CN110994619A - Emergency command-oriented cross-regional power grid integrated automatic power dispatching system - Google Patents

Emergency command-oriented cross-regional power grid integrated automatic power dispatching system Download PDF

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CN110994619A
CN110994619A CN201910967280.6A CN201910967280A CN110994619A CN 110994619 A CN110994619 A CN 110994619A CN 201910967280 A CN201910967280 A CN 201910967280A CN 110994619 A CN110994619 A CN 110994619A
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刘勤
杨可
胡翔
卿泉
杨洋
鲁功强
白江
石千
张�杰
吴星
李凌川
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Abstract

The invention relates to the technical field of power grid dispatching, in particular to an emergency command-oriented cross-regional power grid integrated automatic power dispatching system. The system comprises a power dispatching transmission model module, a power dispatching statistical analysis module, a power dispatching balance configuration module and a power dispatching information fusion and optimization output module, wherein a power dispatching output link balance configuration model is established, cross-region power grid integrated information fusion processing is realized by adopting a space region recombination method, and a cross-region power grid integrated power automatic dispatching load balance design is carried out by adopting a self-adaptive link balance configuration method according to an information fusion result, so that the load balance and dispatching information fusion of cross-region power grid integrated power automatic dispatching are improved, the management mode of power grid dispatching is perfected, the management level of power grid dispatching is improved, and the safe and stable operation of a power system can be guaranteed.

Description

Emergency command-oriented cross-regional power grid integrated automatic power dispatching system
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to an emergency command-oriented cross-regional power grid integrated automatic power dispatching system.
Background
With the rapid development of the cross-regional power network laying, the service and power load borne by the cross-regional power grid become larger and larger, the cross-regional power grid integrated power automatic scheduling design is required, the emergency command capability of power network scheduling and maintenance is improved, the cross-regional power grid integrated power automatic scheduling design is carried out under the condition facing the emergency command, a transmission channel model of the cross-regional power grid integrated power automatic scheduling is constructed by combining a load balancing configuration method and a network balancing control method, the cross-regional power grid integrated power automatic scheduling capability is improved according to the channel balancing configuration result of the cross-regional power grid integrated power automatic scheduling, the power transmission load is optimized, and the stability of the power grid is improved. The research on the cross-regional power grid integrated automatic power dispatching method is of great significance in the aspects of optimizing the design and management of the power grid, and the research on the related cross-regional power grid integrated automatic power dispatching design method is paid attention by people.
Aiming at the problems, the invention provides an emergency command-oriented cross-regional power grid integrated automatic power dispatching system.
Disclosure of Invention
The invention aims to provide an emergency command-oriented cross-regional power grid integrated automatic power dispatching system, which can be used for perfecting the management of power grid dispatching and ensuring the safe and stable operation of a power system.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides an emergency command-oriented cross-regional power grid integrated automatic power scheduling system, which includes a power scheduling transmission model module, a power scheduling statistical analysis module, a power scheduling equalization configuration module, and a power scheduling information fusion and optimization output module;
the power dispatching transmission model module is used for establishing a load balance control model containing cross-regional power grid transmission flow control, performing classification balance control on power grid dispatching by adopting an SVM (support vector machine) model, realizing transmission flow estimation of cross-regional power grid integrated power loads by combining a principal component analysis method in the SVM model, and sending a transmission flow estimation result to the power dispatching statistical analysis module;
the power dispatching statistical analysis module further performs cross-regional power grid integrated power load statistical analysis by using a transmission flow estimation result of the power dispatching transmission model module, performs balanced configuration of the power dispatching model by combining with regional statistical analysis, and sends balanced configuration information to the power dispatching balanced configuration module;
the power dispatching equilibrium configuration module utilizes equilibrium configuration information of the power dispatching statistical analysis module, adopts a space region recombination method to realize cross-region power grid integration information fusion processing, and sends a power grid integration information fusion processing result to the power dispatching information fusion and optimization output module;
the power dispatching information fusion and optimization output module utilizes the power grid integration information fusion processing result of the power dispatching equilibrium configuration module and adopts a self-adaptive link equilibrium configuration method to carry out weighted smoothing processing and accurate dispatching prediction according to the power grid integration information fusion processing result.
Preferably, the specific working content of the power scheduling transmission model module includes establishing a load balancing control model including cross-region power grid transmission flow control, performing classification balancing control on power grid scheduling by adopting an SVM model, and realizing transmission flow estimation of the cross-region power grid integrated power load by combining a principal component analysis method in the SVM model; the method comprises the following specific steps:
estimating the power load of the integrated power grid across regions and establishing the power load by adopting a statistical analysis method, and carrying out balanced configuration on a power dispatching model by combining a regional statistical analysis method, wherein a sample sequence expression of the integrated dispatching of the power grid across regions is as follows:
U={U1,U2,…,UN} (1)
wherein U isiFor the integrated electric power automatic scheduling random variable with d dimension, each integrated electric power automatic scheduling random variable UiIndependent from each other, a multipath cross-regional power grid integrated power automatic scheduling information model is recombined by adopting an autocorrelation matched filtering detection technology, a parameter model of power scheduling is constructed by combining a peak value scheduling method, and under an emergency command mode, a statistical probability density function of the increase rate of cross-regional power grid integrated scheduling is expressed as follows:
Figure BDA0002230900350000031
Figure BDA0002230900350000032
before modeling, gain of a cross-regional power grid integrated power dispatching transmission channel is obtained by adopting a spread spectrum coding modulation method, statistical average analysis is carried out by combining a channel equalization configuration method, natural logarithmic transformation is carried out on variable data, and the cross-regional power grid transmission peak fluctuation data X for emergency command meets the overall distribution of the standard and is recorded as X-Sα(sigma, β, mu), performing multipath cross-region power grid integrated electric power automatic dispatching signal analysis, and obtaining a cross-region power grid integrated electric power automatic dispatching transmission model by adopting a root-mean-square inspection and a co-integration inspection method as follows:
Figure BDA0002230900350000033
the expression of the above formula is a trans-regional power grid integrated power load fluctuation model containing trans-regional power grid flow, trans-regional power grid signal strength and 3 endogenous variables of the power load, and the expression of the obtained model is as follows:
Figure BDA0002230900350000034
wherein N is 1,2, …, N, vi(x) And (3) performing balanced configuration of cross-regional power grid integrated power transmission scheduling for a k-dimensional internal variable by adopting a segmented balance control method.
Preferably, the specific work content of the power scheduling statistical analysis module includes,
in cross-regional power grid integrated power load associated parameter estimation, a one-dimensional number vector X is obtained for m in the growth ratenThe bandwidth of the cross-regional power grid integrated power automatic scheduling output channel is expressed as follows:
Figure BDA0002230900350000041
in the formula, N is the number of transmission channel paths, tau, of the integrated power dispatching transmission channel of the trans-regional power gridiAnd aiRespectively is the time delay and the envelope amplitude, w of the ith cross-regional power grid integrated electric power automatic dispatching pathcThe process loss rate of power transmission is X for the modulation weight of power automatic schedulingη(n)And therefore, an expected equation capable of influencing the integrated power load of the cross-regional power grid is constructed:
Figure BDA0002230900350000042
assuming that N cluster head nodes exist in the power network, a node energy consumption factor matrix BN x 1 is constructed,
BN×1=SN×L·TL×1(8)
assume that each node b of the integrated power automatic dispatching of the cross-regional power gridiThe log-likelihood function of the detected channel in the channel is:
Figure BDA0002230900350000043
under the influence of peak value factors, the obtained cross-regional power grid loss statistical value is as follows:
Figure BDA0002230900350000051
under the non-Gaussian noise environment, a multi-path channel of the integrated power automatic scheduling of the cross-regional power grid has a discrete characteristic, an integral cross term is constructed for balanced configuration, and a load output term of the power scheduling is represented as:
Figure BDA0002230900350000052
Figure BDA0002230900350000053
because the signal intensity of the cross-regional power grid and the power load influence each other, under the constraint of maximum power gain, the peak value correlation prediction objective function of power dispatching is as follows:
Figure BDA0002230900350000054
in the above formula, Kα-1(w) outputting frequency information for the phase locked loop;
Figure BDA0002230900350000055
is the weighted sum of the commutation currents of the grid,
Figure BDA0002230900350000056
to regulate the AC bus voltage; w is aαFor each controller parameter weight vector, u is the peak exponent and the cross-regionThe power grid signal relation mean vector is sigma of a covariance matrix; by carrying out balanced configuration on power dispatching on LCC phase-locked loop gain prediction, the interference dynamic model ln | omega | is minimized, the coordination control processing between the STATCOM and the LCC can be realized, and the precision of power dispatching is improved.
Preferably, specific working contents of the power dispatching equilibrium configuration module include that a space region recombination method is adopted to realize cross-region power grid integration information fusion processing, K input sample data sets are given, and { x }i,yi1,2, …, k, wherein k represents the distribution sample number of the AC bus voltage, and historical data of the tested AC bus voltage
Figure BDA0002230900350000057
In the alternating current filter S, the maximum load of the trans-regional power grid integrated power load is obtained, and if the maximum load is greater than 0, the fact that the trans-regional power grid integrated power load sequence has a nonlinear characteristic is checked; according to the F test and channel equalization result of the scheduling information, in order to increase the system transmission power level, X is usedmPerforming cascade filtering processing on the central point, wherein the nearest neighbor point is XkThe system resonant frequency distribution is:
dm(0)=||Xm-Xk|| (14)
the method comprises the following steps of carrying out balance configuration on power transmission scheduling by adopting a continuous filtering method for higher harmonics to obtain a balance predicted value of power transmission scheduling at the time of n + m + k (k is larger than 0), wherein the balance predicted value represents a gain index of multi-load inductive coupling power transmission, and the formula is as follows:
Figure BDA0002230900350000061
in the above formula, Xm+1Modulation component x (t)n+1) Unknown, through integrated power transmission scheduling, making the fundamental current pass through without loss, then:
Figure BDA0002230900350000062
in the above formula, dm(0) Representing series capacitance compensated impulse response, Xm+1(i) Load balance, X, representing cross-regional grid flowk+1(i) Representing the number of samples; and realizing the cross-regional power grid integrated information fusion processing by adopting a spatial region recombination method, and performing weighted smoothing processing and accurate scheduling prediction by adopting a self-adaptive link balance configuration method according to the information fusion result.
Preferably, the specific work content of the power dispatching information fusion and optimization output module includes that a self-adaptive link balance configuration method is adopted to perform load balance design of cross-regional power grid integrated power automatic dispatching, and a calculation formula for obtaining a characteristic prediction quantity and a measurement value of power dispatching is as follows:
Figure BDA0002230900350000071
Figure BDA0002230900350000072
under the condition that the power distribution of a plurality of output modules is unbalanced, the detection objective functions A and M are obtained through emergency command scheduling and respectively are as follows:
A=(2-1,2-2,…,2-p,2-p+1) (19)
M=(1,0,…,0)p(20)
a parallel current balance control strategy is introduced for carrying out scheduling balance detection, a self-adaptive link balance configuration method is adopted for carrying out load balance design of cross-regional power grid integrated power automatic scheduling according to an information fusion result, and an optimal matching strategy P output by a scheduling node i is adoptedi *By analogy, the calculation can be carried out
Figure BDA0002230900350000073
Figure BDA0002230900350000074
After being filtered by a rectifier bridge, the random probability density characteristic score of balanced scheduling is obtainedDistributing attributes, and comparing the central expansibility of the whole network standardized scheduling under the dominant mode to obtain a comprehensive scheduling function meeting the following requirements:
Figure BDA0002230900350000075
under a subnet standardization protocol, a central function of the degree of integrated electric power automatic dispatching of the high-span regional power grid is obtained as follows:
Figure BDA0002230900350000076
let v beQ∈GZaAnd carrying out linearization processing on the corrected state space equation, wherein the linearization processing comprises the following steps:
Figure BDA0002230900350000081
Figure BDA0002230900350000082
further, an additional damping coordination control method is used for suppressing interference nodes, and finally, an optimized scheduling model is obtained as follows:
Figure BDA0002230900350000083
Figure BDA0002230900350000084
b≤s≤u
var:s (25)。
on the other hand, the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the cross-regional power grid integrated automatic power dispatching system facing the emergency command is realized.
In another aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the emergency command-oriented cross-regional power grid integrated automatic power dispatching system.
The invention has the advantages that through the emergency command-oriented cross-regional power grid integrated electric power automatic dispatching system, the cross-regional power grid integrated electric power transmission data reconstruction is carried out by adopting a big data information recombination method, the balanced configuration of the cross-regional power grid integrated electric power transmission dispatching is carried out by adopting a subsection balanced control method, an output link balanced configuration model of the electric power dispatching is established, the cross-regional power grid integrated information fusion processing is realized by adopting a space region recombination method, according to the information fusion result, a self-adaptive link balance configuration method is adopted to carry out load balance design of cross-regional power grid integrated power automatic scheduling, so that the load balance and scheduling information fusion of the cross-regional power grid integrated power automatic scheduling are improved, the management mode of power grid scheduling is perfected, the management level of power grid scheduling is improved, and the safe and stable operation of a power system can be guaranteed.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a schematic structural diagram of an emergency command-oriented cross-regional power grid integrated automatic power dispatching system provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic structural diagram of an emergency command oriented cross-regional power grid integrated automatic power dispatching system provided in the present invention. In a first aspect, an embodiment of the invention provides an emergency command-oriented cross-regional power grid integrated automatic power dispatching system, which comprises a power dispatching transmission model module, a power dispatching statistical analysis module, a power dispatching equilibrium configuration module and a power dispatching information fusion and optimization output module;
the power dispatching transmission model module is used for establishing a load balance control model containing cross-regional power grid transmission flow control, performing classification balance control on power grid dispatching by adopting an SVM (support vector machine) model, realizing transmission flow estimation of cross-regional power grid integrated power loads by combining a principal component analysis method in the SVM model, and sending a transmission flow estimation result to the power dispatching statistical analysis module;
the power dispatching statistical analysis module further performs cross-regional power grid integrated power load statistical analysis by using a transmission flow estimation result of the power dispatching transmission model module, performs balanced configuration of the power dispatching model by combining with regional statistical analysis, and sends balanced configuration information to the power dispatching balanced configuration module;
the power dispatching equilibrium configuration module utilizes equilibrium configuration information of the power dispatching statistical analysis module, adopts a space region recombination method to realize cross-region power grid integration information fusion processing, and sends a power grid integration information fusion processing result to the power dispatching information fusion and optimization output module;
the power dispatching information fusion and optimization output module utilizes the power grid integration information fusion processing result of the power dispatching equilibrium configuration module and adopts a self-adaptive link equilibrium configuration method to carry out weighted smoothing processing and accurate dispatching prediction according to the power grid integration information fusion processing result.
Preferably, the specific working content of the power scheduling transmission model module includes establishing a load balancing control model including cross-region power grid transmission flow control, performing classification balancing control on power grid scheduling by adopting an SVM model, and realizing transmission flow estimation of the cross-region power grid integrated power load by combining a principal component analysis method in the SVM model; the method comprises the following specific steps:
estimating the power load of the integrated power grid across regions and establishing the power load by adopting a statistical analysis method, and carrying out balanced configuration on a power dispatching model by combining a regional statistical analysis method, wherein a sample sequence expression of the integrated dispatching of the power grid across regions is as follows:
U={U1,U2,…,UN} (1)
wherein U isiFor the integrated electric power automatic scheduling random variable with d dimension, each integrated electric power automatic scheduling random variable UiIndependent from each other, a multipath cross-regional power grid integrated power automatic scheduling information model is recombined by adopting an autocorrelation matched filtering detection technology, a parameter model of power scheduling is constructed by combining a peak value scheduling method, and under an emergency command mode, a statistical probability density function of the increase rate of cross-regional power grid integrated scheduling is expressed as follows:
Figure BDA0002230900350000101
Figure BDA0002230900350000111
before modeling, gain of a cross-regional power grid integrated power dispatching transmission channel is obtained by adopting a spread spectrum coding modulation method, statistical average analysis is carried out by combining a channel equalization configuration method, natural logarithmic transformation is carried out on variable data, and the cross-regional power grid transmission peak fluctuation data X for emergency command meets the overall distribution of the standard and is recorded as X-Sα(sigma, β, mu), performing multipath cross-region power grid integrated electric power automatic dispatching signal analysis, and obtaining a cross-region power grid integrated electric power automatic dispatching transmission model by adopting a root-mean-square inspection and a co-integration inspection method as follows:
Figure BDA0002230900350000112
the expression of the above formula is a trans-regional power grid integrated power load fluctuation model containing trans-regional power grid flow, trans-regional power grid signal strength and 3 endogenous variables of the power load, and the expression of the obtained model is as follows:
Figure BDA0002230900350000113
wherein N is 1,2, …, N, vi(x) And (3) performing balanced configuration of cross-regional power grid integrated power transmission scheduling for a k-dimensional internal variable by adopting a segmented balance control method.
Preferably, the specific work content of the power scheduling statistical analysis module includes,
in cross-regional power grid integrated power load associated parameter estimation, a one-dimensional number vector X is obtained for m in the growth ratenThe bandwidth of the cross-regional power grid integrated power automatic scheduling output channel is expressed as follows:
Figure BDA0002230900350000121
in the formula, N is the number of transmission channel paths, tau, of the integrated power dispatching transmission channel of the trans-regional power gridiAnd aiRespectively is the time delay and the envelope amplitude, w of the ith cross-regional power grid integrated electric power automatic dispatching pathcThe process loss rate of power transmission is X for the modulation weight of power automatic schedulingη(n)And therefore, an expected equation capable of influencing the integrated power load of the cross-regional power grid is constructed:
Figure BDA0002230900350000122
assuming that N cluster head nodes exist in the power network, a node energy consumption factor matrix BN x 1 is constructed,
BN×1=SN×L·TL×1(8)
assume that each node b of the integrated power automatic dispatching of the cross-regional power gridiIn the channel, the detected channelThe log-likelihood function of (a) is:
Figure BDA0002230900350000123
under the influence of peak value factors, the obtained cross-regional power grid loss statistical value is as follows:
Figure BDA0002230900350000124
under the non-Gaussian noise environment, a multi-path channel of the integrated power automatic scheduling of the cross-regional power grid has a discrete characteristic, an integral cross term is constructed for balanced configuration, and a load output term of the power scheduling is represented as:
Figure BDA0002230900350000131
Figure BDA0002230900350000132
because the signal intensity of the cross-regional power grid and the power load influence each other, under the constraint of maximum power gain, the peak value correlation prediction objective function of power dispatching is as follows:
Figure BDA0002230900350000133
in the above formula, Kα-1(w) outputting frequency information for the phase locked loop;
Figure BDA0002230900350000134
is the weighted sum of the commutation currents of the grid,
Figure BDA0002230900350000135
to regulate the AC bus voltage; w is aαU is a peak value index and cross-regional power grid signal relation mean vector, and sigma is a covariance matrix; the balanced configuration of power dispatching is carried out by predicting the gain of the LCC phase-locked loop, so that the dynamic mode of interference is realizedThe minimization of the type ln | ω | can realize the coordination control processing between the STATCOM and the LCC, and improve the accuracy of power dispatching.
Preferably, specific working contents of the power dispatching equilibrium configuration module include that a space region recombination method is adopted to realize cross-region power grid integration information fusion processing, K input sample data sets are given, and { x }i,yi1,2, …, k, wherein k represents the distribution sample number of the AC bus voltage, and historical data of the tested AC bus voltage
Figure BDA0002230900350000136
In the alternating current filter S, the maximum load of the trans-regional power grid integrated power load is obtained, and if the maximum load is greater than 0, the fact that the trans-regional power grid integrated power load sequence has a nonlinear characteristic is checked; according to the F test and channel equalization result of the scheduling information, in order to increase the system transmission power level, X is usedmPerforming cascade filtering processing on the central point, wherein the nearest neighbor point is XkThe system resonant frequency distribution is:
dm(0)=||Xm-Xk|| (14)
the method comprises the following steps of carrying out balance configuration on power transmission scheduling by adopting a continuous filtering method for higher harmonics to obtain a balance predicted value of power transmission scheduling at the time of n + m + k (k is larger than 0), wherein the balance predicted value represents a gain index of multi-load inductive coupling power transmission, and the formula is as follows:
Figure BDA0002230900350000141
in the above formula, Xm+1Modulation component x (t)n+1) Unknown, through integrated power transmission scheduling, making the fundamental current pass through without loss, then:
Figure BDA0002230900350000142
in the above formula, dm(0) Representing series capacitance compensated impulse response, Xm+1(i) Load balance degree representing cross-regional power grid flow,Xk+1(i) Representing the number of samples; and realizing the cross-regional power grid integrated information fusion processing by adopting a spatial region recombination method, and performing weighted smoothing processing and accurate scheduling prediction by adopting a self-adaptive link balance configuration method according to the information fusion result.
Preferably, the specific work content of the power dispatching information fusion and optimization output module includes that a self-adaptive link balance configuration method is adopted to perform load balance design of cross-regional power grid integrated power automatic dispatching, and a calculation formula for obtaining a characteristic prediction quantity and a measurement value of power dispatching is as follows:
Figure BDA0002230900350000143
Figure BDA0002230900350000144
under the condition that the power distribution of a plurality of output modules is unbalanced, the detection objective functions A and M are obtained through emergency command scheduling and respectively are as follows:
A=(2-1,2-2,…,2-p,2-p+1) (19)
M=(1,0,…,0)p(20)
a parallel current balance control strategy is introduced for carrying out scheduling balance detection, a self-adaptive link balance configuration method is adopted for carrying out load balance design of cross-regional power grid integrated power automatic scheduling according to an information fusion result, and an optimal matching strategy P output by a scheduling node i is adoptedi *By analogy, the calculation can be carried out
Figure BDA0002230900350000151
Figure BDA0002230900350000152
After being filtered by a rectifier bridge, the random probability density characteristic distribution attribute of balanced scheduling is obtained, the central expansibility of the whole network standardized scheduling of the random probability density characteristic distribution attribute is compared under the dominant mode, and the obtained comprehensive scheduling function satisfies the following conditions:
Figure BDA0002230900350000153
under a subnet standardization protocol, a central function of the degree of integrated electric power automatic dispatching of the high-span regional power grid is obtained as follows:
Figure BDA0002230900350000154
let v beQ∈GZaAnd carrying out linearization processing on the corrected state space equation, wherein the linearization processing comprises the following steps:
Figure BDA0002230900350000155
Figure BDA0002230900350000161
further, an additional damping coordination control method is used for suppressing interference nodes, and finally, an optimized scheduling model is obtained as follows:
Figure BDA0002230900350000162
Figure BDA0002230900350000163
b≤s≤u
var:s (25)。
on the other hand, the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the cross-regional power grid integrated automatic power dispatching system facing the emergency command is realized.
In another aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the emergency command-oriented cross-regional power grid integrated automatic power dispatching system.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (7)

1. Emergency command-oriented cross-regional power grid integrated automatic power dispatching system is characterized in that: the system comprises a power dispatching transmission model module, a power dispatching statistical analysis module, a power dispatching balance configuration module and a power dispatching information fusion and optimization output module;
the power dispatching transmission model module is used for establishing a load balance control model containing cross-regional power grid transmission flow control, performing classification balance control on power grid dispatching by adopting an SVM (support vector machine) model, realizing transmission flow estimation of cross-regional power grid integrated power loads by combining a principal component analysis method in the SVM model, and sending a transmission flow estimation result to the power dispatching statistical analysis module;
the power dispatching statistical analysis module further performs cross-regional power grid integrated power load statistical analysis by using a transmission flow estimation result of the power dispatching transmission model module, performs balanced configuration of the power dispatching model by combining with regional statistical analysis, and sends balanced configuration information to the power dispatching balanced configuration module;
the power dispatching equilibrium configuration module utilizes equilibrium configuration information of the power dispatching statistical analysis module, adopts a space region recombination method to realize cross-region power grid integration information fusion processing, and sends a power grid integration information fusion processing result to the power dispatching information fusion and optimization output module;
the power dispatching information fusion and optimization output module utilizes the power grid integration information fusion processing result of the power dispatching equilibrium configuration module and adopts a self-adaptive link equilibrium configuration method to carry out weighted smoothing processing and accurate dispatching prediction according to the power grid integration information fusion processing result.
2. The integrated power automatic dispatching system for the cross-regional power grid for emergency command of claim 1, wherein: the specific working content of the power dispatching transmission model module comprises the steps of establishing a load balance control model containing cross-regional power grid transmission flow control, adopting an SVM (support vector machine) model to carry out classification balance control on power grid dispatching, and combining a principal component analysis method in the SVM model to realize transmission flow estimation of the cross-regional power grid integrated power load; the method comprises the following specific steps:
estimating the power load of the integrated power grid across regions and establishing the power load by adopting a statistical analysis method, and carrying out balanced configuration on a power dispatching model by combining a regional statistical analysis method, wherein a sample sequence expression of the integrated dispatching of the power grid across regions is as follows:
U={U1,U2,…,UN} (1)
wherein U isiFor the integrated electric power automatic scheduling random variable with d dimension, each integrated electric power automatic scheduling random variable UiAre independent of each otherThe method comprises the following steps of adopting an autocorrelation matched filter detection technology to recombine a multipath cross-regional power grid integrated electric power automatic scheduling information model, combining a peak value scheduling method to construct a parameter model of electric power scheduling, and under an emergency command mode, expressing a statistical probability density function of the increase rate of cross-regional power grid integrated scheduling as follows:
Figure FDA0002230900340000021
Figure FDA0002230900340000022
before modeling, gain of a cross-regional power grid integrated power dispatching transmission channel is obtained by adopting a spread spectrum coding modulation method, statistical average analysis is carried out by combining a channel equalization configuration method, natural logarithmic transformation is carried out on variable data, and the cross-regional power grid transmission peak fluctuation data X for emergency command meets the overall distribution of the standard and is recorded as X-Sα(sigma, β, mu), performing multipath cross-region power grid integrated electric power automatic dispatching signal analysis, and obtaining a cross-region power grid integrated electric power automatic dispatching transmission model by adopting a root-mean-square inspection and a co-integration inspection method as follows:
Figure FDA0002230900340000023
the expression of the above formula is a trans-regional power grid integrated power load fluctuation model containing trans-regional power grid flow, trans-regional power grid signal strength and 3 endogenous variables of the power load, and the expression of the obtained model is as follows:
Figure FDA0002230900340000031
wherein N is 1,2, …, N, vi(x) And (3) performing balanced configuration of cross-regional power grid integrated power transmission scheduling for a k-dimensional internal variable by adopting a segmented balance control method.
3. The integrated power automatic dispatching system for the cross-regional power grid for emergency command of claim 1, wherein: the specific work content of the power scheduling statistical analysis module comprises,
in cross-regional power grid integrated power load associated parameter estimation, a one-dimensional number vector X is obtained for m in the growth ratenThe bandwidth of the cross-regional power grid integrated power automatic scheduling output channel is expressed as follows:
Figure FDA0002230900340000032
in the formula, N is the number of transmission channel paths, tau, of the integrated power dispatching transmission channel of the trans-regional power gridiAnd aiRespectively is the time delay and the envelope amplitude, w of the ith cross-regional power grid integrated electric power automatic dispatching pathcThe process loss rate of power transmission is X for the modulation weight of power automatic schedulingη(n)And therefore, an expected equation capable of influencing the integrated power load of the cross-regional power grid is constructed:
Figure FDA0002230900340000033
assuming that N cluster head nodes exist in the power network, a node energy consumption factor matrix BN x 1 is constructed,
BN×1=SN×L·TL×1(8)
assume that each node b of the integrated power automatic dispatching of the cross-regional power gridiThe log-likelihood function of the detected channel in the channel is:
Figure FDA0002230900340000041
under the influence of peak value factors, the obtained cross-regional power grid loss statistical value is as follows:
Figure FDA0002230900340000042
under the non-Gaussian noise environment, a multi-path channel of the integrated power automatic scheduling of the cross-regional power grid has a discrete characteristic, an integral cross term is constructed for balanced configuration, and a load output term of the power scheduling is represented as:
Figure FDA0002230900340000043
Figure FDA0002230900340000044
because the signal intensity of the cross-regional power grid and the power load influence each other, under the constraint of maximum power gain, the peak value correlation prediction objective function of power dispatching is as follows:
Figure FDA0002230900340000045
in the above formula, Kα-1(w) outputting frequency information for the phase locked loop;
Figure FDA0002230900340000046
is the weighted sum of the commutation currents of the grid,
Figure FDA0002230900340000047
to regulate the AC bus voltage; w is aαU is a peak value index and cross-regional power grid signal relation mean vector, and sigma is a covariance matrix; by carrying out balanced configuration on power dispatching on LCC phase-locked loop gain prediction, the interference dynamic model ln | omega | is minimized, the coordination control processing between the STATCOM and the LCC can be realized, and the precision of power dispatching is improved.
4. The integrated power automatic dispatching system for the cross-regional power grid for emergency command of claim 1, wherein: the specific working content of the power dispatching balance configuration module comprises that a space region recombination method is adopted to realize a cross-region power grid IIntegration information fusion processing to give K input sample data sets, { xi,yi1,2, …, k, wherein k represents the distribution sample number of the AC bus voltage, and historical data of the tested AC bus voltage
Figure FDA0002230900340000051
In the alternating current filter S, the maximum load of the trans-regional power grid integrated power load is obtained, and if the maximum load is greater than 0, the fact that the trans-regional power grid integrated power load sequence has a nonlinear characteristic is checked; according to the F test and channel equalization result of the scheduling information, in order to increase the transmission power level of the system, the Xm is taken as a central point to carry out cascade filtering processing, and the nearest adjacent point is XkThe system resonant frequency distribution is:
dm(0)=||Xm-Xk|| (14)
the method comprises the following steps of carrying out balance configuration on power transmission scheduling by adopting a continuous filtering method for higher harmonics to obtain a balance predicted value of power transmission scheduling at the time of n + m + k (k is larger than 0), wherein the balance predicted value represents a gain index of multi-load inductive coupling power transmission, and the formula is as follows:
Figure FDA0002230900340000052
in the above formula, Xm+1Modulation component x (t)n+1) Unknown, through integrated power transmission scheduling, making the fundamental current pass through without loss, then:
Figure FDA0002230900340000053
in the above formula, dm(0) Representing series capacitance compensated impulse response, Xm+1(i) Load balance, X, representing cross-regional grid flowk+1(i) Representing the number of samples; and realizing the cross-regional power grid integrated information fusion processing by adopting a spatial region recombination method, and performing weighted smoothing processing and accurate scheduling prediction by adopting a self-adaptive link balance configuration method according to the information fusion result.
5. The integrated power automatic dispatching system for the cross-regional power grid for emergency command of claim 1, wherein: the specific work content of the power dispatching information fusion and optimization output module comprises the following steps of adopting a self-adaptive link balance configuration method to carry out load balance design of cross-regional power grid integrated power automatic dispatching, and obtaining a calculation formula of characteristic prediction quantity and a measurement value of power dispatching, wherein the calculation formula comprises the following steps:
Figure FDA0002230900340000061
Figure FDA0002230900340000062
under the condition that the power distribution of a plurality of output modules is unbalanced, the detection objective functions A and M are obtained through emergency command scheduling and respectively are as follows:
A=(2-1,2-2,…,2-p,2-p+1) (19)
M=(1,0,…,0)p(20)
a parallel current balance control strategy is introduced for carrying out scheduling balance detection, a self-adaptive link balance configuration method is adopted for carrying out load balance design of cross-regional power grid integrated power automatic scheduling according to an information fusion result, and an optimal matching strategy P output by a scheduling node i is adoptedi *By analogy, the calculation can be carried out
Figure FDA0002230900340000063
Figure FDA0002230900340000064
After being filtered by a rectifier bridge, the random probability density characteristic distribution attribute of balanced scheduling is obtained, the central expansibility of the whole network standardized scheduling of the random probability density characteristic distribution attribute is compared under the dominant mode, and the obtained comprehensive scheduling function satisfies the following conditions:
Figure FDA0002230900340000071
under a subnet standardization protocol, a central function of the degree of integrated electric power automatic dispatching of the high-span regional power grid is obtained as follows:
Figure FDA0002230900340000072
let v beQ∈GZaAnd carrying out linearization processing on the corrected state space equation, wherein the linearization processing comprises the following steps:
Figure FDA0002230900340000073
further, an additional damping coordination control method is used for suppressing interference nodes, and finally, an optimized scheduling model is obtained as follows:
Figure FDA0002230900340000075
Figure FDA0002230900340000076
b≤s≤u
var:s (25)。
6. a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the emergency command oriented cross-regional power grid integrated automatic dispatching system of one of claims 1 to 5.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements an emergency command-oriented integrated power automatic dispatching system for a cross-regional power grid.
CN201910967280.6A 2019-10-12 2019-10-12 Emergency command-oriented cross-regional power grid integrated automatic power dispatching system Pending CN110994619A (en)

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