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

Authors: Sudhir Kumar; P.C. Tewari

Addresses: Department of Production and Industrial Engineering (Mechanical Engineering), National Institute of Technology, Kurukshetra, Haryana, India ' Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, Haryana, India

Abstract: 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.

Keywords: Petri nets; performance modelling; availability assessment; decision support system; feed water system.

DOI: 10.1504/IJSPM.2023.134511

International Journal of Simulation and Process Modelling, 2023 Vol.20 No.1, pp.1 - 9

Received: 22 Sep 2022
Accepted: 07 Dec 2022
Published online: 26 Oct 2023 *