Optimal Power Management Strategy for Energy Storage with Stochastic Loads

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.

Publication DOI: https://doi.org/10.3390/en9030175
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
Additional Information: 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).
Publication ISSN: 1996-1073
Last Modified: 29 Apr 2024 07:33
Date Deposited: 02 Aug 2019 15:08
Full Text Link:
Related URLs: http://www.mdpi ... 96-1073/9/3/175 (Publisher URL)
PURE Output Type: Article
Published Date: 2016-03-09
Authors: Pietrosanti, Stefano
Holderbaum, William (ORCID Profile 0000-0002-1677-9624)
Becerra, Victor

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