Analysis and control of capacitor‐excited induction generators connected to a micro‐grid through power electronic converters

Kumar, Sunil; Kumaresan, N.; Subbiah, M.

doi:10.1049/iet-gtd.2014.0529

Cited by 28 publications

(10 citation statements)

References 36 publications

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“…Self-excited induction generators have been widely used in renewable energy systems, such as wind power generation [1][2][3][4][5], as well as in isolated power systems, such as ships, aircrafts, and drilling platforms [6][7][8][9], due to their advantages of simplicity, robustness, low-cost, high reliability, no external excitation, and convenient maintenance. With rapid development of renewable and stand-alone energy generation systems, a lot of research has been carried out relating to self-excited induction generators.…”

Section: Introductionmentioning

confidence: 99%

Load Capacity Analysis of Self-Excited Induction Generators Based on Routh Criterion

Xibo

et al. 2019

Energies

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In this paper, the Routh criterion has been used to analyze the stability of a self-excited induction generator-based isolated system which is regarded as an autonomous system. Special focus has been given to the load capacity of the self-excited induction generator. The state matrix of self-excited induction generators with resistor-inductor load has been established based on transient equivalent circuits in the stator stationary reference-frame. The recursive Routh table of self-excited induction generators is established by the characteristic polynomial coefficients of the state matrix. According to the Routh stability criterion, the necessary and sufficient condition to predict the critical loads of self-excited induction generators is deduced, from which the critical load impedance can be calculated. A simple self-excited induction generator-based isolated power system has been built up with a 2.2 kW self-excited induction generator. The theoretical analysis and experiments were all carried out based on this platform. In the range determined by the minimum excitation capacitance (C min ) and the maximum excitation capacitance (C max ), the critical loads under various power factors have been calculated. The agreement of the calculated theoretical results and experimental results demonstrate the effectiveness and accuracy of the proposed analysis method. The conclusions achieved lay a foundation for further application of Routh stability criterion in self-excited induction generator-based power systems analysis.

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Section: Introductionmentioning

confidence: 99%

Load Capacity Analysis of Self-Excited Induction Generators Based on Routh Criterion

Xibo

et al. 2019

Energies

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“…More recently, Rakesh et al [20] have made an elaborate survey of the major methods of performance analysis of SEIGs and concluded that making use of the genetic algorithm (GA) tool box in MATLAB software for the analysis of SEIG is very straightforward and simple compared to all other methods. This algorithm has been used in the recent years for the analysis of SEIGs [21–24], but only single machine systems have been considered, which involve only three unknown quantities ( X m , R m , and a ). Prior to the advent of GA, the net loop impedance of the equivalent circuit (Z loop ) of the single machine was equated to zero and then through lengthy derivations, the unknown quantities were evaluated.…”

Section: Introductionmentioning

confidence: 99%

“…Prior to the advent of GA, the net loop impedance of the equivalent circuit (Z loop ) of the single machine was equated to zero and then through lengthy derivations, the unknown quantities were evaluated. Compared to such complexities, the GA method is much simpler and its merits have been fully explained in [22–24]. In this context, it is felt that this GA technique will be even more adaptable for parallel operated SEIG systems which involve many more unknown parameters, namely, the magnetising reactances, core loss resistances of the generators and those of the inductor motor loads (

X_{mm}, R_{mm}, \dots, X_{mg}, R_{mg} \dots

), and the common operating frequency, a .…”

Section: Introductionmentioning

confidence: 99%

Genetic algorithm‐based analysis of wind‐driven parallel operated self‐excited induction generators supplying isolated loads

Raj

Kamalakannan²,

Karthigaivel

2018

IET Renewable Power Generation

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A procedure based on genetic algorithm (GA) has been formulated for the performance predetermination of winddriven self-excited induction generators (SEIGs) operating in parallel and supplying common loads. Both static and induction motor (IM) loads have been considered. The GA technique has also been applied for the evaluation of the excitation capacitor required for obtaining a desired terminal voltage for a given speed and load. This technique is also used for the predetermination of the upper and lower limits of the rotor speed of any SEIG in the parallel set up, to keep all the machines in the generating mode. The necessity of the terminal voltage equality of all the parallel operating machines serves as one of the factors in the formation and minimisation of the objective function, leading to the solution for the unknown magnetising reactances and core loss resistances of the various induction machines and the common frequency of operation of the setup. Experimental results obtained on the SEIGs have been furnished and they are shown to be in close agreement with predetermined values using the GA method. The analysis developed herein will be useful in forming AC and DC microgrids, fed by several SEIGs. Note: In parallel connected SEIGs, subscripts 1, 2 … n given to the voltage, current, power, and machine parameters refer to SEIG-1, SEIG-2, and so on. In the case of SEIGs feeding IMs, subscripts g and m refer to generator and motor, respectively.

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“…These SEIGs are used for feeding power to isolated loads, through suitable power electronic converters [4–10]. Suitably designed power electronic interfaces are also configured with SEIGs for maximum power point tracking for supplying micro‐grids [11–14]. Estimation of excitation capacitor, algorithms for arriving at optimised designs of SEIGs for meeting the required performance constraints and also changing the stator winding connections from delta to star for operating the SEIGs over extended rotor speeds have also been described in the literature [15–17].…”

Section: Introductionmentioning

confidence: 99%

Simplified methods for the analysis of self‐excited induction generators

Arthishri

Anusha²,

Kumaresan

et al. 2017

IET Electric Power Applications

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In this study, two simple methods for the steady‐state analysis of self‐excited induction generators (SEIGs) are proposed. These methods neither require lengthy mathematical derivations nor any advanced optimisation techniques to solve the equivalent circuit of SEIGs. First method involves a simple linear search algorithm and the second method employs a binary search algorithm to find the operating frequency at any given rotor speed, leading to the performance predetermination of SEIGs. To start the search techniques, a systematic approach has been formulated for fixing the boundary values required for the unknown pu frequency. The efficacy of the proposed methods has been demonstrated by presenting the predetermined performance characteristics of a three‐phase, 230 V, four‐pole, 50 Hz SEIG. The same SEIG was also tested in the laboratory using a DC motor as the prime mover. The closeness observed between the predetermined values and the experimental results further confirms the validity of the search algorithms. It has also been shown that the proposed methods can be extended with the same simplicity, for carrying out the performance predetermination of the short‐shunt configuration of SEIGs, used for obtaining improved voltage regulation with lagging power factor loads.

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Analysis and control of capacitor‐excited induction generators connected to a micro‐grid through power electronic converters

Cited by 28 publications

References 36 publications

Load Capacity Analysis of Self-Excited Induction Generators Based on Routh Criterion

Load Capacity Analysis of Self-Excited Induction Generators Based on Routh Criterion

Genetic algorithm‐based analysis of wind‐driven parallel operated self‐excited induction generators supplying isolated loads

Simplified methods for the analysis of self‐excited induction generators

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