CN103093396B - The method and system of assessment grid nodes reliability - Google Patents

The method and system of assessment grid nodes reliability Download PDF

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CN103093396B
CN103093396B CN201310035156.9A CN201310035156A CN103093396B CN 103093396 B CN103093396 B CN 103093396B CN 201310035156 A CN201310035156 A CN 201310035156A CN 103093396 B CN103093396 B CN 103093396B
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reliability
node
coefficient
electrical network
dependability parameter
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CN103093396A (en
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林少华
刘嘉宁
占才亮
鲁跃峰
李普明
孟子杰
李博
唐雨晨
梁亮
宋宇骞
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Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Abstract

The invention provides a kind of method and system of assessing grid nodes reliability, its method comprises step: reception reliability assessment instruction, obtains electric network composition information and related elements information according to this reliability assessment instruction; According to the coefficient of reliability of the each connection line of described electric network composition Information generation, generate the coefficient of reliability of each node according to described component information; Determine the dependability parameter of each node according to the coefficient of reliability of the coefficient of reliability of each described connection line and each described node, the present invention can assess the reliability of electrical network simply, fast, efficiently.

Description

The method and system of assessment grid nodes reliability
Technical field
The present invention relates to power technology field, particularly relate to a kind of method of assessing grid nodes reliability andSystem.
Background technology
Along with scale and the complexity of power system constantly increase, in order to ensure the safety of Operation of Electric SystemsHigh-quality stable and power supply is reliable, in each stage of the planning of power system, design and running, all needsCarry out reliability assessment, ensure abundant intensity and the security of power system. In planning and design phase, reliableProperty assessment relates generally to prediction electric weight demand, recognition system weak link, prioritization scheme, the large disturbance of minimizingAffect, guarantee enough spare capacities etc.; And in the operation phase, the main purpose of reliability assessment is to guaranteeThe reliability of the various methods of operation, while guaranteeing equipment component scheduled overhaul system can be normal, stable operation etc.
It is to calculate and stability Calculation by trend that existing electric network reliability is assessed a kind of mode, and another way isUtilize the model algorithm of reliability assessment, but all more complicated of existing these two kinds of modes, computing time also thanLonger.
Summary of the invention
The invention reside in a kind of method and system of assessing grid nodes reliability is provided, can be simply, quick,The reliability of assessment electrical network efficiently.
Object of the present invention is achieved through the following technical solutions:
A method of assessing grid nodes reliability, comprises the steps:
Reception reliability assessment instruction, obtains electric network composition information and relevant unit according to this reliability assessment instructionPart information;
According to the coefficient of reliability of the each connection line of described electric network composition Information generation, according to described component informationGenerate the coefficient of reliability of each node;
Determine each joint according to the coefficient of reliability of the coefficient of reliability of each described connection line and each described nodeThe dependability parameter of point.
A system of assessing grid nodes reliability, comprising:
Data transmission module, for reception reliability assessment instruction, obtains electricity according to this reliability assessment instructionWeb frame information and related elements information;
Element coefficient generation module, for according to the reliability of the each connection line of described electric network composition Information generationCoefficient, generates the coefficient of reliability of each node according to described component information;
Calculation of Reliability module, for according to the coefficient of reliability of each described connection line and each described nodeCoefficient of reliability is determined the dependability parameter of each node.
According to the scheme of the invention described above, it is receiving after reliability assessment instruction, according to this reliabilityAssessment instruction obtains electric network composition information and related elements information, can be according to described electric network composition Information generationThe coefficient of reliability of each connection line, can also generate according to described component information the coefficient of reliability of each node,Determine each node according to the coefficient of reliability of the coefficient of reliability of each described connection line and each described node againDependability parameter, due to the angle assessment electric network reliability from electric network composition, and can consider fromSenior core network is to the power connecting between each transformer station in its subordinate's electrical networks at different levels, thereby judgement is everyThe dependability parameter of individual transformer station is found the weak link of electrical network simultaneously, has of overall importance preferably, and fastVictory is directly perceived, assess effectiveness is high, can be used for when electrical network Real-Time Scheduling is in service needs cut-out overhaul of the equipmentsReliability decision, a kind of mode of reliability assessment while also can be used as Electric Power Network Planning.
Brief description of the drawings
Fig. 1 is the schematic flow sheet that the present invention assesses the embodiment of the method for grid nodes reliability;
Fig. 2 is the structural representation of system under evaluation in embodiment 1;
Fig. 3 is the structural representation of system under evaluation in embodiment 2 and embodiment 3;
Fig. 4 is the structural representation that the present invention assesses the system embodiment of grid nodes reliability;
Wherein, in Fig. 2~Fig. 3: a-220KV transformer station, b-220KV circuit, c-110KV power transformationStand, d-110KV circuit, e-220KV circuit (different tower double back), f-110KV circuit (common-tower double-return),G-35KV transformer station, h-35KV circuit.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, the present invention is further elaborated, but implementation of the present invention is not limitIn this.
Shown in Figure 1, for the present invention assesses the schematic flow sheet of the embodiment of the method for grid nodes reliability,As shown in Figure 1, the method for the assessment grid nodes reliability in this embodiment comprises the steps:
Step S101: reception reliability assessment instruction, obtains electric network composition letter according to this reliability assessment instructionBreath and related elements information, enter step S102;
Electric network composition information and component information can be obtained from control centre's system or other data sources, dataObtain real-time and convenient; Component information comprises coefficient of reliability definition, each node (of all types of elementsAs refer to transformer station's node) importance index etc.;
Step S102: according to the coefficient of reliability of the each connection line of described electric network composition Information generation, according to instituteState the coefficient of reliability that component information generates each node, enter step S103;
Step S103: according to the coefficient of reliability of the coefficient of reliability of each described connection line and each described nodeDetermine the dependability parameter of each node;
What above-mentioned coefficient of reliability was reacted is node faults itself possibility, and dependability parameter is to considerBetween node, self reliability of the strong and weak and node of connection draws.
Accordingly, according to the scheme of above-mentioned the present embodiment, it is receiving reliability assessment instruction, according to thisReliability assessment instruction obtains electric network composition information and related elements information, can be according to described electric network composition letterBreath generates the coefficient of reliability of each connection line, and generates the reliability system of each node according to described component informationNumber, determines each joint according to the coefficient of reliability of the coefficient of reliability of each described connection line and each described nodeThe dependability parameter of point, due to the angle assessment electric network reliability from electric network composition, and can consider fromHighest core network is to the power of connection between each transformer station in its subordinate's electrical networks at different levels, therebyJudge the dependability parameter of each transformer station, find the weak link of electrical network simultaneously, have of overall importance preferably,And quick directly perceived, assess effectiveness is high, can be used for that electrical network Real-Time Scheduling is in service needs cut-out overhaul of the equipmentsTime reliability decision, a kind of mode of reliability assessment while also can be used as Electric Power Network Planning.
In an embodiment, the described reliability according to the each circuit of described electric network composition Information generation is thereinNumber comprises step: the connection matrix that characterizes connection line reliability according to described electric network composition Information generation; InstituteState the coefficient of reliability that characterizes each node according to described component information generation and comprise step: according to described element letterBreath generates the node coefficient matrix that characterizes transformer station reliability, planned and obtained each node by the mode of matrixThe coefficient of reliability of coefficient of reliability and each connection line, can facilitate calling of data.
For example, can characterize according to described electric network composition Information generation the connection matrix C of circuit reliability, wherein,Element c in connection matrix CkijWith in digital representation k level electrical network, direct phase between node i and node jThe coefficient of reliability of the circuit connecting, as, single back line: ckij=0.95, common-tower double-return circuit: ckij=0.98Deng; If be directly connected c between node i and jkij=0, meanwhile, the syndeton square of subordinate's electrical networkBattle array also comprises the node being attached thereto in upper level electrical network. According to actual needs, each element in connection matrix CBig or small determine can consider returning number, the whether same tower of multi-line, whether using same circuit of circuitThe factors such as corridor, line length, geography information, more accurate to ensure data.
For example, can generate the node coefficient matrix B that characterizes node reliability according to described component information, wherein,Element b in node coefficient matrix BkiRepresent in k level electrical network, self coefficient of reliability of node i, thisDetermining of coefficient magnitude can consider the factors such as bus wiring type, Substation Design, to ensure dataMore accurate, if the transformer station of double bus scheme self coefficient of reliability is higher than the transformer station of single bus scheme.
In an embodiment, in above-mentioned steps S103, calculate the dependability parameter of each node and can adopt thereinRealize by following mode: first calculate the dependability parameter of the each node of highest voltage level electrical network (k=1), itThe dependability parameter of the each node of next stage (k=2) electrical network of rear calculating highest voltage level electrical network, the rest may be inferredTo the last one-level electrical network, calculate other electrical networks at different levels except voltage levels electrical network each node canWhile leaning on property parameter, be: according to the connection of the connection of upper level electrical network and electrical network at the corresponding levels and the each node of electrical network at the corresponding levelsDetermine the dependability parameter of the each node of electrical network at the corresponding levels, wherein, generally backbone network is defaulted as to highest voltage levelElectrical network, also can manually specify. It should be noted that, according to the connection of upper level electrical network and electrical network at the corresponding levels withAnd indication upper level electrical network in the dependability parameter of the each node of electrical network at the corresponding levels is determined in the connection of the each node of electrical network at the corresponding levelsBe the electrical network of general reference other grades except afterbody electrical network, and not refer to the electrical network of a certain a specific order; At the corresponding levelsElectrical network is made a general reference the electrical network of other grades except voltage levels electrical network, also not refers to the electricity of a certain a specific orderNet; In actual applications, electrical networks at different levels can be according to serving as the corresponding levels at the different operating that do not carried out in the same timeElectrical network or upper level electrical network.
Concrete process can be: first, from trunk electrical network, calculate the dependability parameter of each node.Trunk electrical network (k=1) is defaulted as highest voltage level electrical network, also can manually specify. Trunk grid nodes canComputational methods by property parameter are, taking the node i of core network as example, from ckijIn find the item that is not 0,Represent the circuit being directly connected with node i, and (bkj*ckij) circuit that represents node j and be connected with iTrouble-free probability. The circuit being connected with node i has at least a trouble-free probability to be:
P1i=[1-(1-b11*c1i1)*(1-b12*c1i2)*...*(1-b1n*c1in)]
P1iBe multiplied by again the coefficient of reliability b of node i self1i, obtain R1i, be the final reliability of node iParameter.
Calculate afterwards electrical network (k=2) the node dependability parameter of trunk electrical network next stage. Now need to use itBefore the R that obtains1iReplace B1i, because upper level grid nodes as power supply to subordinate's mains supply, calculateSubordinate should adopt the combined reliability parameter of upper level grid nodes instead of self coefficient to enter when electric network reliabilityRow calculates. The node that search is directly connected with trunk electrical network, now only considers that trunk electrical network supplies to these nodesElectricity, calculates its dependability parameter R2iAnd replace corresponding B2i, then derive to all nodes of electrical network at the corresponding levels always.
The rest may be inferred one-level electrical network to the last. After completing, calculating can obtain the node reliability of whole electrical networkParameter.
In addition, in an embodiment, after step S103, can also comprise step: according to each joint thereinThe importance index of point is shone upon the reliability index that obtains each node to its dependability parameter. This reliabilityThe acquisition of index determines by importance two aspects of node dependability parameter and this node, for example, and a certain nodeAlthough dependability parameter is lower, because its importance is also lower, the reliability index finally obtaining can beHigher, index index can more directly be reacted the reliability situation of node.
As previously mentioned, just comprise the importance index of node in the initial component information obtaining, importance refers toMark is different, and the mapping relations that need to use in the time of mapping are also different, and these mapping relations also can basisThe actual conditions of electrical network are set, be mainly respectively corresponding each importance index setting dependability parameter withCorresponding relation between reliability index, for example, for a trunk grid nodes, its dependability parameter is0.998, importance index is key node, and corresponding mapping relations are: dependability parameter is greater than at 0.997 o'clock,Reliability index is that reliability is high, and dependability parameter (comprises 0.995 and 0.997) between 0.995 and 0.997Time, reliability index for still can, dependability parameter is less than 0.995, reliability index is that reliability is low, rootAccording to these mapping relations, the reliability index of this node is that reliability is high.
Below by several specific embodiments, the invention will be further described.
Embodiment 1
As shown in Figure 2, system under evaluation has two electric pressures. Definition circuit coefficient of reliability is: 220KVThe coefficient of reliability of single back line is that the coefficient of reliability of the different tower double-circuit line of 0.95,220KV is 0.99,The coefficient of reliability of 110KV single back line is that the coefficient of reliability of 0.95,110KV common-tower double-return circuit is0.985; Defined node coefficient of reliability is: the coefficient of reliability of 220KV transformer station is that 0.99,110KV becomesThe coefficient of reliability in power station is 0.99. You need to add is that the definition of the carrying out to coefficient correlation in embodimentOnly, for setting forth of the present invention giving an example, in practical operation, can carry out different definition according to actual conditions, butAll within the protection domain of this patent.
Comprise above-mentioned definition in the component information of obtaining, according to above definition, have:
220KV electrical network (first order) connection matrix:
C1=[00.990.950.9900.950.950.950];
220KV-110KV electrical network (second level) connection matrix:
C 2 = 0 0.99 0.95 0 0.95 0 0 0.99 0 0.95 0 0 0.95 0 0.95 0.95 0 0.985 0 0 0 0 0 0.985 0 0 0 0 0.95 0 0 0 0 0.95 0.95 0 0.95 0 0 0.95 0 0.95 0 0 0 0 0.95 0.95 0
First, determine the dependability parameter of 220KV looped network according to following formula:
P1i=[1-(1-b1*c1i1)*(1-b2*c1i2)*(1-b13*c1i3)]
R1i=P1i*B1i
The dependability parameter that obtains three 220KV transformer stations is:
R=[0.9888,0.9888,0.9865];
Secondly, determine the dependability parameter of four 110KV transformer stations: replace respectively with R1, R2, R3B1, B2, B3, then consider the part that next stage network is directly connected with core network:
R24=[1-(1-R13*C234)]*B4=0.9620
R25=[1-(1-R11*C215)*(1-B6*C256)]*B5=0.9863;
R26=[1-(1-R12*C226)*(1-B5*C267)]*B6=0.9863;
Transformer station 7 can be powered by transformer station 5 or 6:
R27=[1-(1-R25*C257)*(1-R26*C267)]*B7=0.9861;
So far node dependability parameter has calculated. The dependability parameter that can see transformer station 4 a little less thanTransformer station 5,6 and 7, this be on the one hand because the dependability parameter of its power supply source transformer station 3 a little less than power transformationStanding 1 and 2, is to only have a common-tower double-return circuit because connect the circuit of transformer station 4 on the other hand, and power transformationStand and 5,6 be connected by looped network with 7.
Can also follow the reliability index of predicate node, for example, the dependability parameter of transformer station 1 is again0.9888, importance index is key node, if the mapping relations of corresponding key node are: dependability parameterBe greater than 0.99 o'clock reliability index for reliable, reliability index (comprises 0.985 He between 0.985 to 0.990.99) between time reliability index for still can, it is reliability that reliability index is less than 0.985 o'clock reliability indexPoor, the reliability index of transformer station 1 is for still can.
Embodiment 2
As shown in Figure 3, system under evaluation has 3 electric pressures. Definition circuit coefficient of reliability is: 220KVThe coefficient of reliability of single back line is that the coefficient of reliability of the different tower double-circuit line of 0.95,220KV is 0.99,The coefficient of reliability of 110KV single back line is that the coefficient of reliability of 0.95,110KV common-tower double-return circuit isThe coefficient of reliability of 0.985,35KV single back line is 0.95; Defined node coefficient of reliability is: 220KVThe coefficient of reliability of transformer station is that the coefficient of reliability of 0.99,110KV transformer station is 0.99,35KV power transformationThe coefficient of reliability of standing is 0.98.
Comprise above-mentioned definition in the component information of obtaining, according to above definition, have:
First, determine the dependability parameter of 220KV transformer station 1,2. Can obtain:
R1=[0.9703,0.9703];
The dependability parameter of Zai Suan 110KV transformer station 3:
R23=[1-(1-R1*C213)(1-R2*C223)]*B3=0.9839;
The dependability parameter of Zai Suan 35KV transformer station 4:
R34=[1-(1-R23*C334)]*B4=0.9160;
Can see, owing to only having single back line power supply, the dependability parameter of 35KV transformer station 4 is obviously lower.
The reliability index of predicate node afterwards. Because the importance index of 35KV transformer station is lower than 220KVAnd 110KV transformer station, although the dependability parameter of transformer station 4 is starkly lower than other transformer station, its reliabilityIndex still will determine according to mapping relations corresponding to its importance.
Embodiment 3
The present embodiment still adopts the system of Fig. 3 and the coefficient of reliability definition identical with embodiment 2, andDifferent is the line maintenance disconnection between the present embodiment imitating substation 2 and transformer station 3. Now:
The dependability parameter of 220KV transformer station 1,2:
R1=[0.9703,0.9703];
The dependability parameter of 110KV transformer station:
R23=[1-(1-R1*C213)]*B3=0.9126;
The dependability parameter of Zai Suan 35KV transformer station:
R34=[1-(1-R23*C334)]*B4=0.8496;
Can see, due to a line maintenance, the reliability of 110KV transformer station and 35KV transformer station allDecline to a great extent. The now reliability index of decision node again, as 110KV transformer station need to reach 0.97 canLean on property, and 35KV transformer station need reach 0.90 reliability, transformer station 3,4 all will be judged as reliablyProperty is poor.
According to the method for the assessment grid nodes reliability of the invention described above, the present invention also provides a kind of assessment electricityThe system of net node reliability, below with regard to the concrete example of the system of assessment grid nodes reliability of the present inventionBe elaborated.
As shown in Figure 4, for the present invention assesses the structural representation of the system embodiment of grid nodes reliability,It comprises: data transmission module 201, element coefficient generation module 202, Calculation of Reliability module 203, itsIn:
Data transmission module 201, for reception reliability assessment instruction, obtains according to this reliability assessment instructionElectric network composition information and related elements information, wherein, electric network composition information and component information can be from schedulingFeel concerned about system or other data sources and obtain, obtaining of data is real-time and convenient; Component information comprises all types of unitsThe information such as coefficient of reliability definition, the importance index of each node (referring generally to transformer station's node) of part,When specific implementation, this module can adopt fiber optic Ethernet system, to improve the speed of data acquisition and transmission,But be also not limited to this mode;
Element coefficient generation module 202, reliable for according to the each connection line of described electric network composition Information generationProperty coefficient, generates the coefficient of reliability of each node according to described component information;
Calculation of Reliability module 203, for according to the coefficient of reliability of each described connection line and each described nodeCoefficient of reliability determine the dependability parameter of each node;
Wherein, what above-mentioned coefficient of reliability was reacted is node faults itself possibility, and dependability parameter is comprehensiveClose and consider that self reliability of the strong and weak and node of connection between node draws.
Accordingly, according to the scheme of the present embodiment, it is to receive reliability assessment at data transmission module 201Instruction, obtains after electric network composition information and related elements information element coefficient according to this reliability assessment instructionGeneration module 202 can be according to the coefficient of reliability of the each circuit of described electric network composition Information generation, all right rootGenerate the coefficient of reliability of each node according to described component information, Calculation of Reliability module 203 is again according to described in eachThe coefficient of reliability of connection line and the coefficient of reliability of each described node are determined the reliability ginseng of each nodeNumber, because electric network composition information and component information can be obtained from control centre's system or other data sources,Obtaining of data is real-time and convenient, in addition, and due to the angle assessment electric network reliability from electric network composition, and canBetween each transformer station, connect the electrical networks at different levels from highest voltage level electrical network to its subordinate to considerPower, thus judge the dependability parameter of each transformer station, find the weak link of electrical network simultaneously, haveGood is of overall importance, and quick directly perceived, assess effectiveness is high, can be used for that electrical network Real-Time Scheduling is in service needs excisionReliability decision when equipment component maintenance, a kind of mode of reliability assessment while also can be used as Electric Power Network Planning.
In an embodiment, element coefficient generation module 202 can be according to described electric network composition information thereinGenerate the connection matrix that characterizes circuit reliability, generate the joint that characterizes node reliability according to described component informationDot factor matrix, specifically can be by above-mentioned in embodiment corresponding to the method for assessment grid nodes reliabilityRelevant mode realizes, and does not repeat them here.
Wherein, generally need to consider returning number, the whether same tower of multi-line, being of circuit when connection matrix obtainingThe factors such as the same circuit of no use corridor, line length, geography information; At definite described node coefficient matrixTime generally need to consider the factors such as bus wiring type, Substation Design, to ensure connection matrix and node systemData in matrix number are more accurate.
Therein in an embodiment, first Calculation of Reliability module 203 determines highest voltage level electrical networkThe dependability parameter of each node, definite principle of other electrical networks at different levels is: according to upper level electrical network and electricity at the corresponding levelsThe dependability parameter of the each node of electrical network at the corresponding levels is determined in the connection of net and the connection of the each node of electrical network at the corresponding levels, concreteCan realize by relevant mode in embodiment corresponding to the above-mentioned method assessing grid nodes reliability,It will not go into details for this.
In addition, in an embodiment, Calculation of Reliability module 203 can also be used for according to each node thereinImportance index its dependability parameter is carried out mapping calculation and is obtained the reliability index of each node. This is reliableProperty index acquisition determined by importance index two aspects of node dependability parameter and this node, for example, certainAlthough a node dependability parameter is lower, because its importance index is also lower, the reliability finally obtainingIndex can be higher. As previously mentioned, in the initial component information obtaining, just comprise the important of nodeProperty index, importance index difference, the mapping relations that need to use in when mapping are also different, and this reflectsPenetrating relation and also can set according to the actual conditions of electrical network, is mainly to distinguish corresponding each importance indexSet the corresponding relation between dependability parameter and reliability index, for example, for a trunk grid nodes,Its dependability parameter is 0.998, and importance index is key node, and corresponding mapping relations are: reliability ginsengNumber is greater than at 0.997 o'clock, and reliability index is that reliability is high, and dependability parameter is between 0.995 and 0.997When (comprising 0.995 and 0.997), reliability index for still can, dependability parameter is less than 0.995, reliabilityIndex is that reliability is low, and according to these mapping relations, the reliability index of this node is that reliability is high.
The grid nodes reliability evaluation system of the invention described above, can utilize DSP, FPGA, CPLD,The PLDs such as EPLD are realized in conjunction with necessary digital device and analog device, but are also not limited to thisA little modes.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed,But can not therefore be interpreted as the restriction to the scope of the claims of the present invention. It should be pointed out that for this areaThose of ordinary skill, without departing from the inventive concept of the premise, can also make some distortion andImprove, these all belong to protection scope of the present invention. Therefore, the protection domain of patent of the present invention should be with appendedClaim is as the criterion.

Claims (8)

1. a method of assessing grid nodes reliability, is characterized in that, comprises the steps:
Reception reliability assessment instruction, obtains electric network composition information and relevant unit according to this reliability assessment instructionPart information;
According to the coefficient of reliability of the each connection line of described electric network composition Information generation, according to described component informationGenerate the coefficient of reliability of each node;
Determine each joint according to the coefficient of reliability of the coefficient of reliability of each described connection line and each described nodeThe dependability parameter of point, wherein, what described coefficient of reliability was reacted is node faults itself possibility, described inSelf reliability that dependability parameter considers the strong and weak and node of connection between node draws;
Wherein, the described dependability parameter of determining each node comprises each joint of determining highest voltage level electrical networkPoint dependability parameter step and respectively save according to the connection of upper level electrical network and electrical network at the corresponding levels and electrical network at the corresponding levelsThe step of the dependability parameter of the each node of electrical network at the corresponding levels is determined in the connection of point;
Wherein, the step of the dependability parameter of each node of described definite highest voltage level electrical network comprises:
According to Pli=[1-(1-b11*cli1)*(1-b12*cli2)*...*(1-bln*clin)] determine highest voltage levelThe circuit being connected with node i in electrical network has a trouble-free probability at least, wherein, and b11,b12...blnRepresentThe coefficient of reliability of the each node being connected with node i in highest voltage level electrical network, cli1、cli2、...clinRepresentThe coefficient of reliability of the circuit being connected with node i in highest voltage level electrical network;
Again by PliBe multiplied by again the coefficient of reliability b of node i selfli, obtain Rli, wherein, RliFor the highest electricityPress the dependability parameter of the node i of grade electrical network;
Wherein, described according to the connection of the connection of upper level electrical network and electrical network at the corresponding levels and the each node of electrical network at the corresponding levelsThe step of determining the dependability parameter of the each node of electrical network at the corresponding levels comprises: by the reliability ginseng of upper level grid nodesNumber is replaced the coefficient of reliability of upper level grid nodes.
2. the method for assessment grid nodes reliability according to claim 1, is characterized in that, describedAccording to the coefficient of reliability of the each connection line of described electric network composition Information generation, generate each according to described component informationThe coefficient of reliability of node comprises step: characterize connection line reliability according to described electric network composition Information generationConnection matrix, generate the node coefficient matrix that characterizes node reliability according to described component information.
3. the method for assessment grid nodes reliability according to claim 2, is characterized in that, according to electricityWeb frame information and circuit return number, the whether same tower of multi-line, whether use same circuit corridor, circuitLength, geography information are determined described connection matrix; According to described component information and bus wiring type, changePower Plant Design is determined described node coefficient matrix.
4. according to the method for the assessment grid nodes reliability one of claims 1 to 3 Suo Shu, it is characterized in that,Determine each in the described coefficient of reliability according to the coefficient of reliability of each described connection line and each described nodeAfter the dependability parameter of node, also comprise step:
According to the importance of each node, its dependability parameter being carried out to the reliability that mapping calculation obtains each node refers toMark.
5. a system of assessing grid nodes reliability, is characterized in that, comprising:
Data transmission module, for reception reliability assessment instruction, obtains electricity according to this reliability assessment instructionWeb frame information and related elements information;
Element coefficient generation module, for according to the reliability of the each connection line of described electric network composition Information generationCoefficient, generates the coefficient of reliability of each node according to described component information;
Calculation of Reliability module, for according to the coefficient of reliability of each described connection line and each described nodeCoefficient of reliability is determined the dependability parameter of each node, and wherein, what described coefficient of reliability was reacted is nodeFaults itself possibility, described dependability parameter is to consider oneself of the strong and weak and node of connection between nodeBody reliability draws;
Wherein, described Calculation of Reliability module is determined the dependability parameter of each node of highest voltage level electrical network,And determine electrical network at the corresponding levels according to the connection of the connection of upper level electrical network and electrical network at the corresponding levels and the each node of electrical network at the corresponding levelsThe dependability parameter of each node;
Wherein, the dependability parameter of each node of described definite highest voltage level electrical network comprises: according to Pli=[1-(1-b11*cli1)*(1-b12*cli2)*...*(1-bln*clin)] determine in highest voltage level electrical network and node iThe circuit connecting has a trouble-free probability at least, wherein, and b11,b12...blnRepresent highest voltage level electricityThe coefficient of reliability of the each node being connected with node i in net, cli1、cli2、...clinRepresent highest voltage level electricityThe coefficient of reliability of the circuit being connected with node i in net; Again by PliBe multiplied by again the reliability system of node i selfNumber bli, obtain Rli, wherein, RliFor the dependability parameter of the node i of highest voltage level electrical network;
Wherein, true according to the connection of the connection of upper level electrical network and electrical network at the corresponding levels and the each node of electrical network at the corresponding levelsWhile determining the dependability parameter of the each node of electrical network at the corresponding levels, with the dependability parameter replacement upper of upper level grid nodesThe coefficient of reliability of level grid nodes.
6. the system of assessment grid nodes reliability according to claim 5, is characterized in that, described unitPart coefficient generation module characterizes the connection matrix of connection line reliability according to described electric network composition Information generation,Generate the node coefficient matrix that characterizes node reliability according to described component information.
7. the system of assessment grid nodes reliability according to claim 6, is characterized in that, described unitPart coefficient generation module according to electric network composition information and circuit return number, the whether same tower of multi-line, whether makeDetermine described connection matrix by same circuit corridor, line length, geography information; According to described component informationAnd bus wiring type, Substation Design are determined described node coefficient matrix.
8. according to the system of the assessment grid nodes reliability one of claim 5 to 7 Suo Shu, it is characterized in that,Described Calculation of Reliability module is also for carrying out mapping calculation according to the importance of each node to its dependability parameterObtain the reliability index of each node.
CN201310035156.9A 2013-01-29 2013-01-29 The method and system of assessment grid nodes reliability Active CN103093396B (en)

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CN103413251A (en) * 2013-08-22 2013-11-27 国家电网公司 Method and system for evaluating reliability of power network
CN103559646A (en) * 2013-10-10 2014-02-05 国家电网公司 Power distribution network reliability quadratic optimization assessment method facing power distribution reliability
CN103995921B (en) * 2014-04-22 2017-08-08 广东电网公司电力科学研究院 A kind of simulation evaluation method of microgrid electric power system reliability
CN105242156B (en) * 2015-11-18 2017-12-19 莫毓昌 A kind of performance reliability assessment method towards electric power networks
CN107194594B (en) * 2017-05-26 2019-12-13 中国南方电网有限责任公司超高压输电公司天生桥局 IEC 61850-based back-to-back converter station physical information system reliability evaluation method

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102682407A (en) * 2012-04-06 2012-09-19 广东电网公司电力科学研究院 Comprehensive reliability assessment method for 500kV terminal substation

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8321804B2 (en) * 2007-07-26 2012-11-27 Areva T & D, Inc. Methods for assessing reliability of a utility company's power system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102682407A (en) * 2012-04-06 2012-09-19 广东电网公司电力科学研究院 Comprehensive reliability assessment method for 500kV terminal substation

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Reliability Evaluation of Power-Generating Systems Including Time-dependent Sources Based on Binary Particle Swarm Optimization;Wang Lingfeng等;《2007 IEEE Congress on Evolutionary Computation》;20071231;第3346-3352页 *
基于割集法的输电网分区可靠性分析评估;梁文举等;《百度文库:http://wenku.baidu.com/link?url=qhQovcuNfDhWmPGDwxbycZo6cI3Mtsig03WH9kNaIpn6qzdKdIAGmODOyzjWQRGgQEQrxCMHcs8nbKkSJz3EMYhJiJpOuYhJ_DDI_tPUdPe》;20121220;第1584-1589页 *
基于图论的复杂配电网可靠性评估方法;束洪春等;《电网技术》;20061115;第30卷(第21期);第46-49页 *

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