The power grid is undergoing a transformation from synchronous generators (SGs) toward
inverter-based resources (IBRs). The stochasticity, asynchronicity, and limited-inertia …

This paper presents a novel approach to solve the Probabilistic Optimal Power Flow (POPF)
problem using the Enhanced Walrus Optimization (EWO) Algorithm. The proposed EWO is …

Artificial intelligence (AI) in renewable energy technologies plays a crucial part due to its
modeling and performance forecasting. Therefore, a novel AI-based evolving generative …

In this paper, the real-time energy trading problem between the energy provider and the
consumers in a smart grid system is studied. The problem is formulated as a hierarchical …

This paper investigates the anomaly-resistant decentralized state estimation (SE) problem
for a class of wide-area power systems which are divided into several non-overlapping …

An important challenge in the online convex optimization (OCO) setting is to incorporate
generalized inequalities and time-varying constraints. The inclusion of constraints in OCO …

Battery swapping–charging system (BSCS) is a promising operating paradigm to provide
centering charging and battery swapping service for electric vehicles in transportation …

This paper studies the long-term energy management of a microgrid coordinating hybrid
hydrogen-battery energy storage. We develop an approximate semi-empirical hydrogen …

Recent advancements in Ising machines, both via quantum and quantum-inspired
annealing, have shown promising results in solving difficult optimization problems. Owing to …

Integrated energy system (IES) has been widely used in the field of energy supply due to the
high efficiency of energy utilization. However, its economic operation is challenged by …