The topic of microgrids (MGs) is a fast-growing and very promising field of research in terms
of energy production quality, pollution reduction and sustainable development. Moreover …

With an elevating demand and use of power electronics equipment, green energy and the
development of smart grids, power quality disturbance detection and classification holds …

In this paper, a sequence-to-sequence deep learning architecture based on the bidirectional
gated recurrent unit (Bi-GRU) for type recognition and time location of combined power …

Accurate power quality disturbance (PQD) classification is significantly important for power
grid pollution control. However, the use of nonlinear loads makes power system signals …

Nowadays, the main grid is facing several challenges related to the integration of renewable
energy resources, deployment of grid-level energy storage devices, deployment of new …

Several factors affect existing electric power systems and negatively impact power quality
(PQ): the high penetration of renewable and distributed sources that are based on power …

There are many features that have been taken into consideration for wind power forecasting.
Since properly ranking these relevant features, often redundant, can be quite difficult, highly …

This paper proposes a method for characterizing voltage dips based on the space phasor
model of the three phase-to-neutral voltages, instead of the individual voltages. This has …

基于改进Kaiser 窗快速S 变换和LightGBM 的电能质量扰动识别与分类新方法 Page 1 第41 卷第24
期 中国电机工程学报 Vol.41 No.24 Dec. 20, 2021 8372 2021 年12 月20 日 Proceedings of the …

In the presence of nonlinear loads and various disturbances, harmonics and dc bias may
corrupt the grid voltage signal leading to distorted grid. Frequency estimation of distorted …