Life-cycle cost model and evaluation system for power grid assets based on fuzzy membership degree

Abstract

Life-cycle cost (LCC) theory can be effectively applied to improve the efficiency and quality of power plant equipment and asset management. However, specific aspects of the LCC calculation and evaluation model require further research for practical application. This paper proposes an LCC assessment model for the management of electric power plant equipment during its service life. A membership function method based on fuzzy logic is used to improve the allocation of modernization and overhaul projects to multiple equipment assets. An LCC assessment model and evaluation system for power equipment are proposed and successfully applied to the equipment and project management of a Guangzhou power plant in the China Southern Power Grid, providing a decision-making mechanism that facilitates efficient operation and optimal utilization of power plant equipment and assets.