Browse > Article
http://dx.doi.org/10.5370/KIEE.2014.63.6.841

Peak Power Optimization for Metro Railway using by Source Impedance Control  

Kim, Han-Su (Dept. of Electrical Engineering, Inha University)
Kwon, Oh-Kyu (Dept. of Electrical Engineering, Inha University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.6, 2014 , pp. 841-849 More about this Journal
Abstract
Urban railway with rectifiers is connected by parallel circuits because substations are joined by the power rail. Thus, if an input voltage of a substation is increased, then the voltage of rectifiers is also increased, and which leads to an increase in the peak power of the substation. To solve this problem, this paper proposes a new method reducing the peak power of substations by adjusting the operation number of rectifiers. Its feasibility is exemplified by some simulations performed for Incheon subway Line 1 and GA(Genetic Algorithm) method has been applied to obtain the optimal input. Simulation results show that peak power can significantly be reduced using the method proposed in this paper.
Keywords
Source impedance control; DC railway; Peak power; Optimization; GA;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Chen, J. F., Lin, R. L., & Liu, Y. C., (2005) Optimization of an mrt train schedule: Reducing maximum traction power by using genetic algorithms. Power Systems, IEEE Transactions on, 20(3), 1366-1372.   DOI   ScienceOn
2 Han-Su Kim, Oh-Kyu Kwon, (2013) Approximate Model for Peak Demand Power Computation in Metro Railway with DC Rectifiers , Journal of Korea Society for Railway, Vol. 15, pp. 372-378   과학기술학회마을   DOI   ScienceOn
3 Bocharnikov, Y. V., et al., (2007) "Optimal driving strategy for traction energy saving on DC suburban railways." Electric Power Applications, IET 1.5 (2007): 675-682.   DOI   ScienceOn
4 Chang, C. S., & Kwan, C. M., (2005) Evaluation of evolutionary algorithms for multi-objective train schedule optimization. In AI 2004: Advances in Artificial Intelligence (pp. 803-815). Springer Berlin Heidelberg.
5 Chang, C. S., Wang, W., Liew, A. C., Wen, F. S., & Srinivasan, D., (1995) Genetic algorithm based bicriterion optimisation for traction substations in DC railway system. In Evolutionary Computation, 1995., IEEE International Conference on (Vol. 1, p. 11). IEEE.
6 Cai, Y., Irving, M. R., & Case, S. H., (1995) Iterative techniques for the solution of complex DC-rail-traction systems including regenerative braking, IEE Proceedings-Generation, Transmission and Distribution, 142(5), 445-452.   DOI   ScienceOn
7 Construction Division of Incheon Subway (2006) Song-do International City, Incheon City Rail Line 1 extension project implementation design power simulation.
8 Gil Dong Kim, Hi Sung Lee, Cheon Heon An, Han Min Lee, (2009) A Study on Effect of Energy Saving by Applying Energy Storage System, Journal of Korea Society for Railway, Vol.12 , pp. 582-589
9 Steiner, M., Klohr, M., Pagiela, S, (2007) Energy storage system with ultracaps on board of railway vehicles, Power Electronics and Applications, 2007 European Conference
10 Steiner, M.; Scholten, J., (2004) Energy storage on board of DC fed railway vehicles PESC 2004 conference in Aachen, Germany, Power Electronics Specialists Conference, 2004. PESC 04. 2004 IEEE 35th Annual, vol.1, no., pp.666-671
11 Wong K. K., Ho T. K., (2004) Coast control for mass rapid transit railways with searching methods, Electric Power Applications, IEE Proceedings, vol. 151, pp. 363-376
12 Rufer, (2010) Energy storage for railway systems, energy recovery and vehicle autonomy in Europe, Power Electronics Conference (IPEC), 2010 International, vol., no., pp.3124-3127
13 Jiann-Fuh Chen, Ray-Lee Lin, Yow-Chyi Liu, (2005) Optimization of an MRT Train Schedule: Reducing Maximum Traction Power by Using Genetic Algorithms, Power Systems, IEEE Transactions on , vol.20, no.3, pp.1366-1372   DOI   ScienceOn
14 Chang, C.S., Sim, S. S., (1997) Optimizing train movements through coast control using genetic algorithms ,Electric Power Applications, IEE Proceedings , vol.144, no.1, pp.65-73   DOI   ScienceOn
15 J. B. Flowers, (1995) Load sharing with thyristor controlled rectifier substations, in Proc, IEEE/ASME Joint Railroad Conf., New York, pp. 69-73
16 Chang, C. S., & Tian, L. F., (1999, September) Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm. In Electric Power Applications, IEE Proceedings, vol. 146, No. 5, pp. 570-576. IET   DOI   ScienceOn