CN106779171B - Intelligent decision method for power transmission line fault strong power transmission - Google Patents
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Abstract
The invention discloses an intelligent decision method for power transmission line fault strong power transmission, which comprises the following steps: (1) acquiring fault information of the power transmission line; (2) judging whether the transmission line fault belongs to a special identification fault which does not need to carry out strong power transmission, if so, not carrying out strong power transmission; otherwise, entering the next step; (3) if the strong power transmission under the power transmission line fault is the deterministic strong power transmission, performing the strong power transmission, and if not, entering the next step; (4) determining an optimal forced sending end by using an analytic hierarchy process; (5) and the optimal strong power transmission end carries out strong power transmission on the power transmission line. The invention carries out screening and judgment on the line fault information, and adopts a method of independent decision processing for special faults which are not sent by force and line faults which are sent by force with certainty, thereby being more in line with engineering practice and strong in feasibility; the strong sending terminal optimization selection algorithm based on the analytic hierarchy process is adopted, the influence of a plurality of main factors on the strong sending decision is comprehensively considered, and the obtained decision result is more scientific and reasonable.
Description
Technical Field
The invention relates to the technical field of power transmission line maintenance, in particular to an intelligent decision method for power transmission line fault strong power transmission.
Background
An Analytic Hierarchy Process (AHP) is a practical multi-scheme or multi-target decision-making method provided by the american operational scientist t.l. sauty in the 70 th century, and is a qualitative and quantitative combined decision-making analysis method. The analytic hierarchy process is a decision-making process which decomposes elements always related to decision-making into a hierarchy of targets, criteria, schemes and the like, and performs qualitative and quantitative analysis on the basis of the hierarchy. The analytic hierarchy process is characterized in that on the basis of deep analysis of the essence, influence factors, internal relations and the like of a complex decision problem, a decision thinking process is mathematic by using less quantitative information, so that a simple decision method is provided for the complex decision problem with multiple targets, multiple criteria or no structural characteristics. The method is often applied to multi-target, multi-criterion, multi-factor and multi-level unstructured complex decision problems, and has very wide practicability.
An overhead transmission line is an important component in a power system and is the life line of a power transmission system. Its main function is to transmit electric energy. The running state of the overhead transmission line directly has great influence on the running reliability of the whole system. At present, national economy is developing at a high speed, and accordingly the scale of a power grid is greatly enlarged, but a large number of fault conditions of an overhead transmission line and the like are caused by natural environment, external force damage, production quality, human factors and the like, and the fault conditions not only influence the power transmission capacity of the overhead transmission line, but also can cause large-scale power grid power failure, so that the serious influence is brought to the development of the national economy.
When the power transmission line is in fault and meets the strong power transmission condition, a dispatcher immediately orders the strong power transmission once. The traditional strong sending end selection method depends too much on the work experience and subjective judgment of a dispatcher, and when more influence factors are considered and the influences of the factors conflict with each other, the strong sending end is difficult to select scientifically and reasonably only by the subjective judgment of the dispatcher.
The invention provides an intelligent decision-making method for power transmission line fault forced transmission, which can comprehensively evaluate the influence of various factors on a forced transmission decision and realize the goal of optimally selecting a forced transmission end, and has the advantages of complete system, comprehensive evaluation range and good feasibility.
Disclosure of Invention
In order to solve the technical problem, the invention provides an intelligent decision method for power transmission line fault strong power transmission based on an analytic hierarchy process, which can comprehensively analyze various influence factors and reasonably select a strong power transmission end to carry out strong power transmission.
The technical scheme adopted for solving the technical problems is as follows: an intelligent decision method for power transmission line fault strong power transmission is characterized by comprising the following steps:
(1) acquiring fault information of the power transmission line;
(2) judging whether the transmission line fault belongs to a special identification fault which does not need to carry out strong power transmission, if so, not carrying out strong power transmission; otherwise, entering the next step;
(3) judging whether the strong power transmission under the power transmission line fault is deterministic strong power transmission or not, and if so, carrying out strong power transmission according to a strong power transmission regulation; otherwise, entering the next step;
(4) determining an optimal forced sending end by using an analytic hierarchy process; the step of determining the optimal forced sending end comprises the following steps: (4.1) establishing a hierarchical structure model; (4.2) constructing a judgment matrix of the influence factors; (4.3) criterion layer weight assignment; (4.4) quantifying the influencing factors; (4.5) scheme layer weight assignment; (4.6) scheme decision;
(5) and the optimal strong power transmission end carries out strong power transmission on the power transmission line.
Preferably, in step (1), the acquired transmission line fault information at least includes a line voltage class, a fault type and a fault location.
Preferably, in the step (2), whether the transmission line fault belongs to a special identification fault which does not need strong power transmission is judged by comparing the transmission line fault information with a transmission line fault database; the special identification fault which does not need strong power transmission comprises the following steps:
a) the power transmission line is a cable line;
b) the switch of the line transformer set trips and cannot be forced to send with a transformer;
c) the transmission line is a test run line;
d) the transmission line is in live working;
e) the transmission line has been found to be marked by a fault;
f) the transmission line has three-phase faults;
g) the transmission line is other lines which are clearly specified and can not transmit power strongly.
Preferably, in step (3), when it is determined that the power transmission line fault requires strong power transmission, comparing the power transmission line fault with the line fault database, determining whether the strong power transmission under the power transmission line fault is deterministic strong power transmission, and if the power transmission line fault is deterministic strong power transmission, selecting a strong power transmission end to perform strong power transmission according to a relevant strong power transmission regulation; and if the strong power transmission is not deterministic, selecting a reasonable strong power transmission end for strong power transmission by executing an analytic hierarchy process-based strong power transmission end optimization selection algorithm.
Preferably, in step (3), the power-intensive transmission rule is:
a) the power grid stability regulation is executed according to the regulation;
b) for a grid-connected tie line of a power plant, strong power transmission is carried out by a transformer substation side;
c) and after the fault, the transformer substation with the single power supply carries out strong power transmission on the opposite side station.
Preferably, in step (4), the optimal strong sending end is determined by using a strong sending end optimization selection algorithm based on an analytic hierarchy process, and the specific steps of determining the optimal strong sending end are as follows:
(4.1) establishing a hierarchical structure model
The hierarchical structure model sequentially comprises a target layer, a criterion layer and a scheme layer from top to bottom, wherein the target layer is used for selecting an optimal strong sending end, the criterion layer is used for influencing decision factors of the target layer, and main influence factors influencing decision of the target layer comprise the abundance of breaker breaking times, the breaking capacity of a breaker, important load capacity and the distance between a fault point and two ends; the scheme layer is a selectable decision scheme, namely, strong power transmission is carried out on the left end of the line or the right end of the line;
(4.2) constructing a judgment matrix of the influencing factors
In order to comprehensively evaluate the influence of each influence factor on the decision target, a certain weight needs to be distributed to each factor according to the influence degree of each factor on the decision target, and each factor is compared pairwise with the target layer and scored by adopting a scaling method; the scale a obtained by comparing different factors in the n factors in the criterion layer with each otherijFilling the positions of i rows and j columns of the matrix, constructing an n-dimensional judgment matrix A:
aijthe importance ratio of factor i to factor j, i ═ 1, 2, 3 … n, and j ═ 1, 2, 3 … n;
(4.3) criterion layer weight assignment
If the maximum eigenvalue lambda of the matrix A is judgedmaxThe corresponding characteristic direction is the quantity W ═ W (W)1,w2…wn)TThen, there are:
w is the weight of the criterion layer, and the maximum eigenvalue lambda of the judgment matrix is obtainedmaxCorresponding feature vector W ═ W1,w2…wn)TThe weights of different factors can be obtained, and the weight w of each factor corresponding to the decision target can be obtained through normalization1,w2…wn；
(4.4) quantization processing of influencing factors
1) Breaker breaking frequency adequacy
Setting the designed breaking frequency of the circuit breaker as CaThe number of times of interruption is CbIf the interruption frequency tolerance of the breaker is C, the following quantization can be performed:
2) circuit breaker open capacity
The on-off capacity of the circuit breaker reflects the maximum on-off capacity of the circuit breaker, the numerical value of the circuit breaker is directly taken for quantification, and the on-off capacity is represented by S;
3) important load capacity
The capacity for important loads can be quantified as follows:
S＝αL1+βL2
in the formula L1Is a class of load capacity, L2The load capacity is a class II load capacity, alpha and beta are weight coefficients for distinguishing the importance degrees of the class I and class II loads, and S is the important load capacity of comprehensive quantification;
4) distance between fault point and two ends
The distances from the fault point to the left end and the right end of the off-line are respectively D1And D2To represent;
(4.5) scheme layer weight assignment
Corresponding to n factors and m schemes, n m-dimensional judgment matrixes need to be constructed, and weights are distributed to the schemes according to the characteristic vectors obtained by the judgment matrixes;
(4.6) scheme decision
After the weight distribution of the two layers of the criterion layer and the scheme layer, the final comprehensive weight of each scheme relative to the decision target is as follows:
WL＝w11+ w21+ w31+ w41
WR＝w12+ w22+ w32+ w42
WL+ WR＝1
WLcomprehensive weight, W, of decision target for forced forwarding on the left side of the lineRAnd (3) performing forced transmission on the right side of the line to obtain the comprehensive weight of the decision target, wherein the larger the comprehensive weight is, the better the scheme is compared with other schemes, and the side with the larger comprehensive weight is selected as a forced transmission end so as to ensure the scientificity and rationality of the forced transmission decision.
Preferably, in constructing the judgment matrix of the influencing factors, the scales are as shown in table 1 below:
table 1:
in table 1, the scale symbols represent the degree of importance between the different factors compared two by two;
in the process of constructing the judgment matrix of the influence factors, the constructed judgment matrix A needs to meet the consistency, the consistency refers to the logical consistency of judgment thinking, and if A is more important than C and B is more important than C, A is obviously more important than B; the diagonal elements in the decision matrix a are the result of comparison of the same factor, and their values are all 1.
Preferably, in the process of assigning weights to criterion layers, each weight in the judgment matrix a is divided by a weight sum as its own value, and the sum of the values of the factors is 1.
Preferably, in the process of allocating the weight of the solution layer, in order to obtain a judgment matrix of the solution layer relative to each influence factor, the quantized values of the two solutions corresponding to the same influence factor are divided to obtain relative ratio values, the ratio value represents the relative good and bad degree of the two solutions, and for the three influence factors of the sufficient breaking frequency of the circuit breaker, the breaking capacity of the circuit breaker and the distance between the fault point and the two ends, the larger the ratio value is, the more superior the former solution to the latter solution in the influence factor is represented; the smaller the ratio is for the factor of the important load capacity, the better the former scheme is in this factor of influence.
Preferably, in the scheme-level weight assignment process, in order to unify the relative merits indicated by the relative ratios of the influencing factors, a one-step reciprocal operation is performed on the relative ratio obtained under the influencing factor of the important load capacity, so that the processed relative ratio also indicates that the former scheme is better than the latter scheme when the ratio is larger.
Obtaining a consistency judgment matrix of the scheme layer by dividing each relative ratio according to the table 1-2;
table 2:
in table 2, the relative degree of superiority a is the degree of adequacy of the number of times of breaking of the circuit breaker, the open/close capacity of the circuit breaker, and the distance between the fault point and both ends, and the relative degree of superiority B is the degree of superiority of the important load capacity.
The invention has the beneficial effects that:
in order to select an optimal scheme under the condition of comprehensively considering all influence factors, the influence degrees of all the influence factors are compared, the weight is distributed to each influence factor, the divided weight of each influence factor is distributed to each scheme, and finally the divided weights of all the influence factors of all the schemes are added to obtain the comprehensive weight of all the schemes relative to a decision target. The method can be suitable for the decision of forced delivery after the trip of the line of more than 220 kilovolts, can decide whether to carry out the forced delivery according to the fault information, and can comprehensively analyze all influence factors to reasonably select the forced delivery end.
Compared with the existing forced transmission decision method after line fault, the method has the advantages that:
(1) the line fault information is screened and judged, and a method of independent decision processing is adopted for special faults which are not sent by force and line faults which are sent by force with certainty, so that the method is more in line with engineering practice and high in feasibility.
(2) For line faults needing to be selected for strong sending, the invention adopts a strong sending end optimization selection algorithm based on an analytic hierarchy process, comprehensively considers the influence of a plurality of main factors on the decision of the strong sending, has complete system and comprehensive evaluation range, gets rid of the subjective influence of the traditional artificial experience decision and obtains a more scientific and reasonable decision result.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a schematic diagram of a hierarchical model according to the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
As shown in fig. 1, the intelligent decision method for power transmission line fault strong power transmission of the present invention includes the following steps:
(1) acquiring fault information of the power transmission line;
(2) judging whether the transmission line fault belongs to a special identification fault which does not need to carry out strong power transmission, if so, not carrying out strong power transmission; otherwise, entering the next step;
(3) judging whether the strong power transmission under the power transmission line fault is deterministic strong power transmission or not, and if so, carrying out strong power transmission according to a strong power transmission regulation; otherwise, entering the next step;
(4) determining an optimal forced sending end by using an analytic hierarchy process;
(5) and the optimal strong power transmission end carries out strong power transmission on the power transmission line.
In the step (1), the acquired transmission line fault information at least comprises a line voltage grade, a fault type and a fault position. In specific implementation, main information of the transmission line fault needs to be recorded into a decision system loaded with software of the method.
In the step (2), the transmission line fault information is compared with a transmission line fault database in a decision system to judge whether the transmission line fault belongs to a special identification fault (namely a fault belonging to a class of special identification) which does not need to carry out strong power transmission; the special identification fault which does not need strong power transmission comprises the following steps:
a) the power transmission line is a cable line;
b) the switch of the line transformer set trips and cannot be forced to send with a transformer;
c) the transmission line is a test run line;
d) the transmission line is in live working;
e) the transmission line has been found to be marked by a fault;
f) the transmission line has three-phase faults;
g) the transmission line is other lines which are clearly specified and can not transmit power strongly.
In the step (3), when it is determined that the power transmission line fault needs to perform strong power transmission, the power transmission line fault needs to be compared with a line fault database, whether the strong power transmission under the power transmission line fault is deterministic strong power transmission or not is judged, and if the power transmission line fault is deterministic strong power transmission, a strong power transmission end is selected according to a relevant strong power transmission regulation to perform strong power transmission; and if the strong power transmission is not deterministic, selecting a reasonable strong power transmission end for strong power transmission by executing an analytic hierarchy process-based strong power transmission end optimization selection algorithm. The deterministic forced transmission line fault and the forced transmission regulation are as follows:
a) the power grid stability regulation is executed according to the regulation;
b) for a grid-connected tie line of a power plant, strong power transmission is carried out by a transformer substation side;
c) and after the fault, the transformer substation with the single power supply carries out strong power transmission on the opposite side station.
In the step (4), the optimal forced sending end is determined by utilizing a forced sending end optimization selection algorithm based on an analytic hierarchy process, and the specific steps for determining the optimal forced sending end are as follows:
(4.1) establishing a hierarchical structure model
As shown in fig. 2, the top layer of the hierarchical model is a target layer, which is a problem to be solved (total target), i.e. selecting an optimal strong sending end; the middle layer is a criterion layer, namely factors influencing decision making of the target layer, four main influencing factors are determined after screening, namely the factor is the sufficient breaking frequency of the circuit breaker, the breaking capacity of the circuit breaker, the important load capacity and the distance between a fault point and two ends; the lowest layer is a scheme layer, and is a selectable decision scheme, namely, the scheme layer is used for carrying out forced transmission on the left end of the line and the scheme layer is used for carrying out forced transmission on the right end of the line.
(4.2) constructing a judgment matrix of the influencing factors
In order to comprehensively evaluate the influence of each influencing factor on the decision target, a certain weight needs to be allocated to each factor according to the influence degree of each factor on the decision target, if all the factors are directly put together for comparison, the weight is difficult to be allocated to each factor, the importance degree of the factors is relatively easy to compare pairwise among different factors, and the factors are compared pairwise with the target layer and scored according to a 1-9 scaling method in a table 1.
Table 1:
| scale | Means of |
| 1 | Indicates that the two factors have the same importance |
| 3 | Indicating that the former is slightly more important than the latter |
| 5 | Indicating that the former is significantly more important than the latter in comparison with two factors |
| 7 | Indicating that the former is more important than the latter |
| 9 | Indicating that the former is extremely important compared to the latter |
| 2,4,6,8 | Intermediate value representing the above-mentioned adjacent judgment |
| Reciprocal of the | If the ratio of the importance of factor i to factor j is aijThe ratio of the importance of factor j to factor i is then aji＝1/aij |
The scale symbols represent the degree of importance between the different factors compared two by two.
Assuming that the criterion layer has n factors, the scale a is obtained by comparing different factors two by twoijFilling the positions of i rows and j columns of the matrix, constructing an n-dimensional judgment matrix, wherein the constructed judgment matrix needs to meet the consistency, the consistency refers to the logical consistency of judgment thinking, and if A is more important than C and B is more important than C, A is obviously more important than B. This is to judge the logical consistency of thinking, otherwise, the judgment will be contradictory.
For the construction of the criterion layer judgment matrix, an electrical engineer compares every two factors according to the actual conditions of each local power grid to generate a judgment matrix A, wherein diagonal elements are the results of comparison of the same factors, and the numerical values of the diagonal elements are all 1.
(4.3) criterion layer weight assignment
The consistency matrix (decision matrix A) has a property that it can calculate the ratio of different factors, which is:
if the maximum eigenvalue lambda of the matrix A is judgedmaxThe corresponding characteristic direction is the quantity W ═ W (W)1,w2…wn)TThen, there are:
where W is the weight that the present invention wants to know, by finding the maximum eigenvalue λ of the decision matrixmaxCorresponding feature vector W ═ W1,w2…wn)TWeights of different factors can be obtained, and the weight w of each factor corresponding to the decision target can be obtained through normalization (each weight is divided by the weight sum as the value of the weight sum, and the sum is 1)1,w2…wn。
(4.4) quantization processing of influencing factors
In order to compare the degrees of superiority and inferiority of each scheme corresponding to the same factor, each influencing factor needs to be quantized, and for the four influencing factors selected by the algorithm, the quantization is as follows:
1) breaker breaking frequency adequacy
Setting the designed breaking frequency of the circuit breaker as CaThe number of times of interruption is CbIf the interruption frequency tolerance of the breaker is C, the following quantization can be performed:
when the interruption frequency adequacy of the circuit breaker is higher, the circuit breaker has higher working reliability, so that when the strong power transmission end after the line fault is selected, the side with the larger interruption frequency adequacy of the circuit breaker is selected to carry out strong power transmission.
2) Circuit breaker open capacity
The on-off capacity of the circuit breaker reflects the maximum on-off capacity of the circuit breaker, the numerical value of the circuit breaker is directly taken for quantification, and the on-off capacity is represented by S; since the breaker has a higher breaking capacity and a higher capacity for breaking short-circuit current, when a high-voltage transmission terminal is selected after a line fault, the high-voltage transmission terminal should be selected to have a higher breaking capacity.
3) Important load capacity
The invention mainly considers the first and second loads, and the capacity of the important load can be quantized according to the following formula:
S＝αL1+βL2
in the formula L1Is a class of load capacity, L2The load capacity is a class II load capacity, alpha and beta are weight coefficients for distinguishing the importance degrees of the class I and class II loads, and S is the important load capacity of comprehensive quantification; in order to minimize the influence of a failure on an important load in a system, when a power transmission terminal is selected after a line failure, a power transmission terminal with a smaller important load capacity is selected and power transmission is performed.
4) Distance between fault point and two ends
Distance between fault pointsThe distances between the left end and the right end of the off-line are respectively D1And D2To indicate. The end farther away from the fault point has stronger stability, so when the strong power transmission end after the line fault is selected, the end farther away from the fault point is selected to carry out strong power transmission.
(4.5) scheme layer weight assignment
In order to obtain a judgment matrix of a scheme layer relative to each influence factor, firstly, dividing quantized values of the two schemes corresponding to the same influence factor to obtain relative ratio values, wherein the ratio represents the relative quality degree of the two schemes, and for the three influence factors of the circuit breaker breaking frequency adequacy, the circuit breaker breaking capacity and the distance between a fault point and two ends, the larger the ratio is, the more the former scheme is superior to the latter scheme in the influence factor; the smaller the ratio is for the factor of the important load capacity, the better the former scheme is in this factor of influence.
In order to unify the relative merits represented by the relative ratio of the influencing factors, the relative ratio obtained under the influencing factor of the important load capacity is subjected to one-step reciprocal operation, and the processed relative ratio also represents that the former scheme is better than the latter scheme when the ratio is larger;
assuming that the breaking frequency adequacy of the breaker at the left end of the fault line is C1On the right side is C2The relative ratio C is obtained by dividing12Then, the good and bad scales b are obtained according to the divided intervals in Table 212And further obtaining a judgment matrix B of the scheme layer relative to the sufficient breaking times of the circuit breaker1:
Corresponding to n factors and m schemes, n m-dimensional judgment matrixes need to be constructed, and weights are distributed to the schemes according to the characteristic vectors obtained by the judgment matrixes.
Table 2:
in table 2, the relative degree of superiority a is the degree of adequacy of the number of times of breaking of the circuit breaker, the open/close capacity of the circuit breaker, and the distance between the fault point and both ends, and the relative degree of superiority B is the degree of superiority of the important load capacity.
(4.6) scheme decision
After the weight distribution of the two layers of the criterion layer and the scheme layer, the final comprehensive weight of each scheme relative to the decision target is as follows:
WL＝w11+ w21+ w31+ w41
WR＝w12+ w22+ w32+ w42
WL+ WR＝1
WLcomprehensive weight, W, of decision target for forced forwarding on the left side of the lineRAnd (3) performing forced transmission on the right side of the line to obtain the comprehensive weight of the decision target, wherein the larger the comprehensive weight is, the better the scheme is compared with other schemes, and the side with the larger comprehensive weight is selected as a forced transmission end so as to ensure the scientificity and rationality of the forced transmission decision.
In order to select an optimal scheme under the condition of comprehensively considering all influence factors, the influence degrees of all the influence factors are compared, the weight is distributed to each influence factor, the divided weight of each influence factor is distributed to each scheme, and finally the divided weights of all the influence factors of all the schemes are added to obtain the comprehensive weight of all the schemes relative to a decision target. The invention can determine whether to carry out forced sending or not according to the fault information, and can comprehensively analyze all influence factors to reasonably select the forced sending end.
Compared with the existing forced transmission decision method after line fault, the method has the advantages that:
(1) the line fault information is screened and judged, and a method of independent decision processing is adopted for special faults which are not sent by force and line faults which are sent by force with certainty, so that the method is more in line with engineering practice and high in feasibility.
(2) For line faults needing to be selected for strong sending, the invention adopts a strong sending end optimization selection algorithm based on an analytic hierarchy process, comprehensively considers the influence of a plurality of main factors on the decision of the strong sending, has complete system and comprehensive evaluation range, gets rid of the subjective influence of the traditional artificial experience decision and obtains a more scientific and reasonable decision result.
The foregoing is only a preferred embodiment of the present invention, and it will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the principle of the invention, and such modifications and improvements are also considered to be within the scope of the invention.
Claims (9)
1. An intelligent decision method for power transmission line fault strong power transmission is characterized by comprising the following steps:
(1) acquiring fault information of the power transmission line;
(2) judging whether the transmission line fault belongs to a special identification fault which does not need to carry out strong power transmission, if so, not carrying out strong power transmission; otherwise, entering the next step;
(3) judging whether the strong power transmission under the power transmission line fault is deterministic strong power transmission or not, and if so, carrying out strong power transmission according to a strong power transmission regulation; otherwise, entering the next step;
(4) determining an optimal forced sending end by using an analytic hierarchy process; the step of determining the optimal forced sending end comprises the following steps: (4.1) establishing a hierarchical structure model; (4.2) constructing a judgment matrix of the influence factors; (4.3) criterion layer weight assignment; (4.4) quantifying the influencing factors; (4.5) scheme layer weight assignment; (4.6) scheme decision;
(5) the optimal strong power transmission end carries out strong power transmission on the power transmission line;
in the step (4), the optimal forced sending end is determined by utilizing a forced sending end optimization selection algorithm based on an analytic hierarchy process, and the specific steps for determining the optimal forced sending end are as follows:
(4.1) establishing a hierarchical structure model
The hierarchical structure model sequentially comprises a target layer, a criterion layer and a scheme layer from top to bottom, wherein the target layer is used for selecting an optimal strong sending end, the criterion layer is used for influencing decision factors of the target layer, and main influence factors influencing decision of the target layer comprise the abundance of breaker breaking times, the breaking capacity of a breaker, important load capacity and the distance between a fault point and two ends; the scheme layer is a selectable decision scheme, namely, strong power transmission is carried out on the left end of the line or the right end of the line;
(4.2) constructing a judgment matrix of the influencing factors
In order to comprehensively evaluate the influence of each influence factor on the decision target, a certain weight needs to be distributed to each factor according to the influence degree of each factor on the decision target, and each factor is compared pairwise with the target layer and scored by adopting a scaling method; the scale a obtained by comparing different factors in the n factors in the criterion layer with each otherijFilling the positions of i rows and j columns of the matrix, constructing an n-dimensional judgment matrix A:
aijthe importance ratio of factor i to factor j, i ═ 1, 2, 3 … n, and j ═ 1, 2, 3 … n;
(4.3) criterion layer weight assignment
If the maximum eigenvalue lambda of the matrix A is judgedmaxThe corresponding characteristic direction is the quantity W ═ W (W)1,w2…wn)TThen, there are:
w is the weight of the criterion layer, and the maximum eigenvalue lambda of the judgment matrix is obtainedmaxCorresponding feature vector W ═ W1,w2…wn)TThe weights of different factors can be obtained, and the weight w of each factor corresponding to the decision target can be obtained through normalization1,w2…wn；
(4.4) quantization processing of influencing factors
1) Breaker breaking frequency adequacy
Setting the designed breaking frequency of the circuit breaker as CaThe number of times of interruption is CbIf the interruption frequency tolerance of the breaker is C, the following quantization can be performed:
2) circuit breaker open capacity
The on-off capacity of the circuit breaker reflects the maximum on-off capacity of the circuit breaker, the numerical value of the circuit breaker is directly taken for quantification, and the on-off capacity is represented by So;
3) important load capacity
The capacity for important loads can be quantified as follows:
S＝αL1+βL2
in the formula L1Is a class of load capacity, L2The load capacity is a class II load capacity, alpha and beta are weight coefficients for distinguishing the importance degrees of the class I and class II loads, and S is the important load capacity of comprehensive quantification;
4) distance between fault point and two ends
The distances from the fault point to the left end and the right end of the off-line are respectively D1And D2To represent;
(4.5) scheme layer weight assignment
Corresponding to n factors and m schemes, n m-dimensional judgment matrixes need to be constructed, and weights are distributed to the schemes according to the characteristic vectors obtained by the judgment matrixes;
(4.6) scheme decision
After the weight distribution of the two layers of the criterion layer and the scheme layer, the final comprehensive weight of each scheme relative to the decision target is as follows:
WL＝w11+w21+w31+w41
WR＝w12+w22+w32+w42
WL+WR＝1
WLfor the left side of the lineForced delivery of the composite weight, W, to the decision targetRAnd (3) performing forced transmission on the right side of the line to obtain the comprehensive weight of the decision target, wherein the larger the comprehensive weight is, the better the scheme is compared with other schemes, and the side with the larger comprehensive weight is selected as a forced transmission end so as to ensure the scientificity and rationality of the forced transmission decision.
2. The intelligent decision method for power transmission line fault forced power transmission according to claim 1, wherein in the step (1), the obtained power transmission line fault information at least comprises a line voltage level, a fault type and a fault position.
3. The intelligent decision method for power transmission line fault strong power transmission according to claim 1, characterized in that in step (2), whether the power transmission line fault belongs to a special identification fault which does not need strong power transmission is judged by comparing power transmission line fault information with a power transmission line fault database; the special identification fault which does not need strong power transmission comprises the following steps:
a) the power transmission line is a cable line;
b) the switch of the line transformer set trips and cannot be forced to send with a transformer;
c) the transmission line is a test run line;
d) the transmission line is in live working;
e) the transmission line has been found to be marked by a fault;
f) the transmission line has three-phase faults;
g) the transmission line is other lines which are clearly specified and can not transmit power strongly.
4. The intelligent decision method for power transmission line fault strong power transmission according to claim 1, wherein in step (3), when it is determined that a power transmission line fault requires strong power transmission, the power transmission line fault is compared with a line fault database to determine whether the strong power transmission under the power transmission line fault is deterministic strong power transmission, and if the power transmission line fault is deterministic strong power transmission, a strong transmitting end is selected according to a relevant strong power transmission regulation to perform strong power transmission; and if the strong power transmission is not deterministic, selecting a reasonable strong power transmission end for strong power transmission by executing an analytic hierarchy process-based strong power transmission end optimization selection algorithm.
5. The intelligent decision method for power transmission line fault strong power transmission according to claim 4, wherein in the step (3), the strong power transmission rule is as follows:
a) the power grid stability regulation is executed according to the regulation;
b) for a grid-connected tie line of a power plant, strong power transmission is carried out by a transformer substation side;
c) the transformer substation with the power supplied by the single fault power supply carries out forced power transmission on the opposite side station.
6. The intelligent decision method for power transmission line fault forced power transmission according to claim 1, wherein in the process of constructing a judgment matrix of influencing factors, the scale is as shown in the following table 1:
table 1:
In table 1, the scale symbols represent the degree of importance between the different factors compared two by two;
the constructed judgment matrix A needs to satisfy consistency, the consistency refers to logical consistency of judgment thinking, and if A is more important than C and B is more important than C, it is obvious that A is more important than B; the diagonal elements in the decision matrix a are the result of comparison of the same factor, and their values are all 1.
7. The intelligent decision method for power transmission line fault forced power transmission according to claim 1,
in the process of distributing the weights of the criterion layer, the sum of the values of the factors is 1 by dividing each weight in the matrix A by the sum of all the weights is judged to be the value of the weight.
8. The intelligent decision-making method for the power transmission line fault strong power transmission according to claim 1, characterized in that in the process of scheme layer weight distribution, in order to obtain a judgment matrix of a scheme layer relative to each influence factor, a quantitative value corresponding to the same influence factor of the two schemes is divided to obtain a relative ratio value thereof, the relative ratio value represents the relative goodness of the two schemes, and for three influence factors of the breaker breaking frequency adequacy, the breaker breaking capacity and the distance between a fault point and two ends, the larger the ratio value is, the better the former scheme is over the latter scheme on the influence factor; the smaller the ratio is for the factor of the important load capacity, the better the former scheme is in this factor of influence.
9. The intelligent decision method for power transmission line fault strong power transmission according to claim 8, characterized in that in the process of scheme layer weight distribution, in order to unify the relative merits represented by the relative ratio of each influencing factor, a one-step reciprocal operation is performed on the relative ratio obtained under the influencing factor of important load capacity, and the processed relative ratio also indicates that the former scheme is better than the latter scheme when the ratio is larger;
obtaining a consistency judgment matrix of the scheme layer by dividing each relative ratio according to the table 2;
table 2:
in table 2, the relative degree of superiority a is the degree of adequacy of the number of times of breaking of the circuit breaker, the open/close capacity of the circuit breaker, and the distance between the fault point and both ends, and the relative degree of superiority B is the degree of superiority of the important load capacity.
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| CN108548990B (en) * | 2018-04-04 | 2020-08-04 | 国电南瑞科技股份有限公司 | Power restoration strategy recommendation method based on power grid fault behavior analysis |
| CN108777482A (en) * | 2018-05-28 | 2018-11-09 | 国家电网公司华中分部 | A kind of optimal power transmission path decision method of the power grid of rule-based formula |
| CN110445107B (en) * | 2019-07-25 | 2021-09-07 | 国网河北省电力有限公司衡水供电分公司 | Processing method for 110kV line fault tripping |
| CN110531223A (en) * | 2019-10-14 | 2019-12-03 | 国网山东省电力公司莱芜供电公司 | A kind of 35kV line fault positioning quick calculation method based on scheduling application, equipment and readable storage medium storing program for executing |
| CN111064168A (en) * | 2019-11-13 | 2020-04-24 | 广西电网有限责任公司 | Line strong power transmission judgment method based on multi-source data fusion |
| CN111474444B (en) * | 2020-04-14 | 2022-06-21 | 国网山东省电力公司电力科学研究院 | Line fault power restoration decision method based on knowledge graph |
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