This paper addresses the escalating need for low-carbon solutions and discusses the
integrated control system for the electric-hydrogen DC microgrids. A multi-time scale control …

The results of the first transformer load obtained using the FNN neural network in Fig. 5
determined on the basis of the algorithm described in Fig. 4 show that if the dynamics of …

In 2022, the global electricity consumption was 4,027 billion kWh, steadily increasing over
the previous fifty years. Microgrids are required to integrate distributed energy sources …

In recent years, extreme focus on renewable energy has intensified due to environmental
concerns and the depletion of fossil fuel supplies. In a DC microgrid that includes AC grid …

The revolution of microgrids (MGs) in the modern world has impacted the power systems to
deal with the loads with optimal use of renewable energy resources (RERs). In the models …

This research investigates implementing and optimizing microgrid energy management
systems (EMS) utilizing artificial intelligence (AI). Inspired by the need for efficient resource …

Grid-interactive microgrids have become a promising alternative to traditional centralized
power systems as a result of the rising demand for reliable and sustainable energy …

This work presents an energy management scheme (EMS) based on a rule-based
grasshopper optimization algorithm (RB-GOA) for a solar-powered battery-ultracapacitor …

This study focuses on optimizing hybrid energy storage systems for improved energy
management in power networks. Combining batteries and supercapacitors, these systems …

Abstract DC microgrid (DC μ G) is becoming popular for niche applications due to multiple
advantages over AC microgrids (μ G). However, operation of a DC μ G is challenging due to …