Title: On the estimation of an optimum size of energy storage system for local load shifting
Authors : Park, Chan
Knazkins, Valerijs
Segundo Sevilla, Felix Rafael
Korba, Petr
Poland, J.
Proceedings: Proceedings of the IEEE PES General Meeting
Conference details: IEEE PES General Meeting, Denver, Colorado, July 26-30, 2015
Publisher / Ed. Institution : Institute of Electrical and Electronics Engineers
Issue Date: 2015
License (according to publishing contract) : Licence according to publishing contract
Type of review: Not specified
Language : English
Subjects : Planning for storage; Energy storage systems; Load shifting; Rule-based controller; Discharges (electric); Batteries; Mathematical model; System-on-chip; Power systems; Optimization
Subject (DDC) : 621.04: Energy engineering
Abstract: 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.
Departement: School of Engineering
Organisational Unit: Institute of Energy Systems and Fluid Engineering (IEFE)
Publication type: Conference Paper
DOI : 10.1109/PESGM.2015.7285950
ISBN: 978-1-4673-8040-9
ISSN: 1932-5517
URI: https://digitalcollection.zhaw.ch/handle/11475/1769
Appears in Collections:Publikationen School of Engineering

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