TY - GEN
T1 - Optimal evolutionary wind turbine placement in wind farms considering new models of shape, orography and wind speed simulation
AU - Saavedra-Moreno, B.
AU - Salcedo-Sanz, S.
AU - Paniagua-Tineo, A.
AU - Gascón-Moreno, J.
AU - Portilla-Figueras, J. A.
PY - 2011
Y1 - 2011
N2 - In this paper we present a novel evolutionary algorithm for optimal positioning of wind turbines in wind farms. We consider a realistic model for the wind farm, which includes orography, shape of the wind farm, simulation of the wind speed and direction, and costs of installation, connection and road construction among wind turbines. Several experiments show that the proposed evolutionary approach obtains very good solutions which maximize power production, and takes into account the different constraints of the problem.
AB - In this paper we present a novel evolutionary algorithm for optimal positioning of wind turbines in wind farms. We consider a realistic model for the wind farm, which includes orography, shape of the wind farm, simulation of the wind speed and direction, and costs of installation, connection and road construction among wind turbines. Several experiments show that the proposed evolutionary approach obtains very good solutions which maximize power production, and takes into account the different constraints of the problem.
UR - http://www.scopus.com/inward/record.url?scp=79957935577&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21501-8_4
DO - 10.1007/978-3-642-21501-8_4
M3 - Conference contribution
AN - SCOPUS:79957935577
SN - 9783642215001
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 25
EP - 32
BT - Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings
T2 - 11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
Y2 - 8 June 2011 through 10 June 2011
ER -