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|Title:||Application of differential evolution in harmonic worst-case identification of mass rapid transit power supply system||Authors:||Chang, C.S.
|Issue Date:||20-Oct-2004||Citation:||Chang, C.S., Lu, L.R., Wang, F. (2004-10-20). Application of differential evolution in harmonic worst-case identification of mass rapid transit power supply system. International Journal of Systems Science 35 (13-14) : 731-739. ScholarBank@NUS Repository. https://doi.org/10.1080/00207720412331303624||Abstract:||Mass rapid transit operation results in voltage and current harmonic distortions in a.c. supply systems. Power-supply standards limit the acceptable harmonic-distortion levels. In order to observe these limits, it is necessary to identify the worst-case harmonic distortions in MRT system. Train operating modes and system configurations affect the level of harmonic distortions. Harmonic worst-case identification is treated as an optimization problem in terms of train separations and traffic conditions. The approach uses approximate train movement and consumption models, and a.c./d.c. harmonic loadflow for evaluating the harmonic distortions. This paper uses a new method called Differential Evolution (DE) for solving the problem. Parallel studies using genetic algorithm are carried out. Comparative results demonstrate the favourable features of DE for large-scale optimization with real variables, as the method is efficient and rapidly converging.||Source Title:||International Journal of Systems Science||URI:||http://scholarbank.nus.edu.sg/handle/10635/55129||ISSN:||00207721||DOI:||10.1080/00207720412331303624|
|Appears in Collections:||Staff Publications|
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