Archives Des Sciences Vol 65, No. 7;Jul 2012 187 ISSN 1661-464X Evolutionary Programming Algorithm for Designing Controller in order to Control of Micro-Turbine in Island Mode Arash Afraz Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran E-mail: arash_afraz@yahoo.com Tel: +98-937-325-6015 Mohammad Salehi maleh Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran E-mail: mohammad.salehi.male@gmail.com Homayoun Ebrahimian Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran E-mail: ebrahimian65@yahoo.com Tel: +98-912-3241944 Noradin Ghadimi* (Corresponding author) Young Researchers Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran E-mail: ghadimi.noradin@gmail.com Tel: +98-914-702-8949 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 Evolutionary Programming algorithm. Simulation results are done for various loads in time domain, and the results show the efficiency of the proposed controller. Keywords: Micro-Turbine, Evolutionary Programming, Distributed Generation, Controller Design, Optimization 1. 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