Hydropower station peak regulation range two-dimensional evaluation method, device, equipment and storage medium

Abstract

The water power station peak regulation range two-dimensional evaluation method, device, equipment and storage medium construct a complete technical process covering water power station basic benchmark parameter collection, actual adjustable capacity accounting, real peak regulation demand matching of power grid side, and double-dimensional comprehensive evaluation. Unlike the evaluation method relying only on rated installed capacity or single peak-valley difference index, the actual regulation capacity supply under the real-time running state of the water power station unit and the real peak regulation mileage demand corresponding to the load curve characteristics of the power grid are considered at the same time. The two-dimensional evaluation system is constructed combined with the rated installed capacity benchmark parameter, the accurate, comprehensive and three-dimensional evaluation of the water power station peak regulation range is realized, and the quantitative technical basis is provided for the scientific formulation of power grid dispatching plan, the deep mining of water power station operation benefit, and the improvement of new energy consumption capacity of power system.

Description

Technical Field

[0001] This application relates to the fields of power system dispatch automation and hydropower energy management, specifically to a two-dimensional assessment method, device, equipment, and storage medium for the peak-shaving range of a hydropower station. Background Technology

[0002] Currently, in the process of building a new power system, intermittent new energy sources such as wind power and photovoltaics are being connected to the grid on a large scale, leading to a continuous widening of the peak-to-valley load difference in the power grid and a significant increase in the demand for system peak-shaving and frequency regulation. Hydropower stations, with their technological advantages of rapid start-up and shutdown, fast regulation rate, and wide regulation range, have become the core power source in the power system, undertaking peak-shaving, frequency regulation, and reserve tasks. Accurate assessment of their peak-shaving magnitude is the core foundation and important prerequisite for the scientific formulation of power grid dispatching plans, the effective improvement of new energy absorption capacity, and the in-depth exploration of the operational benefits of hydropower stations.

[0003] In related technologies, the assessment of the peak-shaving capacity of hydropower stations often adopts a single assessment indicator and calculation method. Typically, the rated installed capacity of the hydropower station is used as the core parameter to calculate the theoretical peak-shaving capacity, or the peak-valley difference is calculated through the maximum and minimum loads of the daily load curve to characterize the peak-shaving range of the hydropower station and provide a reference for power grid dispatch and operation.

[0004] However, the assessment has shortcomings such as being detached from the actual operating conditions of hydropower stations, having a crude load curve processing, and having a single assessment dimension. It cannot accurately represent the upper limit of the actual regulation capacity that the power station can provide, nor can it accurately calculate the actual peak-shaving mileage requirement of the power grid, thus failing to achieve an accurate and comprehensive assessment of the peak-shaving range of hydropower stations. Summary of the Invention

[0005] This application provides a two-dimensional assessment method, device, equipment, and storage medium for the peak-shaving range of hydropower stations, which can solve the technical problems existing in related technologies, such as the assessment of the peak-shaving range of hydropower stations being divorced from actual operating conditions, the calculation of peak-shaving demand being distorted, and the assessment having a single dimension, making it impossible to achieve an accurate and comprehensive assessment of the peak-shaving range.

[0006] In a first aspect, embodiments of this application provide a two-dimensional assessment method for the peak-shaving range of a hydropower station, the two-dimensional assessment method for the peak-shaving range of a hydropower station comprising: Obtain the rated installed capacity parameters of the target hydropower station; Based on the real-time operating status of the hydropower station units, calculate the upper limit of the theoretical regulating mileage of the hydropower station within the target time period; Based on the load curve characteristics of hydropower stations, the actual peak-shaving mileage of hydropower stations within the target time period is calculated. The first-dimensional evaluation index is constructed by using the ratio of the actual peak-shaving mileage to the theoretical upper limit of the regulation mileage, which characterizes the utilization rate of the regulation capacity of hydropower stations. The ratio of actual peak-shaving mileage to rated installed capacity is used to construct a second-dimensional evaluation index to characterize the relative value of peak-shaving mileage of hydropower stations. Based on the first-dimensional and second-dimensional evaluation indicators, a two-dimensional evaluation function is constructed to complete the comprehensive evaluation of the peak-shaving capacity of the hydropower station. The first-dimensional evaluation index and the second-dimensional evaluation index are respectively used as the two coordinate axis parameters of the two-dimensional plane to construct the corresponding two-dimensional evaluation space; The actual calculation results of the first dimension evaluation index and the second dimension evaluation index are mapped to the two-dimensional evaluation space to determine the corresponding peak shaving evaluation points. Based on the distribution of the peak-shaving assessment points in the two-dimensional assessment space, a preset assessment interval is matched to complete a comprehensive assessment of the peak-shaving amplitude, regulation potential, and operational efficiency of the hydropower station.

[0007] In conjunction with the first aspect, in one implementation, calculating the theoretical upper limit of the hydropower station's regulating mileage within a target time period based on the real-time operating status of the hydropower station units includes: The target time period is divided into multiple consecutive sub-time periods. The unit parameters of the hydropower station in operation during each sub-time period are obtained, and the unit regulation capacity of the corresponding sub-time period is calculated. Obtain the regulation capacity limit of the automatic power generation control system of the hydropower station in each sub-period; Based on the unit regulation capacity and the regulation capacity limit of the automatic generation control system in each sub-period, the comprehensive regulation capacity of each sub-period is determined. The regulation mileage of each sub-period is calculated based on the comprehensive regulation capacity of each sub-period and the duration of the corresponding sub-period. By summing up the regulation mileage of all sub-periods, the theoretical upper limit of the regulation mileage of the hydropower station within the target period is obtained.

[0008] In conjunction with the first aspect, in one implementation, determining the comprehensive regulation capability for each sub-time period based on the unit regulation capability and the regulation capability limit of the automatic generation control system includes: The smaller value between the unit's regulation capacity and the automatic generation control system's regulation capacity limit within the same sub-period is taken as the comprehensive regulation capacity for that sub-period.

[0009] In conjunction with the first aspect, in one implementation method, calculating the actual peak-shaving mileage of the hydropower station within the target time period based on the load curve characteristics of the hydropower station includes: Obtain the load curve data of the hydropower station within the target time period; Identify and extract all local extreme points in the load curve to form a preliminary set of extreme points; The initial set of extreme points is corrected to obtain the corrected set of maxima and minima. Based on the corrected set of maxima and minima, the actual peak-shaving mileage of the hydropower station within the target time period is calculated.

[0010] In conjunction with the first aspect, in one implementation, the correction process for the preliminary set of extreme points includes: The extreme points corresponding to the flat segments of the load curve with continuous constant load are deduplicated, and only one extreme point is retained for the same flat segment. The extreme points at both ends of the load curve are weighted and the calculation weights of the corresponding extreme points are adjusted. After correcting all extreme points, they are classified according to their extreme value type, forming a corrected set of maxima and a set of minima.

[0011] Secondly, embodiments of this application provide a two-dimensional assessment device for the peak-shaving range of a hydropower station, the device comprising: The parameter acquisition module is used to acquire the rated installed capacity parameters of the target hydropower station. The theoretical regulation mileage calculation module is used to calculate the upper limit of the theoretical regulation mileage of the hydropower station within the target time period based on the real-time operating status of the hydropower station units. The actual peak-shaving mileage calculation module is used to calculate the actual peak-shaving mileage of hydropower stations within a target time period based on the load curve characteristics of hydropower stations. The two-dimensional evaluation module is used to construct a first-dimensional evaluation index based on the ratio of the actual peak-shaving mileage to the theoretical upper limit of the regulation mileage, representing the utilization rate of the hydropower station's regulation capacity; and to construct a second-dimensional evaluation index based on the ratio of the actual peak-shaving mileage to the rated installed capacity, representing the relative value of the hydropower station's peak-shaving mileage. Based on the first and second-dimensional evaluation indices, a two-dimensional evaluation function is constructed to complete the comprehensive evaluation of the hydropower station's peak-shaving amplitude. The first and second-dimensional evaluation indices are used as two coordinate axis parameters of a two-dimensional plane to construct a corresponding two-dimensional evaluation space. The actual calculation results of the first and second-dimensional evaluation indices are mapped to the two-dimensional evaluation space to determine the corresponding peak-shaving evaluation points. According to the distribution of the peak-shaving evaluation points in the two-dimensional evaluation space, a preset evaluation interval is matched to complete the comprehensive evaluation of the hydropower station's peak-shaving amplitude, regulation potential, and operational efficiency.

[0012] Thirdly, this application provides a two-dimensional assessment device for the peak-shaving range of a hydropower station. The device includes a processor, a memory, and a two-dimensional assessment program for the peak-shaving range of a hydropower station stored in the memory and executable by the processor. When the two-dimensional assessment program for the peak-shaving range of a hydropower station is executed by the processor, it implements the steps of the two-dimensional assessment method for the peak-shaving range of a hydropower station as described in some of the above embodiments.

[0013] Fourthly, embodiments of this application provide a computer-readable storage medium storing a two-dimensional evaluation program for the peak-shaving range of a hydropower station. When the two-dimensional evaluation program for the peak-shaving range of a hydropower station is executed by a processor, it implements the steps of the two-dimensional evaluation method for the peak-shaving range of a hydropower station as described in some of the above embodiments.

[0014] The beneficial effects of the technical solutions provided in this application include: A complete technical process has been established, covering the collection of basic benchmark parameters of hydropower stations, the calculation of their actual adjustable capacity, the matching of actual peak-shaving demand on the grid side, and a two-dimensional comprehensive evaluation. Unlike evaluation methods that rely solely on rated installed capacity or a single peak-valley difference index, this approach simultaneously considers the actual regulation capacity supply of hydropower station units under real-time operating conditions and the actual peak-shaving mileage demand corresponding to the characteristics of the grid load curve. By combining the rated installed capacity benchmark parameters to construct a two-dimensional evaluation system, this approach achieves a precise, comprehensive, and three-dimensional evaluation of the peak-shaving amplitude of hydropower stations. This provides a quantitative technical basis for the scientific formulation of grid dispatch plans, the in-depth exploration of the operational benefits of hydropower stations, and the improvement of the power system's new energy absorption capacity. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating an embodiment of the two-dimensional assessment method for peak-shaving range of hydropower stations according to this application; Figure 2 This is a schematic diagram of the hardware structure of the two-dimensional evaluation device for peak shaving amplitude of hydropower stations involved in the embodiments of this application. Detailed Implementation

[0016] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0017] This application provides a two-dimensional assessment method, device, equipment, and storage medium for the peak-shaving range of a hydropower station, which can solve the technical problems existing in related technologies, such as the assessment of the peak-shaving range of a hydropower station being detached from actual operating conditions, the calculation of peak-shaving demand being distorted, and the assessment having a single dimension, thus failing to achieve an accurate and comprehensive assessment of the peak-shaving range.

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0019] Firstly, embodiments of this application provide a two-dimensional evaluation method for the peak-shaving range of a hydropower station.

[0020] In one embodiment, reference is made to Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the two-dimensional assessment method for peak-shaving range of hydropower stations according to this application. Figure 1 As shown, the two-dimensional assessment method for the peak-shaving range of hydropower stations includes: S100: Obtain the rated installed capacity parameters of the target hydropower station; S200: Based on the real-time operating status of the hydropower station units, calculate the theoretical upper limit of the regulating mileage of the hydropower station within the target time period; S300: Based on the load curve characteristics of hydropower stations, calculate the actual peak-shaving mileage of hydropower stations within the target time period; S400: Based on the theoretical upper limit of the regulating mileage, the actual peak-shaving mileage, and the rated installed capacity, a two-dimensional evaluation system is constructed to complete the comprehensive evaluation of the peak-shaving range of the hydropower station.

[0021] In this embodiment, the rated installed capacity (Crated) of the target large hydropower station is taken as 2400MW, and the target time period is the 24-hour cycle corresponding to the hydropower station's dispatch and operation. Through four steps executed sequentially, a complete technical process is constructed, covering the collection of basic benchmark parameters of the hydropower station, the calculation of its actual adjustable capacity, the matching of the actual peak-shaving demand on the grid side, and the comprehensive evaluation in two dimensions. Unlike the existing technology that only relies on the rated installed capacity or a single peak-valley difference index for evaluation, this method simultaneously takes into account the actual adjustment capacity supply under the real-time operating state of the hydropower station units and the actual peak-shaving mileage demand corresponding to the characteristics of the grid load curve. By combining the rated installed capacity benchmark parameters to construct a two-dimensional evaluation system, a precise, comprehensive, and three-dimensional evaluation of the peak-shaving amplitude of the hydropower station is achieved. This provides a quantitative technical basis for the scientific formulation of grid dispatch plans, the in-depth exploration of the operating benefits of hydropower stations, and the improvement of the power system's new energy absorption capacity.

[0022] Furthermore, in one embodiment, step S200 includes the following steps: S201: Divide the target time period into multiple consecutive sub-time periods, obtain the unit parameters of the hydropower station in operation during each sub-time period, and calculate the unit regulation capacity of the corresponding sub-time period; S202: Obtain the regulation capacity limit of the automatic power generation control system of the hydropower station in each sub-period; S203: Determine the comprehensive regulation capacity for each sub-period based on the unit regulation capacity and the regulation capacity limit of the automatic generation control system. S204: Calculate the regulation mileage of each sub-period based on the comprehensive regulation capacity of each sub-period and the duration of the corresponding sub-period; S205: Accumulate the regulation mileage of all sub-periods to obtain the theoretical upper limit of the regulation mileage of the hydropower station within the target period.

[0023] In this embodiment, the target time period is the entire 24 hours of the day, which is divided into N consecutive time periods. Where i = 1, 2, ..., N, and the duration of each time period is... The unit is minutes, and the 24 hours of the day are divided into 96 equal periods, i.e., N=96, each period =15 minutes; each sub-period The corresponding mileage adjustment symbol is Its calculation formula is The symbol for the theoretical upper limit of the adjustment mileage within the target period is... The unit is MW, and its calculation formula is: Adjustment mileage for each sub-period within the 00:00-12:00 period =100MW / min × 15min = 1500MW, regulating mileage for each sub-period within the 12:00-24:00 period. =160MW / min × 15min = 2400MW; Regulating mileage for 96 sub-periods throughout the day By summing the results, we can obtain the theoretical upper limit of the regulating mileage of the target hydropower station for that day. =187200MW; Through the calculation in this step, the actual regulation constraints of the hydropower station unit's real-time operating conditions and the AGC system's automatic power generation control system can be closely matched, and the maximum regulation mileage limit that the hydropower station can provide within the target period can be accurately obtained, avoiding the problem of inflated regulation capacity assessment caused by the traditional method of only using the rated installed capacity for calculation.

[0024] Furthermore, in one embodiment, step S203 includes the following steps: S203-1: Take the smaller value between the unit's regulation capacity and the automatic generation control system's regulation capacity limit within the same sub-period as the comprehensive regulation capacity for that sub-period.

[0025] In this embodiment, the unit regulation capacity symbol corresponding to sub-time period i is: The unit is MW / min, calculated based on the number of units in operation and the rated regulating capacity of each unit during the sub-period; the symbol for the regulating capacity limit of the automatic generation control system is... The unit is MW / min, which is the maximum allowable regulation rate limit of the hydropower station's AGC system within this sub-period; the comprehensive regulation capacity of sub-period i is denoted by Pi, and its calculation formula is... =min( For example, during each sub-period from 00:00 to 12:00, the hydropower station has two generating units in operation and both are using AGC (Automatic Guided Vehicle) functionality. =100MW / min, =160MW / min, take the smaller of the two values ​​to get the time period. =100MW / min; During each sub-period from 12:00 to 24:00, four generating units of the hydropower station were in operation and all had AGC (Automatic Guided Vehicle) engaged. =200MW / min, =160MW / min, take the smaller of the two values ​​to get the time period. =160MW / min.

[0026] Furthermore, in one embodiment, step S300 includes the following steps: S301: Obtain the load curve data of the hydropower station within the target time period; S302: Identify and extract all local extreme points in the load curve to form a preliminary set of extreme points; S303: Correct the initial set of extreme points to obtain the corrected set of maxima and minima; S304: Calculate the actual peak-shaving mileage of hydropower stations within the target time period based on the corrected set of maximum and minimum values.

[0027] In this embodiment, the symbol for the load curve data sequence of the hydropower station within the target time period is: (t) represents the real-time load data of the hydropower station collected at preset time intervals within the target period. In this embodiment, a 15-minute interval is used for data collection. The obtained daily load data is shown in Table 1 below; the symbol for the actual peak-shaving mileage is... The unit is MW, and its calculation formula is: , where Maxj is the j-th maximum in the corrected maximum set, m is the total number of maximums, Mink is the k-th minimum in the corrected minimum set, and n is the total number of minimums; through the calculation in this step, the true peak-shaving mileage demand of complex load curves can be accurately reflected, solving the problem of the traditional peak-valley difference calculation method being rough in processing complex load curves and having biased evaluation results.

[0028]

[0029] Table 1 Furthermore, in one embodiment, step S303 includes the following steps: S303-1: Deduplication correction is performed on the extreme points corresponding to the straight segments with constant continuous load in the load curve, and only one extreme point is retained for the same straight segment. S303-2: Adjust the weights of the extreme points at both ends of the load curve and adjust the calculation weights of the corresponding extreme points. S303-3: After completing the correction of all extreme points, classify them according to the extreme value type to form the corrected set of maxima and set of minima.

[0030] In this embodiment, the flat segment correction is used to remove repeated extreme points in the load curve where the load remains unchanged for consecutive periods, avoiding repeated calculations of peak-shaving mileage; the endpoint correction is used to adjust the weight of the first and last extreme points of the load curve, dividing the value of such extreme points by 2 before including them in subsequent calculations, thus correcting the boundary effects of the beginning and end endpoints; the initially extracted maximum points include 1800MW, 2300MW, 2300MW, 2400MW, and 1000MW, and the minimum points include 600MW, 1100MW, 600MW, 1500MW, and 600MW; the load during the period from 03:15 to 04:45 is maintained For the 1800MW straight section, only one maximum value of 1800MW is retained, and other duplicate extreme values ​​are removed. The first extreme value of 600MW at 00:15 is adjusted to 300MW after endpoint correction; the last extreme value of 1000MW at 23:45 is adjusted to 500MW after endpoint correction. The corrected set of maximum values ​​is 1800MW, 2300MW, 2300MW, 2400MW, and 500MW, and the set of minimum values ​​is 300MW, 1100MW, 600MW, 1500MW, and 600MW. The actual peak-shaving mileage for the day is calculated based on the corrected set of extreme values. =2×[(1800+2300+2300+2400+500) (300+1100+600+1500+600)]=10400MW.

[0031] Furthermore, in one embodiment, S400 includes the following steps: S401: The ratio of the actual peak-shaving mileage to the theoretical upper limit of the regulation mileage is used to construct the first-dimensional evaluation index, which characterizes the utilization rate of the regulation capacity of the hydropower station. S402: The ratio of actual peak-shaving mileage to rated installed capacity is used to construct a second-dimensional evaluation index to characterize the relative value of peak-shaving mileage of hydropower stations. S403: Based on the first-dimensional evaluation indicators and the second-dimensional evaluation indicators, a two-dimensional evaluation function is constructed to complete the comprehensive evaluation of the peak-shaving range of the hydropower station.

[0032] In this embodiment, the first dimension evaluation index is denoted by 'a', and its calculation formula is a= / The second dimension evaluation indicator is denoted by b, and its calculation formula is b = / The constructed two-dimensional evaluation function is denoted as F(a, b). With indicators a and b as core parameters, it locates the peak-shaving performance of the hydropower station within the target time period in a two-dimensional plane. The calculated values ​​are: indicator a = 10400 / 187200 = 0.056, indicator b = 10400 / 2400 = 4.333, and the corresponding two-dimensional evaluation function is F(a, b) = (0.056, 4.333). By combining the two-dimensional indicators, it is possible to determine whether the load curve issued by the power grid is within the regulation capacity range of the hydropower station, and to evaluate the actual performance of the hydropower station in the peak-shaving task, thereby achieving a three-dimensional comprehensive evaluation of the peak-shaving range of the hydropower station.

[0033] Furthermore, in one embodiment, step S403 includes the following steps: S403-1: Use the first dimension evaluation index and the second dimension evaluation index as two coordinate axis parameters of the two-dimensional plane to construct the corresponding two-dimensional evaluation space; S403-2: Map the actual calculation results of the first dimension evaluation index and the second dimension evaluation index to the two-dimensional evaluation space to determine the corresponding peak-shaving evaluation points; S403-3: Based on the distribution of the peak-shaving assessment points in the two-dimensional assessment space, a preset assessment interval is matched to complete the comprehensive assessment of the peak-shaving amplitude, regulation potential and operational efficiency of the hydropower station.

[0034] In this embodiment, the two-dimensional evaluation space uses the first-dimensional evaluation index a as one coordinate axis and the second-dimensional evaluation index b as the other coordinate axis to form a two-dimensional plane for peak-shaving amplitude evaluation. The preset evaluation interval is pre-divided according to the grid dispatching needs and the operating characteristics of the hydropower station, and different intervals correspond to different peak-shaving performance types. The peak-shaving evaluation point of the target hydropower station is (0.056, 4.333), where index b is greater than 1, indicating that the peak-shaving mileage on that day exceeds the rated capacity level, and index a is extremely small, indicating that the peak-shaving capacity of the hydropower station has not been fully released. Based on the comprehensive judgment, the hydropower station exhibits the characteristics of short-term and deep regulation in the peak-shaving task on that day, and the regulation capacity has a large amount of redundancy, with great potential for peak-shaving.

[0035] Secondly, this application also provides a two-dimensional assessment device for the peak-shaving range of a hydropower station. The device includes: a parameter acquisition module for acquiring the rated installed capacity parameters of the target hydropower station; a theoretical regulation mileage calculation module for calculating the upper limit of the theoretical regulation mileage of the hydropower station within a target time period based on the real-time operating status of the hydropower station units; a real peak-shaving mileage calculation module for calculating the real peak-shaving mileage of the hydropower station within a target time period based on the load curve characteristics of the hydropower station; and a two-dimensional assessment module for constructing a two-dimensional assessment system based on the upper limit of the theoretical regulation mileage, the real peak-shaving mileage, and the rated installed capacity to complete a comprehensive assessment of the peak-shaving range of the hydropower station.

[0036] The functions of each module in the above-mentioned two-dimensional assessment device for peak shaving amplitude of hydropower stations correspond to the steps in the above-mentioned two-dimensional assessment method embodiment for peak shaving amplitude of hydropower stations, and their functions and implementation processes will not be described in detail here.

[0037] Thirdly, this application provides a two-dimensional assessment device for the peak-shaving range of a hydropower station. The two-dimensional assessment device for the peak-shaving range of a hydropower station can be a device with data processing capabilities, such as a personal computer (PC), a laptop computer, or a server.

[0038] Reference Figure 2 , Figure 2 This is a schematic diagram of the hardware structure of the two-dimensional peak-shaving amplitude assessment device for hydropower stations involved in the embodiments of this application. In this embodiment, the two-dimensional peak-shaving amplitude assessment device for hydropower stations may include a processor, a memory, a communication interface, and a communication bus.

[0039] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.

[0040] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces. These interfaces are used for interconnecting internal components of the two-dimensional peak-shaving assessment equipment for hydropower stations, as well as for interconnecting the equipment with other devices, such as other computing devices or user equipment. Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays (displays), keyboards, etc.

[0041] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0042] The processor can be a general-purpose processor, which can call the two-dimensional assessment program for the peak-shaving range of a hydropower station stored in memory and execute the two-dimensional assessment method for the peak-shaving range of a hydropower station provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the two-dimensional assessment program for the peak-shaving range of a hydropower station is called can refer to the various embodiments of the two-dimensional assessment method for the peak-shaving range of a hydropower station in this application, and will not be repeated here.

[0043] Those skilled in the art will understand that Figure 2 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0044] Fourthly, embodiments of this application also provide a readable storage medium.

[0045] This application stores a two-dimensional evaluation program for the peak shaving range of a hydropower station on a readable storage medium, wherein when the two-dimensional evaluation program for the peak shaving range of a hydropower station is executed by a processor, it implements the steps of the two-dimensional evaluation method for the peak shaving range of a hydropower station as described above.

[0046] The method implemented when the two-dimensional assessment procedure for the peak-shaving range of a hydropower station is executed can be referred to in the various embodiments of the two-dimensional assessment method for the peak-shaving range of a hydropower station in this application, and will not be repeated here.

[0047] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0048] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0049] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0050] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.

[0051] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0052] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0053] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A two-dimensional evaluation method for the peak-shaving range of a hydropower station, characterized in that, The two-dimensional assessment method for the peak-shaving range of hydropower stations includes: Obtain the rated installed capacity parameters of the target hydropower station; Based on the real-time operating status of the hydropower station units, calculate the upper limit of the theoretical regulating mileage of the hydropower station within the target time period; Based on the load curve characteristics of hydropower stations, the actual peak-shaving mileage of hydropower stations within the target time period is calculated. The first-dimensional evaluation index is constructed by using the ratio of the actual peak-shaving mileage to the theoretical upper limit of the regulation mileage, which characterizes the utilization rate of the regulation capacity of hydropower stations. The ratio of actual peak-shaving mileage to rated installed capacity is used to construct a second-dimensional evaluation index to characterize the relative value of peak-shaving mileage of hydropower stations. Based on the first-dimensional and second-dimensional evaluation indicators, a two-dimensional evaluation function is constructed to complete the comprehensive evaluation of the peak-shaving capacity of the hydropower station. The first-dimensional evaluation index and the second-dimensional evaluation index are respectively used as the two coordinate axis parameters of the two-dimensional plane to construct the corresponding two-dimensional evaluation space; The actual calculation results of the first dimension evaluation index and the second dimension evaluation index are mapped to the two-dimensional evaluation space to determine the corresponding peak shaving evaluation points. Based on the distribution of the peak-shaving assessment points in the two-dimensional assessment space, a preset assessment interval is matched to complete a comprehensive assessment of the peak-shaving amplitude, regulation potential, and operational efficiency of the hydropower station.

2. The two-dimensional assessment method for peak-shaving range of hydropower stations as described in claim 1, characterized in that, The calculation of the theoretical upper limit of the hydropower station's regulating mileage within the target time period based on the real-time operating status of the hydropower station units includes: The target time period is divided into multiple consecutive sub-time periods. The unit parameters of the hydropower station in operation during each sub-time period are obtained, and the unit regulation capacity of the corresponding sub-time period is calculated. Obtain the regulation capacity limit of the automatic power generation control system of the hydropower station in each sub-period; Based on the unit regulation capacity and the regulation capacity limit of the automatic generation control system in each sub-period, the comprehensive regulation capacity of each sub-period is determined. The regulation mileage of each sub-period is calculated based on the comprehensive regulation capacity of each sub-period and the duration of the corresponding sub-period. By summing up the regulation mileage of all sub-periods, the theoretical upper limit of the regulation mileage of the hydropower station within the target period is obtained.

3. The two-dimensional evaluation method for peak-shaving range of hydropower stations as described in claim 2, characterized in that, The determination of the comprehensive regulation capability for each sub-time period based on the unit regulation capability and the regulation capability limit of the automatic generation control system includes: The smaller value between the unit's regulation capacity and the automatic generation control system's regulation capacity limit within the same sub-period is taken as the comprehensive regulation capacity for that sub-period.

4. The two-dimensional assessment method for peak-shaving range of hydropower stations as described in claim 1, characterized in that, The calculation of the actual peak-shaving mileage of hydropower stations within the target time period based on the load curve characteristics of hydropower stations includes: Obtain the load curve data of the hydropower station within the target time period; Identify and extract all local extreme points in the load curve to form a preliminary set of extreme points; The initial set of extreme points is corrected to obtain the corrected set of maxima and minima. Based on the corrected set of maxima and minima, the actual peak-shaving mileage of the hydropower station within the target time period is calculated.

5. The two-dimensional evaluation method for peak-shaving range of hydropower stations as described in claim 4, characterized in that, The process of correcting the initial set of extreme points includes: The extreme points corresponding to the flat segments of the load curve with continuous constant load are deduplicated, and only one extreme point is retained for the same flat segment. The extreme points at both ends of the load curve are weighted and the calculation weights of the corresponding extreme points are adjusted. After correcting all extreme points, they are classified according to their extreme value type, forming a corrected set of maxima and a set of minima.

6. A two-dimensional assessment device for peak-shaving amplitude of a hydropower station, characterized in that, The two-dimensional assessment device for peak shaving range of the hydropower station includes: The parameter acquisition module is used to acquire the rated installed capacity parameters of the target hydropower station. The theoretical regulation mileage calculation module is used to calculate the upper limit of the theoretical regulation mileage of the hydropower station within the target time period based on the real-time operating status of the hydropower station units. The actual peak-shaving mileage calculation module is used to calculate the actual peak-shaving mileage of hydropower stations within a target time period based on the load curve characteristics of hydropower stations. The two-dimensional evaluation module is used to construct a first-dimensional evaluation index based on the ratio of the actual peak-shaving mileage to the theoretical upper limit of the regulation mileage, representing the utilization rate of the hydropower station's regulation capacity; and to construct a second-dimensional evaluation index based on the ratio of the actual peak-shaving mileage to the rated installed capacity, representing the relative value of the hydropower station's peak-shaving mileage. Based on the first and second-dimensional evaluation indices, a two-dimensional evaluation function is constructed to complete the comprehensive evaluation of the hydropower station's peak-shaving amplitude. The first and second-dimensional evaluation indices are used as two coordinate axis parameters of a two-dimensional plane to construct a corresponding two-dimensional evaluation space. The actual calculation results of the first and second-dimensional evaluation indices are mapped to the two-dimensional evaluation space to determine the corresponding peak-shaving evaluation points. According to the distribution of the peak-shaving evaluation points in the two-dimensional evaluation space, a preset evaluation interval is matched to complete the comprehensive evaluation of the hydropower station's peak-shaving amplitude, regulation potential, and operational efficiency.

7. A two-dimensional assessment device for peak-shaving amplitude of a hydropower station, characterized in that, The two-dimensional assessment device for peak shaving range of a hydropower station includes a processor, a memory, and a two-dimensional assessment program for peak shaving range of a hydropower station stored in the memory and executable by the processor. When the two-dimensional assessment program for peak shaving range of a hydropower station is executed by the processor, it implements the steps of the two-dimensional assessment method for peak shaving range of a hydropower station as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a two-dimensional evaluation program for the peak shaving range of a hydropower station, wherein when the two-dimensional evaluation program for the peak shaving range of a hydropower station is executed by a processor, it implements the steps of the two-dimensional evaluation method for the peak shaving range of a hydropower station as described in any one of claims 1 to 5.

Images