A physics-guided graph convolution neural network for optimal power flow
The data-driven method with strong approximation capabilities and high computational
efficiency provides a promising tool for optimal power flow (OPF) calculation with stochastic …
efficiency provides a promising tool for optimal power flow (OPF) calculation with stochastic …
Artificial intelligence applications in electric distribution systems: post-pandemic progress and prospect
S Chung, Y Zhang - Applied Sciences, 2023 - mdpi.com
Advances in machine learning and artificial intelligence (AI) techniques bring new
opportunities to numerous intractable tasks for operation and control in modern electric …
opportunities to numerous intractable tasks for operation and control in modern electric …
[HTML][HTML] Blockchain for secure decentralized energy management of multi-energy system using state machine replication
Decentralized energy management can preserve the privacy of individual energy systems
while mitigating computational and communication burdens. However, most decentralized …
while mitigating computational and communication burdens. However, most decentralized …
A vertical and horizontal crossover sine cosine algorithm with pattern search for optimal power flow in power systems
Most of the energy consumption is now being used to supply human demand for electricity,
which has increased the burden of power system planning to some extent, and thus …
which has increased the burden of power system planning to some extent, and thus …
An efficient power system planning model considering year-round hourly operation simulation
High renewable energy penetration increases the electricity seasonal imbalance in the long-
term timescale. Power system planning needs to consider the optimal configuration of …
term timescale. Power system planning needs to consider the optimal configuration of …
A Review of Safe Reinforcement Learning Methods for Modern Power Systems
Due to the availability of more comprehensive measurement data in modern power systems,
there has been significant interest in developing and applying reinforcement learning (RL) …
there has been significant interest in developing and applying reinforcement learning (RL) …
[HTML][HTML] Stability improvement of the PSS-connected power system network with ensemble machine learning tool
Stability is a primary requirement of the electrical power system for its flawless, secure, and
economical operation. Low-frequency oscillations (LFOs), commonly seen in interconnected …
economical operation. Low-frequency oscillations (LFOs), commonly seen in interconnected …
A tri-level optimal defense method against coordinated cyber-physical attacks considering full substation topology
In recent years, power systems have been facing an increasing risk of malicious attacks. As
modern power systems have a greater reliance on communication and automatic control …
modern power systems have a greater reliance on communication and automatic control …
Economic-environmental convex network-constrained decision-making for integrated multi-energy distribution systems under electrified transportation fleets
Considering the high penetration rates of electrified transportation fleets, their impact on the
integrated thermal/electrical/natural-gas multi-energy distribution systems (IMEDS) will be …
integrated thermal/electrical/natural-gas multi-energy distribution systems (IMEDS) will be …
A tractable linearization-based approximated solution methodology to stochastic multi-period AC security-constrained optimal power flow
MI Alizadeh, F Capitanescu - IEEE Transactions on Power …, 2022 - ieeexplore.ieee.org
The growing presence of renewable energy sources (RES), energy storage systems (ESSs)
and flexible loads (FLs) in power systems necessitates a new approach to N-1 security in …
and flexible loads (FLs) in power systems necessitates a new approach to N-1 security in …