A comprehensive review of soft computing algorithms for optimal generation scheduling

PR Lolla, SK Rangu… - … Journal of Energy …, 2021 - Wiley Online Library
Strategic planning for optimal operation of modern power systems has always been a
significant task to satisfy the techno‐social aspects in the sustainable energy scenario. In the …

Optimization of active power dispatch considering unified power flow controller: application of evolutionary algorithms in a fuzzy framework

E Naderi, L Mirzaei, M Pourakbari-Kasmaei… - Evolutionary …, 2024 - Springer
This paper presents an optimal active power dispatch (OAPD) problem that, unlike common
economic dispatch problems, precludes unwanted mismatches on realistic power systems …

Efficient economic operation based on load dispatch of power systems using a leader white shark optimization algorithm

MH Hassan, S Kamel, A Selim, A Shaheen, J Yu… - Neural Computing and …, 2024 - Springer
This article proposes the use of a leader white shark optimizer (LWSO) with the aim of
improving the exploitation of the conventional white shark optimizer (WSO) and solving the …

Advanced forecast and scheduling of power systems with highly variable sources

PMN da Fonte - 2015 - search.proquest.com
Abstract operation. With this management it is intended to feed the load ensuring the
generation/consumption equilibrium in a most economical way, simultaneously respecting …

Despacho económico de unidades com funções de custo não convexas usando enxames

JCB Pontes - 2014 - repositorio.ipl.pt
Nesta dissertação, o problema de despacho económico é estudado, especificamente a sua
optimização através de métodos convencionais, ie métodos com base no gradiente e …

Solving non-Convex and Restricted Problems Using Swarms–Economic Dispatch Case

J Pontes, PM Fonte, R Pestana - Procedia Technology, 2014 - Elsevier
In this paper three heuristic techniques based in swarm intelligence are studied, namely its
ability to solve non-convex, non-differentiable and highly restricted optimization problems …