EURO 2024 Copenhagen
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3190. Improving the Battery Model for Energy Management Systems in Microgrid Applications

Invited abstract in session TD-22: Distributed energy systems, stream Energy Management.

Tuesday, 14:30-16:00
Room: 81 (building: 116)

Authors (first author is the speaker)

1. Cesar Cerda
Faculty of Engineering and Sciences, Universidad Adolfo Ibáñez
2. Rodrigo A. Carrasco
Institute of Mathematical Engineering and Computation, Pontificia Universidad Católica de Chile

Abstract

The adoption of non-conventional renewable energy sources (NCRE) is essential to achieve the Paris Agreement's objectives. This transformation does not only involve changing the primary energy source of large-scale electricity generation but, its effective adoption requires changes at the level of the energy transportation and distribution network, including NCRE distributed generation and microgrids systems to provide stability to the grid. Since NRCE are generally variable, energy storage and energy management systems (EMS) has become key allies on this process.
In this talk we present how improvements on mathematical model for battery storage in EMS for microgrid applications can produce better decisions, reducing the microgrid operation costs significantly. For this purpose, a new battery model (MLPP-A) is presented, which incorporates the nonlinearities of the battery charging process through a piecewise linear approximation. Our MLPP-A model is benchmarked against a linear battery charging model (MLB), to get the parameters for both models experimentally, and to compare their adjustment with real system, a microgrid test bed was implemented. To evaluate the EMS performance with both battery models, under same solar irradiance conditions, on different seasons of the year, a computational simulation was implemented, which showed an average economic benefit of 6.33% once MLPP-A model is used instead of MLB model, without significant additional computing time required.

Keywords

Status: accepted

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