AGC performance evaluation method and system in approximate follow-up control operation mode

Abstract

The invention provides an AGC performance evaluation method and system in an approximate follow-up control operation mode. The method comprises the following steps: determining AGC response reference curve parameters according to an AGC performance assessment standard; obtaining a conventional unit AGC instruction historical data sequence and an actual power historical data sequence in the same sampling period; on the basis of the AGC instruction historical data sequence, the occurrence time, the instruction amplitude variation, the instruction duration and the corresponding actual power response data segment of each AGC instruction are determined; an AGC response reference curve is constructed according to the AGC instruction generation time, the instruction amplitude variation, the instruction duration and the AGC response reference curve parameters; and determining the AGC performance according to the error between the actual power response data segment and the AGC response reference curve. By constructing the AGC response reference curve and calculating the error sum, the AGC performance under approximate follow-up control is effectively evaluated, and the power dispatching efficiency and the accuracy of generator set response evaluation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of automatic power generation, and in particular relates to an AGC performance evaluation method and system in an approximate follow-up control operation mode. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the large-scale grid connection of new energy power generation such as wind power and photovoltaic power generation and the increasing changes in power grid load, the smooth operation of the power grid faces severe challenges. On the one hand, due to the intermittent, volatile and periodic characteristics of new energy power generation, there is uncertainty in the output of new energy power generation; on the other hand, user power demand is affected by ambient temperature, seasonal changes, production cycle, etc., making the time-varying, uncertain, volatile and spatial distribution of power grid load increasingly significant. At present, in order to cope with the above two challenges and ensure the smooth operation of the power grid, conventional power generating units such as thermal power generating units need to adjust their output to make up for the power shortage of the power grid caused by changes in new energy power generation and user demand. The main way for conventional power generating units to adjust their output is automatic generation control (AGC).

[0004] During the operation of the power grid, the dispatch center calculates the output adjustment of each grid-connected conventional unit based on the real-time power difference of the current power grid and sends it to each grid-connected conventional unit through AGC instructions. Each unit adjusts its output in time according to the AGC instructions to meet the power demand of the power grid and maintain the smooth operation of the power grid. Therefore, it is of great significance for the smooth operation of the power grid for the grid-connected conventional unit to have good AGC performance.

[0005] Due to the influence of renewable energy generation and changes in user electricity demand, the number of AGC instructions sent by the power grid dispatching center has shown a trend of doubling year by year, and the amplitude change of the AGC instructions and the interval time between two AGC instructions show obvious randomness, which has led to the gradual evolution of AGC from the previous set-point control to approximate follow-up control. Approximate follow-up control means that the AGC system needs to quickly and flexibly adjust the output of the generator set according to the real-time changing power grid status and user electricity demand to maintain the frequency and power balance of the power grid.

[0006] These changes in AGC instructions make the AGC response process of conventional units present the characteristics of small amplitude and short cycle. These characteristics of the AGC response process result in the response process data being insufficient to fully reflect the dynamic characteristics of the unit, and also make it difficult to effectively apply traditional AGC performance evaluation methods such as system identification and sample point estimation. Therefore, an AGC performance evaluation method under the approximate follow-up control operation mode is proposed to promote conventional units to have good AGC performance in the long term, which is of great significance for the smooth operation of the power grid under the current situation. Summary of the invention

[0007] In order to solve the above problems, the present invention proposes an AGC performance evaluation method and system under the approximate follow-up control operation mode. By constructing an AGC response reference curve and comprehensive AGC performance indicators, etc., AGC performance evaluation can be achieved under situations such as small AGC instruction amplitude and short interval, thereby solving the problem that the existing AGC performance evaluation method is not suitable for AGC performance evaluation under the approximate follow-up control operation mode of conventional units.

[0008] In order to achieve the above object, the present invention adopts the following technical solution:

[0009] In a first aspect, the present invention provides an AGC performance evaluation method in an approximate follow-up control operation mode, comprising:

[0010] Determine the AGC response reference curve parameters according to the AGC performance assessment standards for conventional units;

[0011] Using a fixed sampling period, the historical data series of AGC instructions and the historical data series of actual power generation of conventional units are obtained;

[0012] Based on the AGC command historical data sequence, determine the occurrence time of each AGC command, the amplitude change of the AGC command, the command duration and the corresponding actual power response data segment;

[0013] Constructing an AGC response reference curve according to the AGC command generation time, command amplitude change, command duration and AGC response reference curve parameters;

[0014] The error sum between the actual power response data segment and the AGC response reference curve is calculated, and the AGC performance is determined by the weighted sum of the accumulated error sum and the proportion of the ideal positive and negative error areas.

[0015] Preferably, determining the AGC response reference curve parameters according to the conventional unit AGC performance assessment standard specifically includes:

[0016] According to the installed capacity of conventional units, the minimum required values ​​of response time, regulation rate and regulation accuracy in the AGC performance assessment standard are determined, and the minimum required values ​​are used as the AGC response reference curve parameters of the unit.

[0017] Preferably, the determining of the occurrence time of each AGC instruction, the amplitude change of the AGC instruction, the instruction duration and the corresponding actual power response data segment based on the AGC instruction historical data sequence specifically includes:

[0018] A non-parametric step change detection method is used to detect step changes in the AGC instruction historical data sequence, and each step change is regarded as an AGC instruction, and the time when the step change occurs is regarded as the time when the AGC instruction occurs;

[0019] According to the occurrence time of two adjacent AGC instructions, an AGC instruction data segment is obtained; based on the AGC instruction data segment, a change in instruction amplitude and an instruction duration are calculated;

[0020] According to the occurrence times of two adjacent AGC commands, the actual power historical data sequence is segmented to obtain the actual power response data segments.

[0021] Preferably, the non-parametric step change detection method specifically includes:

[0022] Calculate a statistic based on the AGC instruction historical data sequence, the statistic being constructed based on the sgn function and used to determine the direction of the step change;

[0023] Based on the possibility of a step change, the probability value is used to screen the step change points of the statistic.

[0024] Preferably, constructing an AGC response reference curve according to the AGC instruction generation time, instruction amplitude change, instruction duration and AGC response reference curve parameters is specifically: constructing an AGC response reference curve according to the AGC instruction data segment, instruction amplitude change and AGC response reference curve parameters.

[0025] Preferably, in addition to constructing the AGC response reference curve, it also includes constructing an ideal response curve of the actual power of the unit, specifically: constructing the ideal response curve of the actual power of the unit according to the AGC instruction generation time, instruction amplitude change and instruction duration.

[0026] Preferably, the calculation of the error sum between the actual power response data segment and the AGC response reference curve and the determination of the AGC performance by weighted sum of the accumulated error sum and the proportion of the ideal positive and negative error regions, specifically includes:

[0027]

[0028] Among them, Y d , Y r , Y IE,max , G IE and G IE,max The calculation formulas are:

[0029] Y d =Σ(y(n)-f(n)), if and only if y(n)≥f(n)

[0030] Y r =Σ(y(n)-y k,0 (n)), if and only if y(n)≥y k,0 (n)

[0031] Y IE,max =∑(y0(n)-f(n))

[0032] G IE =∑|y(n)-f(n)|, if and only if

[0033]

[0034] Among them, Y d Y is the cumulative sum of the actual power response data segment exceeding the AGC response reference curve. r Y is the cumulative sum of the positive errors between the actual power response data segment and the ideal response curve of the actual power of the unit. IE,max G is the cumulative sum of the errors between the ideal response curve of the actual power of the unit and the AGC response reference curve when the two curves are greater. IE G is the cumulative sum of the absolute values ​​of the negative errors between the actual power response data segment and the AGC response reference curve when the two are smaller. IE,max is the cumulative sum of the absolute values ​​of the errors between the actual power response data segment and the AGC response reference curve when there is no response at all, λ is the weighting coefficient; f(n) represents the AGC response reference curve, y0(n) represents the ideal response curve of the actual power of the unit, y(n) represents the actual power response data segment, It is the average value of the AGC instruction data segment.

[0035] In a second aspect, the present invention provides an AGC performance evaluation system in an approximate follow-up control operation mode, comprising:

[0036] A parameter acquisition module is used to determine the AGC response reference curve parameters according to the conventional unit AGC performance assessment standard;

[0037] A sequence acquisition module is used to acquire the AGC instruction historical data sequence and the actual power historical data sequence of the conventional unit using a fixed sampling period;

[0038] A response data acquisition module, used to determine the occurrence time of each AGC instruction, the amplitude change of the AGC instruction, the instruction duration and the corresponding actual power response data segment based on the AGC instruction historical data sequence;

[0039] A reference curve construction module is used to construct an AGC response reference curve according to the AGC command generation time, the command amplitude change, the command duration and the AGC response reference curve parameters;

[0040] The performance evaluation module is used to calculate the error sum between the actual power response data segment and the AGC response reference curve, and determine the AGC performance by the weighted sum of the accumulated error sum and the proportion of the ideal positive and negative error areas.

[0041] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the AGC performance evaluation method in an approximate follow-up control operation mode described in the first aspect.

[0042] In a fourth aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the AGC performance evaluation method in an approximate follow-up control operation mode described in the first aspect are implemented.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] (1) The present invention provides an AGC performance evaluation method and system under an approximate follow-up control operation mode. The scheme solves the problem that the existing method is not suitable for AGC performance evaluation under an approximate follow-up control mode of a conventional unit. Compared with the existing method, the AGC performance evaluation method of the present invention can effectively overcome the performance evaluation difficulties caused by the characteristics of the AGC instruction with small change amplitude and short duration.

[0045] (2) The AGC performance index proposed in the present invention is an effective combination of existing performance indicators such as response time, regulation rate, and regulation accuracy, which is conducive to the understanding and verification of performance evaluation results by production operators.

[0046] (3) The AGC performance index method described in the present invention has significant advantages such as less parameter dependence and simple implementation, which has positive significance for the promotion and application of the present invention.

[0047] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their description are used to explain the present invention but do not constitute a limitation of the present invention.

[0049] Figure 1 A main flow chart of AGC performance evaluation in an approximate follow-up control operation mode provided by an embodiment of the present invention;

[0050] Figure 2 A detailed flow chart of AGC performance evaluation in an approximate follow-up control operation mode provided by an embodiment of the present invention;

[0051] Figure 3 The AGC instruction data sequence, the actual power data sequence, the AGC instruction data segment and the actual power data segment provided by the embodiment of the present invention;

[0052] Figure 4 The performance evaluation results of the four AGC response processes provided by the embodiment of the present invention;

[0053] Figure 5 The performance evaluation results of the three AGC response processes provided in the embodiment of the present invention are shown. DETAILED DESCRIPTION

[0054] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0055] Embodiment 1

[0056] like Figure 1 As shown, this embodiment discloses an AGC performance evaluation method in an approximate follow-up control operation mode, comprising the following steps:

[0057] S1: Determine the AGC response reference curve parameters according to the AGC performance assessment standards for conventional units.

[0058] Specifically: according to the installed capacity of conventional units, determine the minimum required values ​​of response time, regulation rate, and regulation accuracy in the existing AGC performance assessment standards, that is, the minimum response time requirement n0, the minimum regulation rate requirement k0, and the minimum regulation accuracy requirement Δ0, and use these minimum requirement values ​​as the AGC response reference curve parameters of the unit.

[0059] S2: Use a fixed sampling period to obtain the AGC command historical data sequence and the actual power historical data sequence of the conventional units.

[0060] Specifically, based on the same sampling period and start and end time, the conventional unit AGC command historical data sequence is obtained The actual power historical data series

[0061] S3: Based on the AGC command historical data sequence, determine the occurrence time of each AGC command, the amplitude change of the AGC command, the command duration and the corresponding actual power response data segment.

[0062] Specifically, a non-parametric step change detection method is used to perform step change detection on the AGC instruction historical data sequence, and each step change is regarded as an AGC instruction; the moment when the step change occurs is regarded as the moment when the AGC instruction occurs.

[0063] The non-parametric step change detection method is to use the statistic U n,N The corresponding maximum probability value is used to determine the step change point, and the step change point is used as the time when the AGC instruction occurs.

[0064] The statistic U n,N AGC instruction historical data sequence The statistic is used to detect the step change points in the data sequence. By calculating the cumulative sum of the relative size relationship between different sample points, the position where the step change may occur in the data sequence is determined.

[0065] Specifically, initialize the step change point set for Calculate the initial statistic U n,N for

[0066]

[0067] in, It is used to calculate the cumulative sum of the sign differences between the sample points u(n) and u(k), where u(n) and u(k) are the AGC instruction history data sequences. The nth and kth sample points in , N is the length of the AGC instruction history data sequence obtained, sgn(·) is the sign function, that is:

[0068]

[0069] U n,N The corresponding probability value P(n) is:

[0070]

[0071] For AGC instruction historical data sequence Its step change point satisfy:

[0072]

[0073] In the above formula, α is the probability of the first type of error, which can be set by those skilled in the art according to actual conditions.

[0074] When getting After the first step change point n1 in the Divided into and Two sub-data segments, and then calculate their statistical sequence according to the above steps respectively Find out and If there is a new step change point in the initialization step change point set, the step change point will be incorporated into the initialization step change point set. middle.

[0075] Repeat the above steps until you get For the convenience of expression, all AGC instruction occurrence times are rearranged according to their corresponding sample ordinal numbers, and assuming that a total of K AGC instruction occurrence times are obtained, the AGC instruction occurrence time set can be expressed as

[0076] According to the determined set of step change points The number of samples of the step change point in the AGC instruction history data sequence And the actual power historical data series The AGC instruction data segments are obtained by segmenting them respectively, and the amplitude change of the AGC instruction is determined according to the difference between the powers required to be achieved by the two adjacent AGC instructions; the data segment of the actual power generated by the unit between the two step change moments is obtained according to the occurrence moments of the two adjacent AGC instructions.

[0077] The AGC command amplitude change is calculated as follows:

[0078]

[0079] in, Indicates the time when three adjacent AGC instructions occur.

[0080] Furthermore, the duration of the AGC instruction is calculated as follows:

[0081]

[0082] in, It is the time when two adjacent AGC instructions occur.

[0083] S4: constructing an AGC response reference curve according to the AGC command generation time, the command amplitude change, the command duration and the AGC response reference curve parameters.

[0084] The determination of the response reference curve f of each AGC instruction data segment k (n), specifically: constructing an AGC response reference curve according to the AGC command data segment, the command amplitude change and the AGC response reference curve parameters.

[0085] Wherein, the AGC response reference curve f k (n) is:

[0086]

[0087] In the formula, The time when the AGC instruction is generated and The average value of the determined AGC command data segment, Δ u,k is the amplitude change of the kth AGC instruction determined by formula (5), n0 is the minimum response time requirement in the assessment standard, k0 is the minimum adjustment rate requirement in the assessment standard, Δ0 is the minimum adjustment accuracy requirement in the assessment standard, Δ u,k +Δ0 represents the steady-state value.

[0088] In addition, it is necessary to construct the ideal response curve y of the actual power of the unit k,0 (n).

[0089] Specifically: according to the step change time of the kth AGC instruction Amplitude change Δ u,k and duration Construct an ideal step curve as the ideal response curve y of the evaluated unit for the current AGC response process k,0 (n).

[0090]

[0091] S5: Calculate the error sum between the actual power response data segment and the AGC response reference curve, and determine the AGC performance by weighted sum of the proportion of the accumulated error sum to the ideal positive and negative error area areas.

[0092] After obtaining the AGC response reference curve f k (n) and the ideal response curve y k,0 (n) After that, the actual power data segment of the unit corresponding to the AGC instruction is compared with the ideal response curve y k,0 The difference between the positive error and the negative error is used as the basis, and the cumulative error sum is calculated according to the positive error and the negative error respectively. The weighted sum of the positive and negative cumulative error sums and the proportion of the ideal positive and negative error area areas is used as the evaluation standard for AGC performance. The ideal positive and negative error area areas are determined by the AGC response reference curve f k (n) and the ideal response curve y k,0(n) Determine.

[0093] Specifically, according to the amplitude Δ of each AGC instruction u,k and AGC response reference curve parameters n0, k0 and Δ u,k +Δ0 determines the AGC response reference curve and the ideal response curve y for each AGC command response process k,0 (n), and then calculate the actual power response data segment The error from its AGC response reference curve is used to determine the AGC performance by weighting the accumulated error with the ratio of the ideal positive and negative error areas.

[0094] The comprehensive AGC performance index used for the AGC performance evaluation is:

[0095]

[0096] Among them, Y d Y is the cumulative sum of the actual power exceeding the AGC response reference curve. r Y is the cumulative sum of the positive errors between the actual power curve and the actual power response curve under ideal conditions. IE,max G is the cumulative sum of the errors between the actual transmission power and the AGC response reference curve under ideal conditions. IE G is the cumulative sum of the absolute values ​​of the negative errors between the actual transmission power and the AGC response reference curve when the actual transmission power is less than the AGC response reference curve. IE,max It is the cumulative sum of the absolute values ​​of the errors between the actual power and the AGC response reference curve when there is no response at all, and λ is the weighting coefficient. d , Y r , Y IE,max , G IE and G IE,max The calculation formulas are:

[0097] Y d =∑(y(n)-f k (n)), if and only if y(n) ≥ f k (n) (10)

[0098] Y r =∑(y(n)-y k,0 (n)), if and only if y(n) ≥ y k,0 (n) (11)

[0099] Y IE,max =Σ(y k,0 (n)-f k (n)) (12)

[0100] G IE =∑|y(n)-fk (n)|, if and only if

[0101]

[0102] Among them, y(n) represents the actual power data of the unit corresponding to the current AGC instruction, f k (n) represents the AGC response reference curve, y k，0 (n) represents the actual power response curve of the unit under ideal conditions.

[0103] This method can effectively overcome the defects of existing AGC performance evaluation methods such as system identification and sample point estimation that are difficult to apply to AGC response processes with small change amplitudes and short adjustment cycles, and effectively integrates the AGC performance index assessment standards, which is of great significance to the unit AGC performance evaluation under the current situation.

[0104] This embodiment obtains the step change moment by analyzing each AGC instruction data segment. And according to the AGC command amplitude change Δ u,k and duration and, determine the ideal response curve y k,0 (n); then determine the reference response curve f of the AGC command data segment according to the unit's assessment indicators k (n); Finally, the comprehensive performance evaluation index J(k) is calculated for each actual power data segment, and the value of the comprehensive performance index J(k) is used as the performance evaluation result of each AGC. This performance evaluation result can objectively and accurately reflect the AGC performance and provide strong support for optimizing unit operation and improving grid stability.

[0105] In order to prove the effectiveness of the solution described in this embodiment, the following relevant experimental verification is carried out in combination with specific embodiments:

[0106] This embodiment takes the automatic power generation control performance evaluation of a 300MW thermal power unit as an example to illustrate the specific effect of the method described in this embodiment in practical application.

[0107] According to the installed capacity of the unit, the minimum response time of the unit is n0 = 6 seconds, the minimum regulation rate is k0 = 4.5WM / min, and the regulation accuracy is Δ0 = 0MW. The data of the AGC command and the actual power measurement point of the unit are collected for 150 seconds with a sampling period of 1 second. The data obtained are as follows Figure 3 As shown, the AGC instruction data is The actual power data is

[0108] Taking the first type error probability α = 0.05, according to equations (1)-(4) we get There are 4 step change points in Figure 3 The vertical dotted line marks the step change point set obtained as Then, the AGC instruction data segments are determined according to these segmentation points, and 4 AGC instruction data segments are obtained, such as Figure 4 neutron Figure 1 -(a) to 4-(a).

[0109] According to formula (18), the amplitude changes of the four AGC instructions are Δ u,1 =2.9599, Δ u,2 =1.2105, Δ u,3 =3.0734, Δ u,4 =3.0396, according to formula (6), the duration corresponding to each AGC instruction is T u,1 =37, T u,2 =20, T u,3 =43, T u,4 =52; by Δ u,k and T u,k =52, according to formula (8), the ideal step curve y in each AGC response process is determined k，0 (n); AGC command amplitude change Δ u,k is the step change, and the ideal response curve f is determined for each AGC response process according to formula (7): k (n), such as Figure 4 neutron Figure 1 -(b) to 4-(b) as shown by the green solid line. In the process of each AGC response, the actual power data segment is used to determine Y d , Y r , Y IE,max , G IE and G IE,max Based on the weight coefficient λ=0.6, the performance evaluation results of each AGC instruction are obtained according to formula (9), namely J(1)=0.3143, J(2)=0.1690, J(3)=0.5429, and J(4)=0.3459. Figure 4 neutron Figure 1 -(a) to 4-(a) show that the actual power in these four sets of data shows poor tracking performance and large fluctuation deviation, which leads to poor performance evaluation results of these four sets of AGC response processes. Figure 5 neutron Figure 1 -(b) to 3-(b) show three groups of AGC response process performance evaluation results. These three groups of AGC response processes all have good performance evaluation results. Figure 5 neutron Figure 1-(a) to 3-(a) show that the performance evaluation results are basically consistent with the analysis results.

[0110] The AGC performance evaluation method under the approximate follow-up control operation mode proposed in this embodiment can solve the problem that the existing AGC performance evaluation method is not applicable under the approximate follow-up control operation mode of conventional units, effectively deal with the situation of small amplitude and short interval of AGC instructions, and provide a feasible solution for the AGC performance evaluation of conventional units. Among them, by determining the response reference curve parameters according to the AGC performance assessment standards of conventional units, the evaluation is more in line with the actual requirements of the unit. A fixed sampling period is used to obtain the data sequence, and the non-parametric step change detection method is used to accurately determine the information related to the AGC instruction and construct the response reference curve and the ideal response curve of the actual power generation. The error sum between the actual power generation and the reference curve is calculated to determine the performance. It can more accurately evaluate the AGC performance of the unit, which is helpful to promote conventional units to maintain good AGC performance for a long time, thereby ensuring the smooth operation of the power grid under the current situation and improving the stability and reliability of the power system.

[0111] Embodiment 2

[0112] This embodiment provides an AGC performance evaluation system in an approximate follow-up control operation mode, including:

[0113] A parameter acquisition module is used to determine the AGC response reference curve parameters according to the conventional unit AGC performance assessment standard;

[0114] A sequence acquisition module is used to acquire the AGC instruction historical data sequence and the actual power historical data sequence of the conventional unit using a fixed sampling period;

[0115] A response data acquisition module, used to determine the occurrence time of each AGC instruction, the amplitude change of the AGC instruction, the instruction duration and the corresponding actual power response data segment based on the AGC instruction historical data sequence;

[0116] A reference curve construction module is used to construct an AGC response reference curve according to the AGC command generation time, the command amplitude change, the command duration and the AGC response reference curve parameters;

[0117] The performance evaluation module is used to calculate the error sum between the actual power response data segment and the AGC response reference curve, and determine the AGC performance by the weighted sum of the accumulated error sum and the proportion of the ideal positive and negative error areas.

[0118] Embodiment 3

[0119] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the AGC performance evaluation method in the approximate follow-up control operation mode described in the first embodiment are implemented.

[0120] Embodiment 4

[0121] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of the AGC performance evaluation method in the approximate follow-up control operation mode described in the first embodiment are implemented.

[0122] The steps or modules involved in the above embodiments 2 to 4 correspond to those in embodiment 1. For the specific implementation, please refer to the relevant description of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0123] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for evaluating AGC performance in approximate follow-up control operation mode, characterized in that: include: Determine the AGC response reference curve parameters according to the AGC performance assessment standards for conventional units; Using a fixed sampling period, the historical data series of AGC instructions and the historical data series of actual power generation of conventional units are obtained; Based on the AGC command historical data sequence, determine the occurrence time of each AGC command, the amplitude change of the AGC command, the command duration and the corresponding actual power response data segment; Constructing an AGC response reference curve according to the AGC command generation time, command amplitude change, command duration and AGC response reference curve parameters; The error sum between the actual power response data segment and the AGC response reference curve is calculated, and the AGC performance is determined by the weighted sum of the accumulated error sum and the proportion of the ideal positive and negative error areas.

2. The AGC performance evaluation method in the approximate follow-up control operation mode according to claim 1, characterized in that: Determining the AGC response reference curve parameters according to the conventional unit AGC performance assessment standard specifically includes: According to the installed capacity of conventional units, the minimum required values ​​of response time, regulation rate and regulation accuracy in the AGC performance assessment standard are determined, and the minimum required values ​​are used as the AGC response reference curve parameters of the unit.

3. The AGC performance evaluation method in the approximate follow-up control operation mode according to claim 1, characterized in that: The determining, based on the AGC command historical data sequence, the occurrence time of each AGC command, the amplitude change of the AGC command, the command duration and the corresponding actual power response data segment, specifically includes: A non-parametric step change detection method is used to detect step changes in the AGC instruction historical data sequence, and each step change is regarded as an AGC instruction, and the time when the step change occurs is regarded as the time when the AGC instruction occurs; According to the occurrence time of two adjacent AGC instructions, an AGC instruction data segment is obtained; based on the AGC instruction data segment, a change in instruction amplitude and instruction duration are calculated; According to the occurrence times of two adjacent AGC commands, the actual power historical data sequence is segmented to obtain the actual power response data segments.

4. The AGC performance evaluation method in the approximate follow-up control operation mode according to claim 3, characterized in that: The non-parametric step change detection method specifically includes: Calculate a statistic based on the AGC instruction historical data sequence, the statistic being constructed based on the sgn function and used to determine the direction of the step change; Based on the possibility of a step change, the probability value is used to screen the step change points of the statistic.

5. The AGC performance evaluation method in the approximate follow-up control operation mode according to claim 1, characterized in that: The AGC response reference curve is constructed according to the AGC instruction generation time, instruction amplitude change, instruction duration and AGC response reference curve parameters, specifically: the AGC response reference curve is constructed according to the AGC instruction data segment, instruction amplitude change and AGC response reference curve parameters.

6. The AGC performance evaluation method in the approximate follow-up control operation mode according to claim 1, characterized in that: In addition to constructing the AGC response reference curve, it also includes constructing the ideal response curve of the unit's actual power generation, specifically: constructing the ideal response curve of the unit's actual power generation according to the AGC command generation time, command amplitude change and command duration.

7. The AGC performance evaluation method in the approximate follow-up control operation mode according to claim 6, characterized in that: The calculation of the error sum between the actual power response data segment and the AGC response reference curve and the weighted sum of the accumulated error sum and the ideal positive and negative error area ratios to determine the AGC performance specifically include: Among them, Y d , Y r , Y IE,max , G IE and G IE,max The calculation formulas are: Y d =∑(y(n)-f(n)), if and only if y(n)≥f(n) Y r =Σ(y(n)-y k,0 (n)), if and only if y(n)≥y k,0 (n) Y IE,max =Σ(y0(n)-f(n)) G IE =Σ|y(n)-f(n)|, if and only if Among them, Y d Y is the cumulative sum of the actual power response data segment exceeding the AGC response reference curve. r Y is the cumulative sum of the positive errors between the actual power response data segment and the ideal response curve of the actual power of the unit. IE,max G is the cumulative sum of the errors between the ideal response curve of the actual power of the unit and the AGC response reference curve when the two curves are greater. IE G is the cumulative sum of the absolute values ​​of the negative errors between the actual power response data segment and the AGC response reference curve when the two are smaller. IE,max is the cumulative sum of the absolute values ​​of the errors between the actual power response data segment and the AGC response reference curve when there is no response at all, λ is the weighting coefficient; f(n) represents the AGC response reference curve, y0(n) represents the ideal response curve of the actual power of the unit, y(n) represents the actual power response data segment, It is the average value of the AGC instruction data segment.

8. An AGC performance evaluation system in approximate follow-up control operation mode, characterized in that: include: A parameter acquisition module is used to determine the AGC response reference curve parameters according to the conventional unit AGC performance assessment standard; A sequence acquisition module is used to acquire the AGC instruction historical data sequence and the actual power historical data sequence of the conventional unit using a fixed sampling period; A response data acquisition module, used to determine the occurrence time of each AGC instruction, the amplitude change of the AGC instruction, the instruction duration and the corresponding actual power response data segment based on the AGC instruction historical data sequence; A reference curve construction module is used to construct an AGC response reference curve according to the AGC command generation time, the command amplitude change, the command duration and the AGC response reference curve parameters; The performance evaluation module is used to calculate the error sum between the actual power response data segment and the AGC response reference curve, and determine the AGC performance by the weighted sum of the accumulated error sum and the proportion of the ideal positive and negative error areas.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the AGC performance evaluation method in an approximate follow-up control operation mode as described in any one of claims 1-7 are implemented.

10. An electronic 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 program, the steps of the AGC performance evaluation method in the approximate follow-up control operation mode as described in any one of claims 1-7 are implemented.

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