The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …

With large-scale integration of renewable generation and distributed energy resources,
modern power systems are confronted with new operational challenges, such as growing …

This paper presents a comprehensive literature review and an up-to-date bibliography on
automatic generation control (AGC)/load frequency control (LFC) of interconnected power …

With large-scale integration of renewable generation and distributed energy resources
(DERs), modern power systems are confronted with new operational challenges, such as …

The widespread penetration of inverter-based resources has profoundly impacted the
electrical stability of power systems (PSs). Deepening grid integration of photovoltaic and …

Environmental and energy security concerns lead to the continuous displacement of
traditional fossil fuel-based power generation to power electronics interfaced distributed …

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 …

This paper focuses on the distributed resource allocation problem of a second-order multi-
agent system with external disturbances. The global network resource equality constraint is …

With the application of renewable energy and distributed power generation in micro-grids,
conventional artificial intelligent control strategies have shown deficiencies for the frequency …

In this paper, we propose a deep reinforcement learning (DRL) method to control the
assistance level of an upper-limb exoskeleton in real-time based on the electromyo-graphic …