Abstract
A stochastic programming model of the operation of energy plants with the introduction of photovoltaic generation and a storage battery is developed. The uncertainty of the output of the photovoltaic generation is represented by a set of discrete scenarios, and the expected value of the operation cost is minimized. The effectiveness of the stochastic programming model by comparing it with the deterministic model is shown. As an economic evaluation, the recovery period for the initial investment of photovoltaic generation and storage battery is also shown.
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CITATION STYLE
Fukuba, T., Shiina, T., & Tokoro, K. ichi. (2019). Stochastic programming for energy plant operation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11436 LNCS, pp. 208–221). Springer Verlag. https://doi.org/10.1007/978-3-030-14812-6_13
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