A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability and uncertainty

In this study, stochastic multi-objective allocation of wind turbines (WTs) in radial distribution networks is performed using a new multi-objective improved horse herd optimizer (MOIHHO) and an unscented transformation (UT) method for modeling the uncertainties of WTs power and network load. The ob...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 29532 - 31
Hauptverfasser:	Duan, Fude, Basem, Ali, Jasim, Dheyaa J., Eslami, Mahdiyeh, Okati, Mustafa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 27.11.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166/4073/4071 639/166/4073/4099 639/166/987 639/4077 639/4077/4073 639/4077/4079 639/4077/4082 639/4077/893 639/4077/909 Convex lens imaging Decision making Distribution network Energy resources Energy sources Humanities and Social Sciences Multi-objective improved horse herd optimizer multidisciplinary Objective function Optimization Reliability Science Science (multidisciplinary) Turbines Unscented transformation Wind power Wind turbine allocation Convex lens imaging Unscented transformation Wind turbine allocation Reliability Distribution network Multi-objective improved horse herd optimizer
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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