METHOD FOR ASSET MANAGEMENT OF ELECTRIC POWER EQUIPMENT

• US 20200134516A1
• Filed: 04/26/2018
• Published: 04/30/2020
• Est. Priority Date: 04/28/2017
• Status: Active Application

• Current Assignee: Hyosung Heavy Industries Corporation
• Original Assignee: Hyosung Heavy Industries Corporation
• Inventors: LYU, Eun Tae, JUNG, Jae Ryong, SEO, Hwang Dong
• Application Number:
  US16/608,112
• Publication Number:
  US 20200134516A1
• Time in Patent Office: Days
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

A method for asset management of power equipment compensates a reference reliability model by each sub-device of the power equipment and generate a unique reliability model by the each sub-device by comparing reliability of the reference reliability model by the each sub-device and the health index by the each sub-device; assesses priorities based on equipment sensitivity and establishes a maintenance strategy while analyzing reliability by substation system reliability and reliability by economic value; calculates reliability of the power equipment by applying a system relationship model between the power equipment and the each sub-device to which specific weight and failure rate are reflected; selects a maintenance scenario by a predetermined priority; and updates the reliability model for the power equipment and the unique reliability model by the each sub-device as a result of executing maintenance.

Claims

1. A method for asset management of power equipment, comprising steps of:

generating health index of each sub-device of the power equipment by using state data and real-time monitoring data of the each sub-device;

compensating a reference reliability model by the each sub-device and generating a unique reliability model by the each sub-device by comparing reliability of the reference reliability model by the each sub-device and the health index by the each sub-device;

analyzing reliability by substation system reliability and reliability by economic value;

assessing priorities based on equipment sensitivity and establishing a maintenance strategy;

calculating reliability of the power equipment by applying a system relationship model between the power equipment and the each sub-device to which specific weight and failure rate are reflected;

deriving, and calculating a quotation of, a maintenance scenario by the each sub-device; and

updating the reliability model for the power equipment while updating the unique reliability model by the each sub-device by selecting a maintenance scenario by a predetermined priority and as a result of executing the maintenance.

2. The method of claim 1, wherein the step of assessing priorities based on equipment sensitivity and establishing a maintenance strategy includes steps of:

calculating technical sensitivity and economic sensitivity and assessing sensitivity by equipment that assesses priorities based on the calculation;

establishing a maintenance strategy for deriving an optimal maintenance strategy among various maintenance strategies;

confirming whether to execute maintenance and estimating a maintenance effect of calculating improvement rate according to the result of executing the maintenance; and

assessing a point in time of failing to reach reliability to draw a point in time when next maintenance is required due to failing to meet a reliability standard.

3. The method of claim 2, wherein the technical sensitivity includes sensitivity of system failure rate and sensitivity of energy not supplied or ENS;

wherein the sensitivity of the system failure rate means sensitivity obtained by dividing difference between failure rate of a system and failure rate of the system when failure rate of one load is changed by the maximum difference therebetween; and

wherein the sensitivity of the ENS means the sensitivity obtained by dividing difference between ENS of a system and ENS of the system when unavailability rate of one load is changed by the maximum difference therebetween.

4. The method of claim 2, wherein the economic sensitivity means the sensitivity obtained by dividing difference between CIC of a system and CIS of the system when failure rate of one load is changed by the maximum difference therebetween.

5. The method of claim 2, wherein the priorities are determined by reflecting an improvement effect to the input cost when the maintenance action has been taken based on the technical sensitivity and the economic sensitivity.

6. The method of claim 2, wherein the step of establishing a maintenance strategy is calculating system reliability index and a maintenance cost by each maintenance case by each of all elements of a substation, determining whether to meet constraints by the each maintenance case, deriving the each maintenance case satisfying the constraint, thereby establishing a strategy.

7. The method of claim 2, wherein the step of assessing a point in time of failing to reach reliability is drawing a point in time when next maintenance is required by calculating the assessed reliability index of the substation based on a unique reliability model by the each sub-device and a future point in time that fails to satisfy a reliability threshold.

8. The method of claim 1, wherein the reference reliability model by the each sub-device is generated based on at least one of data on installation and inspection history by the sub-device, analysis of obsolete and removed items, and accelerated life test.

9. The method of claim 1, wherein the step of generating health index of each sub-device of the power equipment by using state data and real-time monitoring data of the each sub-device includes a step of generating health index by the each sub-device by using online, offline, and remote monitoring state data by the each sub-device;

wherein the offline monitoring state data includes at least one of data on installation history, inspection history, failure history, operating environment, and operation history by the each sub-device.

10. The method of claim 1, wherein the step of generating health index of each sub-device of the power equipment by using state data and real-time monitoring data of the each sub-device includes a step of generating total score of, and actions against, technical risks depending on an operating environment, insulation deterioration, an electrical risk, a thermal risk, a chemical risk and a mechanical risk, airtightness performance, insulation performance, interrupting performance, and current-carrying performance by the each sub-device.

11. The method of claim 1, wherein the step of compensating a reference reliability model by the each sub-device and generating a unique reliability model by the each sub-device by comparing reliability of the reference reliability model by the each sub-device and the health index by the each sub-device includes a step of compensating the reference reliability model by the each sub-device and calculating the reliability by applying the health index by the each sub-device.

12. The method of claim 1, wherein the step of calculating reliability of the power equipment by applying a system relationship model between the power equipment and the each sub-device to which specific weight and failure rate are reflected includes a step of calculating failure rate of the power equipment by applying the specific weight and the specific failure rate to the each sub-device.

13. The method of claim 1, wherein the step of deriving, and calculating a quotation of, a maintenance scenario by the each sub-device includes a step of deriving, and calculating a quotation of, a maintenance scenario by sub-device, including a maintenance strategy method, costs, and priority by the each sub-device, inspection cycles, estimated costs, inspection scheduling, and assumed maintenance effects thereby, and expected replacement time thereby, depending on an output value for assessing reliability, that for technical assessment, and that for economic feasibility by the maintenance scenario.

14. The method of claim 1, wherein the step of selecting a maintenance scenario by the predetermined priority is using priorities assessed by reflecting an improvement effect to the input cost based on the technical sensitivity and the economic sensitivity.

15. The method of claim 1, wherein the step of selecting a maintenance scenario by the predetermined priority is selecting a maintenance scenario by the each sub-device under which the reliability of the power equipment exceeds a specific reliability.

16. The method of claim 1, wherein the step of selecting a maintenance scenario by the predetermined priority is selecting a maintenance scenario by the each sub-device of the power equipment to make the whole maintenance cost less than specified amount.

17. The method of claim 1, wherein the constraint includes at least one of conditions related to the system reliability index or the maintenance cost.