Statistical Analysis of Solar Position Calculation Algorithms: SPA and Grena 1-5

Autor(es)

de Melo, Karen Barbosa ^[1] ; Tavares, Lucas Ramos ^[1] ; Villalva, Marcelo Gradella ^[1]

Afiliação do(s) autor(es)

^[1] Univ Campinas UNICAMP, Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IEEE Latin America Transactions; v. 19, n. 7, p. 1145-1152, JUL 2021.
• Citações Web of Science: 0

Resumo

Photovoltaic systems have been explored as a solution to meet the growing demand for electricity from a clean and renewable source. To improve the performance of photovoltaic systems, a widely used alternative is the implementation of solar trackers. The strategy of sun-tracking most used in photovoltaic power plants with solar trackers applies algorithms to calculate the sun position. This work presents a statistical analysis of six solar position calculation algorithms: Solar Position Algorithm (SPA) and Grena 1-5. The algorithm with the lowest solar vector error was the SPA. (AU)

• Processo FAPESP: 16/08645-9 - Pesquisas interdisciplinares em redes inteligentes de energia elétrica
• Beneficiário: João Bosco Ribeiro do Val
• Modalidade de apoio: Auxílio à Pesquisa - Temático