Advanced Parameter Measurement of Energy Storage Systems for Smart Grids application

Daniele Gallo, Carmine Landi, Mario Luiso, Aniello Rosano

Abstract

The smart grid approach is envisioned to take advantage of all available modern technologies in transforming the current power system to provide benefits to all stakeholders first of all in the fields of efficient energy utilization and of wide integration of renewable sources. Energy storage systems, especially those based on batteries, could help to solve some issues that stem from the use of renewable energy, in terms of stabilizing the intermittent energy production, power quality and power peak mitigation. With the integration of energy storage systems into the smart grids, their accurate modeling becomes a necessity, in order to gain a robust realtime control on the network, from a point of view of stability and energy stock forecasting. With an accurate and efficient battery model it can be predict and optimize battery performance especially under practical runtime usage such as Battery Management Systems (BMS). This paper proposes a method of parameters estimation using Matlab/Simulink parameter estimation tool for the premonition battery models. It is shown that this model, composed of a controlled voltage source in series with a resistance, can accurately represent four types of battery chemistries. The model is validated by superimposing the results with the experimental measurement’s discharge curves.

Keywords

smart grid, power and energy measurement, energy storage, battery model, optimization techniques

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IMEKO-TC4-2013-104.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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