CN104201955A - Ultra high voltage conversion transformer tap switch control method based on variable discourse domain fuzzy - Google Patents
Ultra high voltage conversion transformer tap switch control method based on variable discourse domain fuzzy Download PDFInfo
- Publication number
- CN104201955A CN104201955A CN201410396104.9A CN201410396104A CN104201955A CN 104201955 A CN104201955 A CN 104201955A CN 201410396104 A CN201410396104 A CN 201410396104A CN 104201955 A CN104201955 A CN 104201955A
- Authority
- CN
- China
- Prior art keywords
- angle
- change
- domain
- dangle
- fuzzy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Feedback Control In General (AREA)
Abstract
The invention discloses an ultra high voltage conversion transformer tap switch control method based on variable discourse domain fuzzy and belongs to the field of ultra high voltage direct current power transmission system control. The control method is divided into three stages. The first stage includes fuzzily inputting data, namely the triggering angle and the variation of the angle; the second stage includes determining the discourse domains of the triggering angle and the variation; the third stage includes utilizing a fuzzy rule list to conduct deduction on the triggering angle and the variation subjected to discourse domain change to obtain an output gear. The method achieves accurate control of a tap switch, the accurate gear can be found quickly in the control process when a valve group tap switch has the fault that cannot be adjusted, and the reliability of an ultra high voltage direct current power transmission system is improved.
Description
Technical field
The present invention relates to extra-high voltage DC transmission system control technology field, particularly relate to and a kind ofly connect method of controlling switch based on becoming domain fuzzy extra-high voltage converter variation.
Background technology
HVDC (High Voltage Direct Current) transmission system is mainly made up of AC system, converting plant, long distance transmission line, Inverter Station.Converting plant is direct current by converter valve group by AC rectification, and after direct current is transferred to Inverter Station by circuit, through Inverter Station valve group, inversion is that alternating current is for use again.
Existing extra-high voltage DC transmission system rectification side is composed in series by two valve groups, the control of each valve group voltage be by Trigger Angle separately of each valve group and the change of current are become shunting switch jointly control realize.The method that improves valve group voltage is to reduce Trigger Angle and reduce change of current change tap changer gear, and the method that reduces rectification side valve group voltage improves valve group Trigger Angle and improves change of current change tap changer gear.Simultaneously for the stable operation that ensures valve group reduces the probability that commutation failure occurs, the Trigger Angle of rectification side valve group has an optimum operation scope, need to maintain between 12.5 ° to 17.5 °, change of current change shunting switch and angle control cooperation, in the situation that ensureing voltage in normal range (NR), also remain within the scope of optimum operation Trigger Angle.
In extra-high voltage DC transmission system, the control method of change of current change shunting switch mainly contains and automatically determines angle control and automatically determine two kinds of modes of voltage control.Automatically determine angle control and comprise that rectification side converter transformer determines the control of angle automatically, the control target that rectification side converter transformer is determined angle is automatically to ensure that by the position of the change change of current variation joint converter Trigger Angle is in given scope.Adjust by change of current variation joint gear, the Trigger Angle of rectification side is remained between the normal range (NR) of 12.5 ° to 17.5 °.In rectification side, when Trigger Angle is during lower than 12.5 °, change of current variation connects on-off control system and sends and reduce tap order; When Trigger Angle is during higher than 17.5 °, send the order of rising tap.
Currently automatically determine gear adjustment that the change of current under angle mode becomes shunting switch and carry and find that the increase gear of angle after out-of-limit and the process of reduction gear all need to add and subtract by shelves, this being adjusted at occurs in the serious out-of-limit situation of valve group Trigger Angle, can only regulate by shelves, adjustment process is slower, can not realize the Based Intelligent Control of shunting switch.
Summary of the invention
The object of the invention is to connect method of controlling switch in the defect aspect manual intelligent in order to make up current extra-high voltage converter variation, taking tap changer control rapid adjustment, raising shunting switch control stability as target, propose a kind ofly to connect method of controlling switch based on becoming domain fuzzy change of current variation, realize the Based Intelligent Control of shunting switch, can make to find fast the tap gear that can make system even running in control procedure, improve the robustness of shunting switch control system.
Object of the present invention is achieved through the following technical solutions:
A kind ofly connect method of controlling switch based on becoming domain fuzzy change of current variation, it is characterized in that, change of current variation connects method of controlling switch and connects on-off control system realization by change of current variation, described change of current variation connect on-off control system be Shuan Shu Ru single output system, adopt two inputs as fuzzy controller of tap changer control letter Trigger Angle and variable quantity thereof; Two inputs are determined output by the fuzzy reasoning that becomes domain Fuzzy control system; Comprise the steps:
1) determine the domain of Trigger Angle and variable quantity thereof
Domain refers to the excursion of input variable; Contraction-expansion factor is for changing the size of domain; The design of contraction-expansion factor; Suc as formula shown in (1 1);
α
angle＝(sumANGLE/30/DomainANGLE)
0.8
α
dangle＝(sumdANGLE/30/DomaindANGLE)
0.8 (1-1)
Wherein sumANGLE is the adding and value of Trigger Angle angle in cycle of front 30 of the current cycle of operation of record, and DomainANGLE is the thresholding of the change of current change Trigger Angle angle of outside input; SumdANGLE is the adding and value of dangle in front 30 cycles of the current cycle of operation of record, and DomaindANGLE is the thresholding of the variable quantity dangle of the change of current change Trigger Angle of outside input;
Before domain changes, the basic domain of Trigger Angle angle be [0,0.5244], is 0 ° to 30 ° corresponding to the variable quantity of angle, the basic domain of Trigger Angle variable quantity dangle be [ 0.1311,0.1311], the angular transformation Liang Wei of correspondence 7.5 ° to 7.5 °; After domain changes, the domain of Trigger Angle angle becomes [0,0.5244* α
angle], the domain of d Trigger Angle variable quantity angle become [ 0.1311* α
dangle, 0.1311* α
dangle].Domain refers to the excursion of input variable;
2) obfuscation of system variable.
Connect switch fuzzy controller designed extra-high voltage converter variation, according to Triangleshape grade of membership function, input variable is carried out to Fuzzy Processing, its membership function is triangle, suc as formula shown in (1 2);
In formula, x is input variable, a, and the dividing value that b is fuzzy rule,
for being under the jurisdiction of a institute degree of membership value,
for being under the jurisdiction of the degree of membership value of b, μ (x) represents the membership function of input x;
For the fuzzy rule value of angle, be respectively negative (NBB) greatly, negative size (NBS), negative in large (NMB), negative medium and small (NMS), negative little large (NSB), negative slight (NBB), zero (ZO), just slight (PSS), just little large (PSB), just medium and small (PMS), center large (PMB), positive size (PBS) and (PBB) just greatly;
The domain of Trigger Angle variable quantity dangle [ 0.1311* α
dangle, 0.1311* α
dangle] between, be 7 rules for the fuzzy rule of dangle, (NM), negative little (NS), zero (ZO), just little (PS), center (PM) and honest (PB) in being respectively and bearing large (NB), bearing;
3) controller control gear adjustment amount through type (1 3) calculates:
Wherein Δ TAP is the gear adjustment amount that change of current variation connects on-off controller, and α is the Trigger Angle value of input,
for tap changer gear adjustment amount corresponding to Trigger Angle variable quantity.
If Trigger Angle is under the jurisdiction of (0,2.5 ° of * α
angle), and the variable quantity of Trigger Angle be under the jurisdiction of ( ∞ ， 7.5 ° of * α
angle), the change of current becomes being adjusted into of shunting switch and reduces by 6 grades, and its gear computational process is Δ TAP=(cos15 ° of cos2.5 °)/0.0125 3=6
If Trigger Angle is under the jurisdiction of (2.5 ° of * α
dangle, 7.5 ° of * α
dangle) and the variable quantity of Trigger Angle be under the jurisdiction of ( ∞ ， 7.5 ° of * α
dangle), the change of current becomes being adjusted into of shunting switch and reduces by 5 grades, Δ TAP=(cos15 ° of cos5 °)/0.0125 3=5.
The inventive method makes up the traditional change of current and becomes the slower shortcoming of regulating the speed when shunting switch control is disturbed by fault, adds and become domain fuzzy control in shunting switch control system, realizes the optimal control of tap_changing.Become domain fuzzy control process and be divided into three phases: the first stage is obfuscation input data; Second stage is by rule base and change domain Fuzzy Logic Reasoning Algorithm, input data to be processed; Phase III is de-fuzzy.
With respect to prior art, tool of the present invention has the following advantages: the present invention realizes the intelligence of exchange rheology shunting switch and controls fast, in the time that a certain valve component of generation tap connects switch fault, replace original shunting switch control system by shelves adjustment, can realize the rapid adjustment of another valve group shunting switch, greatly improve the reliability of DC transmission system.
Brief description of the drawings
Fig. 1 is that the change of current of the present invention becomes shunting switch change domain fuzzy control frame diagram.
Fig. 2 is the domain situation of change of input variable Trigger Angle angle.
The membership function of Fig. 3 (a) input angle.
The membership function of Fig. 3 (b) input dangle.
Fig. 4 is the rectification side Trigger Angle α oscillogram under emulation shunting switch general control.
Fig. 5 is that emulation shunting switch becomes the rectification side Trigger Angle α oscillogram under domain fuzzy control.
Fig. 6 is the low end valve group of the rectification side change of current variation joint gear under emulation shunting switch general control pattern.
Fig. 7 is that emulation shunting switch becomes the low end valve group of the rectification side change of current variation joint gear under domain Fuzzy Control Model.
Embodiment
For understanding better the present invention, below in conjunction with accompanying drawing, the present invention is further illustrated, but embodiments of the present invention are not limit so.
Embodiment
The present embodiment is by PSCAD/EMTDC software emulation platform building ± 800kV extra-high voltage direct-current transmission model and added the fuzzy shunting switch controller of change domain to realize.
Existing change of current variation connects on-off controller lifting shelves by being all to adjust according to one grade, the deviation of no matter rectification side Trigger Angle has much, when lifting shelves, all can only adjust by one grade, and gear of every adjustment all needs the regular hour (operating frequency of shunting switch by second level calculate), add the variable quantity of lifting gear after debate territory fuzzy shunting switch controller to be just not limited to one grade, debate Universe Fuzzy Controller and can determine according to the deviation of rectification side Trigger Angle the adjustment amount of lifting shelves.
Extra-high voltage converter variation of the present invention connects in switch fuzzy control system, adopts the input as fuzzy controller of tap changer control letter Trigger Angle and variable quantity thereof, will export the adjustment amount of shunting switch according to the fuzzy controller of angle and angle variable quantity calculating.
1) determine the domain of Trigger Angle and variable quantity thereof
Domain refers to the excursion of input variable.Contraction-expansion factor can change the size of domain, and change Universe Fuzzy Controller can reach by amendment input variable domain the object of optimal control effect.The design rule of contraction-expansion factor has a lot, adopts a kind of conventional ratio contraction-expansion factor here, suc as formula shown in (1 1).
α
angle＝(sumANGLE/30/DomainANGLE)
0.8
α
dangle＝(sumdANGLE/30/DomaindANGLE)
0.8 (1-1)
Wherein sumANGLE is the adding and value of Trigger Angle angle in cycle of front 30 of the current cycle of operation of record, and DomainANGLE is the thresholding of the change of current change Trigger Angle angle of outside input; SumdANGLE is the adding and value of dangle in front 30 cycles of the current cycle of operation of record, and DomaindANGLE is the thresholding of the variable quantity dangle of the change of current change Trigger Angle of outside input;
As shown in Figure 2; Before domain changes, the basic domain of Trigger Angle angle be [0,0.5244], is 0 ° to 30 ° corresponding to the variable quantity of angle, the basic domain of Trigger Angle variable quantity dangle be [ 0.1311,0.1311], the angular transformation Liang Wei of correspondence 7.5 ° to 7.5 °; After domain changes, the domain of Trigger Angle angle becomes [0,0.5244* α
angle], the domain of d Trigger Angle variable quantity angle become [ 0.1311* α
dangle, 0.1311* α
dangle].Domain refers to the excursion of input variable;
2) obfuscation of system variable.
Connect switch fuzzy controller designed extra-high voltage converter variation, according to Triangleshape grade of membership function, input variable is carried out to Fuzzy Processing, the domain of establishing Trigger Angle angle is [0,0.5244* α
angle], be 0 ° to 30 ° * α corresponding to the variable quantity of angle
angle, the domain of Trigger Angle variable quantity dangle be [ 0.1311* α
dangle, 0.1311* α
dangle], corresponding angular transformation Liang Wei 7.5 ° of * α
dangleto 7.5* α
dangle°, its membership function is triangle, suc as formula shown in (1 2).
In formula, x is input variable, a, and the dividing value that b is fuzzy rule,
for being under the jurisdiction of a institute degree of membership value,
for being under the jurisdiction of the degree of membership value of b, μ (x) represents the membership function of input x.
For the fuzzy rule value of angle, be respectively negative (NBB) greatly, negative size (NBS), negative in large (NMB), negative medium and small (NMS), negative little large (NSB), negative slight (NBB), zero (ZO), just slight (PSS), just little large (PSB), just medium and small (PMS), center large (PMB), positive size (PBS) and (PBB) just greatly; The division of these regular domains is to divide according to the characteristic of system and commissioning experience.The Trigger Angle angle rule domain that connects the employing of switch fuzzy controller the extra-high voltage converter variation of this model is shown in shown in accompanying drawing 3 (a).
Extra-high voltage converter variation connect switch fuzzy controller Trigger Angle variable quantity dangle domain [ 0.1311* α
dangle, 0.1311* α
dangle] between, be 7 rules for the fuzzy rule of dangle, (NM), negative little (NS), zero (ZO), just little (PS), center (PM) and honest (PB) in being respectively and bearing large (NB), bearing; Extra-high voltage converter variation connects the Trigger Angle variable quantity dangle rule domain adopting in switch fuzzy controller and sees shown in accompanying drawing 3 (b).
3) analog controller of the present invention adopts the form of if-then-else.Each and every one input Trigger Angle angle to two above and Trigger Angle variable quantity angle has carried out Fuzzy processing.Need subsequently control law to describe the logic of whole control.
This controller is realized by fuzzy control 13 × 7 rule lists 1, and gear adjustment amount through type in rule list (1 3) calculates:
Wherein Δ TAP is the gear adjustment amount that change of current variation connects on-off controller, and α is the Trigger Angle value of input,
for tap changer gear adjustment amount corresponding to Trigger Angle variable quantity; In table, NB (negative large), NM (in negative), NS (negative little), ZO (zero), PS (just little), PM (center), PB (honest) respectively correspondence fall 3 grades, fall 2 grades, fall 1 grade, do not change, rise 1 grade, rise 2 grades, rise 3 grades.
Table 1 becomes Universe Fuzzy Controller control rule table
| NB | NM | NS | ZO | PS | PM | PB | |
| NBB | ‐6 | ‐5 | ‐4 | ‐3 | ‐2 | ‐1 | ‐1 |
| NBS | ‐6 | ‐5 | ‐4 | ‐3 | ‐2 | ‐1 | ‐1 |
| NMB | ‐5 | ‐4 | ‐3 | ‐2 | ‐1 | ‐1 | ‐1 |
| NMS | ‐5 | ‐4 | ‐3 | ‐2 | ‐1 | ‐1 | ‐1 |
| NSB | ‐4 | ‐3 | ‐2 | ‐1 | ‐1 | ‐1 | ‐1 |
| NSS | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| ZO | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| PSS | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| PSB | 1 | 1 | 1 | 1 | 2 | 3 | 4 |
| PMS | 1 | 1 | 1 | 2 | 3 | 4 | 5 |
| PMB | 1 | 1 | 2 | 3 | 4 | 5 | 6 |
| PBS | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| PBB | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
For Article 1 rule: if input Trigger Angle angle is negative (NBB) greatly, input Trigger Angle variable quantity dangle is negative large (NB), TCC adjustment amount output thisAction is negative (NBBB) greatly so, because Trigger Angle diminishes, in order to make DC line voltage reach set-point, controller is adjusted TCC order, change of current variation joint no-load voltage ratio is diminished and turn down tap gear.Can be described as with fuzzy language:
if angle is NBB，dangle is NB then
thisaction is NBBB
Article 1, rule is corresponding to the first row first row in rule list, if the meaning of representative is under the jurisdiction of (0,2.5 ° of * α for Trigger Angle
angle), and the variable quantity of Trigger Angle be under the jurisdiction of ( ∞ ， 7.5 ° of * α
angle), the change of current becomes being adjusted into of shunting switch and reduces by 6 grades, and its gear computational process is Δ TAP=(cos15 ° of cos2.5 °)/0.0125 3=6
Article 2 rule is corresponding to the first row secondary series in rule list, and the meaning of representative is, if Trigger Angle is under the jurisdiction of (2.5 ° of * α
dangle, 7.5 ° of * α
dangle) and the variable quantity of Trigger Angle be under the jurisdiction of ( ∞ ， 7.5 ° of * α
dangle), the change of current becomes being adjusted into of shunting switch and reduces by 5 grades, Δ TAP=(cos15 ° of cos5 °)/0.0125 3=5, and the compute classes of Else Rule is seemingly.
Fuzzy Controller Parameters arranges
Extra-high voltage converter variation under PSCAD custom block environment connects switch fuzzy controller profile as shown in Figure 4.Wherein input variable angle is the Trigger Angle α detecting in real time, and input variable tccin is that the change of current becomes shunting switch gear signal, and output tccout is that the new change of current of calculating through fuzzy controller becomes shunting switch gear signal.
Being positioned at the variable domainangle of picture upper area and the domainchange of domaindangle and picture lower zone is to control in real time for fuzzy controller external variable domainangle the external parameter that angle thresholding changes, domaindangle controls the external parameter that dangle thresholding changes in real time, and domainchange is the external parameter of controlling in real time output variable change.The adjusting of these external parameters can be controlled the control effect of fuzzy controller in real time, and can revise online.
The present invention realizes based on becoming Universe Fuzzy Controller.Whole control method is divided into three phases, and the first stage is obfuscation input data, i.e. Trigger Angle and converted quantity thereof; Second stage is to determine the domain of Trigger Angle and variable quantity thereof, output gear; Phase III is to processing and obtain exporting gear through domain change triggers angle and variable quantity thereof by rule base and Fuzzy Logic Reasoning Algorithm; Fourth stage is that output gear is carried out to de-fuzzy.Its control flow as shown in Figure 1, specifically comprises the following steps:
Step 1, definite target of controlling, i.e. when change of current change shunting switch breaks down, control system can be adjusted to accurate change of current change tap changer gear rapidly, makes the Trigger Angle of rectification side remain on system even running between 12.5 ° to 17.5 °.
Step 2, change of current variation connect on-off control system be designed to Shuan Shu Ru single output system, the input variable of system is in the time that a control cycle starts, to gather the change of current to be controlled to become real-time running data, first input variable of control system is α, represent Trigger Angle, second input variable is the variable quantity of Trigger Angle between two control cycles, these two inputs are determined output by the fuzzy reasoning that becomes domain Fuzzy control system, and the output variable of control system is the gear input of change of current variation joint.
Step 3, utilize trigonometric function to carry out obfuscation to Trigger Angle α and variable quantity thereof
Step 4 is determined the variable quantity of Trigger Angle, Trigger Angle, the domain of output gear according to the variation of the α of Trigger Angle.
Step 5, the basic functional principle that connects on-off control system according to change of current variation are determined and are become domain fuzzy control rule.
Step 6, definite change domain be fuzzy is actually a Multiple Fuzzy conditional statement, and it can be with represent this fuzzy relation with matrix form.
The output controlled quentity controlled variable of step 7, fuzzy controller is to be tried to achieve by fuzzy filtering rule by the input variable and the fuzzy relation that change through domain.
Step 8, in the time that upper once control cycle arrives, return to step 1.
By becoming domain fuzzy control, when situation about breaking down causes in the serious out-of-limit situation of rectification side Trigger Angle, the change of current becomes tap changer gear can realize adjustment fast.
Emulation experiment
Emulation operating mode is bipolar release 5000MW, and the high end valve group of rectification side change of current variation joint gear, because failure cause cannot be adjusted, is fixed on 5 grades.
From Fig. 4,5 operation oscillograms, can find out, the high end valve group of rectification side change of current variation joint gear cannot be adjusted because of failure cause, be fixed on 5 grades of operating conditions in situation steady, reach respectively ± 800kV of bipolar voltage, direct current is steady, rectification side Trigger Angle is 14.75 ° of left and right, and inversion side extinguish angle is 19.7 ° of left and right, and the high end valve group of rectification side change of current variation joint gear is at 5 grades.
Under contrast same case, do not adopt the simulation waveform figure that becomes domain fuzzy control, can be found out by Fig. 6,7, in the situation that not adopting change Universe Fuzzy Controller, rectification side Trigger Angle will reach 14 ° through the time of approximately 5 seconds, and it is faster and better in the situation of employing change Universe Fuzzy Controller, to control effect.
Claims (3)
1. one kind connects method of controlling switch based on becoming the fuzzy change of current variation of domain, it is characterized in that, change of current variation connects method of controlling switch and connects on-off control system realization by change of current variation, described change of current variation connect on-off control system be Shuan Shu Ru single output system, adopt two inputs as fuzzy controller of tap changer control letter Trigger Angle and variable quantity thereof; Two inputs are determined output by the fuzzy reasoning that becomes domain Fuzzy control system; Comprise the steps:
1) determine the domain of Trigger Angle and variable quantity thereof
Domain refers to the excursion of input variable; Contraction-expansion factor is for changing the size of domain; The design of contraction-expansion factor; Suc as formula shown in (1 1);
α
angle＝(sumANGLE/30/DomainANGLE)
0.8
α
dangle＝(sumdANGLE/30/DomaindANGLE)
0.8 (1-1)
Wherein sumANGLE is the adding and value of Trigger Angle angle in cycle of front 30 of the current cycle of operation of record, and DomainANGLE is the thresholding of the change of current change Trigger Angle angle of outside input; SumdANGLE is the adding and value of dangle in front 30 cycles of the current cycle of operation of record, and DomaindANGLE is the thresholding of the variable quantity dangle of the change of current change Trigger Angle of outside input;
Before domain changes, the basic domain of Trigger Angle angle be [0,0.5244], is 0 ° to 30 ° corresponding to the variable quantity of angle, the basic domain of Trigger Angle variable quantity dangle be [ 0.1311,0.1311], the angular transformation Liang Wei of correspondence 7.5 ° to 7.5 °; After domain changes, the domain of Trigger Angle angle becomes [0,0.5244* α
angle], the domain of d Trigger Angle variable quantity angle become [ 0.1311* α
dangle, 0.1311* α
dangle].Domain refers to the excursion of input variable;
2) obfuscation of system variable.
Connect switch fuzzy controller designed extra-high voltage converter variation, according to Triangleshape grade of membership function, input variable is carried out to Fuzzy Processing, its membership function is triangle, suc as formula shown in (1 2);
In formula, x is input variable, a, and the dividing value that b is fuzzy rule,
for being under the jurisdiction of a institute degree of membership value,
for being under the jurisdiction of the degree of membership value of b, μ (x) represents the membership function of input x;
For the fuzzy rule value of angle, be respectively negative (NBB) greatly, negative size (NBS), negative in large (NMB), negative medium and small (NMS), negative little large (NSB), negative slight (NBB), zero (ZO), just slight (PSS), just little large (PSB), just medium and small (PMS), center large (PMB), positive size (PBS) and (PBB) just greatly;
The domain of Trigger Angle variable quantity dangle [ 0.1311* α
dangle, 0.1311* α
dangle] between, be 7 rules for the fuzzy rule of dangle, (NM), negative little (NS), zero (ZO), just little (PS), center (PM) and honest (PB) in being respectively and bearing large (NB), bearing;
3) controller control gear adjustment amount through type (1 3) calculates:
Wherein Δ TAP is the gear adjustment amount that change of current variation connects on-off controller, and α is the Trigger Angle value of input,
for tap changer gear adjustment amount corresponding to Trigger Angle variable quantity.
2. the change of current variation that change domain according to claim 1 is fuzzy connects method of controlling switch, it is characterized in that, if Trigger Angle is under the jurisdiction of (0,2.5 ° of * α
angle), and the variable quantity of Trigger Angle be under the jurisdiction of ( ∞ ， 7.5 ° of * α
angle), the change of current becomes being adjusted into of shunting switch and reduces by 6 grades, and its gear computational process is Δ TAP=(cos15 ° of cos2.5 °)/0.0125 3=6.
3. the change of current variation that change domain according to claim 1 is fuzzy connects method of controlling switch, it is characterized in that, if Trigger Angle is under the jurisdiction of (2.5 ° of * α
dangle, 7.5 ° of * α
dangle) and the variable quantity of Trigger Angle be under the jurisdiction of ( ∞ ， 7.5 ° of * α
dangle), the change of current becomes being adjusted into of shunting switch and reduces by 5 grades, Δ TAP=(cos15 ° of cos5 °)/0.0125 3=5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410396104.9A CN104201955A (en) | 2014-08-12 | 2014-08-12 | Ultra high voltage conversion transformer tap switch control method based on variable discourse domain fuzzy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410396104.9A CN104201955A (en) | 2014-08-12 | 2014-08-12 | Ultra high voltage conversion transformer tap switch control method based on variable discourse domain fuzzy |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104201955A true CN104201955A (en) | 2014-12-10 |
Family
ID=52087199
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410396104.9A Pending CN104201955A (en) | 2014-08-12 | 2014-08-12 | Ultra high voltage conversion transformer tap switch control method based on variable discourse domain fuzzy |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104201955A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105652667A (en) * | 2016-03-31 | 2016-06-08 | 西南石油大学 | High-precision path tracking control method for uncertain-model double-joint mechanical arms |
| CN110572091A (en) * | 2019-09-16 | 2019-12-13 | 湖北文理学院 | optimized sensorless control method for permanent magnet synchronous motor |
| CN112332438A (en) * | 2020-11-05 | 2021-02-05 | 山东电力研究院 | High-voltage direct-current power transmission dynamic control method and system for fixed tap switch gear |
| CN112968459A (en) * | 2021-02-05 | 2021-06-15 | 国网山西省电力公司检修分公司 | Tap control method based on fixed deviation alternate control of homopolar commutation variable tap |
| CN113036796A (en) * | 2021-03-10 | 2021-06-25 | 广东电网有限责任公司 | Method and system for optimizing direct current restart control parameters |
| CN114089795A (en) * | 2021-11-22 | 2022-02-25 | 江苏科技大学 | Fuzzy neural network temperature control system and method based on event triggering |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2166659A2 (en) * | 2008-09-19 | 2010-03-24 | Power Integrations, Inc. | Method and apparatus to select a parameter/mode based on a measurement dureing an initialization period |
| CN101957872A (en) * | 2010-07-09 | 2011-01-26 | 南方电网技术研究中心 | Hybrid real-time simulation method for alternating current-direct current power system |
| CN102621413A (en) * | 2012-03-13 | 2012-08-01 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Filed maintenance strategy optimizing determination method for converter transformer |
| CN103310124A (en) * | 2013-07-12 | 2013-09-18 | 华北电力大学 | Modeling method and device for optimal power flow model |
| CN103401501A (en) * | 2013-04-15 | 2013-11-20 | 湖南大学 | Permanent magnet synchronous motor (PMSM) servo system control method based on fuzzy and active disturbance rejection control |
| CN103425873A (en) * | 2013-07-23 | 2013-12-04 | 北京航空航天大学 | Method for calculating membership degree in spacecraft health assessment based on rate model reliability theory |
-
2014
- 2014-08-12 CN CN201410396104.9A patent/CN104201955A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2166659A2 (en) * | 2008-09-19 | 2010-03-24 | Power Integrations, Inc. | Method and apparatus to select a parameter/mode based on a measurement dureing an initialization period |
| CN101957872A (en) * | 2010-07-09 | 2011-01-26 | 南方电网技术研究中心 | Hybrid real-time simulation method for alternating current-direct current power system |
| CN102621413A (en) * | 2012-03-13 | 2012-08-01 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Filed maintenance strategy optimizing determination method for converter transformer |
| CN103401501A (en) * | 2013-04-15 | 2013-11-20 | 湖南大学 | Permanent magnet synchronous motor (PMSM) servo system control method based on fuzzy and active disturbance rejection control |
| CN103310124A (en) * | 2013-07-12 | 2013-09-18 | 华北电力大学 | Modeling method and device for optimal power flow model |
| CN103425873A (en) * | 2013-07-23 | 2013-12-04 | 北京航空航天大学 | Method for calculating membership degree in spacecraft health assessment based on rate model reliability theory |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105652667A (en) * | 2016-03-31 | 2016-06-08 | 西南石油大学 | High-precision path tracking control method for uncertain-model double-joint mechanical arms |
| CN110572091A (en) * | 2019-09-16 | 2019-12-13 | 湖北文理学院 | optimized sensorless control method for permanent magnet synchronous motor |
| CN110572091B (en) * | 2019-09-16 | 2021-05-18 | 湖北文理学院 | Optimized sensorless control method for permanent magnet synchronous motor |
| CN112332438A (en) * | 2020-11-05 | 2021-02-05 | 山东电力研究院 | High-voltage direct-current power transmission dynamic control method and system for fixed tap switch gear |
| CN112968459A (en) * | 2021-02-05 | 2021-06-15 | 国网山西省电力公司检修分公司 | Tap control method based on fixed deviation alternate control of homopolar commutation variable tap |
| CN113036796A (en) * | 2021-03-10 | 2021-06-25 | 广东电网有限责任公司 | Method and system for optimizing direct current restart control parameters |
| CN114089795A (en) * | 2021-11-22 | 2022-02-25 | 江苏科技大学 | Fuzzy neural network temperature control system and method based on event triggering |
| CN114089795B (en) * | 2021-11-22 | 2022-08-16 | 江苏科技大学 | Fuzzy neural network temperature control system and method based on event triggering |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104201955A (en) | Ultra high voltage conversion transformer tap switch control method based on variable discourse domain fuzzy | |
| CN103384068B (en) | Transient Security for Power Systems stablizes emergency control strategy of on-line optimized calculation method | |
| CN103378601A (en) | Primary frequency modulation method and device based on bang-bang control | |
| CN105429170B (en) | A kind of microgrid inverter droop control method based on adjustable virtual impedance | |
| CN105180135A (en) | Unit plant coordination control method and system | |
| CN105932706A (en) | Coordinated control method for improving hybrid back-to-back DC system | |
| CN106712552A (en) | Control method for VIENNA rectifier of aviation multi-electric engine | |
| Jain et al. | Three area power system load frequency control using fuzzy logic controller | |
| CN104637557A (en) | Feedforward-feedback composite control method and system for pressure and liquid level of nuclear power station voltage stabilizer | |
| CN105515010A (en) | Cooperative game-based secondary voltage coordination control method and system | |
| CN107947185A (en) | A kind of power grid automatic voltage control method and system based on multiple-objection optimization | |
| US10193342B2 (en) | Method and device for controlling power generators of a subgrid within an interconnected grid | |
| CN202663351U (en) | Servo motor rotational speed control system based on fuzzy self-adaptive proportional-integral-derivative (PID) controllers | |
| Eriksson | Current sharing in multiterminal DC grids—The analytical approach | |
| CN103378784A (en) | Load command dynamic compensation method and system | |
| CN108988399B (en) | Energy storage fast frequency modulation method based on active imbalance distance | |
| Yilmaz et al. | A smart grid intelligent control framework | |
| CN104090589A (en) | Deoxygenator water level whole-course control system and method with tracking under condensate pump frequency conversion condition | |
| De Li et al. | A Switching-inverter power controller based on fuzzy adaptive PID | |
| CN103855716A (en) | Intelligent FLC-PID mixed STATCOM control method | |
| CN111711366A (en) | Fuzzy control method of double-active full-bridge DC-DC converter | |
| CN112596376A (en) | Synchronous phase modulator excitation system optimization control method based on variable-discourse-domain fuzzy self-adaptive PID control | |
| CN105356475B (en) | A kind of AGC based on same time scale and AVC control method for coordinating | |
| Aziz et al. | Intelligent frequency regulation in the wind integrated control area | |
| Biswas et al. | Decentralized PID-Based Sliding Mode Load Frequency Control Scheme in Power Systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20141210 |