A mixed-integer quadratically-constrained programming model for the distribution system expansion planning

•A model to obtain the steady-state operation of a distribution system is shown.•A quadratically-constrained model for the distribution system planning is proposed.•We reported better results for test cases than the ones presented in other works. This paper presents a mixed-integer quadratically-con...

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Veröffentlicht in:	International journal of electrical power & energy systems Jg. 62; S. 265 - 272
Hauptverfasser:	Franco, John F., Rider, Marcos J., Romero, Rubén
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.11.2014 Elsevier
Schlagworte:	Allocations Applied sciences Computational efficiency Construction Distribution system expansion planning Distribution system optimization Electrical engineering. Electrical power engineering Electrical power engineering Exact sciences and technology Mathematical models Miscellaneous Mixed-integer quadratically-constrained programming Operation. Load control. Reliability Optimization Power networks and lines Programming Solvers Substations Mixed-integer quadratically-constrained programming Distribution system optimization Distribution system expansion planning Performance evaluation Substation Radial distribution Power system planning Power distribution planning Mixed integer programming Steady state Forecasting management Optimization Integer programming Electrical network Optimal solution Capacitor Distribution network Comparative study
ISSN:	0142-0615, 1879-3517
Online-Zugang:	Volltext
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