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Optimal Control of Tracking Bifacial Photovoltaic System by Using Deep Reinforcement Learning

深層強化学習による追尾式両面受光太陽光発電システムの最適制御
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Volume: 2020  Page: ROMBUNNO.97  Publication year: Nov. 05, 2020 
JST Material Number: G0271B  ISSN: 2758-478X  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Solar photovoltaic generation 
Reference (5):
  • I. Shoukry et al., Modeling of bifacial gain for stand-alone and in-field installed bifacial PV modules, Energy Procedia, vol. 92, pp. 600-608, 2016
  • D. Chudinzow et al., Simulating the energy yield of a bifacial photovoltaic power plant, Solar Energy, vol. 183, pp. 812-822, 2019
  • S. A. Pelaez et al., Model and Validation of Single-Axis Tracking With Bifacial PV, IEEE J. Photovoltaics, vol. 7, pp. 715-721, 2019
  • Y. Yamagata, H. Nonaka, N. Yamada, Optimal control of tracking bifacial photovoltaic array by using deep reinforcement learning, 日本機械学会北信越支部 第57 期総会・講演会 講演論文集, D031, 2020
  • ©National Technology and Engineering Solutions of Sandia, “PVLib for Matlab (Version 1.4, Sandia National Laboratories).” 2018
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