Distributed Optimal Operation of Continuous Co-phase Traction Power System via Chance-constraint
"Power source-traction network-energy storage-train"flexible operation of electrified railways is achieved through the continuous co-phase traction power supply system(CC-TPSS).However,the strong uncertainty of traction load flow and the high synchronization requirement of centralized dispatch pose significant challenges to the coordinated operation of multiple traction substations(TSSs).This article first establishes a mathematical model of the CC-TPSS composed of multiple TSSs based on the operating characteristics of energy storage and power flow controllers(PFCs).Then,the traction load's power is treated as a random variable,and chance-constrained power flow conditions for portraying the probabilistic features are subsequently formulated,while the scenario method is used to convert the CC into deterministic constraints.Meanwhile,the voltage unbalance compensation and security boundary of system operation are also considered.Furthermore,a multi-substation coordinated stochastic optimization method is proposed to minimize daily electricity cost,while the decoupling and distributed solving of the CC-TPSS is achieved using the synchronous alternating direction multiplier method(SADMM).The numerical results demonstrate that the proposed method enables complete decentralized autonomy among the TSSs,and leads to reduction in daily electricity cost of more than 20%for each traction substation.
continuous co-phase traction power supply systemdistributed optimal operation strategychance constraintuncertainty
万方数据
维普
