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作者单位:Ekaterina A. Engel (16) Igor V. Kovalev (17)
16. Katanov State University of Khakassia, Shetinkina, 61, 655017, Abakan, Russian Federation 17. Siberian State Aerospace University, Krasnoyarsky Rabochy Avenue 31, 660014, Krasnoyarsk, Russian Federation
丛书名:Advances in Swarm Intelligence
ISBN:978-3-319-41000-5
刊物类别:Computer Science
刊物主题:Artificial Intelligence and Robotics Computer Communication Networks Software Engineering Data Encryption Database Management Computation by Abstract Devices Algorithm Analysis and Problem Complexity
出版者:Springer Berlin / Heidelberg
ISSN:1611-3349
卷排序:9712
文摘
This paper is mainly focused on the maximum power point tracking of a photovoltaic module under non uniform solar irradiation level. In such a case multiple local maximum power points are observed but only one global maximum power point exists. In this paper, the Ant Lion Optimizer algorithm is adopted to find the global maximum power point of a partially shaded photovoltaic module. The simulation results show that the performance of the Ant Lion Optimizer is better than the perturbation & observation algorithm in detecting the global maxima of a partially shaded photovoltaic module.