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On-line identification of simplified dynamic models: Simulations and experimental tests on the Capstone C30 microturbine

  • Published:2018-04 Issue: Volume:157 Page:145-156
  • ISSN:0378-7796
  • Container-title:Electric Power Systems Research
  • language:en
  • Short-container-title:Electric Power Systems Research

Author:

Cagnano A.,De Tuglie E.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference48 articles.

1. Performance characteristics and modelling of a micro gas turbine for their integration with thermally activated cooling technologies;Vidal;Int. J. Energy Res.,2007

2. A micro-turbine model for system studies incorporating validated thermodynamic data;Kish,2011

3. Nonlinear identification of aircraft gas-turbine dynamics;Ruano;Neurocomputing,2003

4. A mathematical model for the dynamic simulation of low size cogeneration gas turbines within smart microgrids;Bracco;Energy,2017

5. Dynamic models for micro-turbines and fuel cells;Lasseter,2001

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1. Recent development of heat and power generation using renewable fuels: A comprehensive review;Renewable and Sustainable Energy Reviews;2022-09

2. Identification of a low order dynamic model of electrolysers for microgrids;2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2022-06-28

3. Online Identification of Simplified CHP Models;IEEE Transactions on Industry Applications;2021-05

4. An overview of grid-edge control with the digital transformation;Electrical Engineering;2021-02-03

5. Review of the current state of research of microturbine units;IOP Conference Series: Materials Science and Engineering;2020-12-01
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