CN106099946B - The configuration method and system of power grid dynamic reactive capacity - Google Patents
The configuration method and system of power grid dynamic reactive capacity Download PDFInfo
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- CN106099946B CN106099946B CN201610615753.2A CN201610615753A CN106099946B CN 106099946 B CN106099946 B CN 106099946B CN 201610615753 A CN201610615753 A CN 201610615753A CN 106099946 B CN106099946 B CN 106099946B
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Abstract
The present invention relates to the configuration methods and system of a kind of power grid dynamic reactive capacity, the described method includes: voltage and preset normal voltage range according to each destination node after the failure occurred, calculate the corresponding risk factor of a variety of dynamic reactive capacity configuration modes；It is fitted the dynamic reactive power and corresponding risk factor of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes, obtains relationship by objective (RBO) formula；Calculating is optimized to the relationship by objective (RBO) formula according to preset first optimal conditions, obtains the optimal solution of the dynamic reactive capacity of each destination node；According to the dynamic reactive capacity of each destination node described in the optimal solution corresponding configuration of the dynamic reactive capacity of each destination node.The configuration method and system of above-mentioned power grid dynamic reactive capacity, the overall situation considers the risk factor that a variety of dynamic reactive capacity configuration modes cope with various failures, there is general applicability to the various failures that network system is likely to occur, the stability and reliability of power grid can be effectively improved.
Description
Technical field
The present invention relates to distribution technique fields, a kind of configuration method more particularly to power grid dynamic reactive capacity and are
System.
Background technique
In the operation and scheduling of power grid, implement Reactive Power Control, keep certain reactive reserve to be to guarantee that power grid supplies
Electricity quality, the necessary means for preventing power grid generation collapse of voltage accident after by big disturbance or failure impact.Therefore, in electricity
When net operation, need to configure reactive capability to some nodes in network system.
In the prior art, the reactive capability configuration of power grid is static, i.e., mainly for power grid at some time point event
Barrier situation determines a kind of reactive capability configuration mode, and can configure according to determining reactive capability configuration mode in network system
The node of reactive capability carries out reactive capability configuration.However, the disturbance or failure that power grid is subject to have fluctuation in actual conditions
And unpredictability, the reactive capability configuration method of this static state are difficult to persistently protect in power grid when being impacted by different failures
Demonstrate,prove the stable operation of power grid.
Summary of the invention
Based on this, it is necessary to be difficult to hold when power grid is by different disturbances or failure for existing reactive capability configuration mode
The defect of continuation of insurance card power grid operation, provides the configuration method and system of a kind of power grid dynamic reactive capacity.
First aspect of the embodiment of the present invention provides a kind of configuration method of power grid dynamic reactive capacity comprising:
According to the voltage and preset normal voltage range of each destination node after the failure occurred, a variety of dynamic reactives are calculated
The corresponding risk factor of capacity configuration mode；
It is fitted the dynamic reactive power and correspondence of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
Risk factor, obtain relationship by objective (RBO) formula；
Calculating is optimized to the relationship by objective (RBO) formula according to preset first optimal conditions, obtains the dynamic of each destination node
The optimal solution of state reactive capability；
According to the dynamic of each destination node described in the optimal solution corresponding configuration of the dynamic reactive capacity of each destination node
Reactive capability.
In one embodiment, the fitting a variety of dynamic reactive capacity configuration modes corresponding each destination node
Dynamic reactive power and corresponding risk factor, obtain relationship by objective (RBO) formula, comprising:
The second optimal conditions calculation optimization multiplier according to gaussian kernel function and based on the risk factor, wherein the height
The variable of this kernel function includes the dynamic reactive power of each destination node in a variety of dynamic reactive capacity configurations；
Using the optimization multiplier as the coefficient of the gaussian kernel function, the relationship by objective (RBO) formula is obtained.
In one embodiment, the gaussian kernel function isDescribed second is excellent
Change condition isThe optimization multiplier is α=(α1, α2..., αk)；The relationship by objective (RBO) formula is
Wherein, N1For the quantity of a variety of dynamic reactive capacity configuration modes；The D indicates the element of pth row q column
For Dpq=K (xp, xq)ypyqMatrix；The c=(- 1 ..., -1)T, expression line number is N1, columns be 1 matrix；The Aα
=(1,1 ..., 1), indicate that line number is 1, columns N1Matrix；It is describedykIndicate that kth kind is dynamic
The corresponding risk factor of state reactive capability configuration mode； Indicate the dynamic reactive function of n-th of destination node after the failure occurred under kth kind dynamic reactive capacity configuration mode
The maximum value of rate；K=1,2 ..., N1, n=1,2 ..., Nsvc, NsvcFor the quantity of the destination node.
In one embodiment, first optimal conditions areWherein
QsvcFor total dynamic reactive capacity of network system.
In one embodiment, the voltage and preset normal voltage model according to each destination node after the failure occurred
It encloses, calculates the corresponding risk factor of a variety of dynamic reactive capacity configuration modes, comprising:
According to default constraint condition, accounting equationIt obtains
The corresponding risk factor of a variety of dynamic reactive capacity configuration modes
Wherein, the default constraint condition includes system load flow constraint condition, each busbar voltage constraint condition, transmission line
The constraint conditions such as or not phase angle difference constraint condition and control variable；
The risk (k) is the corresponding risk factor of kth kind dynamic reactive capacity configuration mode, the NsvcFor the mesh
Mark the quantity of node；It is describedFor under kth kind dynamic reactive capacity configuration mode, n-th of destination node is sent out in s-th of failure
Voltage after life；It is describedFor the upper voltage limit in the normal voltage range of n-th of destination node；It is describedVn Indicate n-th of mesh
Mark the lower voltage limit in the normal voltage range of node；It is describedWith
In characterization kth kind dynamic reactive capacity configuration mode, whereinIt indicates n-th under kth kind dynamic reactive capacity configuration mode
The maximum value of the dynamic reactive power of a destination node after the failure occurred, n=1,2 ..., Nsvc, NsvcFor the destination node
Quantity.
Second aspect of the embodiment of the present invention provides a kind of configuration system of power grid dynamic reactive capacity comprising:
First computing module, for the voltage and preset normal voltage model according to each destination node after the failure occurred
It encloses, calculates the corresponding risk factor of a variety of dynamic reactive capacity configuration modes；
Fitting module, for being fitted the dynamic nothing of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
Function power and corresponding risk factor, obtain relationship by objective (RBO) formula；
Second computing module, for optimizing calculating to the relationship by objective (RBO) formula according to preset first optimal conditions,
Obtain the optimal solution of the dynamic reactive capacity of each destination node；And
Configuration module, for each mesh according to the optimal solution corresponding configuration of the dynamic reactive capacity of each destination node
Mark the dynamic reactive capacity of node.
In one embodiment, the fitting module includes:
Computing unit, for being multiplied according to gaussian kernel function and the second optimal conditions calculation optimization based on the risk factor
Son, wherein the variable of the gaussian kernel function includes the dynamic of each destination node in a variety of dynamic reactive capacity configurations
State reactive power；And
Obtaining unit, for obtaining the relationship by objective (RBO) using the optimization multiplier as the coefficient of the gaussian kernel function
Formula.
In one embodiment, the gaussian kernel function isDescribed second is excellent
Change condition isThe optimization multiplier is α=(α1, α2..., αk)；The relationship by objective (RBO) formula is
Wherein, N1For the quantity of a variety of dynamic reactive capacity configuration modes；The D indicates the element of pth row q column
For Dpq=K (xp, xq)ypyqMatrix；The c=(- 1 ..., -1)T, expression line number is N1, columns be 1 matrix；The Aα
=(1,1 ..., 1), indicate that line number is 1, columns N1Matrix；It is describedykIndicate that kth kind is dynamic
The corresponding risk factor of state reactive capability configuration mode； Indicate the dynamic reactive function of n-th of destination node after the failure occurred under kth kind dynamic reactive capacity configuration mode
The maximum value of rate；K=1,2 ..., N1, n=1,2 ..., Nsvc, NsvcFor the quantity of the destination node.
In one embodiment, first optimal conditions areIts
Middle QsvcFor total dynamic reactive capacity of network system.
In one embodiment, first computing module is used for:
According to default constraint condition, accounting equationIt obtains
The corresponding risk factor of a variety of dynamic reactive capacity configuration modes
Wherein, the default constraint condition includes system load flow constraint condition, each busbar voltage constraint condition, transmission line
The constraint conditions such as or not phase angle difference constraint condition and control variable；
The risk (k) is the corresponding risk factor of kth kind dynamic reactive capacity configuration mode, the NsvcFor the mesh
Mark the quantity of node；It is describedFor under kth kind dynamic reactive capacity configuration mode, n-th of destination node is sent out in s-th of failure
Voltage after life；It is describedFor the upper voltage limit in the normal voltage range of n-th of destination node；It is describedVn Indicate n-th of mesh
Mark the lower voltage limit in the normal voltage range of node；It is describedWith
In characterization kth kind dynamic reactive capacity configuration mode, whereinIt indicates n-th under kth kind dynamic reactive capacity configuration mode
The maximum value of the dynamic reactive power of a destination node after the failure occurred, n=1,2 ..., Nsvc, NsvcFor the destination node
Quantity.
The configuration method and system of above-mentioned power grid dynamic reactive capacity, it is corresponding according to a variety of dynamic reactive capacity configuration modes
Each destination node dynamic reactive power and risk factor when coping with various failures, fit object relational expression simultaneously asks optimal
Solution is obtained since the optimal solution considers the risk factor that a variety of dynamic reactive capacity configuration modes cope with various failures for the overall situation
, there is general applicability to the various failures that network system is likely to occur, therefore according to the optimal solution to each in network system
The dynamic reactive capacity of destination node is configured, and can utmostly maintain power grid electric when power grid is by different disturbances or failure
The stabilization of pressure, inhibits the fluctuation of network voltage, to effectively improve the stability and reliability of power grid.
Detailed description of the invention
Fig. 1 is the flow diagram of the configuration method of the power grid dynamic reactive capacity of one embodiment of the invention；
Fig. 2 is the flow diagram of the configuration method of the power grid dynamic reactive capacity of another embodiment of the present invention；
Fig. 3 is the modular structure schematic diagram of the configuration system of the power grid dynamic reactive capacity of one embodiment of the invention；And
Fig. 4 is the modular structure schematic diagram of the fitting module of one embodiment of the invention.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing to the present invention
Specific embodiment be described in detail.Many details are explained in the following description in order to fully understand this hair
It is bright.But the invention can be embodied in many other ways as described herein, those skilled in the art can be not
Similar improvement is done in the case where violating intension of the present invention, therefore the present invention is not limited by the specific embodiments disclosed below.
In the description of the present invention, it is to be understood that, term " first ", " second " are used for description purposes only, and cannot
It is interpreted as indication or suggestion relative importance or implicitly indicates the quantity of indicated technical characteristic.Define as a result, " the
One ", the feature of " second " can explicitly or implicitly include at least one of the features.In the description of the present invention, " multiple "
It is meant that at least two, such as two, three etc., unless otherwise specifically defined.
Referring to Fig. 1, Fig. 1 is the process signal of the configuration method of the power grid dynamic reactive capacity of one embodiment of the invention
Figure.As shown in Figure 1, the configuration method of the power grid dynamic reactive capacity can include:
Step 110, the voltage and preset normal voltage range according to each destination node after the failure occurred calculates a variety of
The corresponding risk factor of dynamic reactive capacity configuration mode.
In the present embodiment, destination node is the node that can be configured dynamic reactive capacity, for example including in network system
Reactive power source.
Specifically, the normal voltage range of each destination node in network system can be preset, monitor each in network system
Voltage of the destination node before and after the generation of various failures.Under various dynamic reactive capacity configuration modes, by by each target section
The corresponding normal voltage range of voltage of the point after every kind of failure occurs is compared, and can calculate every kind of dynamic reactive capacity
The corresponding risk factor of configuration mode.
Above-mentioned risk factor can characterize dynamic reactive capacity configuration mode and maintain network voltage steady when coping with various failures
Ability that is fixed, inhibiting voltage ripple of power network.Risk factor is bigger, indicates that dynamic reactive capacity configuration mode inhibits network voltage wave
Dynamic ability is weaker.Wherein, the data of comprehensive multiple failure, if certain dynamic reactive capacity configuration mode is after the failure occurred,
The voltage of each destination node more deviates normal voltage range, then the corresponding risk factor of this kind of dynamic reactive capacity configuration mode is got over
Greatly.
Step 130, it is fitted the dynamic reactive function of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
Rate and corresponding risk factor, obtain relationship by objective (RBO) formula.
Wherein, the dynamic reactive power and step 110 of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
The corresponding risk factor of a variety of dynamic reactive capacity configuration modes being calculated is the discrete numerical value of multiple groups, by right
These discrete numerical value are fitted, and can be obtained for corresponding between expression trend reactive capability configuration mode and risk factor
The relationship by objective (RBO) formula of relationship.
In specific implementation, it can be based on SVC (Support Vector Machines, support vector machines), select suitable core
Function and optimal conditions to the dynamic reactive power of the corresponding each destination node of above-mentioned a variety of dynamic reactive capacity configuration modes and
Corresponding risk factor is fitted.For example, can in a manner of above-mentioned a variety of dynamic reactive capacity configurations corresponding each target section
Variable of the dynamic reactive power as gaussian kernel function of point, the corresponding risk in a manner of above-mentioned a variety of dynamic reactive capacity configurations
Coefficient is fitted as the variable of risk optimization condition.
Step 150, calculating is optimized to the relationship by objective (RBO) formula according to preset first optimal conditions, obtains each target
The optimal solution of the dynamic reactive capacity of node.
In specific implementation, above-mentioned first optimal conditions, which can be, pre-set is matched based on above-mentioned a variety of dynamic reactive capacity
Set the optimal conditions of the corresponding risk factor of mode.Match for example, the first optimal conditions can be above-mentioned a variety of dynamic reactive capacity
Set the sum of the corresponding risk factor of mode minimum.For example, the first optimal conditions can be a variety of dynamic reactive capacity configuration modes
The average value of corresponding risk factor is minimum.For example, the first optimal conditions can be above-mentioned a variety of dynamic reactive capacity configuration sides
The variance of the corresponding risk factor of formula is minimum.
By seeking optimal solution of the above-mentioned relationship by objective (RBO) formula under the first optimal conditions, the dynamic nothing of each destination node can be obtained
The optimal solution of function capacity configuration, is denoted asWhereinTable
Show the optimal solution of the dynamic reactive capacity of destination node 1,Indicate the optimal solution of the dynamic reactive capacity of destination node 2,Indicate destination node NsvcDynamic reactive capacity optimal solution.
Step 170, each target section according to the optimal solution corresponding configuration of the dynamic reactive capacity of each destination node
The dynamic reactive capacity of point.
It, can be according to the optimal solution corresponding configuration power grid system after the optimal solution of dynamic reactive capacity for obtaining each destination node
The dynamic reactive capacity of each destination node in system.
For example, according to the optimal solutionBy the dynamic of destination node 1
State reactive capability is configured toIt is by the dynamic reactive capacity configuration of destination node 2By destination node n's
Dynamic reactive capacity configuration isBy destination node NsvcDynamic reactive capacity configuration be
The configuration method of above-mentioned power grid dynamic reactive capacity, according to the corresponding each mesh of a variety of dynamic reactive capacity configuration modes
Risk factor when marking the dynamic reactive power of node and coping with various failures, fit object relational expression simultaneously seek optimal solution, due to
The optimal solution is that the overall situation considers what the risk factor that a variety of dynamic reactive capacity configuration modes cope with various failures obtained, to electricity
The various failures that net system is likely to occur have general applicability, therefore according to the optimal solution to destination node each in network system
Dynamic reactive capacity configured, can utmostly maintain the steady of network voltage when power grid is by different disturbances or failure
It is fixed, inhibit the fluctuation of network voltage, to effectively improve the stability and reliability of power grid.
In one embodiment, prior to step 110, the total dynamic reactive capacity and electricity that can be can configure according to network system
The quantity of destination node in net system, the dynamic reactive capacity of each destination node of random arrangement obtain a variety of dynamic reactive capacity
Configuration mode.Specifically, every kind of dynamic reactive capacity configuration mode can by this way under the dynamic nothing that issues of each destination node
Function power indicates.
For example, if with QsvcThe configurable total dynamic reactive capacity of network system is indicated, with NsvcIndicate network system
The quantity of middle destination node, with N1Indicate the quantity of above-mentioned a variety of dynamic reactive capacity configuration modes, then kth kind dynamic nothing
Under power capacity amount configuration mode, the maximum value and minimum value of the dynamic reactive power of destination node n after the failure occurred can be distinguished
ForAndWherein k=1,2 ..., N1, n=1,2 ...,
Nsvc.Wherein, the quantity N of above-mentioned a variety of dynamic reactive capacity configuration modes1Can according to the operational capability of system or calculation resources into
Row setting, N1Bigger, i.e., more for the discrete data of fit object relational expression, finally obtained relationship by objective (RBO) formula then more has
Representativeness, but operation is more complicated simultaneously, and the calculation resources consumption of system is also more.For example, N1It may be provided at 8000 to 20000
Between.
In one embodiment, step 110 specifically: according to default constraint condition, accounting equation
Obtain a variety of dynamic reactive capacity configurations
The corresponding risk factor of mode
Wherein, default constraint condition includes system load flow constraint condition, each busbar voltage constraint condition, transmission line phase angle
The constraint conditions such as or not poor constraint condition and control variable；Risk (k) is the corresponding wind of kth kind dynamic reactive capacity configuration mode
Dangerous coefficient, NsvcFor the quantity of destination node；For under kth kind dynamic reactive capacity configuration mode, n-th of destination node exists
Voltage after s-th of failure generation；For the upper voltage limit in the normal voltage range of n-th of destination node；Vn It indicates n-th
Lower voltage limit in the normal voltage range of destination node；For
Dynamic reactive capacity configuration mode is planted after characterization the, whereinIt indicates n-th under kth kind dynamic reactive capacity configuration mode
The maximum value of the dynamic reactive power of a destination node after the failure occurred, n=1,2 ..., Nsvc, NsvcFor the number of destination node
Amount.
Specifically, above system trend constraint condition includes trend constraint condition of the network system under non-faulting stateAnd network system nonserviceable under trend constraint conditionWherein N is the quantity of network system interior joint.
WithIt respectively indicates under kth kind dynamic reactive capacity configuration mode, power grid operates normally and (be in non-faulting state) time
The active and reactive power of point i；WithIt respectively indicates under kth kind dynamic reactive capacity configuration mode, is sent out in failure s
The active and reactive power of raw posterior nodal point i.WithIt is illustrated respectively under kth kind dynamic reactive capacity configuration mode, electricity
The voltage of node i and node j when net operates normally；WithIt is illustrated respectively in kth kind dynamic reactive capacity configuration mode
Under, the voltage of posterior nodal point i and node j occurs in failure s.GijAnd BijRespectively indicate the conductance and electricity between node i and node j
It receives.WithIt respectively indicates under kth kind dynamic reactive capacity configuration mode, power grid is operated normally with after failure s generation, is saved
Phase angle difference between point i and node j.
Specifically, above-mentioned each busbar voltage constraint condition includesWherein,WithVi Respectively indicate section
The upper voltage limit and lower limit of point i,It indicates under kth kind dynamic reactive capacity configuration mode, node i when power grid operates normally
Voltage.
Specifically, above-mentioned transmission line phase angle difference constraint condition includesWherein,Withδij Respectively
Indicate the upper voltage limit and lower limit of the phase angle difference between node i and node j,It indicates in kth kind dynamic reactive capacity configuration
Phase angle difference under mode, when power grid operates normally between node i and node j.
Specifically, the constraint conditions such as or not above-mentioned control variable includeIts
In,WithQi The reactive power upper limit and reactive power lower limit of node i are respectively indicated,WithPi Respectively indicate the active of node i
The upper limit of the power and active power lower limit,WithIt is illustrated respectively under kth kind dynamic reactive capacity configuration mode, power grid is just
The active power and reactive power of node i when often running.WithIt is illustrated respectively in kth kind dynamic reactive capacity configuration
Under mode, power grid operate normally when and failure s generation after destination node n reactive power.Indicate dynamic in kth kind
Under state reactive capability configuration mode, destination node n dynamic reactive power value for issuing after failure s generation.WithIt is illustrated respectively under kth kind dynamic reactive capacity configuration mode, the dynamic reactive that destination node n is issued after a failure
Power maximum value and minimum value.
In one embodiment, as shown in Fig. 2, step 130 can include:
Step 131, the second optimal conditions calculation optimization multiplier according to gaussian kernel function and based on the risk factor,
Described in gaussian kernel function variable include each destination node in a variety of dynamic reactive capacity configurations dynamic nothing
Function power.
Specifically, the gaussian kernel function isSecond optimal conditions areThe optimization multiplier being calculated can be denoted as α=(α1, α2..., αk)。
Step 133, using the optimization multiplier as the coefficient of the gaussian kernel function, the relationship by objective (RBO) formula is obtained.
Specifically, by above-mentioned optimization multiplier α=(α1, α2..., αk) coefficient as above-mentioned gaussian kernel function, it obtains
Relationship by objective (RBO) formula are as follows:
Wherein, N1For the quantity of a variety of dynamic reactive capacity configuration modes；The D indicates the element of pth row q column
For Dpq=K (xp, xq)ypyqMatrix；The c=(- 1 ..., -1)T, expression line number is N1, columns be 1 matrix；The Aα
=(1,1 ..., 1), indicate that line number is 1, columns N1Matrix；It is describedykIndicate that kth kind is dynamic
The corresponding risk factor of state reactive capability configuration mode； Indicate the dynamic reactive function of n-th of destination node after the failure occurred under kth kind dynamic reactive capacity configuration mode
The maximum value of rate；K=1,2 ..., N1, n=1,2 ..., Nsvc, NsvcFor the quantity of the destination node.
In one embodiment, step S150 can specifically: asks relationship by objective (RBO) formula in the first optimal conditions
Under optimal solution
Wherein ykFor the corresponding risk factor of kth kind dynamic reactive capacity configuration mode；QsvcHold for total dynamic reactive of network system
Amount； It indicates the under kth kind dynamic reactive capacity configuration mode
The maximum value of the dynamic reactive power of n destination node after the failure occurred, NsvcFor the quantity of destination node in network system, k
=1,2 ..., N1, n=1,2 ..., Nsvc。
In the present embodiment, using risk factor minimum as the first optimal conditions, the complete of dynamic reactive capacity configuration is acquired
Office optimal solution, configured according to dynamic reactive capacity of the optimal solution to destination node each in network system, can power grid by
To the stabilization for utmostly maintaining network voltage when different disturbances or failure, inhibit the fluctuation of network voltage, to effectively improve
The stability and reliability of power grid.
Fig. 3 is the structural schematic diagram of the configuration system of the power grid dynamic reactive capacity of one embodiment of the invention.Such as Fig. 3 institute
Show, the configuration system of the power grid dynamic reactive capacity can include:
First computing module 310, for according to each destination node voltage after the failure occurred and preset normal voltage
Range calculates the corresponding risk factor of a variety of dynamic reactive capacity configuration modes；
Fitting module 330, for being fitted the dynamic of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
State reactive power and corresponding risk factor, obtain relationship by objective (RBO) formula；
Second computing module 350, based on being optimized according to preset first optimal conditions to the relationship by objective (RBO) formula
It calculates, obtains the optimal solution of the dynamic reactive capacity of each destination node；
Configuration module 370, for according to the optimal solution corresponding configuration of the dynamic reactive capacity of each destination node
The dynamic reactive capacity of each destination node.
In one embodiment, the first computing module 310 can be specifically used for according to default constraint condition,
Accounting equationA variety of dynamic reactives are obtained to hold
Measure the corresponding risk factor of configuration mode
Wherein, the default constraint condition includes system load flow constraint condition, each busbar voltage constraint condition, transmission line
The constraint conditions such as or not phase angle difference constraint condition and control variable；
The risk (k) is the corresponding risk factor of kth kind dynamic reactive capacity configuration mode, the NsvcFor the mesh
Mark the quantity of node；It is describedFor under kth kind dynamic reactive capacity configuration mode, n-th of destination node is sent out in s-th of failure
Voltage after life；It is describedFor the upper voltage limit in the normal voltage range of n-th of destination node；It is describedVn Indicate n-th of mesh
Mark the lower voltage limit in the normal voltage range of node；It is describedWith
In characterization kth kind dynamic reactive capacity configuration mode, whereinIt indicates n-th under kth kind dynamic reactive capacity configuration mode
The maximum value of the dynamic reactive power of a destination node after the failure occurred, n=1,2 ..., Nsvc, NsvcFor the destination node
Quantity.
Specifically, above system trend constraint condition includes trend constraint condition of the network system under non-faulting stateAnd network system nonserviceable under trend constraint conditionWherein N is the quantity of network system interior joint.WithIt respectively indicates under kth kind dynamic reactive capacity configuration mode, power grid operates normally and (be in non-faulting state) Shi Jiediani
Active and reactive power；WithIt respectively indicates under kth kind dynamic reactive capacity configuration mode, after failure s generation
The active and reactive power of node i.WithIt is illustrated respectively under kth kind dynamic reactive capacity configuration mode, power grid is just
The voltage of node i and node j when often running；WithIt is illustrated respectively under kth kind dynamic reactive capacity configuration mode,
The voltage of failure s generation posterior nodal point i and node j.GijAnd BijRespectively indicate the conductance and susceptance between node i and node j.WithIt respectively indicates under kth kind dynamic reactive capacity configuration mode, after power grid normal operation and failure s generation, node i
Phase angle difference between node j.
Specifically, above-mentioned each busbar voltage constraint condition includesWherein,WithVi Respectively indicate section
The upper voltage limit and lower limit of point i,It indicates under kth kind dynamic reactive capacity configuration mode, node i when power grid operates normally
Voltage.
Specifically, above-mentioned transmission line phase angle difference constraint condition includesWherein,Withδij Respectively
Indicate the upper voltage limit and lower limit of the phase angle difference between node i and node j,It indicates in kth kind dynamic reactive capacity configuration
Phase angle difference under mode, when power grid operates normally between node i and node j.
Specifically, the constraint conditions such as or not above-mentioned control variable includeIts
In,WithQi The reactive power upper limit and reactive power lower limit of node i are respectively indicated,WithPi Respectively indicate the active of node i
The upper limit of the power and active power lower limit,WithIt is illustrated respectively under kth kind dynamic reactive capacity configuration mode, power grid is just
The active power and reactive power of node i when often running.WithIt is illustrated respectively in kth kind dynamic reactive capacity configuration
Under mode, power grid operate normally when and failure s generation after destination node n reactive power.Indicate dynamic in kth kind
Under state reactive capability configuration mode, destination node n dynamic reactive power value for issuing after failure s generation.WithIt is illustrated respectively under kth kind dynamic reactive capacity configuration mode, the dynamic reactive that destination node n is issued after a failure
Power maximum value and minimum value.
In one embodiment, as shown in figure 4, fitting module 330 may include computing unit 331 and obtaining unit 333,
In:
Computing unit 331 is used for according to gaussian kernel function and the second optimal conditions calculation optimization based on the risk factor
Multiplier, wherein the variable of the gaussian kernel function includes each destination node in a variety of dynamic reactive capacity configurations
Dynamic reactive power.
Obtaining unit 333 is used for the coefficient using the optimization multiplier as the gaussian kernel function, obtains the target and closes
It is formula.
Specifically, above-mentioned gaussian kernel function can beSecond optimal conditions areOptimization multiplier is α=(α1, α2..., αk)；Relationship by objective (RBO) formula is
Wherein, N1For the quantity of a variety of dynamic reactive capacity configuration modes；D indicates that the element of pth row q column is Dpq=K
(xp, xq)ypyqMatrix；C=(- 1 ..., -1)T, expression line number is N1, columns be 1 matrix；Aα=(1,1 ..., 1), table
Show that line number is 1, columns N1Matrix；ykIndicate that kth kind dynamic reactive capacity configuration mode is corresponding
Risk factor； Indicate the dynamic reactive capacity configuration of kth kind
The maximum value of the dynamic reactive power of n-th of destination node after the failure occurred under mode；K=1,2 ..., N1, n=1,
2 ..., Nsvc, NsvcFor the quantity of destination node.
In one embodiment, above-mentioned first optimal conditions areWherein
QsvcFor total dynamic reactive capacity of network system.
The configuration system of above-mentioned power grid dynamic reactive capacity, according to the corresponding each mesh of a variety of dynamic reactive capacity configuration modes
Risk factor when marking the dynamic reactive power of node and coping with various failures, fit object relational expression simultaneously seek optimal solution, due to
The optimal solution is that the overall situation considers what the risk factor that a variety of dynamic reactive capacity configuration modes cope with various failures obtained, to electricity
The various failures that net system is likely to occur have general applicability, therefore according to the optimal solution to destination node each in network system
Dynamic reactive capacity configured, can utmostly maintain the steady of network voltage when power grid is by different disturbances or failure
It is fixed, inhibit the fluctuation of network voltage, to effectively improve the stability and reliability of power grid.
It should be noted that included modules are only drawn according to function logic in the above system embodiment
Point, but be not limited to the above division, as long as corresponding functions can be realized；In addition, each functional module is specific
Title is also only for convenience of distinguishing each other, the protection scope being not intended to restrict the invention.
In addition, those of ordinary skill in the art will appreciate that realizing all or part of the steps in the various embodiments described above method
It is that relevant hardware can be instructed to complete by program, corresponding program can store in read/write memory medium.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention
Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (6)
1. a kind of configuration method of power grid dynamic reactive capacity characterized by comprising
According to the voltage and preset normal voltage range of each destination node after the failure occurred, a variety of dynamic reactive capacity are calculated
The corresponding risk factor of configuration mode；
It is fitted the dynamic reactive power and corresponding wind of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
Dangerous coefficient obtains relationship by objective (RBO) formula；
Calculating is optimized to the relationship by objective (RBO) formula according to preset first optimal conditions, obtains the dynamic nothing of each destination node
The optimal solution of power capacity amount；And
According to the dynamic reactive of each destination node described in the optimal solution corresponding configuration of the dynamic reactive capacity of each destination node
Capacity；First optimal conditions are the optimization item based on the corresponding risk factor of a variety of dynamic reactive capacity configuration modes
Part；
The dynamic reactive power and correspondence for being fitted the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
Risk factor, obtain relationship by objective (RBO) formula, comprising:
The second optimal conditions calculation optimization multiplier according to gaussian kernel function and based on the risk factor, wherein the Gaussian kernel
The variable of function includes the dynamic reactive power of each destination node in a variety of dynamic reactive capacity configurations；And
Using the optimization multiplier as the coefficient of the gaussian kernel function, the relationship by objective (RBO) formula is obtained；
The gaussian kernel function is
Second optimal conditions areThe optimization multiplier is α=(α1,α2,...,αk)；The mesh
Marking relational expression is
Wherein, N1For the quantity of a variety of dynamic reactive capacity configuration modes；The D indicates that the element of pth row q column is Dpq
=K (xp,xq)ypyqMatrix；The c=(- 1 ..., -1)T, expression line number is N1, columns be 1 matrix；The Aα=(1,
1 ..., 1), indicate that line number is 1, columns N1Matrix；It is describedykIndicate kth kind dynamic reactive
The corresponding risk factor of capacity configuration mode； Table
Show the maximum value of the dynamic reactive power of n-th of destination node after the failure occurred under kth kind dynamic reactive capacity configuration mode；
K=1,2 ..., N1, n=1,2 ..., Nsvc, NsvcFor the quantity of the destination node；xkHold for characterizing kth kind dynamic reactive
Measure configuration mode, xpFor characterizing pth kind dynamic reactive capacity configuration mode, xqFor characterizing the dynamic reactive capacity configuration of q kind
Mode；ypIndicate the corresponding risk factor of pth kind dynamic reactive capacity configuration mode, yqIndicate q kind dynamic reactive capacity configuration
The corresponding risk factor of mode.
2. the configuration method of power grid dynamic reactive capacity according to claim 1, which is characterized in that the first optimization item
Part isWherein QsvcFor total dynamic reactive capacity of network system.
3. the configuration method of power grid dynamic reactive capacity according to claim 1, which is characterized in that described according to each target
The voltage and preset normal voltage range of node after the failure occurred, it is right respectively to calculate a variety of dynamic reactive capacity configuration modes
The risk factor answered, comprising:
According to default constraint condition, accounting equationObtain institute
State the corresponding risk factor of a variety of dynamic reactive capacity configuration modes
Wherein, the default constraint condition includes system load flow constraint condition, each busbar voltage constraint condition, transmission line phase angle
The constraint conditions such as or not poor constraint condition and control variable；
The risk (k) is the corresponding risk factor of kth kind dynamic reactive capacity configuration mode, the NsvcFor the target section
The quantity of point；It is describedFor under kth kind dynamic reactive capacity configuration mode, n-th of destination node is after s-th of failure occurs
Voltage；It is describedFor the upper voltage limit in the normal voltage range of n-th of destination node；It is describedVn Indicate n-th of target section
Lower voltage limit in the normal voltage range of point；It is describedFor table
Kth kind dynamic reactive capacity configuration mode is levied, whereinIndicate n-th of mesh under kth kind dynamic reactive capacity configuration mode
Mark the maximum value of the dynamic reactive power of node after the failure occurred, n=1,2 ..., Nsvc, NsvcFor the number of the destination node
Amount；ykIndicate the corresponding risk factor of kth kind dynamic reactive capacity configuration mode.
4. a kind of configuration system of power grid dynamic reactive capacity characterized by comprising
First computing module, for the voltage and preset normal voltage range according to each destination node after the failure occurred, meter
Calculate the corresponding risk factor of a variety of dynamic reactive capacity configuration modes；
Fitting module, for being fitted the dynamic reactive function of the corresponding each destination node of a variety of dynamic reactive capacity configuration modes
Rate and corresponding risk factor, obtain relationship by objective (RBO) formula；
Second computing module is obtained for optimizing calculating to the relationship by objective (RBO) formula according to preset first optimal conditions
The optimal solution of the dynamic reactive capacity of each destination node；And
Configuration module, for each target section according to the optimal solution corresponding configuration of the dynamic reactive capacity of each destination node
The dynamic reactive capacity of point；First optimal conditions are based on the corresponding risk of a variety of dynamic reactive capacity configuration modes
The optimal conditions of coefficient；
The fitting module includes:
Computing unit, for the second optimal conditions calculation optimization multiplier according to gaussian kernel function and based on the risk factor,
Wherein the variable of the gaussian kernel function includes the dynamic of each destination node in a variety of dynamic reactive capacity configurations
Reactive power；And
Obtaining unit, for obtaining the relationship by objective (RBO) formula using the optimization multiplier as the coefficient of the gaussian kernel function；
The gaussian kernel function isSecond optimal conditions are
The optimization multiplier is α=(α1,α2,...,αk)；The relationship by objective (RBO) formula is
Wherein, N1For the quantity of a variety of dynamic reactive capacity configuration modes；The D indicates that the element of pth row q column is Dpq
=K (xp,xq)ypyqMatrix；The c=(- 1 ..., -1)T, expression line number is N1, columns be 1 matrix；The Aα=(1,
1 ..., 1), indicate that line number is 1, columns N1Matrix；It is describedykIndicate kth kind dynamic nothing
The corresponding risk factor of power capacity amount configuration mode； Table
Show the maximum value of the dynamic reactive power of n-th of destination node after the failure occurred under kth kind dynamic reactive capacity configuration mode；
K=1,2 ..., N1, n=1,2 ..., Nsvc, NsvcFor the quantity of the destination node；xkHold for characterizing kth kind dynamic reactive
Measure configuration mode, xpFor characterizing pth kind dynamic reactive capacity configuration mode, xqFor characterizing the dynamic reactive capacity configuration of q kind
Mode；ypIndicate the corresponding risk factor of pth kind dynamic reactive capacity configuration mode, yqIndicate q kind dynamic reactive capacity configuration
The corresponding risk factor of mode.
5. the configuration system of power grid dynamic reactive capacity according to claim 4, which is characterized in that the first optimization item
Part isWherein QsvcFor total dynamic reactive capacity of network system.
6. the configuration system of power grid dynamic reactive capacity according to claim 4, which is characterized in that described first calculates mould
Block is used for:
According to default constraint condition, accounting equationObtain institute
State the corresponding risk factor of a variety of dynamic reactive capacity configuration modes
Wherein, the default constraint condition includes system load flow constraint condition, each busbar voltage constraint condition, transmission line phase angle
The constraint conditions such as or not poor constraint condition and control variable；
The risk (k) is the corresponding risk factor of kth kind dynamic reactive capacity configuration mode, the NsvcFor the target section
The quantity of point；It is describedFor under kth kind dynamic reactive capacity configuration mode, n-th of destination node is after s-th of failure occurs
Voltage；It is describedFor the upper voltage limit in the normal voltage range of n-th of destination node；It is describedVn Indicate n-th of target section
Lower voltage limit in the normal voltage range of point；It is describedFor table
Kth kind dynamic reactive capacity configuration mode is levied, whereinIndicate n-th of mesh under kth kind dynamic reactive capacity configuration mode
Mark the maximum value of the dynamic reactive power of node after the failure occurred, n=1,2 ..., Nsvc, NsvcFor the number of the destination node
Amount；ykIndicate the corresponding risk factor of kth kind dynamic reactive capacity configuration mode.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2093855A2 (en) * | 2008-02-25 | 2009-08-26 | General Electric Company | Systems and methods of dynamic reactive voltage support for a power transmission system |
| CN103124075A (en) * | 2013-03-20 | 2013-05-29 | 东南大学 | Reactive power configuration method for wind power base |
| CN103795068A (en) * | 2014-03-05 | 2014-05-14 | 广东电网公司电力调度控制中心 | Optimal configuration method for high-voltage distribution network dynamic reactive power compensation equipment capacity |
| CN106099946A (en) * | 2016-07-28 | 2016-11-09 | 广东电网有限责任公司电力调度控制中心 | The collocation method of electrical network dynamic reactive capacity and system |
-
2016
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2093855A2 (en) * | 2008-02-25 | 2009-08-26 | General Electric Company | Systems and methods of dynamic reactive voltage support for a power transmission system |
| CN103124075A (en) * | 2013-03-20 | 2013-05-29 | 东南大学 | Reactive power configuration method for wind power base |
| CN103795068A (en) * | 2014-03-05 | 2014-05-14 | 广东电网公司电力调度控制中心 | Optimal configuration method for high-voltage distribution network dynamic reactive power compensation equipment capacity |
| CN106099946A (en) * | 2016-07-28 | 2016-11-09 | 广东电网有限责任公司电力调度控制中心 | The collocation method of electrical network dynamic reactive capacity and system |
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Effective date of registration: 20210726 Address after: 510699 No. 75 Meihua Road, Yuexiu District, Guangzhou City, Guangdong Province Patentee after: ELECTRIC POWER DISPATCHING CONTROL CENTER OF GUANGDONG POWER GRID Co.,Ltd. Address before: 510699 No. 75 Meihua Road, Yuexiu District, Guangzhou City, Guangdong Province Patentee before: ELECTRIC POWER DISPATCHING CONTROL CENTER OF GUANGDONG POWER GRID Co.,Ltd. Patentee before: BEIJING KING STAR HI-TECH SYSTEM CONTROL Co.,Ltd. |