Primary frequency modulation performance evaluation method and system based on weighted contribution electric quantity

Abstract

The invention belongs to the technical field of automatic power generation, and provides a primary frequency modulation performance evaluation method and system based on weighted contribution electric quantity. The method comprises the following steps: calculating an adjustment amount corresponding to theoretical output of a unit at each sampling moment within a frequency modulation duration, and calculating a weighted theoretical contribution electric quantity of the unit in a primary frequency modulation process in combination with a pre-constructed weighting coefficient vector; calculating the weighted actual contribution electric quantity in the primary frequency modulation process of the unit according to the weighted summation of the unit actual power data segment corresponding to each frequency abnormal data segment and a pre-constructed weighting coefficient vector; and evaluating the primary frequency modulation performance of the unit according to the ratio of the weighted actual contribution electric quantity to the weighted theoretical contribution electric quantity in the primary frequency modulation process of the unit. The method can overcome the problems of unreasonable evaluation result, easy noise interference and the like in the existing method, can effectively reflect the output expectation characteristic of the power grid to the primary frequency modulation process of the unit, is easy to understand and verify the evaluation result, and has the remarkable advantages of simplicity and convenience in implementation and the like.

Description

Technical Field

[0001] The present invention belongs to the technical field of automatic power generation, and in particular relates to a primary frequency regulation performance evaluation method and system based on weighted contribution electricity. 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] Renewable energy generation has the characteristics of intermittent, periodic, and random. Its large-scale grid connection has impacted the smooth operation of the power grid and brought severe challenges to the frequency stability of the power grid. Using the flexible and rapid output adjustment capabilities of conventional power sources such as thermal power generating units to maintain the stable operation of the power grid has become an important means to maintain the operation of the power system and promote the consumption of renewable energy generation. The primary frequency control (PFC) of conventional power sources such as grid-connected thermal power generating units is an important means to ensure the real-time balance of power grid power and maintain the stability of grid frequency. When conventional units such as thermal power detect that the grid frequency exceeds the frequency dead zone, conventional power sources such as thermal power generating units adjust their own power output through CCS (coordinated control system) and DEH (digital electro-hydraulic control system) to make up for the real-time active power shortage of the grid, restore the real-time power balance of the grid, and maintain the stability of the grid frequency. At present, conventional units connected to the grid must have a primary frequency regulation function, and the primary frequency regulation start / stop signals are all connected to the power dispatching agency to which they belong. The performance indicators such as the primary frequency regulation dead zone of conventional units, the speed change rate of the speed regulation system, the maximum adjustment load limit of the primary frequency regulation, the delay rate of the speed regulation system, the response speed, etc. must all meet the technical management requirements of primary frequency regulation.

[0004] Since primary frequency regulation can achieve unit output adjustment in a short time and has good rapidity, the primary frequency regulation performance of conventional power sources such as thermal power generating units plays a vital role in power quality and stable operation of the power grid. The existing primary frequency regulation assessment indicators mainly include 15-second output response index, 30-second output response index, power contribution index, etc. Although these performance indicators are clearly defined, they cannot continuously and effectively characterize the power grid's expectations for the output characteristics of conventional power sources such as thermal power generating units. In addition, due to the characteristics of short response process and strong data noise in the primary frequency regulation process, the maximum frequency deviation involved in the calculation of these assessment indicators has problems such as inaccurate estimation, which further causes a large deviation in the frequency regulation assessment indicators, seriously affecting the effectiveness and rationality of the primary frequency regulation performance assessment, restricting the enthusiasm and initiative of power generation units to participate in primary frequency regulation, and bringing potential risks to the stability of power grid frequency. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a primary frequency regulation performance evaluation method and system based on weighted contribution power, which can realize reasonable evaluation of the primary frequency regulation performance of conventional power sources such as thermal power generating sets, and is of great significance for ensuring the smooth operation of the power grid under the situation of large-scale grid connection of new energy power generation.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A first aspect of the present invention provides a method for evaluating primary frequency regulation performance based on weighted contribution power.

[0007] In one or more embodiments, a method for evaluating primary frequency regulation performance based on weighted contribution power is provided, including: Obtain the actual power data sequence of the unit and the grid frequency data sequence of a fixed sampling period and perform filtering on both; According to the filtered power grid frequency data sequence, the frequency abnormality data segment is identified, and then according to the unit actual power data sequence, the unit actual power data segment corresponding to each frequency abnormality data segment is determined; According to the frequency deviation, unit speed inequality and unit rated power of each frequency abnormality data segment, the adjustment amount corresponding to the theoretical output of the computer unit at each sampling time during the frequency modulation duration is calculated, and then combined with the pre-constructed weighting coefficient vector, the weighted theoretical contribution power of the computer unit in a frequency modulation process is calculated; According to the weighted sum of the actual power data segment of the unit corresponding to each frequency abnormality data segment and the pre-built weighted coefficient vector, the weighted actual contribution power of the computer unit in the primary frequency modulation process is calculated; The primary frequency regulation performance of the unit is evaluated according to the ratio of the weighted actual contribution power to the weighted theoretical contribution power during the primary frequency regulation process of the unit; wherein the weighted coefficient vector is a probability density vector that obeys the discrete log-normal distribution and is constructed according to the characteristics of the power grid's expected unit output adjustment process.

[0008] As an implementation method, the process of identifying frequency abnormality data segments is: by comparing whether the filtered grid frequency data segments exceed the grid frequency dead zone, determining whether the grid frequency is abnormal.

[0009] As an implementation method, the weighted theoretical contribution of the unit in the primary frequency modulation process is set to , whose expression is:

[0010]

[0011]

[0012] in, Indicates the adjustment amount corresponding to the theoretical output of the unit at each sampling moment within the frequency modulation duration; is the power frequency of the power grid, is the unit speed inequality rate, is the rated power of the unit, For the The frequency deviation at each sampling moment in the frequency anomaly data segment, and Respectively The starting time and length of each frequency anomaly data segment; is a pre-constructed weight coefficient vector; is the filtered grid frequency data sequence The filtered grid frequency data value in; N represents the sampling time; .

[0013] As an implementation method, the weighted actual contribution power of the unit during the primary frequency regulation process is set to , whose expression is: ; in, ; The unit actual power data segment corresponding to the frequency abnormality data segment is , and Respectively The starting time and length of a frequency anomaly data segment.

[0014] As an implementation method, when the ratio of the weighted actual contribution power to the weighted theoretical contribution power in the primary frequency regulation process of the unit is closer to 100%, the performance in the primary regulation process is better. On the contrary, when the ratio is close to zero, it means that the performance of the unit in the primary frequency regulation process is poor.

[0015] As an implementation method, the primary frequency modulation performance index for:

[0016] in, It is the weighted actual contribution of electricity in the primary frequency regulation process of the unit; It is the weighted theoretical contribution of electricity of the unit in the primary frequency regulation process.

[0017] As an implementation method, the weighted coefficient vector is constructed by constructing a set of discrete log-normal distribution function probability density vectors, and using the value of the elements in the vector to measure the importance of the output adjustment of the unit at different times during a frequency regulation process; wherein the discrete log-normal distribution probability density vector Elements in for:

[0018] in, and are the element number and length of the discrete lognormal distribution probability density vector, respectively. and The mean and variance of the normal distribution corresponding to the lognormal distribution function respectively.

[0019] A second aspect of the present invention provides a primary frequency regulation performance evaluation system based on weighted contribution power.

[0020] In one or more embodiments, a primary frequency regulation performance evaluation system based on weighted contribution power includes: A data sequence acquisition module is used to acquire the actual power data sequence of the unit and the grid frequency data sequence of a fixed sampling period and perform filtering on both; The frequency abnormality data segment identification module is used to identify the frequency abnormality data segment according to the filtered power grid frequency data sequence, and then determine the unit actual power data segment corresponding to each frequency abnormality data segment according to the unit actual power data sequence; The weighted theoretical contribution power calculation module is used to calculate the weighted theoretical contribution power of the computer group in a frequency modulation process according to the frequency deviation of each frequency abnormality data segment, the speed inequality rate of the unit and the rated power of the unit, and then combine the pre-constructed weighted coefficient vector to calculate the weighted theoretical contribution power of the computer group in a frequency modulation process; The weighted actual contribution power calculation module is used to calculate the weighted actual contribution power of the computer group during the primary frequency modulation process by weighted summing the actual power data segments of the unit corresponding to each frequency abnormality data segment and the pre-built weighting coefficient vector; The primary frequency regulation performance evaluation module is used to evaluate the primary frequency regulation performance of the unit according to the ratio of the weighted actual contribution power to the weighted theoretical contribution power during the primary frequency regulation process of the unit; wherein the weighted coefficient vector is a probability density vector that obeys the discrete log-normal distribution and is constructed according to the characteristics of the power grid's expected unit output adjustment process.

[0021] A third aspect of the present invention provides a computer-readable storage medium.

[0022] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the primary frequency regulation performance evaluation method based on weighted contribution power as described above.

[0023] A fourth aspect of the present invention provides an electronic device.

[0024] An electronic device comprises 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 in the primary frequency modulation performance evaluation method based on weighted contribution power as described above are implemented.

[0025] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention provides a method and system for evaluating the performance of primary frequency regulation based on weighted contribution power. The scheme overcomes the problems of unreasonable evaluation results and susceptibility to noise interference in existing primary frequency regulation performance evaluation methods. Compared with existing methods, the primary frequency regulation performance evaluation method of the present invention can effectively reflect the expected output characteristics of the power grid for the primary frequency regulation process of the unit.

[0026] (2) The primary frequency regulation performance evaluation method proposed in the present invention is a deep integration of the existing primary frequency regulation performance evaluation indicators such as 15-second output response index, 30-second output response index, and power contribution index, which is conducive to the understanding and verification of the performance evaluation results by production operators and technical supervisors.

[0027] (3) The primary frequency regulation performance evaluation method of the present invention can select dependent parameters in the evaluation process according to the unit type, and has significant advantages such as simple implementation, which has positive significance for the promotion and application of the present invention.

[0028] 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

[0029] The accompanying drawings in the specification, which constitute 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 descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0030] Figure 1 This is a principle diagram of a primary frequency modulation performance evaluation method based on weighted contribution power according to an embodiment of the present invention; Figure 2 This is a specific flow chart of primary frequency regulation performance evaluation based on weighted contribution power according to an embodiment of the present invention; Figure 3 It is a structural schematic diagram of a primary frequency regulation performance evaluation system based on weighted contribution power according to an embodiment of the present invention; Figure 4 is a schematic diagram of an electronic device according to an embodiment of the present invention; Figure 5 The first group of grid frequency data segments and actual power data segments and the lower limit of the grid frequency dead zone described in the embodiment of the present invention; Figure 6is the discrete lognormal distribution probability density vector described in the embodiment of the present invention; Figure 7 The filtering result of the first group of power grid frequency data segments and actual power data segments described in the embodiment of the present invention; Figure 8 A determination result of a primary frequency modulation response data segment of the first group of power grid frequency data segments and actual power data segments described in an embodiment of the present invention; Fig. 9 The second group of grid frequency data segments and actual power data segments and filtering results described in the embodiment of the present invention; Fig.10 It is a result of determining a primary frequency modulation response data segment of the second group of grid frequency data segments and actual power data segments described in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0033] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0034] Figure 1 is a flow chart of a method for evaluating primary frequency modulation performance based on weighted contribution power in an embodiment of the present invention, such as Figure 1 A primary frequency regulation performance evaluation method based on weighted contribution power in the embodiment shown may include: S101, obtaining a data sequence of actual power generated by the unit and a data sequence of grid frequency with a fixed sampling period and performing filtering on both; S102, identifying frequency abnormality data segments according to the filtered grid frequency data sequence, and then determining the unit actual power data segments corresponding to each frequency abnormality data segment according to the unit actual power data sequence; S103, according to the frequency deviation of each frequency abnormality data segment, the unit speed inequality rate and the unit rated power, the adjustment amount corresponding to the theoretical output of the computer group at each sampling time within the frequency modulation duration, and then combined with the pre-constructed weighting coefficient vector, the weighted theoretical contribution power of the computer group in a frequency modulation process is calculated; S104, performing weighted summation of the actual power data segments of the generating units corresponding to each frequency abnormality data segment and the pre-built weighted coefficient vector, and calculating the weighted actual power contribution of the generating units in the primary frequency modulation process; S105, evaluating the primary frequency regulation performance of the unit according to the ratio of the weighted actual contribution power to the weighted theoretical contribution power during the primary frequency regulation process of the unit; wherein the weighted coefficient vector is a probability density vector that is constructed according to the characteristics of the power grid's expected unit output adjustment process and obeys a discrete log-normal distribution.

[0035] This embodiment uses the probability density of discrete logarithmic normal distribution to characterize the expected power response characteristics of the power grid. On the basis of filtering the primary frequency modulation data, the weighted actual contribution power and weighted theoretical contribution power of the unit in the primary frequency modulation process are calculated to evaluate the primary frequency modulation performance of the unit by contribution power. This method overcomes the problems of the existing primary frequency modulation performance evaluation methods in application, such as susceptibility to noise interference and evaluation results not being consistent with expectations.

[0036] Combine the following Figure 2 The specific implementation process of the embodiment of the present invention is given in detail: In step S101, the actual power data sequence of the conventional unit is obtained at a fixed sampling period and grid frequency data series , respectively, for the historical data series of power grid frequency And the actual power historical data series Perform filtering and denoising to obtain the denoised sequence and ; Among them, filtering and denoising are specifically as follows: SG filter is used to filter the power grid frequency sequence and the actual power sequence Perform smoothing filtering to eliminate random fluctuations in historical data sequences to reduce the negative impact of random fluctuations on performance evaluation results; The SG filter is used to filter out the noise in the data. ,Pick middle Before and after each time The length of the data points is The data segment is fitted with a polynomial as follows: , (1) in, represents the sample value after filtering, is the maximum order of the polynomial fit, and the fitting coefficient The value of satisfies: (2) When After filtering is completed, the filtered actual power data sequence is obtained ; Using the same operation, we can get the filtered grid frequency data sequence .

[0037] In step S102, the process of identifying the frequency abnormality data segment is: by comparing whether the filtered power grid frequency data segment exceeds the power grid frequency dead zone, it is determined whether the power grid frequency is abnormal.

[0038] According to the filtered grid frequency data sequence, the frequency abnormality data segment is identified, specifically: by comparing whether the filtered grid frequency data segment exceeds the grid frequency dead zone of 50±0.033Hz, it is judged whether the grid frequency is abnormal. represents a sequence of markers with abnormal frequencies, then (3) According to the frequency abnormality data segment, the actual power data segment corresponding to each frequency abnormality data segment is determined, specifically: according to the sample sequence number of the frequency abnormality data segment, the corresponding actual power data is extracted, that is, the actual power data segment. Frequency abnormal data segment , which satisfies or , then the corresponding actual power data segment is , here and Indicates The starting time and length of a frequency anomaly data segment.

[0039] In step S103, the weight coefficient vector is a probability density vector that is constructed according to the characteristics of the power grid desired unit output adjustment process and obeys the discrete logarithmic normal distribution.

[0040] The characteristics of the power grid's expected unit output adjustment process are specifically as follows: based on the grid's 15-second output response index, 30-second output response index and other assessment requirements.

[0041] According to the characteristic characterization of the unit output by the primary assessment index of the power grid, as well as the unit type and rated power, the mean and variance of the normal distribution corresponding to the discrete log-normal distribution probability density vector are adjusted and determined, so that the designed discrete log-normal distribution probability density vector can not only effectively reflect the power grid's expectations for the unit output, but also be consistent with the unit's objective output characteristics; Construct a probability density vector that obeys the discrete log-normal distribution as a weighted coefficient vector. Specifically, construct a set of probability density vectors of discrete log-normal distribution functions, and use the value of the elements in the vector to measure the importance of the output adjustment of the unit at different times during a frequency regulation process. Elements in for: (4) in, and Respectively represent the element number and length of the probability density vector, and The mean and variance of the normal distribution corresponding to the lognormal distribution function are calculated respectively. According to the assessment indicators such as the 15-second output response index, 30-second output response index, and the duration of a frequency regulation, it is recommended to take , .

[0042] According to the frequency deviation value in the frequency anomaly data segment, as well as the unit rated power, unit speed inequality and unit maximum output limit, the theoretical contribution power of the unit in the primary frequency regulation process is estimated. : (5) in, It indicates the adjustment amount corresponding to the theoretical output of the unit at each sampling time within the frequency modulation duration. and Respectively The starting time and length of a frequency deviation data segment.

[0043] (6) In the above formula, is the power frequency of the power grid ( Hz), is the unit speed inequality rate, is the rated power of the unit, For the The frequency deviation at each sampling moment in the frequency deviation data segment, that is, (7) In step S104, the product of the constructed weighted coefficient vector and the actual power data segment is used as the actual power contribution of the unit. , The calculation formula is (8) in, The unit actual power data segment corresponding to the frequency abnormality data segment is: .

[0044] In step S105, when the ratio of the weighted actual contribution power to the weighted theoretical contribution power in the primary frequency regulation process of the unit is closer to 100%, the performance in the primary regulation process is better. On the contrary, when the ratio is close to zero, it means that the performance of the unit in the primary frequency regulation process is poor.

[0045] Among them, the primary frequency modulation performance index for:

[0046] in, It is the weighted actual contribution of electricity in the primary frequency regulation process of the unit; It is the weighted theoretical contribution of electricity of the unit in the primary frequency regulation process.

[0047] In order to prove the effectiveness of the solution described in this embodiment, the following experimental verification is carried out in combination with specific examples: This embodiment takes the primary frequency regulation 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.

[0048] Step 1: Obtain the historical data sequence of power grid frequency with a sampling period of 1 second And the actual power historical data series , the rated power of the unit , speed inequality , the 15-second output response index is greater than 70%, and the 30-second output response index is greater than 90%; Step 2: According to the time requirements in the output response index and the specific requirement that a frequency modulation needs to be completed within 60 seconds, the normal distribution corresponding to the discrete logarithmic normal distribution is designed to have a mean of 2.7 and a variance of 1. The weighted coefficient vector is like Figure 6 As shown; Step 3: Select the highest order of the SG filter as 3 and the window width as , for historical data series and Smoothing filtering is performed separately to obtain the filtered historical data sequence and Respectively Figure 7 As shown by the green dotted line and the blue dotted line; Step 4: Sequence Based on the frequency marker sequence , and then based on or , get the frequency anomaly data segment and the corresponding actual power data segment. The results are as follows Figure 8 The part shown by the light green background; Step 5: Calculate the weighted theoretical contribution power corresponding to the frequency anomaly data segment , the weighted theoretical contribution of the unit in this case ; Step 6: Calculate the weighted actual contribution of the units in the primary frequency regulation process corresponding to each frequency abnormality data segment , in this case ; Step 7: Obtained weighted theoretical contribution and weighted actual contribution According to the ratio of the two, the unit's primary frequency regulation performance is obtained. .

[0049] In order to further illustrate the effectiveness of the primary frequency regulation performance evaluation method based on weighted contribution power described in the present invention, Fig. 9 Another set of historical data series of power grid frequency and actual power generation, as well as the corresponding filtering results are given in ; Fig.10 The frequency anomaly marking result is given in the figure. By evaluating the performance of the frequency modulation process, we can get .

[0050] Analysis of the above two groups of data shows that in the first group of data, the unit output adjustment delay is large and the output adjustment change rate is low, resulting in the actual contribution of the unit in the primary frequency regulation process cannot reach the theoretical contribution of electricity, so the performance evaluation result is low; in contrast, in the second group of data, the unit output adjustment delay is small and the output adjustment rate is high, the actual contribution of the unit can reach the theoretical contribution of electricity, so the performance evaluation result of the primary frequency regulation process is better.

[0051] Figure 3 is a structural diagram of a primary frequency regulation performance evaluation system based on weighted contribution power in an embodiment of the present invention. Figure 1 It corresponds to a primary frequency regulation performance evaluation method based on weighted contribution power, such as Figure 3 As shown, a primary frequency regulation performance evaluation system based on weighted contribution power in this embodiment may include: A data sequence acquisition module 301 is used to acquire a data sequence of actual power generated by a unit and a data sequence of grid frequency with a fixed sampling period and perform filtering on both; The frequency abnormality data segment identification module 302 is used to identify the frequency abnormality data segment according to the filtered power grid frequency data sequence, and then determine the unit actual power data segment corresponding to each frequency abnormality data segment according to the unit actual power data sequence; The weighted theoretical contribution power calculation module 303 is used to calculate the weighted theoretical contribution power of the computer group in a frequency modulation process according to the frequency deviation of each frequency abnormality data segment, the speed inequality rate of the unit and the rated power of the unit, and then combine the pre-constructed weight coefficient vector to calculate the weighted theoretical contribution power of the computer group in a frequency modulation process; The weighted actual contribution power calculation module 304 is used to calculate the weighted actual contribution power of the computer group during the primary frequency modulation process by weighted summing the actual power data segments of the unit corresponding to each frequency abnormality data segment and the pre-built weighting coefficient vector; The primary frequency regulation performance evaluation module 305 is used to evaluate the primary frequency regulation performance of the unit according to the ratio of the weighted actual contribution power to the weighted theoretical contribution power during the primary frequency regulation process of the unit; wherein the weighted coefficient vector is a probability density vector that obeys the discrete log-normal distribution and is constructed according to the characteristics of the power grid's expected unit output adjustment process.

[0052] It should be noted here that Figure 3 The various modules in a primary frequency regulation performance evaluation system based on weighted contribution power are compared with Figure 1 The various steps in a primary frequency regulation performance evaluation method based on weighted contribution power correspond one to another, and the specific implementation process is the same, which will not be repeated here.

[0053] Reference Figure 4 , a schematic diagram of an electronic device is given. It should be noted that, Figure 4 The electronic device 400 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0054] like Figure 4 As shown, the electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403. In the RAM 403, various programs and data required for system operation are also stored. The central processing unit 401, the ROM 402 and the RAM 403 are connected to each other through a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0055] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a local area network (LAN) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.

[0056] When the central processing unit 401 in the electronic device of this embodiment executes the program, the following is achieved: Figure 1 The steps in a method for evaluating primary frequency regulation performance based on weighted contribution power are shown.

[0057] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer readable medium, the computer program including a computer program for executing Figure 1 In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit 401, various functions defined in the apparatus of the present application are executed.

[0058] in, Figure 1 The computer program instructions corresponding to the method shown may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0059] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0060] 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 primary frequency regulation performance based on weighted contribution power, characterized in that: include: Obtain the actual power data sequence of the unit and the grid frequency data sequence of a fixed sampling period and perform filtering on both; According to the filtered power grid frequency data sequence, the frequency abnormality data segment is identified, and then according to the unit actual power data sequence, the unit actual power data segment corresponding to each frequency abnormality data segment is determined; According to the frequency deviation, unit speed inequality and unit rated power of each frequency abnormality data segment, the adjustment amount corresponding to the theoretical output of the computer unit at each sampling time during the frequency modulation duration is calculated, and then combined with the pre-constructed weighting coefficient vector, the weighted theoretical contribution power of the computer unit in a frequency modulation process is calculated; According to the weighted sum of the actual power data segment of the unit corresponding to each frequency abnormality data segment and the pre-built weighted coefficient vector, the weighted actual contribution power of the computer unit in the primary frequency modulation process is calculated; The primary frequency regulation performance of the unit is evaluated according to the ratio of the weighted actual contribution power to the weighted theoretical contribution power during the primary frequency regulation process of the unit; wherein the weighted coefficient vector is a probability density vector that obeys the discrete log-normal distribution and is constructed according to the characteristics of the power grid's expected unit output adjustment process.

2. A method for evaluating primary frequency modulation performance based on weighted contribution power according to claim 1, characterized in that: The process of identifying the frequency abnormality data segment is as follows: by comparing whether the filtered grid frequency data segment exceeds the grid frequency dead zone, it is determined whether the grid frequency is abnormal.

3. A method for evaluating primary frequency modulation performance based on weighted contribution power according to claim 1, characterized in that: The weighted theoretical contribution of the unit in the primary frequency modulation process is set as , whose expression is: ； ； ； in, Indicates the adjustment amount corresponding to the theoretical output of the unit at each sampling moment within the frequency modulation duration; is the power frequency of the power grid, is the unit speed inequality rate, is the rated power of the unit, For the The frequency deviation at each sampling moment in the frequency anomaly data segment, and Respectively The starting time and length of each frequency anomaly data segment; is a pre-constructed weight coefficient vector; is the filtered grid frequency data sequence The filtered grid frequency data value in; N represents the sampling time; .

4. A method for evaluating primary frequency modulation performance based on weighted contribution power according to claim 1, characterized in that: The weighted actual contribution power of the unit during the primary frequency regulation process is set as , whose expression is: ； in, , and Respectively The starting time and length of each frequency abnormality data segment; the unit actual power data segment corresponding to the frequency abnormality data segment is .

5. A method for evaluating primary frequency modulation performance based on weighted contribution power according to claim 1, characterized in that: When the ratio of the weighted actual contribution power to the weighted theoretical contribution power in the primary frequency regulation process of the unit is closer to 100%, the performance in the primary regulation process is better. On the contrary, when the ratio is close to zero, it means that the performance of the unit in the primary frequency regulation process is poor.

6. A method for evaluating primary frequency modulation performance based on weighted contribution power according to claim 1, characterized in that: Primary frequency modulation performance indicators for: ； in, It is the weighted actual contribution of electricity in the primary frequency regulation process of the unit; It is the weighted theoretical contribution of electricity of the unit in the primary frequency regulation process.

7. A method for evaluating primary frequency regulation performance based on weighted contribution power according to claim 1, characterized in that: The process of constructing the weighted coefficient vector is as follows: construct a set of discrete log-normal distribution function probability density vectors, and use the value of the elements in the vector to measure the importance of the output adjustment of the unit at different times during a frequency regulation process; among them, the discrete log-normal distribution probability density vector Elements in for: ； in, and are the element number and length of the discrete lognormal distribution probability density vector, respectively. and The mean and variance of the normal distribution corresponding to the lognormal distribution function respectively.

8. A primary frequency regulation performance evaluation system based on weighted contribution power, characterized in that: include: A data sequence acquisition module is used to acquire the actual power data sequence of the unit and the grid frequency data sequence of a fixed sampling period and perform filtering on both; The frequency abnormality data segment identification module is used to identify the frequency abnormality data segment according to the filtered power grid frequency data sequence, and then determine the unit actual power data segment corresponding to each frequency abnormality data segment according to the unit actual power data sequence; The weighted theoretical contribution power calculation module is used to calculate the weighted theoretical contribution power of the computer group in a frequency modulation process according to the frequency deviation of each frequency abnormality data segment, the speed inequality rate of the unit and the rated power of the unit, and then combine the pre-constructed weighted coefficient vector to calculate the weighted theoretical contribution power of the computer group in a frequency modulation process; The weighted actual contribution power calculation module is used to calculate the weighted actual contribution power of the computer group during the primary frequency modulation process by weighted summing the actual power data segments of the unit corresponding to each frequency abnormality data segment and the pre-built weighting coefficient vector; The primary frequency regulation performance evaluation module is used to evaluate the primary frequency regulation performance of the unit according to the ratio of the weighted actual contribution power to the weighted theoretical contribution power during the primary frequency regulation process of the unit; wherein the weighted coefficient vector is a probability density vector that obeys the discrete log-normal distribution and is constructed according to the characteristics of the power grid's expected unit output adjustment process.

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 in a primary frequency regulation performance evaluation method based on weighted contribution power as described in any one of claims 1 to 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 in the primary frequency regulation performance evaluation method based on weighted contribution power as described in any one of claims 1-7 are implemented.

Images