CN117559543A - Parameter adjustment method, device, computer equipment and storage medium - Google Patents
Parameter adjustment method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a parameter adjustment method, a parameter adjustment device, computer equipment and a storage medium. The method comprises the following steps: acquiring the operation parameters of an inverter in the power distribution network, and according to the operation parameters of the inverter and the rated parameters of the inverter 、 Determining a candidate damping coefficient, a candidate moment of inertia and a moment of inertia interval according to the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network, determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameters in the operation parameters of the inverter, and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target moment of inertia to enable the inverter to run from abnormalThe state transitions to a normal operating state. By adopting the method, the running stability and safety of the inverter can be improved.
Description
Technical Field
The present disclosure relates to the field of power distribution network technologies, and in particular, to a parameter adjustment method, a parameter adjustment device, a computer device, and a storage medium.
Background
Along with the centralized grid connection of large-scale new energy sources, the importance of the grid-connected inverter is increased, and in order to ensure the stable operation of the power distribution network, parameters (such as damping coefficient and moment of inertia) of a control loop where the inverter is located can be determined under the condition that the frequency of the inverter fluctuates, so that the power distribution network where the inverter is located is restored to a stable operation state.
However, by adopting the existing parameter adjustment method, the operation parameters of the inverter are directly substituted into a fixed calculation formula to determine the parameters of a control loop where the inverter is located, so that the determined parameters are not matched with the inverter, and the stability and safety of the operation of the inverter are reduced.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a parameter adjustment method, apparatus, computer device, and computer-readable storage medium capable of improving stability and safety of inverter operation.
In a first aspect, the present application provides a method for parameter adjustment. The method comprises the following steps:
acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
determining candidate damping coefficients, candidate moment of inertia and moment of inertia intervals according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target rotational inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
In one embodiment, the operating parameters of the virtual synchronous generator include active power variation, operating angular frequency and bridge arm midpoint voltage; the operation parameters of the inverter comprise an angle parameter and a rated parameter; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; the angle parameters comprise an angular frequency change amount, an angular velocity offset amount and an angular frequency change rate; the nominal parameters include nominal angular frequency and phase margin nominal values.
In one embodiment, determining the candidate damping coefficient, the candidate moment of inertia, and the moment of inertia interval according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator, and the operation parameters of the power distribution network includes:
determining candidate damping coefficients according to the angular frequency variation, the rated angular frequency and the active power variation; determining candidate moment of inertia according to line impedance, operating angular frequency, bridge arm midpoint voltage and actual grid voltage; determining the cut-off frequency of an active loop according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual power grid voltage; and determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
In one embodiment, determining the target damping coefficient and the target moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval, and an angular parameter among the operating parameters of the inverter includes:
determining a target damping coefficient and an alternative moment of inertia according to the candidate damping coefficient, the candidate moment of inertia and the angle parameter in the operation parameters of the inverter; and determining the target moment of inertia according to the alternative moment of inertia and the moment of inertia interval.
In one embodiment, determining the target damping coefficient and the alternative moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, and an angular parameter of the operating parameters of the inverter includes:
determining a target damping coefficient according to the angular velocity offset, the candidate damping coefficient and a preset damping coefficient gain; and determining the alternative moment of inertia according to the angular frequency change rate, the candidate moment of inertia and the preset moment of inertia coefficient gain.
In one embodiment, determining the target moment of inertia from the candidate moment of inertia and the moment of inertia interval includes:
taking the alternative damping coefficient as a target moment of inertia when the alternative moment of inertia is in the moment of inertia interval; and under the condition that the alternative moment of inertia is outside the moment of inertia interval, determining the target moment of inertia according to the moment of inertia interval.
In one embodiment, determining the target moment of inertia from the moment of inertia interval includes:
if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, taking the maximum value of the moment of inertia interval as the target moment of inertia; and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, taking the minimum value of the moment of inertia interval as the target moment of inertia.
In a second aspect, the present application further provides a parameter adjustment device. The device comprises:
the parameter acquisition module is used for acquiring the operation parameters of the inverter in the power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
the first determining module is used for determining a candidate damping coefficient, a candidate moment of inertia and a moment of inertia interval according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
the second determining module is used for determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and the control module is used for adjusting the control loop parameters of the inverter according to the target damping coefficient and the target moment of inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
determining candidate damping coefficients, candidate moment of inertia and moment of inertia intervals according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target rotational inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
determining candidate damping coefficients, candidate moment of inertia and moment of inertia intervals according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target rotational inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
determining candidate damping coefficients, candidate moment of inertia and moment of inertia intervals according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
Determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target rotational inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
The parameter adjustment method, the device, the computer equipment and the storage medium introduce a moment of inertia section, determine candidate damping coefficients, candidate moment of inertia and a moment of inertia section according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network, and determine a target damping coefficient and a target moment of inertia according to the candidate damping coefficients, the candidate moment of inertia, the moment of inertia section and the angle parameters in the operation parameters of the inverter; then, according to the target damping coefficient and the target rotational inertia, the control loop parameters of the inverter are adjusted so as to enable the inverter to be converted from an abnormal operation state to a normal operation state. Compared with the prior art, the method has the advantages that the operation parameters are directly substituted into the fixed calculation formula to determine the control loop parameters of the inverter, and the finally determined target moment of inertia can be ensured to be in a proper range by predetermining the moment of inertia interval, namely, the target moment of inertia is matched with the operation of the inverter, so that the accuracy of the adjustment of the control loop parameters of the inverter is ensured, and the stability and the safety of the operation of the inverter are further ensured.
Drawings
FIG. 1 is a flow chart of a parameter adjustment method in one embodiment;
FIG. 2 is a flow diagram of determining candidate parameters in one embodiment;
FIG. 3 is a flow chart of determining target parameters in one embodiment;
FIG. 4 is a flow diagram of determining a target moment of inertia in one embodiment;
FIG. 5 is a flowchart of a parameter adjustment method according to another embodiment;
FIG. 6 is a block diagram of a parameter adjustment device according to one embodiment;
FIG. 7 is a block diagram showing a parameter adjusting apparatus according to another embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Along with the centralized grid connection of large-scale new energy sources, the importance of the grid-connected inverter is increased, and in order to ensure the stable operation of the power distribution network, parameters (such as damping coefficient and moment of inertia) of a control loop where the inverter is located can be determined under the condition that the frequency of the inverter fluctuates, so that the power distribution network where the inverter is located is restored to a stable operation state.
However, by adopting the existing parameter adjustment method, the operation parameters of the inverter are directly substituted into a fixed calculation formula to determine the parameters of a control loop where the inverter is located, so that the determined parameters are not matched with the inverter, and the stability and safety of the operation of the inverter are reduced.
Based on this, in one embodiment, as shown in fig. 1, there is provided a parameter adjustment method, specifically including the following steps:
s101, acquiring operation parameters of an inverter in the power distribution network.
Wherein the inverter is controlled by a virtual synchronous generator, and further, the inverter is a power adjusting device composed of semiconductor devices and mainly used for converting direct-current power into alternating-current power; the operation parameters refer to parameters of the inverter under the control of the virtual synchronous generator at the current moment, such as an angle parameter, a rated parameter and the like.
Optionally, in order to better adjust the inverter in the abnormal state, the operation parameters of the inverter may be directly obtained when the virtual synchronous generator is used to control the inverter.
S102, determining a candidate damping coefficient, a candidate moment of inertia and a moment of inertia interval according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network.
Wherein the rated parameters refer to standard parameters preset by the inverter, such as rated angular frequency and phase margin rated value; the operation parameters of the power distribution network refer to parameters of the power distribution network where the inverter is located, such as path impedance and actual power grid voltage; the damping coefficient is used for representing the degree of the change of the resistance moment along with the rotating speed; the candidate damping coefficient is a base value for determining a target damping coefficient; the moment of inertia is a physical quantity representing the resistance of the generator to change its own rotation state; the candidate moment of inertia is a base value for determining the target moment of inertia; the moment of inertia interval is the effective range of the target moment of inertia.
Optionally, after determining the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network may be input into a trained first parameter determination model, and the first parameter determination model determines the candidate damping coefficient, the candidate moment of inertia and the moment of inertia interval according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator, the operation parameters of the power distribution network and the model parameters.
S103, determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter.
The target damping coefficient and the target moment of inertia are parameters for adjusting a control loop in which the inverter is located.
Alternatively, after the candidate damping coefficient, the candidate moment of inertia and the moment of inertia interval are determined, the candidate damping coefficient and the angle parameter of the operation parameters of the inverter may be input into a trained damping coefficient determination model, and the damping coefficient determination model determines the target damping coefficient according to the candidate damping coefficient, the angle parameter of the inverter and the model parameter.
Further, the candidate moment of inertia, the angle parameter of the inverter, and the moment of inertia interval may be input into a trained moment of inertia determination model, and the moment of inertia determination model determines the target moment of inertia based on the candidate moment of inertia, the angle parameter, the moment of inertia interval, and the model parameter.
S104, adjusting the control loop parameters of the inverter according to the target damping coefficient and the target moment of inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
Optionally, after determining the target damping coefficient and the target moment of inertia, the control loop parameter of the inverter may be adaptively adjusted according to the target damping coefficient and the target moment of inertia, so as to enable the inverter to be converted from the abnormal operation state to the normal operation state. It can be understood that the power distribution network where the inverter is located can still operate under the abnormal state of the inverter, but the operation effect is poor; correspondingly, the running state of the power distribution network is the optimal running state under the normal running state of the inverter.
In the above parameter adjustment method, a moment of inertia section is introduced, a candidate damping coefficient, a candidate moment of inertia and a moment of inertia section are determined according to the operation parameter of the inverter, the rated parameter of the inverter, the operation parameter of the virtual synchronous generator and the operation parameter of the power distribution network, and a target damping coefficient and a target moment of inertia are determined according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia section and the angle parameter in the operation parameter of the inverter; then, according to the target damping coefficient and the target rotational inertia, the control loop parameters of the inverter are adjusted so as to enable the inverter to be converted from an abnormal operation state to a normal operation state. Compared with the prior art, the method has the advantages that the operation parameters are directly substituted into the fixed calculation formula to determine the control loop parameters of the inverter, and the finally determined target moment of inertia can be ensured to be in a proper range by predetermining the moment of inertia interval, namely, the target moment of inertia is matched with the operation of the inverter, so that the accuracy of the adjustment of the control loop parameters of the inverter is ensured, and the stability and the safety of the operation of the inverter are further ensured.
On the basis of the embodiment, in the embodiment, the virtual synchronous generator operation parameters include active power variation, operation angular frequency and bridge arm midpoint voltage; the operation parameters of the inverter comprise angle parameters and rated parameters, wherein the angle parameters comprise angular frequency variation, and the rated parameters comprise rated angular frequency and phase margin rated values; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; further, there is provided an alternative method for determining candidate parameters, as shown in fig. 2, specifically including the following steps:
S201, determining candidate damping coefficients according to the angular frequency variation, the rated angular frequency and the active power variation.
Alternatively, as shown in formula (1), based on the small signal model corresponding to the virtual synchronous generator, the candidate damping coefficient can be determined according to the angular frequency variation and the rated angular frequency of the inverter, and the active power variation of the virtual synchronous generator. Wherein D is 0 Is a candidate damping coefficient; ΔP max Is the active power variation; Δω max Is the angular frequency variation; omega n Is the rated angular frequency.
S202, determining candidate moment of inertia according to line impedance, operating angular frequency, bridge arm midpoint voltage and actual grid voltage.
Alternatively, as shown in formula (2), based on the large signal model corresponding to the virtual synchronous generator, the candidate moment of inertia can be determined according to the line impedance of the power distribution network, the actual power grid voltage, the operating angular frequency of the virtual synchronous generator and the bridge arm midpoint voltage. Wherein J is 0 Is a candidate moment of inertia; x is the line impedance; omega 0 For the operating angular frequency; e is the bridge arm midpoint voltage; u is the actual grid voltage of the distribution network.
S203, determining the cut-off frequency of the active loop according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual grid voltage.
Optionally, as shown in formula (3), an active power loop gain expression of the inverter can be constructed based on a large signal model corresponding to the virtual synchronous generator, and the loop gain is 1 at the cut-off frequency. Wherein T is P (j2πf cp ) Gain for active power loop; f (f) cp Is the active loop cut-off frequency. Further, according to the formula (3), the expression of the formula (4) can be derived.
It will be appreciated that since the root-form lower expression in equation (4) must be equal to or greater than 0, the maximum value of the active loop cut-off frequency can be derived as shown in equation (5). Further, since the active ring cutoff frequency and the moment of inertia exhibit a negative correlation, the minimum value in the moment of inertia interval can be determined based on the maximum value of the active ring cutoff frequency.
S204, determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
Optionally, on the basis of ensuring that the inverter phase margin meets the requirement shown in the formula (6), as shown in the formula (7), the maximum value in the moment of inertia interval can be determined according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value. Wherein PM req Rated for phase margin; j is the moment of inertia interval.
PM req ≤180°+∠T P (j2πf cp ) (6)
In this embodiment, the candidate damping coefficient, the candidate moment of inertia and the moment of inertia interval are determined by the derived calculation formula, so that the accuracy of parameter determination can be ensured.
On the basis of the above embodiment, in the present embodiment, the angle parameter may further include an angular velocity offset amount and an angular frequency change rate; further, there is provided an alternative method for determining a target parameter, as shown in fig. 3, specifically including the following steps:
s301, determining a target damping coefficient and an alternative moment of inertia according to the candidate damping coefficient, the candidate moment of inertia and the angle parameter in the operation parameters of the inverter.
Alternatively, the candidate damping coefficient, the candidate moment of inertia and the angle parameter of the inverter are directly input into a trained second parameter determination model, and the target damping coefficient and the candidate moment of inertia are determined according to the candidate damping coefficient, the candidate moment of inertia, the angle parameter and the model parameter by the second parameter determination model.
Alternatively, the target damping coefficient is determined according to the angular velocity offset, the candidate damping coefficient, and a preset damping coefficient gain, and the candidate moment of inertia is determined according to the angular frequency change rate, the candidate moment of inertia, and the preset moment of inertia coefficient gain.
Alternatively, as shown in formula (8), the target damping coefficient may be calculated according to the angular velocity offset, the candidate damping coefficient, and the preset damping coefficient gain, where K D The damping coefficient gain can be adjusted according to the self requirement; Δω is the angular velocity offset; d (D) x Is the target damping coefficient.
D x ＝D 0 +K D |Δω| (8)
Further, as shown in equation (9), the candidate moment of inertia may be determined according to the angular frequency change rate, the candidate moment of inertia, and the preset moment of inertia coefficient gain. Wherein J is S Is an alternative moment of inertia; dω/dt is the angular frequency rate of change; k (K) J The gain of the rotational inertia coefficient can be adjusted according to the self requirement.
S302, determining target moment of inertia according to the alternative moment of inertia and the moment of inertia interval.
Alternatively, after the candidate moment of inertia and the moment of inertia section are determined, the target moment of inertia may be determined according to a comparison result between the candidate moment of inertia and the moment of inertia section.
In this embodiment, the target moment of inertia is determined according to the comparison result between the candidate moment of inertia and the moment of inertia interval by the derived calculation formula target damping coefficient and the candidate moment of inertia, so that the accuracy of parameter determination can be ensured, and the stability and safety of inverter operation are further ensured.
On the basis of the above embodiment, in this embodiment, an alternative way of determining the target moment of inertia is provided, as shown in fig. 4, and specifically includes the following steps:
s401, in the case where the alternative moment of inertia is within the moment of inertia section, taking the alternative damping coefficient as the target moment of inertia.
Alternatively, if the alternative moment of inertia is within the moment of inertia interval, it is indicated that the alternative moment of inertia is matched with the control loop in which the inverter is located, and therefore the alternative damping coefficient may be directly used as the target moment of inertia.
S402, determining target moment of inertia according to the moment of inertia interval when the alternative moment of inertia is outside the moment of inertia interval.
Alternatively, if the candidate moment of inertia is outside the moment of inertia interval, it is indicated that the candidate moment of inertia is not matched with the control loop in which the inverter is located, and therefore the target moment of inertia can be determined according to the maximum value and the minimum value of the moment of inertia interval.
For example, if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, the maximum value of the moment of inertia interval is taken as the target moment of inertia; and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, taking the minimum value of the moment of inertia interval as the target moment of inertia.
It can be understood that if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, it is indicated that the alternative moment of inertia is too large, and in this case, in order to ensure the effectiveness of the adjustment of the parameters of the control loop of the inverter, the maximum value of the moment of inertia interval can be directly used as the target moment of inertia; correspondingly, if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, the alternative moment of inertia is too small, and at this time, in order to ensure the effectiveness of the adjustment of the control loop parameters of the inverter, the minimum value of the moment of inertia interval can be directly used as the target moment of inertia.
In this embodiment, whether the candidate moment of inertia is in the moment of inertia interval or not determines the target moment of inertia, so that accuracy of parameter determination can be ensured, and further stability and safety of inverter operation are ensured.
Fig. 5 is a flowchart of a parameter adjustment method according to another embodiment, and this embodiment provides an alternative example of the parameter adjustment method based on the above embodiment. With reference to fig. 5, the specific implementation procedure is as follows:
s501, acquiring operation parameters of an inverter in the power distribution network.
Wherein the inverter is controlled by a virtual synchronous generator; the operation parameters of the virtual synchronous generator comprise active power variation, operation angular frequency and bridge arm midpoint voltage; the operation parameters of the inverter comprise an angle parameter and a rated parameter; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; the angle parameters comprise an angular frequency change amount, an angular velocity offset amount and an angular frequency change rate; the nominal parameters include nominal angular frequency and phase margin nominal values.
S502, determining candidate damping coefficients according to the angular frequency variation, the rated angular frequency and the active power variation.
And S503, determining candidate moment of inertia according to the line impedance, the operating angular frequency, the bridge arm midpoint voltage and the actual grid voltage.
S504, determining the cut-off frequency of the active loop according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual grid voltage.
S505, determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
S506, determining a target damping coefficient according to the angular velocity offset, the candidate damping coefficient and the preset damping coefficient gain.
S507, determining alternative moment of inertia according to the angular frequency change rate, the candidate moment of inertia and the preset moment of inertia coefficient gain.
S508, judging whether the alternative moment of inertia is in a moment of inertia section, if so, executing S509; if not, executing.
S509, taking the alternative damping coefficient as the target moment of inertia.
S510, determining target moment of inertia according to the moment of inertia interval.
Optionally, if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, taking the maximum value of the moment of inertia interval as the target moment of inertia; and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, taking the minimum value of the moment of inertia interval as the target moment of inertia.
S511, adjusting the control loop parameters of the inverter according to the target damping coefficient and the target moment of inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
The specific process of S501-S511 may be referred to the description of the above method embodiment, and its implementation principle and technical effects are similar, and are not repeated here.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a parameter adjusting device for realizing the parameter adjusting method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of the embodiment of one or more parameter adjustment devices provided below may be referred to the limitation of the parameter adjustment method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided a parameter adjustment apparatus 1 including: a parameter acquisition module 10, a first determination module 20, a second determination module 30, and a control module 40, wherein:
the parameter acquisition module 10 is used for acquiring the operation parameters of the inverter in the power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
the first determining module 20 is configured to determine a candidate damping coefficient, a candidate moment of inertia and a moment of inertia interval according to an operation parameter of the inverter, a rated parameter of the inverter, an operation parameter of the virtual synchronous generator and an operation parameter of the power distribution network;
a second determining module 30, configured to determine a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval, and an angle parameter among the operation parameters of the inverter;
The control module 40 is configured to adjust a control loop parameter of the inverter according to the target damping coefficient and the target moment of inertia, so as to switch the inverter from the abnormal operation state to the normal operation state.
In one embodiment, the operating parameters of the virtual synchronous generator include active power variation, operating angular frequency, and bridge arm midpoint voltage; the operation parameters of the inverter comprise an angle parameter and a rated parameter; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; the angle parameters comprise an angular frequency change amount, an angular velocity offset amount and an angular frequency change rate; the nominal parameters include nominal angular frequency and phase margin nominal values.
In one embodiment, the first determining module 20 is specifically configured to:
determining candidate damping coefficients according to the angular frequency variation, the rated angular frequency and the active power variation; determining candidate moment of inertia according to line impedance, operating angular frequency, bridge arm midpoint voltage and actual grid voltage; determining the cut-off frequency of an active loop according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual power grid voltage; and determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
In one embodiment, as shown in fig. 7, the second determining module 30 includes:
a first determining unit 31 for determining a target damping coefficient and an alternative moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, and an angle parameter among the operation parameters of the inverter;
a second determining unit 32 for determining a target moment of inertia based on the candidate moment of inertia and the moment of inertia interval.
In one embodiment, the first determining unit 31 is specifically configured to:
determining a target damping coefficient according to the angular velocity offset, the candidate damping coefficient and a preset damping coefficient gain; and determining the alternative moment of inertia according to the angular frequency change rate, the candidate moment of inertia and the preset moment of inertia coefficient gain.
In one embodiment, the second determining unit 32 includes:
a first subunit, configured to take the candidate damping coefficient as a target moment of inertia when the candidate moment of inertia is within the moment of inertia interval;
and the second subunit is used for determining the target moment of inertia according to the moment of inertia interval under the condition that the alternative moment of inertia is outside the moment of inertia interval.
In one embodiment, the second subunit is specifically configured to:
if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, taking the maximum value of the moment of inertia interval as the target moment of inertia; and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, taking the minimum value of the moment of inertia interval as the target moment of inertia.
The respective modules in the above-described parameter adjustment apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store operating parameter data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a parameter adjustment method.
It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
determining candidate damping coefficients, candidate moment of inertia and moment of inertia intervals according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target rotational inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
In one embodiment, the operating parameters of the virtual synchronous generator include active power variation, operating angular frequency, and bridge arm midpoint voltage; the operation parameters of the inverter comprise an angle parameter and a rated parameter; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; the angle parameters comprise an angular frequency change amount, an angular velocity offset amount and an angular frequency change rate; the nominal parameters include nominal angular frequency and phase margin nominal values.
In one embodiment, when the processor executes logic in the computer program for determining the candidate damping coefficient, the candidate moment of inertia and the moment of inertia interval according to the operation parameter of the inverter, the rated parameter of the inverter, the operation parameter of the virtual synchronous generator and the operation parameter of the power distribution network, the following steps are specifically implemented:
determining candidate damping coefficients according to the angular frequency variation, the rated angular frequency and the active power variation; determining candidate moment of inertia according to line impedance, operating angular frequency, bridge arm midpoint voltage and actual grid voltage; determining the cut-off frequency of an active loop according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual power grid voltage; and determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
In one embodiment, when the processor executes logic in the computer program to determine the target damping coefficient and the target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter, the following steps are specifically implemented:
determining a target damping coefficient and an alternative moment of inertia according to the candidate damping coefficient, the candidate moment of inertia and the angle parameter in the operation parameters of the inverter; and determining the target moment of inertia according to the alternative moment of inertia and the moment of inertia interval.
In one embodiment, when the processor executes logic in the computer program to determine the target damping coefficient and the candidate moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, and an angular parameter of the operating parameters of the inverter, the following steps are specifically implemented:
determining a target damping coefficient according to the angular velocity offset, the candidate damping coefficient and a preset damping coefficient gain; and determining the alternative moment of inertia according to the angular frequency change rate, the candidate moment of inertia and the preset moment of inertia coefficient gain.
In one embodiment, when the processor executes logic for determining the target moment of inertia according to the candidate moment of inertia and the moment of inertia interval in the computer program, the following steps are specifically implemented:
Taking the alternative damping coefficient as a target moment of inertia when the alternative moment of inertia is in the moment of inertia interval; and under the condition that the alternative moment of inertia is outside the moment of inertia interval, determining the target moment of inertia according to the moment of inertia interval.
In one embodiment, when the processor executes logic for determining the target moment of inertia according to the moment of inertia interval in the computer program, the following steps are specifically implemented:
if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, taking the maximum value of the moment of inertia interval as the target moment of inertia; and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, taking the minimum value of the moment of inertia interval as the target moment of inertia.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
determining candidate damping coefficients, candidate moment of inertia and moment of inertia intervals according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
Determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target rotational inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
In one embodiment, the operating parameters of the virtual synchronous generator include active power variation, operating angular frequency, and bridge arm midpoint voltage; the operation parameters of the inverter comprise an angle parameter and a rated parameter; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; the angle parameters comprise an angular frequency change amount, an angular velocity offset amount and an angular frequency change rate; the nominal parameters include nominal angular frequency and phase margin nominal values.
In one embodiment, the code logic for determining the candidate damping coefficient, the candidate moment of inertia and the moment of inertia interval in the computer program according to the operation parameters of the inverter, the rated parameter of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network is executed by the processor, and specifically implements the following steps:
Determining candidate damping coefficients according to the angular frequency variation, the rated angular frequency and the active power variation; determining candidate moment of inertia according to line impedance, operating angular frequency, bridge arm midpoint voltage and actual grid voltage; determining the cut-off frequency of an active loop according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual power grid voltage; and determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
In one embodiment, the code logic in the computer program for determining the target damping coefficient and the target moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval, and an angular parameter of the operating parameters of the inverter, when executed by the processor, performs the steps of:
determining a target damping coefficient and an alternative moment of inertia according to the candidate damping coefficient, the candidate moment of inertia and the angle parameter in the operation parameters of the inverter; and determining the target moment of inertia according to the alternative moment of inertia and the moment of inertia interval.
In one embodiment, this code logic in the computer program for determining the target damping coefficient and the alternative moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, and an angular parameter of the operating parameters of the inverter, when executed by the processor, performs the steps of:
Determining a target damping coefficient according to the angular velocity offset, the candidate damping coefficient and a preset damping coefficient gain; and determining the alternative moment of inertia according to the angular frequency change rate, the candidate moment of inertia and the preset moment of inertia coefficient gain.
In one embodiment, this code logic for determining the target moment of inertia in the computer program based on the candidate moment of inertia and the moment of inertia interval, when executed by the processor, performs the steps of:
taking the alternative damping coefficient as a target moment of inertia when the alternative moment of inertia is in the moment of inertia interval; and under the condition that the alternative moment of inertia is outside the moment of inertia interval, determining the target moment of inertia according to the moment of inertia interval.
In one embodiment, the code logic in the computer program for determining the target moment of inertia based on the moment of inertia intervals, when executed by the processor, performs the steps of:
if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, taking the maximum value of the moment of inertia interval as the target moment of inertia; and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, taking the minimum value of the moment of inertia interval as the target moment of inertia.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
determining candidate damping coefficients, candidate moment of inertia and moment of inertia intervals according to the operation parameters of the inverter, the rated parameters of the inverter, the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network;
determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target rotational inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
In one embodiment, the operating parameters of the virtual synchronous generator include active power variation, operating angular frequency, and bridge arm midpoint voltage; the operation parameters of the inverter comprise an angle parameter and a rated parameter; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; the angle parameters comprise an angular frequency change amount, an angular velocity offset amount and an angular frequency change rate; the nominal parameters include nominal angular frequency and phase margin nominal values.
In one embodiment, the computer program is executed by the processor to determine candidate damping coefficients, candidate moment of inertia and moment of inertia intervals based on the operating parameters of the inverter, the rated parameters of the inverter, the operating parameters of the virtual synchronous generator and the operating parameters of the power distribution network, and specifically implement the steps of:
determining candidate damping coefficients according to the angular frequency variation, the rated angular frequency and the active power variation; determining candidate moment of inertia according to line impedance, operating angular frequency, bridge arm midpoint voltage and actual grid voltage; determining the cut-off frequency of an active loop according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual power grid voltage; and determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
In one embodiment, the computer program is executed by the processor to determine the target damping coefficient and the target moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval, and the angular parameter of the operating parameters of the inverter, by:
determining a target damping coefficient and an alternative moment of inertia according to the candidate damping coefficient, the candidate moment of inertia and the angle parameter in the operation parameters of the inverter; and determining the target moment of inertia according to the alternative moment of inertia and the moment of inertia interval.
In one embodiment, the computer program is executed by the processor to determine the target damping coefficient and the candidate moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, and an angular parameter of the operating parameters of the inverter, by:
determining a target damping coefficient according to the angular velocity offset, the candidate damping coefficient and a preset damping coefficient gain; and determining the alternative moment of inertia according to the angular frequency change rate, the candidate moment of inertia and the preset moment of inertia coefficient gain.
In one embodiment, the computer program is executed by the processor to determine the target moment of inertia based on the candidate moment of inertia and the moment of inertia interval, by:
taking the alternative damping coefficient as a target moment of inertia when the alternative moment of inertia is in the moment of inertia interval; and under the condition that the alternative moment of inertia is outside the moment of inertia interval, determining the target moment of inertia according to the moment of inertia interval.
In one embodiment, the computer program is executed by the processor to determine the target moment of inertia based on the moment of inertia interval, and specifically implement the steps of:
if the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia interval, taking the maximum value of the moment of inertia interval as the target moment of inertia; and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia interval, taking the minimum value of the moment of inertia interval as the target moment of inertia.
The data (including, but not limited to, the operation parameter data of the inverter) related to the application are all data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data are required to meet the related regulations.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method of parameter adjustment, the method comprising:
acquiring operation parameters of an inverter in a power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
according to the operating parameters of the inverter and the rated parameters of the inverter 、 The operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network determine candidate damping coefficients, candidate moment of inertia and moment of inertia intervals;
Determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and adjusting the control loop parameters of the inverter according to the target damping coefficient and the target moment of inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
2. The method of claim 1, wherein the operating parameters of the virtual synchronous generator include active power variance, operating angular frequency, and bridge arm midpoint voltage; the operation parameters of the inverter comprise an angle parameter and a rated parameter; the operation parameters of the power distribution network comprise line impedance and actual power grid voltage; the angle parameters comprise an angular frequency variation, an angular velocity offset and an angular frequency variation rate; the nominal parameters include a nominal angular frequency and a phase margin nominal value.
3. The method according to claim 2, wherein the operating parameters of the inverter, the rated parameters of the inverter 、 The determining the candidate damping coefficient, the candidate moment of inertia and the moment of inertia interval according to the operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network comprises the following steps:
Determining a candidate damping coefficient according to the angular frequency variation, the rated angular frequency and the active power variation;
determining candidate moment of inertia according to the line impedance, the operating angular frequency, the bridge arm midpoint voltage and the actual grid voltage;
determining an active loop cut-off frequency according to the rated angular frequency, the line impedance, the candidate damping coefficient, the bridge arm midpoint voltage and the actual grid voltage;
and determining a moment of inertia interval according to the candidate damping coefficient, the active loop cut-off frequency and the phase margin rated value.
4. The method of claim 2, wherein the determining a target damping coefficient and a target moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval, and an angular parameter of an operating parameter of the inverter comprises:
determining a target damping coefficient and an alternative moment of inertia according to the candidate damping coefficient, the candidate moment of inertia and an angle parameter in the operation parameters of the inverter;
and determining target moment of inertia according to the alternative moment of inertia and the moment of inertia interval.
5. The method of claim 4, wherein the determining a target damping coefficient and an alternative moment of inertia based on the candidate damping coefficient, the candidate moment of inertia, and an angular parameter of an operating parameter of the inverter comprises:
determining a target damping coefficient according to the angular velocity offset, the candidate damping coefficient and a preset damping coefficient gain;
and determining alternative moment of inertia according to the angular frequency change rate, the candidate moment of inertia and a preset moment of inertia coefficient gain.
6. The method of claim 4, wherein the determining the target moment of inertia from the alternative moment of inertia and the moment of inertia interval comprises:
taking the alternative damping coefficient as a target moment of inertia when the alternative moment of inertia is within the moment of inertia interval;
and determining target moment of inertia according to the moment of inertia interval when the alternative moment of inertia is outside the moment of inertia interval.
7. The method of claim 6, wherein determining a target moment of inertia from the moment of inertia interval comprises:
If the alternative moment of inertia is greater than or equal to the maximum value of the moment of inertia section, taking the maximum value of the moment of inertia section as a target moment of inertia;
and if the alternative moment of inertia is smaller than or equal to the minimum value of the moment of inertia section, taking the minimum value of the moment of inertia section as a target moment of inertia.
8. A parameter adjustment device, the device comprising:
the parameter acquisition module is used for acquiring the operation parameters of the inverter in the power distribution network; wherein the inverter is controlled by a virtual synchronous generator;
a first determining module for determining the rated parameters of the inverter according to the operation parameters of the inverter 、 The operation parameters of the virtual synchronous generator and the operation parameters of the power distribution network determine candidate damping coefficients, candidate moment of inertia and moment of inertia intervals;
the second determining module is used for determining a target damping coefficient and a target moment of inertia according to the candidate damping coefficient, the candidate moment of inertia, the moment of inertia interval and the angle parameter in the operation parameters of the inverter;
and the control module is used for adjusting the control loop parameters of the inverter according to the target damping coefficient and the target moment of inertia so as to enable the inverter to be converted from an abnormal operation state to a normal operation state.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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