A proposed fault identification-based fuzzy approach for active distribution networks with photovoltaic systems

MI Zaki, RA El Sehiemy, TF Megahed, T Asano… - Measurement, 2023 - Elsevier
Recently, the issue of protection in active distribution networks has been greater than before
due to mushrooming use of photovoltaic (PV) generation units. PV systems coupled to …

Spatiotemporal Deep Learning for Power System Applications: A Survey

M Saffari, M Khodayar - IEEE Access, 2024 - ieeexplore.ieee.org
Understanding spatiotemporal correlations in power systems is crucial for maintaining grid
stability, reliability, and efficiency. By discerning connections between spatial and temporal …

Pseudo-metric modelling of distribution network state estimation based on CNN-BiLSTM network and customized HGGA algorithm

R Qiu, J Ding, Z Zhang, P Han, H Wu, J Wu - Measurement, 2024 - Elsevier
To address the insufficient configuration of real-time measurement devices in distribution
networks, a state estimation method for distribution networks is proposed. First, both …

Multi-Agent Reinforcement Learning for Power System Operation and Control

A Jain, J Sridevi, U Dabral, A Malhotra… - E3S Web of …, 2024 - e3s-conferences.org
This study investigates the use of Multi-Agent Reinforcement Learning (MARL) to enhance
the efficiency of power system operation and control. The simulated power system …