Performance optimisation of the feed water system of thermal power plant using stochastic Petri nets with comparative analysis using PSO

被引:2
作者
Kumar S. [1 ]
Tewari P.C. [2 ]
机构
[1] Department of Production and Industrial Engineering (Mechanical Engineering), National Institute of Technology, Haryana, Kurukshetra
[2] Department of Mechanical Engineering, National Institute of Technology, Haryana, Kurukshetra
关键词
availability assessment; decision support system; feed water system; performance modelling; Petri nets;
D O I
10.1504/IJSPM.2023.134511
中图分类号
学科分类号
摘要
This study applies the stochastic Petri nets method for the performance evaluation of the feed water system of thermal power plants. The availability analysis of subsystems has been used to determine the maintenance priorities. Further the particle swarm optimisation technique has been applied for the comparative analysis and optimised results. A licensed software package has been used to examine the effects of different failure and repair rates, as well as the availability of repair facilities, on the performance behaviour and availability of the system. An algorithm has been applied in MATLAB software for optimisation using particle swarm optimisation. On the basis of the availability matrices obtained by Petri nets, a decision support system for maintenance order priority has been proposed. The proposed maintenance order will help the maintenance personnel to identify the criticality among various subsystems and to plan the maintenance policies and schedule in advance. © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码:1 / 9
页数:8
相关论文
共 18 条
  • [1] Behera S.K., Dash A.P., Performance analysis of coal fired power plants in India, Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management, (2010)
  • [2] Cozac E., Gura D., Bityutskiy A., Kiselev S., Repeva A., Dynamic optimisation of elevators using biometric identification systems, International Journal of Simulation and Process Modelling, 18, 1, pp. 1-10, (2022)
  • [3] Dahiya O., Kumar A., Saini M., Mathematical modeling and performance evaluation of A-pan crystallization system in a sugar industry, SN Applied Sciences, 1, (2019)
  • [4] Garg H., Rani M., An approach for reliability analysis of industrial systems using PSO and IFS technique, ISA Transactions, 52, 6, pp. 701-710, (2013)
  • [5] Gupta N., Saini M., Kumar A., Operational availability analysis of generators in steam turbine power plants, SN Appl. Sci, 2, (2020)
  • [6] Gupta S., Tewari P.C., Simulation modeling and analysis of complex system of thermal power plant, Journal of Industrial Engineering and Management, 2, 2, pp. 387-406, (2009)
  • [7] Kumar A., Modgil V., Performance optimization for ethanol manufacturing system of distillery plant using particle swarm optimization algorithm, Int. J. Intelligent Enterprise, 5, 4, pp. 345-364, (2018)
  • [8] Kumar J., Bansal S.A., Mehta M., Singh H., Reliability Analysis in Process Industries - An Overview, (2020)
  • [9] Kumar N., Tewari P.C., Sachdeva A., Stochastic modelling and availability analysis of repairable system of a milk processing plant, International Journal of Simulation and Process Modelling, 16, 4, pp. 323-332, (2021)
  • [10] Kumar S., Tewari P.C., Performability analysis of multistate ash handling system of thermal power plant with hot redundancy using stochastic Petri nets, Reliability: Theory and Applications, 17, 3, (2022)