Transient characteristic evaluation method for intelligent active power transmitter

Abstract

The invention relates to the technical field of power transmitters, in particular to a transient characteristic evaluation method of an intelligent active power transmitter. Comprising the steps of establishing a plurality of fault sub-models according to historical parameters; acquiring simulation data of the intelligent active power transmitter to be evaluated in each fault sub-model according to preset simulation parameters; generating a first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model according to all the simulation data, and generating a second-level evaluation value of the intelligent active power transmitter to be evaluated according to all the first-level evaluation values; the intelligent active power transmitter to be evaluated is subjected to multiple times of analogue simulation by constructing multiple different fault sub-models, so that simulation data of transient characteristic indexes in various fault states are collected, and transient characteristics of the intelligent active power transmitter to be evaluated are analyzed and evaluated. And equipment which cannot meet the power measurement requirement under the condition of sudden change of the power of the power grid is eliminated in time, and operation faults are avoided.

Description

Technical Field

[0001] The present application relates to the technical field of power transmitters, and in particular to a transient characteristic evaluation method of an intelligent active power transmitter. Background Art

[0002] Active power transmitter is a device that isolates and transmits the active power in the power grid into a linear DC analog signal. The active power transmitter converts the input voltage signal and current signal into active power according to the built-in function relationship and outputs a unified standard signal (generally a DC value of 4-20mA) for use by secondary equipment, automatic control systems and dispatching systems.

[0003] At present, the national and industry standards have clear provisions for the steady-state characteristics of active power transmitters, but there are no requirements for the transient characteristics of active power transmitters. Therefore, the transient characteristics of active power transmitters commonly used in the market are uneven, which has also led to many incidents of steam turbine protection malfunction and generator set tripping accidents in recent years due to the active power transmitter transient performance not meeting the requirements. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a transient characteristics evaluation method of an intelligent active power transmitter, aiming to achieve accurate evaluation of the transient characteristics of the intelligent active power transmitter, determine the adaptability of its output signal in the unit coordinated control system, and avoid operational failures.

[0005] In some embodiments of the present application, by constructing a variety of different fault sub-models, multiple simulations are performed on the intelligent active power transmitter to be evaluated, so as to collect simulation data of transient characteristic indicators under various fault conditions, analyze and evaluate the transient characteristics of the intelligent active power transmitter to be evaluated, determine the adaptability of its output signal in the unit coordination control system, and avoid operational failures.

[0006] In some embodiments of the present application, corresponding simulation evaluation values ​​are set according to fault parameters of different fault sub-models, so as to dynamically adjust the simulation data of the intelligent active power transmitter to be evaluated in different fault sub-models, thereby improving data acquisition efficiency, and weighting the first-level evaluation value of each fault sub-model according to the simulation evaluation value, so as to make the evaluation of the transient characteristics of the intelligent active power transmitter to be evaluated more accurate, and timely eliminate the equipment that cannot meet the power measurement requirements in the case of sudden power changes in the power grid, so as to avoid operational failures.

[0007] In some embodiments of the present application, a method for evaluating transient characteristics of an intelligent active power transmitter is provided, comprising:

[0008] Establish multiple fault sub-models based on historical parameters;

[0009] Acquire simulation data of the intelligent active power transmitter to be evaluated in each fault sub-model according to preset simulation parameters;

[0010] Generate a first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model according to all simulation data, and generate a second-level evaluation value of the intelligent active power transmitter to be evaluated according to all first-level evaluation values;

[0011] Among them, when establishing multiple fault sub-models, it includes:

[0012] Generate a fault sub-model sequence A, A = (a1, a2...ai...an), where ai is the i-th fault sub-model and n is the number of fault sub-models.

[0013] In some embodiments of the present application, when the simulation parameters are preset, it includes:

[0014] According to the fault sub-model sequence A, set ai as the target fault sub-model in sequence;

[0015] Obtain the fault category and fault frequency of the target fault sub-model;

[0016] Generate a first reference value H1 according to the fault category;

[0017] generating a second reference value H2 according to the fault frequency;

[0018] Generate a simulation evaluation value b of the target fault sub-model;

[0019] b=w1*H1+w2*H2;

[0020] Wherein, w1 is a preset first weighting coefficient; w2 is a preset second weighting coefficient;

[0021] Generate simulation evaluation values ​​of each fault sub-model in sequence;

[0022] Establish a simulation evaluation value sequence B, B = (b1, b2...bi...bn), where bi is the simulation evaluation value of the i-th fault sub-model;

[0023] The simulation data sampling amount of each fault sub-model is set according to the simulation evaluation value series B.

[0024] In some embodiments of the present application, when setting the simulation data sampling amount of each fault sub-model, it includes:

[0025] Presetting a first simulation evaluation value interval (B1, B2), a second simulation evaluation value interval (B2, B3) and a third simulation evaluation value interval (B3, B4);

[0026] If bi is in the preset first simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset first sampling amount M1, that is, mi=M1;

[0027] If bi is in the preset second simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset second sampling amount M2; that is, mi=M2;

[0028] If bi is in the preset third simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset third sampling amount M3, that is, mi=M3; and M1<M2<M3.

[0029] In some embodiments of the present application, when generating the primary evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model according to all simulation data, it includes:

[0030] Preset multiple transient characteristic indicators;

[0031] According to the fault sub-model sequence A, set ai as the target fault sub-model in sequence;

[0032] Acquire simulation data of the intelligent active power transmitter to be evaluated in the target fault sub-model;

[0033] Preprocess the simulation data;

[0034] Generate the first-level reference value of each transient characteristic index according to the preprocessing results;

[0035] Generate a first-level evaluation value f of the intelligent active power transmitter to be evaluated in the target fault sub-model according to all reference values;

[0036] Generate the first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model in sequence;

[0037] A primary evaluation value sequence F is established, where F = (f1, f2...fi...fn), wherein fi is the primary evaluation value of the intelligent active power transmitter to be evaluated in the i-th fault sub-model.

[0038] In some embodiments of the present application, when generating the first-level evaluation value f, it includes:

[0039]

[0040] Among them, θ is the number of transient characteristic indicators; βi is the influencing factor of the i-th transient characteristic indicator in the target fault sub-model; ci is the primary reference value of the i-th transient characteristic indicator of the intelligent active power transmitter to be evaluated in the target fault sub-model.

[0041] In some embodiments of the present application, when generating the primary reference value of each transient characteristic index according to the preprocessing result, it includes:

[0042] Establish a transient characteristic index sequence J, J = (j1, j2...ji...jθ), where ji is the i-th transient characteristic index; θ is the number of transient characteristic indicators;

[0043] According to the transient characteristic index sequence J, ji is set as the target transient characteristic index in sequence;

[0044] Generate a collection value sequence K of the target transient characteristic index in the target fault submodel according to the preprocessing result, K = (k1, k2...ki...km), m is the simulation data sampling amount of the target fault submodel; ki is the i-th sampling value of the target transient characteristic index;

[0045] Generate the first-level reference value c of the target transient characteristic index according to the collected value series K;

[0046] Generate the primary reference value of each transient characteristic index in turn;

[0047] A primary reference value sequence C is established, C = (c1, c2 ... ci ... cθ), wherein ci is the primary reference value of the i-th transient characteristic index of the intelligent active power transmitter to be evaluated in the target fault submodel.

[0048] In some embodiments of the present application, when generating a primary reference value c of a target transient characteristic index, the method includes:

[0049]

[0050] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; k'1 is the first-level standard reference value of the target transient characteristic index; k'2 is the second-level standard reference value of the target transient characteristic index in the target fault submodel; k' is the average value of all data in the collected value series K.

[0051] In some embodiments of the present application, when generating a secondary evaluation value of the intelligent active power transmitter to be evaluated according to all the primary evaluation values, the method includes:

[0052] The compensation coefficient of each fault sub-model is set according to the simulation evaluation value series B;

[0053] Establish a compensation coefficient sequence G, G = (g1, g2...gi...gn), where gi is the compensation coefficient of the i-th fault sub-model;

[0054] Generate a secondary evaluation value d of the intelligent active power transmitter to be evaluated according to the primary evaluation value sequence F and the compensation coefficient sequence G;

[0055]

[0056] In some embodiments of the present application, when setting the compensation coefficient of each fault sub-model, it includes:

[0057] If bi is in the preset first simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset first compensation coefficient G1, that is, gi=G1;

[0058] If bi is in the preset second simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset second compensation coefficient G2, that is, gi=G2;

[0059] If bi is in the preset third simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset third compensation coefficient G1, that is, gi=G3; and G1<G2<G3.

[0060] Compared with the prior art, the transient characteristic evaluation method of an intelligent active power transmitter in the embodiment of the present application has the following beneficial effects:

[0061] By constructing a variety of different fault sub-models, the intelligent active power transmitter to be evaluated is simulated multiple times, so as to collect simulation data of transient characteristic indicators under various fault states, analyze and evaluate the transient characteristics of the intelligent active power transmitter to be evaluated, determine the adaptability of its output signal in the unit coordinated control system, and avoid operational failures.

[0062] The corresponding simulation evaluation values ​​are set according to the fault parameters of different fault sub-models, so as to dynamically adjust the simulation data of the intelligent active power transmitter to be evaluated in different fault sub-models, thereby improving the data acquisition efficiency, and weighting the first-level evaluation value of each fault sub-model according to the simulation evaluation value, so as to make the evaluation of the transient characteristics of the intelligent active power transmitter to be evaluated more accurate, and timely eliminate the equipment that cannot meet the power measurement requirements under the condition of sudden power change of the power grid to avoid operation failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a flow chart of a transient characteristic evaluation method of an intelligent active power transmitter in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0064] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0065] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0066] 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 the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0067] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0068] like Figure 1 As shown, a transient characteristic evaluation method of an intelligent active power transmitter according to a preferred embodiment of the present application includes:

[0069] S101: Establish multiple fault sub-models according to historical parameters;

[0070] S102: Acquire simulation data of the intelligent active power transmitter to be evaluated in each fault sub-model according to preset simulation parameters;

[0071] S103: generating a first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model according to all simulation data, and generating a second-level evaluation value of the intelligent active power transmitter to be evaluated according to all first-level evaluation values;

[0072] Among them, when establishing multiple fault sub-models, it includes:

[0073] Generate a fault sub-model sequence A, A = (a1, a2...ai...an), where ai is the i-th fault sub-model and n is the number of fault sub-models.

[0074] Specifically, the fault sub-model includes, but is not limited to, transformer startup, transformer short circuit, transformer power-off and reclosing, partial discharge or breakdown, and other operational faults that may cause instantaneous changes in voltage and current.

[0075] Specifically, a typical generator set model is built in the ADPSS simulation software using the collected actual data, and the operating status of the intelligent active power transmitter to be evaluated under each fault category is simulated in turn at the nearest end of the line outlet according to all fault sub-models, so as to collect the transient change waveform of the active power transmitter under each fault type and generate the corresponding simulation data.

[0076] Specifically, when presetting simulation parameters, it includes:

[0077] According to the fault sub-model sequence A, set ai as the target fault sub-model in sequence;

[0078] Obtain the fault category and fault frequency of the target fault sub-model;

[0079] Generate a first reference value H1 according to the fault category;

[0080] generating a second reference value H2 according to the fault frequency;

[0081] Generate a simulation evaluation value b of the target fault sub-model;

[0082] b=w1*H1+w2*H2;

[0083] Wherein, w1 is a preset first weighting coefficient; w2 is a preset second weighting coefficient;

[0084] Generate simulation evaluation values ​​of each fault sub-model in sequence;

[0085] Establish a simulation evaluation value sequence B, B = (b1, b2...bi...bn), where bi is the simulation evaluation value of the i-th fault sub-model;

[0086] The simulation data sampling amount of each fault sub-model is set according to the simulation evaluation value series B.

[0087] Specifically, when the fault type represented by the fault sub-model occurs, the greater the impact on the safe operation of the generator set, the greater the corresponding first reference value. The greater the fault frequency, the greater the corresponding second reference value.

[0088] Specifically, the larger the simulation evaluation value is, the more rapid the transient response of the intelligent active power transmitter to be evaluated is required when the corresponding fault sub-model occurs, so as to avoid interference with the safe operation of the generator set.

[0089] Specifically, when setting the simulation data sampling amount of each fault sub-model, it includes:

[0090] Presetting a first simulation evaluation value interval (B1, B2), a second simulation evaluation value interval (B2, B3) and a third simulation evaluation value interval (B3, B4);

[0091] If bi is in the preset first simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset first sampling amount M1, that is, mi=M1;

[0092] If bi is in the preset second simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset second sampling amount M2; that is, mi=M2;

[0093] If bi is in the preset third simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset third sampling amount M3, that is, mi=M3; and M1<M2<M3.

[0094] It can be understood that in the above embodiment, by constructing a variety of different fault sub-models, the intelligent active power transmitter to be evaluated is simulated multiple times, and the simulation data of the intelligent active power transmitter to be evaluated in different fault sub-models is dynamically adjusted according to the simulation evaluation value, thereby improving data collection efficiency and improving the accuracy of simulation data.

[0095] In a preferred embodiment of the present application, when generating the first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model according to all simulation data, it includes:

[0096] Preset multiple transient characteristic indicators;

[0097] According to the fault sub-model sequence A, set ai as the target fault sub-model in sequence;

[0098] Acquire simulation data of the intelligent active power transmitter to be evaluated in the target fault sub-model;

[0099] Preprocess the simulation data;

[0100] Generate the first-level reference value of each transient characteristic index according to the preprocessing results;

[0101] Generate a first-level evaluation value f of the intelligent active power transmitter to be evaluated in the target fault sub-model according to all reference values;

[0102] Generate the first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model in sequence;

[0103] A primary evaluation value sequence F is established, where F = (f1, f2...fi...fn), wherein fi is the primary evaluation value of the intelligent active power transmitter to be evaluated in the i-th fault sub-model.

[0104] Specifically, when generating the first-level evaluation value f, it includes:

[0105]

[0106] Among them, θ is the number of transient characteristic indicators; βi is the influencing factor of the i-th transient characteristic indicator in the target fault sub-model; ci is the primary reference value of the i-th transient characteristic indicator of the intelligent active power transmitter to be evaluated in the target fault sub-model.

[0107] Specifically, the larger the first-level evaluation value is, the worse the adaptability of the output signal of the intelligent active power transmitter to be evaluated in the unit coordinated control system is when a fault occurs in the target fault sub-model, which is easy to interfere with the safe operation of the generator set.

[0108] Specifically, transient characteristic indicators include but are limited to parameters such as power fluctuation duration, initial response time, maximum power fluctuation, and minimum power fluctuation.

[0109] Specifically, when generating the first-level reference values ​​of various transient characteristic indicators based on the preprocessing results, it includes:

[0110] Establish a transient characteristic index sequence J, J = (j1, j2...ji...jθ), where ji is the i-th transient characteristic index; θ is the number of transient characteristic indicators;

[0111] According to the transient characteristic index sequence J, ji is set as the target transient characteristic index in sequence;

[0112] Generate a collection value sequence K of the target transient characteristic index in the target fault submodel according to the preprocessing result, K = (k1, k2...ki...km), m is the simulation data sampling amount of the target fault submodel; ki is the i-th sampling value of the target transient characteristic index;

[0113] Generate the first-level reference value c of the target transient characteristic index according to the collected value series K;

[0114] Generate the first-level reference value of each transient characteristic index in turn;

[0115] A primary reference value sequence C is established, C = (c1, c2 ... ci ... cθ), wherein ci is the primary reference value of the i-th transient characteristic index of the intelligent active power transmitter to be evaluated in the target fault submodel.

[0116] Specifically, according to the preset simulation data collection amount, the transient change waveform of the active power transmitter under each fault type is collected, and the collection value series of each transient characteristic index is generated after preprocessing the data.

[0117] Specifically, when generating the first-level reference value c of the target transient characteristic index, it includes:

[0118]

[0119] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; k'1 is the first-level standard reference value of the target transient characteristic index; k'2 is the second-level standard reference value of the target transient characteristic index in the target fault submodel; k' is the average value of all data in the collected value series K.

[0120] Specifically, all parameters in the model are normalized by presetting the first fixed coefficient, the second fixed coefficient and the third fixed coefficient, so that each parameter in the model is in the same value range.

[0121] Specifically, according to the relevant provisions of the standard "Electrical Measurement Transmitter for Converting AC Quantity into DC Quantity" (JJG126-1995) and other relevant regulations, the first-level standard reference values ​​of various transient characteristic indicators are set.

[0122] Specifically, based on the historical operating parameters of the generator set, the secondary standard reference values ​​of various transient characteristic indicators are generated when a fault occurs in the target fault sub-model. The secondary standard reference value of a single transient characteristic indicator is more stringent than the primary standard reference value. The more the real-time collected value conforms to the secondary standard reference value, the less likely the unit will have operating problems when a sudden fault occurs.

[0123] It can be understood that in the above embodiment, by constructing a variety of different fault sub-models, the intelligent active power transmitter to be evaluated is simulated multiple times, so as to collect simulation data of transient characteristic indicators under various fault states, analyze and evaluate the transient characteristics of the intelligent active power transmitter to be evaluated, determine the adaptability of its output signal in the unit coordination control system, and avoid operational failures.

[0124] In a preferred embodiment of the present application, when generating the secondary evaluation value of the intelligent active power transmitter to be evaluated according to all the primary evaluation values, it includes:

[0125] The compensation coefficient of each fault sub-model is set according to the simulation evaluation value series B;

[0126] Establish a compensation coefficient sequence G, G = (g1, g2...gi...gn), where gi is the compensation coefficient of the i-th fault sub-model;

[0127] Generate a secondary evaluation value d of the intelligent active power transmitter to be evaluated according to the primary evaluation value sequence F and the compensation coefficient sequence G;

[0128]

[0129] Specifically, the larger the secondary evaluation value is, the worse the power measurement accuracy of the current intelligent active power transmitter to be evaluated is when the power grid changes suddenly.

[0130] Specifically, the secondary evaluation value threshold is set according to the historical parameters. When the secondary evaluation value d is greater than the secondary evaluation value threshold, it means that the intelligent active power transmitter to be evaluated cannot meet the power measurement requirements under the condition of sudden power changes in the power grid, and it needs to be eliminated in time to avoid operating failures of the generator set.

[0131] Specifically, when setting the compensation coefficient of each fault sub-model, it includes:

[0132] If bi is in the preset first simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset first compensation coefficient G1, that is, gi=G1;

[0133] If bi is in the preset second simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset second compensation coefficient G2, that is, gi=G2;

[0134] If bi is in the preset third simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset third compensation coefficient G1, that is, gi=G3; and G1<G2<G3.

[0135] Specifically, the primary evaluation value of each fault sub-model is weighted according to the simulation evaluation value, so that the evaluation of the transient characteristics of the intelligent active power transmitter to be evaluated is more accurate.

[0136] According to the first concept of the present application, by constructing a variety of different fault sub-models, multiple simulations are performed on the intelligent active power transmitter to be evaluated, so as to collect simulation data of transient characteristic indicators under various fault conditions, analyze and evaluate the transient characteristics of the intelligent active power transmitter to be evaluated, determine the adaptability of its output signal in the unit coordination control system, and avoid operational failures.

[0137] According to the second concept of the present application, corresponding simulation evaluation values ​​are set according to the fault parameters of different fault sub-models, so as to dynamically adjust the simulation data of the intelligent active power transmitter to be evaluated in different fault sub-models, thereby improving the data acquisition efficiency, and weighting the first-level evaluation value of each fault sub-model according to the simulation evaluation value, so as to make the evaluation of the transient characteristics of the intelligent active power transmitter to be evaluated more accurate, and timely eliminate the equipment that cannot meet the power measurement requirements in the case of sudden power changes in the power grid, so as to avoid operational failures.

[0138] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A transient characteristics evaluation method for an intelligent active power transmitter, characterized in that: include: Establish multiple fault sub-models based on historical parameters; Acquire simulation data of the intelligent active power transmitter to be evaluated in each fault sub-model according to preset simulation parameters; Generate a first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model according to all simulation data, and generate a second-level evaluation value of the intelligent active power transmitter to be evaluated according to all first-level evaluation values; Among them, when establishing multiple fault sub-models, it includes: Generate a fault sub-model sequence A, A = (a1, a2...ai...an), where ai is the i-th fault sub-model and n is the number of fault sub-models.

2. The transient characteristics evaluation method of the intelligent active power transmitter according to claim 1, characterized in that: When presetting simulation parameters, include: According to the fault sub-model sequence A, set ai as the target fault sub-model in sequence; Obtain the fault category and fault frequency of the target fault sub-model; Generate a first reference value H1 according to the fault category; generating a second reference value H2 according to the fault frequency; Generate a simulation evaluation value b of the target fault sub-model; b=w1*H1+w2*H2; Wherein, w1 is a preset first weighting coefficient; w2 is a preset second weighting coefficient; Generate simulation evaluation values ​​of each fault sub-model in sequence; Establish a simulation evaluation value sequence B, B = (b1, b2...bi...bn), where bi is the simulation evaluation value of the i-th fault sub-model; The simulation data sampling amount of each fault sub-model is set according to the simulation evaluation value series B.

3. The transient characteristic evaluation method of the intelligent active power transmitter according to claim 2, characterized in that: When setting the simulation data sampling amount for each fault sub-model, include: Presetting a first simulation evaluation value interval (B1, B2), a second simulation evaluation value interval (B2, B3) and a third simulation evaluation value interval (B3, B4); If bi is in the preset first simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset first sampling amount M1, that is, mi=M1; If bi is in the preset second simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset second sampling amount M2; that is, mi=M2; If bi is in the preset third simulation evaluation value interval, the simulation data sampling amount mi of the i-th fault sub-model is set to the preset third sampling amount M3, that is, mi=M3; and M1<M2<M3.

4. The transient characteristic evaluation method of the intelligent active power transmitter according to claim 2, characterized in that: When generating the first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model according to all simulation data, it includes: Preset multiple transient characteristic indicators; According to the fault sub-model sequence A, set ai as the target fault sub-model in sequence; Acquire simulation data of the intelligent active power transmitter to be evaluated in the target fault sub-model; Preprocess the simulation data; Generate the first-level reference value of each transient characteristic index according to the preprocessing results; Generate a first-level evaluation value f of the intelligent active power transmitter to be evaluated in the target fault sub-model according to all reference values; Generate the first-level evaluation value of the intelligent active power transmitter to be evaluated in each fault sub-model in sequence; A primary evaluation value sequence F is established, where F = (f1, f2...fi...fn), wherein fi is the primary evaluation value of the intelligent active power transmitter to be evaluated in the i-th fault sub-model.

5. The transient characteristic evaluation method of the intelligent active power transmitter according to claim 4, characterized in that: When generating the first-level evaluation value f, it includes: Among them, θ is the number of transient characteristic indicators; βi is the influencing factor of the i-th transient characteristic indicator in the target fault sub-model; ci is the primary reference value of the i-th transient characteristic indicator of the intelligent active power transmitter to be evaluated in the target fault sub-model.

6. The transient characteristic evaluation method of the intelligent active power transmitter according to claim 4, characterized in that: When generating the primary reference values ​​of various transient characteristic indicators based on the preprocessing results, it includes: Establish a transient characteristic index sequence J, J = (j1, j2...ji...jθ), where ji is the i-th transient characteristic index; θ is the number of transient characteristic indicators; According to the transient characteristic index sequence J, ji is set as the target transient characteristic index in sequence; Generate a collection value sequence K of the target transient characteristic index in the target fault submodel according to the preprocessing result, K = (k1, k2...ki...km), m is the simulation data sampling amount of the target fault submodel; ki is the i-th sampling value of the target transient characteristic index; Generate the first-level reference value c of the target transient characteristic index according to the collected value series K; Generate the first-level reference value of each transient characteristic index in turn; A primary reference value sequence C is established, C = (c1, c2 ... ci ... cθ), wherein ci is the primary reference value of the i-th transient characteristic index of the intelligent active power transmitter to be evaluated in the target fault submodel.

7. The transient characteristic evaluation method of the intelligent active power transmitter according to claim 6, characterized in that: When generating the first-level reference value c of the target transient characteristic index, it includes: Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; k'1 is the first-level standard reference value of the target transient characteristic index; k'2 is the second-level standard reference value of the target transient characteristic index in the target fault submodel; k' is the average value of all data in the collected value series K.

8. The transient characteristic evaluation method of the intelligent active power transmitter according to claim 6, characterized in that: When generating the secondary evaluation value of the intelligent active power transmitter to be evaluated according to all the primary evaluation values, it includes: The compensation coefficient of each fault sub-model is set according to the simulation evaluation value series B; Establish a compensation coefficient sequence G, G = (g1, g2...gi...gn), where gi is the compensation coefficient of the i-th fault sub-model; Generate a secondary evaluation value d of the intelligent active power transmitter to be evaluated according to the primary evaluation value sequence F and the compensation coefficient sequence G; 9. The transient characteristic evaluation method of the intelligent active power transmitter according to claim 8, characterized in that: When setting the compensation coefficients of each fault sub-model, include: If bi is in the preset first simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset first compensation coefficient G1, that is, gi=G1; If bi is in the preset second simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset second compensation coefficient G2, that is, gi=G2; If bi is in the preset third simulation evaluation value interval, the compensation coefficient gi of the i-th fault sub-model is set to the preset third compensation coefficient G1, that is, gi=G3; and G1<G2<G3.

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