KIEE - The Transactions of the Korean Institute of Electrical Engineers

Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers

QR CODE : The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.

SCImago Journal & Country Rank

Main Menu

Journal Search

XML PDF INFO REF


Title	An Optimal ESS Operation Strategy Considering the Quantitative Effect of Peak Management with Meta-Heuristic Optimization
Authors	주형준(Hyeong-Jun Ju) ; 손진만(Jin-Man Sohn)
DOI	https://doi.org/10.5370/KIEE.2019.68.9.1052
Page	pp.1052-1059
ISSN	1975-8359
Keywords	Genetic Algorithm; Energy Storage System; Load Leveling; Mixed Integer Programming
Abstract	Electricity charges consist of into electrical energy charges and basic charges. Electricity charges are charged according to time of use(TOU), not according to the total daily usage in household sector. Therefore, using ESS for peak management can decrease electricity charges. The optimal charging / discharging schedule of ESS considering the electrical energy charges can be established by linear programming. The basic charge reduction method through minimization of deviation in the previous researches does not reflect the exact basic charges. To cope with this problem, we proposes peak demand method for an optimal ESS charge / discharge schedule that minimizes total charges. The effectiveness of the proposed method is shown through case studies using various heuristic algorithms.

© KIEE All right's reserved

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution and reproduction in any medium, provided the original work is property cited.