随着可再生能源的大规模开发, 以风能为代表的可再生能源大量并入电网, 且渗透率不断提高.
一方面, 由于惯性时间常数较小的风电机组替代了传统发电机组, 系统的总体惯量减少; …

In this paper, we present a proof-of-concept distributed reinforcement learning framework for
wind farm energy capture maximization. The algorithm we propose uses Q-Learning in a …

As the wind power penetration increases, wind farms are required by the grid codes to
provide frequency regulation services. This article develops a fully data-driven model …

Grid-connected microgrids pose a risk of unsuccessful transition to islanded operation due
to unintentional islanding. The success of this transition is influenced by different factors …

In the past 20 years' power demand has been increased drastically and it requires
significant research attention to find the alternative green and sustainable energy sources …

The quality of power and current control are the greatest challenges of grid-connected wind
farms during abnormal conditions. The negative-and positive-sequence components of the …

As wind power penetration increases, the wind farms are required by newly released grid
codes to provide frequency regulation service. The most critical challenge is how to …

In this thesis, we present a distributed reinforcement learning framework for wind farm
energy capture maximization using yaw control, also known as wake steering. Specifically …

Güç sistemlerinde fotovoltaik (FV) santrallerin entegrasyonu gün geçtikçe artmaktadır. Bu
artan entegrasyon sebebiyle PV santrallerin yüksek penetrasyon seviyesinde güç sistemine …

By development of the power system in presence of the sustainable energies, the issue of
grid frequency control is becoming more important. In traditional power systems, the …