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

International Journal of Electrical Power and Energy Systems

Volumn 74, Issue , 2016, Pages 187-194

  Kamjoo, Azadeh ^a   Maheri, Alireza ^a   Dizqah, Arash M ^a   Putrus, Ghanim A ^a  

^a NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

Chance constrained programming; Design under uncertainties; Multi objective optimisation; NSGA II; Reliability; Standalone hybrid wind PV battery

Indexed keywords

COMPUTER PROGRAMMING; CONSTRAINED OPTIMIZATION; DECISION SUPPORT SYSTEMS; DESIGN; GENETIC ALGORITHMS; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; MULTIOBJECTIVE OPTIMIZATION; PHOTOVOLTAIC CELLS; RELIABILITY; WIND; WIND TURBINES;

CHANCE-CONSTRAINED PROGRAMMING; DESIGN UNDER UNCERTAINTY; HYBRID RENEWABLE ENERGY SYSTEM (HRES); HYBRID RENEWABLE ENERGY SYSTEMS; HYBRID WIND; MULTI-OBJECTIVE PROBLEM; NON DOMINATED SORTING GENETIC ALGORITHM (NSGA II); NSGA-II;

RENEWABLE ENERGY RESOURCES;

EID: 84938857757     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2015.07.007     Document Type: Article

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