Increased penetration of renewable energy sources (RESs) in power system networks
poses several challenges in system planning and management due to their uncertain and …

The deregulation of the electricity market has been accompanied by the growing utilization
of unpredictable renewable energy sources (RESs) such as solar, wind, and hydropower …

The optimal power flow is one of the major area in economic and efficient dispatch of electric
power. This research article presents a swarm-based optimization algorithm, known as …

The present study merges the teaching and learning algorithm (TLBO) and turbulent flow of
water optimization (TFWO) to propose the hybrid TLTFWO. The main purpose is to provide …

This paper presents a novel approach, the Gaussian Mixture Method-enhanced Cuckoo
Optimization Algorithm (GMMCOA), designed to optimize power flow decision parameters …

Grid resilience, defined as a power system's ability to endure and rebound from adverse
events, assumes paramount importance in today's ever-changing world. Conventional …

By considering a variety of objective functions, this paper has created an evolutionary
method that is both effective and reliable for resolving the problem of multi-constraint optimal …

Optimization is a vital practice to achieve the best possible outcomes by modeling systems
to meet management and technical requirements. However, traditional optimization …

This research paper investigates the critical need to improve power system resilience
through a comprehensive strategy that combines contingency-based load flow analysis and …

In recent years, the integration of renewable energy generation into microgrids has
significantly increased. This trend highlights the critical need to optimize power generation …