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Optimal control theory extending from the calculus of variations has not been used to study the wind turbine power system (WTPS) control problem, which aims at achieving two targets: (i) maximizing power generation in lower wind speed…

最优化与控制 · 数学 2024-11-18 Hesham Abdelfattah , Sameh A. Eisa , Peter Stechlinski

With the rising costs of conventional sources of energy, the world is moving towards sustainable energy sources including wind energy. Wind turbines consist of several electrical and mechanical components and experience an enormous amount…

机器学习 · 计算机科学 2020-01-13 Joyjit Chatterjee , Nina Dethlefs

Wind turbines located in wind farms are operated to maximize only their own power production. Individual operation results in wake losses that reduce farm energy. In this study, we operate a wind turbine array collectively to maximize total…

The global transition towards renewable energy has accelerated the deployment of utility-scale wind farms, increasing the need for accurate performance and economic assessments. Although wind energy offers substantial potential for carbon…

系统与控制 · 电气工程与系统科学 2026-03-25 Ann Mary Toms , Xingpeng Li

Wind energy significantly contributes to the global shift towards renewable energy, yet operational challenges, such as Leading-Edge Erosion on wind turbine blades, notably reduce energy output. This study introduces an advanced, scalable…

系统与控制 · 电气工程与系统科学 2025-06-17 Emil Marcus Buchberg , Kent Vugs Nielsen

In this paper, a model predictive control scheme for wind farms is presented. Our approach considers wake dynamics including their influence on local wind conditions and allows to track a given power reference. In detail, a Gaussian wake…

系统与控制 · 电气工程与系统科学 2024-05-22 Arnold Sterle , Christian A. Hans , Jörg Raisch

Wind energy is one of the cleanest renewable electricity sources and can help in addressing the challenge of climate change. One of the drawbacks of wind-generated energy is the large space necessary to install a wind farm; this arises from…

机器学习 · 统计学 2022-04-04 Tinkle Chugh , Endi Ymeraj

Passive device installation on wind turbine generators (WTGs) can potentially improve the power generation of WTGs. Yet, how much impact the installation will make is unclear because conducting controlled experiments is impossible due to…

应用统计 · 统计学 2019-06-14 Hoon Hwangbo , Yu Ding , Daniel Cabezon

Wind turbine wakes negatively impact downwind turbines in wind farms reducing their global efficiency. The reduction of wake-turbine interactions by actuating control on yaw angles and induction factors is an active area of research. In…

流体动力学 · 物理学 2020-08-14 Carlo Cossu

The present research aims to enhance the efficiency of a DTU-10MW Horizontal Axis Wind Turbine (HAWT) via Active Flow Control (AFC) implementation and using Synthetic Jets (SJ). In the initial part of the study the flow around two airfoil…

流体动力学 · 物理学 2024-07-31 Marc Lahoz , Ahmad Nabhani , Mohammad Saemian , Josep M Bergada

Airborne Wind Energy is a lightweight technology that allows power extraction from the wind using airborne devices such as kites and gliders, where the airfoil orientation can be dynamically controlled in order to maximize performance. The…

流体动力学 · 物理学 2022-03-29 N. Orzan , C. Leone , A. Mazzolini , J. Oyero , A. Celani

The reliable integration of wind energy into modern-day electricity systems heavily relies on accurate short-term wind forecasts. We propose a spatio-temporal model called AIRU-WRF (short for the AI-powered Rutgers University Weather…

应用统计 · 统计学 2023-08-31 Feng Ye , Joseph Brodie , Travis Miles , Ahmed Aziz Ezzat

The growth of wind generation capacities in the past decades has shown that wind energy can contribute to the energy transition in many parts of the world. Being highly variable and complex to model, the quantification of the…

信号处理 · 电气工程与系统科学 2022-07-19 Federico Amato , Fabian Guignard , Alina Walch , Nahid Mohajeri , Jean-Louis Scartezzini , Mikhail Kanevski

In this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and Long Short-Term Memory (LSTM) networks. A key innovation…

With the exploitation of wind power, more turbines will be deployed at remote areas possibly with harsh working conditions (e.g., offshore wind farm). The adverse working environment may lead to massive operating and maintenance costs of…

系统与控制 · 电气工程与系统科学 2020-09-24 Hwei-Ming Chung , Sabita Maharjan , Yan Zhang , Frank Eliassen , Tingting Yuan

Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance…

系统与控制 · 电气工程与系统科学 2022-11-03 Z. Feng , Y. Liu , R. Ferrari , J. W. van. Wingerden

Floating offshore wind turbines are a novel technology, which has reached, with the first wind farm in operation, an advanced state of development. The question of how floating wind systems can be optimized to operate smoothly in harsh wind…

计算工程、金融与科学 · 计算机科学 2020-05-28 Frank Lemmer , Wei Yu , Kolja Müller , Po Wen Cheng

Floating wind turbines (FWTs) hold significant potential for the exploitation of offshore renewable energy resources. Nevertheless, prior to the construction of FWTs, it is imperative to tackle several critical challenges, especially the…

系统与控制 · 电气工程与系统科学 2024-06-18 Yingjie Gong , Qinmin Yang , Hua Geng , Wenchao Meng , Lin Wang

Improving the power output from wind farms is vital in transitioning to renewable electricity generation. However, in wind farms, wind turbines often operate in the wake of other turbines, leading to a reduction in the wind speed and the…

流体动力学 · 物理学 2024-07-31 Andrew Mole , Sylvain Laizet

Airborne Wind Energy Systems (AWES) have emerged as a promising renewable energy technology that exploits stronger, more consistent high-altitude winds via tethered airborne devices. Among the various concepts, crosswind systems, where…

最优化与控制 · 数学 2026-05-08 Manuel C. R. M. Fernandes , Fernando A. C. C. Fontes