CN109728593A - DC transmission system reliability optimal Decomposition method, apparatus, equipment and medium - Google Patents
DC transmission system reliability optimal Decomposition method, apparatus, equipment and medium Download PDFInfo
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- CN109728593A CN109728593A CN201811547747.3A CN201811547747A CN109728593A CN 109728593 A CN109728593 A CN 109728593A CN 201811547747 A CN201811547747 A CN 201811547747A CN 109728593 A CN109728593 A CN 109728593A
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a kind of DC transmission system reliability optimal Decomposition methods, including obtain reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model includes objective function and constraint condition;The dependability parameter of the DC transmission system element is obtained, to obtain dependability parameter vector;Wherein, the dependability parameter vector includes the minimum value and maximum value of the dependability parameter;Optimal dependability parameter is obtained using dichotomy according to the dependability parameter vector, the reliability optimal Decomposition model and preset convergence precision.Based on the changing rule that system reliability is monotonically changed with component reliability, the dichotomy derivation algorithm of Polynuclear complex system reliability optimal Decomposition is proposed.Under the premise of given system reliability index, the optimal Decomposition of Power System Reliability is realized to Polynuclear complex system using dichotomy, its reliability is allocated, global optimum is reached, to realize the reasonable selection of component reliability parameter.
Description
Technical field
The present invention relates to DC transmission system reliability optimization field more particularly to DC transmission system reliability most optimal sortings
Solve method, apparatus, equipment and medium.
Background technique
The unbalanced status of china natural resources distributed pole has pushed flourishing for HVDC Transmission Technology, D.C. high voltage transmission system
System occupies increasingly consequence in the construction of China's power grid.Meanwhile with the exploitation of electric power resources in the West, power transmission away from
From growth, the increase of power transmission capacity is also higher and higher for the reliability requirement of power transmission.The transmission capacity of DC transmission system
Greatly, structure and service condition complexity cause its cost higher.Therefore, it is also huge for improving its reliability bring income.
Since China's energy resources are mainly in western part, workload demand is mainly the east the characteristics of, the remote large capacity in China
All there is this single apparent feature of direction of tide in DC transmission engineering, when engineering design does not just have to consider that trend is reversely asked
Topic.For such DC transmission engineering, relative to using customary DC to transmit electricity and flexible DC transmission, Hybrid HVDC system
System can give full play to the respective advantage of the two, can bring bigger economic technology benefit.Therefore, improve Polynuclear complex
The reliability of system is a highly important job.
Rarely have consideration to the problem of Power System Reliability optimal Decomposition in existing research at present, it is straight for mixing multiterminal
The technology for flowing the reliability optimal Decomposition of transmission system is more rare.
Summary of the invention
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of DC transmission system reliability optimal Decomposition method,
It can be each to determine according to the dependability parameter bound that the reliability index of arrival needed for system and each element must satisfy
The result of the dependability parameter of element, it is therefore an objective to select the suitable dependability parameter of each element as a result, being with what satisfaction gave
System reliability requirement.
In a first aspect, the present invention provides a kind of DC transmission system reliability optimal Decomposition methods, comprising:
Obtain reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model includes objective function and constraint
Condition;
The dependability parameter of the DC transmission system element is obtained, to obtain dependability parameter vector;Wherein, described can
It include the minimum value and maximum value of the dependability parameter by property parameter vector;
Two points are used according to the dependability parameter vector, the reliability optimal Decomposition model and preset convergence precision
Method obtains optimal dependability parameter.
In the first possible implementation of first aspect, the acquisition reliability optimal Decomposition model;Wherein, described
The other model of reliability optimal Decomposition includes objective function and constraint condition includes:
Objective function: Min | Rs-RG|;
Constraint condition: Aimin≤Ai≤Aimax;Wherein, RsFor Reliability evaluation index, RGRefer to for scheduled reliability
Mark, AiminFor the lower limit of the dependability parameter, AiFor the dependability parameter of i-th of element, AimaxFor reliability ginseng
Several upper limits.
The possible implementation of with reference to first aspect the first, in second of possible implementation of first aspect, institute
It states and is obtained according to the dependability parameter vector, the reliability optimal Decomposition model and preset convergence precision sampling dichotomy
Optimal dependability parameter includes:
Reliability assessment index is acquired according to the dependability parameter vector;
According to the reliability assessment index compared with the size of the predetermined reliability index, linearly inserted respectively
Value, to obtain updated dependability parameter;
The reliability assessment index corresponding to the updated dependability parameter inputs the reliability optimal Decomposition
When model meets the preset convergence precision, the updated dependability parameter is exported.
The possible implementation of second with reference to first aspect, in the third possible implementation of first aspect, institute
It states and reliability assessment index is acquired according to the dependability parameter vector includes:
The different types of line fault of different number is successively enumerated, every kind of failure is obtained according to the dependability parameter vector
Corresponding probability and Frequency Index, are superimposed the probability and the Frequency Index obtains the reliability assessment index.
The possible implementation of second with reference to first aspect, in the 4th kind of possible implementation of first aspect, institute
It states and reliability assessment index is acquired according to the dependability parameter vector further include:
Acquire the minimum value of reliability assessment index respectively according to the minimum value of the dependability parameter and maximum value
And maximum value;
Then it is described according to the reliability assessment index compared with the size of the predetermined reliability index, carry out line respectively
Property interpolation, includes: the number of iterations K=0 with obtained updated dependability parameter, then the current reliability assessment index
Ak=Amin;Wherein, the maximum value of the number of iterations is equal to the number of parameters of the dependability parameter vector;
When the current reliability assessment index is less than the predetermined reliability index, then Amin=Ak, RSmax=
RS, k,
When the current reliability assessment index is greater than the predetermined reliability index, then Amax=Ak, RSmin=
RS, k,Wherein, AminFor the minimum of the dependability parameter
Value, AkFor the current dependability parameter, RSmaxFor the maximum value of the reliability assessment index, RS, kFor can described in current
By property evaluation index, AmaxFor the maximum value for stating dependability parameter, RSminFor the maximum value of the reliability assessment index, Ak+1For
Updated dependability parameter.
The 4th kind of possible implementation with reference to first aspect, in the 5th kind of possible implementation of first aspect,
The input of reliability assessment index corresponding to the new dependability parameter reliability optimal Decomposition model is unsatisfactory for described pre-
If convergence precision when, enable k=k+1, execute step according to the reliability assessment index and the predetermined reliability index
Size compares, and carries out linear interpolation respectively, to obtain the updated dependability parameter.
The 5th kind of possible implementation with reference to first aspect, in the 6th kind of possible implementation of first aspect, institute
The reliability assessment index corresponding to the new dependability parameter is stated to input described in the reliability optimal Decomposition model satisfaction
When preset convergence precision further include:
Export the corresponding reliability index of the updated dependability parameter and the number of iterations.
Second aspect, the present invention also provides a kind of DC transmission system reliability optimal Decomposition devices, comprising:
Model obtains module, for obtaining reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model packet
Include objective function and constraint condition;
Parameter vector obtains module, reliable to obtain for obtaining the dependability parameter of the DC transmission system element
Property parameter vector;Wherein, the dependability parameter vector includes the minimum value and maximum value of the dependability parameter;
Optimized parameter obtain module, for according to the dependability parameter vector, the reliability optimal Decomposition model and
Preset convergence precision obtains optimal dependability parameter using dichotomy.
The third aspect, the embodiment of the invention also provides a kind of DC transmission system reliability optimal Decomposition equipment, including
Processor, memory and storage in the memory and are configured as the computer program executed by the processor, institute
State the DC transmission system reliability most optimal sorting realized as described in any of the above-described one when processor executes the computer program
Solution method.
Fourth aspect, it is described computer-readable to deposit the embodiment of the invention also provides a kind of computer readable storage medium
Storage media includes the computer program of storage, wherein controls the computer-readable storage in computer program operation
Equipment where medium executes DC transmission system reliability optimal Decomposition method described in above-mentioned any one.
One technical solution of above-mentioned technical proposal, which has the advantages that, obtains reliability optimal Decomposition model;Wherein, institute
Stating reliability optimal Decomposition model includes objective function and constraint condition;Obtain the reliability ginseng of the DC transmission system element
Number, to obtain dependability parameter vector;Wherein, the dependability parameter vector includes the minimum value and most of the dependability parameter
Big value;Dichotomy is used according to the dependability parameter vector, the reliability optimal Decomposition model and preset convergence precision
Obtain optimal dependability parameter.Based on the changing rule that system reliability is monotonically changed with component reliability, propose that mixing is more
Hold the dichotomy derivation algorithm of DC transmission system reliability optimal Decomposition.Under the premise of given system reliability index, adopt
The optimal Decomposition for realizing Power System Reliability to Polynuclear complex system with dichotomy, divides its reliability
Match, reach global optimum, to realize the reasonable selection of component reliability parameter.
Detailed description of the invention
Fig. 1 is the schematic diagram for the DC transmission system reliability optimal Decomposition equipment that first embodiment of the invention provides;
Fig. 2 is the DC transmission system reliability optimal Decomposition method flow schematic diagram that second embodiment of the invention provides;
Fig. 3 is the DC transmission system wiring construction schematic diagram that second embodiment of the invention provides;
Fig. 4 is the DC transmission system reliability optimal Decomposition method the number of iterations signal that second embodiment of the invention provides
Figure;
Fig. 5 is a kind of DC transmission system reliability optimal Decomposition apparatus structure signal that third embodiment of the invention provides
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Those skilled in the art will appreciate that the present invention can be implemented as equipment, method or computer program product.
Therefore, the present disclosure may be embodied in the following forms, it may be assumed that can be complete hardware, be also possible to complete software (including
Firmware, resident software, microcode etc.), it can also be the form that hardware and software combines, referred to generally herein as " circuit ", " mould
Block " or " system ".In addition, in some embodiments, the present invention is also implemented as in one or more computer-readable mediums
In computer program product form, include computer-readable program code in the computer-readable medium.
It can be using any combination of one or more computer-readable media.Computer-readable medium can be calculating
Machine readable signal medium or computer readable storage medium.Computer readable storage medium for example can be --- but it is unlimited
In system, device or the device of --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or any above combination.It calculates
The more specific example (non exhaustive list) of machine readable storage medium storing program for executing includes: electrical connection with one or more conducting wires, just
Taking formula computer disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In this document, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium other than computer readable storage medium, which can send, propagate or
Transmission is for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Below with reference to the method for the embodiment of the present invention, the flow chart of equipment (system) and computer program product and/or
The block diagram description present invention.It should be appreciated that each box in each box and flowchart and or block diagram of flowchart and or block diagram
Combination, can be realized by computer program instructions.These computer program instructions can be supplied to general purpose computer, dedicated
The processor of computer or other programmable data processing units, to produce a kind of virtual machine, these computer programs refer to
It enables and being executed by computer or other programmable data processing units, produced in the box in implementation flow chart and/or block diagram
The device of defined function/operation.
These computer program instructions can also be stored in can make computer or other programmable data processing units
In computer-readable medium operate in a specific manner, in this way, the instruction of storage in computer-readable medium just produces one
Function/operation command device specified in a box including in implementation flow chart and/or block diagram
(instructionmeans) manufacture (manufacture).
Computer program instructions can also be loaded into computer, other programmable data processing units or other equipment
On, so that series of operation steps are executed in computer, other programmable data processing units or other equipment, in terms of generating
The process that calculation machine is realized, so that the instruction executed on a computer or other programmable device is capable of providing implementation flow chart
And/or function/operation process specified in the box in block diagram.
Embodiment one
Referring to Figure 1, Fig. 1 is showing for the DC transmission system reliability optimal Decomposition equipment that the embodiment of the present invention one provides
It is intended to;In executing DC transmission system reliability optimal Decomposition method provided in an embodiment of the present invention, as shown in Figure 1, the direct current
Reliability of transmission system optimal Decomposition equipment includes: at least one processor 11, such as CPU, at least one network interface 14 or
Person's other users interface 13, memory 15, at least one communication bus 12, communication bus 12 is for realizing between these components
Connection communication.Wherein, user interface 13 optionally may include USB interface and other standards interface, wireline interface.Network connects
Mouth 14 may include optionally Wi-Fi interface and other wireless interfaces.Memory 15 may include high speed RAM memory,
It may further include non-labile memory (non-volatilememory), a for example, at least magnetic disk storage.Memory
15 optionally may include at least one storage device for being located remotely from aforementioned processor 11.
In some embodiments, memory 15 stores following element, executable modules or data structures, or
Their subset or their superset:
Operating system 151 includes various system programs, for realizing various basic businesses and hardware based of processing
Business;
Program 152.
Specifically, processor 11 executes described in the embodiment of the present invention for calling the program 152 stored in memory 15
DC transmission system reliability optimal Decomposition method.
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor is the control centre of the DC transmission system reliability optimal Decomposition method, utilizes various interfaces and line
Road connects the various pieces of the entire DC transmission system reliability optimal Decomposition method.
The memory can be used for storing the computer program and/or module, and the processor is by operation or executes
Computer program in the memory and/or module are stored, and calls the data being stored in memory, realizes direct current
The various functions of the electronic device of reliability of transmission system optimal Decomposition.The memory can mainly include storing program area and deposit
Store up data field, wherein storing program area can application program needed for storage program area, at least one function (for example sound is broadcast
Playing function, text conversion function etc.) etc.;Storage data area, which can be stored, uses created data (such as audio according to mobile phone
Data, text message data etc.) etc..In addition, memory may include high-speed random access memory, it can also include non-volatile
Property memory, such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital
(Secure Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other
Volatile solid-state part.
Wherein, if the integrated module of the DC transmission system reliability optimal Decomposition is in the form of SFU software functional unit
Realize and when sold or used as an independent product, can store in a computer readable storage medium.Based on this
The understanding of sample, the present invention realize all or part of the process in above-described embodiment method, can also be referred to by computer program
Relevant hardware is enabled to complete, the computer program can be stored in a computer readable storage medium, the computer
Program is when being executed by processor, it can be achieved that the step of each embodiment of the method for the invention.Wherein, the computer program includes
Computer program code, the computer program code can for source code form, object identification code form, executable file or certain
A little intermediate forms etc..The computer-readable medium may include: any entity that can carry the computer program code
Or device, recording medium, USB flash disk, mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software
Distribution medium etc..
The side of DC transmission system reliability optimal Decomposition according to an embodiment of the present invention described below with reference to accompanying drawings
Method.
Embodiment two
Referring to fig. 2, Fig. 2 is a kind of method of DC transmission system reliability optimal Decomposition provided by Embodiment 2 of the present invention
Flow diagram, comprising:
S11, reliability optimal Decomposition model is obtained;Wherein, the reliability optimal Decomposition model include objective function and
Constraint condition;
S12, the dependability parameter for obtaining the DC transmission system element, to obtain dependability parameter vector;Wherein, institute
State the minimum value and maximum value that dependability parameter vector includes the dependability parameter;
S13, it is used according to the dependability parameter vector, the reliability optimal Decomposition model and preset convergence precision
Dichotomy obtains optimal dependability parameter.
Preferably, the acquisition reliability optimal Decomposition model;Wherein, the other model of the reliability optimal Decomposition includes mesh
Scalar functions and constraint condition include:
Objective function: Min | Rs-RG|;
Constraint condition: Aimin≤Ai≤Aimax;Wherein, RsFor Reliability evaluation index, RGRefer to for scheduled reliability
Mark, AiminFor the lower limit of the dependability parameter, AiFor the dependability parameter of i-th of element, AimaxFor reliability ginseng
Several upper limits.
Preferably, described according to the dependability parameter vector, the reliability optimal Decomposition model and preset convergence
Precision sampling dichotomy obtains optimal dependability parameter and includes:
Reliability assessment index is acquired according to the dependability parameter vector;
According to the reliability assessment index compared with the size of the predetermined reliability index, linearly inserted respectively
Value, to obtain updated dependability parameter;
The reliability assessment index corresponding to the updated dependability parameter inputs the reliability optimal Decomposition
When model meets the preset convergence precision, the updated dependability parameter is exported.
Preferably, described reliability assessment index is acquired according to the dependability parameter vector to include:
The different types of line fault of different number is successively enumerated, every kind of failure is obtained according to the dependability parameter vector
Corresponding probability and Frequency Index, are superimposed the probability and the Frequency Index obtains the reliability assessment index.
Specifically, establishing the state space graph of each element in each end using frequency duration method and obtaining corresponding equivalent
Model, series-parallel combination obtain the Reliability Evaluation Model of each terminal system.The wherein calculating of the frequency duration method
Formula are as follows:
fij=Piλij
Wherein, μ is repair rate, is entered for failure rate, PiIt is the probability that state i occurs, fiIt is the frequency that state i occurs, PjIt is
State j enters the probability of state i, λ when occurringkIt is the failure rate of transform, λjIt is to repair the rate of transform, MdWhen leave state i transfer
Number, MeIt is the transfer number into state i, fijFor the transition frequency between two states, λijTurn for what state i was shifted to state j
Shifting rate.
It should be noted that in embodiments of the present invention, according to above-mentioned reliability assessment index selection method, having input
The component reliability parameter of direct current system assessment sampling can be obtained by the dependability parameter of system.
It is preferably, described that reliability assessment index is acquired according to the dependability parameter vector further include:
Acquire the minimum value of reliability assessment index respectively according to the minimum value of the dependability parameter and maximum value
And maximum value;
Then it is described according to the reliability assessment index compared with the size of the predetermined reliability index, carry out line respectively
Property interpolation, includes: the number of iterations K=0 with obtained updated dependability parameter, then the current reliability assessment index
Ak=Amin;Wherein, the maximum value of the number of iterations is equal to the number of parameters of the dependability parameter vector;
When the current reliability assessment index is less than the predetermined reliability index, then Amin=Ak, RSmax=
RS, k,
When the current reliability assessment index is greater than the predetermined reliability index, then Amax=Ak, RSmin=
RS, k,Wherein, AminFor the minimum of the dependability parameter
Value, AkFor the current dependability parameter, RSmaxFor the maximum value of the reliability assessment index, RS, kFor can described in current
By property evaluation index, AmaxFor the maximum value for stating dependability parameter, RSminFor the maximum value of the reliability assessment index, Ak+1For
Updated dependability parameter.
Preferably, the reliability assessment index corresponding to the new dependability parameter inputs the reliability optimal Decomposition
When model is unsatisfactory for the preset convergence precision, enable k=k+1, execute step according to the reliability assessment index with it is described
The size of predetermined reliability index compares, and carries out linear interpolation respectively, to obtain the updated dependability parameter.
Preferably, it is optimal to input the reliability for the reliability assessment index corresponding to the new dependability parameter
When decomposition model meets the preset convergence precision further include:
Export the corresponding reliability index of the updated dependability parameter and the number of iterations.
In embodiments of the present invention, first construct Hybrid HVDC system reliability optimal Decomposition model, i.e., it is described straight
Reliability of transmission system optimal Decomposition model is flowed, the minimum value and maximum value of the dependability parameter of each element are then substituted into, point
The maxima and minima of corresponding reliability index is not calculated, enables the number of iterations k=0, Ak=Amin, calculate RS, k, root
Compare according to the current pre- predetermined reliability index size of the reliability assessment index, applies linear interpolation in two kinds of situation
Principle calculates Ak+1, to obtain updated reliability parameter Ak+1, with Ak+1As new component reliability Parameters Computing System
Reliability index RS, k+1, | RS, k+1-RGWhen |≤default precision ε, it is reliable that output meets the dependability parameter of condition, the system
Property index and the number of iterations.
It should be noted that DC transmission system described in the embodiment of the present invention includes Polynuclear complex system.
Specifically, the Polynuclear complex system in this example is using the wiring construction in figure referring to Fig. 3.Wherein
Sending end Yunnan station is customary DC, and receiving end Guangdong station, Guangxi station are flexible direct current, and flexible direct current station considers every pole double converter
Wiring, first building Polynuclear complex system reliability optimal Decomposition model are as follows:
(1) objective function: Min | RS-RG|
(2) constraint condition: Aimin≤Ai≤Aimax
Wherein AiIndicate the availability parameter of the i-th class component, i.e., the described dependability parameter, if vector A=(A1, A2...,
An), then A illustrates the availability of Polynuclear complex system element.RGThe reliability that need to reach for given system refers to
It marks, in this example for forcing energy degree of unavailability, as the reliability objectives value that need to reach;RSFor commenting for system reliability
Estimate index, is element availability AiFunction, i.e. RS=RS(A1, A2..., An)=RS(A).Component reliability parameter section is
[Aimin, Aimax], indicate to be exactly [A with vectormin, Amax]。
In the following, referring to Polynuclear complex system flexibility direct current component used by this example is given in table 1
Availability bound:
It should be noted that being illustrated in the present embodiment with the availability parameter of each element, the present invention is to element
Dependability parameter without specifically limiting.
Element title | Lower limit | The upper limit |
Flexible converter transformer | 0.999523 | 0.999873 |
Flexible converter device | 0.999842 | 0.999958 |
Flexible breaker | 0.999992 | 0.999998 |
Flexible phase reactor | 0.999964 | 0.99999 |
Flexible smoothing reactor | 0.999981 | 0.999995 |
Flexible pole control | 0.999999 | 1 |
The control of flexibility station | 0.999999 | 1 |
The control of flexible converter device grade | 0.999999 | 1 |
Flexible bus | 0.999957 | 0.999989 |
Flexible direct current bus | 0.999957 | 0.999989 |
Flexible DC transmission line | 0.999705 | 0.999921 |
Flexible ground switch | 0.999982 | 0.999995 |
Table 1
Referring to giving the availability of Polynuclear complex system conventional direct current component used by this example in table 2
Bound.
Table 2
Assuming that the forced energy degree of unavailability R that sets the goalG=0.0065, Polynuclear complex is carried out using dichotomy
The optimal Decomposition of system reliability.The reliability index target that need to be reached using for forcing energy degree of unavailability as given system
Each element availability is substituted into Polynuclear complex Reliability evaluation model respectively with upper and lower limit, is somebody's turn to do with calculating by value
The maximum value R of Reliability IndexSmax, minimum value RSmin, give convergence precision ε=10-6, enable the number of iterations k=0, Ak=
Amin, calculate RS, k, the calculation processing of linear interpolation principle is then applied in two kinds of situation:
(1) if RS, k> RG, then Amin=Ak, RSmax=RS, k,
(2) if RS, k< RG, then Amax=Ak, RSmin=RS, k,
With Ak+1As new element availability computing system reliability index RS, k+1If | RS, k+1-RG|≤ε, then two points of ends
Only, output meets element availability, Reliability Index and the number of iterations of condition, otherwise returns and enables k=k+1, continues two
Divide and calculate,
Table 3 is the reliability optimal Decomposition knot of Polynuclear complex system flexibility direct current component used by this example
Fruit:
Element title | Calculated result | Lower limit | The upper limit |
Flexible converter transformer | 0.999662 | 0.999523 | 0.999873 |
Flexible valve group | 0.999888 | 0.999842 | 0.999958 |
Flexible breaker | 0.999994 | 0.999992 | 0.999998 |
Flexible phase reactor | 0.999974 | 0.999964 | 0.99999 |
Flexible smoothing reactor | 0.999987 | 0.999981 | 0.999995 |
Flexible pole control | 0.999999 | 0.999999 | 1 |
The control of flexibility station | 0.999999 | 0.999999 | 1 |
The control of flexible converter device grade | 0.999999 | 0.999999 | 1 |
Flexible bus | 0.999970 | 0.999957 | 0.999989 |
Flexible direct current bus | 0.999970 | 0.999957 | 0.999989 |
Flexible DC transmission line | 0.999791 | 0.999705 | 0.999921 |
Flexible ground switch | 0.999987 | 0.999982 | 0.999995 |
Table 3
Table 4 is the reliability optimal Decomposition knot of Polynuclear complex system conventional direct current component used by this example
Fruit:
Element title | Calculated result | Lower limit | The upper limit |
Converter power transformer | 0.999662 | 0.999523 | 0.999873 |
Valve group | 0.998868 | 0.998403 | 0.999574 |
Bus | 0.999970 | 0.999957 | 0.999989 |
Breaker | 0.999967 | 0.999954 | 0.999988 |
DC power transmission line | 0.999913 | 0.999877 | 0.999967 |
Direct current pole bus equipment | 0.999982 | 0.999975 | 0.999993 |
Earthing pole wiretap | 0.999987 | 0.999982 | 0.999995 |
DC filter | 0.999677 | 0.999545 | 0.999878 |
Smoothing reactor | 0.999935 | 0.999908 | 0.999975 |
Pole control | 0.999945 | 0.999922 | 0.999979 |
It stands control | 0.999999 | 0.999999 | 1 |
Accessory power supply | 0.999999 | 0.999999 | 1 |
Alternating current filter A type | 0.997666 | 0.996709 | 0.99912 |
Alternating current filter Type B | 0.997997 | 0.997176 | 0.999245 |
Alternating current filter c-type | 0.996937 | 0.995682 | 0.998845 |
Alternating current filter D type | 0.996937 | 0.995682 | 0.998845 |
Table 4
As shown in figure 4, the forced energy degree of unavailability of system converges near 0.0065 by 21 iteration, it is
0.00649917, reach given precision 10- 6。
Implement the present embodiment to have the following beneficial effects:
Obtain reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model includes objective function and constraint
Condition;The dependability parameter of the DC transmission system element is obtained, to obtain dependability parameter vector;Wherein, described reliable
Property parameter vector includes the minimum value and maximum value of the dependability parameter;According to the dependability parameter vector, described reliable
Property optimal Decomposition model and preset convergence precision optimal dependability parameter obtained using dichotomy.Based on system reliability with
The changing rule that component reliability is monotonically changed proposes that the dichotomy of Polynuclear complex system reliability optimal Decomposition is asked
Resolving Algorithm.Under the premise of given system reliability index, electric power is realized to Polynuclear complex system using dichotomy
The optimal Decomposition of system reliability is allocated its reliability, reaches global optimum, to realize the conjunction of component reliability parameter
Reason selection.
Embodiment three
It is a kind of direct current transportation reliability optimal Decomposition apparatus structure that third embodiment of the invention provides referring to Fig. 5, Fig. 5
Schematic diagram, comprising:
Model obtains module 31, for obtaining reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model
Including objective function and constraint condition;
Parameter vector obtains module 32, for obtaining the dependability parameter of the DC transmission system element, with obtain can
By property parameter vector;Wherein, the dependability parameter vector includes the minimum value and maximum value of the dependability parameter;
Optimized parameter obtains module 33, for according to the dependability parameter vector, the reliability optimal Decomposition model
Optimal dependability parameter is obtained using dichotomy with preset convergence precision.
Preferably, the model obtains module 31, wherein the other model of reliability optimal Decomposition include objective function and
Constraint condition includes:
Objective function: Min | Rs-RG|;
Constraint condition: Aimin≤Ai≤Aimax;Wherein, RsFor Reliability evaluation index, RGRefer to for scheduled reliability
Mark, AiminFor the lower limit of the dependability parameter, AiFor the dependability parameter of i-th of element, AimaxFor reliability ginseng
Several upper limits.
Preferably, the optimized parameter acquisition module 33 includes:
Index selection unit, for acquiring reliability assessment index according to the dependability parameter vector;
Dependability parameter acquiring unit, for according to the big of the reliability assessment index and the predetermined reliability index
Small comparison carries out linear interpolation respectively, to obtain updated dependability parameter;
Dependability parameter acquiring unit, for the reliability assessment index corresponding to the updated dependability parameter
When inputting the reliability optimal Decomposition model and meeting the preset convergence precision, the updated reliability ginseng is exported
Number.
Preferably, the index selection unit includes:
The different types of line fault of different number is successively enumerated, every kind of failure is obtained according to the dependability parameter vector
Corresponding probability and Frequency Index, are superimposed the probability and the Frequency Index obtains the reliability assessment index.
Preferably, reliability index selection module further include:
Acquire the minimum value of reliability assessment index respectively according to the minimum value of the dependability parameter and maximum value
And maximum value;
Then the optimized parameter acquisition module 33 includes:
The number of iterations K=0, the then current reliability assessment index Ak=Amin;Wherein, the maximum value of the number of iterations
Equal to the number of parameters of the dependability parameter vector;
When the current reliability assessment index is less than the predetermined reliability index, then Amin=Ak, RSmax=
RS, k,
When the current reliability assessment index is greater than the predetermined reliability index, then Amax=Ak, RSmin=
RS, k,Wherein, AminFor the minimum of the dependability parameter
Value, AkFor the current dependability parameter, RSmaxFor the maximum value of the reliability assessment index, RS, kFor can described in current
By property evaluation index, AmaxFor the maximum value for stating dependability parameter, RSminFor the maximum value of the reliability assessment index, Ak+1For
Updated dependability parameter.
Preferably, the reliability assessment index corresponding to the new dependability parameter inputs the reliability optimal Decomposition
When model is unsatisfactory for the preset convergence precision, enable k=k+1, execute step according to the reliability assessment index with it is described
The size of predetermined reliability index compares, and carries out linear interpolation respectively, to obtain the updated dependability parameter.
Preferably, the dependability parameter acquiring unit further include:
Export the corresponding reliability index of the updated dependability parameter and the number of iterations.
Implement the present embodiment to have the following beneficial effects:
Obtain reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model includes objective function and constraint
Condition;The dependability parameter of the DC transmission system element is obtained, to obtain dependability parameter vector;Wherein, described reliable
Property parameter vector includes the minimum value and maximum value of the dependability parameter;According to the dependability parameter vector, described reliable
Property optimal Decomposition model and preset convergence precision optimal dependability parameter obtained using dichotomy.Based on system reliability with
The changing rule that component reliability is monotonically changed proposes that the dichotomy of Polynuclear complex system reliability optimal Decomposition is asked
Resolving Algorithm.Under the premise of given system reliability index, electric power is realized to Polynuclear complex system using dichotomy
The optimal Decomposition of system reliability is allocated its reliability, reaches global optimum, to realize the conjunction of component reliability parameter
Reason selection.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand
And implement.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
It should be noted that in the above-described embodiments, all emphasizing particularly on different fields to the description of each embodiment, in some embodiment
In the part that is not described in, reference can be made to the related descriptions of other embodiments.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, and related movement and simulation must be that the present invention must
Must.
Claims (10)
1. a kind of DC transmission system reliability optimal Decomposition method characterized by comprising
Obtain reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model includes objective function and constraint condition;
The dependability parameter of the DC transmission system element is obtained, to obtain dependability parameter vector;Wherein, the reliability
Parameter vector includes the minimum value and maximum value of the dependability parameter;
It is obtained according to the dependability parameter vector, the reliability optimal Decomposition model and preset convergence precision using dichotomy
To optimal dependability parameter.
2. DC transmission system reliability optimal Decomposition method according to claim 1, which is characterized in that the acquisition can
By property optimal Decomposition model;Wherein, the other model of the reliability optimal Decomposition includes objective function and constraint condition includes:
Objective function: Min | Rs-RG|;
Constraint condition: Aimin≤Ai≤Aimax;Wherein, RsFor Reliability evaluation index, RGFor scheduled reliability index,
AiminFor the lower limit of the dependability parameter, AiFor the dependability parameter of i-th of element, AimaxFor the dependability parameter
The upper limit.
3. DC transmission system reliability optimal Decomposition method according to claim 2, which is characterized in that described according to institute
State dependability parameter vector, the reliability optimal Decomposition model and preset convergence precision sampling dichotomy obtain it is optimal can
Include: by property parameter
Reliability assessment index is acquired according to the dependability parameter vector;
According to the reliability assessment index compared with the size of the predetermined reliability index, linear interpolation is carried out respectively, with
Obtain updated dependability parameter;
The reliability assessment index corresponding to the updated dependability parameter inputs the reliability optimal Decomposition model
When meeting the preset convergence precision, the updated dependability parameter is exported.
4. DC transmission system reliability optimal Decomposition method according to claim 3, which is characterized in that described according to institute
It states dependability parameter vector and acquires reliability assessment index and include:
The different types of line fault of different number is successively enumerated, it is corresponding to obtain every kind of failure according to the dependability parameter vector
Probability and Frequency Index, be superimposed the probability and the Frequency Index obtain the reliability assessment index.
5. DC transmission system reliability optimal Decomposition method according to claim 3, which is characterized in that
It is described that reliability assessment index is acquired according to the dependability parameter vector further include:
Acquire the minimum value and most of reliability assessment index respectively according to the minimum value of the dependability parameter and maximum value
Big value;
Then it is described according to the reliability assessment index compared with the size of the predetermined reliability index, linearly inserted respectively
Value, includes: the number of iterations K=0 with obtained updated dependability parameter, then the current reliability assessment index Ak=
Amin;Wherein, the maximum value of the number of iterations is equal to the number of parameters of the dependability parameter vector;
When the current reliability assessment index is less than the predetermined reliability index, then Amin=Ak, RSmax=RS,k,
When the current reliability assessment index is greater than the predetermined reliability index, then Amax=Ak, RSmin=RS,k,Wherein, AminFor the minimum value of the dependability parameter,
AkFor the current dependability parameter, RSmaxFor the maximum value of the reliability assessment index, RS,kIt is current described reliable
Property evaluation index, AmaxFor the maximum value for stating dependability parameter, RSminFor the maximum value of the reliability assessment index, Ak+1For more
Dependability parameter after new.
6. DC transmission system reliability optimal Decomposition method according to claim 5, which is characterized in that newly may be used described
The reliability assessment index corresponding to the property parameter inputs the reliability optimal Decomposition model and is unsatisfactory for the preset convergence
When precision, k=k+1 is enabled, executes step according to the reliability assessment index compared with the size of the predetermined reliability index,
Linear interpolation is carried out, respectively to obtain the updated dependability parameter.
7. DC transmission system reliability optimal Decomposition method according to claim 3, which is characterized in that described described
Reliability assessment index corresponding to new dependability parameter inputs the reliability optimal Decomposition model and meets the preset receipts
When holding back precision further include:
Export the corresponding reliability index of the updated dependability parameter and the number of iterations.
8. a kind of DC transmission system reliability optimal Decomposition device characterized by comprising
Model obtains module, for obtaining reliability optimal Decomposition model;Wherein, the reliability optimal Decomposition model includes mesh
Scalar functions and constraint condition;
Parameter vector obtains module, for obtaining the dependability parameter of the DC transmission system element, to obtain reliability ginseng
Number vector;Wherein, the dependability parameter vector includes the minimum value and maximum value of the dependability parameter;
Optimized parameter obtains module, is used for according to the dependability parameter vector, the reliability optimal Decomposition model and presets
Convergence precision optimal dependability parameter is obtained using dichotomy.
9. a kind of DC transmission system reliability optimal Decomposition equipment, including processor, memory and it is stored in the storage
In device and it is configured as the computer program executed by the processor, the processor is realized when executing the computer program
DC transmission system reliability optimal Decomposition method as claimed in any of claims 1 to 7 in one of claims.
10. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program, wherein equipment where controlling the computer readable storage medium in computer program operation is executed as weighed
Benefit require any one of 1 to 7 described in DC transmission system reliability optimal Decomposition method.
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