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Solar Power Plant Optimization

Solar Power Plant Optimization

Carlos Sanchez Reinoso, Román Buitrago, Diego Milone
Copyright: © 2015 |Pages: 26
ISBN13: 9781466666313|ISBN10: 1466666315|EISBN13: 9781466666320
DOI: 10.4018/978-1-4666-6631-3.ch011
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MLA

Reinoso, Carlos Sanchez, et al. "Solar Power Plant Optimization." Soft Computing Applications for Renewable Energy and Energy Efficiency, edited by Maria del Socorro García Cascales, et al., IGI Global, 2015, pp. 274-299. https://doi.org/10.4018/978-1-4666-6631-3.ch011

APA

Reinoso, C. S., Buitrago, R., & Milone, D. (2015). Solar Power Plant Optimization. In M. Cascales, J. Lozano, A. Arredondo, & C. Corona (Eds.), Soft Computing Applications for Renewable Energy and Energy Efficiency (pp. 274-299). IGI Global. https://doi.org/10.4018/978-1-4666-6631-3.ch011

Chicago

Reinoso, Carlos Sanchez, Román Buitrago, and Diego Milone. "Solar Power Plant Optimization." In Soft Computing Applications for Renewable Energy and Energy Efficiency, edited by Maria del Socorro García Cascales, et al., 274-299. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6631-3.ch011

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Abstract

The objective of this chapter is to optimize the photovoltaic power plant considering the effects of variable shading on time and weather. For that purpose, an optimization scheme based on the simulator from Sanchez Reinoso, Milone, and Buitrago (2013) and on evolutionary computation techniques is proposed. Regarding the latter, the representation used and the proposed initialization mechanism are explained. Afterwards, the proposed algorithms that allow carrying out crossover and mutation operations for the problem are detailed. In addition, the designed fitness function is presented. Lastly, experiments are conducted with the proposed optimization methodology and the results obtained are discussed.

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