Modelling, analysis and control of stand‐alone self‐excited induction generator‐pulse width modulation rectifier systems feeding constant DC voltage applications

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

doi:10.1049/iet-gtd.2013.0025

Cited by 36 publications

(11 citation statements)

References 43 publications

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“…1, should be replaced with R eq and X eq . Methods for representing static loads or battery charging loads suitably with equivalent values, at the terminals of single SEIG, have been dealt with extensively in [7, 23, 24]. The same transformations can be adopted to represent the common load, in the case of parallel connected SEIGS also.…”

Section: Details Of Machines Taken For Illustrationmentioning

confidence: 99%

“…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%

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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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Section: Details Of Machines Taken For Illustrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

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

Section: Introductionmentioning

confidence: 99%

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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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“…the hybrid exciter proposed in [5] is composed by fixed capacitor banks and a three‐phase pulse‐width modulation (PWM) inverter, controlled in open loop and fed from a battery storage system. In [6], the inverter is controlled in order to ramp the dc‐bus voltage from a small initial voltage due to residual magnetism to the rated value.…”

Section: Introductionmentioning

confidence: 99%

Two‐phase high‐performance control of a reliable stand‐alone induction generator

Brando¹,

Pizzo²,

Noia³

et al. 2017

IET Electric Power Applications

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The study presents a significant development of an advanced control strategy for stand-alone three-phase induction generators. The system under study consists of a squirrel-cage induction generator driven mechanically by an internal combustion engine and electrically by a fault-tolerant converter coupled with a LC filter. As a novelty, in this study three low-cost electrical contactors are introduced in order to rearrange the converter topology after a fault occurrence and a proper restarting procedure is developed, allowing the converter to operate with only two legs. The control architecture is mainly described with respect to this last operating condition, evidencing its intrinsic robustness. The study focuses on the composite control of the converter and the prime mover in order to improve the dynamic assessment of the whole system. The converter control is designed around the sliding mode technique, due to its attractive performance, especially as far as parameter uncertainties are concerned. In order to validate the theoretical framework, this study presents the first ever made experimental tests of this system with reference to a generation unit of about 10 kVA. The results confirm the high capability of the proposed system in regulating voltage and frequency with very good dynamic features.

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“…Effect of terminal capacitors and loading on steady state and transient performance of a self‐excited generator with balanced load is studied in [10, 11]. Self‐excited generators can also be used to supply DC loads conveniently using a converter [12], but usually requires generation at fixed frequency for supplying AC loads. Grid‐connected as well as standalone wind power generation systems operation have become more flexible with the advent of doubly‐fed IG schemes which allows better control and power recovery [13, 14].…”

Section: Introductionmentioning

confidence: 99%

Analysis and control of photovoltaic‐assisted three‐phase induction machine operating as single‐phase micro‐wind generator

Chatterjee

2016

IET Generation, Transmission & Distribution

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Modelling, analysis and control of stand‐alone self‐excited induction generator‐pulse width modulation rectifier systems feeding constant DC voltage applications

Cited by 36 publications

References 43 publications

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

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

Two‐phase high‐performance control of a reliable stand‐alone induction generator

Analysis and control of photovoltaic‐assisted three‐phase induction machine operating as single‐phase micro‐wind generator

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