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相关论文: Expert Elicitation on Wind Farm Control

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The increasing rate of penetration of non-conventional renewable energies is affecting the traditional assumption of controllability over energy sources. Power dispatching scheduling methods need to integrate the intrinsic randomness of…

信号处理 · 电气工程与系统科学 2018-05-14 Claudio Risso , Gustavo Guerberoff

This work presents a combined feedforward-feedback wake redirection framework for wind farm control. The FLORIS wake model, a control-oriented steady-state wake model is used to calculate optimal yaw angles for a given wind farm layout and…

系统与控制 · 电气工程与系统科学 2021-04-23 Steffen Raach , Bart Doekemeijer , Sjoerd Boersma , Jan-Willem van Wingerden , Po Wen Cheng

The growing demand for offshore wind energy has led to a significant increase in wind turbine size and to the development of large-scale wind farms, often comprising 100 to 150 turbines. However, the environmental impact of underwater noise…

大气与海洋物理 · 物理学 2025-03-11 Laura Botero Bolívar , Oscar A. Marino Sńchez , Martín de Frutos , Esteban Ferrer

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

Floating offshore wind turbines allow wind energy to be harvested in deep waters. However, additional dynamics and structural loads may result when the floating platform is being excited by wind and waves. In this work, the conventional…

系统与控制 · 电气工程与系统科学 2020-12-30 Mees Al , Alessandro Fontanella , Daan van der Hoek , Yichao Liu , Marco Belloli , Jan-Willem van Wingerden

NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and innovation in wind energy. The core mission is to reduce…

Active wake control (AWC) has emerged as a promising strategy for enhancing wind turbine wake recovery, but accurately modelling its underlying fluid mechanisms remains challenging. This study presents a computationally efficient wake model…

流体动力学 · 物理学 2025-06-25 Zhaobin Li , Xiaolei Yang

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

Understanding wind turbine wake mixing and recovery is critical for improving the power generation and structural stability of downwind turbines in a wind farm. In the field, where incoming flow and turbine operation are constantly…

流体动力学 · 物理学 2019-05-09 Aliza Abraham , Jiarong Hong

Traditionally, inertia in power systems has been determined by considering all the rotating masses directly connected to the grid. During the last decade, the integration of renewable energy sources, mainly photovoltaic installations and…

系统与控制 · 电气工程与系统科学 2020-05-06 Ana Fernández-Guillamón , Emilio Gómez-Lázaro , Eduard Muljadi , Angel Molina-García

Most wind farms consist of horizontal axis wind turbines (HAWTs) due to the high power coefficient (mechanical power output divided by the power of the free-stream air through the turbine cross-sectional area) of an isolated turbine.…

流体动力学 · 物理学 2015-05-18 Robert W. Whittlesey , Sebastian Liska , John O. Dabiri

The wake effect is one of the leading causes of energy losses in offshore wind farms (WFs). Both turbine placement and cooperative control can influence the wake interactions inside the WF and thus the overall WF power production.…

最优化与控制 · 数学 2021-12-01 Kaixuan Chen , Jin Lin , Yiwei Qiu , Feng Liu , Yonghua Song

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 is becoming an increasingly significant source of energy in modern power generation. Amongst existing technologies, Variable Speed Wind Turbines (VSWT) equipped with Double Fed Induction Generators (DFIG) is widely deployed.…

系统与控制 · 计算机科学 2015-02-03 Charalambos Konstantinou

Wind power is becoming an increasingly important source of renewable energy worldwide. However, wind farm power control faces significant challenges due to the high system complexity inherent in these farms. A novel communication-based…

系统与控制 · 电气工程与系统科学 2023-05-18 Yubao Zhang , Xin Chen , Sumei Gong , Haojie Chen

Climate change has become a major problem for humanity in the last two decades. One of the reasons that caused it, is our daily energy waste. People consume electricity in order to use home/work appliances and devices and also reach certain…

计算机与社会 · 计算机科学 2022-06-08 Stavros Mischos , Eleanna Dalagdi , Dimitris Vrakas

There is an ongoing trend of reduction in short circuit power at the grid connection point due to decommissioning of synchronous generation plants causing system strength issues in wind power plants. Whereas wind power plant rating and…

系统与控制 · 电气工程与系统科学 2021-10-05 Kanakesh Vatta Kkuni , Guangya Yang , Thyge Knueppel

To provide automatic generation control (AGC) service, wind farms (WFs) are required to control their operation dynamically to track the time-varying power reference. Wake effects impose significant aerodynamic interactions among turbines,…

最优化与控制 · 数学 2021-08-25 Kaixuan Chen , Jin Lin , Yiwei Qiu , Feng Liu , Yonghua Song

The intentional yaw misalignment of leading, upwind turbines in a wind farm, termed wake steering, has demonstrated potential as a collective control approach for wind farm power maximization. The optimal control strategy, and resulting…

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…