Study On The Grid Asset Management Based On The Life Cycle Cost Theory

Electricity is related to the national economic and social development lifeline strategic energy. In recent years, State constantly increase the investment to the power grid. Grid construction is in high speed development stage. Power equipment assets occupy a considerable proportion of the huge power project investment. At the meanwhile, lots of early put power transmission and transformation equipments ageing, reliability have been dropping every year, maintenance frequent and maintain cost increasing, technical reform extensively. So in the process of asset management, starting from the system target, overall consideration the process of the power grid construction's planning and design, procurement construction, overhaul and scrap. Under the premise of safety and efficiency, pursue equipment lifecycle lowest cost, to achieve optimum system is a worth researching project. And will have far-reaching influence to the value of the state-owned assets.This paper aiming at the defect that traditional grid asset management only paying attention to one-time investment spending and consider insufficient of the future maintenance and scrap costs.This paper based on the life cycle cost management theory, combined with the characteristics of grid asset management, put forward the grid of asset management based on the life cycle cost theory. The life cycle cost of the grid equipment is divided into investment cost, operation cost, maintenance cost, fault cost and retired scrap costs five sections. Model is built to quantification each part cost of the five sections. In investment cost model, the rapid increasing of the land brings greater financial pressure to the grid construction. The land cost in this paper not only including disposable land expropriation cost, but also included land value-added cost. In maintenance cost model, considering the uncertainty of the fault, applying the reliability knowledge and probability statistics knowledge, using weibull distribution to simulate equipment's life distribution, using Maximum likelihood estimation method which is improved to estimated the model's parameters. In fault cost model, method according to GDP estimates is improved,.Increase weight coefficient to distinguish different power function area. Overcomes the shortcomings of the original method not good distinguish different electricity functional areas. Finally an application example is given.