Multi-objective probabilistic distribution feeder reconfiguration considering wind power plants
- Author
- KAVOUSI-FARD, Abdollah1 ; NIKNAM, Taher1 ; KHOSRAVI, Abbas2
[1] Department of Electronic and Electrical Engineering, Shiraz University of Technology, Modares Blvd., Shiraz, Iran, Islamic Republic of
[2] Centre for Intelligent Systems Research (CISR), Deakin University, Waurn Ponds Campus, Geelong, VIC 3217, Australia - Source
Electrical power & energy systems. 2014, Vol 55, pp 680-691, 12 p ; ref : 29 ref
- CODEN
- IEPSDC
- ISSN
- 0142-0615
- Scientific domain
- Electrical engineering
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Feeder Reconfiguration (MPDFR) Multi-objective Probabilistic Distribution Optimization (SAMTLO) algorithm Self Adaptive Modified Teacher Learning Uncertainty Wind Turbines (WTs)
- Keyword (fr)
- Algorithme apprentissage Approche probabiliste Architecture reconfigurable Aérogénérateur Centrale éolienne Charge réactive Coût Etude cas Evaluation performance Facteur efficacité Fonction objectif Gestion charge Gestion prévisionnelle Méthode optimisation Optimisation sous contrainte Optimum Pareto Perte puissance Programmation multiobjectif Prévision demande Puissance sortie Réseau distribution Réseau électrique Solution optimale
- Keyword (en)
- Learning algorithm Probabilistic approach Reconfigurable architectures Wind generator Wind power plant Reactive load Costs Case study Performance evaluation Effectiveness factor Objective function Load management Forecasting management Optimization method Constrained optimization Pareto optimum Power losses Multiobjective programming Demand forecasting Output power Distribution network Electrical network Optimal solution
- Keyword (es)
- Algoritmo aprendizaje Enfoque probabilista Generador aire Central eólica Carga reactiva Coste Estudio caso Evaluación prestación Factor de eficacia Función objetivo Gestión provisional Método optimización Optimización con restricción Optimo Pareto Programación multiobjetivo Previsión demanda Potencia salida Red distribución Red eléctrica Solución óptima
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05I Electrical power engineering / 001D05I01 Power networks and lines / 001D05I01I Miscellaneous
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05I Electrical power engineering / 001D05I02 Electric power plants / 001D05I02D Non classical power plants / 001D05I02D3 Wind power plants
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05I Electrical power engineering / 001D05I03 Direct energy conversion and energy accumulation / 001D05I03G Miscellaneous
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06C Natural energy / 001D06C04 Wind energy
- Discipline
- Electrical engineering. Electroenergetics Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28028294
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.ijepes.2013.10.028 
https://dx.doi.org/10.1016/j.ijepes.2013.10.028
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