Method and system for online analysis of AGC / AVC regulation and control performance of new energy station

By obtaining the historical data and real-time operation data of new energy stations, and using index algorithms to analyze the regulation performance of the AGC/AVC system, the problem that the regulation performance of new energy stations is affected by a variety of factors is solved, and more accurate performance display and optimization decisions are achieved.

CN119543104AActive Publication Date: 2025-02-28ENERGY CONSTR TIMES (SHANGHAI) NEW ENERGY STORAGE TECH RES INST CO LTD
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Patent Information

Application Number
CN202411470114.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-21
Publication Date
2025-02-28
Estimated Expiration
2044-10-21

AI Technical Summary

Technical Problem

The AGC/AVC regulation performance of new energy stations is affected by a variety of factors, resulting in unsatisfactory adjustment effects, affecting the operating efficiency and the safety and stability of the power grid.

Method used

By obtaining historical data of new energy stations, using preset indicator algorithms to calculate the standards for evaluation indicators, and collecting operation data of the AGC system and AVC system in real time for regulation performance analysis and display.

Benefits of technology

It realizes a more accurate display of the AGC/AVC regulation performance of new energy stations, helping operation and maintenance personnel to quickly understand the system performance status, identify problems and optimize space, thereby improving operational efficiency and grid stability.

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Abstract

The invention relates to the technical field of new energy station performance analysis, in particular to a new energy station AGC / AVC regulation and control performance online analysis method and system, and the method comprises the steps: obtaining the historical data of a new energy station, and calculating and obtaining the index standard of an evaluation index through a preset index algorithm; acquiring operation data of an AGC system and an AVC system in the new energy station in real time; the regulation and control performance of the AGC system and the AVC system is analyzed; and displaying according to an analysis result. The standard of the corresponding index calculated by the method can more scientifically reflect the actual operation condition of the new energy station, and a solid foundation is provided for subsequent performance analysis. According to the calculated evaluation index standard and the real-time collected operation data of the AGC system and the AVC system, the regulation and control performance of the AGC system and the AVC system is comprehensively analyzed, whether the system meets preset requirements or not is evaluated, and operation and maintenance personnel can quickly know the performance condition of the system and make corresponding decisions.
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Description

Technical Field

[0001] The present invention relates to the technical field of new energy station performance analysis, and in particular to a new energy station AGC / AVC control performance online analysis method and system. Background Art

[0002] As the world pays more and more attention to the use of renewable energy, the performance optimization and stable operation of new energy stations, as an important part of clean energy, have become the focus of industry attention. New energy stations, especially photovoltaic power stations and wind farms, have significant environmental and economic benefits, but because their power generation is greatly affected by the natural environment and has the characteristics of intermittent and volatile, it brings great challenges to the dispatching and operation of the power grid.

[0003] In order to meet these challenges and ensure that new energy stations can be efficiently and stably connected to the grid, automatic generation control (AGC) and automatic voltage control (AVC) systems have emerged. The AGC system is mainly responsible for adjusting the output power of the generator in real time according to the load demand of the power grid and the actual situation of the new energy station to maintain the frequency stability of the power grid. The AVC system focuses on monitoring and adjusting the grid voltage to ensure that the voltage fluctuates within a reasonable range, thereby improving the power quality and power supply reliability.

[0004] However, in actual operation, the AGC / AVC control performance of new energy stations is often affected by many factors, such as equipment performance, control strategy, environmental conditions, etc. These factors may lead to unsatisfactory regulation effects of the AGC / AVC system, thus affecting the overall operating efficiency of the new energy stations and the safety and stability of the power grid.

[0005] Therefore, it is particularly important to conduct online analysis of the AGC / AVC control performance of new energy stations. Summary of the invention

[0006] (I) Purpose of the invention

[0007] The purpose of the present invention is to provide a device that can more accurately display the AGC / AVC control performance of new energy stations.

[0008] (II) Technical solution

[0009] In order to solve the above problems, the present invention provides an online analysis method for AGC / AVC control performance of a new energy station, comprising:

[0010] Obtain historical data of new energy stations, and use the preset indicator algorithm to calculate the indicator standards for obtaining evaluation indicators;

[0011] Real-time collection of operating data of AGC and AVC systems in new energy stations;

[0012] Analyze the control performance of the AGC system and the AVC system according to the indicator standards of the evaluation indicators and the operating data of the AGC system and the AVC system collected in real time;

[0013] Display based on analysis results.

[0014] In another aspect of the present invention, preferably,

[0015] The evaluation indicators of the AGC system include: regulation accuracy, response time, and power generation completion;

[0016] The evaluation indicators of the AVC system include: voltage deviation, voltage fluctuation, regulation speed and AVC system stability.

[0017] In another aspect of the present invention, preferably,

[0018] The historical data of the new energy station includes the target power and actual output power adjusted by the AGC system for several times;

[0019] The preset index algorithm includes an adjustment accuracy index algorithm;

[0020] The adjustment accuracy index algorithm uses the following formula to calculate the adjustment accuracy index standard:

[0021]

[0022] Among them, P acc Indicates the adjustment accuracy index standard; P set,i represents the target power of the ith adjustment, P out,i represents the actual output power for the ith time, and n represents the number of times the AGC system is adjusted.

[0023] In another aspect of the present invention, preferably,

[0024] The historical data of the new energy station includes the average response time of several AGC system adjustments, the time when each adjustment instruction is issued, and the time when each adjustment actually starts;

[0025] The preset indicator algorithm includes a response time indicator algorithm;

[0026] The response time index algorithm uses the following formula to calculate the response time index standard:

[0027]

[0028] Among them, T resp Represents the response time indicator standard, Tcmd,i Indicates the time when the i-th adjustment instruction is issued, T start,i It represents the time when the i-th adjustment actually starts, ΔT represents the average response time of n adjustments, and n represents the number of adjustments of the AGC system.

[0029] In another aspect of the present invention, preferably,

[0030] The historical data of the new energy station includes target voltages regulated by the AVC system for several times and actual output voltages regulated by the AVC system for several times;

[0031] The preset index algorithm includes a voltage deviation index algorithm;

[0032] The voltage deviation index algorithm uses the following formula to calculate the voltage deviation index standard:

[0033]

[0034] Among them, V dev Indicates the voltage deviation index standard, m indicates the number of AVC system adjustments, V set,j represents the target voltage for the jth adjustment, V out,j Represents the actual output voltage for the ith time.

[0035] In another aspect of the present invention, preferably,

[0036] The historical data of the new energy station includes the target voltage adjusted by the AVC system for several times and the average value of the actual output voltage adjusted by the AVC system for several times;

[0037] The preset index algorithm includes a voltage fluctuation index algorithm;

[0038] The voltage fluctuation index algorithm uses the following formula to calculate the voltage fluctuation index standard:

[0039]

[0040] Among them, V fluct Indicates the voltage fluctuation index standard, m indicates the number of AVC system adjustments, V out,j represents the jth actual output voltage, It represents the average value of the actual output voltage in m adjustments.

[0041] In another aspect of the present invention, preferably,

[0042] The historical data of the new energy station includes the actual output voltage adjusted by the AVC system for several times and the duration of each adjustment;

[0043] The preset index algorithm includes an adjustment speed index algorithm;

[0044] The speed adjustment algorithm uses the following formula to calculate the speed adjustment standard:

[0045]

[0046] Among them, V fluct Indicates the adjustment speed index standard, m indicates the number of AVC system adjustments, V out,j Indicates the jth actual output voltage, V out,j-1 Indicates the actual output voltage for the j-1th time, Δt j represents the duration of the jth adjustment.

[0047] In another aspect of the present invention, preferably,

[0048] The historical data of the new energy station includes actual output voltages regulated by the AVC system for several times and target voltages regulated by the AVC system for several times;

[0049] The preset index algorithm includes an AVC system stability index algorithm;

[0050] The AVC system stability index algorithm uses the following formula to calculate the AVC system stability index standard:

[0051]

[0052] Among them, S avc Represents the stability index standard of the AVC system, V prev,j is the voltage before the jth adjustment, V out,j Indicates the jth actual output voltage, V set,j Represents the target voltage of the jth adjustment.

[0053] In another aspect of the present invention, preferably, analyzing the control performance of the AGC system and the AVC system according to the index standard of the evaluation index and the operation data of the AGC system and the AVC system collected in real time includes:

[0054] The difference between the index standards of the evaluation index and the difference between the real-time collected operation data of the AGC system and the AVC system is subtracted and divided by the index standards of the corresponding evaluation index to obtain the scores of each evaluation index.

[0055] In another aspect of the present invention, preferably, a new energy station AGC / AVC control performance online analysis system comprises:

[0056] Calculation standard module: obtain historical data of new energy stations, use the preset indicator algorithm to calculate the indicator standard of the evaluation indicator;

[0057] Collection module: real-time collection of operating data of the AGC system and AVC system in new energy stations;

[0058] Analysis module: analyzing the control performance of the AGC system and the AVC system according to the indicator standards of the evaluation indicators and the operation data of the AGC system and the AVC system collected in real time;

[0059] Display module: Display according to the analysis results.

[0060] (III) Beneficial effects

[0061] The above technical solution of the present invention has the following beneficial technical effects:

[0062] The present invention calculates the standards of corresponding indicators by combining the historical data of new energy stations with a preset indicator algorithm, which can more scientifically reflect the actual operating conditions of new energy stations and provide a solid foundation for subsequent performance analysis. According to the evaluation indicator standards calculated previously and the operating data of the AGC system and AVC system collected in real time, a comprehensive analysis of the control performance of the two is performed. By comparing the actual operating data with the standard value, it is evaluated whether the system meets the predetermined requirements and identifies possible problems or optimization space. The display content can include scores, rankings, trend charts, etc. of various evaluation indicators, which is convenient for operation and maintenance personnel to quickly understand the system performance status and make corresponding decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a schematic diagram of the overall process of an embodiment of the present invention. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0065] Obviously, the described embodiments are only some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0067] The present invention will be described in more detail below with reference to the accompanying drawings. In each of the accompanying drawings, the same elements are represented by similar reference numerals. For the sake of clarity, the various parts in the accompanying drawings are not drawn to scale.

[0068] Embodiment 1

[0069] An online analysis method for AGC / AVC control performance of new energy stations. Figure 1 FIG. 1 shows an overall flow chart of an embodiment of the present invention, as shown in FIG. Figure 1 As shown, including:

[0070] Obtain the historical data of the new energy station, and use the preset indicator algorithm to calculate the indicator standard for obtaining the evaluation indicator; extract the operating data over a long period of time from the database of the new energy station, which may include power generation, voltage fluctuation, frequency deviation, power output, ambient temperature, wind speed or solar radiation intensity (for photovoltaic power stations), etc. In this embodiment, the preset indicator algorithm includes the algorithm for each corresponding indicator, and the indicators in this embodiment include: the evaluation indicators of the AGC system include: adjustment accuracy, response time and power generation completion; the adjustment accuracy refers to the degree of deviation between the actual output power of the AGC system and the target output power. It reflects the execution accuracy and control ability of the AGC system for the power generation plan. The relative error percentage can be obtained by calculating the difference between the actual output power and the target power and dividing it by the target power. In this embodiment, the historical data of the new energy station includes the target power and actual output power adjusted by the AGC system several times; the preset indicator algorithm includes the adjustment accuracy indicator algorithm; the adjustment accuracy indicator algorithm uses the following formula to calculate the adjustment accuracy indicator standard:

[0071]

[0072] Among them, P acc Indicates the adjustment accuracy index standard; P set,i represents the target power of the ith adjustment, P out,i represents the actual output power for the ith time, and n represents the number of AGC system adjustments. The use of logarithmic functions helps reduce the impact of extreme error values ​​on the overall evaluation, making the evaluation results more balanced and accurate; high adjustment accuracy helps reduce the frequency fluctuation of the power grid and improve the power supply quality.

[0073] The response time of the AGC system refers to the time required from the AGC system receiving the adjustment command to the actual output power starting to change, reflecting the response speed and sensitivity of the system. The time difference between the time when the adjustment command is issued and the time when the system output power starts to change can be calculated by recording the time when the adjustment command is issued and the time when the system output power starts to change.

[0074] In this embodiment, the historical data of the new energy station includes the average response time of several AGC system adjustments, the time when each adjustment instruction is issued, and the time when each adjustment is actually started;

[0075] The preset indicator algorithms include response time indicator algorithm;

[0076] The response time metric algorithm calculates the response time metric using the following formula:

[0077]

[0078] Among them, T resp Represents the response time indicator standard, T cmd,i Indicates the time when the i-th adjustment instruction is issued, T start,i It represents the time when the i-th regulation actually starts, ΔT represents the average response time of n-th regulation, and n represents the number of AGC system adjustments. Through cubic operation and exponential decay, the response performance of all adjustments can be comprehensively considered to provide a comprehensive response time index, which is convenient for evaluating the overall performance of the AGC system and makes the results more stable and reliable. During analysis, a shorter response time helps to quickly respond to changes in grid load and maintain the stability of the grid.

[0079] The evaluation indicators of the AVC system include: voltage deviation, voltage fluctuation, regulation speed and AVC system stability. Voltage deviation refers to the deviation between the actual voltage and the rated voltage of the AVC system, which reflects the stability and regulation ability of the system voltage. The voltage deviation can be calculated by detecting the actual voltage value and comparing it with the rated voltage. In this embodiment, the historical data of the new energy station includes the target voltage regulated by the AVC system several times and the actual output voltage regulated by the AVC system several times; the preset indicator algorithm includes the voltage deviation indicator algorithm; the voltage deviation indicator algorithm uses the following formula to calculate the voltage deviation indicator standard:

[0080]

[0081] Among them, V dev Indicates the voltage deviation index standard, m indicates the number of AVC system adjustments, V set,j represents the target voltage for the jth adjustment, V out,j Represents the actual output voltage at the i-th time. The accuracy of voltage regulation can be quantified by calculating the voltage deviation ratio of each adjustment and squaring it. The use of the cosine function may be used to simulate the importance of voltage regulation under different time periodic change conditions. By identifying the adjustment period with large voltage deviation, the system can be optimized in a targeted manner to reduce future deviations. Small voltage deviations help protect power equipment from damage and improve power supply quality.

[0082] Voltage fluctuation refers to the degree to which the system voltage fluctuates around the average value within a certain period of time. It reflects the stability and anti-interference ability of the system voltage. Voltage fluctuation can be evaluated by calculating the standard deviation of voltage change, the difference between the maximum and minimum values, or the voltage change rate within a specific time. In this embodiment, the historical data of the new energy station includes the target voltage adjusted by the AVC system several times and the average value of the actual output voltage adjusted by the AVC system several times; the preset index algorithm includes the voltage fluctuation index algorithm; the voltage fluctuation index algorithm uses the following formula to calculate the voltage fluctuation index standard:

[0083]

[0084] Among them, V fluct Indicates the voltage fluctuation index standard, m indicates the number of AVC system adjustments, V out,j represents the jth actual output voltage, It represents the average value of the actual output voltage in m adjustments.

[0085] Regulation speed refers to the time required for the AVC system to complete voltage regulation from detecting voltage deviation to completing voltage regulation. It reflects the response speed and regulation capability of the system. The time difference between voltage deviation detection time and voltage restoration and stabilization time can be calculated by recording the time. A faster regulation speed helps to quickly restore voltage stability and reduce the impact of grid fluctuations on electrical equipment.

[0086] In this embodiment, the historical data of the new energy station includes the actual output voltage adjusted by the AVC system several times and the duration of each adjustment;

[0087] The preset indicator algorithms include an adjustment speed indicator algorithm;

[0088] The speed regulation algorithm uses the following formula to calculate the speed regulation standard:

[0089]

[0090] Among them, V fluct Indicates the adjustment speed index standard, m indicates the number of AVC system adjustments, V out,j Indicates the jth actual output voltage, V out,j-1 Indicates the actual output voltage for the j-1th time, Δt j Represents the duration of the jth adjustment. By calculating the absolute value of the voltage change between two consecutive adjustments and dividing it by the time interval, the voltage adjustment speed can be quantified. The use of the logarithmic function here is to reduce the impact of extreme values ​​and make the evaluation results more balanced.

[0091] AVC system stability refers to the ability of the system to maintain voltage stability and continue to work normally when it is subject to external interference or load changes. In this embodiment, the historical data of the new energy station includes the actual output voltage adjusted by the AVC system for several times and the target voltage adjusted by the AVC system for several times;

[0092] The preset index algorithm includes an AVC system stability index algorithm;

[0093] The AVC system stability index algorithm uses the following formula to calculate the AVC system stability index standard:

[0094]

[0095] Among them, S avc Represents the stability index standard of the AVC system, V prev,j is the voltage before the jth adjustment, V out,j Indicates the jth actual output voltage, V set,j represents the target voltage of the jth adjustment. By calculating the deviation between the voltage after each adjustment and the voltage before adjustment and comparing it with the target voltage, the stability of the AVC system can be quantified. avc The closer the value is to 1, the better the stability of the AVC system is. This indicator can be used to evaluate the overall performance of the AVC system.

[0096] Real-time collection of operating data of AGC and AVC systems in new energy stations;

[0097] The data collected here can collect corresponding data according to various indicators;

[0098] For example, the regulation accuracy of the AGC system collects the target power and actual output power regulated by the real-time AGC system; the regulation accuracy of the real-time AGC system is calculated by subtracting the difference between the target power regulated by the real-time AGC system and the actual output power and the target power regulated by the real-time AGC system.

[0099] The response time collects the time when the real-time adjustment instruction is issued and the time when the adjustment actually starts; the real-time response time is calculated by subtracting the difference between the time when the real-time adjustment instruction is issued and the time when the adjustment actually starts.

[0100] The power generation index can also be set. The power generation index standard can be set by the power generation within the time period. The time period can be set according to seasonal characteristics. In this embodiment, the corresponding power generation index standard under the real-time state can be obtained by the following calculation formula:

[0101]

[0102] Among them, E genrepresents the power generation index standard, t0 represents the initial time, T represents the total time, P rated represents the rated power of the equipment at the new energy station, η(t) represents the efficiency of the equipment at the new energy station at time t; δ(t) represents the equipment performance attenuation factor at time t; f env(t) Represents the environmental factor at time t. By considering the time variable t, the power generation efficiency in different time periods can be dynamically evaluated, which is suitable for the situation where the power generation conditions change over time. The introduction of environmental factors enables the evaluation results to reflect the impact of actual environmental conditions on power generation efficiency, increasing the practicality and accuracy of the model. The introduction of performance attenuation factors helps to monitor the performance changes of equipment; real-time power generation is obtained through statistics.

[0103] The data collected on the voltage deviation of the AVC system include the target voltage adjusted by the real-time AVC system and the actual output voltage adjusted by the real-time AVC system; the voltage deviation of the real-time AVC system is calculated by subtracting the difference between the target voltage adjusted by the real-time AVC system and the actual output voltage adjusted by the real-time AVC system and the target voltage adjusted by the real-time AVC system.

[0104] The data collected for voltage fluctuation of the AVC system includes the actual output voltage adjusted by the real-time AVC system and the actual output voltage adjusted by the last AVC system. The difference between the two is the real-time voltage fluctuation.

[0105] The data collected for the adjustment speed include the actual output voltage adjusted by the real-time AVC system, the actual output voltage adjusted by the last AVC system, and the real-time adjustment duration. The real-time adjustment speed is obtained by subtracting the difference between the actual output voltage adjusted by the real-time AVC system and the actual output voltage adjusted by the last AVC system, divided by the real-time adjustment duration.

[0106] The data collected for the stability of the AVC system include the actual output voltage regulated by the real-time AVC system and the target voltage regulated by the real-time AVC system, which are obtained by calculating the difference between the two.

[0107] According to the index standard of the evaluation index and the operating data of the AGC system and the AVC system collected in real time, the control performance of the AGC system and the AVC system is analyzed; including: using the operating data of the AGC system and the AVC system collected in real time to subtract the difference of the index standard of the evaluation index, dividing it by the index standard of the corresponding evaluation index, to obtain the score of each evaluation index.

[0108] Display based on analysis results.

[0109] The present invention calculates the standards of corresponding indicators by combining the historical data of new energy stations with a preset indicator algorithm, which can more scientifically reflect the actual operating conditions of new energy stations and provide a solid foundation for subsequent performance analysis. According to the evaluation indicator standards calculated previously and the operating data of the AGC system and AVC system collected in real time, a comprehensive analysis of the control performance of the two is performed. By comparing the actual operating data with the standard value, it is evaluated whether the system meets the predetermined requirements and identifies possible problems or optimization space. The display content can include scores, rankings, trend charts, etc. of various evaluation indicators, which is convenient for operation and maintenance personnel to quickly understand the system performance status and make corresponding decisions.

[0110] Embodiment 2

[0111] An online analysis system for AGC / AVC control performance of a new energy station, comprising:

[0112] Calculation standard module: obtain historical data of new energy stations, use the preset indicator algorithm to calculate the indicator standard of the evaluation indicator;

[0113] Collection module: real-time collection of operating data of the AGC system and AVC system in new energy stations;

[0114] Analysis module: analyzing the control performance of the AGC system and the AVC system according to the indicator standards of the evaluation indicators and the operation data of the AGC system and the AVC system collected in real time;

[0115] Display module: Display according to the analysis results.

[0116] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

[0117] The present invention has been described above with reference to the embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. The scope of the present invention is defined by the appended claims and their equivalents. Without departing from the scope of the present invention, a person skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

[0118] Although the embodiments of the present invention have been described in detail, it should be understood that the various changes, substitutions, and alterations could be made hereto without departing from the spirit and scope of the invention.

[0119] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for online analysis of AGC / AVC control performance of a new energy station, characterized in that: include: Obtain historical data of new energy stations, and use the preset indicator algorithm to calculate the indicator standards for obtaining evaluation indicators; Real-time collection of operating data of AGC and AVC systems in new energy stations; Analyze the control performance of the AGC system and the AVC system according to the indicator standards of the evaluation indicators and the operating data of the AGC system and the AVC system collected in real time; Display based on analysis results.

2. The online analysis method according to claim 1, characterized in that: The evaluation indicators of the AGC system include: adjustment accuracy and response time; The evaluation indicators of the AVC system include: voltage deviation, voltage fluctuation, regulation speed and AVC system stability.

3. The online analysis method according to claim 2, characterized in that: The historical data of the new energy station includes the target power and actual output power adjusted by the AGC system for several times; The preset index algorithm includes an adjustment accuracy index algorithm; The adjustment accuracy index algorithm uses the following formula to calculate the adjustment accuracy index standard: Among them, P acc Indicates the adjustment accuracy index standard; P set,i represents the target power of the ith adjustment, P out,i represents the actual output power for the ith time, and n represents the number of times the AGC system is adjusted.

4. The online analysis method according to claim 2, characterized in that: The historical data of the new energy station includes the average response time of several AGC system adjustments, the time when each adjustment instruction is issued, and the time when each adjustment actually starts; The preset indicator algorithm includes a response time indicator algorithm; The response time index algorithm uses the following formula to calculate the response time index standard: Among them, T resp Represents the response time indicator standard, T cmd,i Indicates the time when the i-th adjustment instruction is issued, T start,i It represents the time when the i-th adjustment actually starts, ΔT represents the average response time of n adjustments, and n represents the number of adjustments of the AGC system.

5. The online analysis method according to claim 2, characterized in that: The historical data of the new energy station includes target voltages regulated by the AVC system for several times and actual output voltages regulated by the AVC system for several times; The preset index algorithm includes a voltage deviation index algorithm; The voltage deviation index algorithm uses the following formula to calculate the voltage deviation index standard: Among them, V dev Indicates the voltage deviation index standard, m indicates the number of AVC system adjustments, V set,j represents the target voltage for the jth adjustment, V out,j Represents the actual output voltage for the ith time.

6. The online analysis method according to claim 2, characterized in that: The historical data of the new energy station includes the target voltage adjusted by the AVC system for several times and the average value of the actual output voltage adjusted by the AVC system for several times; The preset index algorithm includes a voltage fluctuation index algorithm; The voltage fluctuation index algorithm uses the following formula to calculate the voltage fluctuation index standard: Among them, V fluct Indicates the voltage fluctuation index standard, m indicates the number of AVC system adjustments, V out,j represents the jth actual output voltage, It represents the average value of the actual output voltage in m adjustments.

7. The online analysis method according to claim 2, characterized in that: The historical data of the new energy station includes the actual output voltage adjusted by the AVC system for several times and the duration of each adjustment; The preset index algorithm includes an adjustment speed index algorithm; The speed adjustment algorithm uses the following formula to calculate the speed adjustment standard: Among them, V fluct Indicates the adjustment speed index standard, m indicates the number of AVC system adjustments, V out,j Indicates the jth actual output voltage, V out,j-1 Indicates the actual output voltage for the j-1th time, Δt j represents the duration of the jth adjustment.

8. The online analysis method according to claim 2, characterized in that: The historical data of the new energy station includes actual output voltage regulated by the AVC system for several times and target voltage regulated by the AVC system for several times; The preset index algorithm includes an AVC system stability index algorithm; The AVC system stability index algorithm uses the following formula to calculate the AVC system stability index standard: Among them, S avc Represents the stability index standard of the AVC system, V prev,j is the voltage before the jth adjustment, V out,j Indicates the jth actual output voltage, V set,j Represents the target voltage of the jth adjustment.

9. The online analysis method according to claim 1, characterized in that: According to the index standards of the evaluation index and the real-time collected operation data of the AGC system and the AVC system, the control performance of the AGC system and the AVC system is analyzed, including: The difference between the index standards of the evaluation index and the difference between the real-time collected operation data of the AGC system and the AVC system is subtracted and divided by the index standards of the corresponding evaluation index to obtain the scores of each evaluation index.

10. An online analysis system for AGC / AVC control performance of a new energy station, characterized in that: include: Calculation standard module: obtain historical data of new energy stations, use the preset indicator algorithm to calculate the indicator standard of the evaluation indicator; Collection module: real-time collection of operating data of the AGC system and AVC system in new energy stations; Analysis module: analyzing the control performance of the AGC system and the AVC system according to the indicator standards of the evaluation indicators and the operation data of the AGC system and the AVC system collected in real time; Display module: Display according to the analysis results.

Citation Information

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