Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72660
Title: Genetic algorithm based bicriterion optimisation for traction substations in DC railway system
Authors: Chang, C.S. 
Wang, W.
Liew, A.C. 
Wen, F.S. 
Srinivasan, D. 
Issue Date: 1995
Source: 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. Proceedings of the IEEE Conference on Evolutionary Computation 1 : 11-16. ScholarBank@NUS Repository.
Abstract: This paper presents a genetic algorithm (GA) based method for bicriterion operating optimisation in DC railway systems, in order to achieve a tradeoff between high power recovery and uniform load sharing among traction substations (TSSs). Based on a multi-train movement simulation and line receptivity study, a scheme for optimally coordinating control of firing angles on the TSSs is proposed. The developed method can be used to any operating conditions, but the emphasis of this paper is on regenerative braking in DC railways. Simulation results have shown that much improvement on power recovery and load sharing can be achieved by using the proposed method.
Source Title: Proceedings of the IEEE Conference on Evolutionary Computation
URI: http://scholarbank.nus.edu.sg/handle/10635/72660
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