Institute of Electrodynamics

Intelligent adaptive energy management framework for hybrid solar-grid EV fast-charging stations with energy storage and time-based demand response optimization

The rapid expansion of electric vehicle (EVs) is significantly increasing pressure on the conventional electrical grid and introducing new challenges in load management, peak demand, and grid stability. Conventional grid systems, dependent on fossil fuel-based generation, contrib...

Physics-guided attention neural network for interpretable and robust photovoltaic fault classification with strict external validation

Accurate and interpretable fault diagnosis in photovoltaic (PV) systems is essential for improving operational reliability and reducing energy losses. This study proposes a Physics-Guided Attention Neural Network (PGANN) for three-class PV fault classification, including Open-cir...

A comprehensive review of U.S. wholesale electricity markets: Structure, challenges, geopolitical tensions, current trends and future directions

Restructuring has transformed the United States (U.S.) electricity sector from cost-based, vertically integrated monopolies to competitive Wholesale Electricity Markets (WEMs), marking one of the major shifts in the modern energy industry. Independent System Operators and Regiona...

An EV-Assisted Dual T-Type Inverter SAPF with Model Predictive Control for Advanced Power Quality Enhancement

In order to improve power quality in low-voltage distribution networks with nonlinear, distorted, and unbalanced loads, this research suggests an innovative design for Shunt Active Power Filters (SAPFs). Compared to conventional single-inverter SAPF structures, the improved metho...