Lightweight primary frequency modulation performance evaluation method and system suitable for new energy station

Abstract

The invention relates to a lightweight primary frequency modulation performance evaluation method and system suitable for a new energy station. The system comprises a plurality of edge computing servers and a cloud server or a monitoring server on the side of the new energy station. Each edge computing server is arranged on a new energy station side and is used for collecting PMU time sequence data of the corresponding new energy station in real time and locally storing the collected PMU time sequence data; and the cloud server or the monitoring server at the new energy station side is used for carrying out fixed-period analysis on the PMU time sequence data stored by each edge computing server by adopting a preset network transmission protocol so as to realize primary frequency modulation performance evaluation. The method can be widely applied to the field of power generation side primary frequency modulation performance evaluation.

Description

Technical Field

[0001] The present invention relates to a lightweight primary frequency regulation performance evaluation method and system suitable for new energy stations, belonging to the field of primary frequency regulation performance evaluation on the power generation side. Background Art

[0002] With the large-scale grid connection of new energy and the commissioning of UHV DC transmission projects, the power shock and frequency safety risks faced by the power grid have increased significantly. In order to ensure that the primary frequency regulation performance of new energy stations meets the relevant national standards, the power grid dispatching department has implemented a primary frequency regulation performance assessment module in the wide area measurement system (WAMS) of the D5000 dispatching platform to evaluate new energy stations and publish the assessment results on a monthly basis. However, the lack of effective means for new energy stations to actively monitor the primary frequency regulation performance puts them at a disadvantage in the power grid assessment. In addition, due to the lag in information disclosure, it becomes difficult to trace the assessed events. Therefore, there is an urgent need to provide an effective monitoring method for new energy stations.

[0003] On the grid side, the data source of the primary frequency regulation assessment function is the grid PMU data (Phasor Measurement Unit). The realization of this function depends on the PMU front-end communication module, PMU timing real-time database and PMU timing history database provided by the D5000 platform WAMS system. The perfect architecture and functions of the WAMS system provide a strong platform support and data foundation for the dynamic monitoring and transient analysis of the power grid. For new energy stations, developing a WAMS system with the same architecture as the grid side is not the most efficient and economical solution. New energy stations only need to monitor the relevant information with their grid connection points. Compared with the scope of grid monitoring information, the data points required to be monitored are much fewer. Nevertheless, due to the high precision, real-time acquisition and transmission requirements of PMU data, its real-time data transmission throughput is much higher than its SCADA system. Summary of the invention

[0004] In view of the above problems, the purpose of the present invention is to provide a lightweight primary frequency regulation performance evaluation method and system suitable for new energy stations. The system is lightweight and easy to implement based on the edge computing concept of the Internet of Things. It can solve the problem of opaque primary frequency regulation performance on the existing power generation side, and enhance the ability of new energy stations to cope with power grid assessment, thereby improving the operating efficiency of new energy stations and their good connection to the power grid.

[0005] To achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a lightweight primary frequency regulation performance evaluation system applicable to a new energy station, comprising: Several edge computing servers and cloud servers or monitoring servers at new energy stations; Each of the edge computing servers is arranged at the new energy station side, and is used to collect the PMU time series data of the corresponding new energy station in real time, and locally store the collected PMU time series data; The cloud server or the monitoring server on the new energy station side is used to use a preset network transmission protocol to perform fixed-period analysis on the PMU timing data stored in each edge computing server to achieve a frequency modulation performance evaluation.

[0006] Further, each edge computing server is provided with a PMU data acquisition module, a data compression module, a PMU time series data storage module and a data upload module; The PMU data acquisition module is used to collect PMU time series data of new energy stations in real time; The data compression module is used to compress the collected PMU time series data using a preset compression algorithm and send it to the PMU time series data storage module for storage; The data upload module is used to synchronize the compressed PMU timing data to the cloud server or the monitoring server at the new energy station side according to a preset period.

[0007] Furthermore, the data compression module uses an open source zstd compression algorithm to compress the PMU timing data.

[0008] Furthermore, the data upload module is implemented using an rsync client deployed on an edge computing server.

[0009] Furthermore, a primary frequency modulation performance offline evaluation system is deployed in the cloud server or the monitoring server on the new energy station side, and the system includes an rsync server, a PMU timing file parsing module, a primary frequency modulation detection module, a primary frequency modulation evaluation module, and a visual analysis and statistics module; The rsync server is used to receive the compressed PMU timing data uploaded by each edge computing server according to a preset period; The PMU timing file parsing module is used to parse the compressed PMU timing data; The primary frequency modulation detection module is used to detect the primary frequency modulation event, the off-grid time, the primary frequency modulation exit time and the PMU fault time according to the analysis result of the PMU timing data; The primary frequency regulation evaluation module is used to calculate the primary frequency regulation index according to the primary frequency regulation event detection result, and calculate the primary frequency regulation operation rate according to the detection results of the off-grid time detection, the primary frequency regulation exit time detection and the PMU failure time; The visualization analysis and statistics module is used to perform visualization analysis and statistics on the calculation results of the primary frequency regulation index and the calculation results of the primary frequency regulation operation rate.

[0010] Furthermore, the preset network transmission protocol uses TCP transmission control protocol at the bottom layer, and the application layer protocol complies with GB / T26865.2 specification.

[0011] In a second aspect, the present invention provides a lightweight primary frequency regulation performance evaluation method applicable to a new energy station, comprising the following steps: Deploy edge computing servers at each new energy station to collect and store PMU time series data in real time; The monitoring server on the cloud server or the new energy station side obtains the PMU timing data from each edge computing server through a preset network transmission protocol and performs fixed-cycle analysis to achieve a primary frequency modulation performance evaluation of the new energy station.

[0012] Furthermore, the edge computing server is deployed at each new energy station to collect and store the PMU time series data of the new energy station in real time, including: Real-time collection of PMU time series data of new energy stations; The collected PMU time series data is compressed and stored using a preset compression algorithm; The compressed PMU timing data is synchronized to the cloud server or the monitoring server at the new energy station side according to the preset period.

[0013] In a third aspect, the present invention provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any method.

[0014] In a fourth aspect, the present invention provides a computing device, comprising: one or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, and the one or more programs include instructions for executing any method.

[0015] Due to the adoption of the above technical solution, the present invention has the following advantages: The present invention creates a primary frequency regulation performance evaluation system consistent with the grid dispatch assessment standards for new energy stations or new energy regional companies. The system quantifies the primary frequency regulation performance of new energy stations and transforms it into a transparent and monitorable link, so that the operation and maintenance management team can understand and master the frequency regulation response capabilities of the station in real time. Through this means, managers can quickly make adjustments and optimization measures, effectively reduce the risks in the grid dispatch assessment, and obtain strong data support.

[0016] The present invention can be widely applied to the field of primary frequency regulation performance evaluation on the power generation side. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Throughout the accompanying drawings, the same reference numerals are used to represent the same components. In the accompanying drawings: Figure 1 It is a structural diagram of a lightweight primary frequency regulation performance evaluation system suitable for new energy stations provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0019] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. 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, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0020] In some embodiments of the present invention, a lightweight primary frequency regulation performance evaluation system suitable for new energy stations is provided. The system uses a PMU data acquisition and storage system implemented by edge computing technology, which is specially designed for power generation side stations or station groups, and can realize local real-time acquisition, compression and storage of data. By adopting an optimized data transmission mechanism, the system can perform a primary frequency regulation performance evaluation in a regional centralized control center or a station monitoring center. This solution avoids the need to design complex databases (including real-time databases and historical databases) and does not rely on complex system architectures. In addition, the primary frequency regulation performance evaluation module of the system can be implemented in a language with higher development efficiency, thereby simplifying the development process and speeding up implementation.

[0021] Correspondingly, in some other embodiments of the present invention, a lightweight primary frequency regulation performance evaluation method suitable for new energy stations is provided.

[0022] Example 1 like Figure 1As shown, this embodiment provides a lightweight primary frequency regulation performance evaluation system suitable for new energy stations. The core of the system is to use edge computing technology to realize local real-time collection and compressed storage of PMU data at the station or station group grid connection point, and through efficient transmission and storage mechanisms, provide accurate data support for subsequent frequency regulation performance evaluation. The deployment of the primary frequency regulation performance evaluation function is relatively free, and can be selected on the station monitoring side, or on the regional centralized control side or centralized control cloud.

[0023] Specifically, the system includes several edge computing servers arranged at the new energy station side and cloud servers or monitoring servers at the new energy station side. Among them, each edge computing server is used to collect the PMU timing data of the corresponding new energy station in real time, and store the collected PMU timing data locally for rapid response and preliminary processing; the cloud server or the monitoring server at the new energy station side is used to use a preset network transmission protocol to perform fixed-cycle analysis on the PMU timing data stored by each edge computing server, so as to realize the detection of a frequency modulation event, the detection of the time of disconnection from the grid, the detection of the time of a frequency modulation exit, and the detection of the time of PMU failure.

[0024] Furthermore, each edge computing server is provided with a PMU data acquisition module, a data compression module, a PMU time series data storage module and a data upload module. Among them, the PMU data acquisition module is used to collect the PMU time series data of the new energy station in real time; the data compression module is used to compress the collected PMU time series data and send it to the PMU time series data storage module for storage; the data upload module is used to synchronize the compressed PMU time series data to the cloud server or the monitoring server on the new energy station side according to a preset period.

[0025] Furthermore, the data compression module uses the open source ZSTD compression algorithm to compress the PMU timing data. This compression algorithm can significantly reduce the size of the data while ensuring data integrity, thereby reducing storage and transmission costs.

[0026] Furthermore, the data upload module is implemented using the rsync (an efficient remote data synchronization tool) client deployed on the edge computing server, which is used to regularly synchronize the compressed PMU time series data files to the cloud server or the monitoring server on the new energy station side, and the synchronization cycle. The advantages of rsync are fast, efficient, reliable and secure.

[0027] Furthermore, the underlying layer of the preset network transmission protocol uses TCP (Transmission Control Protocol) to ensure the stability and reliability of data transmission. The application layer protocol follows the GB / T 26865.2 specification to ensure the uniformity and compatibility of the data format.

[0028] Furthermore, a primary frequency modulation performance offline evaluation system is deployed in the monitoring server on the cloud server or the new energy station side, and the system includes an rsync server, a PMU timing file parsing module, a primary frequency modulation detection module, a primary frequency modulation evaluation module, and a visual analysis and statistics module. Among them, the rsync server is used to receive the compressed PMU timing data uploaded by each edge computing server according to a preset period; the PMU timing file parsing module is used to parse the compressed PMU timing data; the primary frequency modulation detection module is used to detect the primary frequency modulation event, the off-grid time, the primary frequency modulation exit time, and the PMU fault time according to the analysis results of the PMU timing data; the primary frequency modulation evaluation module is used to calculate the primary frequency modulation index according to the detection results of the primary frequency modulation event, and calculate the primary frequency modulation operation rate according to the detection results of the off-grid time, the primary frequency modulation exit time, and the PMU fault time; the visual analysis and statistics module is used to visualize and analyze the calculation results of the primary frequency modulation index and the calculation results of the primary frequency modulation operation rate.

[0029] Through the implementation of the above technical solutions, the system of the present invention can accurately evaluate the primary frequency regulation performance of new energy stations, provide data support for the operation optimization of stations, and improve the stability and reliability of new energy grid connection. In addition, the lightweight design of the system makes it easy to deploy and maintain, and can be widely used in new energy stations and station groups of various sizes.

[0030] Example 2 Based on the lightweight primary frequency regulation performance evaluation system applicable to new energy stations provided in Example 1, this embodiment provides a lightweight primary frequency regulation performance evaluation method applicable to new energy stations, including the following steps: 1) Deploy edge computing servers at each new energy station to collect and store the PMU time series data of the new energy station in real time; 2) Obtain PMU timing data from each edge computing server through a preset network transmission protocol for fixed-period analysis to achieve primary frequency regulation performance evaluation of new energy stations.

[0031] The above step 1) includes the following steps: 1.1) Real-time collection of PMU time series data of new energy stations; 1.2) Use a preset compression algorithm to compress and store the collected PMU time series data; 1.3) Synchronize the compressed PMU timing data to the cloud server or the monitoring server at the new energy station side according to the preset period.

[0032] Example 3 This embodiment provides a processing device corresponding to the lightweight primary frequency modulation performance evaluation method applicable to new energy stations provided in this embodiment 2. The processing device can be a processing device for a client, such as a mobile phone, a laptop computer, a tablet computer, a desktop computer, etc., to execute the method of embodiment 1.

[0033] The processing device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. The memory stores a computer program that can be run on the processor, and when the processor runs the computer program, the lightweight primary frequency modulation performance evaluation method applicable to new energy stations provided in this embodiment 1 is executed.

[0034] Preferably, the memory may be a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory.

[0035] Preferably, the processor may be a central processing unit (CPU), a digital signal processor (DSP) or other general-purpose processors of various types, which are not limited here.

[0036] Example 4 The lightweight primary frequency regulation performance evaluation method applicable to new energy stations of this embodiment 2 can be specifically implemented as a computer program product, which may include a computer-readable storage medium carrying computer-readable program instructions for executing the lightweight primary frequency regulation performance evaluation method applicable to new energy stations described in this embodiment 2.

[0037] Computer readable storage media can be tangible devices that hold and store instructions used by instruction execution devices. Computer readable storage media can be, for example, but not limited to, electronic storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any combination thereof.

[0038] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 One or more processes and / or boxes Figure 1 A function specified in one or more boxes. These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0039] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A lightweight primary frequency modulation performance evaluation system suitable for new energy stations, characterized in that: include: Several edge computing servers and cloud servers or monitoring servers at new energy stations; Each of the edge computing servers is arranged at the new energy station side, and is used to collect the PMU time series data of the corresponding new energy station in real time, and locally store the collected PMU time series data; The cloud server or the monitoring server on the new energy station side is used to use a preset network transmission protocol to perform fixed-period analysis on the PMU timing data stored in each edge computing server to achieve a frequency modulation performance evaluation.

2. The lightweight primary frequency modulation performance evaluation system applicable to new energy stations as claimed in claim 1 is characterized in that: Each of the edge computing servers is provided with a PMU data acquisition module, a data compression module, a PMU time series data storage module and a data upload module; The PMU data acquisition module is used to collect PMU time series data of new energy stations in real time; The data compression module is used to compress the collected PMU time series data using a preset compression algorithm and send it to the PMU time series data storage module for storage; The data upload module is used to synchronize the compressed PMU timing data to the cloud server or the monitoring server at the new energy station side according to a preset period.

3. The lightweight primary frequency modulation performance evaluation system applicable to new energy stations as claimed in claim 2 is characterized in that: The data compression module uses the open source zstd compression algorithm to compress the PMU timing data.

4. The lightweight primary frequency modulation performance evaluation system applicable to new energy stations as claimed in claim 2, characterized in that: The data upload module is implemented using an rsync client deployed on an edge computing server.

5. The lightweight primary frequency modulation performance evaluation system applicable to new energy stations as claimed in claim 4 is characterized in that: A primary frequency modulation performance offline evaluation system is deployed in the cloud server or the monitoring server at the new energy station side, and the system includes an rsync server, a PMU timing file parsing module, a primary frequency modulation detection module, a primary frequency modulation evaluation module, and a visual analysis and statistics module; The rsync server is used to receive the compressed PMU timing data uploaded by each edge computing server according to a preset period; The PMU timing file parsing module is used to parse the compressed PMU timing data; The primary frequency modulation detection module is used to detect the primary frequency modulation event, the off-grid time, the primary frequency modulation exit time and the PMU fault time according to the analysis result of the PMU timing data; The primary frequency regulation evaluation module is used to calculate the primary frequency regulation index according to the primary frequency regulation event detection result, and calculate the primary frequency regulation operation rate according to the detection results of the off-grid time detection, the primary frequency regulation exit time detection and the PMU failure time; The visualization analysis and statistics module is used to perform visualization analysis and statistics on the calculation results of the primary frequency regulation index and the calculation results of the primary frequency regulation operation rate.

6. The lightweight primary frequency modulation performance evaluation system applicable to new energy stations as claimed in claim 1, characterized in that: The preset network transmission bottom layer adopts TCP transmission control protocol.

7. A lightweight primary frequency modulation performance evaluation method applicable to new energy stations, characterized in that: The following steps are involved: Deploy edge computing servers at each new energy station to collect and store PMU time series data in real time; The cloud server or the monitoring server on the new energy station side obtains the PMU timing data from each edge computing server through a preset network transmission protocol and performs fixed-cycle analysis to achieve a primary frequency modulation performance evaluation of the new energy station.

8. A lightweight primary frequency modulation performance evaluation method applicable to a new energy station as claimed in claim 7, characterized in that: The edge computing server is deployed at each new energy station to collect and store the PMU time series data of the new energy station in real time, including: Real-time collection of PMU time series data of new energy stations; The collected PMU time series data is compressed and stored using a preset compression algorithm; The compressed PMU timing data is synchronized to the cloud server or the monitoring server at the new energy station side according to the preset period.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any one of the methods of claims 7 to 8.

10. A computing device, characterized in that include: One or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, wherein the one or more programs include instructions for executing any one of the methods described in claims 7 to 8.

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