Hierarchical Agglomerative Clustering Algorithm method for distributed generation planning

•Hierarchical Agglomerative Clustering Algorithm (HACA) based approach is proposed for DG planning.•This method employs only single stage in identification of suitable site and size.•A guaranteed feasible solution is always available to the planner by this method.•Solution method is straightforward...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 56; S. 259 - 269
Hauptverfasser:	Vinothkumar, K., Selvan, M.P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.03.2014 Elsevier
Schlagworte:	Agglomeration Algorithms Applied sciences Clustering Computer simulation Distributed generation Distributed generator (DG) planning Electric power generation Electric power plants Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Hierarchical Agglomerative Clustering Algorithm (HACA) Miscellaneous Multi-objective function Multiple objective Operation. Load control. Reliability Performance indices Placement Power networks and lines Performance indices Multi-objective function Distributed generator (DG) planning Hierarchical Agglomerative Clustering Algorithm (HACA) Performance evaluation Positioning Automatic classification Hierarchical Agglomerative Clustering Power system planning Multiobjective programming Power distribution planning Power generation planning Distributed generator (DC) planning Distributed power generation Algorithm Forecasting management Electrical network System simulation Algorithm (HACA) Objective function Electric power production Hierarchical system Effectiveness factor Distribution network
ISSN:	0142-0615, 1879-3517
Online-Zugang:	Volltext
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