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http://dx.doi.org/10.5370/KIEE.2015.64.7.1125

Mixed Integer Programming (MIP)-based Energy Storage System Scheduling Method for Reducing the Electricity Purchasing Cost in an Urban Railroad System  

Ko, Rakkyung (School of Electrical Engineering, Korea University)
Kong, Seongbae (School of Electrical Engineering, Korea University)
Joo, Sung-Kwan (School of Electrical Engineering, Korea University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.64, no.7, 2015 , pp. 1125-1129 More about this Journal
Abstract
Increasing peak load is one of the major concerns about operation of urban railroad systems. Since ESSs (Energy Storage Systems) have a great potential for shaving the peak load, there has been a growing interest in the use of ESS for peak load reduction. Also, ESS can be optimally scheduled to minimize the electricity purchasing cost under a given ToU (Time-of-Use) tariff by taking advantage of electricity price difference between peak and off-peak time. This paper presents a Mixed Integer Programming (MIP)-based ESS scheduling method to minimize the electricity purchasing cost under a ToU tariff for an urban railroad system.
Keywords
Urban railroad system; Energy storage system; Peak shaving; ESS scheduling;
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