scholarly journals Power Optimization for Wind Turbines Based on Stacking Model and Pitch Angle Adjustment

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4158 ◽  
Author(s):  
Zhikun Luo ◽  
Zhifeng Sun ◽  
Fengli Ma ◽  
Yihan Qin ◽  
Shihao Ma
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Output ◽  
Pitch Angle ◽  
Power Optimization ◽  
Wind Power Generation ◽  
Gradient Boosting ◽  
Light Gradient ◽  
Extreme Gradient Boosting

As we know, power optimization for wind turbines has great significance in the area of wind power generation, which means to make use of wind resources more efficiently. Especially nowadays, wind power generation has become more and more important. Generally speaking, many parameters could be optimized to enhance power output, including blade pitch angle, which is usually ignored. In this article, a stacking model composed of Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Extreme Gradient Boosting (XGBOOST) and Light Gradient Boosting Machine (LGBM) is trained based on historical data exported from the Supervisory Control and Data Acquisition (SCADA) system for output power prediction. Then, we carry out power optimization through pitch angle adjustment based on the obtained prediction model. Our research results indicate that power output could be enhanced by adjusting pitch angle appropriately.

scholarly journals Automated power management strategy for wind power generation system using pitch angle controller

2019 ◽  
Vol 52 (3-4) ◽  
pp. 169-182 ◽  
Author(s):  
R Sitharthan ◽  
CK Sundarabalan ◽  
KR Devabalaji ◽  
T Yuvaraj ◽  
A Mohamed Imran
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Management ◽  
Control Strategy ◽  
Pitch Angle ◽  
Reactive Power ◽  
Research Work ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System

In this literature, a new automated control strategy has been developed to manage the power supply from the wind power generation system to the load. The main objective of this research work is to develop a fuzzy logic–based pitch angle control and to develop a static transfer switch to make power balance between the wind power generation system and the loads. The power management control system is a progression of logic expressions, designed based on generating power and load power requirement. The outcome of this work targets at an improved power production, active and reactive power compensation and ensures system load constraints. To validate the proposed control strategy, a detailed simulation study is carried out on a 9-MW wind farm simulation simulated in MATLAB/Simulink environment.

Wind power generation forecast by coupling numerical weather prediction model and gradient boosting machines in Yahyalı wind power plant

2020 ◽  
pp. 0309524X2097211
Author(s):  
Cem Özen ◽  
Umur Dinç ◽  
Ali Deniz ◽  
Haldun Karan
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Hybrid Model ◽  
Spatial Resolution ◽  
Numerical Weather Prediction ◽  
Wind Farm ◽  
Weather Prediction ◽  
Numerical Weather Prediction Model ◽  
Wind Power Generation ◽  
Gradient Boosting

Forecasting of the wind speed and power generation for a wind farm has always been quite challenging and has importance in terms of balancing the electricity grid and preventing energy imbalance penalties. This study focuses on creating a hybrid model that uses both numerical weather prediction model and gradient boosting machines (GBM) for wind power generation forecast. Weather Research and Forecasting (WRF) model with a low spatial resolution is used to increase temporal resolutions of the computed new or existing variables whereas GBM is used for downscaling purposes. The results of the hybrid model have been compared with the outputs of a stand-alone WRF which is well configured in terms of physical schemes and has a high spatial resolution for Yahyalı wind farm over a complex terrain located in Turkey. Consequently, the superiority of the hybrid model in terms of both performance indicators and computational expense in detail is shown.

scholarly journals Two methods for estimating limits to large-scale wind power generation

2015 ◽  
Vol 112 (36) ◽  
pp. 11169-11174 ◽  
Author(s):  
Lee M. Miller ◽  
Nathaniel A. Brunsell ◽  
David B. Mechem ◽  
Fabian Gans ◽  
Andrew J. Monaghan ◽  
...  
Keyword(s):  
Power Generation ◽  
Kinetic Energy ◽  
Wind Power ◽  
Energy Flux ◽  
Wind Turbines ◽  
Large Scale ◽  
Wind Farms ◽  
Wind Power Generation ◽  
Flux Method ◽  
Free Atmosphere

Wind turbines remove kinetic energy from the atmospheric flow, which reduces wind speeds and limits generation rates of large wind farms. These interactions can be approximated using a vertical kinetic energy (VKE) flux method, which predicts that the maximum power generation potential is 26% of the instantaneous downward transport of kinetic energy using the preturbine climatology. We compare the energy flux method to the Weather Research and Forecasting (WRF) regional atmospheric model equipped with a wind turbine parameterization over a 105 km2 region in the central United States. The WRF simulations yield a maximum generation of 1.1 We⋅m−2, whereas the VKE method predicts the time series while underestimating the maximum generation rate by about 50%. Because VKE derives the generation limit from the preturbine climatology, potential changes in the vertical kinetic energy flux from the free atmosphere are not considered. Such changes are important at night when WRF estimates are about twice the VKE value because wind turbines interact with the decoupled nocturnal low-level jet in this region. Daytime estimates agree better to 20% because the wind turbines induce comparatively small changes to the downward kinetic energy flux. This combination of downward transport limits and wind speed reductions explains why large-scale wind power generation in windy regions is limited to about 1 We⋅m−2, with VKE capturing this combination in a comparatively simple way.

Recent Advances in Rotor Design of Vertical Axis Wind Turbines

2012 ◽  
Vol 36 (6) ◽  
pp. 647-665 ◽  
Author(s):  
David MacPhee ◽  
Asfaw Beyene
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Recent Work ◽  
Wind Turbines ◽  
Vertical Axis ◽  
Wind Power Generation ◽  
Small Scale ◽  
Rotor Design ◽  
Vertical Axis Wind Turbines ◽  
Design And Testing

The following work represents the most recent advances in design and testing of vertical axis wind turbines (VAWT) rotors. VAWTs have received much attention as of late due to proposed advantages in small scale and off grid wind power generation. Thus, many recent works have surfaced involving analysis, design and optimization of VAWT rotors in order to more efficiently convert wind energy to electricity or other readily usable means. This paper is a collection of most of the recent literature works involving VAWT rotor design and testing, the majority of which published after 2005. We discuss research in the designing of various lift based rotors as well as some drag based rotors, hybrids, and various others. The recent work in this area suggests VAWT capacity could dramatically increase in the near future, and play a vital role in obtaining cleaner, more sustainable energy when global energy demand is increasing at an unprecedented rate. HIGHLIGHTS A review of various works involving rotor design and testing of both lift and drag Vertical Axis Wind Turbines (VAWTs) is presented; Benefits of vertical axis wind turbines in small scale and off grid wind power generation is summarized; Much of the recent work, published after 2005, has been directed towards analyzing, designing, and optimizing rotor shapes. The body of this recent work suggests that research on VAWT rotor design continues to flourish and could make VAWTs a viable competitor to more traditional Horizontal Axis Wind Turbines (HAWTs) worldwide.

Structural Control Issues in New Generation Offshore Wind Energy Plants

2012 ◽  
Vol 83 ◽  
pp. 167-176 ◽  
Author(s):  
Ning Su Luo
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Turbines ◽  
Structural Control ◽  
Wind Farm ◽  
Wind Power Generation ◽  
Offshore Wind ◽  
Wave Loads ◽  
Offshore Wind Power ◽  
New Generation

A new constructive solution for the offshore wind power generation is to use floating wind turbines. An offshore wind farm situated sufficiently far away from the coast can generate more wind power and will have a longer operation life since the wind is stronger and more consistent than that on or near the coast. One of the main challenges is to reduce the fatigue of a floating wind turbine so as to guarantee its proper functioning under the constraints imposed by the floating support platforms. This paper will discuss the structural control issues related to the mitigation of dynamic wind and wave loads on the floating wind turbines so as to enhance the offshore wind power generation.

scholarly journals Wind Power Generation in India: Evolution, Trends and Prospects

2013 ◽  
Vol 2 (3) ◽  
pp. 175-186 ◽  
Author(s):  
M.F. Khan ◽  
M.R. Khan
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Turbines ◽  
Tamil Nadu ◽  
Wind Power Generation ◽  
Electricity Sector ◽  
Attractive Alternative ◽  
Government Organizations ◽  
Southern States ◽  
Present Context

In the present context of shrinking conventional resources coupled with environmental perils, the wind power offers an attractive alternative. Wind power generation in India started way back in early 1980s with the installation of experimental wind turbines in western and southern states of Gujarat and Tamil Nadu. For first two decades of its existence until about 2000 the progress was slow but steady. In last one decade Indian wind electricity sector has grown at very rapid pace which has promoted the country to the fifth position as largest wind electric power generator and the third largest market in the world. The galvanization of wind sector has been achieved through some aggressive policy mechanisms and persistent support by government organizations such as MNRE and C-WET. This paper articulates the journey of Indian wind program right since its inception to the present trends and developments as well as the future prospects. Keywords: mnre, c-wet, renewable energy, wind power, wind turbines.

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