Optimal Power Management Strategy for Energy Storage with Stochastic Loads

Stefano Pietrosanti, William Holderbaum and Victor M. Becerra
Additional contact information
Stefano Pietrosanti: School of Systems Engineering, University of Reading, Whiteknights, Reading RG6 6AY, UK
William Holderbaum: School of Systems Engineering, University of Reading, Whiteknights, Reading RG6 6AY, UK
Victor M. Becerra: School of Engineering, University of Portsmouth, Anglesea Road, Portsmouth PO1 3DJ, UK

Energies, 2016, vol. 9, issue 3, 1-17

Abstract: In this paper, a power management strategy (PMS) has been developed for the control of energy storage in a system subjected to loads of random duration. The PMS minimises the costs associated with the energy consumption of specific systems powered by a primary energy source and equipped with energy storage, under the assumption that the statistical distribution of load durations is known. By including the variability of the load in the cost function, it was possible to define the optimality criteria for the power flow of the storage. Numerical calculations have been performed obtaining the control strategies associated with the global minimum in energy costs, for a wide range of initial conditions of the system. The results of the calculations have been tested on a MATLAB/Simulink model of a rubber tyre gantry (RTG) crane equipped with a flywheel energy storage system (FESS) and subjected to a test cycle, which corresponds to the real operation of a crane in the Port of Felixstowe. The results of the model show increased energy savings and reduced peak power demand with respect to existing control strategies, indicating considerable potential savings for port operators in terms of energy and maintenance costs.

Keywords: energy storage; power management; optimization; stochastic loads; flywheel; RTG crane (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.mdpi.com/1996-1073/9/3/175/pdf (application/pdf)
https://www.mdpi.com/1996-1073/9/3/175/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:3:p:175-:d:65322

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().