Publication Type:

Conference Paper

Source:

2016 - Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy, PESTSE 2016, Institute of Electrical and Electronics Engineers Inc. (2016)

ISBN:

9781467366595

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983393188&partnerID=40&md5=c2df283189938b5880afd9a40d9e0c67

Keywords:

Controllers, Electric control equipment, Electric frequency control, Electric load management, Fuzzy gain scheduling, Gas plants, Gas turbine modeling, Gas turbine plants, Gas turbine power plants, Gas turbines, Gases, Genetic algorithms, Heterojunction bipolar transistors, Load-frequency control, PI Controller, Press load control, Renewable energies, Scheduling, small signal model, Small-signal modelling

Abstract:

Renewable energy and its conversion to electrical power is the present theme for many research problems. Bio mab shows lot of promise as a renewable source. Gas turbine plants fuelled by bio mab is one among many alternatives available to generate electrical power. Large signal mathematical models are used by researchers to analyse and simulate the operation of gas turbine plants in solitude. Gas turbine plants when operated with other conventional plants like thermal and hydro demands a small signal model for load frequency analysis and control. A suitable secondary PI controller for the model is developed and tuned using Ziegler Nichols' (ZN) method, Genetic Algorithm (GA) and Fuzzy Gain Scheduling (FGS). © 2016 IEEE.

Notes:

cited By 0; Conference of 2nd Biennial International Conference on Power and Energy Systems, PESTSE 2016 ; Conference Date: 21 January 2016 Through 23 January 2016; Conference Code:122805

Cite this Research Publication

S. Sa Kumar, Xavier, R. Jb, and Balamurugan, Sa, “Small signal modelling of gas turbine plant for load frequency control”, in 2016 - Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy, PESTSE 2016, 2016.