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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Veröffentlicht in:	Decision analytics journal Jg. 8; S. 100299
Hauptverfasser:	Agrawal, Sunilkumar, Pandya, Sundaram, Jangir, Pradeep, Kalita, Kanak, Chakraborty, Shankar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.09.2023
Schlagworte:	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
Online-Zugang:	Volltext
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