期刊
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
卷 135, 期 -, 页码 70-75出版社
ELSEVIER
DOI: 10.1016/j.jweia.2014.10.012
关键词
Wind farm; Power modeling; Harmony search; Parameter setting
A significant portion of the world's renewable energy is being provided by wind farms. The produced power of a wind farm in not always a constant value because it is highly dependent on the environmental conditions. As the amount of wind power rapidly increases, wind power estimation will be an important issue in electricity markets. A number of wind power estimation methodologies have been developed that are competing to provide the best estimation to the electric power industry. In this paper, a harmony search (HS) algorithm is proposed for modeling the power of a wind farm by finding the optimal weighting factors of a mathematical model. HS with a novel parameter setting approach, named HS-NPSA, is also developed to eliminate the tedious parameter assigning efforts of HS algorithm. In order to evaluate the usefulness of the proposed methodologies, the performance of HS-based algorithms is compared with those of the other heuristic techniques in terms of mean absolute percentage error (MAPE). Simulation results confirm the superiority of HS-NPSA algorithm for wind power modeling. (C) 2014 Elsevier Ltd. All rights reserved.
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