The slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the
oscillatory behavior of slime moulds during foraging. Numerous researchers have widely …

In this study, a new meta-heuristic optimization method inspired by the behavioral choices of
animals and hunger-driven activities, called hunger games search (HGS), is suggested to …

In this paper, the multi-objective optimal power flow (MOOPF) problem optimization
objectives focus on four optimization objectives: generation cost, emission, real power loss …

The evolution of technology and the internet has accelerated the pace of communication
and information exchange. Despite technological advancements, the significant weakness …

The fundamental objective of a modern power system lies in ensuring reliable and effective
energy access for its customers. The assessment and determination of optimal operating …

Zero-carbon energy infrastructure design has become one of the most consequential pivotal
toward sustainable development. This article introduces a novel approach to energy …

This article develops two metaheuristics optimization techniques, Grey Wolf Optimizer
(GWO) and Harris Hawks Optimization (HHO), to handle multi-objective optimal power flow …

In power system, the optimal power flow (OPF) is one of the main significant issues that
should be solved to achieve the optimal operation, planning, and energy management …

Given the difficulty of accurately setting multiple control parameters in wind turbines, a
design method for a pitch controller considering tower load reduction is proposed, which …

One of the most important issues in power systems that should be considered for the best
planning, operation, and energy management is optimal power flow (OPF). Numerous …