Evaluating the value of the excitation capacitance of a wind turbine/induction generator system using genetic algorithms

Tahir, Ahmed; Rajab, Zakariya; Khalil, Ashraf; Hammoda, Ahmed; Elshaibani, Duaa; Greibea, Sara; Alakeili, Loubna

doi:10.1109/irec.2017.7926045

Cited by 7 publications

(11 citation statements)

References 9 publications

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“…This curve may be obtained experimentally by applying a variable, three-phase, alternating current (AC) voltage at rated frequency to the machine terminals while it is being driven at synchronous speed corresponding to that frequency. The value of the magnetizing reactance at a specified operating point is evaluated as (Tahir et al, 2017)…”

Section: Excitation Capacitance Evaluationmentioning

confidence: 99%

“…There are different types of generators that are used with fixed speed or variable speed wind turbines. Fixed speed turbines typically use a synchronous machine (Guo et al, 2016;Puri et al, 2015;Rajab et al, 2017;Xinyin et al, 2008), while variable speed turbines use a direct current (DC) machine, brushless DC machine (Liu et al, 2011(Liu et al, , 2015, or an induction machine (Ahmed et al, 2003a(Ahmed et al, , 2003bBasset and Potter, 1935;Malik and Mazi, 1987;Quazene and Mcpherson, 1983;Singh et al, 2004;Tahir et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Renewable energy has gathered a great deal of attention in the past few years due to several reasons that include economic incentives, energy sustainability, environmental concerns, global warming awareness, and reducing CO 2 emissions. Wind energy is among the best renewable energy resources that are available in the world (Ahmed et al, 2003a; Basset and Potter, 1935; Guo et al, 2016; Liu et al, 2011, 2015; Malik and Mazi, 1987; Puri et al, 2015; Quazene and Mcpherson, 1983; Rajab et al, 2017; Sudhoff, 2013; Tahir et al, 2017; Xinyin et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Genetic algorithm–based calculation of the excitation capacitance of a self-excited induction generator for stable voltage operation over load and speed variations

et al. 2017

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In order to provide the reactive power demand of a self-excited induction generator which is required to achieve a voltage buildup, a three-phase capacitor bank is connected between the generator terminals. As loading increases, the operating point on the magnetizing curve moves toward the linear region which may lead to the collapse of the generated voltage. In this article, genetic algorithms are used to evaluate the value of the excitation capacitance that makes the machine operate in the saturation region which ensures a stable generated voltage. To verify the effectiveness of this method, a laboratory machine which has a relatively high stator and rotor resistances and leakage reactance is considered. The values of the excitation capacitances predicted by the genetic algorithms are applied to the machine Simulink-based model. The results obtained by the simulation are compared with experimental results which show a good agreement.

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Section: Excitation Capacitance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic algorithm–based calculation of the excitation capacitance of a self-excited induction generator for stable voltage operation over load and speed variations

et al. 2017

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“…In the work conducted herein, induction generator is used because it is relatively cheap, easy to construct, robust, and almost maintenance free. In addition, they can operate at variable speed and thus they can be utilized for maximum power tracking (El Naily et al, 2017; Tahir et al, 2017). The specifications of the SCIG used in this study are shown in Table 1.…”

Section: Squirrel Cage Wind Turbine Systemmentioning

confidence: 99%

An intelligent protection scheme to mitigate the impact of integrating large share wind energy resources in a weak distribution network

et al. 2017

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Although integration of wind distributed generation directly into the distribution level has considerable advantages, increased penetration of wind distributed generation (renewable distributed generation) alters the network configuration and jeopardizes the protection system operation and system stability; for this reason, necessary changes in power system protection philosophy must be achieved. Modern numerical relays offer extraordinary features and fast and accurate methods for spotting and detecting different unbalanced operating conditions and can be used to mitigate the influence of integrating wind distributed generation into distribution network. In this study, an adaptive directional negative protective scheme was implemented in the medium-level distribution network to investigate and evaluate the performance of protection system and introduce new adaptive protective scheme based on negative overcurrent protection to increase the selectivity and sensitivity of the protection system in case of unbalanced faulty conditions. The medium-level distribution network of Libya Eastern electric network had been implemented in ETAP software to address and evaluate the efficiency of the proposed approach.

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“…Wind energy is one of the most promising sources of renewable energy (Aldricy et al, 2018;Shankar et al, 2016;Tahir et al, 2017aTahir et al, , 2017b. Wind turbines may be grid connected or independently operated from isolated locations.…”

Section: Introductionmentioning

confidence: 99%

Optimization of small wind turbine blades using improved blade element momentum theory

et al. 2018

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Typically, it is desired to operate the wind turbine at the maximum power point. However, in small wind turbines which have a storage system integrated with them, harvesting as much energy as possible is more crucial. This may be achieved by reducing the cut-in speed while maximizing the mechanical power. These two goals may be achieved by optimizing the turbine blades. In this article, the turbine blades are optimized using improved blade element momentum theory including Viterna-Corrigan stall model with the objective to yield low cut-in speed and high power level. Using the blade element momentum analysis, the power coefficient curves as functions of tip-speed ratio at various range of wind speeds are obtained for the optimized turbine. Using MATLAB/Simulink tool, a wind energy system, which consists of a wind turbine, permanent magnet synchronous generator and a resistive load, is simulated. The curves obtained from the blade element momentum analysis are used to emulate the wind turbine. The results obtained from the simulation are compared to experimental results. It is noticed that the wind turbine may be optimized to harvest more energy.

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Evaluating the value of the excitation capacitance of a wind turbine/induction generator system using genetic algorithms

Cited by 7 publications

References 9 publications

Genetic algorithm–based calculation of the excitation capacitance of a self-excited induction generator for stable voltage operation over load and speed variations

Genetic algorithm–based calculation of the excitation capacitance of a self-excited induction generator for stable voltage operation over load and speed variations

An intelligent protection scheme to mitigate the impact of integrating large share wind energy resources in a weak distribution network

Optimization of small wind turbine blades using improved blade element momentum theory

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