A new energy station flicker evaluation method and system based on multi-source data fusion and traceability decoupling

Abstract

This invention discloses a method and system for evaluating flicker at new energy power plants based on multi-source data fusion and source decoupling. The method includes: acquiring multi-source heterogeneous data from the new energy power plant; synchronizing the multi-source heterogeneous data in time; and constructing a fusion database indexed by a unified time scale based on the synchronization results; estimating background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation flicker Pst_op using a flicker contribution decoupling model based on the fusion database; and evaluating the flicker at the new energy power plant based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation flicker Pst_op. This method and system can achieve flicker evaluation at power plants based on multi-source data fusion.

Description

Technical Field

[0001] This invention belongs to the field of power system analysis and control technology, and relates to a flicker evaluation method and system for new energy power plants based on multi-source data fusion and source decoupling. Background Technology

[0002] With the increasing penetration rate of new energy sources, the voltage flicker problem caused by the randomness and fluctuation of their output is becoming increasingly prominent, and is a key indicator for grid connection assessment. Current international standard IEC 61000-4-15 and grid connection regulations of various countries mainly specify the measurement methods (Pst, Plt) and limits for flicker, but they have serious shortcomings: Judging symptoms without addressing the underlying cause: Simply providing a "qualified / unqualified" conclusion fails to answer whether the main source of flicker is the power station itself, the background power grid, or a specific unit or operation.

[0003] A one-size-fits-all approach to evaluation is unfair: using the same limit for power plants of different capacities and units of different technical specifications fails to reflect their true fluctuation characteristics and is not conducive to encouraging the application of advanced low-flicker technologies.

[0004] Lack of governance guidance: After the flicker exceeds the standard, the station owners often can only adopt a costly and comprehensive approach to governance (such as the general installation of SVG) because they cannot locate the root cause. This approach lacks specificity and is not economical.

[0005] Current technological limitations: Although there have been attempts to correlate power and flicker in current academic and engineering practices, most of these attempts remain at the level of simple correlation analysis. There is a lack of systematic and engineerable methods to accurately decouple the total flicker value into contributions from different physical sources, and a complete technological chain from "measurement" to "diagnosis" to "recommendation" has not yet been formed. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and system for evaluating flicker of new energy power plants based on multi-source data fusion and source decoupling. This method and system can achieve flicker evaluation of power plants based on multi-source data fusion.

[0007] To achieve the above objectives, this invention discloses a flicker evaluation method for new energy power plants based on multi-source data fusion and source decoupling, comprising: Acquire multi-source heterogeneous data from new energy power stations, synchronize the multi-source heterogeneous data in time, and construct a fusion database indexed by a unified time scale based on the synchronization results; Based on the fused database, the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op are estimated using the flicker contribution decoupling model. The flicker of new energy power plants is evaluated based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op.

[0008] Furthermore, the multi-source heterogeneous data includes time, voltage / current sampling values, total active / reactive power across the field, key unit status, and wind speed / irradiance.

[0009] Furthermore, a software synchronization method based on high-precision timestamps and interpolation algorithms is used to synchronize the time of the multi-source heterogeneous data.

[0010] Furthermore, the process of estimating the background flicker Pst_bg is as follows: Identify periods during which the output power of new energy power plants is continuously zero or below a threshold, and designate these periods as quiet periods; Calculate the short-time flicker Pst value during the quiet period and use it as an estimate of the background grid flicker contribution Pst_bg.

[0011] Furthermore, the process of estimating the event-type flash Pst_ev is as follows: Acquire unit status signals and power derivatives from SCADA, and automatically mark the start and end times of events [T_start, T_end] by combining sliding time windows and threshold comparisons; Calculate the Pst value Pst_total_window within the event time window, and subtract the estimated background flicker Pst_bg_window within the window to obtain the event flicker contribution Pst_ev = Pst_total_window - Pst_bg_window.

[0012] Furthermore, the process of obtaining the fluctuating flicker Pst_op is estimated as follows: Construct a dynamic mathematical model between the rate of change of total active power and the fluctuating flicker of the operation; Based on the current rate of change of total active power across the entire field, the current operating fluctuating flicker Pst_op is determined using the aforementioned dynamic data model.

[0013] Furthermore, if the proportion of Pst_bg is higher than the first preset value, it is considered to be mainly affected by the power grid background, and it is recommended that the station install monitoring and recording equipment and communicate with the power grid company. When the proportion of Pst_ev is higher than the second preset value and a certain type of event is prominent, an optimized start-up and shutdown strategy is adopted, the operation is staggered, and the soft start device of the relevant unit is checked. When the proportion of Pst_op is higher than the third preset value and the value of K_f is large, an optimized power smoothing control strategy is adopted, and the configuration or optimization of the energy storage system is considered to smooth the output.

[0014] This invention discloses a flicker evaluation system for new energy power plants based on multi-source data fusion and source decoupling, comprising: The acquisition module is used to acquire multi-source heterogeneous data from new energy power stations, synchronize the multi-source heterogeneous data in time, and construct a fusion database indexed by a unified time scale based on the synchronization results. The estimation module is used to estimate the background flicker Pst_bg, event-type flicker Pst_ev, and running fluctuation-type flicker Pst_op based on the fused database and using the flicker contribution decoupling model. The evaluation module is used to evaluate the flicker of new energy power plants based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op.

[0015] This invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the new energy power station flicker evaluation method based on multi-source data fusion and source decoupling.

[0016] This invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the new energy power station flicker evaluation method based on multi-source data fusion and source decoupling.

[0017] The present invention has the following beneficial effects: The flicker evaluation method and system for new energy power plants based on multi-source data fusion and source decoupling described in this invention acquires multi-source heterogeneous data from new energy power plants during operation, synchronizes the multi-source heterogeneous data in time, and constructs a fusion database indexed by a unified time scale based on the synchronization results. Based on the fusion database, a flicker contribution decoupling model is used to estimate background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation flicker Pst_op, thereby scientifically decoupling the total flicker at the grid connection point into quantitative contributions of three physical sources: background, event, and operational, solving the problem of responsibility allocation. In addition, the flicker of new energy power plants is evaluated based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation flicker Pst_op, and the test data is transformed into directly executable operation, maintenance, control, and transformation suggestions, greatly improving the efficiency and economy of power plant power quality management. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0022] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0023] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this invention generally indicates that the preceding and following objects have an "or" relationship.

[0024] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0025] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0027] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0028] Example 1 refer to Figure 1 The flicker evaluation method for new energy power plants based on multi-source data fusion and source decoupling, as described in this invention, includes the following steps: 1) Data layer: High-precision synchronization and fusion of multi-source heterogeneous data; Data sources: Power quality monitoring devices at grid connection points (≥200Hz), station monitoring systems (SCADA, second-level), and meteorological station data.

[0029] Synchronization technology: Hardware time synchronization based on IEEE 1588 (PTP) or GPS / BeiDou is adopted, with a time synchronization accuracy better than 1ms. For data stored in non-real-time systems, a software synchronization method based on high-precision timestamps and interpolation algorithms is used.

[0030] Unified Database: Establish a unified database indexed by a unified time scale. Fields include: time, voltage / current sample value, total active / reactive power of the entire field, status of key units, wind speed / irradiance, etc.

[0031] 2) Core algorithm layer: Flash contribution decoupling model; 21) Standard flicker value calculation and feature extraction; Based on the flicker meter model of the IEC 61000-4-15 standard, the instantaneous flicker visual perception is calculated.

[0032] Extract short-time flicker (Pst) and long-time flicker (Plt).

[0033] The main frequency domain features of flicker fluctuations are extracted synchronously (interharmonic frequency bands related to wind turbine speed and inverter switching frequency are identified through wavelet packet transform or FFT analysis).

[0034] 21) Estimate background flicker (Pst_bg); The period during which the station's output power remains at zero or below a threshold (such as 1% of rated capacity) is identified as the "quiet period".

[0035] Calculate the Pst value during the quiet period and use it as an estimate of the background grid flicker contribution, Pst_bg.

[0036] 22) Event-driven flicker (Pst_ev) identification and quantization Event definition: A step change in the power of one or more units exceeding a threshold (e.g., 20% of rated power) within a short period of time (e.g., 30 seconds) (start-up, shutdown, emergency load reduction).

[0037] Identification algorithm: Real-time monitoring of unit status signals and power derivative (dP / dt) in SCADA, combined with sliding time window and threshold comparison, automatically marks the start and end times of events [T_start, T_end].

[0038] Quantitative calculation: Calculate the Pst value Pst_total_window within the event time window, and subtract the estimated background flicker Pst_bg_window within the window to obtain the event flicker contribution Pst_ev = Pst_total_window - Pst_bg_window.

[0039] 23) Modeling the fluctuation-type flicker (Pst_op) Data preparation: Remove all identified event time window data from the total data.

[0040] Model Establishment: A dynamic mathematical model is established between the rate of change of total active power (dP / dt) and the instantaneous flicker intensity in the remaining data (representing continuous operating conditions). This invention preferably uses system identification methods (such as ARX models or state-space models) or machine learning methods (such as gradient boosting trees) to fit this dynamic relationship: Pst_op(t) = F(dP(t) / dt, P(t), ...).

[0041] Contribution Calculation: Using a dynamic mathematical model, the flicker contribution Pst_op caused by the power fluctuation of the power station itself is calculated during any continuous operating period.

[0042] 3) Application Layer: Generation of Sub-item Evaluation and Governance Recommendations Comprehensive evaluation dashboard: Displays the contribution ratio of Pst_total and its decoupled components Pst_bg, Pst_ev, and Pst_op in chart form (pie chart) and their changes over time (stacked area chart).

[0043] Dynamic performance indicators: Unit fluctuation flicker coefficient: K_f = Pst_op_avg / (dP / dt)_rms, used to fairly compare the fluctuation "quality" of different stations.

[0044] Event Flash Emission List: List all identified events, such as "#3 wind turbine started at 10:05 am", and attach their Pst_ev values. Sort the events and find the "worst" ones.

[0045] Automated diagnostic reports and recommendations: When Pst_bg accounts for a high percentage, the report indicates that it is "mainly affected by the power grid background" and recommends that the site install monitoring and recording equipment and communicate with the power grid company.

[0046] When the proportion of Pst_ev is high and a certain type of event (such as startup) is prominent, the report recommends "optimizing the start-up and shutdown strategy, staggering the execution, and checking the soft start device of the relevant unit".

[0047] When Pst_op is high and K_f is large, the report recommends "optimizing the power smoothing control strategy and considering configuring or optimizing the energy storage system to smooth the output".

[0048] Example 2 The flicker evaluation system for new energy power plants based on multi-source data fusion and source decoupling, as described in this invention, includes: The acquisition module is used to acquire multi-source heterogeneous data from new energy power stations, synchronize the multi-source heterogeneous data in time, and construct a fusion database indexed by a unified time scale based on the synchronization results. The estimation module is used to estimate the background flicker Pst_bg, event-type flicker Pst_ev, and running fluctuation-type flicker Pst_op based on the fused database and using the flicker contribution decoupling model. The evaluation module is used to evaluate the flicker of new energy power plants based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op.

[0049] The module division in this embodiment is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in each embodiment of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0050] Example 3 A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the flicker evaluation method for new energy power plants based on multi-source data fusion and source decoupling. For example, the method includes: acquiring multi-source heterogeneous data from the new energy power plant; synchronizing the multi-source heterogeneous data in time; and constructing a fusion database indexed by a unified time scale based on the synchronization results; estimating background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation flicker Pst_op using a flicker contribution decoupling model based on the fusion database; and evaluating the flicker of the new energy power plant based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation flicker Pst_op. The memory may include main memory, such as high-speed random access memory (RAM), or non-volatile memory, such as at least one disk storage device. The processor, network interface, and memory are interconnected via an internal bus, which may be an industry-standard architecture bus, a peripheral component interconnection standard bus, or an extended industry-standard architecture bus. The bus can be categorized as an address bus, data bus, or control bus. The memory stores programs; specifically, the program may include program code, which includes computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0051] Example 4 A computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the flicker evaluation method for new energy power plants based on multi-source data fusion and source decoupling. For example, the method includes: acquiring multi-source heterogeneous data from new energy power plants; synchronizing the multi-source heterogeneous data in time; and constructing a fusion database indexed by a unified time scale based on the synchronization results; estimating background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op using a flicker contribution decoupling model based on the fusion database; and evaluating the flicker of the new energy power plant based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op. Specifically, the computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0052] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied 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.

[0053] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0054] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0055] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0056] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0057] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0058] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A new energy station flicker evaluation method based on multi-source data fusion and traceability decoupling, characterized by, include: Acquire multi-source heterogeneous data from new energy power stations, synchronize the multi-source heterogeneous data in time, and construct a fusion database indexed by a unified time scale based on the synchronization results; Based on the fused database, the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op are estimated using the flicker contribution decoupling model. The flicker of new energy power plants is evaluated based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op.

2. The new energy field station flicker evaluation method based on multi-source data fusion and traceability decoupling according to claim 1, characterized in that, The multi-source heterogeneous data includes time, voltage / current sampling values, total active / reactive power across the field, key unit status, and wind speed / irradiance.

3. The new energy field station flicker evaluation method based on multi-source data fusion and traceability decoupling according to claim 1, characterized in that, A software synchronization method based on high-precision timestamps and interpolation algorithms is used to synchronize the time of the multi-source heterogeneous data.

4. The new energy field station flicker evaluation method based on multi-source data fusion and traceability decoupling according to claim 1, characterized in that, The process of obtaining the background flicker Pst_bg is estimated to be as follows: Identify periods during which the output power of new energy power plants is continuously zero or below a threshold, and designate these periods as quiet periods; Calculate the short-time flicker Pst value during the quiet period and use it as an estimate of the background grid flicker contribution Pst_bg.

5. The new energy field station flicker evaluation method based on multi-source data fusion and traceability decoupling according to claim 1, characterized in that, The process of obtaining the event-type flash Pst_ev is estimated to be as follows: Acquire unit status signals and power derivatives from SCADA, and automatically mark the start and end times of events [T_start, T_end] by combining sliding time windows and threshold comparisons; Calculate the Pst value Pst_total_window within the event time window, and subtract the estimated background flicker Pst_bg_window within the window to obtain the event flicker contribution Pst_ev = Pst_total_window - Pst_bg_window.

6. The new energy field station flicker evaluation method based on multi-source data fusion and traceability decoupling according to claim 1, characterized in that, The estimated process for obtaining the fluctuating flicker Pst_op is as follows: Construct a dynamic mathematical model between the rate of change of total active power and the fluctuating flicker of the operation; Based on the current rate of change of total active power across the entire field, the current operating fluctuating flicker Pst_op is determined using the aforementioned dynamic data model.

7. The new energy field station flicker evaluation method based on multi-source data fusion and traceability decoupling according to claim 1, characterized in that, When the proportion of Pst_bg is higher than the first preset value, it is considered to be mainly affected by the power grid background. It is recommended that the station install monitoring and recording equipment and communicate with the power grid company. When the proportion of Pst_ev is higher than the second preset value and a certain type of event is prominent, an optimized start-up and shutdown strategy is adopted, the operation is staggered, and the soft start device of the relevant unit is checked. When the proportion of Pst_op is higher than the third preset value and the value of K_f is large, an optimized power smoothing control strategy is adopted, and the configuration or optimization of the energy storage system is considered to smooth the output.

8. A new energy field station flicker evaluation system based on multi-source data fusion and traceability decoupling, characterized in that, include: The acquisition module is used to acquire multi-source heterogeneous data from new energy power stations, synchronize the multi-source heterogeneous data in time, and construct a fusion database indexed by a unified time scale based on the synchronization results. The estimation module is used to estimate the background flicker Pst_bg, event-type flicker Pst_ev, and running fluctuation-type flicker Pst_op based on the fused database and using the flicker contribution decoupling model. The evaluation module is used to evaluate the flicker of new energy power plants based on the background flicker Pst_bg, event-type flicker Pst_ev, and operational fluctuation-type flicker Pst_op.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the new energy power station flicker evaluation method based on multi-source data fusion and source decoupling as described in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the new energy power station flicker evaluation method based on multi-source data fusion and source decoupling as described in any one of claims 1-7.

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