基于GOOSE通信的地铁多变流器智能优化控制方法研究

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...

Intelligent Optimal Control Method of Metro Multi-Converter Based on GOOSE Communication

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.