A new Pareto multi-objective sine cosine algorithm for performance enhancement of radial distribution network by optimal allocation of distributed generators

The integration of distributed generators (DGs) is considered to be one of the best cost-effective techniques to improve the efficiency of power distribution systems in the recent deregulation caused by continuous load demand and transmission system contingency. In this perspective, a new multi-obje...

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Veröffentlicht in:	Evolutionary intelligence Jg. 14; H. 4; S. 1635 - 1656
Hauptverfasser:	Raut, Usharani, Mishra, Sivkumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2021 Springer Nature B.V
Schlagworte:	Applications of Mathematics Artificial Intelligence Bioinformatics Contingency Control Deregulation Distributed generation Electric power distribution Electric power loss Energy costs Energy dissipation Engineering Evolutionary algorithms Generators Genetic algorithms Mathematical and Computational Engineering Mechatronics Multiple objective analysis Particle swarm optimization Performance enhancement Pollutants Radial distribution Rank tests Research Paper Robotics Sorting algorithms Statistical Physics and Dynamical Systems System effectiveness Trigonometric functions Voltage stability Power loss Voltage stability Pareto front Non-dominated solutions Distributed generation
ISSN:	1864-5909, 1864-5917
Online-Zugang:	Volltext
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