A particle swarm optimization for wind energy control problem

Kongnam, C.; Nuchprayoon, Somboon

doi:10.1016/j.renene.2010.02.020

Cited by 38 publications

(32 citation statements)

References 22 publications

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“…A fixed-speed turbine is most productive at a single wind velocity, whereas a variable-speed wind turbine has the ability to adjust the speed to different wind velocities. This means that it is at peak performance nearly all of the time [15].…”

Section: Modeling Of a Variable-speed Wtsmentioning

confidence: 99%

“…In this type of WTS, the generator is connected directly to the distribution grid through a transformer and the rotor speed is kept constant by using the stall principle or pitch control. The tip-speed ratio changes with the variation of wind speed, which leads to changes in the rotor power coefficient as well as the power output [15].…”

Section: Modeling Of a Fixed (Constant)-speed Wtsmentioning

confidence: 99%

“…The amount of produced energy by a WTS changes according to the site, because different sites have different wind characteristics in terms of mean wind speed, frequency, and direction. Accordingly, there have been a number of studies on performing site-specific design optimization of WTSs in the literature [5,[10][11][12][13][14][15][16][17][18]. A basic model for COE was given in [5].…”

Section: Introductionmentioning

confidence: 99%

“…In that study, the blade element momentum theory given in [11] was used to compute the amount of energy production. In [12][13][14][15]18], site-specific methods for optimizing WTSs based on cost reduction, for which the objective function was per cost of energy, were proposed. Design optimization was performed to maximize produced energy at minimum cost and site wind characteristics were incorporated into the design process.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, special parametric analyses, i.e. of effects of wind characteristics on the maximum energy production and rotor tip-speed ratio [15] and of effects of turbine rated power and rotational speed on turbine design parameters and COE [18], were also carried out.…”

Section: Introductionmentioning

confidence: 99%

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Site-specific design optimization of horizontal-axis wind turbine systems using PSO algorithm

Eminoğlu¹

2016

Turk J Elec Eng & Comp Sci

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Abstract:Due to the complexity of wind turbine systems (WTSs) containing multiple components, design parameters of a WTS must match each other in order to produce electrical energy at a lower cost and a higher efficiency. In this study, a framework for site-specific design optimization of a horizontal-axis WTS is proposed. It is based on cost reduction and the objective function is the produced energy cost. The cost of energy model proposed by the National Renewable Energy Laboratory is utilized. In order to compute turbine output power that results in annual energy production, a new approach is proposed to model the power coefficient of rotor for fixed-speed WTSs. Design optimizations are performed by using a particle swarm optimization algorithm, which appears to be efficient for this type of problem.WTSs in northern Europe and the Mediterranean were studied. Results show that optimized WTSs for these sites have high profitability in terms of cost and amount of energy when compared with reference WTSs installed in these sites.Parametric analyses are also undertaken in order to evaluate the effect of wind characteristics on the produced energy cost for both types of WTSs and the effects of rotor tip-speed ratio and turbine-rated power on the design parameters and produced energy cost for fixed-speed WTSs. It is concluded that rotor tip-speed ratio has strong effects on design wind speed for fixed-speed WTSs and on the cost of kWh.

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Section: Modeling Of a Variable-speed Wtsmentioning

confidence: 99%

Section: Modeling Of a Fixed (Constant)-speed Wtsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Site-specific design optimization of horizontal-axis wind turbine systems using PSO algorithm

Eminoğlu¹

2016

Turk J Elec Eng & Comp Sci

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Improving wind speed forecasts from the Weather Research and Forecasting model at a wind farm in the semiarid Coquimbo region in central Chile

et al. 2020

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Accurate predictions of the wind field are key for better wind power forecasts. Wind speed forecasts from numerical weather models present differences with observations, especially in places with complex topography, such as the north of Chile. The present study has two goals: (a) to find the WRF model boundary layer (PBL) scheme that best reproduces the observations at the Totoral Wind Farm, located in the semiarid Coquimbo region in north‐central Chile, and (b) to use an artificial neural network (ANN) to postprocess wind speed forecasts from different model domains to analyze the sensitivity to horizontal resolution. The WRF model was run with three different PBL schemes (MYNN, MYNN3, and QNSE) for 2013. The WRF simulation with the QNSE scheme showed the best agreement with observations at the wind farm, and its outputs were postprocessed using two ANNs with two algorithms: backpropagation (BP) and particle swarm optimization (PSO). These two ANNs were applied to the innermost WRF domains with 3‐km (d03) and 1‐km (d04) horizontal resolutions. The root‐mean‐square errors (RMSEs) between raw WRF forecasts and observations for d03 and d04 were 2.7 and 2.4 ms−1, respectively. When both ANN models (BP and PSO) were applied to Domains d03 and d04, the RMSE decreased to values lower than 1.7 ms−1, and they showed similar performances, supporting the use of an ANN to postprocess a three‐nested WRF domain configuration to provide more accurate forecasts in advance for the region.

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Wind energy literature survey no. 18

Henriksen¹

2010

Wind Energy

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A particle swarm optimization for wind energy control problem

Cited by 38 publications

References 22 publications

Site-specific design optimization of horizontal-axis wind turbine systems using PSO algorithm

Site-specific design optimization of horizontal-axis wind turbine systems using PSO algorithm

Improving wind speed forecasts from the Weather Research and Forecasting model at a wind farm in the semiarid Coquimbo region in central Chile

Wind energy literature survey no. 18

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