Markovian decision processes in an energy storage system using the software Аrena®

  • Andrey Yonchev
  • Adriana Todorova
Keywords: Markovian decision processes, Optimal policy, Analysis, Modeling and Simulation, Energy storage system

Abstract

This paper considers the problem of modeling and optimal control of
an energy storage system simulated with the software package Arena®. The
study is aimed at investigating an approach to determine the optimal control
policy applying the Markovian decision processes. The software package
Arena® will be used to create a simulation model of the investigated energy
storage system and to analyze the performance of its functioning. The
considerations are based on description of the energy storage system in an
energy supply facility.

References

1. Hilier/Liberman, Introduction to Operations Research, Seventh Edition.
McGraw Hill Company, 2010.
2. Гатев, Г., Изследване на операциите. Вземане на решение при
определеност, Изд. ТУ , 2002.
3. Arena user’s guide, Supersedes Publication ARENA-UM001C-EN-P, Allen
Bradley, Rockwell Software, November 2007.
4. Computer Labs in Arena, Economic Information Systems, Department of
Information and Computer Science, Lincöping University, Lincöping, 2006.
5. Chung, A. Christopher, Simulation Modeling Handbook. A practical
Approach, CRC Press LLC, 2004.
6. Energy storage: http://energy.gov/articles/energy-storage-key-reliable-cleanelectricity-suppl
Published
2023-02-02
How to Cite
Yonchev, A., & Todorova, A. (2023). Markovian decision processes in an energy storage system using the software Аrena®. Vanguard Scientific Instruments in Management, 8(8). Retrieved from https://www.vsim-journal.info/index.php?journal=vsim&page=article&op=view&path[]=404