Active power acquisition, analysis and processing system for new energy station

Abstract

The embodiment of the invention provides a new energy station active power acquisition, analysis and processing system, and the system comprises a data acquisition module which is disposed at a grid connection point of a new energy station, and is used for collecting a voltage signal and a current signal in real time; the active power calculation module is connected to the data acquisition module and is used for calculating active power based on the voltage signal and the current signal; the frequency detection module is connected to the data acquisition module and is used for extracting frequency information from the voltage signal; the data processing and analysis module is connected to the active power calculation module and the frequency detection module and is used for carrying out preprocessing and statistical analysis on the active power and frequency information; the data storage and management module is connected to the data processing and analysis module and is used for storing the processed data; and the communication interface module is connected to the data storage and management module and is used for carrying out data interaction with an external system. High-precision data acquisition, real-time power calculation and frequency monitoring are realized through modular integration, and the data processing speed and accuracy are improved.

Description

Active power acquisition, analysis and processing system for new energy power plants Technical Field

[0001] The embodiments in this specification relate to the field of power technology, and in particular to a system for acquiring, analyzing and processing active power in new energy power plants. Background Technology

[0002] In the operation of new energy power plants such as wind farms and photovoltaic power plants, real-time monitoring of active power is crucial to ensuring grid stability and energy efficiency. However, existing solutions usually use independent or simply integrated acquisition equipment, which suffers from problems such as insufficient data accuracy, high processing latency, poor inter-module coordination, and unreliable communication transmission. This makes it difficult for the system to adapt to the real-time monitoring needs in complex environments, limiting the depth of data analysis and overall operating efficiency.

[0003] Therefore, a better solution is urgently needed. Summary of the Invention

[0004] In view of this, the embodiments of this specification provide a system for acquiring, analyzing and processing the active power of new energy power plants to solve the technical defects existing in the prior art.

[0005] According to a first aspect of the embodiments of this specification, a new energy power plant active power acquisition, analysis and processing system is provided, comprising: a data acquisition module deployed at the grid connection point of the new energy power plant for real-time acquisition of voltage and current signals; an active power calculation module connected to the data acquisition module for calculating active power based on the voltage and current signals; a frequency detection module connected to the data acquisition module for extracting frequency information from the voltage signal; a data processing and analysis module connected to the active power calculation module and the frequency detection module for preprocessing and statistical analysis of the active power and frequency information; a data storage and management module connected to the data processing and analysis module for storing the processed data; and a communication interface module connected to the data storage and management module for data interaction with external systems.

[0006] In one possible implementation, the data acquisition module includes a high-precision data logging and analysis instrument that supports three-phase four-wire or three-phase three-wire wiring and acquires voltage and current signals at an adjustable sampling rate ranging from 100Hz to 2000Hz.

[0007] In one possible implementation, the active power calculation module calculates active power using the instantaneous power method, root mean square method, or Fourier transform method, and outputs reactive power and apparent power.

[0008] In one possible implementation, the frequency detection module uses digital phase-locked loop technology for frequency tracking, identifies frequency offsets and harmonic interference, and provides frequency change trend analysis.

[0009] In one possible implementation, the data processing and analysis module performs digital filtering, noise reduction, and normalization preprocessing on the active power and frequency information, calculates the maximum, minimum, average, and standard deviation, and supports data visualization.

[0010] In one possible implementation, the data storage and management module uses a time-series database or a relational database to store the processed data and supports data querying, exporting, and backup, while also providing historical data backtracking and comparative analysis.

[0011] In one possible implementation, the communication interface module supports Modbus TCP, IEC 61850, MQTT or OPCUA communication protocols and provides redundant communication paths to ensure data transmission reliability.

[0012] In one possible implementation, the data processing and analysis module also generates alarm signals based on statistical analysis results and sends them to an external system through the communication interface module.

[0013] In one possible implementation, the data processing and analysis module also calculates the active power smoothness index. The formula for its calculation is: in, It is a phase index, representing one of the three phases, with a value range from 1 to 3, determined by the three-phase system of the data acquisition module; This is a time window index, representing the window divided within the total time period, with values ​​ranging from 1 to... The timeframe is set by the data processing and analysis module according to the analysis cycle. This is the sampling point index, representing the sampling point within each time window, with values ​​ranging from 1 to... The sampling rate is determined by the data acquisition module; It is the first Phase, First The first time window, the first The active power value of each sampling point comes from the calculation results of the active power calculation module; It is the first Phase, First The average active power within each time window is calculated by the data processing and analysis module. ; This is the total number of time windows, which is derived by the data processing and analysis module based on the total time period and the window size. It is the number of sampling points within each time window, derived from the sampling rate and window size of the data acquisition module.

[0014] In one possible implementation, the data processing and analysis module also calculates the frequency stability index. The formula for its calculation is: in, It is a phase index, representing one of the three phases, with a value range from 1 to 3, determined by the three-phase system of the data acquisition module; This is a time window index, representing the window divided within the total time period, with values ​​ranging from 1 to... The timeframe is set by the data processing and analysis module according to the analysis cycle. This is the sampling point index, representing the sampling point within each time window, with values ​​ranging from 1 to... The sampling rate is determined by the data acquisition module; It is the first Phase, First The first time window, the first The frequency values ​​of each sampling point are extracted from the frequency detection module. It is the first Phase, First The average frequency within each time window is calculated by the data processing and analysis module. ; This is the total number of time windows, which is derived by the data processing and analysis module based on the total time period and the window size. It is the number of sampling points within each time window, derived from the sampling rate and window size of the data acquisition module.

[0015] This specification provides an active power acquisition, analysis, and processing system for new energy power plants. The system includes: a data acquisition module deployed at the grid connection point of the new energy power plant for real-time acquisition of voltage and current signals; an active power calculation module connected to the data acquisition module for calculating active power based on the voltage and current signals; a frequency detection module connected to the data acquisition module for extracting frequency information from the voltage signal; a data processing and analysis module connected to the active power calculation and frequency detection modules for preprocessing and statistical analysis of the active power and frequency information; a data storage and management module connected to the data processing and analysis module for storing the processed data; and a communication interface module connected to the data storage and management module for data interaction with external systems. Through modular system integration, high-precision data acquisition, real-time power calculation, and frequency monitoring are achieved, improving data processing speed and accuracy. The data processing and analysis module combines statistical and machine learning methods to enhance analytical capabilities; the data storage and management module supports intelligent backtracking and security management; and the communication interface module ensures reliability through multi-protocol redundant transmission. Overall, this improves the operating efficiency, grid compatibility, and maintenance convenience of the new energy power plant. Attached Figure Description

[0016] Figure 1 is a schematic diagram of a new energy power station active power acquisition, analysis and processing system provided in one embodiment of this specification. Detailed Implementation

[0017] Many specific details are set forth in the following description to provide a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0018] The terminology used in one or more embodiments of this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of this specification. The singular forms “a” and “the” as used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0019] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this specification, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0020] This specification provides a system for acquiring, analyzing, and processing the active power of new energy power plants, which will be described in detail in the following embodiments.

[0021] Referring to Figure 1, Figure 1 shows a schematic diagram of a new energy power plant active power acquisition, analysis and processing system according to an embodiment of this specification. Specifically, it includes a data acquisition module deployed at the grid connection point of the new energy power plant for real-time acquisition of voltage and current signals; an active power calculation module connected to the data acquisition module for calculating active power based on the voltage and current signals; a frequency detection module connected to the data acquisition module for extracting frequency information from the voltage signal; a data processing and analysis module connected to the active power calculation module and the frequency detection module for preprocessing and statistical analysis of the active power and frequency information; a data storage and management module connected to the data processing and analysis module for storing the processed data; and a communication interface module connected to the data storage and management module for data interaction with external systems.

[0022] The data acquisition module can refer to hardware or software components deployed at the grid connection point of a renewable energy power station, used to collect voltage and current signals in real time. The grid connection point of the renewable energy power station refers to the specific location where the power station connects to the power grid, enabling the connection of power generation equipment and the grid. Voltage signals can refer to electrical parameters representing voltage magnitude, reflecting the voltage state of the power grid. Current signals can refer to electrical parameters representing current magnitude, reflecting the current flow in the power grid. The active power calculation module can refer to a functional unit that calculates active power based on voltage and current signals, used to generate active power values. Active power can refer to the actual transmitted effective electrical energy, measuring the effective utilization of electrical energy. The frequency detection module can refer to a component that extracts frequency information from the voltage signal, monitoring the power grid frequency. Frequency information can refer to relevant data on the power grid frequency, used to assess power grid stability. Data processing and analysis... The analysis module can refer to the functional unit that cleans and mathematically analyzes active power and frequency information to optimize data quality and extract useful information; preprocessing can refer to the process of filtering and normalizing raw data to improve data accuracy; statistical analysis can refer to the process of calculating indicators such as maximum, minimum, average, and standard deviation to support decision-making; the data storage and management module can refer to the component that stores and manages the processed data to persistently save the data; the processed data can refer to the data that has undergone preprocessing and statistical analysis for subsequent use or transmission; the communication interface module can refer to the interface component that exchanges data with external systems to realize data transmission; the external system can refer to the main control system, dispatch center, or intelligent operation and maintenance platform, which can receive or send data; data interaction can refer to the data transmission process between the system and external systems to ensure information flow.

[0023] As a concrete example: at the grid connection point of a photovoltaic power station, the data acquisition module collects three-phase voltage and current signals in real time at a sampling rate of 1000Hz and transmits these signals to the active power calculation module; the active power calculation module uses the instantaneous power method to calculate the active power, generating an active power value of 50kW, and simultaneously calculates reactive power and apparent power; the frequency detection module extracts frequency information from the voltage signal, detects a frequency of 50.1Hz, and identifies no anomalies; the data processing and analysis module performs low-pass filtering and normalization preprocessing on the active power and frequency information, then calculates the average value and standard deviation, and generates a trend curve; the data storage and management module stores the processed data in a MySQL database, supporting historical data queries by time range; the communication interface module sends data to the dispatch center via the Modbus TCP protocol to achieve data interaction; throughout the process, the system cyclically executes the acquisition, calculation, analysis, and transmission steps to ensure real-time monitoring.

[0024] This invention achieves high-precision data acquisition and real-time power calculation through modular integration, improving data processing speed and accuracy; frequency monitoring and statistical analysis enhance the system's ability to assess grid status; data storage and management support intelligent backtracking and secure preservation; and communication interfaces ensure reliable data transmission. Overall, it improves the operating efficiency, grid compatibility, and maintenance convenience of new energy power plants, while adaptive processing optimizes the system's stability in complex environments.

[0025] In one possible implementation, the data acquisition module includes a high-precision data logging and analysis instrument that supports three-phase four-wire or three-phase three-wire wiring and acquires voltage and current signals at an adjustable sampling rate ranging from 100Hz to 2000Hz.

[0026] The data acquisition module can refer to a hardware component containing a high-precision data recording and analysis instrument, used to acquire electrical signals from the grid connection point of a new energy power station; the high-precision data recording and analysis instrument can refer to a device with high-precision measurement capabilities, capable of recording and analyzing voltage and current parameters; three-phase four-wire system can refer to an electrical wiring method, including three-phase lines and one neutral line, supporting three-phase power supply with a neutral line; three-phase three-wire system can refer to an electrical wiring method, including only three-phase lines without a neutral line, to provide three-phase power supply without a neutral line; wiring method can refer to the specific configuration method of electrical connection, used to define the physical connection between devices; adjustable sampling rate can refer to a parameter whose sampling frequency can be adjusted during data acquisition, allowing for flexible setting of the acquisition rate; voltage signal can refer to an electrical parameter representing the magnitude of voltage, reflecting the voltage state of the power grid; current signal can refer to an electrical parameter representing the magnitude of current, reflecting the current flow in the power grid; adjustable sampling rate range can refer to the numerical range of the sampling rate that can be adjusted, used to specify the operating limits of the sampling rate; 100Hz to 2000Hz can refer to the specific numerical range of the sampling rate, defining the upper and lower limits of the acquisition frequency.

[0027] As a concrete example: at a wind farm grid connection point, the data acquisition module uses a high-precision data logging and analysis instrument, connected via a three-phase four-wire connection, and acquires voltage and current signals in real time at an adjustable sampling rate of 500Hz. The acquired voltage signal value is 230V, and the current signal value is 100A. These signals are transmitted to the subsequent processing unit. The data acquisition module adjusts the sampling rate to 1500Hz according to the grid requirements to capture high-frequency fluctuations, while also supporting backup connections for three-phase three-wire connections. The entire acquisition process includes signal conditioning and buffering to ensure data integrity and real-time performance.

[0028] This invention achieves accurate signal acquisition through a high-precision data recording and analysis instrument, supports multiple wiring methods to enhance compatibility, provides flexible adaptation to different scenarios with an adjustable sampling rate, ensures real-time feedback of grid parameters through voltage and current signal monitoring, optimizes data integrity by setting the sampling rate range, and improves the overall reliability and adaptability of data acquisition for new energy power plants.

[0029] In one possible implementation, the active power calculation module calculates active power using the instantaneous power method, root mean square method, or Fourier transform method, and outputs reactive power and apparent power.

[0030] Among them, the active power calculation module can refer to a functional unit that performs power calculations based on electrical signals to generate power parameters; the instantaneous power method can refer to a method that calculates power by multiplying the instantaneous values ​​of voltage and current, which can reflect power changes in real time; the root mean square method can refer to a method that calculates power based on the effective values ​​of voltage and current, which can provide steady-state power measurement; the Fourier transform method can refer to a method that calculates power components through frequency domain analysis to separate fundamental and harmonic power; active power can refer to the power component that electrical energy actually does work, which is used to measure effective energy transmission; reactive power can refer to the power component used to establish the electromagnetic field in AC circuits, which can reflect the reactive power support requirements of the system; and apparent power can refer to the product of the effective values ​​of voltage and current, which characterizes the total capacity of the system.

[0031] As a specific example: During the operation of a photovoltaic power station, the active power calculation module receives the three-phase voltage signal (230V) and current signal (150A) transmitted by the data acquisition module. When waveform distortion is detected, it automatically switches to the Fourier transform method to calculate the active power of 35kW. At the same time, the apparent power of 42kVA is calculated using the root mean square method, and the reactive power of 22kvar is calculated through the phase difference. Under steady-state conditions, the instantaneous power method is used for real-time verification. All power parameters are timestamped before being transmitted to the data processing and analysis module.

[0032] This invention ensures the accuracy and adaptability of power measurement through multi-algorithm adaptive calculation, outputs complete power parameters in real time to support comprehensive system monitoring, effectively handles harmonic environments using the Fourier transform method, guarantees steady-state accuracy using the root mean square method, and provides dynamic response capability using the instantaneous power method, thereby improving the overall accuracy of power control in new energy power plants and the reliability of grid interaction.

[0033] In one possible implementation, the frequency detection module uses digital phase-locked loop technology for frequency tracking, identifies frequency offsets and harmonic interference, and provides frequency change trend analysis.

[0034] Among them, the frequency detection module can refer to a functional unit that uses digital signal processing technology to monitor the frequency status of the power grid; digital phase-locked loop technology can refer to a control method that achieves phase synchronization through digital circuits, which can track the frequency of the input signal in real time; frequency tracking can refer to the process of dynamically following changes in the power grid frequency to maintain measurement synchronization; frequency offset can refer to the deviation between the actual frequency and the rated value, which is used to detect abnormal states of the power grid; harmonic interference can refer to the impact of high-order harmonics caused by nonlinear loads, which can identify power quality degradation; and frequency change trend analysis can refer to a method of statistically predicting historical frequency data to provide predictions of operating status.

[0035] As a specific example: During the operation of the wind farm grid connection point, the frequency detection module tracks the collected 50Hz voltage signal through digital phase-locked loop technology. When continuous frequency fluctuations are detected, the module identifies the 0.2Hz frequency offset and the third harmonic interference in real time. The module updates the frequency trend curve every 5 seconds. When it predicts that the frequency will exceed the normal range of 49.8-50.2Hz, it sends an early warning signal to the data processing and analysis module, and saves all frequency data for subsequent analysis.

[0036] This invention achieves precise frequency tracking through a digital phase-locked loop, enhances the ability to detect power grid anomalies by identifying frequency deviations and harmonic interference in real time, and provides forward-looking early warning support through trend analysis, thereby improving the overall response speed and safe operation level of new energy power plants to changes in power grid frequency.

[0037] In one possible implementation, the data processing and analysis module performs digital filtering, noise reduction, and normalization preprocessing on the active power and frequency information, calculates the maximum, minimum, average, and standard deviation, and supports data visualization.

[0038] The data processing and analysis module refers to the functional unit that cleans and processes the collected data to improve data quality and extract feature information; digital filtering refers to the process of eliminating high-frequency noise in the signal using digital algorithms, which can retain effective signal components; denoising refers to the operation of eliminating random interference in the data, which can improve the signal-to-noise ratio; normalization preprocessing refers to the processing method of scaling the data to a standard range to eliminate differences in dimensions; maximum value refers to the peak value in the data sequence, which is used to determine the extreme state of the parameter; minimum value refers to the valley value in the data sequence, which can reflect the lowest level of the parameter; average value refers to the arithmetic mean of the data sequence, which can characterize the central trend of the parameter; standard deviation refers to the statistical measure of the dispersion of the data, which can measure the range of parameter fluctuation; and data visualization refers to the conversion of data into a graphical presentation, which can intuitively display the changing patterns.

[0039] As a specific example: During the operation of a photovoltaic power station, the data processing and analysis module receives 50kW of active power data from the active power calculation module and 49.98Hz frequency data from the frequency detection module. First, a Butterworth filter is used for digital filtering to eliminate high-frequency interference. Then, wavelet transform is used to achieve noise reduction. Next, the data is normalized to the [0,1] interval. The statistics module calculates that the maximum active power is 55kW, the minimum is 45kW, the average is 50.2kW, and the standard deviation is 1.8. At the same time, a power fluctuation curve and a frequency trend graph are generated and displayed on the monitoring interface.

[0040] This invention effectively improves data quality through a systematic data processing workflow, ensures signal purity through digital filtering and noise reduction, enhances data comparability through normalization, comprehensively reflects operational characteristics through statistical parameters, and provides an intuitive monitoring interface through visualization. Overall, it strengthens the depth of data analysis and decision support capabilities of new energy power plants, while providing a reliable basis for fault prediction and performance optimization.

[0041] In one possible implementation, the data storage and management module uses a time-series database or a relational database to store the processed data and supports data querying, exporting, and backup, while also providing historical data backtracking and comparative analysis.

[0042] The data storage and management module can refer to the functional unit responsible for persistent data management, used to systematically organize and store data; the time-series database can refer to a dedicated database that stores data according to time series, capable of efficiently processing timestamped data; the relational database can refer to a database that uses a row-column structure to store data, capable of maintaining the relationships between data; the processed data can refer to a collection of cleaned and computed data to support subsequent applications; the data query can refer to the operation of retrieving data based on conditions, used to quickly locate target information; the data export can refer to the function of converting data into a standard format for output, enabling cross-system data exchange; the data backup can refer to the process of creating data copies to ensure data security; the historical data backtracking can refer to the function of retrieving past historical records, used to trace changes in system status; and the comparative analysis can refer to the method of comparing data from different periods, capable of identifying differences in operating modes.

[0043] As a concrete example: In a wind farm monitoring system, the data storage and management module uses the InfluxDB time-series database to store active power and frequency data for the past three months, while using a MySQL relational database to store device configuration information; when operators need to analyze the power fluctuations of the previous week, they can extract the average data for a specific time period through SQL queries and export it as a CSV file for third-party tools to analyze; the system automatically performs a full backup to cloud storage every night; during quarterly performance evaluations, the module supports comparing and analyzing the data of the current quarter with the data of the same period last year, generating a difference report showing a performance improvement of 12%.

[0044] This invention achieves efficient data storage and association management through a dual-database architecture, improves data retrieval efficiency through a flexible query mechanism, promotes data interconnection through multi-format export, ensures data security and reliability through regular backup, supports operation trajectory tracking through historical backtracking function, and assists in performance optimization decisions through comparative analysis capabilities, thereby enhancing the integrity and availability of data management for new energy power plants as a whole.

[0045] In one possible implementation, the communication interface module supports Modbus TCP, IEC 61850, MQTT or OPCUA communication protocols and provides redundant communication paths to ensure data transmission reliability.

[0046] Among these, the communication interface module can refer to the interface component responsible for exchanging data with external systems and establishing communication connections; Modbus TCP can refer to the TCP / IP-based industrial communication protocol, enabling data reading and writing between devices; IEC61850 can refer to the power system automation communication standard, supporting interoperability of substation equipment; MQTT can refer to the lightweight publish-subscribe messaging protocol, suitable for constrained network environments; OPC UA can refer to the unified architecture protocol for industrial automation, used to achieve secure data exchange; the communication protocol can refer to the convention that standardizes data formats and transmission rules, ensuring correct parsing by both communicating parties; redundant communication paths can refer to the mechanism that provides backup transmission channels to cope with the failure of the main channel; and data transmission reliability can refer to the ability to deliver data completely and accurately, used to ensure communication quality.

[0047] As a concrete example: In a photovoltaic power plant monitoring system, the communication interface module receives active power data from the data storage and management module via the Modbus TCP protocol, and simultaneously establishes dual connections on the primary path (fiber optic Ethernet) and the backup path (4G wireless network). When sending 50.2kW power data to the dispatch center, if the primary path delay exceeds the threshold, it automatically switches to the backup path to continue transmission, and ensures data integrity through CRC verification. The module also supports simultaneous communication with protection devices using the IEC 61850 protocol and pushes operating status to the cloud platform using the MQTT protocol.

[0048] This invention enhances system compatibility through multi-protocol adaptation, improves transmission robustness through redundant communication design, ensures communication continuity through automatic switching mechanism, and ensures information integrity through data verification function. Overall, it improves the communication reliability and system integration capability of new energy power stations in complex network environments.

[0049] In one possible implementation, the data processing and analysis module also generates alarm signals based on statistical analysis results and sends them to an external system through the communication interface module.

[0050] Among them, the data processing and analysis module can refer to the functional unit that cleans and processes the collected data to improve data quality and extract feature information; the statistical analysis results can refer to the quantitative output obtained through statistical analysis, which can indicate data characteristics and abnormal situations; the alarm signal can refer to the warning information generated when an anomaly is detected, which can trigger the response action of the external system.

[0051] As a specific example: In wind farm operation monitoring, the data processing and analysis module generates an alarm signal for abnormal power fluctuation when the calculated standard deviation exceeds the preset threshold of 2.5, based on the statistical analysis results of active power data. This alarm signal is sent to the external system of the dispatch center in real time through the MQTT protocol of the communication interface module, triggering an automatic adjustment command. At the same time, the module records the alarm timestamp and related data for subsequent analysis.

[0052] This invention enables real-time monitoring and rapid response to operational anomalies at new energy power plants by automatically generating alarm signals based on statistical analysis results. Alarms are promptly sent to external systems via a communication interface module, improving grid security and operational efficiency. Overall, the system's early warning capabilities and automation level are enhanced, while integrated processing optimizes the anomaly management process.

[0053] In one possible implementation, the data processing and analysis module also calculates the active power smoothness index. The formula for its calculation is: in, It is a phase index, representing one of the three phases, with a value range from 1 to 3, determined by the three-phase system of the data acquisition module; This is a time window index, representing the window divided within the total time period, with values ​​ranging from 1 to... The timeframe is set by the data processing and analysis module according to the analysis cycle. This is the sampling point index, representing the sampling point within each time window, with values ​​ranging from 1 to... The sampling rate is determined by the data acquisition module; It is the first Phase, First The first time window, the first The active power value of each sampling point comes from the calculation results of the active power calculation module; It is the first Phase, First The average active power within each time window is calculated by the data processing and analysis module. ; This is the total number of time windows, which is derived by the data processing and analysis module based on the total time period and the window size. It is the number of sampling points within each time window, derived from the sampling rate and window size of the data acquisition module.

[0054] The data processing and analysis module refers to the functional unit that cleans and processes the collected data to improve data quality and extract feature information; the active power smoothness index refers to a comprehensive evaluation parameter that quantifies the degree of power fluctuation and reflects the stability of the output power of new energy power plants; the phase index refers to the identifier that distinguishes different phases in a three-phase circuit and is used to process the data of each phase separately; the time window index refers to the sequence number that divides a continuous time period into several analysis units to support segmented statistical analysis; the sampling point index refers to the sequence number of data points arranged in chronological order within each time window, which can identify the specific sampling time; the active power value refers to the active power value measured at a specific phase, a specific time window, and a specific sampling time, which comes from the result of real-time power calculation; the total number of time windows refers to the number of complete windows contained in the total time period, which is determined by the analysis duration and the window size; and the number of sampling points refers to the total number of sampling points contained in a single time window, which is determined by the product of the sampling rate and the window duration.

[0055] As a specific example: In wind farm operation monitoring, the data processing and analysis module acquires three-phase active power data collected by the data acquisition module at a sampling rate of 1000Hz. It sets 15 minutes as an analysis cycle and divides it into M=15 time windows with a duration of 1 minute. Each window contains N=60000 sampling points. The module first calculates the average power of phase A in the first time window, and then calculates the standard deviation component of the window. After processing all window data of the three phases in sequence, the smoothness index is finally calculated to be 0.085. When this value exceeds the threshold of 0.1, a power fluctuation warning is triggered.

[0056] This invention establishes a multi-level power smoothness evaluation system, which enables precise quantification of the output power quality of new energy power plants. Three-phase independent calculation ensures the comprehensiveness of the evaluation, time window division supports multi-scale analysis, and standardized processing ensures the comparability of results. It provides an important basis for power plant operation optimization and grid dispatch, and effectively improves the new energy absorption capacity and grid stability.

[0057] In one possible implementation, the data processing and analysis module also calculates the frequency stability index. The formula for its calculation is: in, It is a phase index, representing one of the three phases, with a value range from 1 to 3, determined by the three-phase system of the data acquisition module; This is a time window index, representing the window divided within the total time period, with values ​​ranging from 1 to... The timeframe is set by the data processing and analysis module according to the analysis cycle. This is the sampling point index, representing the sampling point within each time window, with values ​​ranging from 1 to... The sampling rate is determined by the data acquisition module; It is the first Phase, First The first time window, the first The frequency values ​​of each sampling point are extracted from the frequency detection module. It is the first Phase, First The average frequency within each time window is calculated by the data processing and analysis module. ; This is the total number of time windows, which is derived by the data processing and analysis module based on the total time period and the window size. It is the number of sampling points within each time window, derived from the sampling rate and window size of the data acquisition module.

[0058] The data processing and analysis module refers to the functional unit that cleans and processes the collected data to improve data quality and extract feature information; the frequency stability index refers to a comprehensive evaluation parameter that quantifies the degree of frequency fluctuation and reflects the stable state of the power grid frequency; the phase index refers to the identifier that distinguishes different phases in a three-phase circuit and is used to process the frequency data of each phase separately; the time window index refers to the sequence number that divides a continuous time period into several analysis units to support segmented frequency evaluation; the sampling point index refers to the sequence number of data points arranged in chronological order within each time window, which can identify the specific sampling time; the frequency value refers to the frequency value measured in a specific phase, a specific time window, and a specific sampling time, which comes from the real-time measurement results of the frequency detection module; the total number of time windows refers to the number of complete windows contained in the total time period, which is determined by the analysis duration and the window size; and the number of sampling points refers to the total number of sampling points contained in a single time window, which is determined by the product of the sampling rate and the window duration.

[0059] As a specific example: In the grid-connected monitoring of a photovoltaic power station, the data processing and analysis module acquires three-phase frequency data collected by the frequency detection module at a sampling rate of 1000Hz. It sets a 10-minute analysis cycle and divides it into M=10 time windows of 1 minute each, with each window containing N=60,000 sampling points. The module first calculates the average frequency of phase A in the first time window, and then calculates the standard deviation component of that window. After processing all window data for the three phases sequentially, the final calculated frequency stability index is 0.032Hz. When this value exceeds the threshold of 0.05Hz, a frequency fluctuation alarm is triggered, and the warning information is sent to the dispatch center through the communication interface module.

[0060] This invention establishes a multi-level frequency stability assessment system, which enables precise quantification of power grid frequency quality. Independent three-phase calculations ensure comprehensive assessment, time window division supports multi-scale analysis, and standardized processing guarantees comparability of results. It provides an important basis for power grid frequency regulation and operation control of new energy power plants, effectively improving the power quality and operational stability of the power grid.

[0061] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments in this specification are not limited to the described order of actions, because according to the embodiments in this specification, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments in this specification.

[0062] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0063] The preferred embodiments disclosed above are merely illustrative of this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the embodiments described herein. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the embodiments, thereby enabling those skilled in the art to better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A system for acquiring, analyzing, and processing active power at a new energy power station, characterized in that, include: The data acquisition module is deployed at the grid connection point of the new energy power station to collect voltage and current signals in real time. An active power calculation module, connected to the data acquisition module, is used to calculate active power based on the voltage signal and the current signal; A frequency detection module, connected to the data acquisition module, is used to extract frequency information from the voltage signal; A data processing and analysis module, connected to the active power calculation module and the frequency detection module, is used to preprocess and statistically analyze the active power and frequency information; a data storage and management module, connected to the data processing and analysis module, is used to store the processed data. The communication interface module is connected to the data storage and management module and is used for data interaction with external systems.

2. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The data acquisition module includes a high-precision data recording and analysis instrument, which supports three-phase four-wire or three-phase three-wire wiring methods, and acquires the voltage signal and the current signal with an adjustable sampling rate ranging from 100Hz to 2000Hz.

3. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The active power calculation module calculates the active power using the instantaneous power method, root mean square method, or Fourier transform method, and outputs reactive power and apparent power.

4. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The frequency detection module uses digital phase-locked loop technology for frequency tracking, identifies frequency offsets and harmonic interference, and provides frequency change trend analysis.

5. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The data processing and analysis module performs digital filtering, noise reduction, and normalization preprocessing on the active power and frequency information, and calculates the maximum, minimum, average, and standard deviation, while also supporting data visualization.

6. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The data storage and management module uses a time-series database or a relational database to store the processed data, and supports data query, export and backup, while also providing historical data backtracking and comparative analysis.

7. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The communication interface module supports Modbus TCP, IEC 61850, MQTT or OPC UA communication protocols, and provides redundant communication paths to ensure data transmission reliability.

8. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The data processing and analysis module also generates alarm signals based on the statistical analysis results and sends them to external systems through the communication interface module.

9. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The data processing and analysis module also calculates the active power smoothness index. The formula for its calculation is: in, It is a phase index, representing one of the three phases, with a value range from 1 to 3, determined by the three-phase system of the data acquisition module; This is a time window index, representing the window divided within the total time period, with values ​​ranging from 1 to... The data processing and analysis module sets the timeframe according to the analysis cycle. This is the sampling point index, representing the sampling point within each time window, with values ​​ranging from 1 to... The sampling rate is determined by the data acquisition module. It is the first Phase, First The first time window, the first The active power value of each sampling point comes from the calculation result of the active power calculation module; It is the first Phase, First The average active power within each time window is calculated by the data processing and analysis module. ； This is the total number of time windows, which is derived by the data processing and analysis module based on the total time period and the window size. It is the number of sampling points within each time window, which is derived from the sampling rate and window size of the data acquisition module.

10. The active power acquisition, analysis and processing system for new energy power plants according to claim 1, characterized in that, The data processing and analysis module also calculates frequency stability indicators. The formula for its calculation is: in, It is a phase index, representing one of the three phases, with a value range from 1 to 3, determined by the three-phase system of the data acquisition module; This is a time window index, representing the window divided within the total time period, with values ​​ranging from 1 to... The data processing and analysis module sets the timeframe according to the analysis cycle. This is the sampling point index, representing the sampling point within each time window, with values ​​ranging from 1 to... The sampling rate is determined by the data acquisition module. It is the first Phase, First The first time window, the first The frequency values ​​of each sampling point are derived from the extraction results of the frequency detection module; It is the first Phase, First The average frequency within each time window is calculated by the data processing and analysis module. ； This is the total number of time windows, which is derived by the data processing and analysis module based on the total time period and the window size. It is the number of sampling points within each time window, which is derived from the sampling rate and window size of the data acquisition module.

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