A Study of Maintenance Planning in a Power System using Fuzzy Logic

The inspection planning in electric power industry is used to assess the safety and reliability of system components and increase the ability of failure situation identification before it actually occurs. It reflect the implications of the available information on the operational and maintenance history of the system. The output ia s ranked list of components, with the most critical ones at the top, which indicates the selection of the components to be inspected. In this paper, we demonstrate the use of a fuzzy relational database model for manipulating the data required for the critically component ranking in thermal power systems inspection planning, incorporating criteria concerning aspects of safety and reliability, economy, variable operational conditions and environmental impacts. Often, qualitative thresholds and linguistic terms are used for the component critically analysis. Fuzzy linguistic terms for criteria definitions along with fuzzy inference mechanisms allow the exploitation of the operator’s expertise.