CN103310055A - Method of designing high-frequency high-voltage transformer for electrostatic dust collection - Google Patents
Method of designing high-frequency high-voltage transformer for electrostatic dust collection Download PDFInfo
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Abstract
The invention discloses a method of designing a high-frequency high-voltage transformer for electrostatic dust collection. The method comprises the steps of designing the high-frequency high-voltage high-power transformer, carrying out type selection on materials, applying a particle swarm optimization algorithm to an optimization design of the transformer, and optimizing the high-frequency high-voltage transformer by taking the efficiency as a goal. Compared with the prior art, the particle swarm optimization algorithm is introduced, the transformer can be optimized in characteristics of strong coupling property and dynamic property between the parameters of the transformer, and a method of randomly adjusting the inertia weight is introduced in the particle swarm optimization algorithm at the same time, so that the algorithm optimization efficiency is greatly improved.
Description
Technical field
The present invention relates to a kind of method for designing of transformer, specifically a kind of electrostatic precipitation method for designing of high frequency high voltage transformer.
Background technology
Along with rapid development of economy, the rapid emergence in modernized industrial city, human pollution to air is on the rise.Among the city that many cigarette halogen stand in great numbers, there is every day a large amount of flue gases to be discharged, these flue gases are carrying a large amount of dust, are having a strong impact on human health and ecologic environment, become one of four large pollutants.Along with human living standard's raising, environment is proposed more and more higher requirement, to this, China has successively formulated a series of laws and regulations and relevant criterion, the dust concentration in the restriction industrial smoke.On January 1st, 2012, State Environmental Protection Administration and State Administration for Quality Supervision and Inspection and Quarantine issue again and implement GB " fossil-fuel power plant atmospheric pollutant emission standard " jointly.This standard has been carried out more strict regulation to the highest permission concentration of emission of flue dust, is reduced to the 30mg/ cubic meter by original 50mg/ cubic meter, and requires to enforce.This so that present stage the existing power frequency electric precipitator country of thermal power plant that is difficult to reach new allow emission standard.
The appearance of high frequency electric source, can solve the problem that power frequency supply is faced, high frequency electric source is large with corona discharge power, the spark control performance is good, adaptability is stronger, energy saving and efficiency increasing obviously, highly integrated and miniaturization, the advantage such as easy for installation be subject to more and more researchers' attention.Yet Current Domestic high-frequency transformer through-put power is difficult to do greatly, and the transfer efficiency of high-frequency transformer is not high yet, cause domestic electrostatic precipitation not high with high-frequency and high-voltage power supply overall transfer power, transfer efficiency is low, the loss of transformer and temperature rise are very large, the product of producing also is confined to the dedusting power source of miniwatt grade, this so that the high-frequency dust removing power supply be difficult to be used widely.
Summary of the invention
Little in order to overcome existing high-frequency transformer through-put power, the problem that transfer efficiency is low, the purpose of this invention is to provide a kind of electrostatic precipitation method for designing of high frequency high voltage transformer, the high frequency high voltage transformer frequency of operation that the method obtains reaches 20kHz, and through-put power reaches 80kVA, adopts particle swarm optimization that the transformer of design is optimized, its transfer efficiency is greatly improved, the transformer temperature rise obviously descends, and the transformer operation is more stable, longer service life.
The objective of the invention is to be achieved through the following technical solutions:
A kind of electrostatic precipitation method for designing of high frequency high voltage transformer is characterized in that: the method uses particle swarm optimization that high frequency high voltage transformer is optimized, and may further comprise the steps:
1) as requested, determines former secondary winding turns ratio, determine former secondary rated current;
2) select core material and core structure form; The iron core material adopts the 0.8mil(Mill) thick ultracrystallite magnetic core.
3) calculating core section amasss and core dimensions; Described core dimensions is: 270*170*60*60, and namely the core window area is 270*170, core section is long-pending to be 60*60.Satisfy the wind the line requirement of shared space and High-Voltage Insulation characteristic of high-low pressure winding, and satisfy the powerful requirement of transmission.
4) determine former secondary umber of turn;
5) winding and principal and subordinate's insulating structure design;
6) high-low pressure Winding Design;
7) adjust the core window area, if core window meets the demands, then execution in step 8), otherwise get back to step 3);
8) calculate based on the copper loss under winding kelvin effect and the proximity effect, if copper loss meets the demands, then execution in step 9), otherwise get back to step 6);
9) calculate core loss, if core loss meets the demands, then execution in step 10), otherwise get back to step 2);
10) the employing particle swarm optimization carries out the parameter optimization take efficient as target, if efficient meets the demands, and execution in step 11), otherwise get back to step 4), majorized function is:
Wherein: n is the turns ratio of primary and secondary in the transformer;
D is the coil wire diameter;
B is the magnetic induction density of magnetic material;
Among the present invention, take the magnetic induction density of the turns ratio of primary and secondary, coil wire diameter, magnetic material as optimized variable, transformer efficiency is optimization aim, uses swarm optimization algorithm.
With the pass of the concrete data of transformer be: at first release objective function according to correlation formula, wherein contain the transformer design parameter, the data that wherein need to optimize are made as variable, can obtain the concrete numerical value of variable under the optimal conditions after objective function is optimized.
11) determine the distribution parameter of transformer;
12) Temperature Rise Analysis of transformer and heat dissipation design;
13) determine fuel tank size and cooling device;
14) calculate temperature rise, if the transformer temperature rise meets the demands, continue next step, otherwise get back to step 12);
15) transformer weight is calculated;
16) draw the transformer outline dimensional drawing, finish design of transformer.
Among the present invention, use particle swarm optimization that high frequency high voltage transformer is optimized, may further comprise the steps:
(1) definition is used for optimizing the Particle Swarm parameter of high frequency high voltage transformer, and the Particle Swarm parameter is carried out initialization, gives binding occurrence such as m inequality constrain condition to high frequency high voltage transformer, gives initialization value to s equality constraint;
(2) Particle Swarm evolutionary generation gen and population scale size popsize is set;
(3) the maximal rate max_velocity of Particle Swarm is set;
(4) 0 matrix of capable 8 row of establishment popsize is initialization of population, wherein the 1st classify the x axial coordinate as, the 2nd classifies the y axial coordinate as, the 3rd classifies x axle speed component as, the 4th classifies y axle speed component as, and the 5th classifies the x axial coordinate of personal best particle as, and the 6th classifies the y axial coordinate of personal best particle as, the 7th classify as individual optimum just when, the 8th classifies current individual fitness as;
(5) estimate each Particle Swarm fitness;
(6) inertia weight and cognitive coefficient and coefficient of association are linked together, derive inertia weight
Randomized policy be:
(7) calculate individual historical optimal location;
(8) calculate the historical optimal location of colony;
(9) upgrade Particle Swarm speed and position according to speed and position renewal equation;
(10) judge that whether end condition satisfies, if satisfy, optimize and finish, saving result is not if satisfy then turn back to step (5).
The iron core of high frequency high voltage transformer adopts high performance ultracrystallite magnetic core, ultracrystallite magnetic is to adopt super emergency cooling process that the molten steel of fusing is cooled off rapidly with the speed of per second 1,000,000 degree, the crystallization and freezing that temperature by so quick cooling occurs forms thickness and is approximately 30
Strip, the strip of formation does not have the length ordered structure, does not have grain and grain boundary yet, so be referred to as amorphous alloy yet.The soft magnet performance of this class material is good, and hardness is high, good corrosion resistance, and saturation magnetic induction is high, and coercive force is little, and resistivity is high, and loss is little, uses in switching mode power supply transformer, has a volume little, the high advantage such as energy-conservation of efficient.
Beneficial effect of the present invention is: the Optimization Design of a kind of high frequency high voltage transformer that the present invention proposes, the frequency of operation of its transformer is high, through-put power is large, volume is little, frequency of operation reaches 20kHz, through-put power reaches 80kVA, adopt Particle Swarm Optimization, solve the strong coupling problem between each parameter of transformer, comprehensive optimizing on the feature of the strong coupling between each parameter of transformer and dynamic has improved the operational efficiency of transformer greatly, and the transformer temperature rise obviously descends, the transformer operation is more stable, longer service life.
Description of drawings
Fig. 1 high-frequency electrostatic fly-ash separator structured flowchart;
Fig. 2 is based on the process flow diagram of the design of transformer method of high frequency and high pressure characteristics;
Fig. 3 is based on the process flow diagram of the high frequency high voltage transformer optimization method of particle swarm optimization;
The particle speed of Fig. 4 particle swarm optimization and position are upgraded and are shown process flow diagram;
The particle position of Fig. 5 particle swarm optimization upgrades schematic diagram;
The physical dimension schematic diagram of microcrystalline iron core among Fig. 6 the present invention.
Specific implementation method
The present invention is further described below with reference to accompanying drawing and specific implementation method.
As depicted in figs. 1 and 2, for being applied in the design flow diagram based on the high-frequency and high-voltage transformation on the electrostatic precipitation, concrete steps are:
1) determines each primitive technology data according to design objective, determine former secondary winding turns ratio, determine former secondary rated current;
2) select core material and core structure form, the present invention adopts the ultracrystallite magnetic core as transformer core, and the microcrystalline iron core version of selection as shown in Figure 5.The iron core material adopts the 0.8mil(Mill) thick ultracrystallite magnetic core.
3) calculating core section amasss and core dimensions; Described core dimensions is: 270*170*60*60, and namely the core window area is 270*170, core section is long-pending to be 60*60.Satisfy the wind the line requirement of shared space and High-Voltage Insulation characteristic of high-low pressure winding, and satisfy the powerful requirement of transmission.
4) determine former secondary umber of turn;
5) winding and principal and subordinate's insulating structure design;
6) high-low pressure Winding Design;
7) adjust the core window area, if core window meets the demands, then execution in step 8), otherwise get back to step 3);
8) calculate based on the copper loss under winding kelvin effect and the proximity effect, if copper loss meets the demands, then execution in step 9), otherwise get back to step 6);
9) calculate core loss, if core loss meets the demands, then execution in step 10), otherwise get back to step 2);
10) adopt the parameter optimization of particle swarm optimization take efficient as target, if efficient meets the demands, execution in step 11), otherwise get back to step (4), majorized function is:
Wherein: n is the coil ratio of primary and secondary in the transformer;
D is the coil wire diameter;
B is the magnetic induction density of magnetic material;
Be m inequality constrain condition, as be subjected to power to limit wire diameter d more than or equal to certain value etc.;
11) determine the distribution parameter of transformer;
12) Temperature Rise Analysis of transformer and heat dissipation design;
13) determine fuel tank size and cooling device;
14) calculate temperature rise, particularly, the heat that iron loss and copper loss produce will at first make the temperature of iron core and winding progressively raise.At first, temperature rises very fast, but the rising along with iron core and winding temperature, they just have certain temperature difference (crying again the temperature difference or temperature rise) to heat eliminating medium (such as oil or air) on every side, at this moment winding and iron core just pass to a part of heat in the surrounding medium and go, thereby the medium temperature around making raises, at this moment, because winding and some heat of iron core are passed to surrounding medium, therefore the speed that self-temperature rises will slow down gradually.After after a while, winding and iron core temperature finally reach steady state (SS), and no longer raise, and the heat that at this moment winding and iron core continuation produces will all fall apart in surrounding medium.This just is called thermal equilibrium state.
If the transformer temperature rise meets the demands, continue next step, otherwise get back to step 12);
The heat loss through convection computing formula of transformer is:
In the formula
Q1---temperature rise, K.
The heat loss through radiation computing formula of transformer is:
In the formula
---when the temperature difference is 1 degree centigrade, by the heat that gives off on the radiator per surface;
T1, T2---radiator and air or the on every side absolute temperature of object (K), i.e. T1=273+t1; T2=273+t2;
C---constant, relevant with the surface condition of radiation object,
Total heat dissipation capacity that therefore, can get transformer is:
In the formula
---the heat loss through convection amount;
15) transformer weight is calculated;
16) draw the transformer outline dimensional drawing.
As shown in Figure 3, be the process flow diagram based on the high frequency high voltage transformer optimization method of particle swarm optimization, concrete steps are:
(1) definition is used for optimizing the Particle Swarm parameter of high frequency high voltage transformer, and the Particle Swarm parameter is carried out initialization, gives binding occurrence such as m inequality constrain condition to high frequency high voltage transformer, gives initialization value to s equality constraint;
(2) arrange Particle Swarm evolutionary generation gen be 50 and population scale size popsize be 200;
(3) the maximal rate max_velocity that Particle Swarm is set is 0.003;
(4) 0 matrix of capable 8 row of establishment popsize is initialization of population, wherein the 1st classify the x axial coordinate as, the 2nd classifies the y axial coordinate as, the 3rd classifies x axle speed component as, the 4th classifies y axle speed component as, and the 5th classifies the x axial coordinate of personal best particle as, and the 6th classifies the y axial coordinate of personal best particle as, the 7th classify as individual optimum just when, the 8th classifies current individual fitness as;
(5) estimate each Particle Swarm fitness;
(6) inertia weight and cognitive coefficient and coefficient of association are linked together, derive inertia weight
Randomized policy be:
(7) calculate individual historical optimal location;
] the historical optimal location of (8) calculating colony;
(9) upgrade Particle Swarm speed and position according to speed and position renewal equation, the more new formula of particle speed and position is:
In the formula
---Inertia weight factor;
C1, c2---positive aceleration pulse;
R1, r2---the random number between 0 to 1.
The speed of particulate and position update flow figure and schematic diagram are respectively shown in Figure 4 and 5.
(10) judge that whether end condition satisfies, if satisfy, optimize and finish, saving result is not if satisfy then turn back to step (5).
Claims (4)
1. an electrostatic precipitation is with the method for designing of high frequency high voltage transformer, and it is characterized in that: the method uses particle swarm optimization that high frequency high voltage transformer is optimized, and may further comprise the steps:
1) as requested, determines former secondary winding turns ratio, determine former secondary rated current;
2) select core material and core structure form;
3) calculating core section amasss and core dimensions;
4) determine former secondary umber of turn;
5) winding and principal and subordinate's insulating structure design;
6) high-low pressure Winding Design;
7) adjust the core window area, if core window meets the demands, then execution in step 8), otherwise get back to step 3);
8) calculate based on the copper loss under winding kelvin effect and the proximity effect, if copper loss meets the demands, then execution in step 9), otherwise get back to step 6);
9) calculate core loss, if core loss meets the demands, then execution in step 10), otherwise get back to step 2);
10) the employing particle swarm optimization carries out the parameter optimization take efficient as target, if efficient meets the demands, and execution in step 11), otherwise get back to step 4), majorized function is:
Wherein: n is the turns ratio of primary and secondary in the transformer;
D is the coil wire diameter;
B is the magnetic induction density of magnetic material;
11) determine the distribution parameter of transformer;
12) Temperature Rise Analysis of transformer and heat dissipation design;
13) determine fuel tank size and cooling device;
14) calculate temperature rise, if the transformer temperature rise meets the demands, continue next step, otherwise get back to step 12);
15) transformer weight is calculated;
16) draw the transformer outline dimensional drawing, finish design of transformer.
2. electrostatic precipitation according to claim 1 is with the method for designing of high frequency high voltage transformer, and it is characterized in that: described step 2), the iron core material adopts the thick ultracrystallite magnetic core of 0.8mil.
3. electrostatic precipitation according to claim 1 is with the method for designing of high frequency high voltage transformer, and it is characterized in that: in the described step 3), described core dimensions is: 270*170*60*60, and namely the core window area is 270*170, core section is long-pending to be 60*60.
4. electrostatic precipitation according to claim 1 is characterized in that: use particle swarm optimization that high frequency high voltage transformer is optimized, may further comprise the steps with the method for designing of high frequency high voltage transformer:
(1) definition is used for optimizing the Particle Swarm parameter of high frequency high voltage transformer, and the Particle Swarm parameter is carried out initialization, gives binding occurrence such as m inequality constrain condition to high frequency high voltage transformer, gives initialization value to s equality constraint;
(2) Particle Swarm evolutionary generation gen and population scale size popsize is set;
(3) the maximal rate max_velocity of Particle Swarm is set;
(4) 0 matrix of capable 8 row of establishment popsize is initialization of population, wherein the 1st classify the x axial coordinate as, the 2nd classifies the y axial coordinate as, the 3rd classifies x axle speed component as, the 4th classifies y axle speed component as, and the 5th classifies the x axial coordinate of personal best particle as, and the 6th classifies the y axial coordinate of personal best particle as, the 7th classify as individual optimum just when, the 8th classifies current individual fitness as;
(5) estimate each Particle Swarm fitness;
(6) inertia weight and cognitive coefficient and coefficient of association are linked together, derive inertia weight
Randomized policy be:
(7) calculate individual historical optimal location;
(8) calculate the historical optimal location of colony;
(9) upgrade Particle Swarm speed and position according to speed and position renewal equation;
(10) judge that whether end condition satisfies, if satisfy, optimize and finish, saving result is not if satisfy then turn back to step (5).
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104317979A (en) * | 2014-08-20 | 2015-01-28 | 江苏科技大学 | High-frequency high-voltage transformer design optimization method based on genetic algorithm |
| CN104538166A (en) * | 2015-01-14 | 2015-04-22 | 泰州市鑫仪电器有限公司 | Designing method for single-phase intelligent ammeter power transformer |
| CN105742047A (en) * | 2015-12-30 | 2016-07-06 | 国网智能电网研究院 | Control method for inductance parameter of high-frequency transformer body |
| CN106096106A (en) * | 2016-06-03 | 2016-11-09 | 江苏科技大学 | High-frequency high-voltage transformer for electrostatic dust collection Optimization Design |
| CN106599488A (en) * | 2016-12-16 | 2017-04-26 | 保定天威集团特变电气有限公司 | Automatic transformer coil drawing method and system |
| CN108010701A (en) * | 2017-12-22 | 2018-05-08 | 中国科学院重庆绿色智能技术研究院 | A kind of UI, UU type powder core copped wave inductance non-standard de-sign method |
| CN114785180A (en) * | 2022-05-26 | 2022-07-22 | 上海交通大学 | Micro inverter magnetic element parameter optimization design method based on mode switching control |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104317979A (en) * | 2014-08-20 | 2015-01-28 | 江苏科技大学 | High-frequency high-voltage transformer design optimization method based on genetic algorithm |
| CN104317979B (en) * | 2014-08-20 | 2018-01-30 | 江苏科技大学 | High frequency high voltage transformer design optimization method based on genetic algorithm |
| CN104538166A (en) * | 2015-01-14 | 2015-04-22 | 泰州市鑫仪电器有限公司 | Designing method for single-phase intelligent ammeter power transformer |
| CN105742047A (en) * | 2015-12-30 | 2016-07-06 | 国网智能电网研究院 | Control method for inductance parameter of high-frequency transformer body |
| CN106096106A (en) * | 2016-06-03 | 2016-11-09 | 江苏科技大学 | High-frequency high-voltage transformer for electrostatic dust collection Optimization Design |
| CN106096106B (en) * | 2016-06-03 | 2019-04-23 | 江苏科技大学 | High-frequency high-voltage transformer for electrostatic dust collection optimum design method |
| CN106599488A (en) * | 2016-12-16 | 2017-04-26 | 保定天威集团特变电气有限公司 | Automatic transformer coil drawing method and system |
| CN108010701A (en) * | 2017-12-22 | 2018-05-08 | 中国科学院重庆绿色智能技术研究院 | A kind of UI, UU type powder core copped wave inductance non-standard de-sign method |
| CN114785180A (en) * | 2022-05-26 | 2022-07-22 | 上海交通大学 | Micro inverter magnetic element parameter optimization design method based on mode switching control |
| CN114785180B (en) * | 2022-05-26 | 2023-06-02 | 上海交通大学 | Micro-inverter magnetic element parameter optimization design method based on mode switching control |
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