New energy confidence capacity calculation method and device

Abstract

The invention relates to the technical field of power systems, in particular to a new energy confidence capacity calculation method and device, and the method comprises the steps: constructing a novel loss function of a target power system, and evaluating the operation reliability of the target power system according to the novel loss function; based on the novel loss function, a confidence capacity definition of the new energy station is established, an implicit function expression of the new energy confidence capacity is constructed according to the confidence capacity definition, and the confidence capacity definition is that the equivalent load capacity of the new energy station is newly increased under the condition that the target power system meets the target adequacy and the operation reliability is not changed; and 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. According to the method, the new energy confidence capacity can be calculated under the condition of ensuring stable operation of the power system, the effectiveness and the accuracy of the new energy confidence capacity are effectively improved, and meanwhile, the time required by calculation is greatly shortened.

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] With the advancement of carbon peak and carbon neutrality, the scale of installed capacity of new energy represented by wind power and photovoltaic power continues to expand, and the proportion of traditional power installed capacity has decreased year by year. Since the output of new energy is affected by the weather, its timing output has strong uncertainty and timing volatility, which makes it difficult to provide reliable and stable output to the system like traditional units. The confidence capacity of new energy is used to characterize the contribution of the unit to the overall power supply margin of the system. The power supply margin characterizes the ability of the power system power supply to meet the load demand. Therefore, establishing a confidence capacity model for new energy output can reasonably evaluate the potential of new energy to participate in the balance of power and electricity in the power system, and provide an important basis for effectively determining the installed capacity level of new energy in power system planning. It is defined as the ideal unit capacity or equivalent load-carrying capacity that can be equivalently replaced by new energy while maintaining the system reliability level unchanged.

[0003] In the related art, the evaluation of confidence capacity of new energy mainly includes two categories: probability distribution-based methods and analytical methods. Among them, the methods for calculating confidence capacity based on probability distribution can be roughly divided into two categories. The first category is to calculate the reliability index by establishing a standardized classical probability distribution function, and directly calculate the confidence capacity by using the parameters of the distribution function. The second category is to use the Monte Carlo simulation method to perform massive sampling of the system's operating conditions and calculate its reliability indicators, such as the expected energy not supplied (EENS). The advantages of the Monte Carlo simulation method are clear physical meaning, simple calculation, and the ability to consider other factors of system operation, such as power system dispatching rules. The analytical method can intuitively give the calculation expression of confidence capacity. The analytical calculation of confidence capacity is accompanied by theoretical assumptions for modeling the reliability function and approximate methods in the solution process, and an explicit expression of confidence capacity can be obtained, which generally contains information such as the output characteristics, load characteristics, and existing power structure of the new energy unit, which helps to intuitively analyze its 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, they assume 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, so as to solve the problems that the methods for calculating the confidence capacity of new energy in related technologies have the defects of slow convergence speed and long calculation time, or have 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.

[0006] The first aspect of the present application provides a method for calculating a new energy confidence capacity, comprising the following steps: constructing a new loss function for a target power system to evaluate the operating 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 for the new energy confidence capacity according to the confidence capacity definition, wherein the confidence capacity is defined as the equivalent load capacity of a newly added new energy station when the target power system meets the target margin and the operating reliability remains unchanged; solving the implicit function expression for the new energy confidence capacity by 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 amount of load loss in the target power system per unit time; and constructing the new loss function according to the amount of load loss in the unit time.

[0008] Optionally, in one embodiment of the present application, 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 includes: collecting new energy output information, power installed capacity information and load information of the target power system; and 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.

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

[0010]

[0011] Among them, d trepresents the system load level during time period t, w t is the output of the new energy station during that period, G is the equivalent available output of all conventional units in the system, λ is the coefficient term of the loss function, and I(x) is the indicator function, which is 1 when the conditional statement x is true, 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 in P cv The total system loss function after loading, where d t represents the system load level during time period t, P cv is the confidence capacity of the new energy station, G is the equivalent available output of all conventional units in the system, w t 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, used 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, 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 new energy confidence capacity according to 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 operation reliability remains unchanged; a calculation module, used to solve the implicit function expression of the new energy confidence capacity through an iterative algorithm, so as 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, used to obtain the load loss power of the target power system per unit time; and a construction unit, used to construct the new loss function according to 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 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] Among them, d t represents the system load level during time period t, w t is the output of the new energy station during that period, G is the equivalent available output of all conventional units in the system, λ is the coefficient term of the loss function, and I(x) is the indicator function, which is 1 when the conditional statement x is true, 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 in P cv The total system loss function after loading, where d t represents the system load level during time period t, P cv is the confidence capacity of the new energy station, G is the equivalent available output of all conventional units in the system, and w t It is the output of the new energy station during that period.

[0024] The third aspect of the present application provides an electronic device, including: 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, and 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 the confidence capacity of new energy sources based on the new loss function, examine the equivalent load capacity of new energy stations under a certain system margin, and then calculate the confidence capacity of new energy stations based on the new definition of the confidence capacity of new energy sources combined with the actual information of the target power system. Thus, it is realized to construct a new loss function through the loss of load caused by the fluctuation of new energy sources, and propose a new definition of the confidence capacity of new energy sources based on the new loss function to examine the equivalent load capacity of new energy stations, and then 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 greatly reducing the time required for calculation. Thus, it solves the problems that the methods for calculating the confidence capacity of new energy sources in the related art either have the defects of slow convergence speed and long calculation time, or have 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.

[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 the 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 new energy confidence capacity calculation method provided according to an embodiment of the present application;

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

[0032] Figure 3 This is a flow chart 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 It is 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] Embodiments of the present application are described in detail below, and examples of the embodiments 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 fact that the method for calculating the confidence capacity of new energy in the related art mentioned in the above background technology has the defects of slow convergence speed and long calculation time, or has a strong assumption on the state of the power system, it is easy to introduce large errors for a high proportion of 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 which 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, and 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 according to the new definition of the confidence capacity of new energy combined with the actual information of the target power system. Thus, it is realized to construct a new loss function through the loss of load caused by the fluctuation of new energy, and propose a new definition of the confidence capacity of new energy based on the new loss function to examine the equivalent load capacity of the new energy station, and then calculate the confidence capacity of new energy while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the confidence capacity of new energy, and greatly reducing the time required for calculation. As a result, the problems of the methods for calculating the confidence capacity of new energy in related technologies, 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, are solved.

[0039] Specifically, Figure 1 A flowchart of a new energy confidence capacity calculation method 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 is understandable that the target power system here refers to the power system that needs to calculate the confidence capacity of new energy. In some scenarios, thermal power is the absolute main body of the power system's redundancy. The forced outage of thermal power is the main cause of power shortages, and the expected load loss probability based on the forced outage of thermal power is the main reliability measurement indicator. Therefore, the traditional confidence capacity calculation is based on the premise of equal reliability. On the premise of ensuring consistent reliability, the replacement capacity or reliable load-carrying capacity of the new units for thermal power capacity is evaluated.

[0043] However, in the scenario of high proportion of new energy, new energy becomes the main power source, energy storage and new flexible load become the main source of flexibility, and the electricity gap will be mainly filled by flexible resources, showing that the balancing cost of load loss generally presents a quadratic function relationship with the amount of load loss. In this case, it is extremely necessary to adopt reasonable generalized risk indicators to support the confidence capacity assessment of high proportion of new energy.

[0044] In some embodiments, the present application can construct a new loss function that can evaluate the operating reliability of the power system in a scenario with a high proportion of new energy grid-connected, 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 of the target power system includes: obtaining the load loss power of the target power system per unit time; and constructing a new loss function according to the load loss power per unit time. The new loss function can be, but is not limited to, expressed as:

[0047]

[0048] Among them, d t represents the system load level during time period t, w t is the output of the new energy station during that period, G is the equivalent available output of all conventional units in the system, λ is the coefficient term of the loss function, and I(x) is the indicator function, which is 1 when the conditional statement x is true, otherwise it is 0.

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

[0050] For example, for each evaluation period t of the target power system operation reliability, the present application can use the quadratic function of the load loss at each moment as a new loss function f(d t ,w t +G), the formula can be but not limited to the following:

[0051]

[0052] Among them, d t represents the load level of the power system during this period, w t is the output of the new energy station during this period, G is the equivalent available output of all conventional units in the system, which can be used to characterize the redundancy level of the power system. It can be obtained by multiplying the installed capacity of the conventional units in the system by (1-forced outage rate) and then adding them together. λ is the coefficient term of the loss function, and I(x) is the indicator function, which is 1 when the conditional statement x is true, 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, expressed as follows:

[0054] f Total =∑ t f(d t ,w t +G) (2)

[0055] Among them, f Total 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 in the power system can be expressed by, but not limited to, the following formula:

[0057]

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

[0059] In addition to being used to evaluate the operating 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 built in the subsequent process.

[0060] Step S102: Based on the new loss function, a definition of the confidence capacity of the new energy station is established to construct an implicit function expression of the confidence capacity of the new energy station according to the definition of the confidence capacity, wherein 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 operation reliability remains unchanged. The implicit function expression of 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 in P cv Total system loss function after loading; d t represents the system load level during time period t, P cv is the confidence capacity of the new energy station, G is the equivalent available output of all conventional units in the system, and w t It is the output of the new energy station during that period.

[0063] It is understandable that the confidence capacity of new energy refers to the maximum power supply capacity that new energy can still provide under a certain guarantee rate, taking into account the uncertain factors in the power system (such as load fluctuations, equipment failures, fluctuations in new energy output, etc.). It reflects the ability of new energy to maintain stable operation and meet user needs in the face of various uncertainties. The equivalent load capacity measures the ability of new energy stations or power systems to provide stable power supply under specific conditions.

[0064] In the traditional credible capacity definition framework, the confidence capacity of new energy is greatly affected by the overall installed capacity margin of the system. For example, in a system with low margin, the capacity confidence of wind power is often greater than 15%, while in a system with high margin, the capacity confidence saturation effect is obvious, and its value is often less than 10%, or even 5%. In traditional power systems, new energy is positioned as "supplementary energy", that is, the power system can achieve power balance even without considering new energy, that is, new energy has little effect on the margin. Furthermore, considering that in new power systems, new energy plays an important or even decisive role in the balance of power, the definition of system confidence capacity should give a system margin benchmark so that the confidence capacity of new energy can adapt to a larger range of new energy proportions.

[0065] As a possible implementation method, the embodiment of the present application can propose a new definition and solution method for the new energy confidence capacity of the target power system based on the constructed new loss function, so that the definition and solution method 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 operating reliability remains unchanged.

[0066] Among them, 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, and is represented by the parameter G in the new loss function of the embodiment of the present application.

[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 builds 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, that is, the equivalent load capacity in the embodiment of the present application.

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

[0070]

[0071] Among them, P cv is the confidence capacity of the new energy station, and 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, In the embodiment of the present application, it can be used as a reference value; the left side of the equation is the newly built new energy, and P is increased accordingly cv Total system loss function after loading.

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

[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 dichotomy 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 of one embodiment of the present application, such as 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 d = [d1, d2, ..., d T ], the equivalent reliable output of the conventional unit is G, and the output curve of the new energy station is w=[w1,w2,...,w T ], with a given error of ε;

[0077] (2) Initialize iterative parameters: Initialize the lower bound of the confidence capacity of the new energy station to Initialize the upper bound of the confidence capacity to the maximum value of the annual output curve of the new energy station Initialize the number of iterations i = 1;

[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 generation is installed

[0079] (4) Calculate the confidence capacity obtained at the i-th iteration by using the confidence capacity upper and lower bounds Based on the novel loss function calculation method in the embodiment of the present application, the corresponding system loss function is calculated: Let the confidence capacity of the i-th iteration be At the same time, based on the annual output curve of the new energy station and the system load curve, the system loss function after considering the new energy output and its corresponding load capacity represented by the left term in formula (4) is calculated and recorded as

[0080]

[0081] (5)Judgment If the result is false, If it is greater than ε, go ​​to step (6); otherwise, go to step (9);

[0082] (6)Judgment Is the result true? If the result is true, Then go to step (7), otherwise, go to step (8);

[0083] (7) Update the confidence capacity lower bound And update the number of iterations i = i + 1, and return to step (4);

[0084] (8) Update the upper bound of confidence capacity And update the number of iterations i = i + 1, and return to step (4);

[0085] (9) The algorithm converges and the calculation ends. As the calculation result of the new energy confidence capacity, i is returned as the number of algorithm iterations.

[0086] Optionally, in one embodiment of the present application, an 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 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.

[0087] In the actual implementation process, when evaluating the renewable 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 renewable energy confidence capacity.

[0088] In the embodiment of the present application, it is possible but not limited to collecting 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.

[0089] For example, this application can collect the conventional power installed capacity information and annual load data based on the actual example system or actual power grid situation of the target power system, and then calculate the confidence capacity under different new energy installed capacity according to different planning schemes. Then, according to the new energy confidence capacity defined in the embodiment of this application, the contribution of new energy installed capacity to the system power balance in different planning schemes is evaluated.

[0090] 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.

[0091] 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.

[0092] like Figure 3 As shown:

[0093] Step S301, establishing a new loss function for evaluating the reliability of power system operation;

[0094] 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 an equivalent loss function to evaluate the equivalent load capacity of the system after the new energy station is built;

[0095] Step S303, establishing an algorithm for solving the equal loss function expression based on the dichotomy method;

[0096] Step S304, collecting new energy output information, conventional power installed capacity information and load information, and calculating the new energy confidence capacity under the new definition.

[0097] 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, and 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 combined with the actual information of the target power system. Thus, it is realized to construct a new loss function through the loss of load caused by the fluctuation of new energy, and propose a new definition of new energy confidence capacity based on the new loss function to examine the equivalent load capacity of the new energy station, and then calculate the new energy confidence capacity while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the new energy confidence capacity, and 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.

[0098] Next, a new energy confidence capacity calculation device proposed according to an embodiment of the present application is described with reference to the accompanying drawings.

[0099] Figure 4 It is a structural schematic diagram of a new energy confidence capacity calculation device according to an embodiment of the present application.

[0100] like Figure 4 As shown, the new energy confidence capacity calculation device 10 includes: a construction module 100 , a building module 200 and a calculation module 300 .

[0101] The construction module 1000 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.

[0102] Establish module 200, which is used to establish the confidence capacity definition of the new energy station by 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.

[0103] 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.

[0104] Optionally, in one embodiment of the present application, the construction module 100 includes: an acquisition unit and a construction unit.

[0105] The acquisition unit is used to acquire the load loss power of the target power system per unit time.

[0106] A construction unit is used to construct a new loss function according to the load loss power per unit time.

[0107] Optionally, in one embodiment of the present application, the calculation module 300 includes: a collection unit and a determination unit.

[0108] The collection unit is used to collect the new energy output information, power installed capacity information and load information of the target power system;

[0109] 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.

[0110] Optionally, in one embodiment of the present application, the new loss function may be, but is not limited to, expressed as:

[0111]

[0112] Among them, d t represents the load level of the power system during this period, w t is the output of the new energy station during that period, G is the equivalent available output of all conventional units in the system, λ is the coefficient term of the loss function, and I(x) is the indicator function, which is 1 when the conditional statement x is true, otherwise it is 0.

[0113] 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:

[0114]

[0115] 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 in P cvThe total system loss function after loading, where d t represents the system load level during time period t, P cv is the confidence capacity of the new energy station, G is the equivalent available output of all conventional units in the system, and w t It is the output of the new energy station during that period.

[0116] 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.

[0117] 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, and 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 combined with the actual information of the target power system. Thus, it is realized to construct a new loss function through the loss of load caused by the fluctuation of new energy, and propose a new definition of new energy confidence capacity based on the new loss function to examine the equivalent load capacity of the new energy station, and then calculate the new energy confidence capacity while ensuring that the power system can operate stably, effectively improving the effectiveness and accuracy of the new energy confidence capacity, and 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.

[0118] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0119] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0120] When the processor 502 executes the program, the new energy confidence capacity calculation method provided in the above embodiment is implemented.

[0121] Furthermore, the electronic device further comprises:

[0122] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0123] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0124] 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.

[0125] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through 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. The bus can be divided into an address bus, a data bus, a control bus, 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 only one type of bus.

[0126] 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.

[0127] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0128] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned new energy confidence capacity calculation method when executed by a processor.

[0129] The 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.

[0130] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. 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 may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0131] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0132] 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 the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0133] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk 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 may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0134] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0135] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0136] In addition, each functional unit in each embodiment 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 one 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.

[0137] 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 can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify 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 operation reliability remains unchanged; 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.

2. The method according to claim 1, characterized in that The novel loss function of 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 quantity per 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. The method according to claim 1, characterized in that The new loss function is: Among them, d t represents the system load level during time period t, w t is the output of the new energy station during that period, G is the equivalent available output of all conventional units in the system, λ is the coefficient term of the loss function, and I(x) is the indicator function, which is 1 when the conditional statement x is true, otherwise it is 0.

5. The method according to claim 1, characterized in that 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 in P cv The total system loss function after loading, where d t represents the system load level during time period t, P cv is the confidence capacity of the new energy station, G is the equivalent available output of all conventional units in the system, and w t It is the output of the new energy station during that period.

6. A new energy confidence capacity calculation device, characterized in that: include: A construction module, used for constructing 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; Establishing a module for establishing 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; The calculation module 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.

7. The device according to claim 6, characterized in that The building blocks include: An acquisition unit, used for acquiring the load loss power of the target power system within a unit time; A construction unit is used to construct the new loss function according to the load loss power in the unit time.

8. 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 as described in any one of claims 1 to 5.

9. 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 as described in any one of claims 1 to 5.

10. 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 as described in any one of claims 1-5.

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