Orthogonal double pendulum counter weight parameter optimization method for ice disaster prevention of power transmission line in high altitude area

Abstract

The invention aims to provide an orthogonal double-pendulum counter weight parameter optimization method for ice disaster prevention of a power transmission line in a high altitude area, and the method comprises the steps: carrying out the finite element modeling through the actual parameters of the power transmission line and the actual environment parameters, and obtaining the maximum surface electric field intensity of an orthogonal double-pendulum counter weight and the maximum electric field intensity of the power transmission line through simulation; and then, constructing a corresponding fitness function, and determining optimal parameters of the orthogonal double-pendulum heavy hammer by adopting a genetic algorithm, so that the obtained orthogonal double-pendulum heavy hammer can adapt to an actual operating environment of a high-altitude region, and safe and stable operation of a power transmission line is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to a power transmission line equipment parameter optimization method, in particular to a high-altitude power transmission line anti-icing orthogonal double pendulum weight parameter optimization method. BACKGROUND

[0002] The orthogonal double pendulum weight is a new type of power transmission line vibration suppressor, which combines the advantages of the mistuned pendulum and the shock absorber and is widely used.

[0003] In actual working conditions, the power transmission line inevitably passes through some high-altitude icing areas. Due to the climate characteristics of low temperature, small air density, and low air pressure in high-altitude areas, the orthogonal double pendulum weight designed by the parameter determination scheme in the prior art cannot adapt to high-altitude areas. If the orthogonal double pendulum weight designed by the prior art is continued to be used, the anti-vibration effect of the power transmission line in high-altitude areas is reduced, thereby affecting the safe operation of the power transmission line.

[0004] Therefore, in order to solve the above technical problems, a new technical means is urgently needed. SUMMARY

[0005] Therefore, the purpose of the present application is to provide a high-altitude power transmission line anti-icing orthogonal double pendulum weight parameter optimization method. By building a finite element model based on the actual power transmission line parameters and the actual environmental parameters, the maximum surface electric field strength of the orthogonal double pendulum weight and the maximum electric field strength of the power transmission line are obtained by simulation, and then a corresponding fitness function is constructed. The genetic algorithm is used to determine the optimal parameters of the orthogonal double pendulum weight, so that the obtained orthogonal double pendulum weight can adapt to the actual operating environment in high-altitude areas, and ensure the safe and stable operation of the power transmission line.

[0006] The present application provides a high-altitude power transmission line anti-icing orthogonal double pendulum weight parameter optimization method, comprising the following steps:

[0007] S1. Obtain the power transmission line parameters of the target high-altitude area, including the power transmission line parameters and the meteorological parameters;

[0008] S2. Determine the parameter constraint conditions of the orthogonal double pendulum weight;

[0009] S3. Input the power transmission line parameters into the finite element model to build a finite element model of the orthogonal double pendulum weight;

[0010] S4. Determine the parameter combinations of the orthogonal double pendulum weight based on the parameter constraint conditions of the orthogonal double pendulum weight, and input each parameter combination into the finite element model of the orthogonal double pendulum weight to determine the surface electric field distribution of the orthogonal double pendulum weight and the line electric field distribution;

[0011] S5. inputting the orthogonal double pendulum weight parameter combination and the corresponding orthogonal double pendulum weight surface electric field and line electric field of each parameter combination into the neural network and training the neural network;

[0012] S6. re-determining the parameter combination of the orthogonal double pendulum weight based on the parameter constraint condition of the orthogonal double pendulum weight and inputting into the trained neural network to obtain the corresponding orthogonal double pendulum weight surface electric field and line electric field of each parameter combination;

[0013] S7. performing altitude correction on the orthogonal double pendulum weight surface electric field and line electric field, constructing a target function based on the surface maximum electric field and line electric field of the orthogonal double pendulum weight after altitude correction, and constructing a fitness function based on the surface maximum electric field and line electric field of the orthogonal double pendulum weight, and determining the optimal parameter combination of the orthogonal double pendulum weight by using a genetic algorithm.

[0014] Further, in step S1, specifically comprising:

[0015] The transmission line itself parameters include span, high difference of two side hanging points, conductor type, conductor splitting form, highest operating voltage and corona inception electric field strength under the highest operating voltage;

[0016] The meteorological parameters include altitude of the area where the transmission line is located, design ice thickness, average temperature, average pressure and average humidity of the area where the transmission line is located in the icing season.

[0017] Further, the parameter constraint condition of the orthogonal double pendulum weight is the constraint condition of the weight head mass and the pendulum length, specifically:

[0018] M D L D ≥T min =4m i gle0sin(θ0) / π 2 ;

[0019] Wherein: M D is the total mass of all double pendulum weights in the entire span; L D is the pendulum length of the torque; m i is the ice mass per unit length of the conductor, m i =A i ρ; A i is the cross-sectional area of the considered ice shape; ρ is the ice density; g is the acceleration of gravity; l is the total length of the conductor in the span; e0 is the distance between the center of the conductor cross section and the center of gravity of the considered ice shape; θ0 is the conductor torsion angle caused by the eccentric torque of the ice.

[0020] Further, in step S7, the target function is:

[0021]

[0022] wherein: i = 1, 2, 3, when i = 1, V1 represents the dimensionless result of the maximum electric field intensity on the surface of the orthogonal double pendulum weight, when i = 2, V2 represents the dimensionless result of the maximum electric field intensity on the surface of the transmission line, when i = 3, V3 represents the dimensionless result of the volume of the weight head of the orthogonal double pendulum weight, w i represents the weight value of the corresponding index.

[0023] Further, constructing the fitness function based on the maximum electric field on the surface of the orthogonal double pendulum weight and the line electric field specifically includes:

[0024]

[0025] wherein: k represents a coefficient, represents an absolute value function, V1 j represents the dimensionless result of the maximum electric field intensity on the surface of the orthogonal double pendulum weight corresponding to the jth orthogonal double pendulum weight parameter combination, represents the dimensionless result of the maximum electric field intensity on the surface of the transmission line corresponding to the jth orthogonal double pendulum weight parameter combination, [V1] represents the dimensionless result of the corona inception electric field of the orthogonal double pendulum weight after altitude correction, and [V2] represents the dimensionless result of the corona inception electric field of the transmission line after altitude correction.

[0026] Further, the corona inception electric field of the orthogonal double pendulum weight and the corona inception electric field of the transmission line are corrected specifically as follows:

[0027]

[0028] wherein: n = 1, 2; E 10 represents the internationally specified orthogonal double pendulum weight corona inception electric field intensity, E 20 represents the internationally specified transmission line corona inception electric field intensity, K a represents an altitude correction coefficient.

[0029] Further, the altitude correction coefficient K a is determined by the following method:

[0030]

[0031] wherein: K d is an air density correction factor, K h is a humidity correction factor, δ is the relative air density, m is the relative air density index, P is the actual air pressure, t is the actual air pressure temperature, P0 is the air pressure under the reference atmospheric pressure condition, t0 is the temperature under the reference atmospheric condition, w is the correction index, and K is a coefficient, which depends on the voltage type of the transmission line.

[0032] The beneficial effects of this invention are as follows: By using the actual parameters of the transmission line itself and the actual environmental parameters, finite element modeling is performed. The maximum electric field intensity on the surface of the orthogonal double pendulum weight and the maximum electric field intensity of the transmission line are obtained through simulation. Then, a corresponding fitness function is constructed, and the optimal parameters of the orthogonal double pendulum weight are determined by a genetic algorithm. This allows the obtained orthogonal double pendulum weight to adapt to the actual operating environment in high-altitude areas, ensuring the safe and stable operation of the transmission line. Attached Figure Description

[0033] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0034] Figure 1 This is a schematic diagram of the process of the present invention.

[0035] Figure 2 This is a schematic diagram of the orthogonal double pendulum weight structure of the present invention. Detailed Implementation

[0036] The present invention will be further described in detail below:

[0037] This invention provides a method for optimizing the parameters of an orthogonal double pendulum weight for ice prevention of transmission lines in high-altitude areas, comprising the following steps:

[0038] S1. Obtain the transmission line parameters for the target high-altitude area, including the transmission line's own parameters and meteorological parameters; specifically:

[0039] The transmission line's own parameters include span, height difference between the hanging points on both sides, conductor type, conductor splitting method, maximum operating voltage, and corona induction electric field strength under the maximum operating voltage;

[0040] The meteorological parameters include the altitude of the area where the transmission line is located, the designed icing thickness, the average temperature, average air pressure, and average humidity of the area where the transmission line is located during the icing season.

[0041] S2. Determine the parameter constraints for the orthogonal double pendulum weights;

[0042] S3. Input the transmission line parameters into the finite element model to construct the finite element model of the orthogonal double pendulum weight; the finite element model is built using existing finite element software, such as ABAQUS finite element software;

[0043] During the modeling process:

[0044] The pendulum length and arm length of the orthogonal double pendulum weight are simplified as cylinders capable of withstanding tensile-bending-torsional deformations, and simulated using beam elements. L... B and L D The two parameters represent its variable arm length and pendulum length, such as Figure 2 As shown;

[0045] Two hammer heads of the orthogonal double pendulum weight are simplified as two solid spheres with uniform mass distribution, are simulated by solid elements, and a diameter D is used to represent the variable sphere diameter;

[0046] An overhead transmission single conductor connected with the orthogonal double pendulum weight is simplified as a cylinder capable of bearing tensile-bending-torsional deformation, is simulated by a rod element, and is endowed with real material constants (elastic modulus, cross-sectional area, Poisson's ratio, etc.). In particular, if the conductor connected with the orthogonal double pendulum weight is a bundle conductor, the sub-conductors are also simulated by rod elements, and the intra-phase spacer rods are simulated by beam elements, and the orthogonal double pendulum weight is directly connected with the intra-phase spacer rods. The connection type of the orthogonal double pendulum weight and the overhead transmission single conductor / intra-phase spacer rod is rigid connection.

[0047] S4. Parameters of the orthogonal double pendulum weight are determined based on the parameter constraint conditions of the orthogonal double pendulum weight, and each parameter combination is input into the finite element model of the orthogonal double pendulum weight to determine the surface electric field distribution of the orthogonal double pendulum weight and the line electric field distribution. The process of determining the electric field distribution by the finite element software is prior art, and will not be described here. After the electric field distribution is determined, the corresponding maximum electric field strength on the surface of the transmission line and the maximum electric field strength on the surface of the orthogonal double pendulum weight can be found;

[0048] S5. The parameter combination of the orthogonal double pendulum weight and the corresponding surface electric field and line electric field of the orthogonal double pendulum weight corresponding to each parameter combination are input into the neural network and the neural network is trained. The neural network can use existing BP neural network, RESnet neural network, etc. to achieve the purpose of the present application. By modeling and simulating the hammer surface electric field and line surface electric field caused by different parameter combinations of the orthogonal double pendulum weight, the workload is too large and the efficiency is low, although this process can determine multiple data. Therefore, after obtaining the corresponding parameter combination and the corresponding electric field by the model, the neural network is trained as training data. After the training is completed, according to the actual demand, only the corresponding parameter combination needs to be determined and input into the neural network, so that the orthogonal double pendulum weight surface electric field strength and the transmission line surface electric field strength corresponding to the current parameter combination can be predicted, thereby effectively improving the efficiency of the whole method;

[0049] S6. The parameter combination of the orthogonal double pendulum weight is re-determined based on the parameter constraint conditions of the orthogonal double pendulum weight and is input into the trained neural network to obtain the corresponding surface electric field and line electric field of the orthogonal double pendulum weight corresponding to each parameter combination. The related parameters are re-determined to obtain more data and provide a guarantee for the result accuracy of the subsequent genetic algorithm optimization. The parameter combination of the orthogonal double pendulum weight includes the sphere diameter, the pendulum length and the arm length of the orthogonal double pendulum weight. The line electric field refers to the line surface electric field within a certain length range at the connection point between the transmission line and the orthogonal double pendulum weight.

[0050] S7. Altitude correction is performed on the surface electric field of the orthogonal double pendulum weight and the line electric field, a target function is constructed based on the surface maximum electric field of the orthogonal double pendulum weight after altitude correction and the line electric field, a fitness function is constructed based on the surface maximum electric field of the orthogonal double pendulum weight and the line electric field, and the optimal parameter combination of the orthogonal double pendulum weight is determined by using a genetic algorithm. Through the above method, finite element modeling is performed on the actual transmission line itself parameters and actual environmental parameters, the surface maximum electric field intensity of the orthogonal double pendulum weight and the maximum electric field intensity of the transmission line are obtained through simulation, then the corresponding fitness function is constructed, and the optimal parameters of the orthogonal double pendulum weight are determined by using a genetic algorithm, so that the obtained orthogonal double pendulum weight can adapt to the operating environment of the actual high-altitude area, and the safe and stable operation of the transmission line is ensured.

[0051] In this embodiment, the parameter constraint conditions of the orthogonal double pendulum weight are the constraint conditions of the weight head mass and the pendulum length, and specifically are:

[0052] M D L D ≥T min =4m i gle0sin(θ0) / π 2 ;

[0053] Wherein: M D is the total mass of all double pendulum weights in the whole span; L D is the pendulum length of the torque; m i is the icing mass per unit length of the conductor, m i =A i ρ; A i is the cross-sectional area of the considered ice shape; ρ is the icing density; g is the acceleration of gravity; l is the total length of the conductor in the span; e0 is the distance between the center of the conductor cross section and the center of gravity of the considered ice shape; θ0 is the conductor torsion angle caused by the eccentric torque of the icing.

[0054] Of course, the constraint conditions also include the following:

[0055] Since the orthogonal double pendulum weight is essentially also a variant form of the mistuned pendulum, the design requirements of the mistuned pendulum on the line are also applicable to the orthogonal double pendulum weight, so according to the “Q / GDW 1829-2012 Overhead Transmission Line Anti-dance Design Specification”, the total mass of the weight head should not exceed 7% of the mass of the conductor in the span, and the pendulum length should not exceed 600 mm, thereby the upper limit value of the range of the ball diameter D and the pendulum length L D can be determined;

[0056] The arm length L B of the orthogonal double pendulum weight should be less than or equal to the pendulum length L D .

[0057] In this embodiment, in step S7, the objective function is:

[0058]

[0059] wherein: i = 1, 2, 3, when i = 1, V1 represents the dimensionless result of the maximum electric field strength of the orthogonal double pendulum weight surface, when i = 2, V2 represents the dimensionless result of the maximum electric field strength of the transmission line surface, when i = 3, V3 represents the dimensionless result of the weight head volume of the orthogonal double pendulum weight, w i represents the weight value of the corresponding index, wherein for the dimensionless processing of the above parameters, the existing linear dimensionless method or other existing methods are adopted, which are not described herein.

[0060] In this embodiment, the construction of the fitness function based on the surface maximum electric field of the orthogonal double pendulum weight and the line electric field specifically includes:

[0061]

[0062] wherein: k represents a coefficient, represents an absolute value function, V1 j represents the dimensionless result of the maximum electric field strength of the orthogonal double pendulum weight surface corresponding to the jth orthogonal double pendulum weight parameter combination, represents the dimensionless result of the maximum electric field strength of the transmission line surface corresponding to the jth orthogonal double pendulum weight parameter combination, [V1] represents the dimensionless result of the corona inception electric field of the orthogonal double pendulum weight after altitude correction, [V2] represents the dimensionless result of the corona inception electric field of the transmission line after altitude correction. The optimization method of the genetic algorithm is determined by the fitness function, and the optimization process of the genetic algorithm is the prior art, which is not described herein.

[0063] In this embodiment, the correction of the corona inception electric field of the orthogonal double pendulum weight and the corona inception electric field of the transmission line specifically includes:

[0064]

[0065] wherein: n = 1, 2; E 10 represents the internationally specified orthogonal double pendulum weight corona inception electric field strength, E 20 represents the internationally specified transmission line corona inception electric field strength, K a represents the altitude correction coefficient, E1 represents the value of E 10 after correction, [V1] is obtained after the dimensionless processing of E1, E2 represents the value of E 20 after correction, [V2] is obtained after the dimensionless processing of E2. E 10 and E 20The values can be found by consulting the International Electrotechnical Commission Standard - IEC 60694.

[0066] wherein the altitude correction factor K is determined by the following method a :

[0067]

[0068] wherein K d is the air density correction factor, K h is the humidity correction factor, δ is the relative air density, m is the relative air density index, P is the actual air pressure, t is the actual air pressure temperature, P0 is the air pressure under reference atmospheric pressure conditions, t0 is the temperature under reference atmospheric conditions, w is the correction index, and K is a coefficient depending on the voltage type of the power transmission line.

[0069] Finally, it should be pointed out that the above embodiments are merely used to illustrate the technical solutions of the present application but not to limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the purpose and scope of the present application, and all of them should be covered in the scope of the claims of the present application.

Claims

1. A method for optimizing the parameters of an orthogonal double pendulum weight for ice-resistant transmission lines in high-altitude areas, characterized in that: Includes the following steps: S1. Obtain the transmission line parameters of the target high-altitude area, including the transmission line's own parameters and meteorological parameters; S2. Determine the parameter constraints for the orthogonal double pendulum weights; S3. Input the transmission line parameters into the finite element model to construct the finite element model of the orthogonal double pendulum weight; S4. Based on the parameter constraints of the orthogonal double pendulum weight, determine the parameter combination of the orthogonal double pendulum weight, and input each parameter combination into the finite element model of the orthogonal double pendulum weight to determine the surface electric field distribution and the line electric field distribution of the orthogonal double pendulum weight. S5. Input the orthogonal double pendulum weight parameter combination and the electric field on the surface of the orthogonal double pendulum and the electric field of the circuit corresponding to each parameter combination into the neural network and train the neural network; S6. Based on the parameter constraints of the orthogonal double pendulum, redetermine the parameter combination of the orthogonal double pendulum and input it into the trained neural network to obtain the surface electric field and line electric field of the orthogonal double pendulum corresponding to each parameter combination; S7. Perform altitude correction on the surface electric field and line electric field of the orthogonal double pendulum weight. Construct an objective function based on the maximum surface electric field and line electric field of the orthogonal double pendulum weight after altitude correction, and construct a fitness function based on the maximum surface electric field and line electric field of the orthogonal double pendulum weight. Use a genetic algorithm to determine the optimal parameter combination of the orthogonal double pendulum weight.

2. The orthogonal double pendulum weight parameter optimization method for ice prevention of transmission lines in high-altitude areas according to claim 1, characterized in that: Step S1 specifically includes: The transmission line's own parameters include span, height difference between the hanging points on both sides, conductor type, conductor splitting method, maximum operating voltage, and corona induction electric field strength under the maximum operating voltage; The meteorological parameters include the altitude of the area where the transmission line is located, the designed icing thickness, the average temperature, average air pressure, and average humidity of the area where the transmission line is located during the icing season.

3. The orthogonal double pendulum weight parameter optimization method for ice prevention of transmission lines in high-altitude areas according to claim 1, characterized in that: The parameter constraints for the orthogonal double pendulum weights are the constraints for the hammer mass and pendulum length, specifically: M D L D ≥T min =4m i gle0sin(θ0) / π 2 ; Where: M D L is the total mass of all double pendulum weights across the entire range; D The length of the torque pendulum is m. i The mass of ice covering a unit length of conductor, m i =A i ρ; A i ρ is the cross-sectional area of ​​the ice shape under consideration; g is the acceleration due to gravity; l is the total length of the conductor within the span; e0 is the distance between the center of the conductor cross-section and the centroid of the ice shape under consideration; θ0 is the conductor torsion angle caused by the eccentric moment of the ice.

4. The orthogonal double pendulum weight parameter optimization method for ice prevention of transmission lines in high-altitude areas according to claim 1, characterized in that: In step S7, the objective function is: Where: i = 1, 2, 3; when i = 1, V1 represents the dimensionless result of the maximum electric field intensity on the surface of the orthogonal double pendulum weight; when i = 2, V2 represents the dimensionless result of the maximum electric field intensity on the surface of the transmission line; when i = 3, V3 represents the dimensionless result of the volume of the hammer head of the orthogonal double pendulum weight; w i This indicates the weight value of the corresponding indicator.

5. The orthogonal double pendulum weight parameter optimization method for ice prevention of transmission lines in high-altitude areas according to claim 4, characterized in that: The fitness function is constructed based on the maximum surface electric field and the circuit electric field of the orthogonal double pendulum weights, specifically including: Where: k represents the coefficient. V1 represents the absolute value function. j Let represent the dimensionless result of the maximum electric field intensity on the surface of the orthogonal double pendulum weight corresponding to the j-th orthogonal double pendulum weight parameter combination. [V1] represents the dimensionless result of the maximum electric field intensity on the transmission line surface corresponding to the j-th orthogonal double pendulum weight parameter combination, [V2] represents the dimensionless result of the corona initiation electric field of the orthogonal double pendulum weight after altitude correction, and [V3] represents the dimensionless result of the corona initiation electric field of the transmission line after altitude correction.

6. The orthogonal double pendulum weight parameter optimization method for ice prevention of transmission lines in high-altitude areas according to claim 5, characterized in that: The correction of the corona initiation electric field of orthogonal double pendulum weights and the corona initiation electric field of transmission lines specifically includes: Where n = 1, 2; E 10 E represents the electric field strength E of the corona initiation of the weights in an orthogonal double pendulum, as defined internationally. 20 K represents the corona induction electric field strength of transmission lines as defined internationally. a This represents the altitude correction factor.

7. The orthogonal double pendulum weight parameter optimization method for ice prevention of transmission lines in high-altitude areas according to claim 6, characterized in that: The altitude correction factor K is determined using the following method. a : Where: K d K is the air density correction factor. h δ is the humidity correction factor, m is the relative air density index, P is the actual air pressure, t is the actual air pressure temperature, P0 is the air pressure under reference atmospheric pressure conditions, t0 is the temperature under reference atmospheric conditions, w is the correction index, and K is a coefficient that depends on the voltage type of the transmission line.

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