ISBN 978-93-5156-328-0 International Conference of Advance Research and Innovation (ICARI-2015) 410 ICARI Particle Swarm Optimization Based Performance Investigation of Self- Excited Induction Generator Duli Chand Meena, Dheeraj Joshi Department of Electrical Engineering, Delhi Technological University, New Delhi, India Abstract In this paper the steady state performance of self excited induction generators is determined using particle swarm optimization(PSO) technique. The analysis is carried for R-L load. Simulated results obtained using the particle swarm optimization technique via Matlab facilitate in exploring the performance of self-excited induction generator. List of symbols ω angular frequency F per unit generated frequency I L per unit load current I S per unit stator current R S per unit stator resistance R R per unit rotor resistance R L per unit load resistance v per unit speed V g per unit air gap voltage V L per unit load voltage V t per unit terminal voltage V S per unit stator voltage X S per unit stator reactance X R per unit rotor reactance X L per unit load reactance X m per unit magnetizing reactance X C per unit shunt capacitance j per unit imaginary operator 1. Introduction Induction generators were used from the beginning of the 20th century until they were abandoned and almost disappeared in the 1960s. With the dramatic increase in petroleum prices in the 1970s, the induction generator returned to the scene. With such high-energy costs, rational use and conservation implemented by many process of heat recovery and other similar forms became important goals. By the end of the 1980s, wider distribution of population over the planet, as improved transportation and communication enabled people to move away from large urban concentration, and growing concerns with the environment led to demand by many isolated communities for their own power plants. In the 1990s, ideas such as distributed generation began to be discussed in the media and in research centers [1]. Traditionally, synchronous generators have been used for power generation but induction generators are Corresponding Author, E-mail address: dcmeenadce@gmail.com All rights reserved: http://www.ijari.org increasingly being used these days because of their relative advantageous features over conventional synchronous generators. These features are brush less and rugged construction, low cost, maintenance and operational simplicity, self-protection against faults, good dynamic response, and capability to generate power at varying speed. For its simplicity, robustness, and small size per generated kW, the induction generator is favored for small hydro and wind power plants. The need of external reactive power, to produce a rotating flux wave limits the application of an induction generator as a stand-alone generator. However, it is possible for an induction machine to operate as a self-excited induction generator (SEIG) if capacitors are connected to the stator terminals to supply sufficient reactive power. The analysis of steady state performance is important for ensuring good quality power and assessing the suitability of the configuration for a particular application. In an isolated power system, both the terminal voltage and frequency are unknown and have to be computed for a given speed, capacitance, and load impedance. A large number of articles have appeared on the steady state analysis of SEIG [2], [3] - [5]. T. F. Chan [4] has proposed solution technique for the steady state analysis of self- excited induction generator. He proposed an iterative technique by assuming some initial value for frequency and magnetizing reactance and then solving for a new value considering a small increment until the result converges. S. S. Murthy [6] et al. presents a Matlab based generalized algorithm to predict the dynamic and steady state performance of self-excited induction generators (SEIG) under any combination of speed, excitation capacitor and loading. Three different methods, operational equivalent circuit, Newton-Raphson and equivalent impedance method are used for analyzing under any given situation. Abdulrahman L. Alolah [7] has proposed an optimization based approach for steady state analysis of SEIG; the problem is formulated as a multidimensional optimization problem. A constrained optimizer is used to minimize a cost function of the total impedance or admittance of the circuit of the generator to obtain the Article Info Article history: Received 8 January 2015 Received in revised form 15 January 2015 Accepted 22 January 2015 Available online 31 January 2015 Keywords Steady-State Analysis, Self-Excited Induction Generator, Particle Swarm Optimization