Multi-objective design under uncertainties of hybrid renewable energy system using NSGA-II and chance constrained programming

•Multi-objective optimal sizing of HRES is implemented considering resource uncertainties to obtain more realistic results.•A novel method in using CCP is proposed to estimate the expected value of the objective function affected by uncertain values.•Proposed method reduces the evaluation time of th...

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Vydáno v:	International journal of electrical power & energy systems Ročník 74; s. 187 - 194
Hlavní autoři:	Kamjoo, Azadeh, Maheri, Alireza, Dizqah, Arash M., Putrus, Ghanim A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2016
Témata:	Chance constrained programming Design under uncertainties Multi-objective optimisation NSGA-II Reliability Standalone hybrid wind-PV-battery Design under uncertainties NSGA-II Reliability Chance constrained programming Standalone hybrid wind-PV-battery Multi-objective optimisation
ISSN:	0142-0615, 1879-3517
On-line přístup:	Získat plný text
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