Optimization of Fuel Consumption in Micro-Turbines

Abstract Distributed generation (DG), and especially microturbine generation (MTG) system, plays a significant role in Smart Grids. One of the most important variables of a MTG system is the fuel consumption. This paper defines a problem on fuel consumption of MTs for a sample load change that can be used for a 24-hour load change pattern. The aim is to optimize the speed governer parameters in order to minimize the fuel consumption of MTG. Differential Evolutionary Algorithm (DEA) is employed to solve the problem. The stability issue of the MTG system is also discussed in the paper. The simulation results show the effectiveness of a fine-tuned speed governer by using the proposed method.

[1]  Robert H. Lasseter.  Dynamic models for micro-turbines and fuel cells , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[2]  Zhang Jianhua,et al.  Dynamic modelling and simulation of microturbine generation system for the parallel operation of microgrid , 2009, 2009 International Conference on Sustainable Power Generation and Supply.

[3]  M.H. Nehrir,et al.  A Simulink-based microturbine model for distributed generation studies , 2005, Proceedings of the 37th Annual North American Power Symposium, 2005..

[4]  Shin-Yeu Lin,et al.  Distributed Optimal Power Flow With Discrete Control Variables of Large Distributed Power Systems , 2008, IEEE Transactions on Power Systems.

[5]  Peng Xu,et al.  Topologies and design considerations for distributed power system applications , 2001, Proc. IEEE.

[6]  A. Feliachi,et al.  Dynamic and transient analysis of power distribution systems with fuel Cells-part II: control and stability enhancement , 2004, IEEE Transactions on Energy Conversion.

[7]  Shyh-Jier Huang,et al.  Design and Operation of Power Converter for Microturbine Powered Distributed Generator with Capacity Expansion Capability , 2008, IEEE Transactions on Energy Conversion.

[8]  Thai-Hoang Huynh,et al.  A modified shuffled frog leaping algorithm for optimal tuning of multivariable PID controllers , 2008, 2008 IEEE International Conference on Industrial Technology.

[9]  M. Daneshdoost,et al.  A Simplified Dynamic Model of Grid-Connected Fuel-Cell Generators , 2001, IEEE Power Engineering Review.

[10]  Akshay Kumar Saha,et al.  Microturbine based distributed generator in smart grid application , 2008 .

[11]  L. F. Casey,et al.  A high-frequency, low volume, point-of-load power supply for distributed power systems , 1988 .

[12]  O. Demirci,et al.  A novel power conversion system for distributed energy resources , 2006, 2006 IEEE Power Engineering Society General Meeting.

[13]  Donald E. Grierson,et al.  Comparison among five evolutionary-based optimization algorithms , 2005, Adv. Eng. Informatics.

[14]  Xunwei Yu,et al.  Dynamic modeling and control design of microturbine distributed generation systems , 2009, 2009 IEEE International Electric Machines and Drives Conference.

[15]  G.N. Pillai,et al.  Dynamic Model of Microturbine Generation System for Grid Connected/Islanding Operation , 2006, 2006 IEEE International Conference on Industrial Technology.

[16]  M. C. Williams.  Fuel cells and the world energy future , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[17]  S. Luo,et al.  A review of distributed power systems part I: DC distributed power system , 2005, IEEE Aerospace and Electronic Systems Magazine.

[18]  A. Feliachi,et al.  Dynamic model of a microturbine used as a distributed generator , 2002, Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory (Cat. No.02EX540).

[19]  I. Batarseh,et al.  A review of distributed power systems. Part II. High frequency AC distributed power systems , 2006, IEEE Aerospace and Electronic Systems Magazine.