NDLI: On the estimation of an optimum size of Energy Storage System for local load shifting

Content Provider	IEEE Xplore Digital Library
Author	Park, C. Knazkins, V. Segundo Sevilla, F.R. Korba, P. Poland, J.
Copyright Year	2015
Description	Author affiliation: Inst. of Energy Syst. & Fluid Eng. (IEFE), Zurich Univ. of Appl. Sci. ZHAW in Winterthur, Winterthur, Switzerland (Park, C.; Knazkins, V.; Segundo Sevilla, F.R.; Korba, P.) \|\| Corp. Res., ABB, Baden-Dättwill, Switzerland (Poland, J.)
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 $(Q_{ESS})$ and power $(P_{ESS})$ 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, $Q_{ESS}$ and peak power limits, $P_{limit}'s$ 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.
Starting Page	1
Ending Page	5
File Size	484257
Page Count	5
File Format	PDF
ISBN	9781467380409
DOI	10.1109/PESGM.2015.7285950
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discharges (electric) Batteries Mathematical model System-on-chip Power systems Optimization load shifting Energy Storage Systems planning for storage rule-based controller power system analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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