A multi-objective thermal exchange optimization model for solving optimal power flow problems in hybrid power systems

This study addresses the challenges associated with optimal power flow (OPF) management in hybrid power systems incorporating diverse energy sources, particularly focusing on the unpredictability of renewable energy sources (RESs). A novel analytics approach is introduced using Multi-Objective Therm...

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Vydáno v:	Decision analytics journal Ročník 8; s. 100299
Hlavní autoři:	Agrawal, Sunilkumar, Pandya, Sundaram, Jangir, Pradeep, Kalita, Kanak, Chakraborty, Shankar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.09.2023
Témata:	Metaheuristics Multi-objective optimization Optimal power flow Pareto front Physics-based algorithm Renewable energy resources Pareto front Multi-objective optimization Optimal power flow Metaheuristics Physics-based algorithm Renewable energy resources
ISSN:	2772-6622, 2772-6622
On-line přístup:	Získat plný text
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