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Model for paper on IEEE transactions on sustainable energy: Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty

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TSE2018-SDDP

Model for paper on IEEE transactions on sustainable energy:

Anthony Papavasiliou, Yuting Mou, Léopold Cambier, and Damien Scieur. "Application of stochastic dual dynamic programming to the real-time dispatch of storage under renewable supply uncertainty." IEEE Transactions on Sustainable Energy 9, no. 2 (2018): 547-558.

This model is implemented in Matlab 2016a and the SDDP toolbox needs to be used, which is available here (note the version): https://github.com/leopoldcambier/FAST/tree/0.9.1b

  1. data: contains data of german power system data, which is collectd from the Internet by Dr. Ignacio Aravena Solís (https://sites.google.com/site/iaravenasolis/home). Many thanks to dear Ignacio.

  2. model: models of different policies: SDDP, merit order (MO), perfect foresignt (WS) and look ahead. Each of the model is selfcontained, including three files (ProjectXX.m, which is the main file and nldsXX.m and ErrorDisturbance.m)

SDDP takes several hours to compile the lattice and run to convergence, you are recommended to reduce the number of nodes and horizon for an intial test.

If you have question regarding this model, please feel free to contact me at [email protected]. The contact information on my personal website is always up-to-date: https://sites.google.com/site/yutingmouchina/home.

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Model for paper on IEEE transactions on sustainable energy: Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty

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