The multiple uncertainties in a microgrid, such as limited photovoltaic generations, ups and
downs in the market price, and controlling different loads, are challenging points in …

Risk management is a fundamental approach to improving critical infrastructure systems'
safety against disruptive events. This approach focuses on designing robust critical …

A domain-enriched optimization algorithm is developed to enhance the dynamic resilience
of islanded microgrids, with a specific emphasis on improving small-signal stability. A novel …

There are types of events called events with high effect and low probability, which have a
significant impact on network performance. These types of events are divided into two …

During a grid outage, microgrids can benefit from energy resources that enhance the
reliability and resiliency of serving critical loads and overall protection. The present study …

In multi energy microgrids with renewable energy sources, the significance of consideration
of the gas supply network and efficient interaction between various energy carriers has been …

In this paper, novel multi-objective microgrids (MGs) formation method-based darts game
theory optimization algorithm is proposed. The main objectives are to minimize the total …

Remote island communities often struggle to meet energy needs affordably, sustainably,
and reliably. Island microgrid (IM) systems offer a promising solution; however, optimal …

As many countries increase their investment in the field of renewable energy, technological
research and development has increased on establishing biogas–solar–wind battery …

The application of Machine Learning (ML) in healthcare has opened unprecedented
avenues for predictive analytics, diagnostics, and personalized medicine. However, the …