Frequency support Scheme based on parametrized power curve for de-loaded Wind Turbine under various wind speed [PDF]
Wind Engineering 46 (2022) 459-479, 2021 With increased wind power penetration in modern power systems, wind plants are required to provide frequency support similar to conventional plants. However, for the existing frequency regulation scheme of wind turbines, the control gains in the auxiliary frequency controller are difficult to set because of the compromise of the frequency regulation ...
arxiv +1 more source
Complexity Analysis of Wind Energy, Wind Speed and Wind Direction in the light of nonlinear technique [PDF]
arXiv, 2022 Wind energy has an inherent intermittent character due to certain inevitable factors of nature, such as availability of wind at different weather conditions, wind direction etc. To study the intermittent character of wind energy, its daily data along with the two other important quantities, wind speed and wind direction measured in a "showcase" wind ...
arxiv
Wind Power Variability and Singular Events (Chapter 12. Wind Power) [PDF]
, 2020 Examples of the different events affecting wind power fluctuations are shown.The behaviors and the responses of the Spanish power system and wind power plants experiencing such events were analyzed. Examples presented in this chapter show that some of the wind power integration issues are related to low-voltage ride-through.
arxiv +1 more source
Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization [PDF]
arXiv, 2023 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 multi-agent deep reinforcement learning large-scale wind farm multivariate control is proposed to handle this ...
arxiv
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential [PDF]
, 2021 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 spatio-temporal variation of wind power and the related uncertainty is highly relevant for energy planners. Machine Learning has
arxiv +1 more source
Wind Power Projection using Weather Forecasts by Novel Deep Neural Networks [PDF]
arXiv, 2021 The transition from conventional methods of energy production to renewable energy production necessitates better prediction models of the upcoming supply of renewable energy. In wind power production, error in forecasting production is impossible to negate owing to the intermittence of wind.
arxiv
Performance Comparison of Different Machine Learning Algorithms on the Prediction of Wind Turbine Power Generation [PDF]
, 2021 Over the past decade, wind energy has gained more attention in the world. However, owing to its indirectness and volatility properties, wind power penetration has increased the difficulty and complexity in dispatching and planning of electric power systems. Therefore, it is needed to make the high-precision wind power prediction in order to balance the
arxiv +1 more source
Wind Power Transmission System Integration -- a Case Study of China Wind Power Base [PDF]
arXiv, 2020 Due to a series of supporting policies in recent years, China wind power has developed rapidly through a large-scale and centralized mode. This paper analyzes the two major concerns faced by wind power development in China: wind generation reliability and wind energy balancing.
arxiv
A Directional Monitoring Approach of Sequential Incomplete Wind Power Curves with Copula-based Variational Inference [PDF]
arXiv, 2023 Wind turbines often work under complex conditions which result in performance degradation. Accurate performance degradation monitoring is essential to ensure the reliable operation of wind turbines and reduce the maintenance costs. Wind turbine power curve monitoring is an effective way to detect performance degradation.
arxiv
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022 [PDF]
arXiv, 2022 The variability of wind power supply can present substantial challenges to incorporating wind power into a grid system. Thus, Wind Power Forecasting (WPF) has been widely recognized as one of the most critical issues in wind power integration and operation.
arxiv