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MODELING AND MODEL PREDICTIVE CONTROL OF A MICROTURBINE GENERATION SYSTEM FOR STAND-ALONE OPERATION

Year 2019, Volume: 37 Issue: 3, 705 - 722, 01.09.2020

Abstract

Among a variety of Distributed Generations (DGs), microturbine (MT) generation (MTG) systems are known as highly reliable and efficient sources. The main application of MT include peak shaving, emergency power and remote power in supplying industrial and domestic loads. The MT should support demands in any conditions, which requires its proper control. Therefore, system accuracy and flexible management is crucial issue.Today, Model Predictive Control (MPC) is one of the effective methods for controlling different types of converters. Use of MPC in MTG leads to higher adaptability, outputs precise adjustment and suitable power flow. In this paper, the MPC method is applied to control MTG's inverter irrespective of load type. Moreover, active rectifier is used for proper DC-link voltage regulation. The simulation results indicate MPC appropriate performance to control high-frequency MT in stand-alone mode for various scenarios. In other words, proposed system can operate with constant, variable, non-linear and unbalance loads and output three-phase voltages are not affected by these factors.

References

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There are 24 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Pouyan Asgharıan This is me 0000-0003-2993-8409

Reza Noroozıan This is me 0000-0001-8085-3860

Publication Date September 1, 2020
Submission Date September 18, 2018
Published in Issue Year 2019 Volume: 37 Issue: 3

Cite

Vancouver Asgharıan P, Noroozıan R. MODELING AND MODEL PREDICTIVE CONTROL OF A MICROTURBINE GENERATION SYSTEM FOR STAND-ALONE OPERATION. SIGMA. 2020;37(3):705-22.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/