[关键词]
[摘要]
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。
[Key word]
[Abstract]
At present, each converter of a traction substation in a metro line operates independently, which cannot achieve real-time information interaction, precise adjustment, and coordinated control, thus increasing the loss of the system network and reducing system security performance. To address this problem, an intelligent optimal control method for metro multiconverters based on GOOSE communications is proposed in this study. A hierarchical control strategy for a multiconverter is built based on goose communication network. Setting the minimum network loss and minimum rail potential amplitude as the goals, a dual-objective optimization control algorithm for multiconverters based on NSGA-II algorithm is proposed. A dynamic power flow simulation platform of the traction power supply system in a metro line was built for simulation verification. The results show that the intelligent optimal control method of a multiconverter based on the GOOSE communication can realize the dynamic management and coordinated control of multiconverters, reducing network loss and rail potential. Compared with the traditional optimization control without communication, the intelligent optimal control method of a multiconverter can optimize the output characteristics of converters in real time, and realize the goal of energy saving and safe operation.
[中图分类号]
U231
[基金项目]
国家自然科学基金项目(52007128)