Optimal Storage Scheduling Using Markov Decision Processes

The paper presents a method based on Markov decision processes to optimally schedule energy storage devices in power distribution networks with renewable generation. The time series of renewable generation is modeled as a Markov chain which allows for the implementation of a stochastic dynamic progr...

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Bibliographic Details
Published inIEEE transactions on sustainable energy Vol. 7; no. 2; pp. 755 - 764
Main Authors Grillo, Samuele, Pievatolo, Antonio, Tironi, Enrico
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Batteries
Devices
Dynamic programming
Dynamical systems
Energy storage
Heuristic algorithms
Markov processes
Networks
Optimization
renewable generation
Scheduling
stochastic dynamic programming
Markov processes
renewable generation
stochastic dynamic programming
Energy storage
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Summary:The paper presents a method based on Markov decision processes to optimally schedule energy storage devices in power distribution networks with renewable generation. The time series of renewable generation is modeled as a Markov chain which allows for the implementation of a stochastic dynamic programming algorithm. The output of this algorithm is an optimal scheduling policy for the storage device achieving the minimization of an objective function including cost of energy and network losses. Besides this, other properties, such as energy storage placement and size, can be assessed and compared in optimized systems with different layouts.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1949-3029
1949-3037
DOI:10.1109/TSTE.2015.2497718