Novel design of artificial ecosystem optimizer for large-scale optimal reactive power dispatch problem with application to Algerian electricity grid

Optimization of reactive power dispatch (ORPD) problem is a key factor for stable and secure operation of the electric power systems. In this paper, a newly explored nature-inspired optimization through artificial ecosystem optimization (AEO) algorithm is proposed to cope with ORPD problem in large-...

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Veröffentlicht in:	Neural computing & applications Jg. 33; H. 13; S. 7467 - 7490
Hauptverfasser:	Mouassa, Souhil, Jurado, Francisco, Bouktir, Tarek, Raja, Muhammad Asif Zahoor
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.07.2021 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Combinatorial analysis Complexity Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Design optimization Electric power grids Electric power systems Electricity distribution Image Processing and Computer Vision Optimization techniques Original Article Performance evaluation Power dispatch Probability and Statistics in Computer Science Reactive power System effectiveness Variance analysis Voltage stability Real power loss Optimal reactive power dispatch Voltage deviation Voltage stability index Large-scale test system Artificial ecosystem optimization algorithm
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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