A review on data-driven security assessment of power systems: Trends and applications of artificial intelligence
Boosting the complexity of the electricity network, penetration of renewable resources, and
modernization of power systems has resulted in an increase in the complexity of the power …
modernization of power systems has resulted in an increase in the complexity of the power …
A review of machine learning approaches in synchrophasor technology
As power systems (PS) move toward smart grids and microgrids in modern times, complexity
eventually rises as a result of integration with various distributed energy resources, demand …
eventually rises as a result of integration with various distributed energy resources, demand …
Online false data injection attack detection with wavelet transform and deep neural networks
State estimation is critical to the operation and control of modern power systems. However,
many cyber-attacks, such as false data injection attacks, can circumvent conventional …
many cyber-attacks, such as false data injection attacks, can circumvent conventional …
Intelligent time-adaptive transient stability assessment system
Online identification of postcontingency transient stability is essential in power system
control, as it facilitates the grid operator to decide and coordinate system failure correction …
control, as it facilitates the grid operator to decide and coordinate system failure correction …
A fully data-driven method based on generative adversarial networks for power system dynamic security assessment with missing data
This paper proposes a fully data-driven approach for PMU-based pre-fault dynamic security
assessment (DSA) with incomplete data measurements. The generative adversarial network …
assessment (DSA) with incomplete data measurements. The generative adversarial network …
Review of load forecasting based on artificial intelligence methodologies, models, and challenges
H Hou, C Liu, Q Wang, X Wu, J Tang, Y Shi… - Electric Power Systems …, 2022 - Elsevier
Accurate load forecasting can efficiently reduce the day-ahead dispatch stress of power
system or microgrid. The overview of load forecasting based on artificial intelligence models …
system or microgrid. The overview of load forecasting based on artificial intelligence models …
Synchrophasor measurement technology in power systems: Panorama and state-of-the-art
Phasor measurement units (PMUs) are rapidly being deployed in electric power networks
across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and …
across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and …
A hierarchical self-adaptive data-analytics method for real-time power system short-term voltage stability assessment
As one of the most complex and largest dynamic industrial systems, a modern power grid
envisages the wide-area measurement protection and control (WAMPAC) system as the grid …
envisages the wide-area measurement protection and control (WAMPAC) system as the grid …
Robust online dynamic security assessment using adaptive ensemble decision-tree learning
Online dynamic security assessment (DSA) is examined in a data-mining framework by
taking into account the operating condition (OC) variations and possible topology changes …
taking into account the operating condition (OC) variations and possible topology changes …
Online identification of power system dynamic signature using PMU measurements and data mining
T Guo, JV Milanović - IEEE Transactions on Power Systems, 2015 - ieeexplore.ieee.org
This paper proposes a two-stage methodology for online identification of power system
dynamic signature using phasor measurement unit (PMU) measurements and data mining …
dynamic signature using phasor measurement unit (PMU) measurements and data mining …