Publikationstyp: Konferenz: Paper
Art der Begutachtung: Keine Angabe
Titel: On the estimation of an optimum size of energy storage system for local load shifting
Autor/-in: Park, Chan
Knazkins, Valerijs
Segundo Sevilla, Felix Rafael
Korba, Petr
Poland, J.
DOI: 10.1109/PESGM.2015.7285950
Tagungsband: Proceedings of the IEEE PES General Meeting
Angaben zur Konferenz: IEEE PES General Meeting, Denver, USA, 26-30 July 2015
Erscheinungsdatum: 2015
Verlag / Hrsg. Institution: Institute of Electrical and Electronics Engineers
ISBN: 978-1-4673-8040-9
ISSN: 1932-5517
Sprache: Englisch
Schlagwörter: Planning for storage; Energy storage systems; Load shifting; Rule-based controller; Discharges (electric); Batteries; Mathematical model; System-on-chip; Power systems; Optimization
Fachgebiet (DDC): 621.04: Energietechnik
Zusammenfassung: This paper presents an algorithm for determining an optimum size of Energy Storage System (ESS) via the principles of exhaustive search for the purpose of local-level load shifting including peak shaving (PS) and load leveling (LL) operations in the electric power system. An exhaustive search method is employed to perform the ESS capacity (QESS) and power (PESS) optimization. The sizing process involves two distinct steps. In the first step the search for a feasible ESS parameter space in which the requirements of PS and LL are fulfilled and in the second step the search for an optimum point in the feasible space with respect to the cost benefit. Finally, the search is expanded to find a set of storage capacity, QESS and peak power limits, Plimit's for each month, in order to perform the load shifting throughout a one year. To validate the ESS size optimization, an appropriate model is created for time-domain simulations. The model consists of variable load, a simple state-space ESS model and a rule-based controller which operates the ESS using a set of rules. A number of time-domain simulations were performed to validate the correctness of the ESS size optimization. It appears that the proposed optimization algorithm produces results that meet the requirements in the peak shaving and load leveling operations.
URI: https://digitalcollection.zhaw.ch/handle/11475/1769
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Energiesysteme und Fluid-Engineering (IEFE)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Park, C., Knazkins, V., Segundo Sevilla, F. R., Korba, P., & Poland, J. (2015). On the estimation of an optimum size of energy storage system for local load shifting. Proceedings of the IEEE PES General Meeting. https://doi.org/10.1109/PESGM.2015.7285950
Park, C. et al. (2015) ‘On the estimation of an optimum size of energy storage system for local load shifting’, in Proceedings of the IEEE PES General Meeting. Institute of Electrical and Electronics Engineers. Available at: https://doi.org/10.1109/PESGM.2015.7285950.
C. Park, V. Knazkins, F. R. Segundo Sevilla, P. Korba, and J. Poland, “On the estimation of an optimum size of energy storage system for local load shifting,” in Proceedings of the IEEE PES General Meeting, 2015. doi: 10.1109/PESGM.2015.7285950.
PARK, Chan, Valerijs KNAZKINS, Felix Rafael SEGUNDO SEVILLA, Petr KORBA und J. POLAND, 2015. On the estimation of an optimum size of energy storage system for local load shifting. In: Proceedings of the IEEE PES General Meeting. Conference paper. Institute of Electrical and Electronics Engineers. 2015. ISBN 978-1-4673-8040-9
Park, Chan, Valerijs Knazkins, Felix Rafael Segundo Sevilla, Petr Korba, and J. Poland. 2015. “On the Estimation of an Optimum Size of Energy Storage System for Local Load Shifting.” Conference paper. In Proceedings of the IEEE PES General Meeting. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PESGM.2015.7285950.
Park, Chan, et al. “On the Estimation of an Optimum Size of Energy Storage System for Local Load Shifting.” Proceedings of the IEEE PES General Meeting, Institute of Electrical and Electronics Engineers, 2015, https://doi.org/10.1109/PESGM.2015.7285950.


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