New energy confidence capacity calculation method and device

Abstract

The present application relates to the technical field of power systems, and in particular to a method and device for calculating the confidence capacity of new energy sources, wherein the method comprises: constructing a new loss function for a target power system to evaluate the operational reliability of the target power system according to the new loss function; establishing a confidence capacity definition for a new energy station based on the new loss function to construct an implicit function expression of the confidence capacity of new energy sources according to the confidence capacity definition, wherein the confidence capacity is defined as the equivalent load-carrying capacity of a newly added new energy station when the target power system meets the target margin and the operational reliability remains unchanged; solving the implicit function expression of the confidence capacity of new energy sources through an iterative algorithm to calculate the confidence capacity of new energy sources of the target power system. The present application can calculate the confidence capacity of new energy sources while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the confidence capacity of new energy sources, and significantly reducing the time required for calculation.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method and device for calculating the confidence capacity of new energy sources. Background Art

[0002] Because renewable energy output is affected by weather, its timing is highly uncertain and volatile, making it difficult for it to provide the same reliable and stable output to the system as traditional units. The confidence capacity of renewable energy is used to characterize the contribution of a unit to the overall power supply margin of the system. Power supply margin characterizes the ability of the power system's power supply to meet load demands. Therefore, establishing a confidence capacity model for renewable energy output can reasonably assess the potential of renewable energy to contribute to the power balance in the power system, providing an important basis for effectively determining the installed capacity of renewable energy in power system planning. It is defined as the ideal unit capacity or equivalent load-carrying capacity that a renewable energy can equivalently replace while maintaining the system's reliability level.

[0003] In related technologies, the confidence capacity assessment of renewable energy systems primarily falls into two categories: probability distribution-based methods and analytical methods. Methods for calculating confidence capacity based on probability distribution can be roughly divided into two main categories. The first category calculates reliability indicators by establishing standardized classical probability distribution functions and then directly analytically calculates confidence capacity using the distribution function's parameters. The second category uses Monte Carlo simulations to sample a large number of system operating conditions and calculate reliability indicators, such as the expected energy not supplied (EENS). The advantages of Monte Carlo simulations lie in their clear physical meaning, simple calculations, and the ability to consider other system operating factors, such as power system dispatch rules. Analytical methods intuitively provide a calculation expression for confidence capacity. Analytical calculations of confidence capacity, along with theoretical assumptions for modeling the reliability function and approximate methods used in the solution process, yield an explicit expression for confidence capacity. This expression typically incorporates information such as the output characteristics of renewable energy units, load characteristics, and the existing power supply structure, facilitating intuitive analysis of influencing factors and changing trends. The analytical solution has the advantages of small computational complexity and fast solution.

[0004] However, the methods of calculating confidence capacity based on probability distribution in related technologies often have the defects of slow convergence speed and long calculation time. The analytical solution methods often have strong assumptions about the state of the power system. For example, it is assumed that the peak load level or capacity margin satisfies the normal distribution. Various approximate means are also used to solve the equations. For a high proportion of new energy power systems, analytical methods are prone to introduce large errors, and the accuracy of the calculation results is difficult to guarantee, which needs to be solved urgently. Summary of the Invention

[0005] The present application provides a method and device for calculating the confidence capacity of new energy sources to address the problems in related technologies such as slow convergence and long calculation time, strong assumptions about the state of the power system, which easily introduce large errors for power systems with a high proportion of new energy, and difficulty in ensuring the accuracy of the calculation results.

[0006] The first aspect of the present application provides a method for calculating new energy confidence capacity, including the following steps: constructing a new loss function for a target power system to evaluate the operational reliability of the target power system based on the new loss function; establishing a confidence capacity definition for a new energy station based on the new loss function to construct an implicit function expression for the new energy confidence capacity based on the confidence capacity definition, wherein the confidence capacity is defined as the equivalent load capacity of a newly added new energy station in the target power system when the target margin is met and the operational reliability remains unchanged; solving the implicit function expression for the new energy confidence capacity through an iterative algorithm to calculate the new energy confidence capacity of the target power system.

[0007] Optionally, in one embodiment of the present application, constructing a new loss function of the target power system includes: obtaining the load loss power of the target power system per unit time; and constructing the new loss function according to the load loss power per unit time.

[0008] Optionally, in one embodiment of the present application, the implicit function expression of the new energy confidence capacity is solved by an iterative algorithm to calculate the new energy confidence capacity of the target power system, including: collecting the new energy output information, power installed capacity information and load information of the target power system; and using the new energy output information, the power installed capacity information and the load information to calculate the actual new energy confidence capacity of the target power system.

[0009] Optionally, in one embodiment of the present application, the new loss function is:

[0010] ,

[0011] in, Indicates time period The system load level, is the output of the new energy station during this period, is the equivalent available output of all conventional units in the system, is the coefficient term of the loss function, For the indicator function, when the conditional statement If true, it is 1; otherwise, it is 0.

[0012] Optionally, in one embodiment of the present application, the implicit function expression of the new energy confidence capacity is:

[0013] ,

[0014] Among them, the right side of the equation is the total system loss function before the new energy station is built. The left side of the equation is the new energy and the corresponding increase The total loss function of the system after loading, where Indicates time period The system load level, is the confidence capacity of the new energy station, is the equivalent available output of all conventional units in the system, It is the output of the new energy station during that period.

[0015] The second aspect of the present application provides a new energy confidence capacity calculation device, including: a construction module for constructing a new loss function of a target power system to evaluate the operational reliability of the target power system based on the new loss function; an establishment module for establishing a confidence capacity definition of a new energy station based on the new loss function to construct an implicit function expression of the new energy confidence capacity based on the confidence capacity definition, wherein the confidence capacity is defined as the equivalent load capacity of a newly added new energy station when the power system meets the target margin and the operational reliability remains unchanged; a calculation module for solving the implicit function expression of the new energy confidence capacity through an iterative algorithm to calculate the new energy confidence capacity of the target power system.

[0016] Optionally, in one embodiment of the present application, the construction module includes: an acquisition unit for acquiring the load loss power of the target power system per unit time; and a construction unit for constructing the new loss function based on the load loss power per unit time.

[0017] Optionally, in one embodiment of the present application, the calculation module includes: a collection unit for collecting the new energy output information, power installed capacity information and load information of the target power system; a calculation unit for calculating the actual new energy confidence capacity of the target power system using the new energy output information, the power installed capacity information and the load information.

[0018] Optionally, in one embodiment of the present application, the new loss function is:

[0019] ,

[0020] in, Indicates time period The system load level, is the output of the new energy station during this period, is the equivalent available output of all conventional units in the system, is the coefficient term of the loss function, For the indicator function, when the conditional statement If true, it is 1; otherwise, it is 0.

[0021] Optionally, in one embodiment of the present application, the implicit function expression of the new energy confidence capacity is:

[0022] ,

[0023] Among them, the right side of the equation is the total system loss function before the new energy station is built. The left side of the equation is the new energy and the corresponding increase The total loss function of the system after loading, where Indicates time period The system load level, is the confidence capacity of the new energy station, is the equivalent available output of all conventional units in the system, It is the output of the new energy station during that period.

[0024] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the new energy confidence capacity calculation method as described in the above embodiment.

[0025] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned new energy confidence capacity calculation method.

[0026] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned new energy confidence capacity calculation method.

[0027] The embodiment of the present application can establish a new loss function and propose a new definition of new energy confidence capacity based on the new loss function, examine the equivalent load capacity of the new energy station under a certain system margin, and then calculate the confidence capacity of the new energy station based on the new definition of new energy confidence capacity and the actual information of the target power system. Thus, it is achieved that a new loss function is constructed through the load loss caused by the fluctuation of new energy, and a new definition of new energy confidence capacity is proposed based on the new loss function to examine the equivalent load capacity of the new energy station, and then the new energy confidence capacity is calculated while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the new energy confidence capacity, and at the same time greatly reducing the time required for calculation. Thus, it solves the problems that the methods for calculating the confidence capacity of new energy in the related art are either slow in convergence speed and long in calculation time, or have strong assumptions about the state of the power system, which are easy to introduce large errors for high-proportion new energy power systems, and the accuracy of the calculation results is difficult to guarantee.

[0028] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0030] Figure 1 A flowchart of a method for calculating a new energy confidence capacity according to an embodiment of the present application is provided;

[0031] Figure 2 This is a flowchart of a method for calculating the new energy confidence capacity under the new definition by using a dichotomy method according to one embodiment of the present application;

[0032] Figure 3 This is a flowchart of a method for calculating new energy confidence capacity based on a new loss function according to an embodiment of the present application;

[0033] Figure 4 A schematic diagram of the structure of a new energy confidence capacity calculation device provided according to an embodiment of the present application;

[0034] Figure 5 A schematic diagram of the structure of an electronic device provided according to an embodiment of the present application.

[0035] Reference numerals:

[0036] 10- New energy confidence capacity calculation device: 100- Construction module, 200- Establishment module and 300- Calculation module; 501- Memory, 502- Processor and 503- Communication interface. DETAILED DESCRIPTION

[0037] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0038] The following describes the method and device for calculating the confidence capacity of new energy in the embodiment of the present application with reference to the accompanying drawings. In view of the above-mentioned problems in the related art of calculating the confidence capacity of new energy in the background technology, there are defects such as slow convergence speed and long calculation time, or there are strong assumptions about the state of the power system, which are easy to introduce large errors for high-proportion new energy power systems, and the accuracy of the calculation results is difficult to guarantee. The present application provides a method for calculating the confidence capacity of new energy. In this method, a new loss function can be established and a new definition of the confidence capacity of new energy can be proposed based on the new loss function. The equivalent load capacity of the new energy station under a certain system margin is examined, and then the confidence capacity of the new energy station is calculated based on the new definition of the confidence capacity of new energy and the actual information of the target power system. Thus, a new loss function is constructed by the load loss caused by the fluctuation of new energy, and a new definition of the confidence capacity of new energy is proposed based on the new loss function to examine the equivalent load capacity of the new energy station, and then the confidence capacity of new energy is calculated while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the confidence capacity of new energy, while greatly reducing the time required for calculation. This solves the problems in related technologies of calculating the confidence capacity of new energy, such as slow convergence speed and long calculation time, strong assumptions about the state of the power system, which easily introduce large errors for power systems with a high proportion of new energy, and difficulty in ensuring the accuracy of the calculation results.

[0039] Specifically, Figure 1 This is a flowchart of a method for calculating the confidence capacity of a new energy source provided in an embodiment of the present application.

[0040] like Figure 1 As shown, the new energy confidence capacity calculation method includes the following steps:

[0041] In step S101 , a new loss function of a target power system is constructed to evaluate the operation reliability of the target power system according to the new loss function.

[0042] It's understandable that the target power system here refers to the power system for which the confidence capacity calculation for renewable energy is being performed. In some scenarios, thermal power generation is the absolute source of power system redundancy. Forced outages of thermal power plants are the primary cause of power shortages, and the expected load loss probability based on forced outages is the primary reliability metric. Therefore, traditional confidence capacity calculations are based on the assumption of equal reliability. While ensuring consistent reliability, they assess the ability of new units to replace thermal power capacity or their reliable load-carrying capacity.

[0043] However, in scenarios with a high penetration of renewable energy, renewable energy becomes the primary power source, while energy storage and new flexible loads become the primary sources of flexibility. The electricity gap will be primarily filled by flexible resources, and the cost of balancing load loss generally exhibits a quadratic relationship with the amount of power lost. In this context, it is crucial to adopt reasonable generalized risk indicators to support confidence capacity assessments for high-provision renewable energy scenarios.

[0044] In some embodiments, the present application can construct a new loss function that can evaluate the operational reliability of the power system in a scenario with a high proportion of new energy grid connection, establish a new generalized reliability meaning, use the load loss caused by new energy fluctuations as a loss function, get rid of the dependence of traditional new energy confidence capacity assessment on the status of existing thermal power units, simplify the output mode of conventional units, and convert the power imbalance part into a new loss function in quadratic form.

[0045] Next, the construction process of the new loss function in the embodiment of the present application is further explained.

[0046] Optionally, in one embodiment of the present application, constructing a new loss function for the target power system includes: obtaining the load loss power of the target power system per unit time; and constructing a new loss function based on the load loss power per unit time. The new loss function can be, but is not limited to, expressed as:

[0047]

[0048] in, Indicates time period The system load level, is the output of the new energy station during this period, is the equivalent available output of all conventional units in the system, is the coefficient term of the loss function, For the indicator function, when the conditional statement If true, it is 1; otherwise, it is 0.

[0049] In actual implementation, this application establishes a new loss function for evaluating the reliability of power system operation, primarily but not limited to utilizing the target power system's load loss per unit time. The target power system's load loss per unit time can be understood as the total amount of electricity that cannot be met by user loads due to insufficient power generation capacity or transmission failures within a given time period (e.g., one hour, one day, etc.).

[0050] For example, for each evaluation period of the target power system operational reliability This application can use the quadratic function of the load loss at each moment as a new loss function to evaluate the reliability of power system operation. , the formula can be expressed as follows but is not limited to:

[0051] (1)

[0052] in, Indicates the load level of the power system during this period. is the output of the new energy station during this period, The equivalent available output of all conventional units in the system can be used to characterize the redundancy level of the power system. It can be calculated by multiplying the installed capacity of the conventional units in the system by (1 Forced outage rate) and then add them together to get, is the coefficient term of the loss function, For the indicator function, when the conditional statement If true, it is 1; otherwise, it is 0.

[0053] The total loss function of the power system is obtained by summing up the loss functions of all evaluation periods, such as 8760 hours in a year. The formula can be, but is not limited to, the following:

[0054] (2)

[0055] in, This is the total loss function of the system.

[0056] It should be noted that, in the embodiment of the present application, the loss function of the power system before the new (newly added) new energy station is built can be expressed by, but not limited to, the following formula:

[0057] (3)

[0058] in, This is the total system loss function before the new energy station is built.

[0059] In addition to being used to evaluate the operational reliability of the target power system, the new loss function of the embodiment of the present application can also be used as a loss function benchmark value for evaluating the equivalent load capacity of the target power system after a new energy station is newly built in the subsequent process.

[0060] Step S102: Based on the new loss function, a confidence capacity definition for the new energy station is established to construct an implicit function expression for the confidence capacity of the new energy station based on the confidence capacity definition. The confidence capacity is defined as the equivalent load capacity of the newly added new energy station when the power system meets the target margin and the operational reliability remains unchanged. The implicit function expression for the confidence capacity of the new energy station can be, but is not limited to, expressed as:

[0061] ,

[0062] Among them, the right side of the equation is the total system loss function before the new energy station is built. The left side of the equation is the new energy and the corresponding increase Total system loss function after loading; Indicates time period The system load level, is the confidence capacity of the new energy station, is the equivalent available output of all conventional units in the system, It is the output of the new energy station during that period.

[0063] It's understood that renewable energy confidence capacity refers to the maximum power supply capacity that renewable energy can provide at a certain guaranteed rate, taking into account uncertainties in the power system (such as load fluctuations, equipment failures, and fluctuations in renewable energy output). It reflects the ability of renewable energy to maintain stable operation and meet user needs despite various uncertainties. Equivalent load capacity measures the ability of a renewable energy site or power system to provide stable power under specific conditions.

[0064] In the traditional credible capacity definition framework, the confidence level of renewable energy is significantly affected by the overall installed capacity availability of the system. For example, in systems with low wind power availability, the confidence level of wind power is often greater than 15%, while in systems with high availability, the confidence level saturates significantly, often reaching values ​​less than 10% or even 5%. In traditional power systems, renewable energy is positioned as a "supplementary energy source," meaning that the power system can achieve power balance even without renewable energy, meaning that renewable energy has little impact on availability. Furthermore, considering that renewable energy plays an important, even decisive, role in power balance in new power systems, the definition of system confidence level should include a system availability benchmark, allowing the confidence level of renewable energy to accommodate a wide range of renewable energy proportions.

[0065] As a possible implementation method, the embodiment of the present application can propose a new definition and solution for the new energy confidence capacity of the target power system based on the constructed new loss function, so that the definition and solution of the new energy confidence capacity are more widely applicable. Among them, the definition of the confidence capacity of the new energy station can be understood here as the equivalent load capacity of the new energy station added when the target power system meets the target margin level and the operational reliability remains unchanged.

[0066] The target margin level here refers to a certain margin level that the target power system should meet before and after the addition of new energy stations. In the new loss function of the embodiment of the present application, the parameter express.

[0067] When solving the new energy confidence capacity based on the new definition of the new energy confidence capacity, the embodiment of the present application can construct an implicit function expression of the new energy confidence capacity based on the equal loss function based on the characteristic that the operating reliability of the target power system in the new definition remains unchanged, and then solve the new energy confidence capacity through the implicit function expression of the new energy confidence capacity.

[0068] Specifically, the embodiment of the present application can use the level of equivalent new load allowed after the target power system newly adds a new energy station as the confidence capacity of the new energy station. That is, after the target power system adds a new energy station and a certain load, when the new load reaches a certain value, the reliability of operation, that is, the new loss function, is equal to that before the new energy station and load are added. At this time, the load value is the confidence capacity of the new energy station, which is the equivalent load-carrying capacity in the embodiment of the present application.

[0069] The implicit function expression of the new energy confidence capacity finally obtained can be expressed as follows, but is not limited to:

[0070] (4)

[0071] in, is the confidence capacity of the new energy station, which is a variable to be solved; the right side of the equation is the total system loss function before the new energy station is built, that is, , which can be used as a reference value in the embodiment of this application; the left side of the equation is the newly built new energy, and the corresponding increase Total system loss function after loading.

[0072] As shown in formula (4), the embodiment of the present application establishes a confidence capacity including new energy stations The implicit function expression of is obtained, and by solving this formula, the new energy confidence capacity of the target power system can be obtained.

[0073] Step S103 : solving the implicit function expression of the new energy confidence capacity by an iterative algorithm to calculate the new energy confidence capacity of the target power system.

[0074] Based on the relevant descriptions of other embodiments, it can be understood that the embodiment of the present application establishes an implicit function expression of the new energy confidence capacity. If you want to solve the new energy confidence capacity, you need to solve the implicit function expression of the new energy confidence capacity.

[0075] In some embodiments, the embodiments of the present application may, but are not limited to, construct an iterative bisection method to solve the function and calculate the new energy confidence capacity. Figure 2 This is a flowchart of solving the implicit function expression of the new energy confidence capacity by the dichotomy method according to one embodiment of the present application, as shown in FIG. Figure 2 As shown, the specific process may include but is not limited to the following steps:

[0076] (1) Input system information and set the solution error: Set the system load curve to , the equivalent reliable output of conventional units is , the output curve of the new energy station is , the given error is ;

[0077] (2) Initialize iterative parameters: Initialize the lower bound of the confidence capacity of the new energy station to , the upper bound of the initial confidence capacity is the maximum value of the annual output curve of the new energy station , initialize the number of iterations ;

[0078] (3) According to formula (3), calculate the total system loss function when the original system does not contain new energy stations, that is, only conventional power stations are installed ;

[0079] (4) Calculate the first The confidence capacity obtained by the iteration , based on the new loss function calculation method in the embodiment of the present application, calculate the corresponding system loss function: let The confidence capacity of the iteration is At the same time, based on the annual output curve of the new energy station and the system load curve, the system loss function represented by the left-hand term in formula (4) after considering the new energy output and its corresponding load capacity is calculated and recorded as ;

[0080] (5) Judgment If the result is false, Greater than , go to step (6), otherwise, go to step (9);

[0081] (6) Judgment Is the result true? If the result is true, , then go to step (7), otherwise, go to step (8);

[0082] (7) Update the confidence capacity lower bound , and update the number of iterations , return to step (4);

[0083] (8) Update the upper bound of confidence capacity , and update the number of iterations , return to step (4);

[0084] (9) The algorithm converges and the calculation ends. As the result of the new energy confidence capacity calculation, return as the number of algorithm iterations.

[0085] Optionally, in one embodiment of the present application, the implicit function expression of the new energy confidence capacity is solved by an iterative algorithm to calculate the new energy confidence capacity of the target power system, including: collecting the new energy output information, power installed capacity information and load information of the target power system; using the new energy output information, power installed capacity information and load information to determine the actual new energy confidence capacity of the target power system.

[0086] During the actual implementation process, when evaluating the new energy confidence capacity of the target power system, this application will conduct a comprehensive evaluation based on different calculation examples and actual grid conditions of the target power system, thereby effectively improving the accuracy of the evaluation results of the new energy confidence capacity.

[0087] In the embodiment of the present application, it is possible but not limited to collecting the new energy output information, conventional power installed capacity information and load information of the target power system to calculate the new energy confidence capacity newly defined in the embodiment of the present application.

[0088] For example, this application can collect information on conventional power generation capacity and annual load data based on the actual calculation system or actual power grid conditions of the target power system. Based on the different renewable energy installed capacities under different planning schemes, the confidence capacity under different renewable energy installed capacities can be calculated. Furthermore, based on the renewable energy confidence capacity defined in the embodiments of this application, the contribution of renewable energy installed capacity to the system power balance under different planning schemes can be evaluated.

[0089] The following is a detailed description of the new energy confidence capacity calculation method in the embodiment of the present application using a specific embodiment.

[0090] Figure 3 This is a flow chart of a method for calculating the confidence capacity of a new energy source based on a new loss function according to an embodiment of the present application. Figure 3 As shown:

[0091] Step S301, establishing a new loss function for evaluating the reliability of power system operation;

[0092] Step S302: Propose a definition of new energy confidence capacity based on a new loss function, construct an implicit function expression of new energy confidence capacity based on an equivalent loss function, and use the equivalent loss function to evaluate the equivalent load capacity of the system after the new energy station is newly built;

[0093] Step S303, establishing an algorithm for solving the equal loss function expression based on the bisection method;

[0094] Step S304: collect new energy output information, conventional power installed capacity information, and load information, and calculate the new energy confidence capacity under the new definition.

[0095] According to the new energy confidence capacity calculation method proposed in the embodiment of the present application, a new loss function can be established and a new definition of new energy confidence capacity can be proposed based on the new loss function. The equivalent load capacity of the new energy station under a certain system margin is examined, and then the confidence capacity of the new energy station is calculated based on the new definition of new energy confidence capacity and the actual information of the target power system. Thus, it is achieved that a new loss function is constructed through the load loss caused by the fluctuation of new energy, and a new definition of new energy confidence capacity is proposed based on the new loss function to examine the equivalent load capacity of the new energy station, and then the new energy confidence capacity is calculated while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the new energy confidence capacity, and at the same time greatly reducing the time required for calculation. Thus, the problems of the method for calculating the confidence capacity of new energy in the related art, such as slow convergence speed and long calculation time, or strong assumptions about the state of the power system, are easily introduced into large errors for high-proportion new energy power systems, and the accuracy of the calculation results is difficult to guarantee, are solved.

[0096] Next, a new energy confidence capacity calculation device proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0097] Figure 4 It is a structural diagram of the new energy confidence capacity calculation device according to an embodiment of the present application.

[0098] like Figure 4 As shown, the new energy confidence capacity calculation device 10 includes: a construction module 100 , a creation module 200 and a calculation module 300 .

[0099] The construction module 100 is used to construct a new loss function of the target power system to evaluate the operation reliability of the target power system according to the new loss function.

[0100] Establish module 200, which is used to establish the confidence capacity definition of the new energy station using the target equal loss function, so as to construct the implicit function expression of the new energy confidence capacity according to the confidence capacity definition, wherein the confidence capacity is defined as the equivalent load capacity of the newly added new energy station when the target power system meets the target margin and the operating reliability remains unchanged.

[0101] The calculation module 300 is used to solve the implicit function expression of the new energy confidence capacity through an iterative algorithm to calculate the new energy confidence capacity of the target power system.

[0102] Optionally, in one embodiment of the present application, the construction module 100 includes: an acquisition unit and a construction unit.

[0103] The acquisition unit is used to acquire the load loss power of the target power system per unit time.

[0104] The construction unit is used to construct a new loss function according to the load loss power per unit time.

[0105] Optionally, in one embodiment of the present application, the calculation module 300 includes: a collection unit and a determination unit.

[0106] The acquisition unit is used to collect the new energy output information, power installed capacity information and load information of the target power system;

[0107] The determination unit is used to calculate the actual renewable energy confidence capacity of the target power system by using renewable energy output information, power installed capacity information and load information.

[0108] Optionally, in one embodiment of the present application, the new loss function can be expressed as, but not limited to:

[0109]

[0110] in, Indicates the load level of the power system during this period. is the output of the new energy station during this period, is the equivalent available output of all conventional units in the system, is the coefficient term of the loss function, For the indicator function, when the conditional statement If true, it is 1; otherwise, it is 0.

[0111] Optionally, in one embodiment of the present application, the implicit function expression of the new energy confidence capacity can be, but is not limited to, expressed as:

[0112] ,

[0113] Among them, the right side of the equation is the total system loss function before the new energy station is built. The left side of the equation is the new energy and the corresponding increase The total loss function of the system after loading, where Indicates time period The system load level, is the confidence capacity of the new energy station, is the equivalent available output of all conventional units in the system, It is the output of the new energy station during that period.

[0114] It should be noted that the above explanation of the embodiment of the new energy confidence capacity calculation method is also applicable to the new energy confidence capacity calculation device of this embodiment, and will not be repeated here.

[0115] According to the new energy confidence capacity calculation device proposed in the embodiment of the present application, a new loss function can be established and a new definition of new energy confidence capacity can be proposed based on the new loss function. The equivalent load capacity of the new energy station under a certain system margin can be examined, and then the confidence capacity of the new energy station can be calculated based on the new definition of new energy confidence capacity and the actual information of the target power system. Thus, it is realized that a new loss function is constructed through the load loss caused by the fluctuation of new energy, and a new definition of new energy confidence capacity is proposed based on the new loss function to examine the equivalent load capacity of the new energy station, and then the new energy confidence capacity is calculated while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the new energy confidence capacity, and at the same time greatly reducing the time required for calculation. Thus, the method of calculating the confidence capacity of new energy in the related art is solved, or there are defects such as slow convergence speed and long calculation time, or there are strong assumptions about the state of the power system, which is easy to introduce large errors for high-proportion new energy power systems, and the accuracy of the calculation results is difficult to guarantee.

[0116] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0117] Memory 501 , processor 502 , and computer programs stored in the memory 501 and executable on the processor 502 .

[0118] When the processor 502 executes the program, the new energy confidence capacity calculation method provided in the above embodiment is implemented.

[0119] Furthermore, the electronic device further includes:

[0120] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0121] The memory 501 is used to store computer programs that can be run on the processor 502 .

[0122] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0123] If the memory 501, processor 502, and communication interface 503 are implemented independently, the communication interface 503, memory 501, and processor 502 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be divided into address buses, data buses, control buses, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0124] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0125] The processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0126] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned new energy confidence capacity calculation method.

[0127] An embodiment of the present application also provides a computer program product, including a computer program, which can run computer instructions. When the computer instructions are executed by a processor, the new energy confidence capacity calculation method provided in the embodiment of the present application is implemented.

[0128] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0129] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0130] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0131] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" is any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (not exhaustive) of computer-readable media include: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0132] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented using hardware, as in another embodiment, it can be implemented using any one or a combination of the following technologies known in the art: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0133] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0134] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0135] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for calculating the confidence capacity of new energy, characterized in that: The following steps are involved: constructing a new loss function of a target power system to evaluate the operation reliability of the target power system according to the new loss function; Based on the new loss function, a confidence capacity definition of a new energy station is established, so as to construct an implicit function expression of the confidence capacity of the new energy station according to the confidence capacity definition, wherein the confidence capacity is defined as the equivalent load capacity of the newly added new energy station when the target power system meets the target margin and the operational reliability remains unchanged; Solving the implicit function expression of the new energy confidence capacity by an iterative algorithm to calculate the new energy confidence capacity of the target power system; Among them, the new loss function is: ， in, Indicates time period The system load level, is the output of the new energy station during this period, is the equivalent available output of all conventional units in the system, is the coefficient term of the loss function, For the indicator function, when the conditional statement If it is true, it is 1, otherwise it is 0; Among them, the implicit function expression of the new energy confidence capacity is: ， Among them, the right side of the equation is the total system loss function before the new energy station is built. The left side of the equation is the new energy and the corresponding increase The total loss function of the system after loading, where Indicates time period The system load level, is the confidence capacity of the new energy station, is the equivalent available output of all conventional units in the system, It is the output of the new energy station during that period.

2. The method according to claim 1, characterized in that The novel loss function for constructing the target power system includes: Obtaining the load loss power of the target power system per unit time; The new loss function is constructed according to the load loss power within the unit time.

3. The method according to claim 1, characterized in that Solving the implicit function expression of the new energy confidence capacity by an iterative algorithm to calculate the new energy confidence capacity of the target power system includes: Collecting renewable energy output information, power installed capacity information, and load information of the target power system; The actual new energy confidence capacity of the target power system is calculated using the new energy output information, the power installed capacity information, and the load information.

4. A new energy confidence capacity calculation device, characterized in that: include: A construction module, configured to construct a new loss function of a target power system, so as to evaluate the operation reliability of the target power system according to the new loss function; An establishment module is used to establish a confidence capacity definition of a new energy station based on the new loss function, so as to construct an implicit function expression of the confidence capacity of the new energy station according to the confidence capacity definition, wherein the confidence capacity is defined as the equivalent load capacity of the newly added new energy station when the target power system meets the target margin and the operation reliability remains unchanged; a calculation module, configured to solve the implicit function expression of the new energy confidence capacity by an iterative algorithm to calculate the new energy confidence capacity of the target power system; Among them, the new loss function is: ， in, Indicates time period The system load level, is the output of the new energy station during this period, is the equivalent available output of all conventional units in the system, is the coefficient term of the loss function, For the indicator function, when the conditional statement If it is true, it is 1, otherwise it is 0; Among them, the implicit function expression of the new energy confidence capacity is: ， Among them, the right side of the equation is the total system loss function before the new energy station is built. The left side of the equation is the new energy and the corresponding increase The total loss function of the system after loading, where Indicates time period The system load level, is the confidence capacity of the new energy station, is the equivalent available output of all conventional units in the system, It is the output of the new energy station during that period.

5. The device according to claim 4, characterized in that The building blocks include: an acquiring unit, configured to acquire the load-loss power of the target power system per unit time; A construction unit is used to construct the new loss function according to the load loss power in the unit time.

6. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the new energy confidence capacity calculation method according to any one of claims 1 to 3.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the new energy confidence capacity calculation method according to any one of claims 1 to 3.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed, it is used to implement the new energy confidence capacity calculation method according to any one of claims 1 to 3.

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