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Energy Storage System Capacity Sizing Method for Peak-Demand Reduction in Urban Railway System with Photovoltaic Generation

Authors
Ko, RakkyungJo, Hyung-ChulJoo, Sung-Kwan
Issue Date
7월-2019
Publisher
SPRINGER SINGAPORE PTE LTD
Keywords
Capacity sizing; Energy storage system; Photovoltaic generation
Citation
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.14, no.4, pp.1771 - 1775
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
Volume
14
Number
4
Start Page
1771
End Page
1775
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/64631
DOI
10.1007/s42835-019-00203-z
ISSN
1975-0102
Abstract
The recent increase in the number of passengers has led to an increase in the operational costs of urban railway systems. In particular, peak demand is notably increasing due to the high affluence of commuters during rush hour. In addition, the expansion of the renewable energies has led to the adoption of sources such as photovoltaic (PV) power generation into the urban railway system. Similarly, energy storage systems (ESSs) have been introduced to reduce the peak demand. However, given the current high costs of ESSs, it is essential to accurately determine their capacity considering peak-demand reduction target in urban railway systems. In this paper, we propose an ESS sizing method considering PV power generation for peak-demand reduction in an urban railway system. The ESS capacity is determined using binary search and a linear programming based daily ESS scheduling. A numerical example considering data from urban railway and PV power generation systems shows the suitable performance of the proposed method.
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Joo, Sung Kwan
공과대학 (전기전자공학부)
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