Published June 1, 2019 | Version v1
Journal article

Maintenance Scheduling of Power Equipment Considering Opportunistic Maintenance Strategy

  • 1. State Grid Energy Research Institute Co., Ltd., Beijing (China)
  • 2. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, Shandong Province (China)
  • 3. State Grid Shandong Electric Power Research Institute, Jinan 250003, Shandong Province (China)

Description

This paper investigates the impact of opportunistic maintenance strategy on power equipment maintenance scheduling under economic dependence. The model focuses on power equipment with two types of failures: random failure and deterioration failure. Unlike previous research which didn't consider opportunistic maintenance between different failures modes, opportunistic maintenance strategy is proposed in this paper. In the opportunistic maintenance strategy, whenever random failure occurs, decision has to be made on whether deterioration failure is preventively maintained based on the degree of equipment deterioration and economic dependence. Firstly, Markov process is used to describe equipment state-space diagram. And then, in order to determine the optimal inspection rate, preventive maintenance threshold and opportunistic maintenance threshold of power equipment, the analytical expressions of inspection cost, maintenance cost, repair cost and outage cost are quantified. Finally, the total cost is minimized to get the optimal maintenance strategy. Case studies demonstrate the feasibility of the proposed model. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/486/1/012092

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
486
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1757-899X

Conference

Title
4. Asia Conference on Power and Electrical Engineering
Acronym
ACPEE 2019
Dates
28-31 Mar 2019
Place
Hangzhou (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52112902
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
MAINTENANCE; MARKOV PROCESS; OUTAGES; REPAIR
Descriptors DEC
STOCHASTIC PROCESSES