Optimal Power Management Strategy for Energy Storage with Stochastic Loads

Stefano Pietrosanti, William Holderbaum, Victor Becerra

Research output: Contribution to journalArticle

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.
Original languageEnglish
Article number175
JournalEnergies
Volume9
Issue number3
DOIs
Publication statusPublished - 9 Mar 2016

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Power Management
Energy Storage
Energy storage
Control Strategy
Costs
Energy
Gantry cranes
Power Flow
Flywheels
Tire
Statistical Distribution
Optimality Criteria
Rubber
Global Minimum
Storage System
Matlab/Simulink
Cranes
Energy Saving
Tires
Cost functions

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Cite this

Pietrosanti, Stefano ; Holderbaum, William ; Becerra, Victor. / Optimal Power Management Strategy for Energy Storage with Stochastic Loads. In: Energies. 2016 ; Vol. 9, No. 3.
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Optimal Power Management Strategy for Energy Storage with Stochastic Loads. / Pietrosanti, Stefano; Holderbaum, William; Becerra, Victor.

In: Energies, Vol. 9, No. 3, 175, 09.03.2016.

Research output: Contribution to journalArticle

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