BICRITERION OPTIMIZATION FOR TRACTION SUBSTATIONS IN MASS RAPID-TRANSIT SYSTEMS USING GENETIC ALGORITHM

In modern mass rapid transit systems trains are often equipped with re generative braking. Effective control of firing angles at traction sub stations (TSS) will bring about high recovery of regenerated power, ev en load sharing among TSS and thus economic returns. These two objecti ves of high power recovery and even load sharing are conflicting, and do not reach their-optima simultaneously. A tradeoff approach is propo sed for-optimising these two objectives and for compromising with othe r objectives using a genetic algorithm. Consistent power saving has be en obtained from optimisation results and load sharing can be greatly improved through coordinated optimisation of TSS firing angles. The op timisation presented is carried out at a particular 'snap shot'. The p roposed approach is being extended to a time period for dealing with o verall energy recovery.