A Novel Unified Approach for the Analysis and Design of Wind-Driven SEIGs Using Nested GAs

Karthigaivel, R.; Kumaresan, N.; Raja, P.; Subbiah, M.

doi:10.1260/0309-524x.33.6.631

Cited by 15 publications

(18 citation statements)

References 19 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, it is to be noted that (i) the magnetising reactance X m and the core loss resistance R m vary with the speed and load and (ii) as seen from (1), the generated frequency f g depends not only on the speed but also on the parameters of the generator and load. So in this paper, a technique based on genetic algorithm (GA), proposed more recently by Karthigaivel et al [25,26] is adopted.…”

Section: Steady-state Analysis Of Ceig Using Ga Techniquementioning

confidence: 99%

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

Kumar

Kumaresan

Subbiah³

2015

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

A system consisting of a capacitor-excited induction generator (CEIG) with associated power electronic converters has been developed for supplying power to a micro-grid. The power fed to the grid from the CEIG is controlled using a diode bridge rectifier (DBR) and a pulse width modulated (PWM) inverter, connected between the generator terminals and the grid. A simple analog based hysteresis current control (HCC) technique has been employed in which the current control of the PWM inverter alone needs to be carried out by sensing the current and voltage at the grid terminals. The successful working of the system has been demonstrated for three different patterns of feeding power to a micro-grid, by experiments conducted on a three-phase 230 V, 3.7 kW CEIG, with a 100 µF delta connected excitation capacitor bank and employing the controllers fabricated in the laboratory. The grid power is represented as an equivalent load resistance in the steady-state equivalent circuit of the CEIG and the technique of genetic algorithm (GA) has been adopted for the analysis of the proposed system. The predetermined performance characteristics of the system and the results of Matlab/Simulink simulation studies have also been presented.

show abstract

Section: Steady-state Analysis Of Ceig Using Ga Techniquementioning

confidence: 99%

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

Kumar

Kumaresan

Subbiah³

2015

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

show abstract

“…Such traditional methods involve the derivation of lengthy equations and are also time consuming [16,17]. So, in this paper, SEIG has been analyzed using Genetic algorithm, an approach recently suggested in [18][19][20] which has been shown to be simple compared to all other earlier methods. In this analysis, the loop impedance expression is taken as such without any further simplification and its absolute value is taken as the objective function.…”

Section: Steady-state Analysis Of Seig Using Ga Techniquementioning

confidence: 99%

“…where Figure.2 Equivalent circuit of SEIG with load All reactances correspond to rated frequency Thus, after arriving at the values of a and X m for a given b using the methods described in [18], the induced emf can be determined from the magnetization characteristic of the machine. Then, the load phase voltage (V P ), load current (I R1 ) and power output (P g ) can be computed from the expressions derived from the equivalent circuit shown in Fig.2 and they are summarized in Appendix.…”

Section: Steady-state Analysis Of Seig Using Ga Techniquementioning

confidence: 99%

“…The (E/a) against X m characteristic was obtained experimentally at the rated frequency of 50 Hz, following the procedure described in [17,18]. This characteristic expressed as a 3 rd order polynomial is Since the proposed SEIG-converter system is meant for extracting the maximum possible power from the wind, the performance of the system should be evaluated for the given values of power supplied to the grid and the inverter output voltage.…”

Section: Predetermination Of Performancementioning

confidence: 99%

See 1 more Smart Citation

Performance predetermination of variable speed wind-driven grid connected SEIGs

Rakesh

Kumaresan

Kumar

et al. 2012

2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

Self Cite

View full text Add to dashboard Cite

A Self Excited Induction Generator (SEIG) system has been proposed for supplying power to the grid through a combination of a three-phase semi-converter (SC) and a line commutated inverter. This system is capable of operating at variable speed to enable maximum power, proportional to the cube of the wind speed, to be extracted from the wind. The method of analysing the system has been explained by deriving the relevant expressions for the various performance quantities. The different control schemes to be adopted for the SC to suit the various speed ranges of the generator has been described with an example along with the predetermined performance characteristics of the system, following cube law power curve. The simulated waveforms of voltage and current at the various stages of the proposed system are also presented.

show abstract

“…In SEIGs, the iron loss can be expected to vary from ∼3 to 10% of the rated power as the rotor speed varies. Accordingly, the range for core loss resistance for each machine, R mn, can be estimated [7,22] Incorporating all these requirements, the flowchart shown in Fig. 2 indicates the sequence of steps to be followed for the calculations of the unknown values in the system, for the given set of rotor speeds of the generators in the system.…”

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

View full text Add to dashboard Cite

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.

show abstract

A Novel Unified Approach for the Analysis and Design of Wind-Driven SEIGs Using Nested GAs

Cited by 15 publications

References 19 publications

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

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

Performance predetermination of variable speed wind-driven grid connected SEIGs

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

Contact Info

Product

Resources

About