By Topic

Harmonic worst-case identification and filter optimal design of MRT systems using genetic algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
C. S. Chang ; Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore ; F. Wang ; K. S. Lock

A mass rapid transit (MRT) operation results in harmonic distortions of AC supply systems. To estimate the effects of harmonics in the system, the worst case should be identified in order to determine whether the harmonic level is beyond the tolerable limit. Levels of voltage and current harmonic distortions in MRT supply systems are affected by train operating modes and system configurations. Harmonic worst-case identification can be treated as an optimisation problem in terms of train separations and traffic conditions. In the paper an approach based on a genetic algorithm (GA) is proposed for solving such problems. The worst-case information is then used in another GA search to place and size the corrective filters when required. Afterwards, the search for the worst case after correction is repeated. The approach uses approximate train movement and consumption models, and the AC/DC harmonic load flow for evaluating the overall harmonic distortion. Simulation results demonstrate the robustness of the approach, which is capable of solving highly nonlinear problems beyond the capability of conventional techniques

Published in:

IEE Proceedings - Electric Power Applications  (Volume:144 ,  Issue: 5 )