Overview of smart grid implementation: Frameworks, impact, performance and challenges

MA Judge, A Khan, A Manzoor, HA Khattak - Journal of Energy Storage, 2022 - Elsevier
High consumption and ever-increasing demand for electricity at commercial, residential, and
industrial levels have attracted the research community to look for new technologies for the …

Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions

Z Shi, W Yao, Z Li, L Zeng, Y Zhao, R Zhang, Y Tang… - Applied Energy, 2020 - Elsevier
Smart grid is the new trend for clean, sustainable, efficient and reliable energy generation,
delivery and use. To ensure stable and secure operation is essential for the smart grid …

Review on the research and practice of deep learning and reinforcement learning in smart grids

D Zhang, X Han, C Deng - CSEE Journal of Power and Energy …, 2018 - ieeexplore.ieee.org
Smart grids are the developmental trend of power systems and they have attracted much
attention all over the world. Due to their complexities, and the uncertainty of the smart grid …

Recent and prospective developments in power system control centers: Adapting the digital twin technology for application in power system control centers

C Brosinsky, D Westermann… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The development of power system control centers has always been linked to the evolving of
new technologies and innovative concepts. Switching to IP/TCP-based communication was …

Deep reinforcement learning from demonstrations to assist service restoration in islanded microgrids

Y Du, D Wu - IEEE Transactions on Sustainable Energy, 2022 - ieeexplore.ieee.org
Microgrids can be operated in island mode during utility grid outages to support service
restoration and improve system resilience. To schedule and dispatch distributed energy …

Detecting the location of short-circuit faults in active distribution network using PMU-based state estimation

M Gholami, A Abbaspour… - … on smart grid, 2019 - ieeexplore.ieee.org
With the rapid advancement of phasor measurement units (PMUs) technology, system
operators in different level of power systems have access to new and abundant …

Multiagent systems application for the smart grid protection

AA Shobole, M Wadi - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
The smart power grid blends the bidirectional energy with information flow. Compared to the
traditional power grid, it requires more intelligent and faster control, protection, automation …

(Deep) reinforcement learning for electric power system control and related problems: A short review and perspectives

M Glavic - Annual Reviews in Control, 2019 - Elsevier
This paper reviews existing works on (deep) reinforcement learning considerations in
electric power system control. The works are reviewed as they relate to electric power …

A full decentralized multi-agent service restoration for distribution network with DGs

W Li, Y Li, C Chen, Y Tan, Y Cao… - … on Smart Grid, 2019 - ieeexplore.ieee.org
The ever-growing requirement for reliability and quality of power supply suggests to enable
self-healing features of smart distribution network using intelligent communication and …

A decentralized technique for autonomous service restoration in active radial distribution networks

AA Hafez, WA Omran… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a fully decentralized multi-agent system (MAS) based technique for
service restoration of radial distribution networks. The technique utilizes expert system rules …