Open AccessOptimal Reduced Order Model of Single- Shaft Heavy Duty Gas Turbine Power Plants
Author(s) -
Melur K. Ramasubramanian,
M. Thirumarimurugan,
P. Ananthi
Publication year - 2020
Publication title -
international journal of innovative science and research technology
Language(s) - English
Resource type - Journals
ISSN - 2456-2165
DOI - 10.38124/ijisrt20sep516
Subject(s) - particle swarm optimization , control theory (sociology) , model order reduction , transient (computer programming) , heavy duty , step response , matlab , transient response , padé approximant , reduction (mathematics) , controller (irrigation) , turbine , power (physics) , engineering , computer science , control engineering , mathematical optimization , automotive engineering , mathematics , mechanical engineering , algorithm , projection (relational algebra) , artificial intelligence , biology , operating system , geometry , control (management) , quantum mechanics , agronomy , physics , electrical engineering
Design of controller and analyzing the response of higher order system in real time environment would be very complex and expensive. Therefore, an attempt has been made in this paper to obtain the reduced order model of single-shaft Heavy duty gas turbine plants ranging from 18.2 to 106.7 MW by using various model order reduction techniques. The step response of Heavy duty gas turbine model using the reduced order models are compared with that of the original MATLAB/ Simulink model. Various time domain specifications and performance index criteria have been considered for analyzing the responses. The simulation results show that the response obtained by Routh approximation-Pade approximation technique based reduced order model mimics the original, higher order Heavy Duty gas turbine response. It is also proposed in this paper to improve the response by optimizing the co-efficients of reduced order model using Particle Swarm Optimization technique. On comparing the simulation results, Particle Swarm Optimization technique based reduced order model yield better transient and steady state response as close to original higher order system and hence it is identified as an optimal reduced order model for all Heavy Duty gas turbine plants in grid connected operation