Wind Farm Micrositting Optimization by Stackelberg Game Theory Model

Files

Farajifijani, Ghotbi, 2018, poster.pdf (929.63 KB)

Date

2018-10-12

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Alfred University

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.

Description

Keywords

AU Energy Symposium, Energy, Renewable energy, Wind turbines, Micrositing, Stackelberg Game Theory Model

Citation

URI

http://hdl.handle.net/10829/23384

DOI

Collections

AU Energy Symposium