Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm

Huan Xia, Huaixin Chen, Zhongping Yang, Fei Lin and Bin Wang
Additional contact information
Huan Xia: School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China
Huaixin Chen: School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China
Zhongping Yang: School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China
Fei Lin: School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China
Bin Wang: School of Electrical Engineering, Beijing Jiaotong University, No.3 Shangyuancun, Beijing 100044, China

Energies, 2015, vol. 8, issue 10, 1-23

Abstract: The installation of stationary super-capacitor energy storage system (ESS) in metro systems can recycle the vehicle braking energy and improve the pantograph voltage profile. This paper aims to optimize the energy management, location, and size of stationary super-capacitor ESSes simultaneously and obtain the best economic efficiency and voltage profile of metro systems. Firstly, the simulation platform of an urban rail power supply system, which includes trains and super-capacitor energy storage systems, is established. Then, two evaluation functions from the perspectives of economic efficiency and voltage drop compensation are put forward. Ultimately, a novel optimization method that combines genetic algorithms and a simulation platform of urban rail power supply system is proposed, which can obtain the best energy management strategy, location, and size for ESSes simultaneously. With actual parameters of a Chinese metro line applied in the simulation comparison, certain optimal scheme of ESSes’ energy management strategy, location, and size obtained by a novel optimization method can achieve much better performance of metro systems from the perspectives of two evaluation functions. The simulation result shows that with the increase of weight coefficient, the optimal energy management strategy, locations and size of ESSes appear certain regularities, and the best compromise between economic efficiency and voltage drop compensation can be obtained by a novel optimization method, which can provide a valuable reference to subway company.

Keywords: energy storage system; super-capacitor; energy management; configuration; economic efficiency; voltage drop compensation; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://www.mdpi.com/1996-1073/8/10/11618/pdf (application/pdf)
https://www.mdpi.com/1996-1073/8/10/11618/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:8:y:2015:i:10:p:11618-11640:d:57236

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().