← 返回
基于Delta型级联H桥的APQC-ESS系统分析与控制用于同相铁路供电系统
Analysis and Control of Delta-Connected CHB-Based APQC-ESS for Co-Phase RPS
| 作者 | Kai Yang · Junyu Chen · Man-Chung Wong |
| 期刊 | IEEE Transactions on Industrial Electronics |
| 出版日期 | 2025年10月 |
| 卷/期 | 第 73 卷 第 2 期 |
| 技术分类 | 控制与算法 |
| 技术标签 | 储能变流器PCS 多电平 模型预测控制MPC 下垂控制 |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 |
语言:
中文摘要
针对铁路供电系统高能耗与电能质量问题,提出一种Delta型级联H桥(CHB)结构的有源电能质量调节器集成储能系统(APQC-ESS)。通过序分量解耦实现再生制动能量利用、无功补偿与负序电流抑制的多目标独立控制,并设计三阶段协同能量管理策略。实验证明其牵引能耗降低率和再生能量利用率分别提升26.6%和27.6%。
English Abstract
To address the high energy consumption and power quality (PQ) issues in railway power systems (PS), a delta-connected cascaded H-bridge (CHB) based active power quality conditioner integrating energy storage system (APQC-ESS) for co-phase RPS is proposed. First, the operating principles of APQC-ESS for regenerative braking energy (RBE) utilization, reactive power compensation, and negative sequence current (NSC) suppression are analyzed. Then, a multiobjective decoupled control strategy based on sequence component decomposition is developed to achieve independent control of above multiobjectives. On this basis, a collaborative energy management strategy is investigated to enable real-time multiobjective cooperative control for APQC-ESS under fluctuating traction loads. Specifically, the collaborative energy management categorizes RPS operating conditions into two types based on the NSC severity. Subsequently, a three-stage optimization strategy is employed to allocate APQC-ESS capacity to meet various compensation targets, while comprehensively considering capacity limitations and unbalanced power flow within the CHB branches. Finally, the effectiveness and feasibility of the proposed APQC-ESS and its control strategy is validated through experimental results and a filed data case study. The traction energy consumption reduction rate and RBE utilization rate are 26.6% and 27.6% higher than conventional compensation method.
S
SunView 深度解读
该文提出的Delta型CHB拓扑与多目标协同控制策略,可迁移应用于阳光电源ST系列储能变流器(PCS)及PowerTitan大型储能系统的电能质量增强模块,尤其适用于重载铁路/地铁等含强不平衡负荷的场景。建议在ST5000/6300PCS中嵌入序分量解耦控制固件,并结合iSolarCloud平台开发铁路微网专用电能质量诊断与优化APP,拓展电网侧储能+电能质量综合治理解决方案。