Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation

In this paper we show a multi-objective evolutionary algorithm (MOEA) for the optimisation of stand-alone (off-grid) hybrid systems (photovoltaic-wind-diesel-battery) to minimise total net present cost (NPC) and maximise human development index (HDI) and job creation (JC). Optimisation of this kind...

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Veröffentlicht in:	Renewable energy Jg. 94; S. 280 - 293
Hauptverfasser:	Dufo-López, Rodolfo, Cristóbal-Monreal, Iván R., Yusta, José M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.08.2016
Schlagworte:	algorithms Communities Cost engineering Electricity emissions energy Energy consumption Human human development Human development index Hybrid systems Job creation Multi-objective evolutionary algorithms Net present cost Optimization Refugees renewable energy sources Renewable stand-alone systems Renewable stand-alone systems Multi-objective evolutionary algorithms Job creation Human development index Net present cost
ISSN:	0960-1481, 1879-0682
Online-Zugang:	Volltext
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