A unit capacity configuration method and device considering supply guarantee contribution, a terminal device and a storage medium

Abstract

The application discloses a kind of unit capacity configuration method and device considering supply contribution, terminal equipment and storage medium, belong to electric power system technical field, the method is: based on the rated installed capacity of each unit, the load curve of each period in typical day and the unit on-line state of each unit in each period in typical day, the standby rate of each period in typical day is calculated;Based on the rated installed capacity of each unit, the standby rate of each period in typical day and the output curve of each unit in each period in typical day, the contribution coefficient of each unit is calculated Supply, and combining capacity redundancy coefficient, the rated installed capacity of each unit and the load curve of each period in typical day, under each constraint, with the minimum capacity compensation cost as the goal, an optimization model is constructed and solved, to obtain the installed capacity declaration value of each unit, according to which the capacity configuration of each unit is determined. Through the implementation of the present application, the problem of mismatch between unit capacity configuration and power system demand in the prior art can be solved.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method, apparatus, terminal equipment, and storage medium for configuring unit capacity considering power supply contribution. Background Technology

[0002] Currently, with the integration of a high proportion of renewable energy, the reliability and adequacy of power supply in the power system face new challenges. Scientific and rational unit capacity configuration is crucial to ensuring the long-term safe and stable operation of the system. Current capacity configuration methods largely rely on static availability or simple reliability indicators, which are difficult to adapt to the dynamic operating characteristics of the new power system.

[0003] Specifically, existing technologies only evaluate the value of generating unit capacity based on static indicators, without considering the reserve level and load adequacy level of the power system. This fails to accurately reflect the actual supporting role of generating units in ensuring power supply at different times, resulting in a mismatch between capacity configuration and the actual needs of the system. This can easily lead to local capacity redundancy or insufficient supply, affecting the overall adequacy level and safe and stable operation of the system. Summary of the Invention

[0004] This invention provides a method, apparatus, terminal equipment, and storage medium for configuring generating capacity that takes into account the contribution to power supply. The method can solve the problem of mismatch between generating capacity configuration and power system demand in the prior art.

[0005] To address the aforementioned technical problems, one embodiment of the present invention provides a method for configuring unit capacity considering power supply contributions, comprising: Obtain the rated installed capacity of each unit in the power system, the load curves for each time period during a typical day, the output curves of each unit for each time period during a typical day, and the online status of the units; Based on the rated installed capacity of each unit, the load curves of each time period during a typical day, and the online status of each unit during each time period during a typical day, the reserve capacity of the power system during each time period during a typical day is calculated. The ratio of the reserve capacity to the load curve for each period of a typical day is calculated to obtain the reserve rate for each period of a typical day; wherein, the reserve rate is used to indicate the load adequacy level of the power system. Based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each period during a typical day, and the output curve of each unit during each period during a typical day, the supply guarantee contribution coefficient of each unit is calculated. Based on the power supply contribution coefficient and rated installed capacity of each unit, the load curves of typical intraday periods, and the capacity redundancy coefficient, an optimization model is constructed with the goal of minimizing capacity compensation costs under the constraints of installed capacity and planned capacity demand. Solve the optimization model to obtain the declared installed capacity value of each unit, and determine the capacity configuration of each unit based on the declared installed capacity value of each unit.

[0006] Furthermore, the calculation of the power system's reserve capacity for each typical day, based on the rated installed capacity of each unit, the load curves for each time period within a typical day, and the unit online status for each time period within a typical day, includes: Obtain the capacity factor of each unit at each time period during a typical day; Based on the capacity factor of each unit in each time period of a typical day, the rated installed capacity of each unit is corrected to obtain the upper limit of the available capacity of each unit in each time period of a typical day. Based on the available capacity limit of each unit in each time period of a typical day and the corresponding unit online status, the online capacity of the power system in each time period of a typical day is calculated. Based on the load curves and online capacity of the power system during each typical day, the reserve capacity of the power system during each typical day is calculated.

[0007] Furthermore, the calculation of the supply guarantee contribution coefficient of each unit based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each time period during a typical day, and the output curve of each unit during each time period during a typical day includes: Based on the preset capacity redundancy coefficient and the reserve rate of each time period within the typical day, the weight of each time period within the typical day is determined. Wherein, the weight Used to indicate the degree of risk to the power supply of the power system; Weights based on typical intraday time periods The output contribution of each unit is calculated by combining the output curves of each unit at different times during a typical day. Weights based on typical intraday time periods Determine the total weight for the entire time period; Based on the sum of the weights, the output contribution of each unit, and the rated installed capacity of each unit, the power supply contribution coefficient of each unit is calculated.

[0008] Furthermore, the process of constructing the planned capacity demand constraint includes: Based on the load curves of each time period within a typical day, the peak load of a typical day is determined; Based on the load peak and the capacity redundancy coefficient, the planned capacity demand of the capacity market is calculated. Based on the planned capacity demand of the capacity market, a planned capacity demand constraint is constructed with the equivalent capacity for supply guarantee of each unit as the constraint object; wherein, the equivalent capacity for supply guarantee is determined by the declared installed capacity value and supply guarantee contribution coefficient of each unit.

[0009] Furthermore, the planned capacity demand constraint is specifically as follows: ; In the formula, Indicates the unit The contribution coefficient of supply guarantee; Indicates the unit The declared installed capacity value; This indicates the planned capacity demand in the capacity market; Indicates the unit The equivalent capacity for ensuring supply.

[0010] Furthermore, the assembly capacity constraint of the aforementioned machine is specifically as follows: ; In the formula, Indicates the unit The declared installed capacity value; Indicates the unit The rated installed capacity; This indicates the total number of generating units in the power system.

[0011] Furthermore, the optimization model is specifically as follows: ; In the formula, This indicates the pre-set capacity of the generating units in the market. Capacity pricing; Indicates the unit The declared installed capacity value; This indicates the total number of generating units in the power system.

[0012] An embodiment of the present invention also provides a unit capacity configuration device that considers the contribution to power supply, including: a data acquisition module, a reserve capacity calculation module, a reserve rate calculation module, a power supply contribution coefficient calculation module, an optimization model construction module, and a model solving module; The data acquisition module is used to acquire the rated installed capacity of each unit in the power system, the load curve of each time period during a typical day, the output curve of each unit during each time period during a typical day, and the online status of the unit. The reserve capacity calculation module is used to calculate the reserve capacity of the power system during each period of a typical day based on the rated installed capacity of each unit, the load curve of each period of a typical day, and the online status of each unit during each period of a typical day. The reserve ratio calculation module is used to calculate the ratio of the reserve capacity to the load curve for each period of a typical day, and obtain the reserve ratio for each period of a typical day; wherein, the reserve ratio is used to indicate the load adequacy level of the power system; The power supply contribution coefficient calculation module is used to calculate the power supply contribution coefficient of each unit based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each period in a typical day, and the output curve of each unit in each period in a typical day. The optimization model construction module is used to construct an optimization model based on the power supply contribution coefficient and rated installed capacity of each unit, the load curve of each typical intraday period, and the capacity redundancy coefficient, with the goal of minimizing capacity compensation cost under the constraints of installed capacity and planned capacity demand. The model solving module is used to solve the optimization model, obtain the declared installed capacity value of each unit, and determine the capacity configuration of each unit based on the declared installed capacity value of each unit.

[0013] This application also provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the unit capacity configuration method that takes into account the contribution to supply guarantee as described in the above embodiments of the invention.

[0014] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the unit capacity configuration method considering supply guarantee contribution as described in the above embodiments of the invention.

[0015] The following benefits can be obtained by implementing the present invention: This invention provides a method, apparatus, terminal equipment, and storage medium for configuring generating unit capacity considering power supply contribution. The method first acquires the rated installed capacity of each generating unit in the power system, the load curves for each time period of a typical day, and the output curves and online status of each generating unit during each time period of a typical day. Then, based on the rated installed capacity of each generating unit, the load curves for each time period of a typical day, and the online status of each generating unit during each time period of a typical day, the reserve capacity of the power system during each time period is calculated. This quantifies the power supply margin of the power system during each time period, reflecting the sufficiency level of the power system. Next, the ratio of the reserve capacity to the load curves for each time period of a typical day is calculated to obtain the reserve rate for each time period of a typical day. Based on a preset capacity redundancy coefficient and the values ​​of each generating unit... By calculating the rated installed capacity, the reserve rate during typical days, and the output curves of each unit during typical days, the power supply contribution coefficient of each unit is obtained. This enables a dynamic and refined assessment of the power supply value of each unit, distinguishing the support capacity of different units during critical periods. Based on the power supply contribution coefficient of each unit, the rated installed capacity, the load curves during typical days, and the capacity redundancy coefficient, under the constraints of installed capacity and planned capacity demand, an optimization model is constructed and solved with the goal of minimizing capacity compensation costs. This yields the declared installed capacity value of each unit, and the capacity configuration of each unit is determined based on the declared installed capacity value. This makes the capacity configuration result more in line with the actual power supply needs of the system, improving the rationality of the power structure and the long-term safe and stable operation level of the system. Attached Figure Description

[0016] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a method for configuring unit capacity that considers supply guarantee contributions, provided in a certain embodiment of this application. Figure 2 This is a graph showing the system load curve versus the total output of the unit, provided in a certain embodiment of this application. Figure 3 This is a graph of the spare capacity curve and weight value provided in a certain embodiment of this application; Figure 4 This is a schematic diagram of the declared installed capacity, equivalent supply capacity, and supply contribution coefficient of each unit provided in a certain embodiment of this application; Figure 5 This is a schematic diagram of the structure of a unit capacity configuration device that takes into account the contribution to supply guarantee provided in a certain embodiment of this application; Figure 6 This is a schematic diagram of the structure of a terminal device provided in a certain embodiment of this application. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0020] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0023] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0024] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0025] See Figure 1 To address the mismatch between unit capacity configuration and power system demand in existing technologies, an embodiment of the present invention provides a unit capacity configuration method that considers power supply guarantee contributions, comprising: S1. Obtain the rated installed capacity of each unit in the power system, the load curves of each time period during a typical day, the output curves of each unit during each time period during a typical day, and the online status of the units. Specifically, the rated installed capacity of each unit in the power system is obtained to characterize the maximum power supply capacity of the units and the overall capacity supply level of the system. The unit is defined as follows: The rated installed capacity is ; Specifically, the output curves of each unit are obtained for each time period within a typical day to reflect the actual active power output characteristics of the units during each time period within a typical day. The unit is defined as follows: During the period The output curve is ; Specifically, load curves for each time period within a typical day are obtained to characterize the power system's electricity demand level during each time period of a typical day, providing a basis for reserve rate calculation and capacity demand assessment. This involves defining time periods. The load curve is ; Specifically, to characterize the dispatchable status and available capacity of generating units at different times during a typical day, the online status of each unit at different times during a typical day is obtained. The online status of the unit is used to characterize whether the unit is in an operational state and is a binary identifier variable. The unit is defined as follows. During the period The unit's online status is ; ; In the formula, This indicates the total number of time periods within a typical day; This indicates the total number of generating units in the power system.

[0026] S2. Based on the rated installed capacity of each unit, the load curves of each time period during a typical day, and the online status of each unit during each time period during a typical day, the reserve capacity of the power system during each time period during a typical day is calculated. To illustrate, after obtaining the rated installed capacity of each unit, the load curves for each period of a typical day, and the online status of each unit for each period of a typical day, it is necessary to calculate the online capacity of the power system for each period of a typical day. This quantifies the available capacity of the power system for each period of a typical day, and further calculates the reserve capacity of the power system for each period of a typical day, thus providing a basis for subsequent reserve rate calculation and power supply contribution assessment.

[0027] In a preferred embodiment, the calculation of the power system's reserve capacity for each typical day period, based on the rated installed capacity of each unit, the load curves for each typical day period, and the unit online status for each typical day period, includes: Obtain the capacity factor of each unit at each time period during a typical day; Based on the capacity factor of each unit in each time period of a typical day, the rated installed capacity of each unit is corrected to obtain the upper limit of the available capacity of each unit in each time period of a typical day. Based on the available capacity limit of each unit in each time period of a typical day and the corresponding unit online status, the online capacity of the power system in each time period of a typical day is calculated. Based on the load curves and online capacity of the power system during each typical day, the reserve capacity of the power system during each typical day is calculated. Schematic, firstly, the capacity factor of each unit is obtained for each time period within a typical day, where the unit is defined. During typical intraday hours The capacity factor is ; Specifically, for thermal power units, the output of thermal power units is stable and the regulation capability is reliable. They are not constrained by external weather conditions, so the capacity factor of thermal power units is set to 1. Specifically, for renewable energy units, the output characteristics of each renewable energy unit will change in real time with meteorological data (wind speed, light intensity, temperature, etc.), and cannot always maintain the rated output. Therefore, before calculating the reserve capacity of the power system in each period of a typical day, the staff will combine the meteorological data of each period of a typical day with the output characteristics of each renewable energy unit to predefine the capacity factor of each renewable energy unit in each period of a typical day.

[0028] Indicatively, based on the capacity factor of each unit during each time period of a typical day, the rated installed capacity of each unit is adjusted to obtain the upper limit of the available capacity of each unit during each time period of a typical day: Specifically, the calculation formulas for the upper limit of available capacity for each unit during each time period of a typical day are as follows: ; In the formula, Indicates the unit During typical intraday hours The maximum available capacity.

[0029] To illustrate, after determining the upper limit of available capacity for each unit in each time period of a typical day, it is necessary to calculate the online capacity of the power system in each time period of a typical day based on the upper limit of available capacity for each unit in each time period of a typical day and the corresponding online status of the unit. Specifically, the calculation formulas for the online capacity of the power system during different time periods of a typical day are as follows: ; In the formula, Indicates the power system during a typical intraday period Online capacity.

[0030] Indicatively, based on the load curves and online capacity of the power system during each period of a typical day, the reserve capacity of the power system during each period of a typical day is calculated. The reserve capacity reflects the power supply capacity that the power system can call upon in addition to meeting the load demand during a typical day, and is a key indicator for measuring the adequacy and safe operation level of the system. Specifically, the reserve capacity of the power system during each period of a typical day is calculated using the following formula: ; In the formula, Indicates the power system during a typical intraday period Reserve capacity.

[0031] S3. Calculate the ratio of the reserve capacity to the load curve for each period of a typical day to obtain the reserve rate for each period of a typical day; wherein, the reserve rate is used to indicate the load adequacy level of the power system; Indicative, when "Time" indicates a period of time. Even if all online units operate at their maximum available capacity, it is still insufficient to meet the demand during peak hours. To assess the load demand and the system's state of load shedding or load reduction, and to further measure the relative adequacy of the power system's reserves under different load levels, this embodiment introduces the reserve ratio: Specifically, the formulas for calculating the reserve ratio for each time period within a typical day are as follows: ; In the formula, Indicates typical intraday time period The reserve rate.

[0032] S4. Based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each period during a typical day, and the output curve of each unit during each period during a typical day, calculate the supply guarantee contribution coefficient of each unit. This embodiment illustrates the introduction of a capacity redundancy factor. (A positive integer) is compared with the calculated reserve ratio. When the reserve ratio... This indicates that the power system's reserve capacity and power supply capacity are relatively sufficient. This indicates that the power system's reserve capacity has been exhausted or is insufficient.

[0033] In a preferred embodiment, the calculation of the supply guarantee contribution coefficient of each unit based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each time period during a typical day, and the output curve of each unit during each time period during a typical day includes: Based on the preset capacity redundancy coefficient and the reserve rate of each time period within the typical day, the weight of each time period within the typical day is determined. Wherein, the weight Used to indicate the degree of risk to the power supply of the power system; Weights based on typical intraday time periods The output contribution of each unit is calculated by combining the output curves of each unit at different times during a typical day. Weights based on typical intraday time periods Determine the total weight for the entire time period; Based on the total weights, the output contribution of each unit, and the rated installed capacity of each unit, the supply guarantee contribution coefficient of each unit is calculated. Indicatively, the weights of each time period within a typical day are determined based on a preset capacity redundancy coefficient and the reserve rate for each time period within that typical day. ; Specifically, the weights of each time period within a typical day are determined using the following formula. : ; In the formula, Indicates typical intraday time period weight ; When the reserve rate hour, =0 indicates a time period With ample reserves, its weight in the assessment of its contribution to supply security is zero. hour, A value between 0 and 1 indicates the degree of risk in ensuring the power supply of the system.

[0034] Indicative, based on the weights of typical intraday time periods. The output contribution of each unit is calculated by combining the output curves of each unit at different times during a typical day. Specifically, the power output contribution of each unit is calculated using the following formula: ; In the formula, Indicates the unit Contributions made during a typical day; Indicative, based on the weights of typical intraday time periods. Determine the total weight for the entire time period; Specifically, the total weight for the entire time period is calculated using the following formula: ; In the formula, This represents the total weight across the entire time period; Indicatively, based on the sum of the weights, the output contribution of each unit, and the rated installed capacity of each unit, the supply guarantee contribution coefficient of each unit is calculated. Specifically, the power supply contribution coefficient of each unit is calculated using the following formula: ; In the formula, Indicates the unit The contribution coefficient of supply guarantee; Specifically, assuming the unit During periods of high reserve shortage or high risk of loss of load ( The closer the output of a larger (larger) power source is to its available capacity, the higher its contribution coefficient to ensuring supply. The higher; conversely, if the unit During periods of high reserve shortage or high risk of loss of load Frequent downtime or low output reduces its contribution to supply security. The lower the value, the better.

[0035] S5. Based on the supply guarantee contribution coefficient and rated installed capacity of each unit, the load curve of each typical day period, and the capacity redundancy coefficient, under the constraints of installed capacity and planned capacity demand, an optimization model is constructed with the goal of minimizing capacity compensation cost. To illustrate, in order to achieve a reasonable allocation of generating unit capacity while meeting the power system's power supply reliability and planned capacity requirements, an optimization model is constructed that takes into account both the contribution to power supply and the operational scenario, with the goal of minimizing capacity compensation costs and under the constraints of generating unit capacity and planned capacity requirements.

[0036] In a preferred embodiment, the process of constructing the planned capacity demand constraint includes: Based on the load curves of each time period within a typical day, the peak load of a typical day is determined; Based on the load peak and the capacity redundancy coefficient, the planned capacity demand of the capacity market is calculated. Based on the planned capacity demand of the capacity market, a planned capacity demand constraint is constructed with the equivalent capacity of each generating unit as the constraint object; wherein, the equivalent capacity is determined by the declared installed capacity and the supply contribution coefficient of each generating unit. Indicatively, based on the load curves of each time period within a typical day, the peak load of a typical day is determined, and then based on the peak load and the capacity redundancy coefficient, the planned capacity demand of the capacity market is calculated. Specifically, the formula for calculating the planned capacity demand of the capacity market is as follows: ; In the formula, This indicates the planned capacity demand in the capacity market; Then, based on the planned capacity demand of the capacity market, a planned capacity demand constraint is constructed with the equivalent supply capacity of each unit as the constraint object. Specifically, the unit The equivalent capacity for supply guarantee is defined as: ; In the formula, Indicates the unit The equivalent capacity for supply guarantee; Indicates the unit The declared installed capacity value; Indicates the unit The contribution coefficient of supply guarantee; In a preferred embodiment, the planned capacity demand constraint specifically includes: ; In the formula, Indicates the unit The contribution coefficient of supply guarantee; Indicates the unit The declared installed capacity value; This indicates the planned capacity demand in the capacity market; Indicates the unit The equivalent capacity for ensuring supply.

[0037] In a preferred embodiment, the assembly capacity constraint of the machine is specifically as follows: ; In the formula, Indicates the unit The declared installed capacity value; Indicates the unit The rated installed capacity; This indicates the total number of generating units in the power system; Specifically, the installed capacity constraint is used to restrict the upper limit of the declared installed capacity of each unit from exceeding the rated installed capacity of the corresponding unit.

[0038] S6. Solve the optimization model to obtain the declared installed capacity value of each unit, and determine the capacity configuration of each unit based on the declared installed capacity value of each unit. In a preferred embodiment, the optimization model is specifically: ; In the formula, This indicates the pre-set capacity of the generating units in the market. Capacity pricing; Indicates the unit The declared installed capacity value; This indicates the total number of generating units in the power system; st ; ; It should be noted that the capacity quotation is the unit capacity price declared by each unit in the capacity market, which is used to reflect the cost demands of the units participating in capacity allocation. Specifically, during the solution process, based on the constraints of the installed capacity of the generating units and the constraints of the planned capacity demand, the declared installed capacity value of each generating unit is obtained, and then the capacity configuration of each generating unit is determined according to the declared installed capacity value of each generating unit.

[0039] To better illustrate this application, the following is a computational example scenario: The daily load curves covering 24 time periods and relevant data for 5 generating units (3 coal-fired power units, 1 gas turbine unit, and 1 wind farm unit) were selected. The unit numbers, installed capacities, and market quotations are shown in Table 1.

[0040] Table 1 Capacity pricing is determined based on the cost levels and technical characteristics of different generating units, ensuring that the clearing results reflect the differences in supply guarantee contributions from traditional thermal power, flexible gas turbines, and fluctuating wind power. The load curve exhibits a double-peak characteristic, reflecting the typical pattern of actual weekday electricity demand in the provincial power grid. Capacity demand is set according to the system load peak plus a certain proportion of capacity redundancy factor. Set it to 0.15.

[0041] See Figure 2 , Figure 2 The graph displays the load curves and total generator output curves of the power system over 24 time periods on a typical day. The graph clearly shows that the load forms two peaks, one in the morning and one in the evening, while the total generator output curve generally rises and falls with the load. Near some peak periods, because the output of adjustable generators in the power system is already close to or has reached its available upper limit, the total generator output is still slightly lower than the load, resulting in periods of load shedding. At night and during periods of lower load, the total generator output is significantly lower than the installed capacity limit, indicating that the power system has ample reserve capacity. However, during periods of high load and double-peak operation, especially when wind power output is low and conventional generators are nearing full capacity, the system's supply and demand balance is relatively tight, leading to situations where reserves are close to zero or even load shedding. This provides a direct basis for constructing supply guarantee weights based on reserve capacity and also illustrates that static installed capacity alone cannot reflect the true supply guarantee pressure of the system under different load levels.

[0042] See Figure 3 , Figure 3 (a) shows the reserve capacity curve for a typical day; Figure 3 (b) illustrates the weight values ​​used to indicate the degree of power system supply risk, ranging from 0 to 1, reflecting the relative importance of each time period in the supply guarantee contribution assessment. During periods of low nighttime load, reserve capacity is much higher than zero, and the supply guarantee weight is close to 0, indicating that these periods have little impact on the supply guarantee capacity assessment. In the morning and evening peak areas where load gradually increases, reserve capacity decreases rapidly, approaching zero or even briefly turning negative, with the corresponding supply guarantee weight significantly increasing and approaching 1, indicating that these periods are critical moments for system supply guarantee. During periods of low wind power output and load close to peak, the reserve shortage is more prominent, and the weight value curve shows obvious peaks at these positions. Combining the two sub-figures, it can be seen that this invention transforms "high-risk periods where reserves are nearly exhausted" into mathematically quantifiable weight factors by mapping the reserve capacity curve to the weight values. Compared to traditional capacity demand determination methods based solely on peak load or static reliability indicators, this method can more accurately capture the temporal structure of reserve scarcity.

[0043] See Figure 4 The data displays the declared installed capacity, equivalent capacity for supply guarantee, and supply guarantee contribution coefficient for each unit. A bar chart comparing the declared installed capacity and equivalent capacity for supply guarantee shows that some conventional coal-fired and gas-fired power units have relatively high supply guarantee contribution coefficients. The effective capacity bar height is close to the bar height of the declared installed capacity, indicating that these units provide sufficient output during periods of tight reserve or high risk of load shedding, playing a strong supporting role in ensuring system supply. Therefore, in the capacity optimization and clearing process, they not only obtained larger declared installed capacity values ​​but also made significant contributions to the equivalent capacity.

[0044] Conversely, due to resource constraints on the output of wind power and other volatile units during critical high-risk periods, their contribution coefficient to ensuring supply is relatively low. Even if the number of declared installed capacity is fixed, their equivalent capacity for ensuring supply is significantly smaller than that of traditional units.

[0045] The varying heights of the black dots further reveal the relative positions of different generating units in terms of power supply guarantee: units with a power supply guarantee contribution coefficient close to 1 operate continuously online and at near full capacity during periods of tight reserve, serving as the "main force" for power supply guarantee in the power system; units with a medium power supply guarantee contribution coefficient participate in support during some high-risk periods, but are absent or have limited output during other critical periods; units with a low power supply guarantee contribution coefficient mainly operate during periods of smooth load or ample reserve, and have a smaller effect on alleviating the pressure of power supply guarantee during peak periods.

[0046] comprehensive Figure 4 It is evident that this invention enables the declared installed capacity to be better biased towards units that provide substantial supply guarantee capabilities during critical periods, thereby improving the overall supply security level of the system while keeping the total cost under control.

[0047] See Figure 5 This is an embodiment of the present invention providing a unit capacity configuration device that considers the contribution to power supply, comprising: The module includes a data acquisition module, a reserve capacity calculation module, a reserve rate calculation module, a supply guarantee contribution coefficient calculation module, an optimization model construction module, and a model solving module. The data acquisition module is used to acquire the rated installed capacity of each unit in the power system, the load curve of each time period during a typical day, the output curve of each unit during each time period during a typical day, and the online status of the unit. The reserve capacity calculation module is used to calculate the reserve capacity of the power system during each period of a typical day based on the rated installed capacity of each unit, the load curve of each period of a typical day, and the online status of each unit during each period of a typical day. The reserve ratio calculation module is used to calculate the ratio of the reserve capacity to the load curve for each period of a typical day, and obtain the reserve ratio for each period of a typical day; wherein, the reserve ratio is used to indicate the load adequacy level of the power system; The power supply contribution coefficient calculation module is used to calculate the power supply contribution coefficient of each unit based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each period in a typical day, and the output curve of each unit in each period in a typical day. The optimization model construction module is used to construct an optimization model based on the power supply contribution coefficient and rated installed capacity of each unit, the load curve of each typical intraday period, and the capacity redundancy coefficient, with the goal of minimizing capacity compensation cost under the constraints of installed capacity and planned capacity demand. The model solving module is used to solve the optimization model, obtain the declared installed capacity value of each unit, and determine the capacity configuration of each unit based on the declared installed capacity value of each unit.

[0048] In a preferred embodiment, the backup capacity calculation module is specifically used for: Obtain the capacity factor of each unit at each time period during a typical day; Based on the capacity factor of each unit in each time period of a typical day, the rated installed capacity of each unit is corrected to obtain the upper limit of the available capacity of each unit in each time period of a typical day. Based on the available capacity limit of each unit in each time period of a typical day and the corresponding unit online status, the online capacity of the power system in each time period of a typical day is calculated. Based on the load curves and online capacity of the power system during each typical day, the reserve capacity of the power system during each typical day is calculated.

[0049] In a preferred embodiment, the supply guarantee contribution coefficient calculation module is specifically used for: Based on the preset capacity redundancy coefficient and the reserve rate of each time period within the typical day, the weight of each time period within the typical day is determined. Wherein, the weight Used to indicate the degree of risk to the power supply of the power system; Weights based on typical intraday time periods The output contribution of each unit is calculated by combining the output curves of each unit at different times during a typical day. Weights based on typical intraday time periods Determine the total weight for the entire time period; Based on the sum of the weights, the output contribution of each unit, and the rated installed capacity of each unit, the power supply contribution coefficient of each unit is calculated.

[0050] Indicatively, the weights of each time period within a typical day are determined based on a preset capacity redundancy coefficient and the reserve rate for each time period within that typical day. ; Specifically, the weights of each time period within a typical day are determined using the following formula. : ; In the formula, Indicates typical intraday time period weight ; When the reserve rate hour, =0 indicates a time period With ample reserves, its weight in the assessment of its contribution to supply security is zero. hour, A value between 0 and 1 indicates the degree of risk in ensuring the power supply of the system.

[0051] Indicative, based on the weights of typical intraday time periods. The output contribution of each unit is calculated by combining the output curves of each unit at different times during a typical day. Specifically, the power output contribution of each unit is calculated using the following formula: ; In the formula, Indicates the unit Contributions made during a typical day; Indicative, based on the weights of typical intraday time periods. Determine the total weight for the entire time period; Specifically, the total weight for the entire time period is calculated using the following formula: ; In the formula, This represents the total weight across the entire time period; Indicatively, based on the sum of the weights, the output contribution of each unit, and the rated installed capacity of each unit, the supply guarantee contribution coefficient of each unit is calculated. Specifically, the power supply contribution coefficient of each unit is calculated using the following formula: ; In the formula, Indicates the unit The contribution coefficient of supply guarantee; Specifically, assuming the unit During periods of high reserve shortage or high risk of loss of load ( The closer the output of a larger (larger) power source is to its available capacity, the higher its contribution coefficient to ensuring supply. The higher; conversely, if the unit During periods of high reserve shortage or high risk of loss of load Frequent downtime or low output reduces its contribution to supply security. The lower the value, the better.

[0052] In a preferred embodiment, the optimization model construction module is specifically used for: Based on the load curves of each time period within a typical day, the peak load of a typical day is determined; Based on the load peak and the capacity redundancy coefficient, the planned capacity demand of the capacity market is calculated. Based on the planned capacity demand of the capacity market, a planned capacity demand constraint is constructed with the equivalent capacity for supply guarantee of each unit as the constraint object; wherein, the equivalent capacity for supply guarantee is determined by the declared installed capacity value and supply guarantee contribution coefficient of each unit.

[0053] Indicatively, based on the load curves of each time period within a typical day, the peak load of a typical day is determined, and then based on the peak load and the capacity redundancy coefficient, the planned capacity demand of the capacity market is calculated. Specifically, the formula for calculating the planned capacity demand of the capacity market is as follows: ; In the formula, This indicates the planned capacity demand in the capacity market; Then, based on the planned capacity demand of the capacity market, a planned capacity demand constraint is constructed with the equivalent supply capacity of each unit as the constraint object. Specifically, the unit The equivalent capacity for supply guarantee is defined as: ; In the formula, Indicates the unit The equivalent capacity for supply guarantee; Indicates the unit The declared installed capacity value; Indicates the unit The contribution coefficient of supply guarantee; In a preferred embodiment, the planned capacity demand constraint specifically includes: ; In the formula, Indicates the unit The contribution coefficient of supply guarantee; Indicates the unit The declared installed capacity value; This indicates the planned capacity demand in the capacity market; Indicates the unit The equivalent capacity for ensuring supply.

[0054] In a preferred embodiment, the assembly capacity constraint of the machine is specifically as follows: ; In the formula, Indicates the unit The declared installed capacity value; Indicates the unit The rated installed capacity; This indicates the total number of generating units in the power system.

[0055] In a preferred embodiment, the optimization model is specifically: ; In the formula, This indicates the pre-set capacity of the generating units in the market. Capacity pricing; Indicates the unit The declared installed capacity value; This indicates the total number of generating units in the power system.

[0056] See Figure 6 One embodiment of this application also provides a terminal device, including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the unit capacity configuration method that takes into account the contribution to supply guarantee as described above.

[0057] The processor controls the overall operation of the terminal device to complete all or part of the steps in the above-described unit capacity configuration method considering supply guarantee contributions. The memory stores various types of data to support the operation of the terminal device; this data may include, for example, instructions for any application or method operating on the terminal device, as well as application-related data. The memory can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0058] In an exemplary embodiment, the terminal device may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the unit capacity configuration method considering supply guarantee contributions as described in any of the foregoing embodiments, and to achieve the same technical effects as the methods described above.

[0059] In another exemplary embodiment, a computer-readable storage medium including a computer program is also provided. When executed by a processor, the computer program implements the steps of the unit capacity configuration method considering supply guarantee contributions as described in any of the foregoing embodiments. For example, the computer-readable storage medium may be the aforementioned memory including the computer program, which may be executed by a processor of a terminal device to complete the unit capacity configuration method considering supply guarantee contributions as described in any of the foregoing embodiments, and achieve the same technical effects as the aforementioned method.

[0060] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for configuring unit capacity considering contributions to power supply, characterized in that, include: Obtain the rated installed capacity of each unit in the power system, the load curves for each time period during a typical day, the output curves of each unit for each time period during a typical day, and the online status of the units; Based on the rated installed capacity of each unit, the load curves of each time period during a typical day, and the online status of each unit during each time period during a typical day, the reserve capacity of the power system during each time period during a typical day is calculated. The ratio of the reserve capacity to the load curve for each period of a typical day is calculated to obtain the reserve rate for each period of a typical day; wherein, the reserve rate is used to indicate the load adequacy level of the power system. Based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each period during a typical day, and the output curve of each unit during each period during a typical day, the supply guarantee contribution coefficient of each unit is calculated. Based on the power supply contribution coefficient and rated installed capacity of each unit, the load curves of typical intraday periods, and the capacity redundancy coefficient, an optimization model is constructed with the goal of minimizing capacity compensation costs under the constraints of installed capacity and planned capacity demand. Solve the optimization model to obtain the declared installed capacity value of each unit, and determine the capacity configuration of each unit based on the declared installed capacity value of each unit.

2. The unit capacity configuration method considering supply guarantee contribution as described in claim 1, characterized in that, The reserve capacity of the power system during each typical day is calculated based on the rated installed capacity of each unit, the load curves for each time period within a typical day, and the online status of each unit during each time period within a typical day. This includes: Obtain the capacity factor of each unit at each time period during a typical day; Based on the capacity factor of each unit in each time period of a typical day, the rated installed capacity of each unit is corrected to obtain the upper limit of the available capacity of each unit in each time period of a typical day. Based on the available capacity limit of each unit in each time period of a typical day and the corresponding unit online status, the online capacity of the power system in each time period of a typical day is calculated. Based on the load curves and online capacity of the power system during each typical day, the reserve capacity of the power system during each typical day is calculated.

3. The unit capacity configuration method considering supply guarantee contribution as described in claim 1, characterized in that, The power supply contribution coefficient of each unit is calculated based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each time period during a typical day, and the output curve of each unit during each time period during a typical day. This includes: Based on the preset capacity redundancy coefficient and the reserve rate of each time period within the typical day, the weight of each time period within the typical day is determined. Wherein, the weight Used to indicate the degree of risk to the power supply of the power system; Weights based on typical intraday time periods The output contribution of each unit is calculated by combining the output curves of each unit at different times during a typical day. Weights based on typical intraday time periods Determine the total weight for the entire time period; Based on the sum of the weights, the output contribution of each unit, and the rated installed capacity of each unit, the power supply contribution coefficient of each unit is calculated.

4. The unit capacity configuration method considering supply guarantee contribution as described in claim 1, characterized in that, The process of constructing the planned capacity demand constraints includes: Based on the load curves of each time period within a typical day, the peak load of a typical day is determined; Based on the load peak and the capacity redundancy coefficient, the planned capacity demand of the capacity market is calculated. Based on the planned capacity demand of the capacity market, a planned capacity demand constraint is constructed with the equivalent capacity for supply guarantee of each unit as the constraint object; wherein, the equivalent capacity for supply guarantee is determined by the declared installed capacity value and supply guarantee contribution coefficient of each unit.

5. The unit capacity configuration method considering supply guarantee contribution as described in claim 4, characterized in that, The planned capacity demand constraints are specifically as follows: ； In the formula, Indicates the unit The contribution coefficient of supply guarantee; Indicates the unit The declared installed capacity value; This indicates the planned capacity demand in the capacity market; Indicates the unit The equivalent capacity for ensuring supply.

6. The unit capacity configuration method considering supply guarantee contribution as described in claim 1, characterized in that, The assembly capacity constraint of the unit is specifically as follows: ; In the formula, Indicates the unit The declared installed capacity value; Indicates the unit The rated installed capacity; This indicates the total number of generating units in the power system.

7. The unit capacity configuration method considering supply guarantee contribution as described in claim 1, characterized in that, The optimization model is specifically as follows: ； In the formula, This indicates the pre-set capacity of the generating units in the market. Capacity pricing; Indicates the unit The declared installed capacity value; This indicates the total number of generating units in the power system.

8. A unit capacity configuration device that considers the contribution to supply guarantee, characterized in that, include: The module includes a data acquisition module, a reserve capacity calculation module, a reserve rate calculation module, a supply guarantee contribution coefficient calculation module, an optimization model construction module, and a model solving module. The data acquisition module is used to acquire the rated installed capacity of each unit in the power system, the load curve of each time period during a typical day, the output curve of each unit during each time period during a typical day, and the online status of the unit. The reserve capacity calculation module is used to calculate the reserve capacity of the power system during each period of a typical day based on the rated installed capacity of each unit, the load curve of each period of a typical day, and the online status of each unit during each period of a typical day. The reserve ratio calculation module is used to calculate the ratio of the reserve capacity to the load curve for each period of a typical day, and obtain the reserve ratio for each period of a typical day; wherein, the reserve ratio is used to indicate the load adequacy level of the power system; The power supply contribution coefficient calculation module is used to calculate the power supply contribution coefficient of each unit based on the preset capacity redundancy coefficient, the rated installed capacity of each unit, the reserve rate of each period in a typical day, and the output curve of each unit in each period in a typical day. The optimization model construction module is used to construct an optimization model based on the power supply contribution coefficient and rated installed capacity of each unit, the load curve of each typical intraday period, and the capacity redundancy coefficient, with the goal of minimizing capacity compensation cost under the constraints of installed capacity and planned capacity demand. The model solving module is used to solve the optimization model, obtain the declared installed capacity value of each unit, and determine the capacity configuration of each unit based on the declared installed capacity value of each unit.

9. A terminal device, characterized in that, include: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the unit capacity configuration method that takes into account supply guarantee contributions as described in any one of claims 1-7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the unit capacity configuration method that takes into account the contribution to supply guarantee as described in any one of claims 1-7.

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