Maintenance Optimization of Generating Equipment Based on a Condition-based Maintenance Policy for Multi-unit Systems
In a competitive market environment, privatized generating companies are pressured to more efficiently maintain their generating equipment in order to maximize their profit. As a result, condition-based maintenance is becoming popular and highlighted by researchers and practitioners in power plants due to its advantages of improving maintenance efficiency and avoiding unnecessary maintenance. A new condition-based and opportunistic maintenance policy is proposed for multi-unit systems (e. g. a generating unit) in this paper. Under this maintenance policy, the deterioration processes of equipment are discrete and modeled using continuous-time Markov chains, and maintenance decisions are given based on deterioration states of equipment. With the application of the proposed policy, the maintenance activities of generating equipment can be optimized for maximizing the profit of a generating company over a finite time span, considering the variations of prices and sold/bought volume of coals, electricity, and heat in the future. The Monte Carlo simulation model of the maintenance policy is also given in detail. By a numerical example, the application of the proposed maintenance policy to the optimization of condition-based maintenance in a thermal power plant is illustrated.
Deregulation Condition-based Maintenance Maintenance Optimization of Generating Equipment Continuoustime Markov Chains Monte Carlo Simulation
Ling Wang Enhui Zheng Yuntang Li Binrui Wang Jinjin Wu
School of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, 310018, P. R. C Department of Safety Defense, Zhejiang Police Vocational Academy, Hangzhou, 310018, P. R. China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2440-2445
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）