e-space
Manchester Metropolitan University's Research Repository

    Optimal Power Management Strategy for Energy Storage with Stochastic Loads

    Pietrosanti, S, Holderbaum, W and Becerra, V (2016) Optimal Power Management Strategy for Energy Storage with Stochastic Loads. Energies, 9 (3). ISSN 1996-1073

    [img]
    Preview

    Available under License Creative Commons Attribution.

    Download (1MB) | Preview

    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.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    205Downloads
    6 month trend
    320Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record