CN108054665A - Cubicle Gas-Insulated Switchgear processing method and equipment - Google Patents

Abstract

A method for processing a gas-insulated metal-enclosed switchgear based on ant colony algorithm and the gas-insulated metal-enclosed switchgear, the method comprising the following steps: selecting a temperature field optimization variable, an electric field optimization variable and a stress optimization variable in the gas-insulated metal-enclosed switchgear, Perform nonlinear fitting on each optimization variable, initialize the parameters used in the ant colony optimization process, place each ant at a different position in the function at random, and calculate the next feasible solution for each ant according to the transition probability calculation formula , calculate the pheromone content of each ant's location, and update the pheromone concentration of each location according to the pheromone iteration formula. If the maximum number of iterations is reached, the calculation is terminated and the optimal solution is output; otherwise, return until the optimal solution is obtained.

Description

Gas-insulated metal-enclosed switchgear processing method and device

technical field

The invention relates to the technical field of switchgear, in particular to a gas-insulated metal-enclosed switchgear processing method based on an ant colony algorithm and a gas-insulated metal-enclosed switchgear.

Background technique

Gas-insulated metal-enclosed switchgear GIS (Gas Insulated Switchgear) is to put circuit breakers, disconnectors, grounding switches, busbars, transformers, lightning arresters and other main components into a sealed metal shell, which is filled with insulating gas as insulation and extinguishing arc medium. Traditional GIS equipment mainly uses SF6 as the insulation and arc extinguishing medium, and SF6 has a long atmospheric life and strong infrared ray absorption capacity, so it has a very high GWP (Greenhouse Effect Coefficient), which is about 23900 times that of CO2. It is one of the important factors leading to global warming, so the present invention uses environment-friendly gas as insulating gas.

However, there are several problems when using environmentally friendly gases: (1) The saturated vapor pressure of environmentally friendly gases in GIS is low at the working temperature, so they must be mixed with gases with high saturated vapor pressure. Or the mixing ratio of three different gases, and the difference in the mixing ratio and the change of the air pressure will affect the temperature field inside the GIS; (2) The environmentally friendly gas is used for insulation in the GIS, and the insulation performance depends on the Due to the uniformity of the internal electric field distribution, this requires an optimal design of the internal structure; (3) The pressure of SF6 gas in traditional equipment is 0.5MPa, while the gas pressure in environment-friendly GIS is 0.7-0.8MPa, and in (2 ) based on the modification of the structure, the force of the entire structure will also change accordingly.

In view of the above problems, the present invention uses the ant colony algorithm to optimize the design. Ant colony algorithm is an intelligent algorithm that simulates biological activities. Its operating mechanism comes from the real behavior of ants in the real world. In the process of searching for food, ants can release a pheromone on the path they walk, and the information released The amount of pheromone is inversely proportional to the length of the path it walks, that is, the shorter the path an ant walks, the more pheromone it will leave on the path; conversely, the longer the path the ant walks, the less pheromone it will leave . These pheromones have a certain guiding effect on other ants and the ant itself when choosing a path in the future. Generally speaking, ants always tend to choose the path with higher pheromone concentration. Therefore, when the number of ants passing by a certain path is more, the concentration of pheromone left by all ants on this path will be greater, and the probability of subsequent ants choosing this path will be greater. When the ants choose this path, the intensity of the pheromone of this path will be gradually increased. Ants sometimes do not necessarily walk along the path of high-quality information transfer material, and may also search other paths. If a shorter path is found, the ants will move closer to the shorter path. Ultimately, the majority of ants work on the shortest path. The ant colony algorithm uses virtual individual ants to obtain the shortest path length through the n city nodes through positive feedback mechanism and probability diversity. Ant colony algorithm can optimize gas-insulated metal-enclosed switchgear.

The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.

Contents of the invention

In view of the above problems, the purpose of the present invention is to provide a gas-insulated metal-enclosed switchgear processing method based on ant colony algorithm and gas-insulated metal-enclosed Optimizing the design of the power situation, thereby improving the performance indicators of the gas-insulated metal-enclosed switchgear.

The purpose of the present invention is to be achieved through the following technical solutions.

In one aspect of the present invention, a gas-insulated metal-enclosed switchgear processing method based on an ant colony algorithm includes the following steps,

In the first step, the total gas pressure in the gas-insulated metal-enclosed switchgear is selected as the temperature field optimization variable; the chamfer of the dynamic and static contact seat in the isolating switch compartment of the gas-insulated metal-enclosed switchgear is selected as the electric field optimization variable; the gas-insulated metal-enclosed switchgear is selected as the electric field optimization variable The wall thickness of the container in the isolating switch compartment of the switchgear is the stress optimization variable, and the value range of each optimization variable is estimated separately: l _i ≤ x _i ≤ _{u i} , i=1, 2,...n, where u _i , l _i is the upper limit and lower limit of the i-th dimension optimization variable respectively, i is the variable count, n is the dimension of the optimization variable;

The second step is to simulate the electric field, temperature field, and force by changing the values of each optimization variable, and perform nonlinear fitting on each optimization variable, that is, y=f(x ₁ , x ₂ , x ₃ … _xi ), i=1, 2, ... n;

The third step is to initialize the following parameters used in the ant colony optimization process, ant colony size m, pheromone volatility factor ρ, total amount of pheromone release Q, transition probability constant P ₀ and the maximum number of iterations Times;

The fourth step is to randomly place each ant in different positions in the function, and for each ant k (k=1, 2..., m), according to the transition probability calculation formula:

τ _ij (0)=F(X) to calculate the next feasible solution, where τ ₀ is the initial pheromone, F(X) is the objective function to be sought, and allowed _k represents the position that ant k is allowed to choose in the next step Set, then allowed _k = {F (X)-tabu _k }, tanuk represents the set of positions that ant k has walked through, and allowed k represents the set of positions that can be selected next;

In the fifth step, in the transition probability calculation formula, the closer the pheromone at the ant's location is to the current maximum value, the smaller the P _{ij is} , and the more it tends to fine-tune. Search, the initial distribution of each ant is calculated by the following formula:

Where rans∈[-1, 1] is a random number, P ₀ is a transition probability constant, X(t+1)=X(t)+rands×λ, λ decreases as the number of iterations increases, which belongs to local search, X ∈ [lower, upper] belongs to the global search;

The sixth step is to calculate the pheromone content of the location of each ant, and update the pheromone concentration of each location according to the pheromone iteration formula, according to the pheromone iteration formula: τ _ij (t+1)=(1-ρ)τ _ij (t)+Δτ _ij (t), Update, where (1-ρ) is the information residual factor, the increment of pheromone at the initial moment is 0, that is, Δτ _ij (0)=0, is the pheromone left by the kth ant on the path in this cycle, and Q is a constant, representing the total amount of pheromone released by the ant in one cycle;

In the seventh step, if the maximum number of iterations is reached, the calculation is terminated to output the optimal solution; otherwise, return to step 4 until the optimal solution is obtained, and the gas-insulated metal-enclosed switchgear is arranged according to the temperature field optimization variable for the total gas pressure; according to the electric field optimization variable The optimal solution selects the chamfer of the dynamic and static contact seat in the isolating switch compartment of the gas-insulated metal-enclosed switchgear; the thickness of the container wall in the isolating switch compartment of the gas-insulated metal-enclosed switchgear is selected according to the optimal solution of the force optimization variable.

In the described method, comprise the steps:

In the first step, the percentage of gas C5F10O in the total gas in the gas-insulated metal-enclosed switchgear is selected as the temperature field optimization variable;

In the seventh step, the gas-insulated metal-enclosed switchgear arranges the percentage of gas C5F10O in the total gas according to the temperature field optimization variable.

In the method, in the first step, the thickness of the dynamic and static contact seat in the isolating switch compartment of the gas-insulated metal-enclosed switchgear is selected as the electric field optimization variable;

The seventh step is to select the thickness of the dynamic and static contact seat in the isolating switch compartment of the gas-insulated metal-enclosed switchgear according to the optimal solution of the electric field optimization variable.

In the method, in the first step, the length of the moving contact in the isolating switch compartment of the gas-insulated metal-enclosed switchgear is selected as the electric field optimization variable;

The seventh step is to select the length of the movable contact seat in the isolating switch compartment of the gas-insulated metal-enclosed switchgear according to the optimal solution of the electric field optimization variable.

In the method, in the first step, the total pressure of gas in the gas-insulated metal-enclosed switchgear and the percentage of gas C5F10O in the total gas are selected as temperature field optimization variables; the isolating switch compartment of the gas-insulated metal-enclosed switchgear is selected The chamfer, thickness and length of the moving contact are the electric field optimization variables;

The seventh step, the gas-insulated metal-enclosed switchgear arranges the total gas pressure and the percentage of gas C5F10O in the total gas according to the temperature field optimization variable; selects the dynamic and static in the isolating switch compartment of the gas-insulated metal-enclosed switchgear according to the optimal solution of the electric field optimization variable The chamfer and thickness of the contact seat and the length of the moving contact.

In said method, in the seventh step, the maximum number of iterations exceeds 1000 times.

According to another aspect of the present invention, a gas-insulated metal-enclosed switchgear optimized according to the processing method comprises a bushing compartment, a left busbar compartment, a disconnector compartment and an earthing switch compartment connected in sequence, the disconnector Compartment includes dynamic and static contacts and moving contacts.

The chamfer and/or thickness of the dynamic and static contacts are arranged according to the optimal solution of the electric field optimization variable, and the thickness of the container wall in the disconnector compartment is arranged according to the optimal solution of the force optimization variable.

In the gas-insulated metal-enclosed switchgear, the length of the movable contact is arranged according to the optimal solution of the electric field optimization variable, the gas in the gas-insulated metal-enclosed switchgear includes C5F10O, and the percentage of gas C5F10O in the total gas According to the optimal solution arrangement of the temperature field optimization variables.

In the gas-insulated metal-enclosed switchgear, a left busbar is arranged on the left side of the bushing compartment, and a right busbar is arranged on the right side of the grounding switch compartment.

In the gas-insulated metal-enclosed switchgear, the thickness of the static and dynamic contacts is 10.0849mm, the length of the movable contacts is 34.4629mm, the chamfering radius of the chamfers of the static and dynamic contacts is 25mm, and the total pressure of the gas is 0.7 MPa, the content of C5F10O in the total gas is 30.247%.

The beneficial effect of the present invention is to combine ANSYS simulation and apply the ant colony algorithm to the optimization process of the environment-friendly gas-insulated metal-enclosed switchgear, adopt the environment-friendly gas as the insulating medium, and the performance of the environment-friendly gas-insulated metal-enclosed switchgear is excellent, The size is greatly reduced, the reliability is significantly improved, and the effective replacement of SF6 gas can be realized, which can comprehensively improve the various indicators of the optimized design of environmentally friendly gas-insulated metal-enclosed switchgear.

The above description is only an overview of the technical solution of the present invention. In order to make the technical means of the present invention clearer, to the extent that those skilled in the art can implement it according to the contents of the description, and to enable the above and other purposes of the present invention, The features and advantages can be more obvious and understandable, and the specific implementation manners of the present invention are illustrated below for illustration.

Description of drawings

Various other advantages and benefits of the present invention will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings in the description are for the purpose of illustrating preferred embodiments only and are not to be considered as limiting the invention. Obviously, the drawings described below are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to these drawings without creative efforts. Also throughout the drawings, the same reference numerals are used to denote the same parts.

In the attached picture:

Fig. 1 is a schematic diagram of the steps of a gas-insulated metal-enclosed switchgear processing method based on an ant colony algorithm according to an embodiment of the present invention;

2 is a schematic workflow diagram of a gas-insulated metal-enclosed switchgear processing method based on an ant colony algorithm according to an embodiment of the present invention;

Fig. 3 is a schematic structural diagram of a gas-insulated metal-enclosed switchgear according to an embodiment of the present invention.

The present invention will be further explained below in conjunction with the accompanying drawings and embodiments.

Detailed ways

Specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and is not limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. The specification and claims do not use differences in nouns as a way of distinguishing components, but use differences in functions of components as a criterion for distinguishing. "Includes" or "comprises" mentioned throughout the specification and claims is an open term, so it should be interpreted as "including but not limited to". The subsequent description of the specification is a preferred implementation mode for implementing the present invention, but the description is for the purpose of the general principles of the specification, and is not intended to limit the scope of the present invention. The scope of protection of the present invention should be defined by the appended claims.

In order to facilitate the understanding of the embodiments of the present invention, further explanations will be given below in conjunction with the accompanying drawings by taking specific embodiments as examples, and each drawing does not constitute a limitation to the embodiments of the present invention.

For a better understanding, Fig. 1 is a schematic diagram of the steps of the gas-insulated metal-enclosed switchgear processing method based on the ant colony algorithm. As shown in Fig. 1, a gas-insulated metal-enclosed switchgear processing method based on the ant colony algorithm includes the following steps ,

In the first step S1, the total gas pressure in the gas-insulated metal-enclosed switchgear is selected as the temperature field optimization variable; the chamfer of the dynamic and static contact seat in the disconnecting switch compartment 3 of the gas-insulated metal-enclosed switchgear is selected as the electric field optimization variable; the gas-insulated metal-enclosed switchgear is selected as the electric field optimization variable. The wall thickness of the container in the isolating switch compartment 3 of the metal-enclosed switchgear is the stress optimization variable, and the value range of each optimization variable is estimated separately: l _i ≤ x _i ≤ u _i , i=1, 2, ... n, where u _i , l _i are the upper limit and lower limit of the i-th dimension optimization variable respectively, i is the variable number, and n is the dimension of the optimization variable.

The second step S2 is to simulate the electric field, temperature field, and force by changing the values of each optimization variable, and perform nonlinear fitting on each optimization variable, that is, y=f(x ₁ , x ₂ , x ₃ ...x _i ), i=1, 2, ... n.

The third step S3 is to initialize the following parameters used in the ant colony optimization process, ant colony size m, pheromone volatility factor ρ, total amount of pheromone release Q, transition probability constant P ₀ and the maximum number of iterations Times.

In the fourth step S4, each ant is randomly placed in different positions in the function, and for each ant k (k=1, 2..., m), according to the transition probability calculation formula:

τ _ij (0)=F(X) to calculate the next feasible solution, where τ ₀ is the initial pheromone, F(X) is the objective function to be sought, and allowed _k represents the position that ant k is allowed to choose in the next step set, then allowed _k = {F(X)-tabu _k }.

The fifth step S5, in the transition probability calculation formula, the closer the pheromone at the ant's location is to the current maximum value, the smaller the P _{ij is} , and the more it tends to be fine-tuned; on the contrary, the farther it is from the maximum value, the larger the P _{ij is} , the more it tends to be For range search, the initial distribution of each ant is calculated with the following formula:

Where rans∈[-1, 1] is a random number, P ₀ is a transition probability constant, X(t+1)=X(t)+rands×λ, λ decreases as the number of iterations increases, which belongs to local search, X ∈ [lower, upper] belongs to the global search.

The sixth step S6 is to calculate the pheromone content of the location of each ant, and update the pheromone concentration of each location according to the pheromone iteration formula, according to the pheromone iteration formula: τ _ij (t+1)=(1-ρ) τ _ij (t)+Δτ _ij (t), Update, where (1-ρ) is the information residual factor, the increment of pheromone at the initial moment is 0, that is, Δτ _ij (0)=0, is the pheromone left by the kth ant on the path in this cycle, and Q is a constant, representing the total amount of pheromone released by the ant in one cycle.

In the seventh step S7, if the maximum number of iterations is reached, the calculation is terminated to output the optimal solution; otherwise, return to step 4 until the optimal solution is obtained, and the gas-insulated metal-enclosed switchgear arranges the total gas pressure according to the temperature field optimization variable; according to the electric field optimization variable Select the chamfer of the dynamic and static contact seat in the isolating switch compartment 3 of the gas-insulated metal-enclosed switchgear; select the container wall in the isolating switch compartment 3 of the gas-insulated metal-enclosed switchgear according to the optimal solution of the force optimization variable thickness.

The gas-insulated metal-enclosed switchgear processing method based on the ant colony algorithm of the present invention adopts environmentally friendly gas as the insulating medium, and the gas-insulated metal-enclosed switchgear has excellent insulation performance, greatly reduced volume, significantly improved reliability, and effectively replaces SF6 gas. , can make the indicators of gas-insulated metal-enclosed switchgear be comprehensively improved.

In a preferred embodiment of the gas-insulated metal-enclosed switchgear processing method based on the ant colony algorithm of the present invention, the following steps are also included:

In the first step S1, the percentage of gas C5F10O in the gas-insulated metal-enclosed switchgear to the total gas is selected as the temperature field optimization variable;

In the seventh step S7, the gas-insulated metal-enclosed switchgear arranges the percentage of gas C5F10O in the total gas according to the temperature field optimization variable.

In the preferred embodiment of the gas-insulated metal-enclosed switchgear processing method based on the ant colony algorithm of the present invention, in the first step S1, the thickness of the dynamic and static contact seat in the isolating switch compartment 3 of the gas-insulated metal-enclosed switchgear is selected as electric field optimization variables;

In the seventh step S7, the thickness of the dynamic and static contact seats in the isolating switch compartment 3 of the gas-insulated metal-enclosed switchgear is selected according to the optimal solution of the electric field optimization variable.

In the preferred embodiment of the gas-insulated metal-enclosed switchgear processing method based on the ant colony algorithm of the present invention, in the first step S1, the length of the moving contact in the isolating switch compartment 3 of the gas-insulated metal-enclosed switchgear is selected as electric field optimization variables;

In the seventh step S7, the length of the moving contact seat in the isolating switch compartment 3 of the gas-insulated metal-enclosed switchgear is selected according to the optimal solution of the electric field optimization variable.

In a preferred embodiment of the gas-insulated metal-enclosed switchgear processing method based on the ant colony algorithm of the present invention, in the first step S1, the total gas pressure in the gas-insulated metal-enclosed switchgear and the percentage of gas C5F10O in the total gas are selected as Temperature field optimization variable; select the chamfer, thickness and length of the moving contact seat in the isolating switch compartment 3 of the gas-insulated metal-enclosed switchgear as the electric field optimization variable;

In the seventh step S7, the gas-insulated metal-enclosed switchgear arranges the total gas pressure and the percentage of gas C5F10O in the total gas according to the temperature field optimization variable; selects the disconnector compartment 3 of the gas-insulated metal-enclosed switchgear according to the optimal solution of the electric field optimization variable The chamfer, thickness and length of the moving contact of the middle moving and static contact seat.

In a preferred embodiment of the ant colony algorithm-based gas-insulated metal-enclosed switchgear processing method of the present invention, in the seventh step S7, the maximum number of iterations exceeds 1000.

In order to further illustrate the present invention, in one embodiment, as shown in Figure 2, a schematic workflow diagram of a gas-insulated metal-enclosed switchgear processing method based on an ant colony algorithm according to an embodiment of the present invention, an environment-friendly gas-insulated metal-enclosed switchgear The optimal design method of equipment (GIS) is carried out as follows:

Step 1: Select the total gas pressure in GIS and the percentage of environmentally friendly gas C5F10O in the total gas as the main optimization variables for temperature field optimization; select the chamfer, thickness, and length of the dynamic and static contacts in the isolation switch compartment of the GIS is the main optimization variable for electric field optimization; select the wall thickness of the container in the isolation switch compartment of GIS as the main optimization variable for force optimization, and estimate the value range of each optimization variable: l _i ≤ x _i ≤ u _i , i=1, 2,...n, wherein u _i , l _i are the upper limit and lower limit of the i-th dimension optimization variable respectively, i is the number of variables, and n is the dimension of the optimization variable;

For the selection of each optimization variable, the variable that has the greatest impact on the performance index can be selected, not limited to each variable selected in the present invention, and the value range of each optimization variable should be selected within a reasonable range of engineering practice.

Step 2: By changing the value of each optimization component, simulate the electric field, temperature field, and force, and perform nonlinear fitting on each optimization component, that is, y=f(x ₁ , x ₂ , x ₃ ... x _i ), i=1, 2, ... n.

Given the initial value of the variable, some performance indicators are obtained based on the simulation data results of ANSYS: 1. Electric field optimization variables and simulation results

2 Temperature field optimization variables and simulation results

The same goes for force optimization.

Step 3: Initialize the parameters used in the ant colony optimization process, such as the size of the ant colony, the number of ants m, the pheromone volatilization factor ρ, the total amount of pheromone released Q, the transition probability constant P ₀ , and the maximum number of iterations Times.

Step 4: Place each ant randomly in different positions in the function, and for each ant k (k=1, 2..., m), calculate the transition probability according to the formula: τ _ij (0)=F(X) to calculate the next feasible solution, where τ ₀ is the initial pheromone, F(X) is the objective function to be sought, and allowed _k represents the position that ant k is allowed to choose in the next step Set, then allowed _k = {F (X)-tabu _k }, tanuk represents the set of positions that ant k has walked through, and allowed k represents the set of positions that can be selected next;

Step 5: It can be seen from the transfer formula that the closer the pheromone at the ant's location is to the current maximum value, the smaller the P _{ij is} , and the more it tends to fine-tune. search. Therefore, the initial distribution of each ant is calculated by the following formula:

Among them, rans∈[-1, 1] is a random number, and P ₀ is a transition probability constant. X(t+1)=X(t)+rands×λ, λ decreases as the number of iterations increases, which belongs to local search, X ∈ [lower, upper] belongs to the global search.

Step 6: Calculate the pheromone content of each ant's location, and update the pheromone concentration of each location according to the pheromone iteration formula, according to the following formula: τ _ij (t+1)=(1-ρ)τ _ij (t )+Δτ _ij (t), Update, where Q is a constant, indicating the total amount of pheromone released by the ant in one cycle, (1-ρ) is the information residual factor, and the increment of pheromone at the initial moment is 0, that is, Δτ _ij (0)=0. is the pheromone left by the kth ant on the path in this cycle, and

Step 7: If the maximum number of iterations is reached, the calculation is terminated and the optimal solution is output. Otherwise return to step 4. The gas-insulated metal-enclosed switchgear arranges the total gas pressure and the percentage of gas C5F10O in the total gas according to the temperature field optimization variable; selects the inversion of the dynamic and static contact seat in the isolating switch compartment of the gas-insulated metal-enclosed switchgear according to the optimal solution of the electric field optimization variable The angle, thickness and length of the moving contact; according to the optimal solution of the force optimization variables, the wall thickness of the container in the isolating switch compartment of the gas-insulated metal-enclosed switchgear is selected.

Fig. 3 is a schematic structural diagram of a gas-insulated metal-enclosed switchgear according to an embodiment of the present invention. A gas-insulated metal-enclosed switchgear optimized according to the processing method includes a bushing compartment 1 and a left busbar compartment 2 connected in sequence 1. The isolating switch compartment 3 and the grounding switch compartment 4, the isolating switch compartment 3 includes a moving and static contact seat and a moving contact.

The chamfer and/or thickness of the dynamic and static contacts are arranged according to the optimal solution of the electric field optimization variable, and the thickness of the container wall in the disconnector compartment 3 is arranged according to the optimal solution of the force optimization variable.

In a preferred embodiment of the gas-insulated metal-enclosed switchgear of the present invention, the length of the movable contact is arranged according to the optimal solution of the electric field optimization variable, and the gas in the gas-insulated metal-enclosed switchgear includes C5F10O, gas C5F10O The percentage of the total gas is arranged according to the optimal solution of the temperature field optimization variable.

In a preferred embodiment of the gas-insulated metal-enclosed switchgear of the present invention, a left busbar 5 is provided on the left side of the bushing compartment 1 , and a right busbar 6 is provided on the right side of the grounding switch compartment 4 .

In the preferred embodiment of the gas-insulated metal-enclosed switchgear according to the present invention, the thickness of the dynamic and static contact seat is 10.0849 mm, the length of the movable contact is 34.4629 mm, the chamfering radius of the dynamic and static contact seat is 25 mm, and the gas total The pressure of the pressure is 0.7MPa, and the content of C5F10O in the total gas is 30.247%.

The gas-insulated metal-enclosed switchgear of the present invention optimizes the design of the electric field, temperature field, and stress inside the GIS through a processing method, thereby improving various performance indicators of the GIS.

Although the embodiments of the present invention have been described above in conjunction with the accompanying drawings, the present invention is not limited to the above-mentioned specific embodiments and application fields, and the above-mentioned specific embodiments are only illustrative, instructive, and not restrictive . Under the enlightenment of this description and without departing from the protection scope of the claims of the present invention, those skilled in the art can also make many forms, which all belong to the protection of the present invention.

Claims (10)

1. a kind of Cubicle Gas-Insulated Switchgear processing method based on ant group algorithm, processing method includes following step Suddenly,

First step (S1), choose Cubicle Gas-Insulated Switchgear in total gas pressure as optimizing temperature field variable； The chamfering for choosing sound touch base in the disconnecting switch compartment (3) of Cubicle Gas-Insulated Switchgear is electric Field Optimization variable； It is stress optimized variable to choose container wall thickness in the disconnecting switch compartment (3) of Cubicle Gas-Insulated Switchgear, and point The value range of each optimized variable is not estimated：l_i≤x_i≤u_i, i=1, wherein 2 ... n, u_i、l_iRespectively i-th dimension optimized variable The upper limit, lower limit, i count for variable, and n is optimized variable dimension；

Second step (S2) by changing the value of each optimized variable, emulates electric field, temperature field, stress, to each optimization Variable carries out nonlinear fitting, i.e. y=f (x₁, x₂, x₃…x_i), i=1,2 ... n；

Third step (S3), the following parameter that initialization ant group optimization is used in the process, ant colony scale m, pheromones degree of volatility Factor ρ, pheromone release total amount Q, transition probability constant P₀With maximum iteration Times；

Four steps (S4), the different position each ant being randomly placed in function, to each ant k (k=1,2. ..., M), according to transition probability calculation formula：

To calculate the mode of next feasible solution, wherein τ₀For initial information element, F (X) is object function to be sought, allowed_kRepresent that ant k allows the set of position of selection in next step, then allowed_k={ F (X)-tabu_k, tanuk is represented The set for the position that ant k has passed by, allowedk represent the set of the next position that can be selected；

5th step (S5), in transition probability calculation formula, the pheromones of ant position are more close to current maximum, P_ijMore It is small, more tend to finely tune, on the contrary, P more remote away from maximum_ijIt is bigger, more tend to extensive search, the initial distribution of each ant, It is calculated with following formula：

Wherein rands ∈ [- 1,1], for random number, P₀For transition probability constant, X (t+1)=X (t)+rands × λ,λ with It the increase of iterations and reduces, belong to local search,Belong to In global search；

6th step (S6) calculates the information cellulose content of each ant position, according to pheromones iterative formula to each position The pheromone concentration that putting is is updated, by pheromones iterative formula：τ_ij(t+1)=(1- ρ) τ_ij(t)+Δτ_ij(t),It is updated, wherein (1- ρ) is the information residual factor, the increment of initial time pheromones is 0, i.e. Δ τ_ij(0)=0,The pheromones on path are stayed in this cycling for kth ant, andQ is constant, represents that ant follows The pheromones total amount that ring is once discharged；

7th step (S7) if reaching maximum iteration, terminates calculating output optimal solution；Otherwise return to step 4, until To optimal solution, Cubicle Gas-Insulated Switchgear arranges total gas pressure according to optimizing temperature field variable；It is excellent according to electric field Change the chamfering of sound touch base in the disconnecting switch compartment (3) of the optimal solution selection Cubicle Gas-Insulated Switchgear of variable； According to chamber wall in the disconnecting switch compartment (3) of the optimal solution selection Cubicle Gas-Insulated Switchgear of stress optimized variable Thickness.

2. according to the method described in claim 1, it is characterized in that, preferably, further include following steps：

First step (S1) chooses the percentage conduct that gas C5F10O in Cubicle Gas-Insulated Switchgear accounts for total gas Optimizing temperature field variable；

7th step (S7), Cubicle Gas-Insulated Switchgear account for always according to optimizing temperature field variable arrangement gas C5F10O The percentage of gas.

3. according to the method described in claim 1, it is characterized in that：In first step (S1), gas-insulated metal envelope is chosen The thickness for closing sound touch base in the disconnecting switch compartment (3) of switchgear is electric Field Optimization variable；

7th step (S7) chooses keeping apart for Cubicle Gas-Insulated Switchgear according to the optimal solution of electric Field Optimization variable Close the thickness of sound touch base in compartment (3).

4. according to the method described in claim 1, it is characterized in that：In first step (S1), gas-insulated metal envelope is chosen The length for closing moving contact in the disconnecting switch compartment (3) of switchgear is electric Field Optimization variable；

7th step (S7) chooses keeping apart for Cubicle Gas-Insulated Switchgear according to the optimal solution of electric Field Optimization variable Close the length of moving contact seat in compartment (3).

5. according to the method described in claim 1, it is characterized in that：In first step (S1), gas-insulated metal envelope is chosen It closes total gas pressure and gas C5F10O in switchgear and accounts for the percentage of total gas as optimizing temperature field variable；Choose gas The length of the chamfering of sound touch base, thickness and moving contact is in the disconnecting switch compartment (3) of insulated metal closed switch equipment Electric Field Optimization variable；

7th step (S7), Cubicle Gas-Insulated Switchgear are gentle according to optimizing temperature field variable arrangement total gas pressure Body C5F10O accounts for the percentage of total gas；Cubicle Gas-Insulated Switchgear is chosen according to the optimal solution of electric Field Optimization variable Disconnecting switch compartment (3) in the chamfering of sound touch base, thickness and moving contact length.

6. according to the method described in claim 1, it is characterized in that：7th step (S7), maximum iteration is more than 1000 times.

7. a kind of Cubicle Gas-Insulated Switchgear of the optimization of the processing method according to any one of claim 1-6, The Cubicle Gas-Insulated Switchgear includes sequentially connected casing compartment (1), left busbar compartment (2), disconnecting switch Compartment (3) and earthing switch compartment (4), the disconnecting switch compartment (3) include sound touch base and moving contact, it is characterised in that：

The chamfering of sound touch base and/or thickness arranges according to the optimal solution of electric Field Optimization variable, container in disconnecting switch compartment (3) Wall thickness is arranged according to the optimal solution of stress optimized variable.

8. Cubicle Gas-Insulated Switchgear according to claim 7, it is characterised in that：The length of the moving contact It is arranged according to the optimal solution of electric Field Optimization variable, the gas in the Cubicle Gas-Insulated Switchgear includes C5F10O, The percentage that gas C5F10O accounts for total gas is arranged according to the optimal solution of optimizing temperature field variable.

9. Cubicle Gas-Insulated Switchgear according to claim 7, it is characterised in that：A left side for casing compartment (1) Side is equipped with left busbar (5), and the right side of earthing switch compartment (4) is equipped with right busbar (6).

10. Cubicle Gas-Insulated Switchgear according to claim 7, it is characterised in that：The thickness of sound touch base 10.0849 be mm, and the length of the moving contact is 34.4629mm, the chamfer radius 25mm of sound touch base chamfering, total gas pressure Pressure for 0.7MPa, contents 30.247% of the C5F10O in total gas.