New energy grid modeling method, device, storage medium and computing equipment

Abstract

The embodiments of this specification provide a new energy grid modeling method, apparatus, storage medium and computing equipment, wherein the new energy grid modeling method includes: obtaining new energy grid parameters; generating an influence factor based on the new energy grid parameters; based on the influence factor being less than or equal to the influence factor threshold, determining that the grid equivalent model is a simplified model according to the new energy grid parameters and the influence factor; or, based on the influence factor being greater than the influence factor threshold, determining that the grid equivalent model is a detailed model according to the acquired new energy control strategy type, so that the impact of the new energy grid parameters on the studied area can be quantified as an influence factor, and the influence factor is compared with the influence factor threshold to determine whether the grid equivalent model is a simplified model or a detailed model, and then establishing a simplified model or a detailed model according to different situations to achieve accurate equivalent modeling of new energy sites.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of power grid technology, and in particular to a new energy power grid modeling method. Background Art

[0002] Internal overvoltage calculation is crucial for commissioning ultra-high / ultra-high voltage (UHV) transmission and transformation projects. After the construction of an ultra-high voltage (UHV) project is complete and before it is launched, internal overvoltage calculations can be used to calculate the overvoltages generated by the capacitance rise effect of the empty-charged line during the commissioning process. This is a crucial means of ensuring that the voltage at the end of the line does not exceed the voltage specified in regulations. If the terminal voltage exceeds the insulation tolerance limit, calculations can be used to control the bus voltage at the head end to prevent potential damage. Traditional internal overvoltage calculations typically use the Thevenin equivalent method to simplify the power grid. This involves dividing the entire system into an internal system and an external system, performing Thevenin equivalent simplification on the external system, and then using PSCAD software to perform electromagnetic transient analysis on local areas of the large-scale power system.

[0003] However, with the integration of a high proportion of renewable energy into the power grid, the structure and operating characteristics of the grid have undergone significant changes. Currently, the traditional Thevenin equivalent method is no longer suitable for accurately modeling renewable energy sites. The busbar voltage control value calculation results from electromagnetic transient calculations differ significantly from those from electromechanical transient calculations. This is because, in scenarios where large-scale renewable energy is centrally connected to the grid, when calculating overvoltages within the grid for newly built startup projects, if only Thevenin equivalent modeling is performed on the renewable energy collection station or nearby stations, and the renewable energy is directly equated to the Thevenin model of voltage source and impedance, the current source characteristics of renewable energy will result in inaccurate equivalent voltage values ​​or negative impedance values. Consequently, the equivalent grid model current in steady state will not correspond to the actual grid current. Therefore, traditional overvoltage calculation methods are no longer suitable for analyzing all scenarios where large-scale renewable energy is connected to the grid. It is necessary to study equivalent modeling methods for calculating internal overvoltages in the grid under large-scale renewable energy access scenarios. Summary of the Invention

[0004] In view of this, embodiments of this specification provide a new energy grid modeling method. One or more embodiments of this specification also relate to a new energy grid modeling apparatus, a computing device, and a computer-readable storage medium to address technical deficiencies in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a new energy grid modeling method is provided, comprising:

[0006] Obtain new energy grid parameters;

[0007] generating an impact factor based on the new energy grid parameters;

[0008] Based on the fact that the impact factor is less than or equal to the impact factor threshold, the grid equivalent model is determined to be a simplified model based on the new energy grid parameters and the impact factor; or, based on the fact that the impact factor is greater than the impact factor threshold, the grid equivalent model is determined to be a detailed model based on the obtained new energy control strategy type.

[0009] In a possible implementation, the new energy control strategy type includes a grid-following type or a grid-building type, and the detailed model includes a station model or a virtual impedance voltage source model;

[0010] Accordingly, based on the fact that the impact factor is greater than the impact factor threshold, determining that the grid equivalent model is a detailed model according to the acquired new energy control strategy type includes:

[0011] Based on the fact that the impact factor is greater than the impact factor threshold, and according to the fact that the new energy control strategy type is the grid-following type, determining that the grid equivalent model is the station model; or,

[0012] Based on the fact that the impact factor is greater than the impact factor threshold, and according to the fact that the new energy control strategy type is the grid type, the grid equivalent model is determined to be the virtual impedance voltage source model.

[0013] In a possible implementation, the new energy grid parameter includes a reactive power output parameter, and the simplified model includes a capacitor model, an inductor model, or a Thevenin model;

[0014] Accordingly, based on the fact that the impact factor is less than or equal to the impact factor threshold, determining the grid equivalent model as a simplified model according to the new energy grid parameter and the impact factor includes:

[0015] Based on the impact factor being equal to a first threshold, and based on the reactive output parameter being greater than a reactive output threshold, determining that the grid equivalent model is the capacitor model, wherein the first threshold is less than or equal to the impact factor threshold; or

[0016] Based on the fact that the impact factor is equal to the first threshold and the fact that the reactive output parameter is less than or equal to the reactive output threshold, determining that the grid equivalent model is the inductance model; or

[0017] Based on the fact that the impact factor is less than or equal to the impact factor threshold and is not equal to the first threshold, it is determined that the power grid equivalent model is the Thevenin model.

[0018] In one possible implementation, the capacitance model includes a capacitance load parameter;

[0019] Correspondingly, after determining that the grid equivalent model is the capacitor model, the method further includes:

[0020] determining the capacitive load parameter based on the reactive output parameter;

[0021] The capacitance model is generated based on the capacitance load parameter.

[0022] In a possible implementation, the inductance model includes an inductance load parameter;

[0023] Correspondingly, after determining that the grid equivalent model is the inductance model, the method further includes:

[0024] Determining the inductive load parameter based on the reactive output parameter;

[0025] The inductance model is generated based on the inductive load parameters.

[0026] In a possible implementation, the new energy grid parameters include active power output parameters, access distance parameters, and grid short-circuit capacity parameters;

[0027] Accordingly, generating the impact factor based on the new energy grid parameter includes:

[0028] Based on the access distance parameter being equal to the distance threshold, generating the impact factor according to the active output parameter and the grid short-circuit capacity parameter; or,

[0029] Based on the fact that the access distance parameter is not equal to the distance threshold, the impact factor is generated according to the active output parameter, the access distance parameter, and the grid short-circuit capacity parameter.

[0030] In a possible implementation, after determining that the grid equivalent model is a simplified model according to the new energy grid parameter and the influencing factor or determining that the grid equivalent model is a detailed model according to the acquired new energy control strategy type, the method further includes:

[0031] generating a power grid operation prediction value based on the power grid equivalent model, wherein the power grid equivalent model includes the simplified model or the detailed model;

[0032] Obtain actual values ​​of power grid operation;

[0033] Based on the matching between the predicted grid operation value and the actual grid operation value, the grid equivalent model is run; or based on the mismatch between the predicted grid operation value and the actual grid operation value, the step of obtaining the new energy grid parameters is performed.

[0034] According to a second aspect of the embodiments of this specification, a new energy grid modeling device is provided, comprising:

[0035] A first acquisition module is configured to acquire new energy grid parameters;

[0036] A first generating module is configured to generate an impact factor based on the new energy grid parameter;

[0037] The first determination module is configured to determine that the grid equivalent model is a simplified model based on the new energy grid parameters and the influence factor based on the influence factor being less than or equal to the influence factor threshold; or, based on the influence factor being greater than the influence factor threshold, determine that the grid equivalent model is a detailed model based on the obtained new energy control strategy type.

[0038] According to a third aspect of an embodiment of this specification, a computing device is provided, including:

[0039] memory and processor;

[0040] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-mentioned new energy power grid modeling method are implemented.

[0041] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned new energy power grid modeling method are implemented.

[0042] One embodiment of the present specification implements a new energy power grid modeling method, apparatus, storage medium and computing equipment to obtain new energy power grid parameters; generate an impact factor based on the new energy power grid parameters; based on the impact factor being less than or equal to the impact factor threshold, determine that the power grid equivalent model is a simplified model according to the new energy power grid parameters and the impact factor; or, based on the impact factor being greater than the impact factor threshold, determine that the power grid equivalent model is a detailed model according to the acquired new energy control strategy type, so that the impact of the new energy power grid parameters on the studied area can be quantified as an impact factor, and the impact factor is compared with the impact factor threshold to determine whether the power grid equivalent model is a simplified model or a detailed model, and then establish a simplified model or a detailed model according to different situations to achieve accurate equivalent modeling of new energy sites. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of a new energy grid modeling method provided by one embodiment of this specification;

[0044] Figure 2 This is a classification modeling diagram provided by an embodiment of this specification;

[0045] Figure 3 This is a connection diagram provided by an embodiment of this specification;

[0046] Figure 4This is a structural diagram of a new energy grid modeling device provided by an embodiment of this specification;

[0047] Figure 5 This is a structural block diagram of a computing device provided by one embodiment of this specification. DETAILED DESCRIPTION

[0048] The following description sets forth many specific details to facilitate a thorough understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0049] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a," "an," and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0050] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0051] Figure 1 This is a flow chart of a new energy grid modeling method provided by an embodiment of this specification. Figure 1 As shown, the method includes:

[0052] Step 101: The computing device obtains new energy grid parameters.

[0053] In some embodiments, computing devices include but are not limited to servers, laptops, desktop computers, tablets, or wearable devices. New energy grid parameters are parameters related to new energy sources used to detect power grids. The present invention is applicable to scenarios where new energy sources are connected to the power grid, and in particular to scenarios where a high proportion of new energy sources are connected to the power grid. New energy grid parameters include at least one of the following parameters: the active power output of the new energy source, the distance between the new energy source access location and the study area, and the short-circuit capacity of the power grid at the new energy connection point. New energy grid parameters may also include the reactive power output of the new energy source and / or the type of new energy control strategy, wherein the new energy control strategy type includes a grid-following type or a grid-forming type.

[0054] Step 102: The computing device generates an impact factor based on the new energy grid parameters.

[0055] In some embodiments, the impact of the new energy grid parameters on the studied area is quantified as an impact factor k.

[0056] Step 103: The computing device determines that the grid equivalent model is a simplified model based on the new energy grid parameters and the impact factor, based on the impact factor being less than or equal to the impact factor threshold; or, based on the impact factor being greater than the impact factor threshold, determines that the grid equivalent model is a detailed model based on the acquired new energy control strategy type.

[0057] In some embodiments, when the new energy grid parameter includes the new energy control strategy type, the computing device may directly extract the new energy control strategy type from the new energy grid parameter.

[0058] The larger the impact factor k, the greater the impact. The computing device determines whether to create a simplified or detailed grid equivalent model based on different situations. When the impact factor is less than or equal to the impact factor threshold, it indicates that the new energy grid parameters have little impact on the studied area, and the computing device only needs to establish a simplified model to achieve accurate equivalent modeling of the new energy station. When the impact factor is greater than the impact factor threshold, it indicates that the new energy grid parameters have a significant impact on the studied area, and the computing device needs to establish a detailed model to achieve accurate equivalent modeling of the new energy station.

[0059] This specification provides a new energy power grid modeling method, which obtains new energy power grid parameters; generates an impact factor based on the new energy power grid parameters; based on the impact factor being less than or equal to the impact factor threshold, determines that the power grid equivalent model is a simplified model according to the new energy power grid parameters and the impact factor; or, based on the impact factor being greater than the impact factor threshold, determines that the power grid equivalent model is a detailed model according to the obtained new energy control strategy type, so that the impact of the new energy power grid parameters on the study area can be quantified as an impact factor, and the impact factor is compared with the impact factor threshold to determine whether the power grid equivalent model is a simplified model or a detailed model, and a simplified model or a detailed model is established according to different situations to achieve accurate equivalent modeling of new energy sites.

[0060] The following combined Figure 1 , further illustrating the new energy grid modeling method.

[0061] In one possible implementation, the new energy grid parameters include active power output parameters, access distance parameters, and grid short-circuit capacity parameters; step 102 may specifically include generating an impact factor based on the access distance parameter being equal to a distance threshold, according to the active power output parameter and the grid short-circuit capacity parameter; or, based on the access distance parameter not being equal to the distance threshold, generating an impact factor based on the active power output parameter, the access distance parameter, and the grid short-circuit capacity parameter.

[0062] In some embodiments, the active output parameter P includes the active output of the new energy, the access distance parameter L includes the distance between the new energy collection access location and the study area, and the grid short-circuit capacity parameter S includes the grid short-circuit capacity of the new energy grid connection point.

[0063] The calculation device generates the impact factor k based on the active power output parameter, access distance parameter, and grid short-circuit capacity parameter using the impact factor formula. The calculation device compares the access distance parameter L with the distance threshold Lset. When L equals the distance threshold Lset, the calculation device determines the impact factor k based on the ratio of the active power output parameter P to the grid short-circuit capacity parameter S. When the access distance parameter L does not equal the distance threshold Lset, the calculation device uses the difference between the distance threshold Lset and the access distance parameter L as the distance difference, and the ratio of the active power output parameter P to the grid short-circuit capacity parameter S as the active short-circuit ratio. The calculation device determines the impact factor k based on the product of the distance difference and the active short-circuit ratio.

[0064] For example, the impact factor formula is k= . Wherein, S is a value greater than 0.

[0065] In one possible implementation, the new energy control strategy type includes a grid-following type or a grid-forming type, and the detailed model includes a site model or a virtual impedance voltage source model; accordingly, based on the influence factor being greater than the influence factor threshold, the grid equivalent model is determined to be a detailed model according to the acquired new energy control strategy type, including: based on the influence factor being greater than the influence factor threshold, according to the new energy control strategy type being a grid-following type, determining the grid equivalent model to be a site model; or, based on the influence factor being greater than the influence factor threshold, according to the new energy control strategy type being a grid-forming type, determining the grid equivalent model to be a virtual impedance voltage source model.

[0066] In some embodiments, the impact factor k can be compared with an impact factor threshold. When the impact factor k is greater than the impact factor threshold, it indicates that the access distance parameter L is less than or equal to the distance threshold Lset, and the active power output parameter P is not equal to 0, indicating that the new energy output has a significant impact on the studied area. For example, the impact factor threshold is 0.

[0067] Renewable energy grid parameters also include the reactive output parameter Q, which includes the reactive output of renewable energy. The computing device determines that the grid equivalent model is an electromagnetic transient model when the impact factor exceeds the impact factor threshold, the renewable energy control strategy type is grid-following, and the reactive output parameter Q is not zero. The station model is then generated based on the electromagnetic transient model. In this case, detailed electromagnetic transient modeling is required for the single-unit renewable energy model. The electromagnetic transient model is then established, and the power multiplication module is used to model the renewable energy station based on the electromagnetic transient model.

[0068] Alternatively, the computing device determines that the grid equivalent model is a virtual impedance voltage source model based on the fact that the impact factor is greater than the impact factor threshold, the new energy control strategy type is a grid-forming type, and the reactive output parameter Q is not 0. The virtual impedance voltage source model is a model established based on a virtual impedance and a voltage source.

[0069] Therefore, when the impact factor is greater than the impact factor threshold, different types of new energy control strategies can be mapped to different detailed models based on the different types of new energy control strategies, so as to establish a detailed model that best matches the grid equivalent model.

[0070] In one possible implementation, the new energy grid parameters include reactive output parameters, and the simplified model includes a capacitor model, an inductor model, or a Thevenin model; accordingly, based on the influence factor being less than or equal to the influence factor threshold, the grid equivalent model is determined to be a simplified model according to the new energy grid parameters and the influence factor, including: based on the influence factor being equal to the first threshold, and based on the reactive output parameter being greater than the reactive output threshold, determining that the grid equivalent model is a capacitor model, wherein the first threshold is less than or equal to the influence factor threshold; or, based on the influence factor being equal to the first threshold, and based on the reactive output parameter being less than or equal to the reactive output threshold, determining that the grid equivalent model is an inductor model; or, based on the influence factor being less than or equal to the influence factor threshold and not equal to the first threshold, determining that the grid equivalent model is a Thevenin model.

[0071] In some embodiments, the computing device determines that the impact factor k is less than or equal to an impact factor threshold. For example, the impact factor threshold is 0. When the impact factor k is equal to the impact factor threshold, it indicates that the active power output parameter P is equal to 0, and the new energy output has little impact on the studied area. When the impact factor k is less than the impact factor threshold, it indicates that the access distance parameter L is greater than or equal to the distance threshold Lset, and the active power output parameter P is not equal to 0, and the new energy output has little impact on the studied area.

[0072] The first threshold is less than or equal to the impact factor threshold setting value. For example, when the impact factor threshold is 0, the value range of the first threshold is a range less than or equal to 0, and the first threshold can be 0. When the impact factor is equal to the first threshold, the computing device can compare the reactive output parameter with the reactive output threshold. When the reactive output parameter is greater than the reactive output threshold, the grid equivalent model is determined to be a capacitance model. The capacitance model includes a capacitance load parameter; after determining that the grid equivalent model is a capacitance model, it also includes: determining a capacitance load parameter based on the reactive output parameter; and generating a capacitance model based on the capacitance load parameter. When the reactive output parameter is less than or equal to the reactive output threshold, the grid equivalent model is determined to be an inductance model. The inductance model includes an inductance load parameter; after determining that the grid equivalent model is an inductance model, it also includes: determining an inductance load parameter based on the reactive output parameter; and generating an inductance model based on the inductance load parameter.

[0073] For example, when the first threshold is 0 and the reactive output threshold is 0, the impact factor is equal to 0. When the computing device compares the reactive output parameter to be greater than 0, it determines that the grid equivalent model is a capacitor model. When creating a capacitor model, the capacitor load parameter is required. The capacitor load parameter includes the capacitor load , so that the capacitance load Equal to the reactive output parameter Q, expressed as =Q, thus obtaining the capacitive load The computing device creates a capacitance model based on the value of . When the computing device compares the reactive output parameter and finds that it is less than or equal to 0, it determines that the grid equivalent model is an inductance model. When creating an inductance model, the inductance load parameter is required. The inductance load parameter includes the inductance load , so that the inductive load Equal to the negative number of the reactive output parameter, expressed as =-Q, thus obtaining the inductive load The computing device creates an inductance model based on the value of .

[0074] When the first threshold is 0 and the reactive output threshold is 0, if the computing device determines that the impact factor is less than 0, the grid equivalent model is determined to be the Thevenin model. At this time, the new energy modeling can use the traditional Thevenin equivalent method to create the Thevenin model.

[0075] In a possible implementation, after step 103 , the following further includes: step 104 : the computing device creates a simplified model or a detailed model.

[0076] In some embodiments, Figure 2 This is a classification modeling diagram provided by an embodiment of this specification, such as Figure 2 As shown, the computing device obtains parameters related to new energy and power grid, which include parameters such as actual active and reactive output of new energy, type of new energy control strategy (grid-following type, grid-forming type), distance between the new energy collection and access location and the study area; based on parameters such as actual active and reactive output of new energy, type of new energy control strategy (grid-following type, grid-forming type), distance between the new energy collection and access location and the study area, the impact factor k of new energy on the study area is judged, thereby determining the modeling method of new energy; specifically: judge whether K is 0; when k is not equal to 0, judge whether K is greater than 0; when k is less than 0, new energy modeling can use traditional Thevenin equivalent method equates new energy to the Thevenin model of voltage source and impedance; when K is greater than 0, determine whether the new energy control strategy is a grid-building type; when the new energy control strategy is a grid-following type, the new energy stand-alone model needs to perform detailed electromagnetic transient modeling, and then use the power multiplication module to model the new energy station; when the new energy control strategy is a grid-building type, the new energy station can be equivalent to a model of virtual impedance and voltage source; when k is equal to 0, determine whether the new energy reactive output Q is greater than 0; when the new energy reactive output Q is greater than 0, the new energy equivalent modeling is a capacitive load; when the new energy reactive output Q is less than or equal to 0, the new energy equivalent modeling is an inductive load.

[0077] Simplified models include capacitance model, inductance model or Thevenin model, and detailed models include station model or virtual impedance voltage source model, such as Figure 2 As shown, the computing device can create different models depending on different situations.

[0078] Figure 3 This is a connection diagram provided by an embodiment of this specification, such as Figure 3 As shown in the figure, the equivalent models for different renewable energy scenarios are connected to other equivalent systems in the study area via tie lines L. These other equivalent systems in the study area are already established systems, such as the internal systems of an ultra-high / ultra-high voltage transmission and transformation project. The equivalent models for different renewable energy scenarios can be connected to other equivalent systems in the study area based on the value of the impact factor k or the value of the impact factor k and the reactive output parameter Q.

[0079] like Figure 3 As shown in Figure 1, when k>0, depending on whether the new energy control strategy type is grid-following or grid-forming, the station model or virtual impedance voltage source model is connected to other equivalent systems in the study area through the tie line L. Both the station model and the virtual impedance voltage source model are represented by a wind farm, a transformer, and a busbar; the wind farm is connected to one end of the transformer, and the other end of the transformer is connected to one end of the busbar; at this time, the tie line L includes a resistor With two capacitors to ground ,resistance Connect the capacitors to ground at both ends ,resistance One end of the resistor is also connected to the other end of the busbar. The other end is also connected to an equal voltage source One end of the resistor with equal impedance One end and the mutual impedance resistor One end of the connection; equal value voltage source , equal impedance resistor and mutual impedance resistance Other equivalent systems and equivalent voltage sources located in the study area The other end of the resistor is connected to the The other end of the voltage source is grounded. One end of the resistor with equal impedance One end and the mutual impedance resistor There is a connection relationship at one end.

[0080] like Figure 3 As shown in Figure 1, when k < 0, the equivalent model of the power grid is determined to be the Thevenin model, and the Thevenin model is connected to other equivalent systems in the study area through the tie line L. The Thevenin model is represented by an equivalent voltage source U, an equivalent impedance R, and a busbar; the equivalent voltage source U is connected to one end of the equivalent impedance R, and the other end of the equivalent impedance R is connected to one end of the busbar; at this time, the tie line L includes a resistor With two capacitors to ground ,resistance Connect the capacitors to ground at both ends ,resistance One end of the resistor is also connected to the other end of the busbar. The other end is also connected to an equal voltage source One end of the resistor with equal impedance One end of the mutual impedance resistor One end and the mutual impedance resistor The value of α is an integer greater than or equal to 3 and less than or equal to n, n is an integer, and the value of n is equal to the number of equivalent voltage sources in other equivalent systems in the study area; the equivalent voltage source The other end of the resistor is connected to the The other end of the voltage source is grounded. One end of the resistor with equal impedance One end of the mutual impedance resistor One end and the mutual impedance resistor There is a connection relationship at one end.

[0081] like Figure 3 As shown in the figure, when k=0 and Q<0, the grid equivalent model is determined to be an inductive model, and the inductive model is connected to other equivalent systems in the study area through the tie line L. The inductive model is represented by an inductive load module, and the inductance of the inductive load module is the inductive load. When k=0 and Q>0, the equivalent model of the power grid is determined to be a capacitor model. The capacitor model is connected to other equivalent systems in the study area through the tie line L. The capacitor model is represented by a capacitor load module, and the capacitance of the capacitor load module is the capacitor load. The tie lines L corresponding to the inductance model and the capacitance model can be the same. In this case, the tie line L includes the resistance With two capacitors to ground ,resistance Connect the capacitors to ground at both ends The capacitance load module is connected to the resistor and mutual impedance resistance , equivalent voltage source One end and equal impedance resistor , wherein the value of β is an integer greater than or equal to 1 and less than or equal to n-1, and β is not equal to 2.

[0082] In a possible implementation, after step 103, the method further includes: step 105: the computing device generates a power grid operation prediction value based on the power grid equivalent model, where the power grid equivalent model includes a simplified model or a detailed model.

[0083] In some embodiments, when the computing device determines that the grid equivalent model is a simplified model based on the new energy grid parameters and the impact factor, based on the impact factor being less than or equal to the impact factor threshold, in step 105, the grid equivalent model includes the simplified model, and the computing device generates a grid operation prediction value based on the simplified model when executing step 105.

[0084] When the computing device determines that the power grid equivalent model is a detailed model based on the influence factor being greater than the influence factor threshold and according to the acquired new energy control strategy type, in step 105, the power grid equivalent model includes the detailed model, and the computing device generates a power grid operation prediction value based on the detailed model when executing step 105.

[0085] The grid operation prediction value includes at least one of an active power prediction value, a reactive power prediction value, a voltage prediction value, a power angle prediction value, and a grid electromechanical transient data prediction value.

[0086] Step 106: The computing device obtains actual power grid operation values.

[0087] In some embodiments, the actual value of grid operation includes at least one of an actual value of active power, an actual value of reactive power, an actual value of voltage, an actual value of power angle, and an actual value of electromechanical transient data of the grid.

[0088] Step 107: The computing device runs the grid equivalent model based on the matching between the grid operation prediction value and the grid operation actual value; or, based on the mismatch between the grid operation prediction value and the grid operation actual value, executes step 101.

[0089] In some embodiments, a computing device generates an error value based on the predicted grid operation value and the actual grid operation value; determines that the predicted grid operation value matches the actual grid operation value based on the error value being less than or equal to an error threshold; or determines that the predicted grid operation value does not match the actual grid operation value based on the error value being greater than the error threshold. The error value includes the error difference between the predicted grid operation value and the actual grid operation value, or the error value includes the error ratio between the error difference and the actual grid operation value. The error threshold can be adjusted depending on how the error value is calculated; for example, if the error value includes the error ratio, the error threshold is 1%.

[0090] The computing device calculates the grid operation prediction value and the grid operation actual value corresponding to the grid operation prediction value to obtain an error value. The error value includes at least one of an active power error value, a reactive power error value, a voltage error value, a power angle error value, and a grid electromechanical transient data error value.

[0091] For example, when the grid operation prediction value includes the active power prediction value, reactive power prediction value, voltage prediction value, power angle prediction value and grid electromechanical transient data prediction value, and the grid operation actual value includes the active power actual value, reactive power actual value, voltage actual value, power angle actual value and grid electromechanical transient data actual value, the computing device generates the active power error value based on the active power prediction value and the active power actual value; similarly, the reactive power error value, voltage error value, power angle error value and grid electromechanical transient data error value can be obtained; at this time, the error threshold includes the active power error threshold, reactive power error threshold, voltage error threshold, power angle error threshold The active power error value is compared with the active power error threshold, the reactive power error value is compared with the reactive power error threshold, the voltage error value is compared with the voltage error threshold, the power angle error value is compared with the power angle error threshold, and the power grid electromechanical transient data error value is compared with the power grid electromechanical transient data error threshold. If the comparison result of any error value with the error threshold is that the error value is greater than the error threshold, it is determined that the power grid operation prediction value does not match the power grid operation actual value; when the comparison result of all error values ​​with the error threshold is that the error value is less than or equal to the error threshold, it is determined that the power grid operation prediction value matches the power grid operation actual value.

[0092] When it is determined that the predicted value of the grid operation matches the actual value of the grid operation, it indicates that the simplified model or detailed model established is a suitable grid equivalent model, and then the grid equivalent model is used to calculate and analyze the internal overvoltage under the operating characteristics of new energy.

[0093] This specification provides a new energy power grid modeling method, which obtains new energy power grid parameters; generates an impact factor based on the new energy power grid parameters; based on the impact factor being less than or equal to the impact factor threshold, determines that the power grid equivalent model is a simplified model according to the new energy power grid parameters and the impact factor; or, based on the impact factor being greater than the impact factor threshold, determines that the power grid equivalent model is a detailed model according to the obtained new energy control strategy type. Therefore, this specification provides a modeling method suitable for new energy power grid access scenarios, which can quantify the impact of new energy power grid parameters on the study area as an impact factor in large-scale new energy centralized power grid access scenarios, compare the impact factor with the impact factor threshold to determine whether the power grid equivalent model is a simplified model or a detailed model, establish a simplified model or a detailed model according to different situations, and realize accurate equivalent modeling of new energy sites.

[0094] Corresponding to the above method embodiment, this specification also provides a new energy grid modeling device embodiment, Figure 4 This is a schematic diagram of a new energy grid modeling device provided by an embodiment of this specification. Figure 4As shown, the apparatus includes: a first acquisition module 401, a first generation module 402 and a first determination module 403. The first acquisition module 401 is connected to the first generation module 402, and the first generation module 402 is connected to the first determination module 403.

[0095] The first acquisition module 401 is configured to acquire new energy grid parameters; the first generation module 402 is configured to generate an impact factor based on the new energy grid parameters; the first determination module 403 is configured to determine that the grid equivalent model is a simplified model based on the new energy grid parameters and the impact factor, based on the impact factor being less than or equal to the impact factor threshold; or, based on the impact factor being greater than the impact factor threshold, determine that the grid equivalent model is a detailed model based on the acquired new energy control strategy type.

[0096] In one possible implementation, the new energy control strategy type includes a grid-following type or a grid-building type, and the detailed model includes a site model or a virtual impedance voltage source model; the first determination module 403 is configured to determine that the grid equivalent model is a site model based on the impact factor being greater than the impact factor threshold and the new energy control strategy type being a grid-following type; or, based on the impact factor being greater than the impact factor threshold and the new energy control strategy type being a grid-building type, determine that the grid equivalent model is a virtual impedance voltage source model.

[0097] In one possible implementation, the new energy grid parameters include reactive output parameters, and the simplified model includes a capacitor model, an inductor model, or a Thevenin model; the first determination module 403 is configured to determine that the grid equivalent model is a capacitor model based on the influence factor being equal to the first threshold and the reactive output parameter being greater than the reactive output threshold, wherein the first threshold is less than or equal to the influence factor threshold; or, based on the influence factor being equal to the first threshold and the reactive output parameter being less than or equal to the reactive output threshold, determine that the grid equivalent model is an inductor model; or, based on the influence factor being less than or equal to the influence factor threshold and not equal to the first threshold, determine that the grid equivalent model is a Thevenin model.

[0098] In a possible implementation, the apparatus further includes: a second determining module 404 and a second generating module 405. The second determining module 404 is connected to the first determining module 403 and the second generating module 405.

[0099] The capacitance model includes capacitance load parameters; the second determining module 404 is configured to determine the capacitance load parameters based on the reactive power output parameters; and the second generating module 405 is configured to generate the capacitance model based on the capacitance load parameters.

[0100] In a possible implementation, the inductance model includes an inductance load parameter; the second determination module 404 is configured to determine the inductance load parameter based on the reactive power output parameter; and the second generation module 405 is configured to generate the inductance model based on the inductance load parameter.

[0101] In one possible implementation, the new energy grid parameters include active power output parameters, access distance parameters, and grid short-circuit capacity parameters; the first generation module 402 is configured to generate an impact factor based on the access distance parameter being equal to a distance threshold, according to the active power output parameter and the grid short-circuit capacity parameter; or, based on the access distance parameter not being equal to the distance threshold, generate an impact factor based on the active power output parameter, the access distance parameter, and the grid short-circuit capacity parameter.

[0102] In a possible implementation, the apparatus further includes: a third generating module 406 , a second acquiring module 407 , and an operating module 408 . The third generating module 406 is connected to the first determining module 403 and the second acquiring module 407 , and the second acquiring module 407 is connected to the operating module 408 .

[0103] The third generation module 406 is configured to generate a power grid operation prediction value based on a power grid equivalent model, and the power grid equivalent model includes a simplified model or a detailed model; the second acquisition module 407 is configured to obtain the actual power grid operation value; the operation module 408 is configured to operate the power grid equivalent model based on the matching of the power grid operation prediction value with the actual power grid operation value; or, based on the mismatch between the power grid operation prediction value and the actual power grid operation value, trigger the first acquisition module 401 to execute the operation of obtaining the new energy power grid parameters.

[0104] This specification provides a new energy power grid modeling method, wherein the first acquisition module is configured to acquire new energy power grid parameters; the first generation module is configured to generate an influence factor based on the new energy power grid parameters; the first determination module is configured to determine that the power grid equivalent model is a simplified model based on the new energy power grid parameters and the influence factor, based on the influence factor being less than or equal to the influence factor threshold; or, based on the influence factor being greater than the influence factor threshold, the power grid equivalent model is determined to be a detailed model based on the acquired new energy control strategy type, so that the impact of the new energy power grid parameters on the studied area can be quantified as an influence factor, and the influence factor is compared with the influence factor threshold to determine whether the power grid equivalent model is a simplified model or a detailed model, and a simplified model or a detailed model is established according to different situations to achieve accurate equivalent modeling of new energy sites.

[0105] The above is a schematic diagram of a new energy grid modeling device according to this embodiment. It should be noted that the technical solution of the new energy grid modeling device and the technical solution of the above-mentioned new energy grid modeling method are based on the same concept. For details not described in detail in the technical solution of the new energy grid modeling device, please refer to the description of the technical solution of the above-mentioned new energy grid modeling method.

[0106] Figure 5 5 is a block diagram of a computing device 500 provided in one embodiment of this specification. Components of the computing device 500 include, but are not limited to, a memory 510 and a processor 520. The processor 520 is connected to the memory 510 via a bus 530, and a database 550 is used to store data.

[0107] The computing device 500 also includes an access device 540 that enables the computing device 500 to communicate via one or more networks 560. Examples of such networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 540 may include one or more of any type of network interface (e.g., a network interface card (NIC)) whether wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, or a near field communication (NFC) interface.

[0108] In one embodiment of the present specification, the above components of the computing device 500 and Figure 5 Other components not shown in the figure may also be connected to each other, for example, via a bus. Figure 5 The computing device structure block diagram shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art may add or replace other components as needed.

[0109] Computing device 500 can be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, personal digital assistant, laptop computer, notebook computer, netbook computer, etc.), a mobile phone (e.g., a smartphone), a wearable computing device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or personal computer (PC). Computing device 500 can also be a mobile or stationary server.

[0110] The processor 520 is configured to execute the following computer-executable instructions, which, when executed by the processor, implement the steps of the aforementioned new energy grid modeling method. The above is a schematic diagram of a computing device according to this embodiment. It should be noted that the technical solution of the computing device and the technical solution of the aforementioned new energy grid modeling method are based on the same concept. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the aforementioned new energy grid modeling method.

[0111] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned new energy grid modeling method.

[0112] The above is a schematic diagram of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium is based on the same concept as the technical solution of the aforementioned new energy grid modeling method. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the aforementioned new energy grid modeling method.

[0113] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned new energy grid modeling method.

[0114] The above is a schematic diagram of a computer program according to this embodiment. It should be noted that the technical solution of this computer program is based on the same concept as the technical solution of the aforementioned new energy grid modeling method. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the aforementioned new energy grid modeling method.

[0115] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0116] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium. It should be noted that the content of the computer-readable medium may be appropriately increased or decreased based on the requirements of legislation and patent practice within a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0117] It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0118] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0119] The preferred embodiments disclosed above are intended only to help illustrate this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that those skilled in the art can better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A new energy grid modeling method, characterized in that: include: Obtain new energy grid parameters; generating an impact factor based on the new energy grid parameters; Based on the impact factor being less than or equal to an impact factor threshold, determining the grid equivalent model as a simplified model based on the new energy grid parameter and the impact factor; or, based on the impact factor being greater than the impact factor threshold, determining the grid equivalent model as a detailed model based on the acquired new energy control strategy type; The new energy control strategy type includes a grid-following type or a grid-building type, and the detailed model includes a station model or a virtual impedance voltage source model; Accordingly, based on the fact that the impact factor is greater than the impact factor threshold, determining that the grid equivalent model is a detailed model according to the acquired new energy control strategy type includes: Based on the fact that the impact factor is greater than the impact factor threshold, and according to the fact that the new energy control strategy type is the grid-following type, determining that the grid equivalent model is the station model; or, Based on the fact that the impact factor is greater than the impact factor threshold, and according to the fact that the new energy control strategy type is the grid type, the grid equivalent model is determined to be the virtual impedance voltage source model.

2. The method according to claim 1, characterized in that The new energy grid parameters include reactive power output parameters, and the simplified model includes a capacitor model, an inductor model, or a Thevenin model; Accordingly, based on the fact that the impact factor is less than or equal to the impact factor threshold, determining the grid equivalent model as a simplified model according to the new energy grid parameter and the impact factor includes: Based on the impact factor being equal to a first threshold, and based on the reactive output parameter being greater than a reactive output threshold, determining that the grid equivalent model is the capacitor model, wherein the first threshold is less than or equal to the impact factor threshold; or Based on the fact that the impact factor is equal to the first threshold and the fact that the reactive output parameter is less than or equal to the reactive output threshold, determining that the grid equivalent model is the inductance model; or Based on the fact that the impact factor is less than or equal to the impact factor threshold and is not equal to the first threshold, it is determined that the power grid equivalent model is the Thevenin model.

3. The method according to claim 2, characterized in that The capacitance model includes capacitance load parameters; Correspondingly, after determining that the grid equivalent model is the capacitor model, the method further includes: determining the capacitive load parameter based on the reactive output parameter; The capacitance model is generated based on the capacitance load parameter.

4. The method according to claim 2, characterized in that The inductance model includes inductance load parameters; Correspondingly, after determining that the grid equivalent model is the inductance model, the method further includes: Determining the inductive load parameter based on the reactive output parameter; The inductance model is generated based on the inductive load parameters.

5. The method according to claim 1, wherein The new energy grid parameters include active output parameters, access distance parameters and grid short-circuit capacity parameters; Accordingly, generating the impact factor based on the new energy grid parameter includes: Based on the access distance parameter being equal to the distance threshold, generating the impact factor according to the active output parameter and the grid short-circuit capacity parameter; or, Based on the fact that the access distance parameter is not equal to the distance threshold, the impact factor is generated according to the active output parameter, the access distance parameter, and the grid short-circuit capacity parameter.

6. The method according to claim 1, characterized in that After determining that the grid equivalent model is a simplified model according to the new energy grid parameters and the influencing factors or determining that the grid equivalent model is a detailed model according to the acquired new energy control strategy type, the method further includes: generating a power grid operation prediction value based on the power grid equivalent model, wherein the power grid equivalent model includes the simplified model or the detailed model; Obtain actual values ​​of power grid operation; Based on the matching between the predicted grid operation value and the actual grid operation value, the grid equivalent model is run; or based on the mismatch between the predicted grid operation value and the actual grid operation value, the step of obtaining the new energy grid parameters is performed.

7. A new energy grid modeling device, characterized in that: The steps for implementing the new energy grid modeling method according to any one of claims 1 to 6 include: A first acquisition module is configured to acquire new energy grid parameters; A first generating module is configured to generate an impact factor based on the new energy grid parameter; The first determination module is configured to determine that the grid equivalent model is a simplified model based on the new energy grid parameters and the influence factor based on the influence factor being less than or equal to the influence factor threshold; or, based on the influence factor being greater than the influence factor threshold, determine that the grid equivalent model is a detailed model based on the obtained new energy control strategy type.

8. A computing device, characterized in that include: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the new energy grid modeling method described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the new energy grid modeling method according to any one of claims 1 to 6.

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