This paper concerns with the emerging power system stability issues, classification, and
research prospects under a high share of renewables and power electronics. The decades …

Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …

A new predictive frequency management system is designed for multi-area microgrids
(MGs). The uncertainties are online modeled by a deep learned type-2 (T2) fuzzy-logic …

Nanofluids have recently been utilized in experimental studies to enhance the performance
of flat plate solar collectors (FPSC). The reported results for the nanofluids' effect on this …

The uncertainties regarding the generations and key electromechanical parameters due to
the high penetration of renewable energy bring significant challenges to frequency control …

In this paper, a novel deep reinforcement learning (DRL) algorithm is proposed for the
coordination of controllers in a multi-source hybrid power system (HPS) for load frequency …

Digitalization is one of the main ways for enterprise growth in the digital economy era.
However, the existing literature on digital technology application models and their impact on …

This paper addresses the problem of frequency stability prediction (FSP) following active
power disturbances in power systems by proposing a vision transformer (ViT) method that …

The virtual synchronous generator (VSG) is an important concept and primary control
method in modern power systems. The penetration of power-electronics-based distributed …

High-voltage direct current (HVDC) transmission systems are widely employed to transmit
energy among systems with renewable energy integrated. However, the reduced system …