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Energies 2014, 7(11), 7305-7329; doi:10.3390/en7117305

An Integrated Energy-Efficient Operation Methodology for Metro Systems Based on a Real Case of Shanghai Metro Line One

1
Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
2
School of Engineering and Computing, University of the West of Scotland, Paisley PA1 2BE, Scotland, UK
*
Author to whom correspondence should be addressed.
Received: 17 July 2014 / Revised: 1 November 2014 / Accepted: 5 November 2014 / Published: 13 November 2014
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Abstract

Metro systems are one of the most important transportation systems in people’s lives. Due to the huge amount of energy it consumes every day, highly-efficient operation of a metro system will lead to significant energy savings. In this paper, a new integrated Energy-efficient Operation Methodology (EOM) for metro systems is proposed and validated. Compared with other energy saving methods, EOM does not incur additional cost. In addition, it provides solutions to the frequent disturbance problems in the metro systems. EOM can be divided into two parts: Timetable Optimization (TO) and Compensational Driving Strategy Algorithm (CDSA). First, to get a basic energy-saving effect, a genetic algorithm is used to modify the dwell time of each stop to obtain the most optimal energy-efficient timetable. Then, in order to save additional energy when disturbances happen, a novel CDSA algorithm is formulated and proposed based on the foregoing method. To validate the correctness and effectiveness of the energy-savings possible with EOM, a real case of Shanghai Metro Line One (SMLO) is studied, where EOM was applied. The result shows that a significant amount of energy can be saved by using EOM. View Full-Text
Keywords: metro system; energy-saving; energy-efficient operation methodology; timetable optimization; compensational driving strategy algorithm metro system; energy-saving; energy-efficient operation methodology; timetable optimization; compensational driving strategy algorithm
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gong, C.; Zhang, S.; Zhang, F.; Jiang, J.; Wang, X. An Integrated Energy-Efficient Operation Methodology for Metro Systems Based on a Real Case of Shanghai Metro Line One. Energies 2014, 7, 7305-7329.

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