Alfred University Research and Archive (AURA)

Wind Farm Micrositting Optimization by Stackelberg Game Theory Model

Show simple item record Farajifijani, Ramin Ghotbi, Ehsan 2019-05-06T15:58:01Z 2019-05-06T15:58:01Z 2018-10-12
dc.description.abstract This study proposes the optimal layout of an offshore wind farm (WF) micrositing for a fixed/imported number (N) of wind turbines (WTs) in a 2 km 2 km finite fixed area similar to previous studies with respect to the maximum power outage from the wind and inimum levelized cost of energy (LCOE) and maximum efficiency concerning highly desire from technical and commercial perspective. Thus, by applying an Stackelberg algorithm and game theory to the leaders and followers (objective functions), ensure that the optimal solution for the number of WTs used are placed at most optimum location in the WF to harness maximum power available in the wind with a more efficient and economical layout. Case studies with actual manufacturer data for same WTs with various hub heights and with realistic wind profile data are performed under the scope of research. en_US
dc.language.iso en_US en_US
dc.publisher Alfred University en_US
dc.relation.ispartof Scholes Library en_US
dc.rights en_US
dc.subject AU Energy Symposium en_US
dc.subject Energy en_US
dc.subject Renewable energy en_US
dc.subject Wind turbines en_US
dc.subject Micrositing en_US
dc.subject Stackelberg Game Theory Model en_US
dc.title Wind Farm Micrositting Optimization by Stackelberg Game Theory Model en_US
dc.type Presentation or Speech en_US

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