K-means and alternative clustering methods in modern power systems
As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …
and electric vehicles, the complexity of managing these systems increases. With the …
Quantum computing in power systems
Electric power systems provide the backbone of modern industrial societies. Enabling
scalable grid analytics is the keystone to successfully operating large transmission and …
scalable grid analytics is the keystone to successfully operating large transmission and …
Optimal allocation of renewable sources and energy storage systems in partitioned power networks to create supply-sufficient areas
MZ Oskouei, B Mohammadi-Ivatloo… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Given the increasing complexity and scale of power networks, the probability of system
collapse has dramatically increased during natural disasters and malicious cyber attacks …
collapse has dramatically increased during natural disasters and malicious cyber attacks …
A two-stage flexibility-oriented stochastic energy management strategy for multi-microgrids considering interaction with gas grid
F Kamrani, S Fattaheian-Dehkordi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Introduction of renewable energy sources (RESs) and independently operated multi-
microgrid (MMG) systems have led to new issues in the management of power systems. In …
microgrid (MMG) systems have led to new issues in the management of power systems. In …
AI-enabled traveling wave protection for microgrids
Grid forming inverters provide voltage and frequency regulations for microgrids; in the
meantime, new challenges are introduced for microgrid protections. For instance, inverters' …
meantime, new challenges are introduced for microgrid protections. For instance, inverters' …
Programmable quantum networked microgrids
Quantum key distribution (QKD) provides a potent solution to securely distribute keys for two
parties. However, QKD itself is vulnerable to denial of service (DoS) attacks. A flexible and …
parties. However, QKD itself is vulnerable to denial of service (DoS) attacks. A flexible and …
Optimal modification of peak-valley period under multiple time-of-use schemes based on dynamic load point method considering reliability
H Yang, Y Gao, Y Ma, D Zhang - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
Time-of-use (TOU) is an effective price-based demand response strategy. A reasonable
design of TOU strategy can effectively reduce the peak-valley difference, and then produce a …
design of TOU strategy can effectively reduce the peak-valley difference, and then produce a …
Enabling cyberattack-resilient load forecasting through adversarial machine learning
Developing cyberattack-resilient load forecasting is critical for electric utilities in the face of
increasingly broad cyberattack surfaces. It is, however, a challenging task due to the …
increasingly broad cyberattack surfaces. It is, however, a challenging task due to the …
Flexibility enhancement of renewable-penetrated power systems coordinating energy storage deployment and deep peak regulation of thermal generators
S Yan, Y Zhang, W Yin, B Li, J Ye, Y Wu… - Electric Power Systems …, 2024 - Elsevier
Higher proportions of renewable energy are one of the most prominent features of future
power systems. However, renewable energy, such as wind and PV power generation, is …
power systems. However, renewable energy, such as wind and PV power generation, is …
Resiliency of forecasting methods in different application areas of smart grids: A review and future prospects
The cyber–physical infrastructure of a smart grid requires data-dependent artificial
intelligence (AI)-based forecasting schemes for predicting different aspects for the short-to …
intelligence (AI)-based forecasting schemes for predicting different aspects for the short-to …