当前地铁线路各牵引所变流器独立运行，无法实现实时信息交互、精准调整和协调控制。为解决这一问题，提出基于Goose通信的地铁多变流器智能优化控制方法。基于Goose通信网络搭建多变流器分层控制结构，以系统网损最小和钢轨电位幅值最小为目标，提出基于NSGA-II算法的多变流器双目标优化控制算法。搭建地铁牵引供电系统动态潮流仿真平台进行仿真验证，结果表明基于Goose通信的多变流器智能优化控制方法能够实现多个变流器的动态管理和协调控制，降低线路网络损耗以及钢轨电位。与传统的无通信优化控制相比，多变流器智能优化控制方法能够实时优化各变流器的输出特性，实现线路节能、安全运行的目标。

At present, each converter of traction substation in the metro line operates independently, which cannot realize real-time information interaction, precise adjustment and coordinated control, which increases the loss of the system network and reduces the system security performance. In order to solve this problem, the intelligent optimal control method of metro multi-converter based on Goose communication is proposed. The hierarchical control strategy for multi-converter is built based on the Goose communication network. Taking the minimum network loss and the minimum of the rail potential amplitude as the goals, a dual-objective optimization control algorithm for multi-converters based on the NSGA-II algorithm is proposed. A dynamic power flow simulation platform of the traction power supply system in metro line is built for simulation verification. The results show that the intelligent optimal control method of multi-converter based on Goose can realize the dynamic management and coordinated control of multi-converter, which will reduce the network loss and rail potential. Compared with the traditional optimization control without communication, the intelligent optimal control method of multi-converter can optimize the output characteristics of converters in real time, and realize the goal of energy-saving and safe operation.

多列车功率动态随机下柔性直流牵引供电潮流凸松弛优化与自适应控制,国家自然科学基金项目（面上项目，重点项目，重大项目）