This application claims priority to Chinese Patent Application No. 201911101544.6, titled “VOLTAGE CONTROL METHOD AND SYSTEM”, filed on November 12, 2019 with the China National Intellectual Property Administration, which is incorporated herein by reference in its entirety.
The present disclosure relates to the technical field of power supply by a converter, and in particular to a method and a system for controlling a voltage.
With the development of science and technology, rail transit is also developing increasingly. In the rail transit, a power supply system including multiple inverters connected in parallel is usually utilized to supply power to trains.
In a process of supplying power to a train, it is necessary to ensure that the output voltage of the inverter is remained within a certain range. A conventional method for controlling an output voltage of an inverter is a droop control method, in which a power-sharing control is realized by using an internal relation between an output power of the inverter and an amplitude and a frequency of the output voltage of the inverter, and thereby the output voltage is controlled.
However, when improving an accuracy of power sharing in a power supply system under the droop control, the output voltage of the inverters may be drooped, that is, an accuracy of the output voltage of the inverters is degraded; and the output voltage changes as the power changes, which results in a poor robustness.
In view of the above, a method and a system for controlling a voltage is provided in embodiments of the present disclosure, in order to solve the problems of poor accuracy of an output voltage and poor robustness when controlling the output voltage of an inverter by the droop control method.
To achieve the above objective, the following technical solutions are provided in the embodiments of the present disclosure.
According to a first aspect of the present disclosure, a method for controlling a voltage is provided. The method is applied to a power supply network including multiple inverters connected in parallel, and the method includes: acquiring a current output voltage of an inverter; calculating a current voltage error of the current output voltage relative to a given output voltage; inputting the current voltage error into a fuzzy controller to determine a target output voltage of the inverter; determining, by using a first PI controller, an amplitude adjustment command based on a difference between an amplitude of the target output voltage and an amplitude of the current output voltage; determining, by using a second PI controller, a phase adjustment command based on a difference between a phase of the target output voltage and a phase of the current output voltage; and adjusting an amplitude of an output voltage of the inverter according to the amplitude adjustment command, and adjusting a phase of the output voltage of the inverter according to the phase adjustment command, to maintain the output voltage of the inverter within a preset range.
In a preferred embodiment, the inputting the current voltage error into a fuzzy controller to determine a target output voltage of the inverter includes: calculating a difference between a previous voltage error and the current voltage error to determine a voltage error variation;
performing, based on a preset fuzzy state universe, fuzzification on the current voltage error and the voltage error variation; performing fuzzy reasoning, by using a preset fuzzy control rule table, on the current voltage error after fuzzification and the voltage error variation after fuzzification, to determine a fuzzy value of a modulation degree of the fuzzy controller; performing de-fuzzification on the fuzzy value of the modulation degree, to calculate the modulation degree; and determining, based on the modulation degree, the target output voltage of the inverter.
In a preferred embodiment, the performing de-fuzzification on the fuzzy value of the modulation degree, to calculate the modulation degree includes: calculating the modulation degree of the fuzzy controller as
where, χi represents the fuzzy value of the modulation degree, and ωi represents a weight corresponding to the fuzzy value of the modulation degree.
In a preferred embodiment, the determining, based on the modulation degree, the target output voltage of the inverter includes: determining the target output voltage of the inverter by performing a sinusoidal pulse width modulation on the modulation degree.
According to a second aspect of the present disclosure, a system for controlling a voltage is provided. The system is applied to a power supply network including multiple inverters connected in parallel, and the system includes an acquiring unit configured to acquire a current output voltage of an inverter; a calculating unit configured to calculate a current voltage error of the current output voltage relative to a given output voltage; a first determining unit configured to input the current voltage error into a fuzzy controller to determine a target output voltage of the inverter; a second determining unit configured to determine, by using a first PI controller, an amplitude adjustment command based on a difference between an amplitude of the target output voltage and an amplitude of the current output voltage; a third determining unit configured to determine, by using a second PI controller, a phase adjustment command based on a difference between a phase of the target output voltage and a phase of the current output voltage; and an adjusting unit configured to adjust an amplitude of an output voltage of the inverter according to the amplitude adjustment command, and adjust a phase of the output voltage of the inverter according to the phase adjustment command, to maintain the output voltage of the inverter within a preset range.
In a preferred embodiment, the first determining unit includes: a calculating module configured to calculate a difference between a previous voltage error and the current voltage error to determine a voltage error variation; a fuzzifying module configured to perform, based on a preset fuzzy state universe, fuzzification on the current voltage error and the voltage error variation; a reasoning module configured to perform fuzzy reasoning, by using a preset fuzzy control rule table, on the current voltage error after fuzzification and the voltage error variation after fuzzification, to determine a fuzzy value of a modulation degree of the fuzzy controller; a de-fuzzifying module configured to perform de-fuzzification on the fuzzy value of the modulation degree, to calculate the modulation degree; and a determining module configured to determine, based on the modulation degree, the target output voltage of the inverter.
In a preferred embodiment, the de-fuzzifying module is configured to calculate the modulation degree of the fuzzy controller as
where, χi represents the fuzzy value of the modulation degree, and ωi represents a weight corresponding to the fuzzy value of the modulation degree.
In a preferred embodiment, the determining module is configured to determine the target output voltage of the inverter by performing a sinusoidal pulse width modulation on the modulation degree.
Based on the method and system for controlling a voltage provided in the embodiments of the present disclosure, in the method: a current output voltage of an inverter is acquired; a current voltage error of the current output voltage relative to a given output voltage is calculated; the current voltage error is inputted into a fuzzy controller to determine a target output voltage of the inverter; an amplitude adjustment command is determined, by using a first PI controller, based on a difference between an amplitude of the target output voltage and an amplitude of the current output voltage; a phase adjustment command is determined, by using a second PI controller, based on a difference between a phase of the target output voltage and a phase of the current output voltage; and an amplitude of an output voltage of the inverter is adjusted according to the amplitude adjustment command, and a phase of the output voltage of the inverter is adjusted according to the phase adjustment command, to maintain the output voltage of the inverter within a preset range. In the solution, a current output voltage is acquired, and a current voltage error of the current output voltage relative to a given output voltage is calculated. The current voltage error is used as an input to a fuzzy controller to determine a target output voltage of the inverter. An amplitude and a phase of the output voltage of the inverter are adjusted based on the target output voltage, by using a first PI controller and a second PI controller respectively, so as to maintain the output voltage of the inverter within a preset range. It is not necessary to apply a droop control on the output voltage of the inverter, and therefore accuracy of the output voltage of the inverter is improved and robustness is improved.
In order for a clearer illustration of technical solutions in embodiments of the present disclosure or the conventional technology, drawings used in the description of the embodiments or the conventional technology are described briefly hereinafter. Apparently, the drawings described in the following illustrate only some embodiments of the present disclosure, and other drawings may be obtained by those ordinarily skilled in the art based on these drawings without any creative effort.
The technical solutions in the embodiments of the present disclosure are described clearly and completely in conjunction with the drawings of the embodiments of the disclosure hereinafter. It is apparent that the described embodiments are only some, rather than all, embodiments of the present disclosure. Any other embodiments obtained by those skilled in the art based on the embodiments in the present disclosure without any creative effort shall fall within the protection scope of the present disclosure.
In this specification, terms “include”, “comprise” or any other variants thereof are intended to be non-exclusive. Therefore, a process, method, article or device including a series of elements includes not only these elements but also elements that are not enumerated, or elements that are inherent to the process, method, article or device. Unless expressively limited otherwise, a process, method, article or device limited by “comprising/including a(n) . . . ” does not exclude existence of another identical element in such process, method, article or device.
It can be known from the background section that a conventional method for controlling an output voltage of an inverter is a droop control method. However, when improving an accuracy of power sharing in a power supply system under the droop control, the output voltage of the inverter may be drooped, and an accuracy of the output voltage of the inverter is degraded. In addition, the output voltage changes as the power changes, which results in a poor robustness.
Therefore, a method and system for controlling a voltage is provided in the embodiments of the present disclosure, in which a fuzzy controller is utilized to determine a target output voltage of an inverter; and an amplitude and a phase of an output voltage of the inverter are adjusted based on the target output voltage and PI controllers, so as to maintain the output voltage of the inverter within a preset range. In this way, the accuracy of the output voltage of the inverter and the robustness are improved.
The method and system for controlling a voltage in the embodiments of the present disclosure are applicable to a power supply network including multiple inverters connected in parallel. For a better explanation of a structure of the power supply network, description is made by way of an example in conjunction with
In
Parameters of each of the inverters in
Output filter inductance: 3*0.27 mH;
Output filter capacitance: 3*100 μF, in a delta connection;
Switching frequency: 1.35HZ;
Rated output line voltage: 380V.
In step S201, a current output voltage of an inverter is acquired.
In an implementation of step S201, a voltage at an output end of the inverter is acquired as the current output voltage of the inverter.
In step S202, a current voltage error of the current output voltage relative to a given output voltage is calculated.
In an implementation of step S202, it should be noted that the given output voltage of the inverter is preset; and after the current output voltage is acquired, an error between the given output voltage and the current output voltage is calculated as the current voltage error.
In step S203, the current voltage error is inputted into a fuzzy controller to determine a target output voltage of the inverter.
In an implementation of step S203, the current voltage error is used as an input to the fuzzy controller for a fuzzy control operation to obtain the target output voltage of the inverter.
In step S204, an amplitude adjustment command is determined, by using a first PI controller, based on a difference between an amplitude of the target output voltage and an amplitude of the current output voltage.
It should be noted that the PI controller (proportional integral controller) is a linear controller, by which a control deviation is obtained based on a given value and an actual output value, a proportion and integration of the control deviation are linearly combined to generate a control amount, and a controlled object is controlled with the control amount.
In an implementation of step S204, the amplitude of the current output voltage is calculated, and the difference between the amplitude of the target output voltage and the amplitude of the current output voltage is inputted to the first PI controller to determine the amplitude adjustment command.
In step S205, a phase adjustment command is determined, by using a second PI controller, based on a difference between a phase of the target output voltage and a phase of the current output voltage.
In an implementation of step S205, the phase of the current output voltage is calculated, and the difference between the phase of the target output voltage and the phase of the current output voltage is inputted to the second PI controller to determine the phase adjustment command.
In step S206, an amplitude of the output voltage of the inverter is adjusted according to the amplitude adjustment command, and a phase of the output voltage of the inverter is adjusted according to the phase adjustment command, to maintain the output voltage of the inverter within a preset range.
It should be noted that the output voltage of the inverter is related to an amplitude and a phase of the output voltage, and therefore the output voltage may be adjusted by adjusting the amplitude and the phase of the output voltage of the inverter.
In an implementation of step S206, the amplitude of the output voltage of the inverter is adjusted according to the amplitude adjustment command determined by using the first PI controller, and the phase of the output voltage of the inverter is adjusted according to the phase adjustment command determined by using the second PI controller, so as to maintain the output voltage of the inverter within a preset range.
For a better explanation of a process of controlling the output voltage of the inverter as mentioned in steps S201 to S206, description is made by way of an example in conjunction with
In
In the embodiments of the present disclosure, a current output voltage is acquired, and a difference between the given output voltage and the current output voltage is inputted to the fuzzy controller for a fuzzy control operation to obtain the target output voltage of the inverter; a difference between an amplitude of the target output voltage and an amplitude of the current output voltage and a difference between a phase of the target output voltage and a phase of the current output voltage are determined; and an amplitude of an output voltage of the inverter is adjusted by using a first PI controller, and a phase of the output voltage of the inverter is adjusted by using a second PI controller, to maintain the output voltage of the converter within a preset range. It is not necessary to perform a droop control on the output voltage of the inverter, and therefore the accuracy of the output voltage of the inverter is improved and the robustness is improved.
For a process of the fuzzy control operation mentioned in step S203 in
In step S401, a difference between a previous voltage error and the current voltage error is calculated to determine a voltage error variation.
It should be noted that in the process of the fuzzy control operation, the current voltage error and the voltage error variation are taken as observation objects. Meanwhile, a membership function corresponding to the fuzzy controller is pre-determined. The membership function is a triangular membership function, a trapezoidal membership function or a bell-shaped membership function. The membership function for the fuzzy controller is not specifically limited in the embodiments of the present disclosure.
In step S402, fuzzification is performed, based on a preset fuzzy state universe, on the current voltage error and the voltage error variation.
It should be noted that the fuzzy state universe of the current voltage error, the voltage error variation and the modulation degree of the fuzzy controller is divided into n fuzzy sets in advance. For example, the fuzzy state universe is divided into 7 fuzzy sets, i.e., {negative big (NB), negative medium (NM), negative small (NS), zero (ZO), positive small (PS), positive medium (PM) , positive big (PB)}.
In an implementation of step S402, the current voltage error and the voltage error variation are limited. For example, the current voltage error is limited within a range of (−3, 3), that is, a value of the current voltage error is limited to be equal to −3 if it is less than -3, and is limited to be equal to 3 if it is greater than 3. Limitation on the voltage error variation may be performed in a similar manner.
The current voltage error and the voltage error variation are fuzzified, for example, in combination with the aforementioned limitation. A process of fuzzification on the current voltage error includes: determining that the current voltage error is NB if the current voltage error is equal to −3; determining that the current voltage error is NM if the current voltage error is between −3 and −2; determining that the current voltage error is NS if the current voltage error is between −2 and −1; determining that the current voltage error is ZO if the current voltage error is between −1 and 1; determining that the current voltage error is PS if the current voltage error is between 1 and 2; determining that the current voltage error is PM if the current voltage error is between 2 and 3; determining that the current voltage error is PB if the current voltage error is equal to 3.
The fuzzification on the voltage error variation may be performed in a similar manner.
In step S403, fuzzy reasoning is performed, by using a preset fuzzy control rule table, on the current voltage error after fuzzification and the voltage error variation after fuzzification, to determine a fuzzy value of a modulation degree of the fuzzy controller.
It should be noted that the fuzzy control rule table for the current voltage error, the voltage error variation and the modulation degree is established in advance based on expert experience. For a better explanation of specific content of the fuzzy control rule table, description is made by way of an example in conjunction with Table 1 as follows. In Table 1, e represents a current voltage error, and ec represents a voltage error variation.
In an implementation of step S403, fuzzy reasoning is performed, by using a preset reasoning rule in combination with the fuzzy control rule table, on the current voltage error after fuzzification and the voltage error variation after fuzzification, to determine a fuzzy value of the modulation degree.
In an example, supposing a modulation degree M of the fuzzy controller, a process of the fuzzy reasoning, based on Table 1, on the current voltage error after fuzzification and the voltage error variation after fuzzification includes: if e=NB and ec=NB, then M=PB; and if e=ZO and ec=NM, then M=PS. By applying the preset reasoning rule, such as those mentioned in the foregoing example, to perform the fuzzy reasoning on the current voltage error after fuzzification and the voltage error variation after fuzzification, the fuzzy value of the modulation degree is determined.
In step S404, de-fuzzification is performed on the fuzzy value of the modulation degree to calculate the modulation degree.
It should be noted that a method for the de-fuzzification on the fuzzy value includes but is not limited to a center of gravity method, a maximum membership degree method, and a weighted average method.
In an implementation of step S404, a predetermined de-fuzzification method is applied to realize de-fuzzification on the fuzzy value of the modulation degree, and thereby calculate the modulation degree.
For a better explanation of how to perform the de-fuzzification on the fuzzy value of the modulation degree, description is made by using the weighted average method as an example. Referring to equation (1), which is adopted for calculating the modulation degree of the fuzzy controller. In equation (1), χi represents the fuzzy value of the modulation degree, and ωi represents a weight corresponding to the fuzzy value of the modulation degree.
In step S405, the target output voltage of the inverter is determined based on the modulation degree.
In an implementation of step S405, the target output voltage of the inverter is determined by performing a sinusoidal pulse width modulation on the modulation degree.
For a better explanation of a fuzzy control process mentioned in step S401 to S405, description is made by way of an example in conjunction with
In
A process of calculating e(m) and ec(m) is shown by equation (2) and equation (3):
e(m)=Uref-Uo(m) (2)
ec(m)=e′(m)=e(m)-e(m-l) (3),
where e(m-1) represents the output voltage of the inverter at time instant m-1.
In the embodiments of the present disclosure, the voltage error and the voltage error variation are inputted to the fuzzy controller for a fuzzy control operation to obtain the modulation degree of the fuzzy controller, and a sinusoidal pulse width modulation is performed on the modulation degree to obtain the target output voltage of the inverter. The target output voltage is used as an input to the subsequent closed-loop control, in which an amplitude and a phase of the output voltage of the inverter are adjusted by using PI controllers, and thereby the output voltage of the inverter is maintained within a preset range. It is not necessary to perform a droop control on the output voltage of the inverter, and therefore the accuracy of the output voltage of the inverter is improved and the robustness is improved.
Corresponding to the method for controlling a voltage in the embodiments of the present disclosure, a system for controlling a voltage is further provided in the embodiments of the present disclosure.
In the embodiments of the present disclosure, a current output voltage is acquired, and a difference between the given output voltage and the current output voltage is inputted to the fuzzy controller for a fuzzy control operation to obtain the target output voltage of the inverter; a difference between an amplitude of the target output voltage and an amplitude of the current output voltage and a difference between a phase of the target output voltage and a phase of the current output voltage are determined; and an amplitude of an output voltage of the inverter is adjusted by using a first PI controller, and a phase of the output voltage of the inverter is adjusted by using a second PI controller, to maintain the output voltage of the converter within a preset range. It is not necessary to perform a droop control on the output voltage of the inverter, and therefore the accuracy of the output voltage of the inverter is improved and the robustness is improved.
In a preferred embodiment, based on
In an implementation, the determining module is specifically configured to determine the target output voltage of the inverter by performing a sinusoidal pulse width modulation on the modulation degree.
In the embodiments of the present disclosure, the voltage error and the voltage error variation are inputted to the fuzzy controller for a fuzzy control operation to obtain the modulation degree of the fuzzy controller, and a sinusoidal pulse width modulation is performed on the modulation degree to obtain the target output voltage of the inverter. The target output voltage is used as an input to the subsequent closed-loop control, in which an amplitude and a phase of the output voltage of the inverter are adjusted by using PI controllers, and thereby the output voltage of the inverter is maintained within a preset range. It is not necessary to perform a droop control on the output voltage of the inverter, and therefore the accuracy of the output voltage of the inverter is improved and the robustness is improved.
In a preferred embodiment, the method and system for controlling a voltage involved in the embodiments of the present disclosure are realized through a control device.
The DSP control board 703 is configured to cause the specific content of the method and system for controlling a voltage involved in the embodiments of the present disclosure to be performed.
In summary, a method and system for controlling a voltage is provided in the embodiments of the present disclosure. With the method, a current output voltage of an inverter is acquired; a current voltage error of the current output voltage relative to a given output voltage is calculated; the current voltage error is inputted into a fuzzy controller to determine a target output voltage of the inverter; an amplitude adjustment command is determined, by using a first PI controller, based on a difference between an amplitude of the target output voltage and an amplitude of the current output voltage; a phase adjustment command is determined, by using a second PI controller, based on a difference between a phase of the target output voltage and a phase of the current output voltage; and an amplitude of an output voltage of the inverter is adjusted according to the amplitude adjustment command, and a phase of the output voltage of the inverter is adjusted according to the phase adjustment command, to maintain the output voltage of the inverter within a preset range. In the solution, a current output voltage is acquired, and a current voltage error of the current output voltage relative to a given output voltage is calculated. The current voltage error is used as an input to a fuzzy controller to determine a target output voltage of the inverter. An amplitude and a phase of the output voltage of the inverter are adjusted based on the target output voltage, by using a first PI controller and a second PI controller respectively, so as to maintain the output voltage of the inverter within a preset range. It is not necessary to apply a droop control on the output voltage of the inverter, and therefore accuracy of the output voltage of the inverter is improved and robustness is improved.
The embodiments in this specification are described in a progressive manner, each of the embodiments emphasizes the differences between the embodiment and other embodiments, and the same or similar parts among the embodiments may be referred to each other. In particular, a system or system embodiments are described in a relatively simple manner as it is basically similar to the method embodiments, and reference may be made to a part of the description of the method embodiments for related description of the system or system embodiments. The system and system embodiments described above are merely illustrative, where the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, the components may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the solutions of the embodiments. Those of ordinary skill in the art may understand and implement the present disclosure without any creative effort.
It may be further understood by those skilled in the art that units and algorithm steps described in combination with the disclosed embodiments may be implemented by electronic hardware, computer software or a combination thereof. In order to clearly describe interchangeability of the hardware and the software, the units and the steps are generally described above in view of their functions. Whether the functions being implemented by hardware or by software depends on applications of the technical solution and design constraints.
Those skilled in the art may use different methods for each particular application to implement the described functions, but such implementation should not be considered as going beyond the scope of the present disclosure.
The description of the embodiments herein enables those skilled in the art to implement or use the present disclosure. Many modifications to these embodiments are apparent for those skilled in the art. The general principles defined herein may be applied to other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure is not limited to the embodiments illustrated herein, but is to conform to the widest scope consistent with the principles and novel features disclosed herein.
Number | Date | Country | Kind |
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201911101544.6 | Nov 2019 | CN | national |
Filing Document | Filing Date | Country | Kind |
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PCT/CN2019/119850 | 11/21/2019 | WO |