CN110071500B - Method and system for decision-making of power distribution line recovery sequence after bus fault power loss - Google Patents

Method and system for decision-making of power distribution line recovery sequence after bus fault power loss Download PDF

Info

Publication number
CN110071500B
CN110071500B CN201910280812.9A CN201910280812A CN110071500B CN 110071500 B CN110071500 B CN 110071500B CN 201910280812 A CN201910280812 A CN 201910280812A CN 110071500 B CN110071500 B CN 110071500B
Authority
CN
China
Prior art keywords
line
sequence
index
distribution line
classification model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910280812.9A
Other languages
Chinese (zh)
Other versions
CN110071500A (en
Inventor
霍健
施冬明
尹茂林
林祺蓉
刘铭超
牛阳
孙雯
刘博�
李莉
瞿寒冰
刘红霞
林山
杨福
贾玉健
邢建
何峰军
马文霞
刘琛
王承勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201910280812.9A priority Critical patent/CN110071500B/en
Publication of CN110071500A publication Critical patent/CN110071500A/en
Application granted granted Critical
Publication of CN110071500B publication Critical patent/CN110071500B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Power Engineering (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a method and a system for deciding a recovery sequence of a distribution line after a bus fault and power failure. And finally, determining the total sequence of each line for each evaluation index in the user evaluation classification model by using a sequence method, and obtaining a recovery sequence after the power failure of the distribution line. Based on the method, a power distribution line recovery sequence decision-making system is also provided. The invention ensures that important users can recover power transmission at the highest speed, establishes a hierarchical analysis model for determining the optimal recovery sequence of the distribution line, and integrates various factors such as social and economic losses caused by power loss of the distribution line into the hierarchical analysis model, thereby facilitating calculation and modeling. On the basis of the hierarchical model, the relative order and the total order are calculated by using a level preference order method, so that better operability is achieved.

Description

Method and system for decision-making of power distribution line recovery sequence after bus fault power loss
Technical Field
The invention relates to the technical field of power system transportation scheduling, and particularly provides a method and a system for determining a recovery sequence of a distribution line after a bus fault and power failure.
Background
For 220kV, 110kV and 35kV transformer substations with 20kV, 10kV or 6kV feeder lines running, the transformer substation power failure accident caused by the faults of the upper-level power supply or the main transformer and the bus in the substation can cause the 20kV, 10kV or 6kV feeder lines directly supplying power to users to be completely lost, and the power supply of the bus, the substation transformer and part of feeder line loads is recovered through the load transfer capacity between the transformer substations through the distribution interconnection lines of other transformer substations. On one hand, the load transfer capacity between the transformer substations is limited, and all power-loss loads cannot be recovered, and on the other hand, the operation with a complex recovery process needs a long time, and important users cannot be guaranteed to recover power transmission at the highest speed. In the recovery process, the condition that each feeder line supplies power to users needs to be comprehensively considered, and the emergency degree of power recovery of the distribution line and the post-accident recovery sequence are determined. According to the classification principle of power users, the power users are classified into three levels according to the loss degree of personal injury, politics, economy and the like caused by power supply interruption, but the definition of the classification of the power load in the related standard is over rationalization and can be used as a guide principle and a quantification standard to evaluate the important degree of the users and lines, and the operation difficulty is relatively high.
The Chinese patent [201610305304.8] proposes the division principle of important users; analyzing the configuration of an important user power supply structure in the jurisdiction range; on the basis of the traditional power grid accident handling emergency plan, important user fault handling and rapid power supply recovery plans are compiled. However, the method only aims at a few important users, the importance degree of the users carried by the users is not evaluated by taking the feeder line as a unit, and the emergency degree and the recovery sequence of the recovery power supply of the substation feeder line after power failure cannot be evaluated on the basis of the analysis of the important users.
Chinese patent [20161106707.0] provides a method for power restoration and switch operation sequence generation after bus voltage loss fault, a CSP model of a power distribution network is established, and an optimal solution meeting constraint conditions is searched by adopting a dynamic asynchronous backtracking algorithm, but only a target function of the method is still limited to physical conditions of minimum loss load, few switch operation times and the like, and the importance degree of a user is not considered.
The Chinese patent [201610305304.8] proposes the division principle of important users; analyzing the configuration of an important user power supply structure in the jurisdiction range; on the basis of the traditional power grid accident handling emergency plan, an important user fault handling and rapid power supply recovery plan is compiled. However, the method only aims at a few important users, the importance degree of the users carried by the users is not evaluated by taking the feeder line as a unit, and the emergency degree and the recovery sequence of the recovery power supply of the substation feeder line after power failure cannot be evaluated on the basis of the analysis of the important users.
Chinese patent [20161106707.0] provides a method for generating power supply recovery and switching operation sequence after bus voltage loss fault, a power distribution network CSP model is established, and an optimal solution meeting constraint conditions is searched by adopting a dynamic asynchronous backtracking algorithm, but only a target function of the method is still limited to physical conditions of minimum loss load, few switching operation times and the like, the importance degree of a user is not considered, and the recovery sequence of a power loss feeder line cannot be determined according to the importance degree of a user.
Disclosure of Invention
In view of the above disadvantages, the embodiments of the present invention provide a method and a system for determining a power distribution line restoration sequence after a bus fault and power loss, so as to evaluate the importance degree of a power distribution line with power loss for users, that is, the emergency degree of restoration power supply, and the restoration power supply sequence after an accident power failure, and improve the accuracy and the reasonability of accident handling of a power distribution network.
The invention provides a method for deciding a recovery sequence of a distribution line after a bus fault and power loss, which comprises the following steps:
and establishing a user evaluation classification model by taking the existence, the quantity and the importance degree of typical users supplied by each line as index factors for evaluating the emergency degree of fault recovery.
Establishing an optimal recovery sequence hierarchical classification model based on a user evaluation classification model, and determining the weight of each index factor; the optimal recovery sequence hierarchical classification model comprises a top layer, a middle layer and a bottom layer; the top layer is a target layer; the middle layer is a criterion layer; the bottom layer is a scheme layer;
and determining the total number of the lines for each evaluation index in the user evaluation classification model by using an optimization method to obtain a recovery sequence after the power failure of the distribution lines, wherein the optimization method expresses the importance degree of the load of one line corresponding to the other line by using grades for the same index through grade preference, and then establishes the index number to further determine the total number of the lines.
Further, the establishment method of the criterion layer is that the criterion layer is constructed by a scale methodEstablishing a criterion layer, representing the importance degree of different factors compared in pairs by adopting scale symbols, and determining the weight of each influencing factor by a judgment matrix; the determination matrix R = [ alpha = [ ] ij ] NxN (ii) a The alpha ij Is the ratio of the importance of factor i to factor j; and N is N evaluation factors of the to-be-tested layer.
Further, the diagonal element α of the determination matrix R is ij Is 1, and the main eigenvalue λ of the matrix R is judged max The corresponding characteristic direction is the quantity W = (W) 1 ,w 2 …w N ) T Then alpha ij =w i /w j
Said w i The influence degree of the ith element of the criterion layer on the target layer; said w j Is the degree of influence of the jth element of the criterion layer on the target layer.
Furthermore, the representation mode of the grade comprises a matrix for quantizing the named values and a constructed grade matrix; the expression mode of the matrix of the quantized named values is as follows:
Figure BDA0002021589030000031
max is stated j {f ij Each line has a name value f corresponding to j-th index ij Maximum value of (d); the min j {f ij Each line has a name value f corresponding to the jth index ij Minimum value of (d); said dj = max j {f ij }- min j {f ij }; and h is a series of grades.
Further, the expression manner of the rank matrix is as follows:
G=[ɡ ij ] mxn (ii) a Said g is ij The grade of the jth evaluation index corresponding to the ith line is obtained; m is the number of lines to be recovered; and n is the index number corresponding to the number of the m lines to be recovered.
Further, the index number is expressed in the following manner:
Figure BDA0002021589030000041
b is ilj Is the dominance of the ith line relative to the ith line under the index j.
Further, in b ilj On the basis of the above-mentioned formula (I),
Figure BDA0002021589030000042
b is il The number of the comprehensive priority of the ith line relative to the ith line is set; said w j The weights of the indexes determined by the hierarchical analysis model.
Further, the total number of the priority K of the line i Emergency degree for restoring power transmission with respect to all other lines;
the above-mentioned
Figure BDA0002021589030000043
Said K min Is K i The medium minimum value.
A distribution line restoration sequence decision system after bus fault power loss comprises a classification model building module, a hierarchy model building module and a restoration sequence building module;
the classification model establishing module is used for establishing a user evaluation classification model by taking the existence, the quantity and the importance degree of typical users supplied by each line as index factors for evaluating the failure recovery emergency degree;
the hierarchical model establishing module is used for establishing an optimal recovery sequence hierarchical classification model based on a user evaluation classification model and determining the weight of each index factor;
and the recovery sequence establishing module is used for determining the total sequence number of each line for each evaluation index in the user evaluation classification model by using a sequence optimization method.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
the embodiment of the invention provides a method and a system for deciding a recovery sequence of a distribution line after a bus fault and power failure. And then, establishing an optimal recovery sequence hierarchical classification model based on the user evaluation classification model. And finally, determining the total number of the lines for each evaluation index in the user evaluation classification model by using a priority method to obtain a recovery sequence after the power failure of the distribution lines, wherein the priority method is to express the importance degree of the load of one line corresponding to the other line by using the grade through the grade preference for the same index, then establishing the index number, and further determining the total number of the lines. Based on the method for deciding the recovery sequence of the distribution line after the power failure of the bus, the invention also provides a system for deciding the recovery sequence of the distribution line after the power failure of the bus. The invention integrates the condition of the power supply and take users of the distribution line, calculates the emergency degree of the power restoration of the distribution line, determines the restoration sequence after the power failure of the distribution line and ensures that important users restore power transmission at the highest speed. A hierarchical analysis model for determining the optimal recovery sequence of the distribution line is established, and various factors such as social and economic losses caused by power failure of the distribution line are integrated into the hierarchical analysis model, so that calculation and modeling are facilitated. On the basis of the hierarchical model, the relative sequence number and the total sequence number of the power transmission restoration urgency degree of each power distribution line are calculated by using a level preference sequence method and are used as reference values of the power transmission restoration sequence of the power distribution lines, the difficulty that power failure loss of various users is difficult to quantify is avoided, the power transmission restoration urgency degree of the power distribution lines can be quantitatively expressed only by comparing the importance degrees of the users of the same type, and the operability is better.
Drawings
Fig. 1 is a flowchart of a method for deciding a recovery sequence of a distribution line after a bus fault and power loss in embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of a hierarchical classification model for establishing an optimal recovery sequence according to embodiment 1 of the present invention;
fig. 3 is a connection diagram of a power distribution line restoration sequence decision system after a power failure of a bus according to embodiment 1 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, are merely for convenience of description of the present invention, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
Example 1
The embodiment 1 of the invention provides a method for deciding a power distribution line recovery sequence after a bus fault loses power, which is characterized in that various factors such as social and economic losses caused by power distribution line power loss are integrated into a hierarchical analysis model, and the weight of each factor index is determined by utilizing a hierarchical analysis method; and (3) integrating the power supply user conditions of all the feeder lines, and determining the optimal recovery sequence of the line by using a grade preference optimization method so as to ensure that the most important power supply load is recovered accurately and quickly.
Fig. 1 is a flowchart of a method for determining a recovery sequence of a distribution line after a power failure of a bus according to embodiment 1 of the present invention.
In step S101, distribution line supply users are classified into N types according to the overall situation of the distribution line users, and users of different types of supply are used as evaluation factors to input a hierarchical model for determining an optimal line restoration sequence.
In step S102, the existence, the quantity and the importance degree of each line for carrying typical users are used as index factors for evaluating the emergency degree of fault recovery, and a user evaluation classification model is established;
in step S103, an optimal recovery sequence hierarchical classification model is established based on the user evaluation classification model, and the weight of each index factor is determined.
In step S104, determining the total number of the priority of each line for each evaluation index in the user evaluation classification model by using a priority method, and obtaining a recovery sequence after power failure of the distribution line, wherein the priority method represents the importance degree of one line corresponding to the load of another line by using a grade for the same index through grade preference.
In step S105, an index number is established, and a total number of the routes is determined.
Regarding the establishment of the user evaluation classification model, according to the relevant standard of the load importance degree, the evaluation mode of important users is the personal casualty and the political economic loss caused by the power interruption and the influence of the power interruption on the normal work of the power utilization unit with political and economic significance. The above criteria are still very abstract and there is a great difficulty in directly comparing and measuring the political losses and public impact of the relevant users. For a specific user, the emergency degree of power restoration can be compared, for example, it is difficult to specifically define how much each of "personal casualty" and "political loss" is after power failure in a certain important hospital, but for two hospitals after power failure at the same time, the power transmission restoration requirement of "hospital a" is more urgent than that of "hospital b" can be obtained through comparison. Therefore, political and economic losses caused by power supply interruption can be converted into a plurality of types of typical users, the existence, the number and the importance degree of the typical users carried by each line are used as index factors for evaluating the failure recovery emergency degree, and statistics and modeling can be performed more conveniently. N types of typical users can be selected as evaluation factors according to induction, and the typical users and the corresponding loss types after power failure are shown in the attached table 1. And 7 types of the users are listed, and other types of typical users can be added as evaluation factors according to the load structure of the power distribution network.
Figure BDA0002021589030000071
Figure BDA0002021589030000081
Based on the user evaluation classification model, an optimal recovery sequence hierarchical classification model is established, and the weight of each index factor is determined, for example, fig. 2 provides a schematic diagram for establishing the optimal recovery sequence hierarchical classification model based on embodiment 1 of the present invention. The optimal recovery sequence hierarchical classification model comprises a top layer, a middle layer and a bottom layer, wherein the top layer is a target layer and is a problem to be solved or a general target, namely the optimal recovery sequence of the power distribution line with power loss. The middle layer is a criterion layer and is a factor influencing the decision of the target layer, namely N evaluation factors in the attached table 1. The bottom layer is a scheme layer, which is an optional decision scheme, i.e. a recovery sequence for each line. For example, in order to comprehensively evaluate the influence degree of each influencing factor on the decision target, the optimal recovery sequence hierarchical classification model as shown in fig. 2 needs to assign a certain weight to each influencing factor, all the influencing factors are directly put together for comparison, and it is difficult to assign a weight to each influencing factor, so that the weight of each influencing factor is determined by building a criterion layer judgment matrix through a scaling method. The criterion for forming the judgment matrix in the optimal recovery sequence hierarchical classification model is established as shown in the attached table 2 below.
Figure BDA0002021589030000082
Figure BDA0002021589030000091
In the attached Table 2, the scale symbols represent the degree of importance between the different factors compared two by two. If the ratio of the importance of factor i to factor j is a ij The ratio of the importance of factor j to factor i is then a ji =1/a ij . For the setup as given in fig. 2N evaluation factors of the optimal recovery sequence hierarchical classification model are pairwise compared with the emergency degree of power transmission recovery after power failure, and a judgment matrix R is obtained:
R=[a ij ] N×N
the judgment matrix R is constructed to satisfy the consistency, the consistency refers to the logical consistency of the judgment thinking, for example, when A is more important than C, and B is more important than C, A is more important than B obviously. This is to judge the logical consistency of thinking, otherwise, the judgment will be contradictory. Diagonal elements of the matrix R are all 1, if the main eigenvalue lambda of the matrix R is judged max The corresponding characteristic direction is the quantity W = (W) 1 ,w 2 …w N ) T Then, there are:
Figure BDA0002021589030000092
w is an element of W i The influence degree of the ith element of the criterion layer on the target layer is shown, and the main characteristic value lambda of the judgment matrix is obtained max Corresponding eigenvector W = (W) 1 ,w 2 …w N ) T Normalizing W to obtain the weight W of each factor corresponding to the decision target 1 ,w 2 …w N
And determining the total sequence number of each line for each evaluation index in the user evaluation classification model by using a sequence optimization method, and obtaining a recovery sequence after the power failure of the distribution line, wherein the sequence optimization method expresses the importance degree of the load of one line corresponding to the other line by using the grade for the same index through grade preference. In order to better distinguish the emergency degree of restoration of the distributed electric lines, grade preference is introduced on the basis of a basic sequence method, and the importance degree of the load of one line corresponding to the load of the other line is represented by grades for the same index. The line to be recovered is divided into h levels, and if the line to be recovered corresponds to the index j, a quantized named value f can be used j =[f 1 , f 2 …f m ] T Indicating the number of users in high-rise residential districts, the economic loss of power failure of productive enterprises, etcThe named values are classified into h classes according to:
Figure BDA0002021589030000101
therein, max j {f ij For each line there is a named value f corresponding to the jth index ij Maximum value of (d); min(s) j {f ij Each line has a name value f corresponding to the jth index ij Minimum value of (d); dj = max j {f ij }-min j {f ij }; h is a number of levels.
If the corresponding indexes cannot be directly expressed by quantized famous values, such as the importance levels, the degree and the like of hospitals and transportation hubs, the indexes can be directly expressed by levels. If m lines to be recovered exist, corresponding to n indexes, constructing an index grade matrix G according to the grade division result of each index corresponding to each line
G=[ɡij]mxn
Wherein, g ij The grade of the jth evaluation index corresponding to the ith line is set; m is the number of lines to be recovered; and n is the index number corresponding to the number of the m lines to be recovered.
Index number of priority b ilj The dominance of the ith line relative to the ith line under the index j. The index priority number after considering the grade division is
Figure BDA0002021589030000102
Number of indexes b in single line ilj In consideration of the weight w of each index 1 ,w 2 …w n The comprehensive number of the priority of the ith line relative to the ith line is defined as
Figure BDA0002021589030000103
Wherein, w j For the weight of each index determined by the hierarchical analysis model, N scores in Table 1 are attachedValence factor, then N = N. The ith line is summed relative to all other line sequence numbers to obtain the total sequence number K of the line i The emergency degree of the return power transmission of all other lines is expressed, and the larger the total number of the priority values is, the higher the emergency degree of the return power transmission is.
Figure BDA0002021589030000111
Wherein, K min Is K i The medium minimum value. Because the matrix R and the matrix G have consistency, the index order b of each line il And total number of orders K i Consistency should also be satisfied, i.e. if K i >K l Then b is il >b li And vice versa. Therefore, the sequence is the optimal line recovery sequence of the comprehensive multiple evaluation indexes according to the sequence from large to small of the total sequence.
The invention also provides a system for the decision of the recovery sequence of the distribution line after the power failure of the bus, which comprises a classification model building module, a hierarchy model building module and a recovery sequence building module;
the establishment classification model module is used for establishing a user evaluation classification model by taking the existence, the quantity and the importance degree of typical users supplied by each line as index factors for evaluating the failure recovery emergency degree;
the establishment hierarchical model module is used for establishing an optimal recovery sequence hierarchical classification model based on a user evaluation classification model and determining the weight of each index factor;
and the restoration sequence establishing module is used for determining the total sequence of each line for each evaluation index in the user evaluation classification model by using an optimization method to obtain a restoration sequence after the power failure of the distribution line.
While the invention has been described in detail in the specification and drawings and with reference to specific embodiments thereof, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted; all technical solutions and modifications thereof which do not depart from the spirit and scope of the present invention are intended to be covered by the scope of the present invention.

Claims (9)

1. A power distribution line recovery sequence decision method after a bus fault and power loss is characterized by comprising the following steps:
establishing a user evaluation classification model by taking the existence, the quantity and the importance degree of typical users supplied by each line as index factors for evaluating the emergency degree of fault recovery;
establishing an optimal recovery sequence hierarchical classification model based on a user evaluation classification model, and determining the weight of each index factor; the optimal recovery sequence hierarchical classification model comprises a top layer, a middle layer and a bottom layer; the top layer is a target layer; the middle layer is a criterion layer; the bottom layer is a scheme layer;
determining the total sequence of each line to each evaluation index in the user evaluation classification model by using a sequence method, and obtaining a recovery sequence of the distribution line after power failure; the priority method expresses the importance degree of the load of one line corresponding to the other line by the grade through the grade preference for the same index, then establishes the index priority number, and further determines the total priority number of the line.
2. The method for determining the restoration sequence of the distribution line after the power failure of the bus bar according to claim 1, wherein the standard layer is established by a scaling method, scale symbols are adopted to represent the importance degree between different factors compared in pairs, and a judgment matrix is adopted to determine the weight of each influencing factor; the determination matrix R = [ alpha = [ ] ij ] NxN (ii) a The alpha ij Is the ratio of the importance of factor i to factor j; and N is N evaluation factors of the to-be-tested layer.
3. The method of claim 2, wherein a diagonal element alpha of the determination matrix R is alpha, and the method is used for determining the recovery sequence of the distribution line after the loss of power due to the bus fault ij Is 1, and the main eigenvalue λ of the matrix R is judged max The corresponding characteristic direction is the quantity W = (W) 1 ,w 2 …w N ) T Then alpha ij =w i /w j
Said w i The influence degree of the ith element of the criterion layer on the target layer; said w j Is the degree of influence of the jth element of the criterion layer on the target layer.
4. The method for determining the restoration sequence of the distribution line after the power failure of the bus bar according to claim 1, wherein the representation mode of the grade comprises a matrix of quantized named values and a construction grade matrix; the expression mode of the matrix of the quantized named values is as follows:
Figure FDA0004047911130000021
max is stated j {f ij For each line there is a named value f corresponding to the jth index ij Maximum value of (d); the min j {f ij Each line corresponds to the jth index named value f ij The minimum value of (d); d is j =max j {f ij }-min j {f ij }; and h is a series of grades.
5. The method for determining the restoration sequence of the distribution line after the power failure of the bus bar according to claim 4, wherein the expression mode of the grade matrix is as follows:
G=[ɡ ij ] mxn (ii) a Said g is ij The grade of the jth evaluation index corresponding to the ith line is obtained; m is the number of lines to be recovered; and n is the index number corresponding to the number of the m lines to be recovered.
6. The method for determining the restoration sequence of the distribution line after the power failure of the bus bar according to claim 5, wherein the index sequence is expressed in the following manner:
Figure FDA0004047911130000031
b is ilj The dominance of the ith line relative to the ith line under the index j.
7. The method for determining the restoration sequence of the distribution line after the power failure of the bus bar as claimed in claim 6, wherein the method is characterized in that in b ilj On the basis of the above-mentioned formula (I),
Figure FDA0004047911130000032
b is il The number of the comprehensive priority of the ith line relative to the ith line is shown; said w j The weights of the indexes determined by the hierarchical analysis model.
8. The method for determining the restoration sequence of the distribution line after the loss of power due to the bus fault as claimed in claim 1, wherein the total number of the priority K of the line i Emergency degree for restoring power transmission with respect to all other lines;
the above-mentioned
Figure FDA0004047911130000041
Said K min Is K i The medium minimum value.
9. A distribution line recovery sequence decision system after a bus fault and power loss is characterized by comprising a classification model building module, a hierarchy model building module and a recovery sequence building module;
the classification model establishing module is used for establishing a user evaluation classification model by taking the existence, the quantity and the importance degree of typical users supplied by each line as index factors for evaluating the failure recovery emergency degree;
the hierarchical model establishing module is used for establishing an optimal recovery sequence hierarchical classification model based on a user evaluation classification model and determining the weight of each index factor;
the restoration sequence establishing module is used for determining the total sequence of each line for each evaluation index in the user evaluation classification model by using a sequence method to obtain a restoration sequence after the power failure of the distribution line; the priority method expresses the importance degree of the load of one line corresponding to the other line by the grade through the grade preference for the same index, then establishes the index priority number, and further determines the total priority number of the line.
CN201910280812.9A 2019-04-09 2019-04-09 Method and system for decision-making of power distribution line recovery sequence after bus fault power loss Active CN110071500B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910280812.9A CN110071500B (en) 2019-04-09 2019-04-09 Method and system for decision-making of power distribution line recovery sequence after bus fault power loss

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910280812.9A CN110071500B (en) 2019-04-09 2019-04-09 Method and system for decision-making of power distribution line recovery sequence after bus fault power loss

Publications (2)

Publication Number Publication Date
CN110071500A CN110071500A (en) 2019-07-30
CN110071500B true CN110071500B (en) 2023-03-21

Family

ID=67367144

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910280812.9A Active CN110071500B (en) 2019-04-09 2019-04-09 Method and system for decision-making of power distribution line recovery sequence after bus fault power loss

Country Status (1)

Country Link
CN (1) CN110071500B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110570118A (en) * 2019-09-06 2019-12-13 云南电网有限责任公司电力科学研究院 Power distribution network fault management scheme evaluation method and evaluation device
CN111766474A (en) * 2020-07-07 2020-10-13 上海华立软件***有限公司 Low-current grounding auxiliary line selection method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150067488A (en) * 2013-12-10 2015-06-18 한국전기연구원 Method for evaluating smart-grid strategy
CN106779309A (en) * 2016-11-24 2017-05-31 华北电力大学(保定) The multi-level discrimination method of critical circuits multi-angle
CN107516170A (en) * 2017-08-30 2017-12-26 东北大学 A kind of difference self-healing control method based on probability of equipment failure and power networks risk
CN109377024A (en) * 2018-09-30 2019-02-22 北京航空航天大学 A kind of recovery capability appraisal procedure comprehensive based on step analysis and grey fuzzy

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20150067488A (en) * 2013-12-10 2015-06-18 한국전기연구원 Method for evaluating smart-grid strategy
CN106779309A (en) * 2016-11-24 2017-05-31 华北电力大学(保定) The multi-level discrimination method of critical circuits multi-angle
CN107516170A (en) * 2017-08-30 2017-12-26 东北大学 A kind of difference self-healing control method based on probability of equipment failure and power networks risk
CN109377024A (en) * 2018-09-30 2019-02-22 北京航空航天大学 A kind of recovery capability appraisal procedure comprehensive based on step analysis and grey fuzzy

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
A Multiple-Criteria Decision Making Method as Support for Critical Infrastructure Protection and Intrusion Detection System;Giuseppe Bernieri等;《IEEE》;20161222;第4871-4876页 *
智能电网自愈功能综合效益评价研究;傅砾;《甘肃水利水电技术》;20120830;第48卷(第8期);第17-21页 *

Also Published As

Publication number Publication date
CN110071500A (en) 2019-07-30

Similar Documents

Publication Publication Date Title
CN105975735B (en) A kind of modeling method for power equipment health state evaluation
CN109086913B (en) Power system transient stability assessment method and system based on deep learning
CN103296677B (en) A kind of online bulk power grid recovers aid decision-making system
CN108428045A (en) A kind of distribution network operation health state evaluation method
CN106505593A (en) A kind of method of the analysis of distribution transforming three-phase imbalance and load adjustment based on big data
CN102063657A (en) Operating level and power supplying capability evaluation method for urban electric distribution network
CN103310298A (en) Multistage comprehensive evaluation method for power distribution network planning scheme
CN108122068A (en) A kind of power distribution network risk-averse retailer method and system
CN103761690A (en) Evaluation method based on voltage reactive power control system in grid system
CN105243476B (en) A kind of layering energy storage Energy Management System for Thief zone distributed photovoltaic
CN102868161A (en) Optimization method of network variable structure with distributed type power supply distribution system
CN105139095A (en) Power distribution network running state evaluation method based on attribute area module
CN110071500B (en) Method and system for decision-making of power distribution line recovery sequence after bus fault power loss
CN109934455A (en) A kind of electricity power engineering construction cost assessment method
CN107358338A (en) A kind of multi-service and the D5000 system healths degree layering evaluation of priorities method of hardware fusion
CN111340325A (en) Method and system for evaluating service level of power transmission and transformation facility based on comprehensive evaluation index
CN107358332A (en) A kind of dispatching of power netwoks runs lean evaluation method
CN110826228B (en) Regional power grid operation quality limit evaluation method
CN104899689B (en) Based on the distribution network failure restoration methods that DBCC optimized algorithms and entropy weight are theoretical
CN107069801B (en) A kind of power distribution network isolated island division methods based on minimum Custom interruption cost
CN106845752A (en) A kind of extensive extra-high voltage interconnected network receives electric Scale Evaluation system
CN110059913A (en) A kind of quantitative estimation method counted and the power failure of future-state is planned
CN111353691B (en) Power grid difference analysis method based on analytic hierarchy process
CN112686536A (en) Power grid disaster response capability quantitative evaluation method based on fuzzy comprehensive evaluation
CN109345090A (en) A kind of rack evaluation method promoted based on distribution network reliability

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant