Thermal power generating unit regulation performance evaluation method, system, equipment and medium

Abstract

The invention belongs to the technical field of network source coordination, and discloses a thermal power generating unit regulation performance evaluation method, system, equipment and medium, and the method comprises the steps: obtaining regional to-be-distributed quantity data of a power grid at each moment, carrying out the data processing of the regional to-be-distributed quantity data, and obtaining the actual demands of the power grid for an automatic power generation control unit at each time period; the method comprises the following steps: calculating weights of different time periods in an automatic power generation control action performance index calculation process based on actual demands of a power grid for an automatic power generation control unit in each time period, and endowing each time period with a respective weight coefficient according to a weight calculation result; and based on the weight coefficient of each time period, calculating performance indexes of automatic power generation control of the thermal power generating unit on the current day and the current month, and evaluating the automatic power generation control performance of each thermal power generating unit. According to the method, the AGC performance index is recalculated, the adjustment performance of the AGC unit can be evaluated more reasonably, and the supply and demand balance of a power grid is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of network-source coordination, and in particular to a method, system, equipment and medium for evaluating the regulation performance of a thermal power unit. Background Art

[0002] With the rapid growth of installed capacity of new energy, the balance of supply and demand of the power grid has been greatly challenged. The automatic generation control (AGC) of thermal power units refers to the power grid dispatching center directly adjusting the active output of the units through the DCS control system of the thermal power units. It is an important function of thermal power units and is of great significance to ensuring the balance of supply and demand of the power grid.

[0003] At present, the AGC performance evaluation of thermal power units needs to consider multiple indicators, and the AGC regulation performance of the day or month is evaluated by calculating the average of the indicators.

[0004] However, this method has certain shortcomings. For example, in the period when the output of renewable energy fluctuates greatly, the overall supply and demand balance of the power grid is more difficult. At this time, thermal power units are urgently needed to adjust their output levels through AGC. Therefore, more compensation should be given to units with better AGC performance in these periods. The current calculation method calculates the average value of the AGC index in each time period, ignoring the different AGC requirements of the power grid in each period. It is necessary to study the evaluation of the AGC regulation performance of thermal power units according to the actual needs of the power grid. Summary of the invention

[0005] The embodiments of the present invention provide a method, system, device and medium for evaluating the regulation performance of a thermal power unit to solve the above-mentioned problems existing in the prior art.

[0006] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended to be a general review, nor is it intended to identify key / important components or to delineate the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

[0007] According to a first aspect of an embodiment of the present invention, a method for evaluating regulation performance of a thermal power unit is provided.

[0008] In one embodiment, the thermal power unit regulation performance evaluation method includes:

[0009] Acquire the regional to-be-allocated quantity data of the power grid at each time, and obtain the actual demand of the power grid for the automatic power generation control unit in each time period by processing the regional to-be-allocated quantity data;

[0010] Based on the actual demand of the power grid for automatic generation control units in each time period, the weights of different time periods in the calculation process of automatic generation control action performance indicators are calculated, and according to the weight calculation results, each time period is assigned its own weight coefficient;

[0011] Based on the weight coefficient of each time period, the performance index of the automatic power generation control of the thermal power units on that day and that month is calculated, and the automatic power generation control performance of each thermal power unit is evaluated.

[0012] In one embodiment, the obtaining of regional to-be-allocated data of the power grid at each time, and obtaining the actual demand of the power grid for the automatic generation control unit in each time period by processing the regional to-be-allocated data, comprises:

[0013] By setting a dead zone for the regional control deviation data, the actual regional distribution quantity data of the power grid can be obtained;

[0014] An absolute value operation is performed on the acquired regional to-be-allocated quantity data, and the regional to-be-allocated quantity data after the absolute value operation is taken as the actual demand of the power grid for the automatic power generation control unit.

[0015] In one embodiment, the calculation formula of the regional control deviation data is:

[0016] ACE=10×B×(f-f0)+(P-P0)

[0017] Wherein, ACE is the regional control deviation data; B is the frequency deviation coefficient; f is the actual frequency of the power grid; f0 is the rated frequency of the power grid; P is the actual value of the interconnection line exchange power; P0 is the actual value of the interconnection line exchange power.

[0018] In one embodiment, the weights of different time periods in the process of calculating the performance index of the automatic generation control action are calculated based on the actual demand of the power grid for the automatic generation control unit in each time period, and the weight coefficients are assigned to each time period according to the weight calculation results, including:

[0019] Based on the calculated actual demand of the automatic generation control unit, combined with the time period distribution, the hourly average value of the regional allocation data after taking the absolute value is calculated, and the daily average value of the automatic generation control demand for the day is calculated by integrating the average values ​​of all hours of the day;

[0020] The hourly average value of each time period is divided by the daily average value of the day to obtain the weight of the automatic power generation control action in each time period, which is used as the weight coefficient in the calculation of performance indicators in different time periods.

[0021] In one embodiment, the calculation formula of the weight coefficient is:

[0022]

[0023] In the formula, x h is the weight coefficient of the hth time period; is the average value of the data to be allocated in the hth time period; It is the daily average value of the demand for automatic power generation control.

[0024] In one embodiment, the calculation of the performance index of the automatic power generation control of the thermal power units on the day and the month based on the weight coefficient of each time period and the evaluation of the automatic power generation control performance of each thermal power unit include:

[0025] Obtaining a regulation rate index, a regulation accuracy index, and a corresponding time index of the thermal power unit, and calculating the performance index of automatic power generation control of the thermal power unit in different time periods by multiplying the regulation rate index, the regulation accuracy index, and the corresponding time index;

[0026] According to the performance indicators of automatic power generation control of thermal power units in different time periods and the weight coefficients of each time period, the daily average value of the regulation performance of the performance indicators of the automatic power generation control action and the monthly average value of the regulation performance are calculated to evaluate the automatic power generation control performance of each thermal power unit.

[0027] In one embodiment, the calculation formula of the daily average value of the regulation performance is:

[0028]

[0029] In the formula, is the daily average value of regulation performance; x j,h It represents the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; is the performance index corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; n is the number of adjustments of the automatic generation control action on the day;

[0030] The calculation formula of the monthly average value of the regulation performance is:

[0031]

[0032] In the formula, is the monthly average value of regulation performance; x j,d,h is the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the dth day of this month; is the performance index of thermal power unit i corresponding to the time period of the jth automatic generation control action on the day; N is the number of adjustments of automatic generation control actions within this month.

[0033] According to a second aspect of an embodiment of the present invention, a thermal power unit regulation performance evaluation system is provided.

[0034] In one embodiment, the thermal power unit regulation performance evaluation system comprises:

[0035] A data processing module is used to obtain the regional to-be-allocated data of the power grid at each time, and obtain the actual demand of the power grid for the automatic power generation control unit in each time period by processing the regional to-be-allocated data;

[0036] The weight analysis module is used to calculate the weights of different time periods in the process of calculating the performance index of automatic generation control actions based on the actual demand of the power grid for automatic generation control units in each time period, and assign respective weight coefficients to each time period according to the weight calculation results;

[0037] The performance evaluation module is used to calculate the performance indicators of the automatic power generation control of the thermal power units on the day and the month based on the weight coefficients of each time period, and evaluate the automatic power generation control performance of each thermal power unit.

[0038] In one embodiment, the data processing module includes: a data acquisition module and a value conversion module, wherein:

[0039] The data acquisition module is used to obtain the actual regional to-be-allocated quantity data of the power grid by setting a dead zone for the regional control deviation data;

[0040] The value conversion module is used to perform an absolute value operation on the acquired regional to-be-allocated quantity data, and use the regional to-be-allocated quantity data after the absolute value operation as the actual demand of the power grid for the automatic power generation control unit.

[0041] In one embodiment, the calculation formula of the regional control deviation data is:

[0042] ACE=10×B×(f-f0)+(P-P0)

[0043] Wherein, ACE is the regional control deviation data; B is the frequency deviation coefficient; f is the actual frequency of the power grid; f0 is the rated frequency of the power grid; P is the actual value of the interconnection line exchange power; P0 is the actual value of the interconnection line exchange power.

[0044] In one embodiment, the weight analysis module includes: a mean calculation module and a weight calculation module, wherein:

[0045] The mean value calculation module is used to calculate the hourly average value of the regional to-be-allocated quantity data in each hour after taking the absolute value based on the calculated actual demand of the automatic power generation control unit in combination with the time period distribution, and calculate the daily average value of the automatic power generation control demand of the day by integrating the average values ​​of all hours of the day;

[0046] The weight calculation module is used to divide the hourly average value of each time period by the daily average value of the day to obtain the weight of the automatic power generation control action in each time period as the weight coefficient in the process of calculating the performance index in different time periods.

[0047] In one embodiment, the calculation formula of the weight coefficient is:

[0048]

[0049] In the formula, x h is the weight coefficient of the hth time period; is the average value of the data to be allocated in the hth time period; It is the daily average value of the demand for automatic power generation control.

[0050] In one embodiment, the performance evaluation module includes: an index calculation module and an index evaluation module, wherein:

[0051] The index calculation module is used to obtain the regulation rate index, regulation accuracy index and corresponding time index of the thermal power unit, and calculate the performance index of the automatic power generation control of the thermal power unit in different time periods by multiplying the regulation rate index, regulation accuracy index and corresponding time index;

[0052] The index evaluation module is used to calculate the daily average value and the monthly average value of the regulation performance of the performance index of the automatic power generation control action according to the performance index of the automatic power generation control of the thermal power unit in different time periods and the weight coefficient of each time period, and evaluate the automatic power generation control performance of each thermal power unit.

[0053] In one embodiment, the calculation formula of the daily average value of the regulation performance is:

[0054]

[0055] In the formula, is the daily average value of regulation performance; x j,h It represents the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; is the performance index corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; n is the number of adjustments of the automatic generation control action on the day;

[0056] The calculation formula of the monthly average value of the regulation performance is:

[0057]

[0058] In the formula, is the monthly average value of regulation performance; x j,d,his the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the dth day of this month; is the performance index of thermal power unit i corresponding to the time period of the jth automatic generation control action on the day; N is the number of adjustments of automatic generation control actions within this month.

[0059] According to a third aspect of an embodiment of the present invention, a computer device is provided.

[0060] In some embodiments, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0061] According to a fourth aspect of embodiments of the present invention, a computer-readable storage medium is provided.

[0062] In one embodiment, the computer-readable storage medium stores a computer program, and the computer program implements the steps of the above method when executed by a processor.

[0063] The technical solution provided by the embodiment of the present invention may include the following beneficial effects: the present invention utilizes the regional to-be-allocated quantity data (ARR) to represent the power grid's demand for automatic generation control (AGC), assigns different weights to the AGC performance indicators in different time periods, and recalculates the AGC performance indicators, which is conducive to a more reasonable evaluation of the regulation performance of the AGC unit, ensuring the balance of supply and demand in the power grid, and providing technical support for dispatching personnel to reasonably evaluate the AGC units and for power plant personnel to optimize the AGC performance.

[0064] It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0066] Figure 1 is a flow chart of a method for evaluating regulation performance of a thermal power unit according to an exemplary embodiment;

[0067] Figure 2 is a structural schematic diagram of a thermal power unit regulation performance evaluation system according to an exemplary embodiment;

[0068] Figure 3 is the actual ARR data (regional to-be-allocated data) of a power grid on a certain day according to an exemplary embodiment;

[0069] Figure 4is the actual demand of the power grid for AGC (automatic generation control) on a certain day according to an exemplary embodiment;

[0070] Figure 5 is the average AGC (automatic generation control) demand for each time period of the day according to an exemplary embodiment;

[0071] Figure 6 is a weight coefficient of an AGC (automatic generation control) index for each time period of the day according to an exemplary embodiment;

[0072] Figure 7 The figure is a schematic diagram showing the structure of a computer device according to an exemplary embodiment. DETAILED DESCRIPTION

[0073] The following description and accompanying drawings fully illustrate the specific embodiments of this article so that those skilled in the art can practice them. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments of this article includes the entire scope of the claims, as well as all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another, without requiring or implying any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the structure, device or equipment including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such structure, device or equipment. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the structure, device or equipment including the elements. Each embodiment is described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the embodiments can be referred to each other.

[0074] The terms "longitudinal", "lateral", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. in this document indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing this document and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In the description of this document, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, it can also be the internal communication of two elements, it can be a direct connection, or it can be an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0075] As used herein, unless otherwise specified, the term "plurality" means two or more than two.

[0076] In this document, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0077] In this article, the term "and / or" is a description of the association relationship between objects, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B.

[0078] It should be understood that, although the various steps in the flow chart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0079] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above modules.

[0080] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0081] Figure 1An embodiment of a method for evaluating regulation performance of a thermal power unit according to the present invention is shown.

[0082] In this optional embodiment, the thermal power unit regulation performance evaluation method includes:

[0083] Step S101, obtaining regional to-be-allocated quantity data of the power grid at each time, and obtaining actual demand of the power grid for automatic power generation control units in each time period by processing the regional to-be-allocated quantity data;

[0084] Step S103, based on the actual demand of the power grid for the automatic generation control unit in each time period, calculate the weights of different time periods in the process of calculating the automatic generation control action performance index, and assign respective weight coefficients to each time period according to the weight calculation results;

[0085] Step S105: based on the weight coefficients of each time period, calculate the performance index of the automatic power generation control of the thermal power units on that day and that month, and evaluate the automatic power generation control performance of each thermal power unit.

[0086] In this optional embodiment, when obtaining the regional data on the amount to be allocated at each moment of the power grid and performing data processing on the regional data on the amount to be allocated to obtain the actual demand of the power grid for the automatic power generation control unit in each time period, a dead zone can be set for the regional control deviation data to obtain the actual regional data on the amount to be allocated of the power grid; performing an absolute value operation on the obtained regional data on the amount to be allocated, and using the regional data on the amount to be allocated after the absolute value operation as the actual demand of the power grid for the automatic power generation control unit.

[0087] In this optional embodiment, the calculation formula of the regional control deviation data is:

[0088] ACE=10×B×(f-f0)+(P-P0)

[0089] Wherein, ACE is the regional control deviation data; B is the frequency deviation coefficient; f is the actual frequency of the power grid; f0 is the rated frequency of the power grid; P is the actual value of the interconnection line exchange power; P0 is the actual value of the interconnection line exchange power.

[0090] In this optional embodiment, when calculating the weights of different time periods in the process of calculating the performance index of the automatic power generation control action based on the actual demand of the automatic power generation control unit in each time period of the power grid, and assigning respective weight coefficients to each time period according to the weight calculation results, the hourly average value of the regional to-be-allocated quantity data in each hour after taking the absolute value can be calculated based on the calculated actual demand of the automatic power generation control unit and combined with the time period distribution, and the daily average value of the automatic power generation control demand for that day is calculated by integrating the average values ​​of all hours of that day; the hourly average value of each time period is divided by the daily average value of that day to obtain the weight of the automatic power generation control action in each time period, which is used as the weight coefficient of different time periods in the process of calculating the performance index.

[0091] In this optional embodiment, the calculation formula of the weight coefficient is:

[0092]

[0093] In the formula, x h is the weight coefficient of the hth time period; is the average value of the data to be allocated in the hth time period; It is the daily average value of the demand for automatic power generation control.

[0094] In this optional embodiment, when calculating the performance index of automatic power generation control of the thermal power unit on the day and the month based on the weight coefficient of each time period and evaluating the automatic power generation control performance of each thermal power unit, the regulation rate index, regulation accuracy index and corresponding time index of the thermal power unit can be obtained, and the performance index of automatic power generation control of the thermal power unit in different time periods is calculated by multiplying the regulation rate index, regulation accuracy index and corresponding time index; according to the performance index of automatic power generation control of the thermal power unit in different time periods and the weight coefficient of each time period, the daily average value of the regulation performance and the monthly average value of the regulation performance of the performance index of the automatic power generation control action are calculated, and the automatic power generation control performance of each thermal power unit is evaluated.

[0095] In this optional embodiment, the calculation formula of the daily average value of the regulation performance is:

[0096]

[0097] In the formula, is the daily average value of regulation performance; x j,h It represents the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; is the performance index corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; n is the number of adjustments of the automatic generation control action on the day;

[0098] The calculation formula of the monthly average value of the regulation performance is:

[0099]

[0100] In the formula, is the monthly average value of regulation performance; x j,d,h is the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the dth day of this month; is the performance index of thermal power unit i corresponding to the time period of the jth automatic generation control action on the day; N is the number of adjustments of automatic generation control actions within this month.

[0101] Figure 2 An embodiment of a thermal power unit regulation performance evaluation system of the present invention is shown.

[0102] In this optional embodiment, the thermal power unit regulation performance evaluation system includes:

[0103] The data processing module 201 is used to obtain the regional to-be-allocated data of the power grid at each time, and obtain the actual demand of the power grid for the automatic generation control unit in each time period by processing the regional to-be-allocated data;

[0104] The weight analysis module 203 is used to calculate the weights of different time periods in the process of calculating the performance index of the automatic generation control action based on the actual demand of the power grid for the automatic generation control unit in each time period, and assign respective weight coefficients to each time period according to the weight calculation results;

[0105] The performance evaluation module 205 is used to calculate the performance index of the automatic power generation control of the thermal power units on the day and the month based on the weight coefficient of each time period, and evaluate the automatic power generation control performance of each thermal power unit.

[0106] In this optional embodiment, the data processing module 201 includes: a data acquisition module (not shown in the figure) and a value conversion module (not shown in the figure), wherein the data acquisition module is used to obtain the actual regional to-be-allocated quantity data of the power grid by setting a dead zone for the regional control deviation data; the value conversion module is used to perform an absolute value operation on the acquired regional to-be-allocated quantity data, and use the regional to-be-allocated quantity data after the absolute value operation as the actual demand of the power grid for the automatic power generation control unit.

[0107] In this optional embodiment, the calculation formula of the regional control deviation data is:

[0108] ACE=10×B×(f-f0)+(P-P0)

[0109] Wherein, ACE is the regional control deviation data; B is the frequency deviation coefficient; f is the actual frequency of the power grid; f0 is the rated frequency of the power grid; P is the actual value of the interconnection line exchange power; P0 is the actual value of the interconnection line exchange power.

[0110] In this optional embodiment, the weight analysis module 203 includes: a mean calculation module (not shown in the figure) and a weight calculation module (not shown in the figure), wherein the mean calculation module is used to calculate the hourly average value of the regional allocation data in each hour after taking the absolute value based on the actual demand of the automatic power generation control unit calculated, combined with the time period distribution, and calculate the daily average value of the automatic power generation control demand for the day by integrating the average values ​​of all hours of the day; the weight calculation module is used to use the hourly average value of each time period divided by the daily average value of the day to obtain the weight of the automatic power generation control action in each time period, as the weight coefficient of different time periods in the process of calculating performance indicators.

[0111] In this optional embodiment, the calculation formula of the weight coefficient is:

[0112]

[0113] In the formula, x h is the weight coefficient of the hth time period; is the average value of the data to be allocated in the hth time period; It is the daily average value of the demand for automatic power generation control.

[0114] In this optional embodiment, the performance evaluation module 205 includes: an index calculation module (not shown in the figure) and an index evaluation module (not shown in the figure), wherein the index calculation module is used to obtain the regulation rate index, regulation accuracy index and corresponding time index of the thermal power unit, and calculate the performance index of the automatic power generation control of the thermal power unit in different time periods by multiplying the regulation rate index, regulation accuracy index and corresponding time index; the index evaluation module is used to calculate the daily average value of the regulation performance and the monthly average value of the regulation performance of the performance index of the automatic power generation control action according to the performance index of the automatic power generation control of the thermal power unit in different time periods and the weight coefficient of each time period, and evaluate the automatic power generation control performance of each thermal power unit.

[0115] In this optional embodiment, the calculation formula of the daily average value of the regulation performance is:

[0116]

[0117] In the formula, is the daily average value of regulation performance; x j,h It represents the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; is the performance index corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; n is the number of adjustments of the automatic generation control action on the day;

[0118] The calculation formula of the monthly average value of the regulation performance is:

[0119]

[0120] In the formula, is the monthly average value of regulation performance; x j,d,h is the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the dth day of this month; is the performance index of thermal power unit i corresponding to the time period of the jth automatic generation control action on the day; N is the number of adjustments of automatic generation control actions within this month.

[0121] The thermal power unit regulation performance evaluation method constructed by the present invention is described in detail below in conjunction with specific embodiments and drawings.

[0122] By obtaining the ARR data (regional data on the amount to be allocated) of the power grid at each moment and processing it, the processed ARR data is used to represent the actual demand of the power grid for AGC (automatic generation control) in each time period; according to the actual demand of AGC in each time period, different weights are assigned to the indicators of AGC action in different time periods, and the AGC performance of each thermal power unit is evaluated. This method takes into account the actual demand of the power grid and makes a more reasonable evaluation of the AGC performance indicators of the unit, which is conducive to ensuring the balance of supply and demand of the power grid.

[0123] Taking the actual data of a provincial power grid as an example, the proposed AGC regulation performance evaluation method is introduced, and the specific process is described as follows.

[0124] 1. Obtain the actual ARR data of a province's power grid. The ARR data is obtained by setting the dead zone of the area control deviation (ACE). The provincial power grid uses the ARR data as the actual allocation of the power grid AGC.

[0125] At present, the AGC of the provincial power grid adopts the control mode of the net exchange power deviation and frequency deviation (TBC) of the tie line. The calculation method of ACE is:

[0126] ACE=10×B×(f-f0)+(P-P0)

[0127] Among them, P and P0 represent the actual value and planned value of the interconnection line exchange power respectively, f and f0 represent the actual frequency and rated frequency of the power grid respectively, B represents the frequency deviation coefficient of the provincial control area, and the rated frequency of the power grid is 50Hz.

[0128] In order to prevent the units from operating frequently, the actual ARR data of the power grid can be obtained by setting a dead zone for the ACE data. The provincial power grid uses ARR data to allocate AGC, and the actual dead zone is set to 20MW.

[0129] The actual ARR data has positive and negative values. The acquired ARR data is taken for absolute value operation. The data after the operation can reasonably represent the actual demand of the power grid for AGC.

[0130] 2. Calculate the average value of the processed ARR data for each hour and store the calculated results in Table 1.

[0131] Table 1. AGC demand in different time periods

[0132]

[0133] Among them represents the average value of AGC demand in hour h of the day, using the formula Calculate the average AGC demand for the day

[0134] The mean values ​​for each time period calculated using Table 1 Divide by the daily average The weight coefficients of each time period are obtained by the method. Table 2 shows the obtained weight coefficients, where

[0135] Table 2. Weight coefficients for each time period

[0136]

[0137]

[0138] 3. According to the weight coefficients of each time period obtained previously, the AGC performance of each thermal power unit is calculated.

[0139] The performance index of the jth AGC action of computer group i needs to first calculate the current regulation rate index Adjustment accuracy index and response time metrics The performance index calculation method for this time is

[0140] The current daily average calculation method of regulation performance is:

[0141]

[0142] The formula reflects the average performance index of the i-th AGC unit during n adjustments in one day.

[0143] The current daily average calculation method of regulation performance is:

[0144]

[0145] The formula reflects the average performance index of the i-th AGC unit during N adjustments within a month.

[0146] The method for calculating the daily average value of the regulation performance after optimization of the present invention is as follows:

[0147]

[0148] The x in the formula j,h It represents the weight coefficient corresponding to the jth AGC action of unit i on the day. The action occurs at the hth hour of the day. The value is related to h. That is, if the 100th AGC action of the day occurs at the 5th hour of the day, then x 100,h =x5. This formula can ensure that each The corresponding weight sum is maintained as n.

[0149] The method for calculating the monthly average value of the regulation performance after optimization of the present invention is as follows:

[0150]

[0151] The x in the formula j,d,h It represents the weight coefficient corresponding to the jth AGC action of unit i in this month. The action occurs at the hth hour on the dth day of this month. The value is related to d and h. The corresponding weight sum is maintained as N.

[0152] Taking unit i in the province on a certain day as an example, the computer group AGC performance index must first obtain the adjustment rate index of each action of the unit on that day Adjustment accuracy index and response time metrics The system of the provincial power dispatching and control center can automatically calculate the relevant values. Table 3 shows the values ​​of each action of the unit on that day. and value.

[0153] Table 3. Unit AGC action index values

[0154]

[0155]

[0156] In the standard principles and operation process of the actual power grid, the regulation rate index The value of is between 0.1 and 1.3. If the calculated value is less than 0.1, take 0.1. If the calculated value is greater than 1.3, take 1.3; adjust the accuracy index The value of is not less than 0.1. If the calculated value is less than 0.1, take 0.1; Response time index The value of is not less than 0.1. If the calculated value is less than 0.1, take 0.1. Adjust the speed index according to the detailed rules Adjustment accuracy index and response time metrics The value is corrected.

[0157] According to the AGC action time, determine the coefficient corresponding to each AGC action. For example, if the AGC action time is 00:00:05, then the corresponding coefficient is x1; if the AGC action time is 12:21:36, then the corresponding coefficient is x 13 ; AGC action time 23:59:13, then the corresponding coefficient x 24 .

[0158] Table 4. Corresponding coefficients of each AGC action of the unit

[0159]

[0160]

[0161] According to the optimized calculation method, the index of each AGC action is The optimized AGC regulation performance index of the unit can be obtained by multiplying it by the weight coefficient of the time period in which the AGC action occurs.

[0162] Figure 3 , Figure 4 They are the actual ARR data of the power grid on a certain day and the actual demand data of the power grid for AGC after processing. Figure 4 Data from Figure 3 The data is obtained by taking the absolute value.

[0163] Through Figure 4 The data is calculated as the average value per hour, and the Figure 5 The average AGC demand for each period of the day is shown. The weight coefficient of the AGC index for each period can be determined by dividing the average AGC demand for each period by the average value of the day. Figure 6 As shown in the figure, during the time period with large AGC demand, the weight coefficient reaches 1.4. For the units with better AGC performance during this time period, the optimized calculation method will give them higher regulation performance index values.

[0164] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the above method embodiment are implemented.

[0165] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0166] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0167] In addition, the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0168] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0169] The present invention is not limited to the structures which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for evaluating the regulation performance of a thermal power unit, characterized in that: include: Acquire the regional to-be-allocated data of the power grid at each time, and obtain the actual demand of the power grid for the automatic generation control unit in each time period by processing the regional to-be-allocated data; Based on the actual demand of the power grid for automatic generation control units in each time period, the weights of different time periods in the calculation process of automatic generation control action performance indicators are calculated, and according to the weight calculation results, each time period is assigned its own weight coefficient; Based on the weight coefficient of each time period, the performance index of the automatic power generation control of the thermal power units on that day and that month is calculated, and the automatic power generation control performance of each thermal power unit is evaluated.

2. The method for evaluating the regulation performance of a thermal power unit according to claim 1, characterized in that: The obtaining of regional to-be-allocated data of the power grid at each time, and obtaining the actual demand of the power grid for the automatic generation control unit in each time period by processing the regional to-be-allocated data, comprises: By setting a dead zone for the regional control deviation data, the actual regional distribution quantity data of the power grid can be obtained; An absolute value operation is performed on the acquired regional to-be-allocated quantity data, and the regional to-be-allocated quantity data after the absolute value operation is taken as the actual demand of the power grid for the automatic power generation control unit.

3. The method for evaluating the regulating performance of a thermal power unit according to claim 2, characterized in that: The calculation formula of the regional control deviation data is: ACE=10×B×(f-f0)+(P-P0) Wherein, ACE is the regional control deviation data; B is the frequency deviation coefficient; f is the actual frequency of the power grid; f0 is the rated frequency of the power grid; P is the actual value of the interconnection line exchange power; P0 is the actual value of the interconnection line exchange power.

4. The method for evaluating the regulation performance of a thermal power unit according to claim 1, characterized in that: The weights of different time periods in the process of calculating the performance index of the automatic generation control action are calculated based on the actual demand of the power grid for the automatic generation control unit in each time period, and the weight coefficients are assigned to each time period according to the weight calculation results, including: Based on the calculated actual demand of the automatic generation control unit, combined with the time period distribution, the hourly average value of the regional allocation data after taking the absolute value is calculated, and the daily average value of the automatic generation control demand for the day is calculated by integrating the average values ​​of all hours of the day; The hourly average value of each time period is divided by the daily average value of the day to obtain the weight of the automatic power generation control action in each time period, which is used as the weight coefficient in the calculation of performance indicators in different time periods.

5. The method for evaluating the regulating performance of a thermal power unit according to claim 4, characterized in that: The calculation formula of the weight coefficient is: In the formula, x h is the weight coefficient of the hth time period; is the hourly average value of the automatic power generation control demand in the hth time period; It is the daily average value of the demand for automatic power generation control.

6. The method for evaluating the regulation performance of a thermal power unit according to claim 1, characterized in that: The weight coefficients of each time period are used to calculate the performance index of the automatic power generation control of the thermal power units on that day and that month, and the automatic power generation control performance of each thermal power unit is evaluated, including: Obtaining a regulation rate index, a regulation accuracy index, and a corresponding time index of the thermal power unit, and calculating the performance index of automatic power generation control of the thermal power unit in different time periods by multiplying the regulation rate index, the regulation accuracy index, and the corresponding time index; According to the performance indicators of automatic power generation control of thermal power units in different time periods and the weight coefficients of each time period, the daily average and monthly average of the regulation performance of the performance indicators of the automatic power generation control action are calculated to evaluate the automatic power generation control performance of each thermal power unit.

7. The method for evaluating the regulating performance of a thermal power unit according to claim 6, characterized in that: The calculation formula of the daily average value of the regulation performance is: In the formula, is the daily average value of regulation performance; x j,h Represents the weight coefficient of the time period of the jth automatic generation control action of thermal power unit i on this day; is the performance index corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; n is the number of adjustments of the automatic generation control action on the day; The calculation formula of the monthly average value of the regulation performance is: In the formula, is the monthly average value of regulation performance; x j,d,h is the weight coefficient of the time period of the jth automatic generation control action of thermal power unit i on the dth day of this month; is the performance index of thermal power unit i corresponding to the time period of the jth automatic generation control action on the day; N is the number of adjustments of automatic generation control actions within this month.

8. A thermal power unit regulation performance evaluation system, characterized in that: include: A data processing module is used to obtain the regional to-be-allocated data of the power grid at each time, and obtain the actual demand of the power grid for the automatic power generation control unit in each time period by processing the regional to-be-allocated data; The weight analysis module is used to calculate the weights of different time periods in the process of calculating the performance index of automatic generation control actions based on the actual demand of the power grid for automatic generation control units in each time period, and assign respective weight coefficients to each time period according to the weight calculation results; The performance evaluation module is used to calculate the performance indicators of the automatic power generation control of the thermal power units on the day and the month based on the weight coefficients of each time period, and evaluate the automatic power generation control performance of each thermal power unit.

9. The thermal power unit regulation performance evaluation system according to claim 8, characterized in that: The data processing module includes: a data acquisition module and a value conversion module, wherein: The data acquisition module is used to obtain the actual regional to-be-allocated quantity data of the power grid by setting a dead zone for the regional control deviation data; The value conversion module is used to perform an absolute value operation on the acquired regional to-be-allocated quantity data, and use the regional to-be-allocated quantity data after the absolute value operation as the actual demand of the power grid for the automatic power generation control unit.

10. The thermal power unit regulation performance evaluation system according to claim 9, characterized in that: The calculation formula of the regional control deviation data is: ACE=10×B×(f-f0)+(P-P0) Wherein, ACE is the regional control deviation data; B is the frequency deviation coefficient; f is the actual frequency of the power grid; f0 is the rated frequency of the power grid; P is the actual value of the interconnection line exchange power; P0 is the actual value of the interconnection line exchange power.

11. The thermal power unit regulation performance evaluation system according to claim 8, characterized in that: The weight analysis module includes: a mean value calculation module and a weight calculation module, wherein: The mean value calculation module is used to calculate the hourly average value of the regional to-be-allocated quantity data in each hour after taking the absolute value based on the calculated actual demand of the automatic power generation control unit in combination with the time period distribution, and calculate the daily average value of the automatic power generation control demand of the day by integrating the average values ​​of all hours of the day; The weight calculation module is used to divide the hourly average value of each time period by the daily average value of the day to obtain the weight of the automatic power generation control action in each time period as the weight coefficient in the process of calculating the performance index in different time periods.

12. The thermal power unit regulation performance evaluation system according to claim 11, characterized in that: The calculation formula of the weight coefficient is: In the formula, x h is the weight coefficient of the hth time period; is the hourly average value of the automatic power generation control demand in the hth time period; It is the daily average value of the demand for automatic power generation control.

13. The thermal power unit regulation performance evaluation system according to claim 8, characterized in that: The performance evaluation module includes: an index calculation module and an index evaluation module, wherein: The index calculation module is used to obtain the regulation rate index, regulation accuracy index and corresponding time index of the thermal power unit, and calculate the performance index of the automatic power generation control of the thermal power unit in different time periods by multiplying the regulation rate index, regulation accuracy index and corresponding time index; The index evaluation module is used to calculate the daily average value and the monthly average value of the regulation performance of the performance index of the automatic power generation control action according to the performance index of the automatic power generation control of the thermal power unit in different time periods and the weight coefficient of each time period, and evaluate the automatic power generation control performance of each thermal power unit.

14. The thermal power unit regulation performance evaluation system according to claim 13, characterized in that: The calculation formula of the daily average value of the regulation performance is: In the formula, is the daily average value of regulation performance; x j,h It represents the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; is the performance index corresponding to the time period of the jth automatic generation control action of thermal power unit i on the day; n is the number of adjustments of the automatic generation control action on the day; The calculation formula of the monthly average value of the regulation performance is: In the formula, is the monthly average value of regulation performance; x j,d,h is the weight coefficient corresponding to the time period of the jth automatic generation control action of thermal power unit i on the dth day of this month; is the performance index of thermal power unit i corresponding to the time period of the jth automatic generation control action on the day; N is the number of adjustments of automatic generation control actions within this month.

15. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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