| Compared with other transportation means, urban rail transit has advantages of large carrying capacity, high punctuality and environment protection. In recent years, with the popularization of regenerative braking, the problem of regenerative failure occurs frequently. How to use energy storage technology to prevent regenerative failure and reduce the energy consumption has been hotspot in the research of urban rail transit. With the characteristics of high power density, long life cycle and environmentally friendly, super capacitor (SC) has own unique advantage and development prospect in preventing regeneration failure. In this background, in order to obtain the reasonable location and size of stationary energy storage system (ESS) in urban rail line, this dissertation has a deep research on the capacity configuration and its optimization of super SCESS.This paper develops an urban rail traction power supply simulation platform considering the stationary ESS. Combined with the characterastics of regenerative braking and multi-trains, the paper establishs models of multi-trains traction calculation and DC supply net and completes the DC traction power flow calculation. Based on the simulation platform, the voltage and current of traction substaitons, vehicles and ESSs will be obtained which offer the data support for the subsequent capacity configuration of stationary ESS.This paper proposes a method for stationay ESS capacity configuration in the premise of absorbing all of the surplus regenerative brake energy and power of every substation. Combined with the analysis of impact factors of stationary ESS capacity configuration, takes a domestic metro line for example, based on the simulation platform, the ESS capacaity configuration results has be obtained in different departure intervals.The paper proposes a methodology for the optimization of stationary ESS capacity configuration basing on the improved genetic algorithm. The methodology has high optimizing effieciency with BP-ANN and preventes from the local convergence with SAGA. Basing on this methodology, in the optimization objective of developing the energy savings and voltage profile, and reducing the cost of investment, the optimization schemes of ESS capacity configuration have been obtained. And then, the availablity of this methodology has been verified based on the cost-benefit analysis. The paper establishs an urban rail transit power supply semi-physcial simulation platform under the laboratory conditions. Based on this platform, the multi-trains condition of urban rail transit has been simulated, and the reasonability of stationary ESS control strategy has been verified. Ultimately, the paper verifies the impact for the voltage profile of DC net after the installation of stationary ESS. |
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