{"id":595,"date":"2018-11-11T17:17:05","date_gmt":"2018-11-11T17:17:05","guid":{"rendered":"http:\/\/cssitaly.org\/\/\/?p=595"},"modified":"2018-11-11T17:17:05","modified_gmt":"2018-11-11T17:17:05","slug":"a-statistical-approach-for-modeling-the-aging-effects-in-li-ion-energy-storage-systems","status":"publish","type":"post","link":"https:\/\/cssitaly.org\/index.php\/2018\/11\/11\/a-statistical-approach-for-modeling-the-aging-effects-in-li-ion-energy-storage-systems\/","title":{"rendered":"A Statistical Approach for Modeling the Aging Effects in Li-Ion Energy Storage Systems"},"content":{"rendered":"

By Mario Mureddu, Angelo Facchini, Alfonso Damiano<\/em><\/p>\n

Published in IEEE Access, vol 6, 2018, 42196<\/a><\/p>\n

 <\/p>\n

\u00a0<\/span>This paper presents a novel approach for the technical and economic assessment of Li-ion\u00a0battery energy storage systems (BESS) in smart grids supported by renewable energy sources. The approachis based on the denition of a statistical battery degradation cost model (SBDCM), able to estimate the\u00a0expected costs related to BESS aging, according to the statistical properties of its expected cycling patterns.<\/p>\n

This new approach can improve the assessment of the economical sustainability of BESSs in this kind of\u00a0applications, helping in this way the planning processes in electricity infrastructures in presence of high\u00a0penetration of intermittent renewable energy sources. The SBDCM proposed in this paper is a statistical\u00a0generalisation of a battery degradation model presented in the literature. The proposed approach has been\u00a0validated numerically comparing the results with those of the deterministic model considering for the BESS\u00a0a stochastic dataset of input signals. In order to test the usefulness of the proposed model in a real world\u00a0application, the proposed SBDCM has been applied to the evaluation of the economic benefit associated to\u00a0the development of distributed energy storage system scenarios in the Italian power system, aimed to provide\u00a0ancillary services for supporting electricity market.<\/p>\n","protected":false},"excerpt":{"rendered":"

By Mario Mureddu, Angelo Facchini, Alfonso Damiano Published in IEEE Access, vol 6, 2018, 42196   \u00a0This paper presents a novel approach for the technical and economic assessment of Li-ion\u00a0battery energy storage systems (BESS) in smart grids supported by renewable energy sources. The approachis based on the denition of a statistical battery degradation cost model…<\/p>\n

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