The primary objective of Economic Load Dispatch (ELD) is to determine the most efficient
distribution of power among generating units while considering various constraints, such as …

The aim of the optimization economic load dispatch (ELD) problem is to assign the optimal
generated power of the thermal units for cost reduction with satisfying the loading of the …

This article proposes a new effective technique, named eagle-strategy supply–demand
based optimization algorithm with chaotic (ESCSDO), for achieving global solutions to …

To solve economic dispatch (ED) with nonconvex nonlinear generation cost functions, this
paper adopts a global optimization technique where piecewise linear approximation (PLA) …

The Growth Optimizer algorithm (GO) is a novel metaheuristic that draws inspiration from
people's learning and introspection processes as they progress through society. Economic …

Nowadays, optimization techniques are required in various engineering domains to find
optimal solutions for complex problems. As a result, there is a growing tendency among …

This work implements the recently developed n th state Markovian jum** particle swarm
optimisation (PSO) algorithm with local search (NS-MJPSO loc) awareness method to …

The multiverse optimizer (MVO) is increasingly recognized across various scientific
disciplines for its robust search capabilities that enhance decision‐making in diverse tasks …

Ensuring the resilience and security of Smart Grid (SG) infrastructure is critical for
sustainable energy management. This paper proposes a new probabilistic approach for …

Electricity market operators should solve multi-area economic dispatch (MAED) in shorter
periods because of increasing net load variation from fluctuating renewables and demands …