Solving constrained optimal power flow with renewables using hybrid modified imperialist competitive algorithm and sequential quadratic programming

•Proposed a novel Hybrid Modified Imperialist Competitive Algorithm and Sequential Quadratic Programming.•Studied the uncertainties of solar power and wind energy.•Solved different OPF problems including wind and solar generators.•A comparative study proved the effectiveness of the HMICA-SQP in prov...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Electric power systems research Jg. 177; S. 105989
Hauptverfasser:	Ben Hmida, Jalel, Chambers, Terrence, Lee, Jim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.12.2019 Elsevier Science Ltd
Schlagworte:	Algorithms Alternative energy sources Computer simulation Constraints Electric power Electric power systems Electric power transmission Evolutionary algorithms Heuristic methods Hybrid systems Mica Multiobjective optimization Optimal power flow Optimization Power flow Quadratic programming Renewable energy sources Security constraints Solar energy Solar power Wind energy Wind power Solar power Security constraints Wind energy Optimal power flow Multiobjective optimization
ISSN:	0378-7796, 1873-2046
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!