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Adaptive Optimal Control of a Grid-Independent Photovoltaic System

[+] Author Affiliations
Gregor P. Henze

University of Nebraska at Lincoln, Omaha, NE

Robert H. Dodier

University of Colorado at Boulder, Boulder, CO

Paper No. SED2002-1045, pp. 139-148; 10 pages
doi:10.1115/SED2002-1045
From:
  • ASME Solar 2002: International Solar Energy Conference
  • Solar Energy
  • Reno, Nevada, USA, June 15–20, 2002
  • Conference Sponsors: Solar Energy Division
  • ISBN: 0-7918-1689-3
  • Copyright © 2002 by ASME

abstract

This paper investigates adaptive optimal control of a grid-independent photovoltaic system consisting of a collector, storage, and a load. The algorithm is based on Q-Learning, a model-free reinforcement learning algorithm, which optimizes control performance through exploration. Q-Learning is used in a simulation study to find a policy which performs better than a conventional control strategy with respect to a cost function which places more weight on meeting a critical base load than on those non-critical loads exceeding the base load.

Copyright © 2002 by ASME

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