Stochastic modeling of lead-acid battery parameters

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Lujano Rojas, JM (Author) Other; Osório, GJ (Author) Other; Mendes, TDP (Author) Other; Catalão, JPS (Author) FEUP

Conference proceedings International

Title: 2016 51st International Universities Power Engineering Conference (UPEC)

Pages: 1-5

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-00P-SVF

DOI: 10.1109/upec.2016.8114014

Abstract (EN): Renewable energies are in constant growth and evolution, being a clean way to provide the energy required for the sustainable development of human society. In this context, energy storage systems are a key factor in the integration of renewable generation, because through them, the flexibility of the power system can be increased. Lead-acid batteries have been extensively used to provide electricity in isolated and rural locations, and could be integrated to the smart grid in order to improve its performance. However, this is a complex element due to its working principle, specifically during charging periods. In this paper, a general purpose model is formulated from a probabilistic point-of-view in order to determine the range of possible values of state-of-charge due to the uncertainty and to estimate the battery efficiency. A case study is analyzed and the results are compared with Monte Carlo Simulation approach in order to evaluate the proposed model. © 2016 IEEE.

Language: English

Type (Professor's evaluation): Scientific