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PERFORMANCE OF FUZZY LOGIC BASED MICROTURBINE GENERATION SYSTEM CONNECTED TO GRID/ISLANDED MODE

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PERFORMANCE OF FUZZY LOGIC BASED MICROTURBINE GENERATION SYSTEM CONNECTED TO GRID/ISLANDED MODE ( performance-fuzzy-logic-based-microturbine-generation-system )

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1&2 ABSTRACT International Journal of Fuzzy Logic Systems (IJFLS) Vol.2, No.3, July 2012 PERFORMANCE OF FUZZY LOGIC BASED MICROTURBINE GENERATION SYSTEM CONNECTED TO GRID/ISLANDED MODE 12 SanjeevKNayak andDNGaonkar Department of Electrical and Electronics Engineering, National Institute of Technology Karnataka, Surathkal Mangalore, INDIA nayaksanjeev82@gmail.com dngaonkar@gmail.com The microturbine generation (MTG) system are becoming the popular source of distributed generation (DG) due to their fuel flexibility, reliability and power quality. The MTG system is a complicated thermodynamic electromechanical system with high speed of rotation, frequency conversion and its control strategy. In spite of several techniques to control high speed of microturbine is not accurate and reliable due to their anti-interference problem. This paper presents a fuzzy logic controlled MTG system for grid connected and islanded mode of operation. The development of fuzzy logic based speed governor includes input and output membership function with their respective members. The load variation on MTG system is performed using conventional PI controller and fuzzy logic controller are implemented in Matlab/Simulink and their results are compared with each other. The simulation result of MTG system shows the performance improvement of fuzzy logic governor over a conventional governor. KEYWORDS Distributed Generation, Microturbine PMSM, Power Converter, and Fuzzy logic. 1. INTRODUCTION Distributed Generation (DG) is predicted to play an increasing attention in the electric power system of the near future. DG is limited size of generation (25kW to 1MW) and interconnected at the substation, distribution feeders or consumer load levels [1]. The microturbine generation (MTG) system is a typical and practical system of DG source, because of its small scale generation with fuel flexibility, reliability and power quality. It has been applied in various fields, such as peak power saving, co-generation, remote and premium power applications [2]. The MTG system composed of microturbine as a prime mover, permanent magnet synchronous machine (PMSM), power interfacing circuit for frequency conversion between generation and load. A microturbine is thermodynamically complex mechanical system cannot be modelled accurately and it is difficult to control the speed [2]. A microturbine is integrated with PMSM produces high frequency AC power, where the operating speed ranges generally between 50,000 to 120,000 rpm. The power produced at the generator is around 1 k to 2 kHz of frequency, this high frequency AC power is convertedto DC then inverted back to 50 or 60Hz AC power using suitable converter and inverter [3]. The nonlinear controlled methods based on model cannot solve the various control problems on MTG system, some advance control method as have been applied such as incremental fuzzy PI controller, fuzzy PID controller and neural network controllers. Controlled algorithm based on fuzzy logic have been implemented in many processes the application of such control techniques has been motivated by the following reasons, 1) it improves the robustness over a conventional linear control algorithm, 2) Simplified control design for difficult system model 3) Simplified implementation[4]. This paper presents a fuzzy DOI : 10.5121/ijfls.2012.2304 41

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