Optimisation of inverter placement for mass rapid transit systems by immune algorithm

H.J. Chuang
2005 IEE Proceedings - Electric Power Applications  
Optimal inverter substation planning is solved by minimising the overall cost of power consumption and inverter investment for mass rapid transit power systems with immune algorithm (IA). The objective function and constraints are expressed as antigens, and all feasible solutions are expressed as antibodies in the IA simulation process. The diversity of antibodies is then enhanced by considering the proximity of antigens so that the global optimisation during the solution process can be
more » ... . It is found that energy regeneration, which results from the braking operation of train sets approaching the next station, can be restored effectively by the optimal planning of inverters using the proposed immune algorithm.
doi:10.1049/ip-epa:20041143 fatcat:zcfbrbcmlfgdrnzq3caul2kemu