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Adaptive optimal control of a grid-independent photovoltaic system
- Source :
- Journal of Solar Energy Engineering. Feb, 2003, Vol. 125 Issue 1, p34, 9 p.
- Publication Year :
- 2003
-
Abstract
- This paper investigates adaptive optimal control of a grid-independent photovoltaic system consisting of a collector, storage, and a load. The control 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. [DOI: 10.1115/1.1532005]
Details
- Language :
- English
- ISSN :
- 01996231
- Volume :
- 125
- Issue :
- 1
- Database :
- Gale General OneFile
- Journal :
- Journal of Solar Energy Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.98371169