KR101044744B1 - Operating ? Maintenance System and Method for Power Distribution System Facility Based on Reliability - Google Patents

Abstract

The present invention relates to a reliability-based distributor material maintenance system and method, and more particularly, to a reliability-based online distributor material maintenance system and method that is mounted and operated in a smart distribution management system. Distributor material maintenance method according to an embodiment of the present invention is to determine the abnormal symptoms by acquiring the status information of the distribution material from the distribution system functionalization system, if it is determined that the abnormal symptoms, analysis of the failure effect of the distribution material And determining a risk level, if there is history data of the distribution material in the new distribution information system, extracting the history data to perform a reliability analysis, and if the reliability analysis result does not satisfy the reliability criteria, It may include the step of presenting a maintenance method.

Distributor Materials

Description

Reliability-based Distributor Materials Maintenance System and Method {Operating & Maintenance System and Method for Power Distribution System Facility Based on Reliability}

The present invention relates to a reliability-based distributor material maintenance system and method, and more particularly, to a reliability-based online distributor material maintenance system and method that is mounted and operated in a smart distribution management system.

With the opening of domestic and overseas power markets and slowing demand growth, electric utilities are making great efforts to improve operational efficiency.

Among them, the economic investment planning of power facilities is very important for minimizing and efficiently performing the facility investment.

In addition, as the demand for high quality electric power by electric power consumers increases, the reliability of electric power facilities is more important than ever.

Until now, power facilities have been operated by the concept of time-based maintenance (TBM) and event-based maintenance (EBM) according to the frequency of failure.

Recently, efforts are being made to apply CBM (Condition Based Maintenance) considering the deterioration state of electric power facilities and reliability centered maintenance (RCM), a maintenance strategy based on reliability.

Meanwhile, the priority of maintenance or replacement of current distribution equipment is based on the results of on-site deterioration diagnosis, which is simply based on the period of use and the number of failures, and is not effectively linked to various data related to distribution equipment. As a result, the failure rate does not improve significantly while the reliability of investment plans is low and maintenance costs are high.

Reliability-based maintenance method is to determine the most efficient and economical maintenance technique in consideration of the importance and failure effect of the facility according to the characteristics of the facility and the operating environment.

Recently, in Korea, we have developed and applied an asset management system that can be maintained in consideration of environmental conditions in each region or to establish a maintenance plan by evaluating distribution system reliability, customer reliability, and system reliability. Due to the lack of real-time data update system, practical use is limited.

Various systems are in operation to efficiently maintain and replace distribution materials before failure occurs, but maintenance work is performed in a fragmentary and uniform manner due to the lack of data linkage between them.

The present invention has been made to solve the above problems, to provide a reliability-based distribution material maintenance system and method utilizing the equipment data of the new distribution information system, the failure data and the status information of the various devices transmitted to the distribution automation system. will be.

According to one aspect of the invention, a distributor material maintenance system is provided.

Distributor material maintenance system according to an embodiment of the present invention in the distributor material maintenance system,

Facility history data management module connected to the distribution automation system and a communication device to measure the deterioration state and operation state information of the distribution material, and to obtain the history data of each distribution material from the new distribution information system to perform detailed failure analysis, the A failure rate analysis module configured to calculate RAMS (Reliability, Availability, Maintenance, Security) analysis data and failure rate data using the detailed failure analysis information performed, and perform failure trend analysis using the calculated RAMS analysis data and the failure rate data; Analyzing the maintenance work using the calculated RCM information management module and the calculated RAMS analysis data to derive the reliability centered maintenance (RCM) management information required for the distribution system reliability evaluation using the calculated failure rate analysis result and the history data It may include an asset management module.

According to another aspect of the present invention, a distribution material maintenance method is provided.

Distributor material maintenance method according to an embodiment of the present invention is to determine the abnormal symptoms by acquiring the status information of the distribution material from the distribution system functionalization system, if it is determined that the abnormal symptoms, analysis of the failure effect of the distribution material And determining a risk level, if there is history data of the distribution material in the new distribution information system, extracting the history data to perform a reliability analysis, and if the reliability analysis result does not satisfy the reliability criteria, It may include the step of presenting a maintenance method.

According to the present invention, even in the same equipment, it is possible to reduce unnecessary maintenance costs without compromising system reliability by operating different maintenance strategies according to failure modes, failure severities, and manufacturers.

In addition, according to the present invention, the maintenance method and interval of the facility can be determined differently according to the situation according to the sensitivity calculated according to the failure according to the installation position of each equipment.

As the invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description. However, this is not intended to limit the present invention to specific embodiments, it should be understood to include all transformations, equivalents, and substitutes included in the spirit and scope of the present invention. In the following description of the present invention, if it is determined that the detailed description of the related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 to 3 is a view for explaining a distribution material maintenance system according to an embodiment of the present invention.

As shown in FIG. 1, the reliability-based distributor material maintenance system 100 may include at least one of status information (for example, voltage, current information, failure information, device failure information, and device diagnostic information) of various devices from distribution line information. Distributor materials in conjunction with a distribution automation system 200 that receives one piece of information) and a New Distribution Information System 300 that receives facility history data (eg, facility data and failure data) Perform analysis to establish a reliability performance-oriented maintenance strategy.

Also, referring to FIG. 2, the reliability-based distributor material maintenance system 100 performs power failure analysis module 110 and facility history data module 120 to perform an analysis for establishing a reliability performance-oriented maintenance strategy. , Failure rate analysis module 130, RCM information management module 140, economic analysis module 150, manufacturer-specific analysis module 160, route-specific reliability analysis module 170 and asset management analysis module 180 .

As shown in FIG. 3A, the power failure cause analysis module 110 acquires the power failure phenomenon and the power failure related data from the state diagnosis information of the distribution automation system 200, and analyzes the power failure cause to derive possible recovery methods.

As shown in FIG. 3B, the facility history data management module 120 is connected to the distribution automation system 200 through a communication device to measure deterioration state and operation state information of the distribution material.

In addition, the facility history data management module 120 acquires the historical data for each equipment from the new power distribution information system 200 together with the failure cause management information acquired from the power failure cause analysis module 110 and the distribution system drawing data to analyze the detailed failure. Construct a data flat to collect basic data for reliability and asset management.

Here, the historical data for each equipment includes at least one of operational history information such as installation information such as geographic information and operation period, data such as previous maintenance inspection, regular and irregular instantaneous inspection, or failure caused by initial equipment quality. do.

As illustrated in FIG. 3C, the failure rate analysis module 130 derives RAMS (Reliability, Availability, Maintenance, Security) analysis data using detailed failure analysis information that is the result information of the facility history data module 120. Here, the RAMS analysis will be apparent to those skilled in the art, and a detailed description thereof will be omitted.

In addition, the failure rate analysis module 130 calculates a failure rate through basic data such as a deterioration state, failure history data, and power failure of the device acquired together with the RAMS analysis data.

In addition, the failure rate analysis module 130 derives a failure occurrence cost by using the calculated failure rate and performs failure trend analysis based on analysis information of the RAMS.

RCM (reliability centered maintenance) information management module 140, as shown in Figure 3d, the distribution system reliability evaluation based on the failure rate analysis results and failure occurrence type information, the failure transition model according to the deterioration of the facility, along with the equipment history information Derived RCM management information necessary for Here, the RCM management information may be at least one of RCM characteristic management, reliability management, replacement cycle management data.

Here, the failure rate analysis module 130 and the RCM information management module 140 is for intermediate calculation of the results shown in the integrated reliability system.

The economic analysis module 150 calculates operation maintenance costs using RAMS information, replacement cycles, and maintenance as shown in FIG. 3E.

Afterwards, the economic analysis module 150 analyzes the cost analysis and the occasional repair cost of other replacement methods, and analyzes the RCM-based maintenance cost together with the replacement cycle prediction.

Manufacturer-specific analysis module 160, as shown in Figure 3f, analyzes the quality history data, such as quality inspection data of submissions released from the distribution equipment manufacturers, product defect history of the same manufacturer.

In addition, the manufacturer-specific analysis module 160 predicts an initial failure that may occur at the initial stage of installation through manufacturer's quality analysis to generate reliability ranking information for each manufacturer, which provides a criterion that the operator can apply to the installation and operation of the distributor material. And rank by manufacturer.

As shown in FIG. 3G, the reliability analysis module 170 for each route calculates the reliability of the route installation device and the system reliability by using the failure occurrence trend analysis data and the line information to analyze the reliability for each route based on the reliability analysis information. do.

As shown in FIG. 3H, the asset management analysis module 180 analyzes maintenance work by using failure trend analysis, facility life, and RAMS analysis data.

The above-mentioned economic analysis, asset management analysis, and reliability analysis result information for each route are used by the facility to manage facility operation data and failure management data of the distribution system through the new distribution information system 200, which is a system that manages all data related to the distribution system. Data is generated at the point of maintenance and maintenance history data is stored until dismantled.

This series of management information is generated through statistical analysis, except for the status diagnosis information through intelligent distribution materials, which utilizes the history history data to analyze the basic trends of the basic equipment by analyzing the failure trend analysis and the impact analysis for each failure factor using statistical techniques. Perform probabilistic figures.

As described above, the reliability-based distributor material maintenance system 100 is inputted from the intelligent distributor material and updates in real time the change information generated in the system such as device status information, NDIS database, and the like, the distributor material through a plurality of modules described above Saves maintenance history data

In addition, the reliability-based distributor material maintenance system 100 calculates reliability and sensitivity of each facility based on past failure data of each facility and installation location, operating conditions, and degradation diagnostic data acquired from the battery distribution system.

In addition, the reliability-based distributor material maintenance system 100 establishes an economical replacement cycle, operation cycle, and investment plan using calculated reliability and facility-specific sensitivity information for each facility.

In addition, the reliability-based distributor material maintenance system 100 determines whether maintenance of the distributor material is carried out changes in data related to the device and the line in real time and it is possible to manage and maintain the asset reflecting this.

4 is a view for explaining a reliability-based distributor material maintenance method according to an embodiment of the present invention.

Referring to FIG. 4, in S410, the reliability-based distributor material maintenance system 100 first acquires deterioration data from the distributor material in the distribution system activating system, and determines that the data is an abnormal symptom by comparing with the preset abnormality determination criteria.

In S420, if the reliability-based distribution material maintenance system 100 is determined as a result of abnormality, the function definition of the device, failure type analysis, failure effect analysis in the system, and classified according to the failure effect according to the analysis result. Analyze the cause to determine the risk on the system.

In S430, the reliability-based distributor material maintenance system 100 performs reliability analysis by extracting historical data when data such as past history data and environmental conditions related to the corresponding device exist in the new distribution information system 300. If there is no error, deterioration analysis of the device is performed using the deterioration data detected from the intelligent distributor materials.

The reliability-based distributor material maintenance system 100 analyzes the presence or absence of multiple failure modes among the results of failure type analysis, if there is historical data of the corresponding device, and calculates a failure rate by classifying multiple or single failure modes.

In S440, the reliability-based distributor material maintenance system 100 calculates the average lifespan of the corresponding device using the finally calculated failure rate and the deterioration data detected, and then uses it for risk ranking based on the calculated average lifespan. Evaluate system reliability. The evaluated system reliability is used for economic analysis by evaluating outage cost for cost analysis.

The reliability-based distributor material maintenance system 100 has a built-in maintenance method applicable to all devices, and proposes a maintenance method that can be improved when the reliability criteria are not satisfied. In particular, if the reliability criteria are very poor and prompt action is required, a method for automatic separation of the equipment from the track and maintenance can be suggested. Here, the maintenance method may be stored in the reliability-based distributor material maintenance system 100 or input by an operator according to the failure type analysis of the corresponding device.

In S450, the reliability-based distributor material maintenance system 100 uses the risk ranking result calculated in step S420, based on the risks caused by the failure of the equipment in the system. The failure transition model is determined by determining the target group and analyzing the failure process of the equipment.

The reliability-based distributor material maintenance system 100 derives the cost according to each transition degree in the model determined by varying the failure mode transitioned according to the degree of failure and deterioration in the model thus determined, and each dynamic model during the virtual operation period. The analysis estimates the maintenance period for which the minimum cost is derived.

The reliability-based distributor material maintenance system 100 calculates the economic cost of the repair work to which the minimum cost can be applied in consideration of the cost of the work candidate group applied to the corresponding equipment in the determined period.

The reliability-based distributor material maintenance system 100 determines the maintenance result by comparing the results obtained in this way with the corresponding equipment and line reliability criteria pre-stored in the battery distribution system.

On the other hand, after maintaining the equipment or track in the proposed method, the maintenance history is updated in the new distribution information system 300, and the history data, status information, etc. of the equipment are updated, and the reliability data is again performed with the updated data. Check the maintenance effect.

An embodiment of the present invention may include a computer readable medium including program instructions for performing various computer-implemented operations. The computer readable medium may include a program command, a local data file, a local data structure, etc. alone or in combination. The media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts.

Although the above has been described with reference to a preferred embodiment of the present invention, those skilled in the art to which the present invention pertains without departing from the spirit and scope of the present invention as set forth in the claims below It will be appreciated that modifications and variations can be made.

1 to 3 is a view for explaining a distribution material maintenance system according to an embodiment of the present invention.

4 is a view for explaining a reliability-based distributor material maintenance method according to an embodiment of the present invention.

Claims (11)

In the distributor material maintenance system, A facility history data management module connected to the distribution automation system and a communication device to measure deterioration state and operation state information of the distribution material, obtain history data of each distribution material from the new distribution information system, and perform detailed failure analysis; A failure rate analysis module for calculating RAMS (Reliability, Availability, Maintenance, Security) analysis data and failure rate data using the detailed failure analysis information performed and performing failure trend analysis using the calculated RAMS analysis data and the failure rate data. ; An RCM information management module for deriving reliability centered maintenance (RCM) management information necessary for evaluating distribution system reliability using the calculated failure rate data analysis result and the history data; An asset management module for analyzing a maintenance work using the calculated RAMS analysis data; And Distributor materials maintenance system including an economic analysis module for calculating the operation maintenance cost of the distribution equipment, analyzing the cost analysis of other replacement methods and the occasional repair cost, and analyzing the RCM-based maintenance cost along with the replacement cycle prediction. delete The method of claim 1, Distributor material maintenance system further includes a reliability analysis module for each route that analyzes the reliability of each route using failure trend analysis data and line information. The method of claim 1, Distributor material maintenance system further comprising a manufacturer-specific analysis module for generating reliability ranking information for each manufacturer to provide a criterion that can be applied to the installation and operation of the distributor material through the manufacturer-specific quality analysis of the distributor material. The method of claim 1, The RCM management information is at least one of RCM characteristic management, reliability management and replacement cycle management data. delete delete delete delete delete delete

Images