Steady-State Analysis of Parallel-Operated Self-Excited Induction Generators Supplying an Unbalanced Load (original) (raw)
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This paper investigates the effects of various parameters on the terminal voltage and frequency of self excited induction generator using genetic algorithm. The parameters considered are speed, capacitance, leakage reactance, stator and rotor resistances. Simulated results obtained using genetic algorithm facilitates in exploring the performance of self-excited induction generator. The paper henceforth establishes the application of user friendly genetic algorithm for studying the behaviour of self-excited induction.
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A new method to evaluate the steady state performance of a three-phase self excited induction generator based on conductance minimization is proposed. Among the priorities of this method are the absence of convergence problem, flexibility and the ability to be augmented to RC loads and loads with compensation. Simple methods to find the frequency, magnetizing reactance and minimum required capacitance are proposed. Simulation results show the agreement of this method with other common methods.
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Self-excited induction generators (SEIG) are found to be most suitable candidate for wind energy conversion application required at remote windy locations. Such generators are not able to maintain the terminal voltage with load as, a literature survey reveals, the voltage profile falls sharply with load. In this paper an attempt has been made to improve the voltage profile of a self-excited induction generator. A new methodology based upon Genetic Algorithm (GA) is proposed to compute the steady state performance of the model including core loss branch. Further efforts are made to control the terminal voltage under loaded conditions. Simulated results using proposed modeling have been compared with experimental results. A close agreement between the computed and experimental results confirms the validity of the approach adopted.
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Studies of self-excited induction generators have been investigated since 1935. Many papers dealing with various problems in the field of SEIG have been published. The primary advantages of SEIG are lower maintenance costs, better transient performance, lack of a dc power supply for field excitation, brushless construction (squirrel-cage rotor), etc. In addition, induction generators have been widely employed to operate as wind-turbine generators and small hydroelectric generators of isolated power systems. Induction generators can also be connected to large power systems, to inject electric power .
A 3 phase self-excited induction generator (SEIG) as a source of isolated power supply driven by non-conventional energy sources such as wind and biogas has recently gained importance. In this paper, the steady state analysis of SEIG has been made using Gauss-Newton or Levenberg-Marquardt method (Nonlinear least-squares) and different performance characteristics as a function of speed, capacitance and load have been obtained. The procedure used is simple, comprehensive, efficient and well suited for optimization tool box of MATLAB. A computer algorithm is presented to predict the various performance characteristics using the proposed method. Core loss has been incorporated in the analysis of improves accuracy in the simulated results. The effect of various system parameters such as stator resistance and speed on the steady state characteristics are studied and the results are presented to get the maximum output power for selection of capacitor required and operation of self-excited induction generator.