CN108388949B - Power equipment allocation method and system based on equipment relative service environment sensitivity - Google Patents
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Abstract
The invention relates to a power equipment allocation system and a method based on equipment sensitivity to service environment, wherein the sensitivity coefficient of a performance parameter relative to the service environment parameter is obtained according to the acquired performance parameter of the power equipment and the service environment parameter of the power equipment; and comparing the sensitivity coefficient with the sensitivity threshold, and selecting different adjusting equipment to be configured on the power equipment according to the comparison result. According to the scheme, different adjusting devices are selected according to the sensitivity coefficient of the performance parameter relative to the service environment parameter and are configured on the power equipment, the adjusting devices can adjust the performance parameter of the power equipment, the influence of the service environment on the performance parameter of the power equipment is inhibited, the maintenance frequency and time of the power equipment are reduced, and therefore the operation and maintenance cost of the power equipment is reduced.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a power equipment allocation method and system based on equipment relative service environment sensitivity.
Background
Electric power equipment belongs to an electric power system, provides functions of electric energy transmission, energy control, fault elimination and the like, and is an important component of the electric power system. The power equipment is widely used in various working environments, and along with the duration of working time, the power equipment is affected by working environment factors to generate faults and needs to be maintained, the maintenance process is complicated and time-consuming, and the operation and maintenance cost of the power equipment is high.
Disclosure of Invention
Therefore, it is necessary to provide a method and a system for deploying power equipment based on the sensitivity of the equipment to the service environment, in order to solve the problem of high operation and maintenance costs of the conventional power equipment.
A power equipment allocation method based on equipment sensitivity to service environment comprises the following steps:
acquiring performance parameters of the power equipment and service environment parameters of the power equipment;
acquiring a sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter;
and comparing the sensitivity coefficient with the sensitivity threshold, and selecting the adjusting equipment to be configured on the power equipment according to the comparison result.
Further, the step of acquiring the performance parameters of the electrical equipment comprises the following steps:
the method comprises the steps of obtaining a power equipment fault tree model, determining a target performance parameter type of the power equipment according to the fault tree model, detecting the power equipment, and obtaining a target performance parameter cluster.
Further, the step of obtaining the service environment parameters of the power equipment comprises the following steps:
summarizing the service environment parameters of the power equipment, classifying the service environment parameters of the summarized power equipment by adopting a cluster analysis method, and acquiring different types of service environment parameter clusters.
Further, the step of obtaining the sensitivity coefficient relative to the service environment parameter according to the performance parameter and the service environment parameter comprises the following steps:
classifying the target performance parameter clusters by adopting a cluster analysis method, and respectively analyzing the distribution rule of the target type parameter clusters of different types;
respectively analyzing the distribution rule of different service environment parameter clusters;
and acquiring the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster.
Further, the categories of the target type parameter cluster include insulation performance, current carrying performance, mechanical performance, sealing performance, gas composition, and oil composition.
Further, the step of obtaining the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster comprises the following steps:
and acquiring the variation of the target performance parameter corresponding to the unit variation of the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster, and determining the sensitivity coefficient according to the variation of the target performance parameter.
Further, the step of selecting the adjusting device to be configured on the power device according to the comparison result comprises the following steps:
if the sensitivity coefficient is larger than the sensitivity threshold, selecting first adjusting equipment to be configured on the power equipment; the adjusting parameters of the first adjusting device are related to service environment parameters corresponding to the sensitivity coefficients;
if the sensitivity coefficient is smaller than or equal to the sensitivity threshold, selecting second adjusting equipment to be configured on the power equipment; the adjustment parameters of the second adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients, and the adjustment amplitude of the second adjusting device is smaller than that of the first adjusting device.
Further, the step of selecting the adjusting device to be configured on the power device according to the comparison result comprises the following steps:
if the sensitivity coefficient is larger than the sensitivity threshold and the change rate of the service environment parameter corresponding to the sensitivity coefficient is larger than the change threshold, selecting first adjusting equipment to configure the first adjusting equipment on the power equipment; the adjusting parameters of the first adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients.
An electrical equipment deployment system based on equipment sensitivity to service environment, comprising:
the parameter acquisition unit is used for acquiring performance parameters of the power equipment and service environment parameters of the power equipment;
the sensitivity analysis unit is used for acquiring a sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter;
and the comparison configuration unit is used for comparing the sensitivity coefficient with the sensitivity threshold value and selecting the adjusting equipment to be configured on the power equipment according to the comparison result.
According to the power equipment allocation method and system based on the equipment sensitivity to the service environment, the sensitivity coefficient of the performance parameter to the service environment parameter is obtained according to the acquired performance parameter of the power equipment and the service environment parameter of the power equipment; and comparing the sensitivity coefficient with the sensitivity threshold, and selecting different adjusting equipment to be configured on the power equipment according to the comparison result. According to the scheme, different adjusting devices are selected according to the sensitivity coefficient of the performance parameter relative to the service environment parameter and are configured on the power equipment, the adjusting devices can adjust the performance parameter of the power equipment, the influence of the service environment on the performance parameter of the power equipment is inhibited, the maintenance frequency and time of the power equipment are reduced, and therefore the operation and maintenance cost of the power equipment is reduced.
A readable storage medium having stored thereon an executable program which, when executed by a processor, performs the steps of the above-described method for provisioning electrical equipment based on equipment sensitivity to service environment.
A computer device comprises a memory, a processor and an executable program which is stored on the memory and can run on the processor, and the steps of the power device deployment method based on the device sensitivity to the service environment are realized when the processor executes the program.
According to the power equipment allocation method based on the equipment relative service environment sensitivity, the invention also provides a readable storage medium and computer equipment, which are used for realizing the power equipment allocation method based on the equipment relative service environment sensitivity through a program, different adjusting equipment is selected and allocated to the power equipment according to the sensitivity coefficient of the performance parameter relative to the service environment parameter, the adjusting equipment can adjust the performance parameter of the power equipment, the influence of the service environment on the performance parameter of the power equipment is inhibited, the maintenance times and time of the power equipment are reduced, and the operation and maintenance cost of the power equipment is reduced.
Drawings
FIG. 1 is a schematic flow chart of a power equipment deployment method based on equipment sensitivity to service environment according to an embodiment;
FIG. 2 is a schematic structural diagram of a power equipment deployment system based on equipment sensitivity to service environment according to an embodiment;
FIG. 3 is a schematic flow chart illustrating a power equipment deployment method based on equipment sensitivity to service environment according to an embodiment of the present invention;
fig. 4 is a schematic parameter processing diagram of a power equipment deployment method based on equipment sensitivity to service environment according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the detailed description and specific examples, while indicating the scope of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a schematic flow chart of a power equipment deployment method based on equipment sensitivity to service environment according to an embodiment of the present invention. The power equipment deployment method based on the equipment sensitivity to the service environment in the embodiment comprises the following steps:
step S110: acquiring performance parameters of the power equipment and service environment parameters of the power equipment;
in this step, the performance parameters of the power equipment may be various physical performance parameters of the power equipment itself, the power equipment is generally in a specific working environment, i.e., a service environment, when in use, and the service environment parameters may be parameters that affect the performance of the power equipment in the service environment;
step S120: acquiring a sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter;
in the step, the sensitivity coefficient reflects the influence degree of the change of the service environment parameters on the performance parameters;
step S130: and comparing the sensitivity coefficient with the sensitivity threshold, and selecting the adjusting equipment to be configured on the power equipment according to the comparison result.
In this step, the corresponding adjusting device is determined according to the size of the sensitivity coefficient, and the power device is configured.
In this embodiment, a sensitivity coefficient of the performance parameter relative to the service environment parameter is obtained according to the obtained performance parameter of the power equipment and the service environment parameter of the power equipment; and comparing the sensitivity coefficient with the sensitivity threshold, and selecting different adjusting equipment to be configured on the power equipment according to the comparison result. According to the scheme, different adjusting devices are selected according to the sensitivity coefficients of the performance parameters and the service environment parameters and are configured on the power equipment, the adjusting devices can adjust the performance parameters of the power equipment, the influence of the service environment on the performance parameters of the power equipment is inhibited, the maintenance frequency and time of the power equipment are reduced, and therefore the operation and maintenance cost of the power equipment is reduced.
It should be noted that the service environment parameters may be related parameters of different service environments, including normal natural environments, high temperature, high humidity, high cold, high altitude, high dust, high pollution, and the like.
In one embodiment, the step of obtaining the performance parameter of the power equipment comprises the following steps:
the method comprises the steps of obtaining a power equipment fault tree model, determining a target performance parameter type of the power equipment according to the fault tree model, detecting the power equipment, and obtaining a target performance parameter cluster.
In this embodiment, the power equipment fault tree model is used to determine the target performance parameter type that easily causes the power equipment fault, and then the power equipment is detected to obtain the corresponding target performance parameter cluster, so that the number of performance parameters can be reduced, other performance parameters that have less influence on the power equipment are eliminated, and the adjusting equipment is selected more specifically.
It should be noted that, after the target performance parameter type is determined, the detection of the electrical equipment is performed in different test environments, and specific parameters of the test environments may be determined according to service environment parameters of the electrical equipment.
In one embodiment, the step of acquiring the service environment parameters of the power equipment comprises the following steps:
summarizing the service environment parameters of the power equipment, classifying the service environment parameters of the summarized power equipment by adopting a cluster analysis method, and acquiring different types of service environment parameter clusters.
In this embodiment, the service environment parameters may be various, and the collected service environment parameters are classified by a cluster analysis method, so that service environment parameter clusters of different types can be obtained, thereby facilitating acquisition of a sensitivity coefficient of the performance parameter relative to a specific type of service environment parameter, and improving effectiveness of the sensitivity coefficient.
In one embodiment, the step of obtaining the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter includes the following steps:
classifying the target performance parameter clusters by adopting a cluster analysis method, and respectively analyzing the distribution rule of the target performance parameter clusters of different types;
respectively analyzing the distribution rule of different service environment parameter clusters;
and acquiring the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster.
In this embodiment, the target performance parameter clusters are classified to obtain different types of target performance parameter clusters, and the distribution rule of the same type of target performance parameter clusters is analyzed to obtain the distribution rule of the type of performance parameters; analyzing the distribution rule of service environment parameter clusters of the same type to obtain the distribution rule of service environment parameters; the sensitivity coefficient of the performance parameter relative to the service environment parameter can be obtained by combining the distribution rules of the two parameters, and the sensitivity coefficient obtained by the method is high in accuracy due to the fact that the distribution rules of the parameters are wide in coverage range.
Optionally, when the sensitivity coefficient is obtained, the sensitivity coefficients of any type of target performance parameter set group relative to different types of service environment parameters may be synthesized to obtain the comprehensive sensitivity coefficient of the type of target performance parameter relative to the service environment parameters, and the specific type number of the service environment parameters may be determined according to the actual service environment of the power equipment.
Optionally, when the distribution rule analysis is performed, methods such as linear regression, hypothesis testing distribution, t distribution, and the like may be used, but the method is not limited thereto.
Specifically, a certain power device is generally in a high-temperature and high-humidity service environment, the insulation parameters of the power device are affected by temperature and humidity, the distribution rule of the temperature and the humidity of the service environment and the distribution rule of the insulation parameters of the power device are obtained through analysis by methods such as linear regression, the sensitivity coefficients of the insulation parameters relative to the temperature and the humidity of the service environment can be obtained according to the distribution rule of the insulation parameters and the distribution rule of the temperature and the humidity of the service environment, the sensitivity coefficients of the insulation parameters relative to the temperature of the service environment and the sensitivity coefficients of the insulation parameters relative to the humidity of the service environment can be weighted and integrated, and the sensitivity coefficients of the insulation parameters relative to the parameter of the service environment can be obtained.
In one embodiment, the categories of the target type parameter clusters include insulation properties, current carrying properties, mechanical properties, sealing properties, gas composition, and oil composition.
In the embodiment, the target type parameter cluster can be in various categories including but not limited to insulation, current carrying, mechanical, sealing, gas composition, oil composition and the like, and the performance of the power equipment can be comprehensively analyzed through various different parameter clusters, so that the influence of the service environment on various performance parameters of the power equipment can be maximally inhibited.
In one embodiment, the step of obtaining the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster includes the following steps:
and acquiring the variation of the target performance parameter corresponding to the unit variation of the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster, and determining the sensitivity coefficient according to the variation of the target performance parameter.
In this embodiment, the sensitivity coefficient may be specifically expressed by a variation of the target performance parameter corresponding to a unit variation of the service environment parameter, and the variation of the service environment parameter and the variation of the corresponding performance parameter are easily obtained by using a distribution rule, so that the sensitivity coefficient may be quickly obtained.
Specifically, the sensitivity coefficient can be calculated by the following formula:
in the formula, x is a cluster analysis result parameter of an operating environment parameter of the electrical equipment, r is a cluster analysis result parameter of a performance parameter of the electrical equipment, S is the sensitivity of the performance parameter of the electrical equipment relative to the operating environment parameter, and is determined by the change rate of the cluster analysis result parameter of the performance parameter of the electrical equipment along with the cluster analysis result parameter of the operating environment parameter of the electrical equipment, and is approximately equal to the ratio of the change amount delta r of r to the change amount delta x of x.
The above is only one specific calculation form of the sensitivity coefficient, and other calculation forms can be adopted; moreover, the distribution rule can also be represented by other data representing regularity.
In one embodiment, the step of selecting the adjusting device to be configured on the power device according to the comparison result includes the following steps:
if the sensitivity coefficient is larger than the sensitivity threshold, selecting first adjusting equipment to be configured on the power equipment; the adjusting parameters of the first adjusting device are related to service environment parameters corresponding to the sensitivity coefficients;
if the sensitivity coefficient is smaller than or equal to the sensitivity threshold, selecting second adjusting equipment to be configured on the power equipment; the adjustment parameters of the second adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients, and the adjustment amplitude of the second adjusting device is smaller than that of the first adjusting device.
In this embodiment, the relation between the sensitivity coefficient and the sensitivity threshold determines the selected adjusting device, and when the sensitivity coefficient is greater than the sensitivity threshold, it indicates that the sensitivity of the current performance parameter of the power device with respect to the service environment parameter is high, that is, the performance parameter is easily affected by the service environment parameter, and at this time, it is necessary to select the first adjusting device to adjust the service environment parameter of the power device; when the sensitivity coefficient is smaller than or equal to the sensitivity threshold, the sensitivity degree of the current performance parameter of the power equipment relative to the service environment parameter is low, namely the performance parameter is less influenced by the service environment parameter, at the moment, the second adjusting equipment is selected to adjust the service environment parameter of the power equipment, and the adjusting amplitude of the second adjusting equipment is smaller than that of the first adjusting equipment. Under the condition of different sensitivity degrees, different adjusting devices are selected to adjust the service environment parameters of the power equipment, so that the actual operation condition of the power equipment is better met, the influence of the service environment is reduced, and the requirement on the adjusting devices is lowered.
Optionally, when the sensitivity coefficient is 0 or smaller than the sensitivity critical value, it indicates that the current performance parameter of the power device is hardly affected by the service environment parameter, and at this time, it is not necessary to select an adjusting device to be configured on the power device.
Specifically, if the sensitivity coefficient of the insulation parameter relative to the high-temperature and high-humidity service environment parameter is 30 and the sensitivity threshold is 20, selecting first adjusting equipment, wherein the adjusting amplitude of the first adjusting equipment to the service environment parameter is 20%; if the sensitivity coefficient is 10, selecting second adjusting equipment, wherein the adjusting range of the first adjusting equipment to the service environment parameters is 5%; if the sensitivity coefficient is 0 or 1, the adjusting device is not selected.
Further, the adjusting device may be a device related to parameters of a service environment of the power device, such as a cooling device in a high temperature environment, a dehumidifying device in a high humidity environment, a heating device in a high cold environment, and the like.
In one embodiment, the step of selecting the adjusting device to be configured on the power device according to the comparison result includes the following steps:
if the sensitivity coefficient is larger than the sensitivity threshold and the change rate of the service environment parameter corresponding to the sensitivity coefficient is larger than the change threshold, selecting first adjusting equipment to configure the first adjusting equipment on the power equipment; the adjusting parameters of the first adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients.
In this embodiment, not only the sensitivity coefficient of the performance parameter of the power equipment relative to the service environment parameter is considered, but also the change rate of the service environment parameter is considered, and if the change rate of the service environment parameter is greater than the change threshold, it indicates that the change degree of the service environment parameter is large, and it is more necessary for the effective adjustment equipment to adjust the power equipment.
In one embodiment, the power equipment comprises a transformer, a circuit breaker, a transformer, a reactor, a capacitor, a disconnector, a grounding switch, a cable line or an overhead line.
In this embodiment, various different power devices can be deployed, so as to improve the reliability of the various power devices, suppress the influence of the service environment on the performance parameters of the power devices, and reduce the maintenance frequency and time of the power devices, thereby reducing the operation and maintenance costs of the various power devices.
According to the power equipment deployment method based on the equipment relative service environment sensitivity, the invention also provides a power equipment deployment system based on the equipment relative service environment sensitivity, and the embodiment of the power equipment deployment system based on the equipment relative service environment sensitivity is explained in detail below.
Fig. 2 is a schematic structural diagram of an electrical equipment deployment system based on equipment sensitivity to service environment according to an embodiment of the present invention. The power equipment deployment system based on the sensitivity of the equipment to the service environment in the embodiment includes:
a parameter obtaining unit 210, configured to obtain performance parameters of the power device and service environment parameters of the power device;
the sensitivity analysis unit 220 is configured to obtain a sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter;
and the comparison configuration unit 230 is configured to compare the sensitivity coefficient with the sensitivity threshold, and select the adjustment device to be configured on the power device according to the comparison result.
In one embodiment, the parameter obtaining unit 210 obtains a fault tree model of the electrical device, determines a target performance parameter type of the electrical device according to the fault tree model, detects the electrical device, and obtains a target performance parameter cluster.
In one embodiment, the parameter obtaining unit 210 collects service environment parameters of the power equipment, classifies the service environment parameters of the collected power equipment by using a cluster analysis method, and obtains different types of service environment parameter clusters.
In one embodiment, the sensitivity analysis unit 220 classifies the target performance parameter clusters by using a cluster analysis method, and respectively analyzes the distribution rules of the different types of target performance parameter clusters; respectively analyzing the distribution rule of different service environment parameter clusters; and acquiring the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster.
In one embodiment, the categories of the target type parameter clusters include insulation properties, current carrying properties, mechanical properties, sealing properties, gas composition, and oil composition.
In one embodiment, the sensitivity analysis unit 220 obtains a variation of the target performance parameter corresponding to a unit variation of the service environment parameter according to a distribution rule of the target performance parameter cluster and a distribution rule of the service environment parameter cluster, and determines the sensitivity coefficient according to the variation of the target performance parameter.
In one embodiment, the comparison configuration unit 230 selects a first adjusting device to configure on the power device when the sensitivity coefficient is greater than the sensitivity threshold; the adjusting parameters of the first adjusting device are related to service environment parameters corresponding to the sensitivity coefficients; when the sensitivity coefficient is smaller than or equal to the sensitivity threshold, selecting second adjusting equipment to be configured on the power equipment; the adjustment parameters of the second adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients, and the adjustment amplitude of the second adjusting device is smaller than that of the first adjusting device.
In one embodiment, the comparison configuration unit 230 selects a first adjusting device to configure on the power device when the sensitivity coefficient is greater than the sensitivity threshold and the change rate of the service environment parameter corresponding to the sensitivity coefficient is greater than the change threshold; the adjusting parameters of the first adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients.
The power equipment deployment system based on the sensitivity of the equipment relative service environment corresponds to the power equipment deployment method based on the sensitivity of the equipment relative service environment, and the technical characteristics and the beneficial effects described in the embodiment of the power equipment deployment method based on the sensitivity of the equipment relative service environment are suitable for the embodiment of the power equipment deployment system based on the sensitivity of the equipment relative service environment.
According to the power equipment allocation method based on the equipment sensitivity to the service environment, the embodiment of the invention also provides a readable storage medium and computer equipment. The readable storage medium stores executable programs, and the programs realize the steps of the power equipment allocation method based on the equipment sensitivity relative to the service environment when being executed by the processor; the computing equipment comprises a memory, a processor and an executable program which is stored on the memory and can run on the processor, and the processor executes the program to realize the power equipment allocation method based on the equipment sensitivity relative to the service environment; different adjusting devices are selected according to the sensitivity coefficient of the performance parameter relative to the service environment parameter and are configured on the power equipment, the adjusting devices can adjust the performance parameter of the power equipment, the influence of the service environment on the performance parameter of the power equipment is restrained, the maintenance frequency and time of the power equipment are reduced, and therefore the operation and maintenance cost of the power equipment is reduced.
In a specific embodiment, the power equipment deployment method based on the equipment sensitivity to the service environment can be applied to the actual use scene of the power equipment of the power system. The power equipment deployment method based on the equipment sensitivity to the service environment can deploy the power equipment by determining the sensitivity of the power equipment to the service environment factors, and the process diagram is shown in fig. 3.
The sensitivity analysis of the performance parameters of the power equipment and all the influencing factors in the service environment comprises the following steps: the method comprises the steps of collecting and screening the performance parameters of the power equipment, collecting and screening the measured value distribution rule of the performance parameters of the power equipment, collecting and screening the service environment parameter data of the power equipment, distributing the parameter data of the service environment of the power equipment, and comparing the sensitivity analysis and the sensitivity analysis results based on the distribution rule of the performance parameters of the power equipment and the distribution rule of the service environment parameter data of the power equipment.
Summarizing and screening performance parameters of the electric power equipment: detectable parameters are determined based on the power equipment fault tree model, and after detection, a parameter cluster representing the performance of the power equipment is formed in an accumulated mode, and then screening is carried out based on performance index requirements and data quality.
The distribution rule of the performance parameters of the electric power equipment adopts a cluster analysis method to classify the performance parameters of the electric power equipment, including but not limited to insulation performance, current-carrying performance, mechanical performance, sealing performance, gas components, oil components and the like. And after classifying the power equipment performance parameter clusters into different categories, respectively analyzing the parameter distribution rules. And analyzing the distribution rule of the performance parameters of the power equipment by adopting methods including but not limited to linear regression, hypothesis test distribution, t distribution and the like.
The service environment parameter data of the power equipment is summarized and screened, or a cluster analysis method can be adopted to classify the parameter clusters into different categories and respectively analyze the distribution rule of the service environment parameter data of the power equipment. In the sensitivity analysis of the distribution rule of the performance parameters of the power equipment and the distribution rule of the service environment parameter data of the power equipment, the variation amplitude value of the performance parameters of the power equipment corresponding to the unit variation of the environment parameters is calculated by adopting a method of calculating the variation amplitude value of the performance parameters of the power equipment, and the process is shown as the following formula:
wherein x is a cluster analysis result parameter of the operating environment parameter of the electrical equipment, r is a cluster analysis result parameter of the performance parameter of the electrical equipment, namely the sensitivity of the performance parameter of the electrical equipment relative to the operating environment parameter, and the cluster analysis result parameter of the performance parameter of the electrical equipment is determined by the change rate of the cluster analysis result parameter of the performance parameter of the electrical equipment along with the cluster analysis result parameter of the operating environment parameter of the electrical equipment, and is approximately equal to the ratio of the change quantity delta r of r to the change quantity delta x of x.
And determining a comparison threshold value of sensitivity analysis calculation results of the performance parameters of the power equipment and the service environment parameters of the power equipment by adopting the test data and/or the statistical data and/or the expert data.
Comparing the sensitivity analysis calculation result with a comparison threshold, when S is larger than the comparison threshold, indicating that the current performance parameter of the power equipment has high sensitivity relative to the service environment parameter, when S is smaller than or equal to the comparison threshold, indicating that the current performance parameter of the power equipment has low sensitivity relative to the service environment parameter, and selecting different adjusting equipment under the condition of different sensitivities.
When the adjustment device is specifically selected, as shown in fig. 4, the service environment parameters of the power device may be divided into a low-sensitivity parameter set and a high-sensitivity parameter set according to the obtained sensitivity analysis result of the power device on the service environment parameters;
determining the fluctuation change rate of the operating environment parameters of the electric power equipment according to the expected deployment conditions of the electric power equipment and dividing the operating environment parameter sets of the electric power equipment into high-fluctuation parameter sets and low-fluctuation parameter sets;
and taking intersection of a high-volatility parameter set in an expected power equipment operation environment parameter set and the obtained high-sensitivity parameter set, wherein the environment parameter in the intersection has high volatility, and the power equipment has the characteristic of high sensitivity relative to the environment parameter. The intersection is an environmental parameter set which has reference value for the safe service and the correct type selection of the power equipment.
According to the scheme of the embodiment of the invention, the actual operation data of the power equipment and the actual parameters of the service environment of the power equipment are adopted, the sensitivity is calculated according to different clustering results, the sensitivity analysis result of the performance parameters of the power equipment relative to the parameters of the service environment is obtained, and a basis can be provided for the safe service of the power equipment and the correct type selection of the adjusting equipment.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program instructing the relevant hardware. The program may be stored in a readable storage medium. Which when executed comprises the steps of the method described above. The storage medium includes: ROM/RAM, magnetic disk, optical disk, etc.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A power equipment deployment method based on equipment relative service environment sensitivity is characterized by comprising the following steps:
acquiring performance parameters of the power equipment and service environment parameters of the power equipment;
acquiring a sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter, wherein the sensitivity coefficient is used for reflecting the influence degree of the change of the service environment parameter on the performance parameter;
comparing the sensitivity coefficient with a sensitivity threshold, and selecting an adjusting device to be configured on the power equipment according to a comparison result, wherein the adjusting device is used for adjusting service environment parameters of the power equipment;
obtaining the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter comprises: and obtaining the variation of the target performance parameter corresponding to the unit variation of the service environment parameter, and determining the sensitivity coefficient according to the variation of the target performance parameter.
2. The method for deploying electrical equipment based on sensitivity of equipment to service environment of claim 1, wherein the step of obtaining performance parameters of the electrical equipment comprises the steps of:
the method comprises the steps of obtaining a fault tree model of the power equipment, determining a target performance parameter type of the power equipment according to the fault tree model, detecting the power equipment, and obtaining a target performance parameter cluster.
3. The method for deploying electrical equipment based on the sensitivity of the equipment to the service environment of claim 2, wherein the step of obtaining the service environment parameters of the electrical equipment comprises the following steps:
summarizing the service environment parameters of the power equipment, classifying the service environment parameters of the summarized power equipment by adopting a cluster analysis method, and acquiring different types of service environment parameter clusters.
4. The method for deploying electric power equipment according to claim 3, wherein the step of obtaining the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter comprises the following steps:
classifying the target performance parameter clusters by adopting a cluster analysis method, and respectively analyzing the distribution rule of different types of target type parameter clusters;
respectively analyzing the distribution rule of the service environment parameter clusters of different types;
and acquiring the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster.
5. The method of claim 4, wherein the categories of the target type parameter clusters include insulation performance, current carrying performance, mechanical performance, sealing performance, gas components, and oil components.
6. The method for deploying electric power equipment based on equipment relative service environment sensitivity according to claim 4, wherein the step of obtaining the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster comprises the following steps:
and acquiring the variation of the target performance parameter corresponding to the unit variation of the service environment parameter according to the distribution rule of the target performance parameter cluster and the distribution rule of the service environment parameter cluster, and determining the sensitivity coefficient according to the variation of the target performance parameter.
7. The method for deploying electrical equipment based on the sensitivity of the equipment to the service environment of claim 4, wherein the step of selecting the adjusting equipment to be deployed on the electrical equipment according to the comparison result comprises the following steps:
if the sensitivity coefficient is larger than the sensitivity threshold, selecting first adjusting equipment to be configured on the power equipment; the adjusting parameters of the first adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients;
if the sensitivity coefficient is smaller than or equal to the sensitivity threshold, selecting second adjusting equipment to be configured on the power equipment; the adjustment parameter of the second adjustment device is related to the service environment parameter corresponding to the sensitivity coefficient, and the adjustment amplitude of the second adjustment device is smaller than that of the first adjustment device.
8. The method for deploying electrical equipment based on the sensitivity of the equipment to the service environment of claim 4, wherein the step of selecting the adjusting equipment to be deployed on the electrical equipment according to the comparison result comprises the following steps:
if the sensitivity coefficient is larger than the sensitivity threshold and the change rate of the service environment parameter corresponding to the sensitivity coefficient is larger than the change threshold, selecting first adjusting equipment to configure the first adjusting equipment on the power equipment; and the adjusting parameters of the first adjusting device are related to the service environment parameters corresponding to the sensitivity coefficients.
9. An electrical equipment deployment system based on equipment sensitivity to service environment, comprising:
the parameter acquisition unit is used for acquiring performance parameters of the power equipment and service environment parameters of the power equipment;
the sensitivity analysis unit is used for acquiring a sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter, wherein the sensitivity coefficient is used for reflecting the influence degree of the change of the service environment parameter on the performance parameter;
the comparison configuration unit is used for comparing the sensitivity coefficient with a sensitivity threshold value and selecting the adjusting equipment to be configured on the power equipment according to the comparison result, wherein the adjusting equipment is used for adjusting the service environment parameters of the power equipment;
obtaining the sensitivity coefficient of the performance parameter relative to the service environment parameter according to the performance parameter and the service environment parameter comprises: and obtaining the variation of the target performance parameter corresponding to the unit variation of the service environment parameter, and determining the sensitivity coefficient according to the variation of the target performance parameter.
10. A readable storage medium, on which an executable program is stored, which when executed by a processor implements the steps of the method for commissioning a power device based on the sensitivity of the device to the service environment as claimed in any one of claims 1 to 8.
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