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Frontiers of Engineering Management >> 2018, Volume 5, Issue 4 doi: 10.15302/J-FEM-2018025

Network-based optimization techniques for wind farm location decisions

1. Department of Electrical and Computer Engineering, Texas A&M University, 3128 TAMU, College Station, TX 77843-3128, USA
2. Department of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843-3131, USA

Accepted: 2018-11-16 Available online: 2018-11-29

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Abstract

This study aims to find appropriate locations for wind farms that can maximize the overall energy output while controlling the effects of wind speed variability. High wind speeds are required to obtain the maximum possible power output of a wind farm. However, balancing the wind energy supplies over time by selecting diverse locations is necessary. These issues are addressed using network-based models. Hence, actual wind speed data are utilized to demonstrate the advantages of the proposed approach.

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