Maintenance Optimization for Power Equipment Based on Markov Process
|Course||Proceedings of the|
|Keywords||Asset Management Reliability analysis markov process statediagram probabilistic model Maintenance optimization|
With the expansion of the scale of power grid, the number of power transmission and transformation equipment increases sharply, the traditional idea and behavior focused on only assets equipment performance and ignoring the asset value which leads to low efficiency of equipment management and serious waste of resources has not been able to meet the demand of the development of power grid. Therefore, it’s very necessary to drive the innovation and development of China’s power grid asset management by new ideas and new technologies.Learning from advanced experience of asset management in foreign power grids, conducting the life cycle management of assets, maintenance of life-cycle for equipment and maintenance strategy optimization can reduce life-cycle costs, solve the insufficient of the grid management, Improve the reliability and economy of equipment, and then Improve enterprise management level, production efficiency and economic benefit.The proposal of total life cycle management for the asset asserts that we should take account of adequate history data of the devices to describe the aging process in the probabilistic model of the random process.This paper is based on the theory of Markov process in the analysis of power equipments reliability and the way of building the state transition matrix and the method of calculating reliability indexes like the system state probability, the state frequency and the duration time of state are elaborated on the basis of the deep analysis of its definition and properties. On that basis,this paper proves the applicability of markov process in Equipment aging model, and proposes a quantitative method for reliability analysis.Based on the theories above, the establishing method of reliability evaluation model is proposed. In the analysis of the devices’ aging process, the aging process is devided into serveral stages according to the actual conditions with the assitance of the state diagrams model, and the feasible model of probability of aging can be established. The conventional status-figure model neglects the limitations in the status detects and non-periodic monitorings, which is not very suitable in the actual analysis of reliability. Basing on these considerations above, this dissertation proposes an improved state diagrams model, which analyzed and compared the differences between the calculated results in the new model and non-periodic monitorings, proving the accuracy of the new model in non-periodic monitoring through the actual overhaul conditions.The core of the asset management is to promote the reliability and the economical values. Thus, different maintenance modes are requested in different conditions, which is opted by the optimization of the maintenance strategy for the aging process. This dissertation established the aging process model for electric power equipments based on semi-markov decision processes, taking account of the detection state’s impacts on the maintenance strategy. Moreover, the reliability is analysed, and the strategy iteration is applied in different maintenance strategies taking the reliability and economic values into consideration. Consquently, the optimized maintenance strategies are determined, which could cut down the cost throughout the life circle.Finally, based on the project of the life cycle management of power equipments of.lining Power Supply Company, Promoting the practical application of engineering achieves a good result, which provides basic conditions of deep research in this field.