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 PDF

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Publication number
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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China
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reliability
dependability parameter
optimal decomposition
index
transmission system
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Inventor
李凌飞
胡博
黄莹
伏坚
何智鹏
周家浩
姬煜轲
彭吕斌
侯婷
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Chongqing University
Research Institute of Southern Power Grid Co Ltd
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Chongqing University
Research Institute of Southern Power Grid Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/60Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]

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

DC transmission system reliability optimal Decomposition method, apparatus, equipment and medium
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.
CN201811547747.3A 2018-12-11 2018-12-17 DC transmission system reliability optimal Decomposition method, apparatus, equipment and medium Pending CN109728593A (en)

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Application publication date: 20190507