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Reliability consideration in the energy storagesystem design process
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering. (Energy storage)ORCID iD: 0000-0002-3070-9059
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering. (Energy storage)ORCID iD: 0000-0003-4740-1832
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0002-2964-7233
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering.ORCID iD: 0000-0003-2025-5759
2018 (English)In: 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Energy storage systems are an important asset inthe future power grid, ensuring the safety and reliability inface of growing power consumption and intermittent supply.Occupying a vital role, the reliability of the storage system itselfhas to be guaranteed and taken into account for, especially inthe design procedure. This study utilizes reliability methods toanalyze the storage’s system reliability and optimize the systemsize to an appropriate level. A residential building with a 3.3kWphotovoltaic system serves as a case study to analyze differentenergy storage types and their resulting optimum systemstructure. The paper also includes an economic evaluation tomeasure the storage’s suitability for the particular case with thephotovoltaic system.

Place, publisher, year, edition, pages
IEEE, 2018.
Keywords [en]
Energy storage system;reliability;Simulation.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Energy Technology
Identifiers
URN: urn:nbn:se:kth:diva-234661DOI: 10.1109/PMAPS.2018.8440422ISI: 000451295600089Scopus ID: 2-s2.0-85053164028ISBN: 978-1-5386-3596-4 (electronic)OAI: oai:DiVA.org:kth-234661DiVA, id: diva2:1246468
Conference
2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Projects
StandUp for Energy
Note

QC 20180921

Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2022-10-24Bibliographically approved

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Pham, Cong-ToanMånsson, DanielHilber, PatrikShayesteh, Ebrahim

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