CN116777533A - Power cable type selection method, device and storage medium - Google Patents
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Abstract
The application provides a power cable type selection method, a device and a storage medium, and relates to the technical field of power cable management, wherein the method comprises the following steps: obtaining the cable laying length between two power devices and a plurality of alternative power cables with different types; for any type of power cable, respectively determining a plurality of cable parameter values of the power cable according to the cable laying length, respectively converting each cable parameter value of the power cable into a corresponding effect value, and respectively determining the weight corresponding to each cable parameter value; carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain performance evaluation results of the power cables of various types; comparing the performance evaluation results of the power cables with various types, and determining the type of the power cable between the two power devices according to the comparison results. The application improves the comprehensiveness of the performance evaluation of the power cables of different types, and further improves the accuracy of the type selection of the power cables.
Description
Technical Field
The application relates to the technical field of power cable management, in particular to a power cable type selection method, a device and a storage medium.
Background
The power cable is a cable for transmitting and distributing electric energy, and is commonly used as a power transmission line of an urban underground power grid, a power station outgoing line, power supply in an operating mode enterprise and the like, and various power equipment are connected through the power cable to form the power grid.
The power cables are of various types, and in order to ensure normal transmission of electric energy between power devices and to control the cost of the power cables, it is necessary to evaluate the performance of the power cables of different types to select a power cable of a suitable type. At present, the performance of power cables of different types is often determined according to the experience of staff to determine the type of the power cable, but the mode usually only considers the cost and the conductive performance of the power cable, and the evaluation result is compared on one side, so that the accuracy of the type selection of the power cable is poor.
Disclosure of Invention
The application solves the problem of how to improve the accuracy of the selection of the type of the power cable.
In order to solve the problems, the application provides a power cable type selection method, a device and a storage medium.
In a first aspect, the present application provides a method for selecting a power cable, comprising:
obtaining the cable laying length between two power devices and a plurality of alternative power cables with different types;
for any model of the power cable, respectively determining a plurality of cable parameter values of the power cable according to the cable laying length, respectively converting each cable parameter value of the power cable into a corresponding effect value, and respectively determining the weight corresponding to each cable parameter value;
carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain performance evaluation results of the power cables of various types;
comparing the performance evaluation results of the power cables of various types, and determining the type of the power cable between two power devices according to the comparison results.
Optionally, the obtaining the cable laying length between the two electrical devices includes:
and determining the cable laying length according to the horizontal distance between the two power equipment and a preset laying mode.
Optionally, the determining the cable laying length according to the horizontal distance between the two electric devices and the preset laying mode includes:
when the laying mode is direct burial or pipeline laying, multiplying the horizontal distance between two electric devices by a preset cable amplification proportion, and adding the product to the preset cable burial depth, the ground clearance of the first electric device, the ground clearance of the second electric device and the cable allowance to obtain the cable laying length.
Optionally, the determining the cable laying length according to the horizontal distance between the two electric devices and the preset laying mode includes:
when the paving mode is bridge paving, multiplying the horizontal distance between two electric power devices by a preset cable amplification proportion, and adding the product to the preset vertical distance between the first electric power device and the bridge, the vertical distance between the second electric power device and the bridge and the cable allowance to obtain the cable paving length.
Optionally, the cable parameter values include at least one of cost, electrical conductivity, mechanical, thermal, corrosion resistance, weather resistance, and aging properties.
Optionally, the converting the cable parameter values of the power cable into the corresponding effect values respectively includes:
determining an effect value corresponding to each cable parameter value by adopting a first formula, wherein the first formula comprises:
，
wherein ,，irepresent the firstiParameter of the item cable->Represent the firstiCable parameter value corresponding to the item cable parameter, +.>Is the firstiEffect value corresponding to cable parameter value of the item cable parameter,/-> and />For scaling constant, ++>Is the firstiThe cable parameter maximum value of the item cable parameter,is the firstiCable parameter minimum value of the item cable parameter, < ->For risk attitude, add>In order to determine the value of the electric field,erepresenting the natural constant, ln (·) represents a logarithmic function underlying the natural constant.
Optionally, the determining the weights corresponding to the cable parameter values respectively includes:
obtaining a plurality of evaluation results obtained by evaluating the importance of different cable parameters by a plurality of experts, wherein each evaluation result comprises an importance comparison result between every two cable parameters;
respectively establishing an evaluation matrix corresponding to each expert according to each evaluation result, performing consistency verification according to the maximum characteristic root of each evaluation matrix, and determining a weight vector corresponding to each evaluation matrix according to the verification result, wherein each weight vector comprises the initial weight of each cable parameter;
determining the group credibility of each weight vector through analytic hierarchy process;
and for each cable parameter, carrying out weighted summation on the initial weight corresponding to the cable parameter in each weight vector and the corresponding group credibility to obtain the final weight of the cable parameter.
Optionally, the determining the group credibility of each weight vector through hierarchical analysis includes:
for any two weight vectors, determining cosine of an included angle between the two weight vectors so as to determine similarity between the two weight vectors;
for any one evaluation result, determining the geometric similarity coefficient of the evaluation result according to the similarity between the evaluation result and each other weight vector, and carrying out normalization processing on the geometric similarity coefficient to obtain evaluation similarity between the evaluation result and other evaluation results;
for each cable parameter, calculating a weight average value of the cable parameter according to all initial weights corresponding to the cable parameter;
for each weight vector, determining the absolute value of the difference value between the initial weight of each cable parameter in the weight vector and the corresponding weight average value, and adding the absolute values corresponding to each cable parameter to obtain the difference value of the weight vector;
determining the total difference value of all the weight vectors, and determining the ratio of the difference value of each weight vector to the total difference value of all the weight vectors to obtain the difference degree of each weight vector;
the group credibility of each weight vector is determined according to the variance and the evaluation similarity.
In a second aspect, the present application provides a power cable profile selection apparatus comprising:
the acquisition module is used for acquiring the cable laying length between two power devices and a plurality of optional power cables with different types;
the processing module is used for respectively determining a plurality of cable parameter values of the power cable according to the cable laying length of any model of the power cable, respectively converting each cable parameter value of the power cable into a corresponding effect value, and respectively determining the weight corresponding to each cable parameter value;
the evaluation module is used for carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain performance evaluation results of the power cables of various types;
and the comparison module is used for comparing the performance evaluation results of the power cables with various types and determining the type of the power cable between the two power devices according to the comparison results.
In a third aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the power cable selection method according to the first aspect.
The power cable type selection method, the device and the storage medium have the beneficial effects that: the required cable lay length between the two power devices may be determined by calculation and the model of the alternative power cable may be obtained from a pre-established library of cable models. A plurality of cable parameter values for different models of power cable are determined in conjunction with the cable lay length, the cable parameter values may include cost, electrical conductivity values, mechanical and thermal performance values, and the like. The cable parameter values with different dimensions are converted into effect values with the same dimension, and the weight of each cable parameter can be set according to the preference or actual requirement of a decision maker, for example, when the decision maker looks at heavy cost control, the weight corresponding to the cost can be improved. And comprehensively considering various cable parameter values influencing the performance of the power cable, and carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain the performance evaluation results of the power cables of different models. Compared with the prior art, only the cost and the conductivity value of the power cable are considered, the comprehensive performance evaluation of the power cable is improved, and the accuracy of the type selection of the power cable is improved by comparing the performance evaluation results of the power cables of various types and selecting the optimal power cable type.
Drawings
Fig. 1 is a schematic flow chart of a power cable type selection method according to an embodiment of the application;
FIG. 2 is a flow chart of determining the corresponding weights of the cable parameter values according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a power cable selection device according to an embodiment of the application.
Detailed Description
In order that the above objects, features and advantages of the application will be readily understood, a more particular description of the application will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. While the application is susceptible of embodiment in the drawings, it is to be understood that the application may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the application. It should be understood that the drawings and embodiments of the application are for illustration purposes only and are not intended to limit the scope of the present application.
It should be understood that the various steps recited in the method embodiments of the present application may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the application is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments"; the term "optionally" means "alternative embodiments". Related definitions of other terms will be given in the description below. It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the devices in the embodiments of the present application are for illustrative purposes only and are not intended to limit the scope of such messages or information.
As shown in fig. 1, a method for selecting a power cable according to an embodiment of the present application includes:
s100, obtaining the cable laying length between two power devices and a plurality of alternative power cables with different models.
Specifically, a laying path of the cable between two electric devices can be planned in advance, and the laying path is measured to determine the laying length of the cable. The model of various power cables for the current path can be determined from a pre-established power cable model database, for example, various alternative different models can be determined according to the experience of staff, and the model of the power cable is primarily screened to improve the model selection efficiency.
S200, for any type of power cable, respectively determining a plurality of cable parameter values of the power cable according to the cable laying length, respectively converting each cable parameter value of the power cable into a corresponding effect value, and respectively determining the weight corresponding to each cable parameter value.
Specifically, each cable parameter value is converted into a corresponding effect value, so that a plurality of cable parameter values with different dimensions can be converted into the same dimension, and the influence of the different cable parameter values on the performance of the power cable is comprehensively considered, so that the comprehensiveness of the performance evaluation of the power cable is improved.
Optionally, the cable parameter values include at least one of cost, electrical conductivity, mechanical, thermal, corrosion resistance, weather resistance, and aging properties.
Specifically, the conductive performance value may include an insulation resistance value and the like of the power cable, the mechanical performance value may include a tensile strength value of the power cable, the thermal performance value may include a temperature resistance level and the like of the power cable, the corrosion resistance value may include an electrochemical corrosion resistance value and the like of the power cable, the weather resistance value may include a salt spray resistance value and the like of the power cable, and the aging performance value represents a capability value of the power cable to maintain its original performance under external factors such as mechanical stress and electrical stress or external climate conditions. The cable parameter values of the power cables of different types of unit lengths can be determined in advance through experiments and the like, and then the cable parameter values of the cables of corresponding lengths are determined according to the cable laying lengths, for example, for one type of power cable, the cost of the power cable of unit length can be multiplied by the cable laying length to obtain the cost of the power cable.
It will be appreciated that a portion of the cable parameter values are related to the cable lay length and a portion of the cable parameter values are not related to the cable lay length.
And S300, carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain performance evaluation results of the power cables of various types.
And S400, comparing the performance evaluation results of the power cables with various types, and determining the type of the power cable between the two power devices according to the comparison result.
Specifically, by comparing the performance evaluation results of the power cables of different models, an optimal power cable model is selected as the model of the power cable between the two power devices.
In this embodiment, the cable laying length required between two power devices may be determined by calculation, and the model of the power cable that may be selected may be obtained from a pre-established cable model library. A plurality of cable parameter values for different models of power cable are determined in conjunction with the cable lay length, the cable parameter values may include cost, electrical conductivity values, mechanical and thermal performance values, and the like. The cable parameter values with different dimensions are converted into effect values with the same dimension, and the weight of each cable parameter can be set according to the preference or actual requirement of a decision maker, for example, when the decision maker looks at heavy cost control, the weight corresponding to the cost can be improved. And comprehensively considering various cable parameter values influencing the performance of the power cable, and carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain the performance evaluation results of the power cables of different models. Compared with the prior art, only the cost and the conductivity value of the power cable are considered, the comprehensive performance evaluation of the power cable is improved, and the accuracy of the type selection of the power cable is improved by comparing the performance evaluation results of the power cables of various types and selecting the optimal power cable type.
Optionally, the obtaining the cable laying length between the two electrical devices includes:
and determining the cable laying length according to the horizontal distance between the two power equipment and a preset laying mode.
Specifically, the laying modes of the power cable can comprise direct-buried laying, pipeline laying and bridge laying, the lengths of the cables corresponding to different laying modes are different, and the laying modes of the power cable can be selected according to the actual situation and the laying cost of the site.
Optionally, the determining the cable laying length according to the horizontal distance between the two electric devices and the preset laying mode includes:
when the laying mode is direct burial or pipeline laying, multiplying the horizontal distance between two electric devices by a preset cable amplification proportion, and adding the product to the preset cable burial depth, the ground clearance of the first electric device, the ground clearance of the second electric device and the cable allowance to obtain the cable laying length.
Specifically, when the cable laying mode is direct-buried or pipeline laying, the cable laying length=horizontal distance between two electric devices×cable amplification ratio+cable buried depth+ground clearance of the first electric device+ground clearance of the second electric device+cable allowance, wherein the cable amplification ratio and the cable allowance can be set according to site topography conditions.
Optionally, the determining the cable laying length according to the horizontal distance between the two electric devices and the preset laying mode includes:
when the paving mode is bridge paving, multiplying the horizontal distance between two electric power devices by a preset cable amplification proportion, and adding the product to the preset vertical distance between the first electric power device and the bridge, the vertical distance between the second electric power device and the bridge and the cable allowance to obtain the cable paving length.
Specifically, when the cable laying manner is a bridge, the cable laying length=the horizontal distance between two power devices×the cable amplification ratio+the vertical distance between the first power device and the bridge+the vertical distance between the second power device and the bridge+the cable margin, where the cable margin may be set according to the actual situation.
Optionally, the converting the cable parameter values of the power cable into the corresponding effect values respectively includes:
determining an effect value corresponding to each cable parameter value by adopting a first formula, wherein the first formula comprises:
，
wherein ,，
irepresent the firstiThe parameters of the cable are set up in such a way that,represent the firstiCable parameter value corresponding to the item cable parameter, +.>Is the firstiEffect value corresponding to cable parameter value of the item cable parameter,/-> and />For scaling constant, ++>Is the firstiCable parameter maximum value of the item cable parameter, +.>Is the firstiCable parameter minimum value of the item cable parameter, < ->For risk attitude, add>In order to determine the value of the electric field,ethe natural constant is expressed, ln (·) is a logarithmic function based on the natural constant, for example, the cost maximum value of the power cable is 20 ten thousand, the effect value corresponding to the cost maximum value can be set to 1, and if the cost minimum value of the power cable is 1 ten thousandThe effect value corresponding to the minimum cost value is set to 0, the effect values corresponding to other cost values of the cable take on values between 0 and 1,for risk attitude, add>To determine equivalence, a decision maker gives decision values for the maximum and minimum risk parameters, such as: for a power cable model to be tested, the probability of 50% of the conductivity value is 20, the probability of 50% is 95, when the decision value considers that the actual technical condition is evaluated, the result of 70 is marginal, the value of 70 is determined,erepresenting the natural constant, ln (·) represents a logarithmic function underlying the natural constant.
Specifically, the units and dimensions corresponding to different cable parameters are different, for example: the unit of cost is meta and the unit of insulation resistance is ohm. The cable parameter values of all cable parameters can be respectively converted into values between 0 and 1 without dimension by adopting a multi-attribute utility function, so that the same treatment is convenient. Because the evaluation angles of different cable parameters are different, for example, the lower the cost is, the better the conductivity value is, the higher the conductivity value is, the different cable parameters can be converted into the utility value evaluated in the same direction by adopting a multi-attribute utility function, for example, the larger the value is, the better the evaluation result is, and the unified processing is facilitated. The multi-attribute utility function can reflect the attitudes of the decision maker through the risk attitudes, for example, the decision maker keeps neutral attitudes on the cost and keeps conservative attitudes on the conductivity value, and the risk attitudes corresponding to different cable parameters can be adjusted according to actual conditions, so that the evaluation result is closer to the attitudes of the decision maker.
Optionally, as shown in fig. 2, the determining weights corresponding to the cable parameter values respectively includes:
s210, acquiring a plurality of evaluation results obtained by evaluating the importance of different cable parameters by a plurality of experts, wherein each evaluation result comprises an importance comparison result between every two cable parameters.
Specifically, each expert may evaluate the relative importance (i.e., the ratio of the importance levels of two cable parameters) between each two cable parameters using a 9-level scaling method, for example, the importance of two cable parameters is equally important when the importance comparison result is 1, the importance of the former cable parameter relative to the latter cable parameter is extremely important when the importance comparison result is 9, the importance of one cable parameter relative to the other cable parameter is more important when the importance comparison result is from 1 to 9, and conversely, the reciprocal is used when one cable parameter is less important relative to the other cable parameter.
S220, respectively establishing evaluation matrixes corresponding to the experts according to the evaluation results, performing consistency verification according to the maximum characteristic root of each evaluation matrix, and determining weight vectors corresponding to the evaluation matrixes according to the verification results, wherein each weight vector comprises initial weights of the cable parameters.
Illustratively, the evaluation matrix established for the evaluation result of one expert is as follows:
，
wherein ,for evaluating the matrix +.>Indicating the number of cable parameters +.>Representing the cable parameters +.>Is>Relative to the cable parameters->Is>Ratio of (1), e.g. if the cable parameters +>Relative to the cable parameters->Extreme importance, then->9 and->If the cable parameters->Relative to the cable parameters->Extremely important, the cable parameters are described>Relative to the cable parameters->Extremely unimportant +.>1/9.
Computing an evaluation matrixMaximum feature root->According to the maximum characteristic root->Consistency verification is performed, and a consistency index CI (consistency index) is calculated first:
，
then searching a corresponding average random consistency index RI (Random Index) in a preset random consistency index table shown in a first table.
Table one random uniformity index RI
| Evaluating matrix order m | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| RI | 0 | 0 | 0.58 | 0.89 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 |
Determining the ratio between the consistency index CI and the random consistency index obtained by searching to obtain a consistency ratio CR (consistency ratio):
,
when the CR value is smaller than 0.1, the evaluation matrix determines the maximum characteristic root through consistency checkThe corresponding feature vector is a weight vector, the weight vector comprises weights of all cable parameters determined by an analytic hierarchy process on the evaluation result of a single expert, for example, the weight vector corresponding to each evaluation matrix comprises initial weights of cost, conductive performance value, mechanical performance value, thermal performance value, corrosion resistance value, weather resistance value and aging performance value respectively.
S230, determining the group credibility of each weight vector through analytic hierarchy process;
and S240, for each cable parameter, carrying out weighted summation on the initial weight corresponding to the cable parameter in each weight vector and the corresponding group credibility to obtain the final weight of the cable parameter.
In particular, the method comprises the steps of,，
wherein ,representing cable parameter 1 through cable parameter n in group hierarchy analysisSet of final weights under law, +.>Representing the final weight of the cable parameter i under group hierarchy analysis,irepresent the firstiParameter of the item cable->Indicate->Group credibility of individual weight vectors, < ->Indicate->The (th) of the weight vectors>Initial weights of the individual cable parameters.
In this alternative embodiment, the weight vector of each cable parameter is first obtained for the evaluation result of a single expert, which may result in a certain subjectivity and contingency of the initial weight obtained. After the evaluation results of all the experts are processed, the evaluation results of all the experts can be judged by adopting a group analytic hierarchy process, wherein the evaluation results with higher commonality are generally consistent with the actual situation, and the group credibility is higher. Some assessment results deviate from most assessment results due to subjective judgment or other reasons, and the reliability of the assessment results is low. The final weight of each cable parameter under the group analytic hierarchy process is determined by combining the initial weight determined by the single analytic hierarchy process and the group credibility of each evaluation result, so that the objectivity of the determined final weight can be improved, and the evaluation accuracy of the power cable performance is further improved.
Optionally, the determining the group credibility of each weight vector through hierarchical analysis includes:
s231, for any two weight vectors, determining cosine of an included angle between the two weight vectors so as to determine similarity between the two weight vectors.
Specifically, the cosine of the included angle between the two weight vectors is calculated according to a cosine formula, and the cosine of the included angle characterizes the similarity between the two weight vectors.
S232, for any one evaluation result, determining the geometric similarity coefficient of the evaluation result according to the similarity between the evaluation result and each other weight vector, and carrying out normalization processing on the geometric similarity coefficient to obtain the evaluation similarity between the evaluation result and the other evaluation results.
Specifically, assuming that there are m expert evaluation results, the weight vectors corresponding to the m evaluation results are respectivelyAnd calculating the geometric similarity coefficient of the assessment result according to the similarity among the weights:
，
where m represents the number of assessment results,indicate->The larger the value of the geometrical similarity coefficient of the evaluation result is, the greater the credibility of the evaluation result is,/>Representing weight vector +.>And weight vector->Similarity between, i.e. weight vectorAnd weight vector->Cosine of the space angle between them.
Carrying out normalization processing on the geometric similarity coefficient to determine the evaluation similarity between the evaluation result of one expert and the evaluation results of other experts:
，
wherein ,indicate->And (5) evaluating similarity between each evaluation result and other evaluation results.
S233, for each cable parameter, calculating a weight average value of the cable parameter according to all initial weights corresponding to the cable parameter.
Specifically, each weight vector includes initial weights of the respective cable parameters, and it is assumed that the weight vector corresponding to the kth evaluation result includes n initial weights of the cable parameters respectivelyThen:
，
where m represents the number of assessment results, n represents the number of cable parameters,representing the +.f in the weight vector corresponding to all assessment results>Mean value of the initial weights of the individual cable parameters, < ->Representing the +.f in the kth assessment>Initial weights corresponding to the individual cable parameters.
S234, for each weight vector, determining the absolute value of the difference value between the initial weight of each cable parameter in the weight vector and the corresponding weight average value, and adding the absolute values corresponding to the cable parameters to obtain the difference value of the weight vector.
S235, determining the total difference value of all the weight vectors, and determining the ratio of the difference value of each weight vector to the total difference value of all the weight vectors to obtain the difference degree of each weight vector.
Specifically, the degree of difference of the respective weight vectors is calculated separately:
，
wherein ,，/>，/>indicate->The degree of difference of the weight vectors corresponding to the individual evaluation results, i.e. the ratio of the difference value corresponding to the evaluation result of the kth expert to the total difference value corresponding to the evaluation result of all experts,/, respectively>Representing the kth evaluation result in the corresponding weight vector +.>Absolute value of the difference between the initial weight and the weight mean of the individual cable parameters, < >>The sum of absolute values corresponding to the cable parameters in the kth evaluation result is represented, n represents the number of the cable parameters, and m represents the number of the evaluation results.
S236, determining the group credibility of each weight vector according to the difference degree and the evaluation similarity.
Specifically, the group credibility of each weight vector is calculated respectively:
，
where k represents the kth assessment result (weight vector),indicate->Group credibility of weight vector corresponding to each evaluation result,/->Indicate->The difference degree of the weight vectors corresponding to the evaluation results, < ->Indicate->The individual assessment results correspond to the assessment similarity of the weight vectors, m representing the number of assessment results (i.e. the number of weight vectors).
As shown in fig. 3, a power cable type selecting device provided by an embodiment of the present application includes:
the acquisition module is used for acquiring the cable laying length between two power devices and a plurality of optional power cables with different types;
the processing module is used for respectively determining a plurality of cable parameter values of the power cable according to the cable laying length of any model of the power cable, respectively converting each cable parameter value of the power cable into a corresponding effect value, and respectively determining the weight corresponding to each cable parameter value;
the evaluation module is used for carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain performance evaluation results of the power cables of various types;
and the comparison module is used for comparing the performance evaluation results of the power cables with various types and determining the type of the power cable between the two power devices according to the comparison results.
The power cable type selection device of the present embodiment is used to implement the power cable type selection method described above, and the advantages of the power cable type selection device compared with the prior art are the same as those of the power cable type selection method described above compared with the prior art, and are not described herein again.
Optionally, the acquiring module is specifically configured to: and determining the cable laying length according to the horizontal distance between the two power equipment and a preset laying mode.
Optionally, the acquiring module is specifically further configured to: when the laying mode is direct burial or pipeline laying, multiplying the horizontal distance between two electric devices by a preset cable amplification proportion, and adding the product to the preset cable burial depth, the ground clearance of the first electric device, the ground clearance of the second electric device and the cable allowance to obtain the cable laying length.
Optionally, the acquiring module is specifically further configured to: when the paving mode is bridge paving, multiplying the horizontal distance between two electric power devices by a preset cable amplification proportion, and adding the product to the preset vertical distance between the first electric power device and the bridge, the vertical distance between the second electric power device and the bridge and the cable allowance to obtain the cable paving length.
Optionally, the cable parameter values include at least one of cost, electrical conductivity, mechanical, thermal, corrosion resistance, weather resistance, and aging properties.
Optionally, the processing module is specifically configured to: obtaining a plurality of evaluation results obtained by evaluating the importance of different cable parameters by a plurality of experts, wherein each evaluation result comprises an importance comparison result between every two cable parameters; respectively establishing an evaluation matrix corresponding to each expert according to each evaluation result, performing consistency verification according to the maximum characteristic root of each evaluation matrix, and determining a weight vector corresponding to each evaluation matrix according to the verification result, wherein each weight vector comprises the initial weight of each cable parameter; determining the group credibility of each weight vector through analytic hierarchy process; and for each cable parameter, carrying out weighted summation on the initial weight corresponding to the cable parameter in each weight vector and the corresponding group credibility to obtain the final weight of the cable parameter.
Optionally, the processing module is specifically further configured to: for any two weight vectors, determining cosine of an included angle between the two weight vectors so as to determine similarity between the two weight vectors; for any one evaluation result, determining the geometric similarity coefficient of the evaluation result according to the similarity between the evaluation result and each other weight vector, and carrying out normalization processing on the geometric similarity coefficient to obtain evaluation similarity between the evaluation result and other evaluation results; for each cable parameter, calculating a weight average value of the cable parameter according to all initial weights corresponding to the cable parameter; for each weight vector, determining the absolute value of the difference value between the initial weight of each cable parameter in the weight vector and the corresponding weight average value, and adding the absolute values corresponding to each cable parameter to obtain the difference value of the weight vector; determining the total difference value of all the weight vectors, and determining the ratio of the difference value of each weight vector to the total difference value of all the weight vectors to obtain the difference degree of each weight vector; the group credibility of each weight vector is determined according to the variance and the evaluation similarity.
The embodiment of the application provides electronic equipment, which comprises a memory and a processor; the memory is used for storing a computer program; the processor is configured to implement the power cable selection method as described above when executing the computer program.
The embodiment of the application provides a computer readable storage medium, wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the power cable type selection method is realized.
An electronic device that can be a server or a client of the present application will now be described, which is an example of a hardware device that can be applied to aspects of the present application. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the applications described and/or claimed herein.
The electronic device includes a computing unit that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) or a computer program loaded from a storage unit into a Random Access Memory (RAM). In the RAM, various programs and data required for the operation of the device may also be stored. The computing unit, ROM and RAM are connected to each other by a bus. An input/output (I/O) interface is also connected to the bus.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like. In the present application, the units described as separate units may or may not be physically separate, and units displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present application. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
Although the application is disclosed above, the scope of the application is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the application, and these changes and modifications will fall within the scope of the application.
Claims (10)
1. A method of power cable sizing comprising:
obtaining the cable laying length between two power devices and a plurality of alternative power cables with different types;
for any model of the power cable, respectively determining a plurality of cable parameter values of the power cable according to the cable laying length, respectively converting each cable parameter value of the power cable into a corresponding effect value, and respectively determining the weight corresponding to each cable parameter value;
carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain performance evaluation results of the power cables of various types;
comparing the performance evaluation results of the power cables of various types, and determining the type of the power cable between two power devices according to the comparison results.
2. The power cable selection method according to claim 1, wherein the obtaining a cable lay length between two power devices comprises:
and determining the cable laying length according to the horizontal distance between the two power equipment and a preset laying mode.
3. The power cable selection method according to claim 2, wherein the determining the cable laying length according to a horizontal distance between two power devices and a preset laying manner comprises:
when the laying mode is direct burial or pipeline laying, multiplying the horizontal distance between two electric devices by a preset cable amplification proportion, and adding the product to the preset cable burial depth, the ground clearance of the first electric device, the ground clearance of the second electric device and the cable allowance to obtain the cable laying length.
4. The power cable selection method according to claim 2, wherein the determining the cable laying length according to a horizontal distance between two power devices and a preset laying manner comprises:
when the paving mode is bridge paving, multiplying the horizontal distance between two electric power devices by a preset cable amplification proportion, and adding the product to the preset vertical distance between the first electric power device and the bridge, the vertical distance between the second electric power device and the bridge and the cable allowance to obtain the cable paving length.
5. The power cable selection method according to any one of claims 1 to 4, wherein the cable parameter values include at least one of cost, electrical conductivity, mechanical property, thermal property, corrosion resistance, weather resistance and aging properties.
6. The power cable selection method according to any one of claims 1 to 4, wherein the converting the respective cable parameter values of the power cable into corresponding effect values, respectively, comprises:
determining an effect value corresponding to each cable parameter value by adopting a first formula, wherein the first formula comprises:
，
wherein ,，irepresent the firstiParameter of the item cable->Represent the firstiCable parameter value corresponding to the item cable parameter, +.>Is the firstiEffect value corresponding to cable parameter value of the item cable parameter,/-> and />For scaling constant, ++>Is the firstiCable parameter maximum value of the item cable parameter, +.>Is the firstiCable parameter minimum value of the item cable parameter, < ->For risk attitude, add>In order to determine the value of the electric field,erepresenting the natural constant, ln (·) represents a logarithmic function underlying the natural constant.
7. The power cable selection method of claim 6, wherein the determining weights corresponding to the respective cable parameter values comprises:
obtaining a plurality of evaluation results obtained by evaluating the importance of different cable parameters by a plurality of experts, wherein each evaluation result comprises an importance comparison result between every two cable parameters;
respectively establishing an evaluation matrix corresponding to each expert according to each evaluation result, performing consistency verification according to the maximum characteristic root of each evaluation matrix, and determining a weight vector corresponding to each evaluation matrix according to the verification result, wherein each weight vector comprises the initial weight of each cable parameter;
determining the group credibility of each weight vector through analytic hierarchy process;
and for each cable parameter, carrying out weighted summation on the initial weight corresponding to the cable parameter in each weight vector and the corresponding group credibility to obtain the final weight of the cable parameter.
8. The power cable selection method of claim 7, wherein the determining the group credibility of each of the weight vectors by hierarchical analysis comprises:
for any two weight vectors, determining cosine of an included angle between the two weight vectors so as to determine similarity between the two weight vectors;
for any one evaluation result, determining the geometric similarity coefficient of the evaluation result according to the similarity between the evaluation result and each other weight vector, and carrying out normalization processing on the geometric similarity coefficient to obtain evaluation similarity between the evaluation result and other evaluation results;
for each cable parameter, calculating a weight average value of the cable parameter according to all initial weights corresponding to the cable parameter;
for each weight vector, determining the absolute value of the difference value between the initial weight of each cable parameter in the weight vector and the corresponding weight average value, and adding the absolute values corresponding to each cable parameter to obtain the difference value of the weight vector;
determining the total difference value of all the weight vectors, and determining the ratio of the difference value of each weight vector to the total difference value of all the weight vectors to obtain the difference degree of each weight vector;
the group credibility of each weight vector is determined according to the variance and the evaluation similarity.
9. A power cable selection device, comprising:
the acquisition module is used for acquiring the cable laying length between two power devices and a plurality of optional power cables with different types;
the processing module is used for respectively determining a plurality of cable parameter values of the power cable according to the cable laying length of any model of the power cable, respectively converting each cable parameter value of the power cable into a corresponding effect value, and respectively determining the weight corresponding to each cable parameter value;
the evaluation module is used for carrying out weighted summation on the effect value and the weight corresponding to each cable parameter value to obtain performance evaluation results of the power cables of various types;
and the comparison module is used for comparing the performance evaluation results of the power cables with various types and determining the type of the power cable between the two power devices according to the comparison results.
10. A computer readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the power cable selection method according to any one of claims 1 to 8.
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