CN117911195B

CN117911195B - Asynchronous motor cluster equivalent model parameter identification method and device

Info

Publication number: CN117911195B
Application number: CN202410306916.3A
Authority: CN
Inventors: 唐震; 潘捷; 王伟; 寇鹏; 慕国行; 张智豪; 薛志伟; 梅铭洋; 杨虹; 柴华; 刘宇; 陈昱同; 杨冬冬; 郑志宏; 李小婧; 徐玉东; 程胤璋; 张凯; 董理科; 白雪婷
Original assignee: State Grid Electric Power Research Institute Of Sepc; Xian Jiaotong University
Current assignee: State Grid Electric Power Research Institute Of Sepc; Xian Jiaotong University
Filing date: 2024-03-18
Publication date: 2024-06-25
Anticipated expiration: 2044-03-18

Abstract

The invention relates to the technical field of modeling of electric power systems, and discloses a method and a device for identifying parameters of an equivalent model of an asynchronous motor cluster, wherein the method comprises the steps of measuring electromagnetic parameters, substituting the electromagnetic parameters into an electromagnetic dynamic model of the asynchronous motor, and obtaining electromagnetic power at k slip sampling points; based on the sum of electromagnetic power at N slip sampling points of each two asynchronous motors, clustering after calculating similarity distances to obtain a plurality of clusters; carrying out weighted average on all electromagnetic parameters of the asynchronous motor based on the capacity of the asynchronous motor to obtain rough electromagnetic parameters, and obtaining a preset parameter value range of the target electromagnetic parameters; substituting the target electromagnetic parameters into an electromagnetic dynamic model to obtain target electromagnetic power; based on the electromagnetic power and the target electromagnetic power, the difference value of the electromagnetic power of the cluster is obtained, an optimized target function is constructed, the corresponding target electromagnetic parameter with the minimum function value is obtained, the model parameter is accurately identified, the accurate equivalent model of the cluster of the asynchronous motor is obtained, and the accurate control of the asynchronous motor is realized.

Description

Asynchronous motor cluster equivalent model parameter identification method and device

Technical Field

The invention relates to the technical field of modeling of power systems, in particular to a method and a device for identifying equivalent model parameters of an asynchronous motor cluster.

Background

The accuracy of the power system model is a decisive factor for the accuracy of analysis and control simulation calculation of the power system, and the accuracy of modeling the power system load serving as an important part in the model directly influences the quality of a simulation result. In all loads of the power system, the electric energy consumed by the asynchronous motor is more than half, and in industrial loads, the electric energy consumed by the asynchronous motor is even more than 90%, so that the equivalent modeling of the asynchronous motor is very important.

Along with the continuous increase of new energy permeability in the power system, the accuracy of a model established by the traditional capacity weighted modeling method of the asynchronous motor can not meet the requirements of simulation and analysis of the power system. The prior patent CN116244895A discloses a dynamic equivalent modeling method of an asynchronous motor in a new energy power system, and the patent groups the asynchronous motor according to the running condition of the new energy, and then uses capacity weighting to carry out parameter aggregation. Because the electromagnetic power and the electromagnetic parameters of the asynchronous motor are strongly coupled and highly nonlinear, the rough electromagnetic parameters of the equivalent model of the asynchronous motor cluster are calculated by using a capacity weighting method, the electromagnetic dynamics of the asynchronous motor cluster are difficult to accurately reflect, the parameter identification precision is low, the equivalent model error is large, and the accurate control of the asynchronous motor cannot be realized based on the accurate equivalent model.

Disclosure of Invention

Therefore, the invention aims to solve the technical problems of low precision and large error in the prior art that the rough electromagnetic parameters of the equivalent model of the asynchronous motor cluster are calculated by using a capacity weighting method only.

In order to solve the technical problems, the invention provides a method for identifying parameters of an equivalent model of an asynchronous motor cluster, which comprises the following steps:

Based on a simplified equivalent circuit of each asynchronous motor in the power system, measuring to obtain electromagnetic parameters of each asynchronous motor; collecting slip ratios at N sampling points in a preset value range of the slip ratio of the asynchronous motor, wherein k is more than or equal to 1 and less than or equal to N, and N represents the total sampling point number of the slip ratio of the asynchronous motor;

Substituting electromagnetic parameters of each asynchronous motor into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor to obtain electromagnetic power at the kth slip sampling point of each asynchronous motor;

calculating the similarity distance between the sum of the electromagnetic power at N slip sampling points of each asynchronous motor and the sum of the electromagnetic power at N slip sampling points of the rest asynchronous motors in the power system;

Clustering all asynchronous motors in the power system based on the similarity distance, and dividing the power system into a plurality of asynchronous motor clusters;

for each asynchronous motor cluster, taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of electromagnetic parameters of each asynchronous motor, and carrying out weighted average on the electromagnetic parameters of all asynchronous motors in the asynchronous motor cluster to obtain rough electromagnetic parameters of an equivalent model of the asynchronous motor cluster;

Acquiring a preset parameter value range of a target electromagnetic parameter of the equivalent model of the asynchronous motor cluster based on the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster;

Substituting the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster into an electromagnetic dynamic model at the kth slip sampling point of the asynchronous motor to obtain target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster;

Based on the sum of electromagnetic power at the kth slip sampling point of all asynchronous motors in the asynchronous motor cluster and target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster, acquiring a cluster electromagnetic power difference value at the kth slip sampling point; constructing an optimization objective function based on the cluster electromagnetic power difference values at the N slip sampling points; and changing the target electromagnetic parameters in the preset parameter value range to obtain the target electromagnetic parameters corresponding to the minimum optimized target function value, and obtaining the equivalent model of the asynchronous motor cluster by taking the target electromagnetic parameters as the electromagnetic parameters of the equivalent model of the asynchronous motor cluster.

Preferably, the electromagnetic parameters of the asynchronous motor include stator resistance, rotor resistance, stator reactance and rotor reactance.

Preferably, the step of obtaining a simplified equivalent circuit of the asynchronous motor comprises:

rotor winding conversion and frequency conversion are carried out on the asynchronous motor, and a T-shaped equivalent circuit corresponding to the asynchronous motor is obtained;

And inputting the excitation branch to the input end of the T-shaped equivalent circuit to obtain a simplified equivalent circuit of the asynchronous motor.

Preferably, the electromagnetic parameters of each asynchronous motor are substituted into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor, and the electromagnetic power at the kth slip sampling point of each asynchronous motor is obtained and expressed as:

；

Wherein, Representing the/>, in an electrical power systemElectromagnetic power of asynchronous motor at kth slip sampling point,/>Representing the number of stator phases of an asynchronous motor,/>Representing the rotor current value after conversion of an asynchronous motor,/>Representing slip at the kth slip sample point,/>Representing the stator voltage value of an asynchronous motor,/>Representing the/>, in an electrical power systemStator resistance of a table asynchronous motor,/>Representing the/>, in an electrical power systemRotor resistance of a table asynchronous motor,/>Representing the/>, in an electrical power systemStator reactance of a table asynchronous motor,/>Representing the/>, in an electrical power systemRotor reactance of a table asynchronous motor.

Preferably, the similarity distance between the sum of the electromagnetic power at the N slip sampling points of each asynchronous motor and the sum of the electromagnetic power at the N slip sampling points of each other asynchronous motor in the electric power system is expressed as:

；

Wherein, Representing the/>, in an electrical power systemThe similarity distance between the electromagnetic power of the asynchronous motor and the electromagnetic power of the jth asynchronous motor in the electric power system; /(I)Is a preset power reference value; n represents the total number of sampling points of slip of the asynchronous motor,/>Representing the/>, in an electrical power systemElectromagnetic power of the asynchronous motor at the kth slip sampling point,Representing the electromagnetic power of the jth asynchronous motor at the kth slip sampling point in the power system.

Preferably, the weighting average is performed on the electromagnetic parameters of all the asynchronous motors in the asynchronous motor cluster by taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all the asynchronous motors in the asynchronous motor cluster as the weight of each electromagnetic parameter of each asynchronous motor to obtain rough electromagnetic parameters of an equivalent model of the asynchronous motor cluster, including:

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the stator resistance of each asynchronous motor, carrying out weighted average on the stator resistances of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameters of the stator resistances of the equivalent model of the asynchronous motor cluster ：；

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the rotor resistance of each asynchronous motor, carrying out weighted average on the rotor resistances of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameter of the rotor resistance of the equivalent model of the asynchronous motor cluster：；

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the stator reactance of each asynchronous motor, carrying out weighted average on the stator reactance of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameter of the stator reactance of the equivalent model of the asynchronous motor cluster：；

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the rotor reactance of each asynchronous motor, carrying out weighted average on the rotor reactance of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough rotor reactance parameter of the equivalent model of the asynchronous motor cluster：；

Wherein,Representing the total number of asynchronous motors in an asynchronous motor cluster,/>Representing the capacity of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the sum of all asynchronous motor capacities in the asynchronous motor cluster; /(I)Representing stator resistance of ith asynchronous motor in asynchronous motor cluster,/>Representing the rotor resistance of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the stator reactance of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the rotor reactance of the i-th asynchronous motor in the asynchronous motor cluster.

Preferably, the obtaining the preset parameter value range of the target electromagnetic parameter of the equivalent model of the asynchronous motor cluster based on the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster includes:

Target stator resistance Is a preset parameter value range: /(I)，/>Stator resistance rough parameters of an equivalent model of the asynchronous motor cluster;

Target rotor resistance Is a preset parameter value range: /(I)，/>Rotor resistance rough parameters of an asynchronous motor cluster equivalent model;

Target stator reactance Is a preset parameter value range: /(I)，/>Stator reactance rough parameters of an equivalent model of the asynchronous motor cluster;

Target rotor reactance Is a preset parameter value range: /(I)，/>The rotor reactance rough parameter is an asynchronous motor cluster equivalent model.

Preferably, the substituting the target electromagnetic parameter of the equivalent model of the asynchronous motor cluster into the electromagnetic dynamic model at the kth slip sampling point of the asynchronous motor to obtain the target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster is expressed as:

；

Wherein, Representing a target electromagnetic power at a kth slip sampling point of the asynchronous motor cluster; /(I)Representing the number of stator phases of an asynchronous motor,/>Representing the stator voltage value of an asynchronous motor,/>Representing the slip at the kth slip sample point; /(I)Representing the target rotor resistance of an asynchronous motor cluster,/>Representing the target stator resistance of an asynchronous motor cluster,/>Representing the target stator reactance of an asynchronous motor cluster,/>Representing the target rotor reactance of the asynchronous motor cluster.

Preferably, the method comprises the steps that a difference value of the electromagnetic power of the cluster at the kth slip sampling point is obtained based on the sum of the electromagnetic power at the kth slip sampling point of all asynchronous motors in the asynchronous motor cluster and the target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster; based on the cluster electromagnetic power difference values at N slip sampling points, an optimization objective function is constructed, expressed as:

；

wherein the objective function is optimized Representation of the result value/>Performing minimization; /(I)Representing a target electromagnetic power at a kth slip sampling point of the asynchronous motor cluster; n represents the total number of sampling points of slip of the asynchronous motor; representing electromagnetic power at a kth slip sampling point of an ith asynchronous motor in an asynchronous motor cluster; representing the sum of the electromagnetic power at the kth slip sampling point of all asynchronous motors in an asynchronous motor cluster,/> Representing the total number of asynchronous motors in the asynchronous motor cluster.

The invention also provides an asynchronous motor cluster equivalent model parameter identification device, which comprises:

The electromagnetic power calculation module is used for measuring and obtaining electromagnetic parameters of each asynchronous motor based on a simplified equivalent circuit of each asynchronous motor in the power system; collecting slip ratios at N sampling points in a preset value range of slip ratios of the asynchronous motor, wherein k is more than or equal to 1 and less than or equal to N; substituting electromagnetic parameters of each asynchronous motor into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor to obtain electromagnetic power at the kth slip sampling point of each asynchronous motor;

The clustering module is used for calculating the similarity distance between the sum of the electromagnetic power at N slip sampling points of each asynchronous motor and the sum of the electromagnetic power at N slip sampling points of the rest asynchronous motors in the power system; clustering all asynchronous motors in the power system based on the similarity distance, and dividing the power system into a plurality of asynchronous motor clusters;

The target electromagnetic parameter value range calculation module is used for weighting and averaging the electromagnetic parameters of all the asynchronous motors in the asynchronous motor clusters by taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all the asynchronous motors in the asynchronous motor clusters as the weight of the electromagnetic parameters of each asynchronous motor to obtain rough electromagnetic parameters of an equivalent model of the asynchronous motor clusters; acquiring a preset parameter value range of a target electromagnetic parameter of the equivalent model of the asynchronous motor cluster based on the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster;

The target electromagnetic power calculation module is used for substituting the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster into the electromagnetic dynamic model at the kth slip sampling point of the asynchronous motor to obtain the target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster;

The model optimization module is used for acquiring a cluster electromagnetic power difference value at a kth slip sampling point based on the sum of electromagnetic power at the kth slip sampling point of all asynchronous motors in the asynchronous motor cluster and a target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster; constructing an optimization objective function based on the cluster electromagnetic power difference values at the N slip sampling points; and changing the target electromagnetic parameters in the preset parameter value range to obtain the target electromagnetic parameters corresponding to the minimum optimized target function value, and obtaining the equivalent model of the asynchronous motor cluster by taking the target electromagnetic parameters as the electromagnetic parameters of the equivalent model of the asynchronous motor cluster.

Compared with the prior art, the technical scheme of the invention has the following beneficial effects:

According to the method for identifying the parameters of the equivalent model of the asynchronous motor cluster, after the rough electromagnetic parameters of the equivalent model of the asynchronous motor cluster are obtained through the method for weighting the capacity of the asynchronous motor, the preset parameter value range of the target electromagnetic parameters is obtained based on the rough electromagnetic parameters; based on the electromagnetic power sum of the kth slip sampling points of all asynchronous motors in the asynchronous motor cluster and the cluster electromagnetic power difference value of the target electromagnetic power of the kth slip sampling points of the asynchronous motor cluster, obtaining the cluster electromagnetic power difference values of the N slip sampling points to construct an optimized objective function; and selecting the target electromagnetic parameter with the minimum optimization objective function from the preset parameter value range of the target electromagnetic parameter as the electromagnetic parameter of the equivalent model of the asynchronous motor cluster, thereby obtaining the equivalent model of the asynchronous motor cluster. After the rough electromagnetic parameters are obtained by using the capacity weighting method, the preset parameter value range of the target electromagnetic parameters is further reasonably set, so that the finally identified electromagnetic parameters are ensured to have practical significance, and the practicability and reliability of the model are improved; according to the invention, the electromagnetic power is solved based on electromagnetic parameters, an optimized objective function is constructed based on the electromagnetic power, data used in the process contains strong coupling and highly nonlinear information, and the optimal objective function is minimized by minimizing the difference between the sum of the electromagnetic powers of all the asynchronous motors in the asynchronous motor cluster and the target electromagnetic power of the asynchronous motor cluster, so that the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster gradually approach to the optimal electromagnetic parameters in the optimization process, and the nonlinear relation between the electromagnetic parameters and the electromagnetic power is better captured, thereby obtaining the target electromagnetic power capable of accurately reflecting the asynchronous motor cluster, further obtaining more accurate target electromagnetic parameters, improving the model parameter identification accuracy, and realizing the accurate control of the asynchronous motor based on the accurate equivalent model of the asynchronous motor cluster.

Drawings

In order that the invention may be more readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings, in which:

FIG. 1 is a flow chart of the steps of the method for identifying equivalent model parameters of an asynchronous motor cluster;

fig. 2 is a graph showing the variation of electromagnetic power of different asynchronous motors according to slip sampling points.

Detailed Description

The present invention will be further described with reference to the accompanying drawings and specific examples, which are not intended to be limiting, so that those skilled in the art will better understand the invention and practice it.

Referring to fig. 1, the step flow chart of the method for identifying parameters of equivalent models of asynchronous motor clusters provided by the invention specifically comprises the following steps:

S101: based on a simplified equivalent circuit of each asynchronous motor in the power system, measuring to obtain electromagnetic parameters of each asynchronous motor; collecting slip ratios at N sampling points in a preset value range of the slip ratio of the asynchronous motor, wherein k is more than or equal to 1 and less than or equal to N, and N represents the total sampling point number of the slip ratio of the asynchronous motor;

S102: substituting electromagnetic parameters of each asynchronous motor into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor, and acquiring electromagnetic power at the kth slip sampling point of each asynchronous motor, wherein the electromagnetic power is expressed as:

；

S103: calculating the similarity distance between the sum of the electromagnetic power at N slip sampling points of each asynchronous motor and the sum of the electromagnetic power at N slip sampling points of the rest of each asynchronous motor in the power system, wherein the similarity distance is expressed as:

；

S104: clustering all asynchronous motors in the power system based on the similarity distance, and dividing the power system into a plurality of asynchronous motor clusters;

S105: for each asynchronous motor cluster, taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of electromagnetic parameters of each asynchronous motor, and carrying out weighted average on the electromagnetic parameters of all asynchronous motors in the asynchronous motor cluster to obtain rough electromagnetic parameters of an equivalent model of the asynchronous motor cluster;

s106: acquiring a preset parameter value range of a target electromagnetic parameter of the equivalent model of the asynchronous motor cluster based on the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster;

S107: substituting the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster into an electromagnetic dynamic model at the kth slip sampling point of the asynchronous motor to obtain target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster, wherein the target electromagnetic power is expressed as follows:

；

S108: based on the sum of electromagnetic power at the kth slip sampling point of all asynchronous motors in the asynchronous motor cluster and target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster, acquiring a cluster electromagnetic power difference value at the kth slip sampling point; constructing an optimization objective function based on the cluster electromagnetic power difference values at the N slip sampling points; and changing the target electromagnetic parameters in the preset parameter value range to obtain the target electromagnetic parameters corresponding to the minimum optimized target function value, and obtaining the equivalent model of the asynchronous motor cluster by taking the target electromagnetic parameters as the electromagnetic parameters of the equivalent model of the asynchronous motor cluster.

According to the method for identifying the parameters of the equivalent model of the asynchronous motor cluster, after the rough electromagnetic parameters of the equivalent model of the asynchronous motor cluster are obtained through the method for weighting the capacity of the asynchronous motor, the preset parameter value range of the target electromagnetic parameters is obtained based on the rough electromagnetic parameters; based on the electromagnetic power sum of the kth slip sampling points of all asynchronous motors in the asynchronous motor cluster and the cluster electromagnetic power difference value of the target electromagnetic power of the kth slip sampling points of the asynchronous motor cluster, obtaining the cluster electromagnetic power difference values of the N slip sampling points to construct an optimized objective function; and selecting the target electromagnetic parameter with the minimum optimization objective function from the preset parameter value range of the target electromagnetic parameter as the electromagnetic parameter of the equivalent model of the asynchronous motor cluster, thereby obtaining the equivalent model of the asynchronous motor cluster.

Specifically, in the embodiment of the invention, electromagnetic parameters of the asynchronous motor include stator resistance, rotor resistance, stator reactance and rotor reactance.

Specifically, in step S101, the step of obtaining a simplified equivalent circuit of each asynchronous motor in the electric power system includes: rotor winding conversion and frequency conversion are carried out on the asynchronous motor, and a T-shaped equivalent circuit corresponding to the asynchronous motor is obtained; and inputting the excitation branch to the input end of the T-shaped equivalent circuit to obtain a simplified equivalent circuit of the asynchronous motor.

Specifically, in step S105, the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster is used as the weight of the electromagnetic parameters of each asynchronous motor, and the electromagnetic parameters of all asynchronous motors in the asynchronous motor cluster are weighted and averaged to obtain the rough electromagnetic parameters of the equivalent model of the asynchronous motor cluster, which includes:

S105-1: taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the stator resistance of each asynchronous motor, carrying out weighted average on the stator resistances of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameters of the stator resistances of the equivalent model of the asynchronous motor cluster ：；

S105-2: taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the rotor resistance of each asynchronous motor, carrying out weighted average on the rotor resistances of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameter of the rotor resistance of the equivalent model of the asynchronous motor cluster：；

S105-3: taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the stator reactance of each asynchronous motor, carrying out weighted average on the stator reactance of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameter of the stator reactance of the equivalent model of the asynchronous motor cluster：；

S105-4: taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the rotor reactance of each asynchronous motor, carrying out weighted average on the rotor reactance of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough rotor reactance parameter of the equivalent model of the asynchronous motor cluster：；

In step S106, based on the rough electromagnetic parameters of the equivalent model of the asynchronous motor cluster, a preset parameter value range of the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster is obtained, which includes:

Specifically, the preset parameter value range of the target electromagnetic parameter has no definite standard, and in practice, the value range may beWherein a is an arbitrary number between 0 and 1, and b is an arbitrary number between 1 and infinity. The smaller a is, the larger b is, the larger the range of the preset parameter is, but correspondingly, the larger the difference between the target electromagnetic parameter and the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster is likely to be. In general,/>All are true, so that a and b are set to 0.5 and 1.5 respectively in the embodiment of the invention, so that the situation that the difference between the target electromagnetic parameter and the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster is too large and the acquired target electromagnetic parameter is seriously deviated from the actual situation is avoided. In other embodiments of the present invention, different values may be set for a and b according to specific application scenarios, so as to provide different preset parameter value ranges of the target electromagnetic parameter.

After the rough electromagnetic parameters are obtained by the capacity weighting method, the preset parameter value range of the target electromagnetic parameters is further reasonably set, so that the finally identified electromagnetic parameters are guaranteed to have practical significance, and the practicability and reliability of the model are improved.

Specifically, in step S108, a cluster electromagnetic power difference value at the kth slip sampling point is obtained based on the sum of the electromagnetic powers at the kth slip sampling point of all the asynchronous motors in the asynchronous motor cluster and the target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster; based on the cluster electromagnetic power difference values at N slip sampling points, an optimization objective function is constructed, expressed as:

；

wherein the objective function is optimized Representation of the result value/>Performing minimization; /(I)Representing a target electromagnetic power at a kth slip sampling point of the asynchronous motor cluster; n represents the total number of sampling points of slip of the asynchronous motor; the electromagnetic power at the kth slip sampling point of the ith asynchronous motor in the asynchronous motor cluster is expressed as/> ；/>Representing the number of stator phases of an asynchronous motor,/>Representing the rotor current value after conversion of an asynchronous motor,/>Representing slip at the kth slip sample point,/>Representing the stator voltage value of an asynchronous motor,/>Representing stator resistance of ith asynchronous motor in asynchronous motor cluster,/>Representing the rotor resistance of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the stator reactance of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the rotor reactance of an ith asynchronous motor in the asynchronous motor cluster; /(I)Representing the sum of the electromagnetic power at the kth slip sampling point of all asynchronous motors in an asynchronous motor cluster,/>Representing the total number of asynchronous motors in the asynchronous motor cluster.

In the embodiment of the invention, after the optimization objective function is constructed, an optimization algorithm for minimizing the optimization objective function comprises: genetic algorithm, particle swarm algorithm, and ant colony algorithm.

According to the invention, the electromagnetic power is solved based on electromagnetic parameters, an optimized objective function is constructed based on the electromagnetic power, data used in the process contains strong coupling and highly nonlinear information, and the optimal objective function is minimized by minimizing the difference between the sum of the electromagnetic powers of all the asynchronous motors in the asynchronous motor cluster and the target electromagnetic power of the asynchronous motor cluster, so that the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster gradually approach to the optimal electromagnetic parameters in the optimization process, and the nonlinear relation between the electromagnetic parameters and the electromagnetic power is better captured, thereby obtaining the target electromagnetic power capable of accurately reflecting the asynchronous motor cluster, further obtaining more accurate target electromagnetic parameters, improving the model parameter identification accuracy, and realizing the accurate control of the asynchronous motor based on the accurate equivalent model of the asynchronous motor cluster.

Based on the above embodiment, in the embodiment of the present invention, the method for identifying the equivalent model parameters of the asynchronous motor cluster provided by the present invention is used to identify the equivalent model parameters of a certain asynchronous motor cluster in a certain power system, and obtain the equivalent model of the asynchronous motor cluster. In the embodiment, firstly, the asynchronous motors are clustered according to electromagnetic power, the electromagnetic parameters of each asynchronous motor in the same class are weighted and averaged according to the capacity of each asynchronous motor, the electromagnetic parameters of an equivalent model of the asynchronous motor cluster are roughly obtained, finally, the problem of optimal identification of the parameters of the equivalent model of the asynchronous motor cluster is built, and the electromagnetic parameters are optimized to obtain a more accurate equivalent model; the method comprises the following specific steps:

S201: based on an asynchronous motor circuit, rotor winding conversion and frequency conversion are carried out on the asynchronous motor to obtain a T-shaped equivalent circuit, an excitation branch is moved to an input end to obtain a simplified equivalent circuit of the asynchronous motor, and electromagnetic parameters such as stator resistance, rotor resistance, stator reactance, rotor reactance and the like of each asynchronous motor are obtained on the basis; as shown in table 1, electromagnetic parameters of the respective motors according to the present embodiment are shown;

table 1 electromagnetic parameters of various motors

Numbering device	Stator resistor	Rotor resistor	Stator reactance	Rotor reactance
					1	0.0146	0.0171	0.088	0.0745
2	0.0173	0.0364	0.094	0.0762
					3	0.0154	0.0174	0.097	0.0765
4	0.0181	0.0383	0.082	0.0843
					5	0.0178	0.0352	0.096	0.0793
6	0.0163	0.0175	0.079	0.0752

S202: according to electromagnetic parameters of each asynchronous motor, simplifying an equivalent circuit and the electromagnetic parameters, substituting the electromagnetic parameters of the asynchronous motor into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor, and acquiring electromagnetic power at the kth slip sampling point of the asynchronous motor, wherein the electromagnetic power is expressed as:

；

Wherein, Representing the number of stator phases of an asynchronous motor,/>Represents the rotor current value after the conversion of the asynchronous motor,Representing slip at the kth slip sample point,/>Representing the stator voltage value of an asynchronous motor,/>Representing the/>, in an electrical power systemStator resistance of a table asynchronous motor,/>Representing the/>, in an electrical power systemRotor resistance of a table asynchronous motor,/>Representing the/>, in an electrical power systemStator reactance of a table asynchronous motor,/>Representing the/>, in an electrical power systemRotor reactance of a table asynchronous motor.

S203: according to the stator resistance, rotor resistance, stator reactance and rotor reactance of each asynchronous motor, obtaining the electromagnetic power change curve of each asynchronous motor, establishing the characteristic curve of the electromagnetic power change along with the slip ratio, and constructing the similarity distance of each asynchronous motor, wherein the similarity distance is expressed as follows:

Similarity distance between electromagnetic power of ith asynchronous motor and electromagnetic power of jth asynchronous motor Expressed as: /(I)；

Wherein,Representing the power reference value, which in this embodiment is 2 x 10 ⁶; n represents the total number of samples of slip,/>Representing the/>, in an electrical power systemElectromagnetic power of the asynchronous motor at the kth slip sampling point,Representing the electromagnetic power of the jth asynchronous motor at the kth slip sampling point in the power system.

Referring to fig. 2, a graph of electromagnetic power variation of different asynchronous motors according to slip sampling points is shown; for an asynchronous motor, the preset value range of the slip ratio is [0,1]; in this embodiment, the sampling total point number n=1/0.1=10 of the slip of the asynchronous motor is divided by 0.1 step, and s (1) =0.1, s (2) =0.2, …, s (k) =0.1×k, …, s (10) =1. Curves 1, 2, 3, 4, 5,6 in fig. 2 represent the electromagnetic power of six different asynchronous motors, respectivelyA curve that varies with slip s.

In this embodiment, the similarity distances between different asynchronous motors are shown in table 2:

table 2 similarity distance values between different asynchronous motors

Numbering device	2	3	4	5	6
						1	0.1655	0.0452	0.1963	0.1299	0.0443
2	-	0.2108	0.0308	0.0357	0.1212
						3	-	-	0.2415	0.1751	0.0896
4	-	-	-	0.0664	0.1519
						5	-	-	-	-	0.0855

S204: based on the electromagnetic power similarity distance of every two asynchronous motors, clustering the asynchronous motors by using a K-means algorithm, wherein the asynchronous motors with small similarity distances are clustered into the same cluster;

In the present embodiment, the asynchronous motors numbered 1,3, and 6 are classified into a first cluster, and the asynchronous motors numbered 2, 3, and 5 are classified into a second cluster.

S205: for a first cluster consisting of asynchronous motors with the numbers of 1,3 and 6, weighting the electromagnetic parameters of each asynchronous motor in the first cluster according to the capacity of each asynchronous motor, and obtaining the corresponding weighted rough electromagnetic parameters; averaging the rough electromagnetic parameters of all asynchronous motors in the first cluster to obtain rough parameters of a first cluster equivalent model, wherein the rough parameters comprise:

stator resistance rough parameters of the first cluster equivalent model: ；

rotor resistance rough parameter of first cluster equivalent model: ；

stator reactance rough parameter of first cluster equivalent model: ；

rotor reactance rough parameter of first cluster equivalent model: ；

Wherein, Representing the total number of asynchronous motors in an asynchronous motor cluster,/>Representing the capacity of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the sum of all asynchronous motor capacities in the asynchronous motor cluster; /(I)Representing stator resistance of ith asynchronous motor in asynchronous motor cluster,/>Representing the rotor resistance of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the stator reactance of the ith asynchronous motor in the asynchronous motor cluster,/>Representing the rotor reactance of the i-th asynchronous motor in the asynchronous motor cluster.

Specifically, the rough electromagnetic parameters of the equivalent model of the first cluster are calculated as follows:、、/>、/>。

s206: estimating a value range of a target electromagnetic parameter of the equivalent model of the first cluster according to the rough electromagnetic parameter of the equivalent model of the first cluster, wherein the value range is expressed as follows:

target stator resistance in a cluster equivalent model of a first cluster The range of the preset parameter values is as follows:；

Target rotor resistance in a fleet equivalent model of a first fleet The range of the preset parameter values is as follows:；/>

Target stator reactance in a fleet equivalent model of a first fleet The range of the preset parameter values is as follows:；

target rotor reactance in a fleet equivalent model of a first fleet The range of the preset parameter values is as follows:；

Substituting the rough electromagnetic parameters of the cluster equivalent model of the first cluster into the corresponding preset parameter value ranges to obtain the actual value ranges of the target electromagnetic parameters of the cluster equivalent model of the first cluster, wherein the method comprises the following steps: ，，/>，/>。

s207: based on the sum of electromagnetic power at the kth slip sampling point of all asynchronous motors in the first cluster Obtaining a cluster electromagnetic power difference value/>, at a kth slip sampling point, with a target electromagnetic power at the kth slip sampling point of the first cluster; Cluster electromagnetic power difference value based on N slip sampling pointsAn optimization objective function is constructed, expressed as: /(I)；

Order theEach target electromagnetic parameter in the network is changed in the range of the preset parameter value, and the/>And taking each target electromagnetic parameter at the minimum value as an optimizing result, thereby obtaining the final electromagnetic parameter of the first cluster equivalent model, which is expressed as:、/>、/>、/>。

Substituting the final electromagnetic parameters of the first cluster equivalent model into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor to obtain a first cluster target equivalent model.

In this embodiment, from the data driving point of view, the strong coupling nonlinear relationship between electromagnetic power and electromagnetic parameters is solved. Specifically, an optimization problem is constructed by minimizing a cluster electromagnetic power difference between a sum of electromagnetic power at a kth slip sampling point of all asynchronous motors in the asynchronous motor cluster and an asynchronous motor cluster target electromagnetic power. In the optimizing process, the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster gradually approach to the optimal electromagnetic parameters under the action of an optimizing algorithm, so that the difference value of the electromagnetic power of the cluster is finally minimized.

Similarly, after the rough electromagnetic parameters of the second cluster equivalent model are obtained, the preset parameter value range of the target electromagnetic parameters of the second cluster equivalent model is estimated, an optimized target function for identifying the electromagnetic parameters of the second cluster equivalent model is constructed, so that the target electromagnetic power of the second cluster is as close to the sum of the electromagnetic powers of all asynchronous motors in the second cluster as possible, the target electromagnetic parameters corresponding to the minimum optimized target function are obtained, and the cluster equivalent model of the second cluster is obtained.

Based on the above embodiment, the embodiment of the present invention further provides an apparatus for identifying parameters of an equivalent model of an asynchronous motor cluster, including:

The electromagnetic power calculation module 100 is configured to measure electromagnetic parameters of each asynchronous motor based on a simplified equivalent circuit of each asynchronous motor in the power system; collecting slip ratios at N sampling points in a preset value range of slip ratios of the asynchronous motor, wherein k is more than or equal to 1 and less than or equal to N; substituting electromagnetic parameters of each asynchronous motor into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor to obtain electromagnetic power at the kth slip sampling point of each asynchronous motor;

The clustering module 200 is used for calculating the similarity distance between the sum of the electromagnetic power at N slip sampling points of each asynchronous motor and the sum of the electromagnetic power at N slip sampling points of the other asynchronous motors in the power system; clustering all asynchronous motors in the power system based on the similarity distance, and dividing the power system into a plurality of asynchronous motor clusters;

The target electromagnetic parameter value range calculation module 300 is configured to, for each asynchronous motor cluster, weight and average electromagnetic parameters of all asynchronous motors in the asynchronous motor cluster by using a ratio of a capacity of each asynchronous motor to a sum of capacities of all asynchronous motors in the asynchronous motor cluster as a weight of each asynchronous motor electromagnetic parameter to obtain rough electromagnetic parameters of an equivalent model of the asynchronous motor cluster; acquiring a preset parameter value range of a target electromagnetic parameter of the equivalent model of the asynchronous motor cluster based on the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster;

The target electromagnetic power calculation module 400 is configured to substitute a target electromagnetic parameter of an equivalent model of the asynchronous motor cluster into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor to obtain a target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster;

The model optimization module 500 is configured to obtain a cluster electromagnetic power difference value at a kth slip sampling point based on a sum of electromagnetic powers at the kth slip sampling point of all asynchronous motors in the asynchronous motor cluster and a target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster; constructing an optimization objective function based on the cluster electromagnetic power difference values at the N slip sampling points; and changing the target electromagnetic parameters in the preset parameter value range to obtain the target electromagnetic parameters corresponding to the minimum optimized target function value, and obtaining the equivalent model of the asynchronous motor cluster by taking the target electromagnetic parameters as the electromagnetic parameters of the equivalent model of the asynchronous motor cluster.

The parameter identification device of the equivalent model of the asynchronous motor cluster is used for implementing the parameter identification method of the equivalent model of the asynchronous motor cluster, so that the specific implementation of the parameter identification device of the equivalent model of the asynchronous motor cluster can be seen from the example part of the parameter identification method of the equivalent model of the asynchronous motor cluster in the foregoing, for example, the electromagnetic power calculation module 100 is used for implementing steps S101 and S102 in the parameter identification method of the equivalent model of the asynchronous motor cluster; the clustering module 200 is configured to implement steps S103 and S104 in the above-mentioned asynchronous motor cluster equivalent model parameter identification method; the target electromagnetic parameter value range calculation module 300 is configured to implement steps S105 and S106 in the above-mentioned asynchronous motor cluster equivalent model parameter identification method; the target electromagnetic power calculation module 400 is configured to implement step S107 in the above-mentioned asynchronous motor cluster equivalent model parameter identification method; the model optimization module 500 is configured to implement step S108 in the above-mentioned asynchronous motor cluster equivalent model parameter identification method; therefore, the specific embodiments thereof may refer to the descriptions of the corresponding examples of the respective parts, and will not be repeated herein.

According to the method and the device for identifying the parameters of the equivalent model of the asynchronous motor cluster, after the rough electromagnetic parameters of the equivalent model of the asynchronous motor cluster are obtained through the method of weighing the capacity of the asynchronous motor, the preset parameter value range of the target electromagnetic parameters is obtained based on the rough electromagnetic parameters; based on the electromagnetic power sum of the kth slip sampling points of all asynchronous motors in the asynchronous motor cluster and the cluster electromagnetic power difference value of the target electromagnetic power of the kth slip sampling points of the asynchronous motor cluster, obtaining the cluster electromagnetic power difference values of the N slip sampling points to construct an optimized objective function; and selecting the target electromagnetic parameter with the minimum optimization objective function from the preset parameter value range of the target electromagnetic parameter as the electromagnetic parameter of the equivalent model of the asynchronous motor cluster, thereby obtaining the equivalent model of the asynchronous motor cluster. After the rough electromagnetic parameters are obtained by using the capacity weighting method, the preset parameter value range of the target electromagnetic parameters is further reasonably set, so that the finally identified electromagnetic parameters are ensured to have practical significance, and the practicability and reliability of the model are improved; according to the invention, the electromagnetic power is solved based on electromagnetic parameters, an optimized objective function is constructed based on the electromagnetic power, data used in the process contains strong coupling and highly nonlinear information, and the optimal objective function is minimized by minimizing the difference between the sum of the electromagnetic powers of all the asynchronous motors in the asynchronous motor cluster and the target electromagnetic power of the asynchronous motor cluster, so that the target electromagnetic parameters of the equivalent model of the asynchronous motor cluster gradually approach to the optimal electromagnetic parameters in the optimization process, and the nonlinear relation between the electromagnetic parameters and the electromagnetic power is better captured, thereby obtaining the target electromagnetic power capable of accurately reflecting the asynchronous motor cluster, further obtaining more accurate target electromagnetic parameters, improving the model parameter identification accuracy, and realizing the accurate control of the asynchronous motor based on the accurate equivalent model of the asynchronous motor cluster.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations and modifications of the present invention will be apparent to those of ordinary skill in the art in light of the foregoing description. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.

Claims

1. The method for identifying the equivalent model parameters of the asynchronous motor cluster is characterized by comprising the following steps of:

2. The method for identifying parameters of equivalent models of an asynchronous motor cluster according to claim 1, wherein the electromagnetic parameters of the asynchronous motor comprise stator resistance, rotor resistance, stator reactance and rotor reactance.

3. The method for identifying parameters of equivalent models of an asynchronous motor cluster according to claim 1, wherein the step of obtaining a simplified equivalent circuit of the asynchronous motor comprises the steps of:

4. The method for identifying parameters of equivalent models of asynchronous motor clusters according to claim 1, wherein the step of substituting electromagnetic parameters of each asynchronous motor into an electromagnetic dynamic model at a kth slip sampling point of the asynchronous motor to obtain electromagnetic power at the kth slip sampling point of each asynchronous motor is expressed as:

；

Wherein, Representing the/>, in an electrical power systemElectromagnetic power of the asynchronous motor at the kth slip sampling point,Representing the number of stator phases of an asynchronous motor,/>Representing the rotor current value after conversion of an asynchronous motor,/>Representing slip at the kth slip sample point,/>Representing the stator voltage value of an asynchronous motor,/>Representing the/>, in an electrical power systemStator resistance of a table asynchronous motor,/>Representing the/>, in an electrical power systemRotor resistance of a table asynchronous motor,/>Representing the/>, in an electrical power systemStator reactance of a table asynchronous motor,/>Representing the/>, in an electrical power systemRotor reactance of a table asynchronous motor.

5. The method for identifying parameters of equivalent models of asynchronous motor clusters according to claim 1, wherein the similarity distance between the sum of the electromagnetic power at N slip sampling points of each asynchronous motor and the sum of the electromagnetic power at N slip sampling points of the rest of each asynchronous motor in the electric power system is expressed as:

；

Wherein, Representing the/>, in an electrical power systemThe similarity distance between the electromagnetic power of the asynchronous motor and the electromagnetic power of the jth asynchronous motor in the electric power system; /(I)Is a preset power reference value; n represents the total number of samples of slip of the asynchronous motor,Representing the/>, in an electrical power systemElectromagnetic power of asynchronous motor at kth slip sampling point,/>Representing the electromagnetic power of the jth asynchronous motor at the kth slip sampling point in the power system.

6. The method for identifying parameters of equivalent models of asynchronous motors according to claim 1, wherein the step of weighting and averaging electromagnetic parameters of all asynchronous motors in an asynchronous motor cluster by using a ratio of a capacity of each asynchronous motor to a sum of capacities of all asynchronous motors in the asynchronous motor cluster as a weight of each electromagnetic motor to obtain rough electromagnetic parameters of equivalent models of the asynchronous motors comprises the steps of:

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the stator resistance of each asynchronous motor, carrying out weighted average on the stator resistances of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameters of the stator resistances of the equivalent model of the asynchronous motor cluster ：/>；

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the rotor resistance of each asynchronous motor, carrying out weighted average on the rotor resistances of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameter of the rotor resistance of the equivalent model of the asynchronous motor cluster：/>；

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the stator reactance of each asynchronous motor, carrying out weighted average on the stator reactance of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough parameter of the stator reactance of the equivalent model of the asynchronous motor cluster：/>；

Taking the ratio of the capacity of each asynchronous motor to the sum of the capacities of all asynchronous motors in the asynchronous motor cluster as the weight of the rotor reactance of each asynchronous motor, carrying out weighted average on the rotor reactance of all asynchronous motors in the asynchronous motor cluster, and obtaining the rough rotor reactance parameter of the equivalent model of the asynchronous motor cluster：/>；

7. The method for identifying parameters of an equivalent model of an asynchronous motor cluster according to claim 1, wherein the obtaining the preset parameter value range of the target electromagnetic parameter of the equivalent model of the asynchronous motor cluster based on the rough electromagnetic parameter of the equivalent model of the asynchronous motor cluster comprises:

8. The method for identifying parameters of equivalent models of an asynchronous motor cluster according to claim 1, wherein the step of substituting the target electromagnetic parameters of the equivalent models of the asynchronous motor cluster into the electromagnetic dynamic model at the kth slip sampling point of the asynchronous motor to obtain the target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster is expressed as:

；

9. The method for identifying parameters of an equivalent model of an asynchronous motor cluster according to claim 1, wherein the method is characterized in that the method is based on the sum of electromagnetic power at a kth slip sampling point of all asynchronous motors in the asynchronous motor cluster and a target electromagnetic power at the kth slip sampling point of the asynchronous motor cluster, and obtains a cluster electromagnetic power difference value at the kth slip sampling point; based on the cluster electromagnetic power difference values at N slip sampling points, an optimization objective function is constructed, expressed as:

；

wherein the objective function is optimized Representation of the result value/>Performing minimization; /(I)Representing a target electromagnetic power at a kth slip sampling point of the asynchronous motor cluster; n represents the total number of sampling points of slip of the asynchronous motor; /(I)Representing electromagnetic power at a kth slip sampling point of an ith asynchronous motor in an asynchronous motor cluster; /(I)Representing the sum of the electromagnetic power at the kth slip sampling point of all asynchronous motors in an asynchronous motor cluster,/>Representing the total number of asynchronous motors in the asynchronous motor cluster.

10. An asynchronous motor cluster equivalent model parameter identification device is characterized by comprising: