Vai al contenuto principale della pagina

Metaheuristic Optimization in Power Engineering : Distribution Systems Using MATLAB®-Based Software, Volume 2



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Radosavljević Jordan Visualizza persona
Titolo: Metaheuristic Optimization in Power Engineering : Distribution Systems Using MATLAB®-Based Software, Volume 2 Visualizza cluster
Pubblicazione: Stevenage : , : Institution of Engineering & Technology, , 2024
©2024
Edizione: 2nd ed.
Descrizione fisica: 1 online resource (254 pages)
Disciplina: 621.042015196
Soggetto topico: Electric power distribution
Heuristic algorithms
Nota di contenuto: Cover -- Title -- Copyright -- Contents -- Excerpt from the preface to the 1st edition (2018) -- Preface to the 2nd edition (2024) -- About the author -- 1 Power flow calculation in distribution networks -- 1.1 Introduction -- 1.2 Power flow calculation in balanced DNs -- 1.2.1 DG units treatment -- 1.3 Power flow calculation in unbalanced DNs -- 1.3.1 Line modeling -- 1.3.2 Transformer modeling -- 1.3.3 Load modeling -- 1.3.4 Backward/forward power flow algorithm for unbalanced DNs -- 1.4 MATLAB® programs -- 1.4.1 Power flow program for balanced DNs -- 1.4.2 Power flow program for unbalanced DNs -- 1.5 Conclusion -- References -- 2 Optimal power flow in distribution networks -- 2.1 Introduction -- 2.2 Deterministic OPF -- 2.2.1 Objective function -- 2.2.2 Constraints -- 2.3 DG units modeling for OPF -- 2.3.1 Diesel generator -- 2.3.2 Fuel cell -- 2.3.3 Microturbine
Sommario/riassunto: A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.
Titolo autorizzato: Metaheuristic Optimization in Power Engineering  Visualizza cluster
ISBN: 1-83724-379-4
1-5231-6290-2
1-83724-132-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911006706203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Energy Engineering Series