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Publication Title | Applying Genetic Algorithm to Adjustment PID Coefficients in Order to Power Control of Micro-Turbine in Island Condition

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Research Journal of Information Technology 4(1): 13-17, 2012

ISSN: 2041-3114

© Maxwell Scientific Organization, 2012

Submitted: December 10, 2011 Accepted: January 08, 2012 Published: March 10, 2012

Applying Genetic Algorithm to Adjustment PID Coefficients in Order to Power Control of Micro-Turbine in Island Condition

Noradin Ghadimi, Rasoul Ghadimi and Akbar Danandeh

Department of Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

Abstract: The ever increasing energy demand, along with the necessity of cost reduction and higher reliability requirements, are driving the modern power systems towards Distributed Generation (DG) as an alternative to the expansion of the current energy distribution systems. This paper is aimed to introduce the new controller in order to control of output power of one of the most important types of distributed generation namely micro- turbine, during system load variations. Micro-turbine output power should be control against the load variations in island mode condition and a controller should be designed for this purpose. Here, the PID Controller is used which its coefficients are optimized based on Genetic Algorithm. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller.

Key words: Controller design, distributed generation, genetic algorithm, micro-turbine, optimization

INTRODUCTION

Power generation has seen an increased penetration of Distributed Generation (DG) in recent times. Distributed generation systems, powered by microsources, such as fuel cells, photovoltaic cells, and microturbines, have been gaining popularity due to their higher operating efficiencies, improved reliabilities, and lower emissions. A part of the distribution system with its sources and loads can form an isolated electric power system-a microgrid (Daniel Salomonsson and et al., 2009). During normal operating conditions, the microgrid is connected to the ac grid at the Point of Common Coupling (PCC). Although full benefits of high depth of penetration of DG units are gained if a microgrid or a smart grid can be operated in both grid-connected and islanded (autonomous) modes. The current utility practice and the existing standards do not permit such islanded operations. The main reason is the safety concerns associated with that portion of the utility grid that remains energized as a part of the island. However, there are provisions to permit islanded operation of a DG unit and its dedicated load, if the island does not include any portion of the utility grid. In this context, the DG unit operates analogous to an Uninterruptible Power Supply (UPS) for the load (Houshang Karimi and et al., 2008).

Until now, only few works were undertaken on the modeling, simulation and control of micro turbines in island mode. There is also a lack of adequate information on their performances. A dynamic model for combustion

gas turbine has been discussed in (Rowen, 1983; Hannet and Afzal 1993; Working Group, 1994; Hannett et al., 1995).

In (Daniel Salomonsson and et al., 2009), in order to feed to vector controlled induction motor drive and other static loads, micro turbine based Distributed generation system is implemented. The Micro turbine provides input mechanical energy for the generator system. Aspects of dynamic modeling and simulation of fuel cell and micro- turbine units as a part of a multi-machine electrical network investigated in (Ahmed and István Erlich, 2003).

Lecture (Guda et al., 2005) demonstrated the development of a micro turbine model and its operation with a permanent magnet synchronous generator. A non- linear model of the micro-turbine is considered and implemented in NETOMAC software (Nikkhajoei and Iravani, 2002).

In Suter (2001), proposed an active filter for MT. Adaptive control of fuel cell and MT is well described in (Jurado and Saenz, 2003). Authors, Gaonkar and Patel (2006) demonstrated the development of a MT model from the dynamics of each part which is suitable for studying various operational aspects of the same.

In this study a simple PID Controller for micro- turbine power control has been used except that the controller design has not been achieved through trial and error. But the problem has been proposed as an optimization problem and then solved by using Genetic Algorithm. About the advantages of the proposed control, we can point followings:

Corresponding Author: Akbar Houshyar, Department of Engineering, Khomeini Shahr Branch, Islamic Azad University, Khomeini Shahr, Iran

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