calculated by combining the function model and a preset parameter matrix, wherein the calculation formula is: wherein, is the difference between the generation frequency and the synchronization frequency, is the voltage difference, i is the measurement time instant, is the time constant.

5. The network construction type new energy power generation system state perception method according to claim 1, characterized in that, The determination of the grid support capability of the cluster by combining the operation state of the power generation device, the voltage frequency support capability of the station, and the relevance of the station and the cluster in the grid-connected new energy power generation system comprises: constructing a graph model of the cluster based on the operation state of the power generation device and a cluster topology relationship in the grid-connected new energy power generation system; The running state data, the graph model, and a topology relationship of the cluster are taken as inputs of a preset graph space-time network, and grid support capability of the cluster is obtained.

6. A grid-forming new energy power generation system state perception device suitable for the grid-forming new energy power generation system state perception method of claims 1-5, characterized in that, The method comprises the steps of: an equipment sensing module, configured to acquire running state data of a power generation equipment in a grid-connected new energy power generation system, and determine a running state of the power generation equipment based on the running state data; a station sensing module, configured to calculate voltage frequency support capability of a station in the grid-connected new energy power generation system based on the running state of the power generation equipment and disturbance information of the station; a cluster sensing module, configured to determine grid support capability of a cluster in the grid-connected new energy power generation system based on the running state of the power generation equipment, the voltage frequency support capability of the station, and a correlation between the station and the cluster.

7. An electronic device, comprising: The device comprises a memory and a processor, wherein the memory is configured to store a program; the processor is coupled to the memory and configured to execute the program stored in the memory to implement the steps of the grid-connected new energy power generation system state sensing method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The device is configured to store a program or instruction readable by a computer, and the program or instruction is executed by a processor to implement the steps of the grid-connected new energy power generation system state sensing method according to any one of claims 1 to 5.

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