A conceptual and systematics for intelligent power management system-based cloud computing: Prospects, and challenges

AHA AL-Jumaili, YIA Mashhadany, R Sulaiman… - Applied Sciences, 2021 - mdpi.com
This review describes a cloud-based intelligent power management system that uses
analytics as a control signal and processes balance achievement pointer, and describes …

WAMS-based HVDC damping control for cyber attack defense

K Sun, W Qiu, Y Dong, C Zhang, H Yin… - … on Power Systems, 2022 - ieeexplore.ieee.org
Owing to the fast and large power regulating the capacity of the HVDC system, the wide-
area measurement system (WAMS) based high voltage direct current (HVDC) system has …

Power system wideband oscillation estimation, localization, and mitigation

S An, W Qiu, Q Pu, S Chen, Y Zheng… - IET Generation …, 2023 - Wiley Online Library
With the development of the energy structure of the power system, the characterization of the
observed oscillation in the power system has steadily evolved. With the increasingly high …

[HTML][HTML] Dynamic load balancing method based on optimal complete matching of weighted bipartite graph for simulation tasks in multi-energy system digital twin …

X Tang, Y Ding, J Lei, H Yang, Y Song - Energy Reports, 2022 - Elsevier
As demands of renewable energy and more energy storages in power systems promote, the
digital twin technology for multi-energy system draws attention from the researchers in …

A Fast Density Peak Clustering Method for Power Data Security Detection Based on Local Outlier Factors

Z Lv, L Di, C Chen, B Zhang, N Li - Processes, 2023 - mdpi.com
The basic work of power data research is anomaly detection. It is necessary to find a method
suitable for processing current power system data. Research proposes an algorithm of fast …

Transient event classification using pmu data with deep learning techniques and synthetically supported training‐set

G Gök, Ö Salor… - … Transmission & Distribution, 2023 - Wiley Online Library
This paper presents a research work which focuses on generating synthetic data to enrich
the training‐set of a deep learning (DL) based classification system to classify power system …

Trustworthy cyber-physical power systems using AI: dueling algorithms for PMU anomaly detection and cybersecurity

U Cali, FO Catak, U Halden - Artificial Intelligence Review, 2024 - Springer
Energy systems require radical changes due to the conflicting needs of combating climate
change and meeting rising energy demands. These revolutionary decentralization …

[HTML][HTML] A novel three-phase unbalanced power flow solution for islanded microgrids with distributed generations under droop controls

H Bai, X Tang, Z Yuan, Q Li, S Pan, P Deng, C Zhou… - Energy Reports, 2022 - Elsevier
With the increasing penetration rate of distributed generations (DGs) in the distribution
network, microgrids are widely applied for the benefits of efficiency and flexibility. The …

Automatic modeling and optimization for the digital twin of a regional multi-energy system

H Bai, Z Yuan, X Tang, J Liu, W Yang… - 2022 Power System …, 2022 - ieeexplore.ieee.org
The penetration of renewable energy and multi-type energy increase in distribution system
and traditional distribution system transforms into multi-energy systems. It demands an …

Bad data detection and multi-level classification of events in synchrophasor measurements using AXGBoost algorithm

A Priyadarshi, KB Yadav - Electrical Engineering, 2024 - Springer
The power grid operators collect the data on a smart grid via the phasor measurement unit
(PMU), which is placed at several points on the bus. However, the data at the PMU is prone …