Historically, centrally computed algorithms have been the primary means of power system optimization and control. With increasing penetrations of distributed energy resources …
J Wang, W Xu, Y Gu, W Song… - Advances in Neural …, 2021 - proceedings.neurips.cc
This paper presents a problem in power networks that creates an exciting and yet challenging real-world scenario for application of multi-agent reinforcement learning …
Y Khayat, Q Shafiee, R Heydari… - … on Power Electronics, 2019 - ieeexplore.ieee.org
Communication infrastructure (CI) in microgrids (MGs) allows for the application of different control architectures for the secondary control (SC) layer. The use of new SC architectures …
In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, the voltage control for accommodating wind …
Several potential benefits to the quality and reliability of delivered power can be attained with the installation of distributed generation units. To take full advantage of these benefits, it …
Energy crisis and environmental issues have encouraged the adoption of electric vehicle as an alternative transportation option to the conventional internal combustion engine vehicle …
The objective of this paper is to provide a review of distributed control and management strategies for the next generation power system in the context of microgrids. This paper also …
N Mahmud, A Zahedi - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Integration of renewable energy sources (RES) into traditional power system is one of the most viable technologies to meet the ever increasing energy demand efficiently. But, this …