CN108009375B - Control signal characterization method, PWM (pulse-width modulation) modulator model, switching device model and electromagnetic transient simulation method - Google Patents
Control signal characterization method, PWM (pulse-width modulation) modulator model, switching device model and electromagnetic transient simulation method Download PDFInfo
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Abstract
The invention discloses a control signal characterization method of a PWM gate pole control system, a PWM modulator model, a controlled power electronic switching device model and a high-precision PWM converter electromagnetic transient simulation method based on the method, which can accurately reflect the occurrence time of an event, can obtain and output the accurate change time of the output logic quantity of the PWM modulator on the premise of not reducing the use efficiency of a memory, and can realize the accurate simulation of the PWM converter by matching with subsequent various interpolation and integration methods. The control signal characterization method disclosed by the invention can simultaneously express the PWM control logic and the possible logic accurate change moment, simultaneously optimizes the memory use and numerical calculation efficiency, and improves the reliability of the realization of a simulation algorithm program. The invention is highly compatible with the electromagnetic transient simulation method based on fixed step length, such as EMTP, and the like, and can be conveniently applied to the simulation software based on the electromagnetic transient simulation method.
Description
Technical Field
The invention relates to a control signal characterization method of a PWM gate control system, a PWM modulator model, a controlled power electronic switch device model and a high-precision PWM converter electromagnetic transient simulation method based on the control signal characterization method, and belongs to the power system simulation technology.
Background
Electric power systems increasingly show the trend of power electronization, technologies such as flexible direct current transmission, flexible alternating current transmission, distributed new energy power generation and the like are rapidly developed, and the application of power electronic equipment in the electric power systems is increasingly wide. The power electronic device is generally composed of a PWM converter using a PWM (Pulse Width Modulation) technique. The PWM modulator in the PWM converter is used as an interface of a converter control subsystem and an electric subsystem, not only presents a continuous change characteristic, but also has a discrete event characteristic, and the characteristic that the PWM modulator is difficult to accurately simulate the converter brings huge challenges to electromagnetic transient simulation of a modern electric power system.
The PWM modulator generally adopts a natural sampling or regular sampling manner and modulates with a triangular wave or a sawtooth wave as a carrier wave, and outputs a logic "1" when an input modulation wave is equal to or greater than the carrier wave, and otherwise outputs a logic "0". The most widely used electromagnetic Transient simulation method for power systems is the EMTP (Electro-Magnetic Transient Program) method proposed by the professor Dommel. Since the EMTP method is based on a simulation calculation with a fixed integration step size, the output logic of the PWM modulator in the conventional EMTP method can be changed only at a full step size. However, in practice, the change of the relationship between the modulation wave and the carrier wave often occurs at a non-integral step time, so that the conventional EMTP method causes information loss at the accurate time when the PWM output signal changes, and delays the result generated by the change to be reflected in the simulation result at the next integral step time, which generates an error and even obtains an erroneous result.
In view of the above problems, much research is only focused on how to obtain a more accurate simulation result and suppress a possible numerical oscillation phenomenon by using various interpolation and integration methods after knowing an accurate time when a PWM output signal changes, whereas a key phenomenon that a conventional EMTP method loses the accurate time when the PWM output signal changes is often ignored. And only few solutions have the problems of poorer precision or lower memory use efficiency. The following is a description of two existing solutions and their advantages and disadvantages.
The first scheme is as follows: do V Q, McCallum D, Giroux P, et al.A. back-forward-polarization technique for a prediction modeling of power electronics in HYPERSISM [ C ]. Proc.int.Conf.Power System transitions, Rio de Janeiro, Brazil,2001. A modeling method of a PWM modulator is proposed, which adds a calculation function of the accurate time when the output logic quantity changes and adds a double type output variable for expression in a PWM modulator model, and correspondingly adds a double type input variable on a model of a controlled power electronic switching device such as an IGBT, a MOSFET, a GTO and the like matched with the PWM modulator model.
The advantages are that: the method can enable the PWM modulator model to obtain and output the accurate change moment of the logic quantity, and can realize more accurate simulation by matching with subsequent various interpolation and integration methods.
The disadvantages are as follows: a double type variable is added to models of a PWM modulator and power electronic switching devices such as an IGBT, an MOSFET and a GTO, and the memory burden of simulation software is increased.
Scheme II: chinese patent ZL201310119795.3 provides an improved EMTP algorithm suitable for a PWM converter average model, the algorithm omits a complex switch processing submodule in a traditional EMTP method, and 2 submodules are added for predicting simulation errors caused by inaccuracy of parameters and correction parameters of a segmented average model.
The advantages are that: due to the adoption of the average model, the simulation speed of the PWM converter is greatly improved.
The disadvantages are as follows: (1) by adopting the average model, the change characteristics of the model on the microscopic time scale are lost, and the simulation result is not accurate enough; (2) the soft switching working characteristics of some PWM converters adopting soft switching technology cannot be reflected; (3) the prediction and correction module may increase the computational effort of the simulation.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides a control signal characterization method of a PWM gate control system, a PWM modulator model based on the method, a controlled power electronic switching device model based on the method and a high-precision PWM converter electromagnetic transient simulation method, which can accurately reflect the occurrence time of an event, can obtain and output the accurate change time of the output logic quantity of the PWM modulator on the premise of not reducing the use efficiency of a memory, and can realize the accurate simulation of the PWM converter by matching with various subsequent interpolation and integration methods.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
a control signal characterization method of a PWM gate control system is characterized in that the control signal is a digital variable, the value range and the memory occupation condition of the control signal are set to be completely the same as double-precision floating point type data, logic '1' and logic '0' can be expressed, important information of the accurate change moment of the logic quantity can be provided, and the control signal is compatible with an electromagnetic transient simulation algorithm based on a fixed step length; recording the current simulation time as tkThe simulation time of the previous fixed step is tk-1According to tkControl signal y of timekThe value of (a) is characterized as the following event extension logic variables:
when ykE (1.0, infinity), the control signal is set at t e (t)k-1,tk]The event extension logic variable in the time range is characterized as 1;
when yk∈(0.0,1.0]Then, the control signal is set at t e (t)k-1,tk]The event expansion logic variable in the time range is characterized by rising edge jump of 0 → 1, and the jump time is ts＝y·tk+(1-y)·tk-1；
③ when ykWhen the value is 0.0, the control signal t epsilon (t) is indicatedk-1,tk]No event expansion logic variable changes in the time range, and the event expansion logic variable at the last step ending moment is maintained;
when ykE [ -1.0,0.0), the control signal is set at t ∈ (t)k-1,tk]The event expansion logic variable in the time range is characterized by falling edge jump of 0 → 1, and the jump time is ts＝-y·tk+(1+y)·tk-1；
Y iskE (-infinity, -1.0), the control signal is set at t e (t)k-1,tk]The event spread logic variable in the time range is characterized as 0.
A PWM modulator model based on the above control signal characterization method, the PWM modulator model comprising an input terminal and an output terminal; the input terminal is used for inputting a modulated wave signal u; the modulated wave signal u is compared with the carrier wave signal C to generate PWM control signal y; the output terminal is connected with the controlled power electronic switching device model and used for outputting a PWM control signal y; recording the current simulation time as tk，tkThe input and output of the time are ukAnd ykThe simulation time of the previous fixed step is tk-1，tk-1The input and output of the time are uk-1And yk-1Carrier period is T, then TkPWM control signal y of the momentkThe updating process is as follows:
(a) calculating tkTime offset to of time instants within a carrier periodff＝tk-floor(tk/T), where floor (. cndot.) denotes rounding down; entering step (b);
(b) according to the type of carrier and toffCalculating tkCarrier signal value C of timek(ii) a Entering step (c);
(c) according to CkAnd ukCalculating the magnitude relation of (a) to (b)k：
(c1) If uk＞CkAnd u isk-1≥Ck-1Indicating t e (t)k-1,tk]The modulated waves are all larger than the carrier wave in the time range, and are set to yk> 1.0, e.g. yk＝2.0；
(c2) If uk＞CkAnd u isk-1＜Ck-1Indicating t e (t)k-1,tk]The magnitude relation between the modulation wave and the carrier wave is changed within the time range, so that y isk＝(Ck-1-uk-1)/(uk-Ck+Ck-1-uk-1)；
(c3) If uk＝CkAnd u isk-1＞Ck-1Indicating t e (t)k-1,tk) The modulated waves are all larger than the carrier wave in the time range, tkThe time modulation wave and the carrier wave are exactly equal to each other to make yk＝-1.0；
(c4) If uk＝CkAnd u isk-1＝Ck-1In the abnormal case, let yk＝yk-1；
(c5) If uk＝CkAnd u isk-1＜Ck-1Indicating t e (t)k-1,tk) The modulated waves are all smaller than the carrier wave in the time range, tkThe time modulation wave and the carrier wave are exactly equal to each other to make yk＝1.0；
(c6) If uk＜CkAnd u isk-1＞Ck-1Indicating t e (t)k-1,tk]The magnitude relation between the modulation wave and the carrier wave is changed within the time range, so that y isk＝-(uk-1-Ck-1)/(Ck-uk+uk-1-Ck-1)；
(c7) If uk＜CkAnd u isk-1≤Ck-1Indicating t e (t)k-1,tk]The modulated waves are all smaller than the carrier wave in the time range, and the carrier wave is set to yk< -1.0, e.g. yk＝-2.0。
The carrier wave can be triangular wave, forward sawtooth wave or backward sawtooth wave, and the carrier wave period and the upper and lower limit amplitude values can be set.
A controlled power electronic switching device model based on the control signal characterization method is connected with a PWM (pulse-width modulation) modulator model, receives a PWM control signal y output by the PWM modulator model, and performs interpolation or integral calculation according to a logical value and a jump moment of the PWM control signal y to obtain a subsequent switching action instruction of the controlled power electronic switching device model so as to realize reinitialization and inhibit numerical oscillation; the controlled power electronic switching device model can obtain the accurate change time of the PWM modulator model by reading and processing the PWM control signal output by the PWM modulator model at each fixed simulation step time, so as to carry out subsequent switching action processing by using various interpolation and integration methods. Recording the current simulation time as tkThe simulation time of the previous fixed step is tk-1According to tkPWM control signal y of the momentkJudging the switching action state of the controlled power electronic switching device model:
if ykE (1.0, + ∞), indicating t e (t)k-1,tk]The switch action does not exist in the time range and is in an on state;
if yk∈(0.0,1.0]Indicating t e (t)k-1,tk]Is changed from off to on within a time range, and the change moment is ts＝yk·tk+(1-yk)·tk-1；
(if y)k0.0, indicating t e (t)k-1,tk]No switching action exists within the time range;
fourthly if ykE [ -1.0,0.0), indicating t ∈ (t)k-1,tk]Is changed from on to off within a time range, and the change moment is ts＝-yk·tk+(1+yk)·tk-1；
U if ykE (- ∞, -1.0), indicating t e (t)k-1,tk]The switch is not operated in the time range and is in an off state.
The controlled power electronic switching device may be an SCR, an IGBT, a MOSFET, a GTO or an ideal switch.
A high-precision PWM converter electromagnetic transient simulation method based on the control signal characterization method comprises the following steps:
(1) simulation initialization, including sequencing of control submodels, initialization of an electrical equation matrix and state quantities, and initial simulation time setting;
(2) performing one-step simulation calculation on all control subsystem models to obtain modulation wave signals;
(3) performing one-step simulation calculation on all PWM modulator models to obtain logic values and jump time of PWM control signals;
(4) performing interpolation or integral calculation according to the logic value and the jumping moment of the PWM control signal to obtain a subsequent switching action instruction of the controlled power electronic switching device model so as to reinitialize and inhibit numerical oscillation and finally obtain a more accurate simulation result of the PWM converter;
(5) ending the simulation calculation of the current step length, advancing the simulation time by one step and judging whether the simulation is ended: if yes, ending; otherwise, returning to the step (2).
Has the advantages that: compared with the prior art, the control signal characterization method of the PWM gate control system, the PWM modulator model based on the method, the controlled power electronic switching device model based on the method and the high-precision PWM converter electromagnetic transient simulation method have the following advantages: 1. the control signal characterization method adopted by the invention can express the PWM control logic and the accurate change moment thereof, and establishes necessary effective premise for realizing more accurate PWM converter simulation by utilizing various interpolation and integration methods in the follow-up process; 2. on the basis of realizing high-precision modeling simulation of the PWM converter, the invention optimizes the memory use and the numerical calculation efficiency, realizes logical negation operation by multiplying the value of the event extension logical type variable by a negative sign, and improves the reliability of realizing a simulation algorithm program; 3. the invention has little change to the models of the prior PWM modulator and the controlled power electronic switch device, is highly compatible with the EMTP and other electromagnetic transient simulation methods based on fixed step length, and can be conveniently applied to the simulation software based on the electromagnetic transient simulation method.
Drawings
FIG. 1 is a flow chart of an implementation of a high-precision PWM converter electromagnetic transient simulation method;
FIG. 2 is a schematic diagram of the variable distribution of the PWM control signal and the expression meaning thereof according to the present invention;
FIG. 3 is a schematic diagram of a PWM modulation model according to the present invention;
fig. 4 is a model schematic diagram of a controlled power electronic switching device of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
A method for characterizing control signal of PWM gate pole control system includes setting value range and internal memory occupation of digital variable to be identical to double-precision floating-point data and recording current simulation time as tkThe simulation time of the previous fixed step is tk-1According to tkControl signal y of timekThe value of (a) is characterized as the following event extension logic variables:
when ykE (1.0, infinity), the control signal is set at t e (t)k-1,tk]Event extension over timeThe spread logic variable is characterized as 1;
when yk∈(0.0,1.0]Then, the control signal is set at t e (t)k-1,tk]The event expansion logic variable in the time range is characterized by rising edge jump of 0 → 1, and the jump time is ts＝y·tk+(1-y)·tk-1；
③ when ykWhen the value is 0.0, the control signal t epsilon (t) is indicatedk-1,tk]No event expansion logic variable changes in the time range, and the event expansion logic variable at the last step ending moment is maintained;
when ykE [ -1.0,0.0), the control signal is set at t ∈ (t)k-1,tk]The event expansion logic variable in the time range is characterized by falling edge jump of 0 → 1, and the jump time is ts＝-y·tk+(1+y)·tk-1；
Y iskE (-infinity, -1.0), the control signal is set at t e (t)k-1,tk]The event spread logic variable in the time range is characterized as 0.
By adopting the control signal characterization method, the logic of the PWM gate control system can be expressed, and the accurate moment of the logic change can be effectively expressed at the same time. Common logical negation operation on the event extension logical variable can be realized by simply multiplying a negative sign, so that the calculation efficiency is improved, and the memory consumption is not additionally increased. And the accurate simulation of the PWM converter can be realized by matching with various subsequent interpolation and integration methods.
Fig. 1 is a flow chart of a high-precision PWM converter electromagnetic transient simulation method, in which a dotted frame is an outer part of a conventional power system electromagnetic transient simulation flow, and a dotted frame is an inner part of the present invention. The electromagnetic transient simulation of the power system with the PWM converter mainly comprises the following procedures: after initialization is finished, performing simulation calculation of a one-step control subsystem to obtain a modulation wave signal, then performing simulation of a one-step PWM modulator, then judging whether control logic jump exists in the current step length and performing corresponding processing, and finally advancing the simulation time by one step until the simulation is finished. Let current simulation time be tkWhen the former fixed step length is simulatedIs carved as tk-1The method specifically comprises the following steps:
the method comprises the steps of firstly, simulation initialization, including control submodel sequencing, electrical equation matrix and state quantity initialization, and initial simulation time setting.
And step two, performing one-step simulation calculation on all the control subsystem models to obtain a modulation wave signal u.
Step three, performing one-step simulation calculation on all PWM modulator models to obtain logic values and jump time of PWM control signals; the PWM control signal is characterized by the above method, and the distribution of the event spread logic variable and the logic variation thereof are specifically shown in fig. 2.
The PWM modulator model is shown in fig. 3, and includes an input terminal and an output terminal; the input terminal is used for inputting a modulated wave signal u; after the modulated wave signal u is compared with the carrier signal C, a PWM control signal y is generated; the output terminal is connected with the controlled power electronic switching device model and used for outputting a PWM control signal y; recording the current simulation time as tk，tkThe input and output of the time are ukAnd ykThe simulation time of the previous fixed step is tk-1，tk-1The input and output of the time are uk-1And yk-1Carrier period is T, then TkPWM control signal y of the momentkThe updating process is as follows:
(a) calculating tkTime offset to of time instants within a carrier periodff＝tk-floor(tk/T), where floor (. cndot.) denotes rounding down; entering step (b);
(b) according to the type of carrier and toffCalculating tkCarrier signal value C of timek(ii) a Entering step (c);
(c) according to CkAnd ukCalculating the magnitude relation of (a) to (b)k：
(c1) If uk＞CkAnd u isk-1≥Ck-1Indicating t e (t)k-1,tk]The modulated waves are all larger than the carrier wave in the time range, and are set to yk＞1.0；
(c2) If uk＞CkAnd u isk-1＜Ck-1Indicating t e (t)k-1,tk]The magnitude relation between the modulation wave and the carrier wave is changed within the time range, so that y isk＝(Ck-1-uk-1)/(uk-Ck+Ck-1-uk-1)；
(c3) If uk＝CkAnd u isk-1＞Ck-1Indicating t e (t)k-1,tk) The modulated waves are all larger than the carrier wave in the time range, tkThe time modulation wave and the carrier wave are exactly equal to each other to make yk＝-1.0；
(c4) If uk＝CkAnd u isk-1＝Ck-1In the abnormal case, let yk＝yk-1；
(c5) If uk＝CkAnd u isk-1＜Ck-1Indicating t e (t)k-1,tk) The modulated waves are all smaller than the carrier wave in the time range, tkThe time modulation wave and the carrier wave are exactly equal to each other to make yk＝1.0；
(c6) If uk＜CkAnd u isk-1＞Ck-1Indicating t e (t)k-1,tk]The magnitude relation between the modulation wave and the carrier wave is changed within the time range, so that y isk＝-(uk-1-Ck-1)/(Ck-uk+uk-1-Ck-1)；
(c7) If uk＜CkAnd u isk-1≤Ck-1Indicating t e (t)k-1,tk]The modulated waves are all smaller than the carrier wave in the time range, and the carrier wave is set to yk< -1.0, e.g. yk＝-2.0。
And fourthly, performing interpolation or integral calculation according to the logic value and the jumping moment of the PWM control signal to obtain a subsequent switching action instruction of the controlled power electronic switching device model so as to reinitialize and inhibit numerical oscillation, and finally obtaining a more accurate simulation result of the PWM converter.
The model of the controlled power electronic switching device is shown in fig. 4, which is associated with a PWM modulatorThe models are connected, the PWM control signal y output by the PWM modulator model is received, interpolation or integral calculation is carried out according to the logical value and the jumping moment of the PWM control signal y, and a subsequent switch action instruction of the PWM modulator model is obtained, so that reinitialization is realized and numerical oscillation is restrained; recording the current simulation time as tkThe simulation time of the previous fixed step is tk-1According to tkPWM control signal y of the momentkJudging the switching action state of the controlled power electronic switching device model:
if ykE (1.0, + ∞), indicating t e (t)k-1,tk]The switch action does not exist in the time range and is in an on state;
if yk∈(0.0,1.0]Indicating t e (t)k-1,tk]Is changed from off to on within a time range, and the change moment is ts＝yk·tk+(1-yk)·tk-1；
(if y)k0.0, indicating t e (t)k-1,tk]No switching action exists within the time range;
fourthly if ykE [ -1.0,0.0), indicating t ∈ (t)k-1,tk]Is changed from on to off within a time range, and the change moment is ts＝-yk·tk+(1+yk)·tk-1；
U if ykE (- ∞, -1.0), indicating t e (t)k-1,tk]The switch is not operated in the time range and is in an off state.
Step five, finishing the simulation calculation of the current step length, advancing the simulation time by one step and judging whether the simulation is finished: if yes, ending; otherwise, returning to the step two.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (6)
1. Control of PWM gate control systemThe system signal characterization method is characterized by comprising the following steps: the control signal is a digital variable, the value range and the memory occupation condition of the control signal are set to be completely the same as the double-precision floating point type data, and the current simulation time is recorded as tkThe simulation time of the previous fixed step is tk-1According to tkControl signal y of timekThe value of (a) is characterized as the following event extension logic variables:
when ykE (1.0, infinity), the control signal is set at t e (t)k-1,tk]The event extension logic variable in the time range is characterized as 1;
when yk∈(0.0,1.0]Then, the control signal is set at t e (t)k-1,tk]The event expansion logic variable in the time range is characterized by rising edge jump of 0 → 1, and the jump time is ts＝yk·tk+(1-yk)·tk-1；
③ when ykWhen the value is 0.0, the control signal t epsilon (t) is indicatedk-1,tk]No event expansion logic variable changes in the time range, and the event expansion logic variable at the last step ending moment is maintained;
when ykE [ -1.0,0.0), the control signal is set at t ∈ (t)k-1,tk]The event expansion logic variable in the time range is characterized by falling edge jump of 0 → 1, and the jump time is ts＝-yk·tk+(1+yk)·tk-1；
Y iskE (-infinity, -1.0), the control signal is set at t e (t)k-1,tk]The event spread logic variable in the time range is characterized as 0.
2. A PWM modulator model apparatus based on the control signal characterization method according to claim 1, characterized in that: the PWM modulator model apparatus includes an input terminal and an output terminal; the input terminal is used for inputting a modulated wave signal u; after the modulated wave signal u is compared with the carrier signal C, a PWM control signal y is generated; the output terminal is connected with the controlled power electronic switching device model device and is used for outputting a PWM control signal y; current recorderSimulation time tk，tkThe input and output of the time are ukAnd ykThe simulation time of the previous fixed step is tk-1，tk-1The input and output of the time are uk-1And yk-1Carrier period is T, then TkPWM control signal y of the momentkThe updating process is as follows:
(a) calculating tkTime offset to of time instants within a carrier periodff＝tk-floor(tk/T), where floor (. cndot.) denotes rounding down; entering step (b);
(b) according to the type of carrier and toffCalculating tkCarrier signal value C of timek(ii) a Entering step (c);
(c) according to CkAnd ukCalculating the magnitude relation of (a) to (b)k：
(c1) If uk＞CkAnd u isk-1≥Ck-1Indicating t e (t)k-1,tk]The modulated waves are all larger than the carrier wave in the time range, and are set to yk＞1.0；
(c2) If uk＞CkAnd u isk-1＜Ck-1Indicating t e (t)k-1,tk]The magnitude relation between the modulation wave and the carrier wave is changed within the time range, so that y isk＝(Ck-1-uk-1)/(uk-Ck+Ck-1-uk-1)；
(c3) If uk＝CkAnd u isk-1＞Ck-1Indicating t e (t)k-1,tk) The modulated waves are all larger than the carrier wave in the time range, tkThe time modulation wave and the carrier wave are exactly equal to each other to make yk＝-1.0；
(c4) If uk＝CkAnd u isk-1＝Ck-1In the abnormal case, let yk＝yk-1；
(c5) If uk＝CkAnd u isk-1＜Ck-1Indicating t e (t)k-1,tk) The modulated waves are all smaller than the carrier wave in the time range, tkThe time modulation wave and the carrier wave are exactly equal to each other to make yk＝1.0；
(c6) If uk＜CkAnd u isk-1＞Ck-1Indicating t e (t)k-1,tk]The magnitude relation between the modulation wave and the carrier wave is changed within the time range, so that y isk＝-(uk-1-Ck-1)/(Ck-uk+uk-1-Ck-1)；
(c7) If uk＜CkAnd u isk-1≤Ck-1Indicating t e (t)k-1,tk]The modulated waves are all smaller than the carrier wave in the time range, and the carrier wave is set to yk＜-1.0。
3. The PWM modulator model apparatus of claim 2, wherein: the carrier wave is a triangular wave, a forward sawtooth wave or a backward sawtooth wave.
4. A controlled power electronic switching device model apparatus based on the control signal characterization method of claim 1, characterized in that: the controlled power electronic switching device model device is connected with the PWM modulator model device, receives a PWM control signal y output by the PWM modulator model device, and performs interpolation or integral calculation according to the logical value and the jumping moment of the PWM control signal y to obtain a subsequent switching action instruction of the controlled power electronic switching device model device so as to realize reinitialization and inhibit numerical oscillation; recording the current simulation time as tkThe simulation time of the previous fixed step is tk-1According to tkPWM control signal y of the momentkJudging the switching action state of the controlled power electronic switching device model device:
if ykE (1.0, + ∞), indicating t e (t)k-1,tk]The switch action does not exist in the time range and is in an on state;
if yk∈(0.0,1.0]Indicating t e (t)k-1,tk]Is changed from off to on within a time range, and the change moment is ts＝yk·tk+(1-yk)·tk-1；
(if y)k0.0, indicating t e (t)k-1,tk]No switching action exists within the time range;
fourthly if ykE [ -1.0,0.0), indicating t ∈ (t)k-1,tk]Is changed from on to off within a time range, and the change moment is ts＝-yk·tk+(1+yk)·tk-1；
U if ykE (- ∞, -1.0), indicating t e (t)k-1,tk]The switch is not operated in the time range and is in an off state.
5. A controlled power electronic switching device model arrangement according to claim 4, characterized in that: the controlled power electronic switching device is an SCR, an IGBT, an MOSFET, a GTO or an ideal switch.
6. A high-precision PWM converter electromagnetic transient simulation method based on the control signal characterization method of claim 1, characterized in that: the method comprises the following steps:
(1) simulation initialization, including sequencing of control submodels, initialization of an electrical equation matrix and state quantities, and initial simulation time setting;
(2) performing one-step simulation calculation on all control subsystem models to obtain modulation wave signals;
(3) performing one-step simulation calculation on all PWM modulator models to obtain logic values and jump time of PWM control signals;
(4) performing interpolation or integral calculation according to the logic value and the jumping moment of the PWM control signal to obtain a subsequent switching action instruction of the controlled power electronic switching device model so as to reinitialize and inhibit numerical oscillation and finally obtain a more accurate simulation result of the PWM converter;
(5) ending the simulation calculation of the current step length, advancing the simulation time by one step and judging whether the simulation is ended: if yes, ending; otherwise, returning to the step (2).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711380227.3A CN108009375B (en) | 2017-12-20 | 2017-12-20 | Control signal characterization method, PWM (pulse-width modulation) modulator model, switching device model and electromagnetic transient simulation method |
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