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通过增强故障后系统强度抑制级联连接模式下带同步调相机的特高压直流换相失败
Suppression to Commutation Failure of UHVDC in Hierarchical Connection Mode With Synchronous Condenser by Enhancing Post-Fault System Strength
| 作者 | Shenghu Li · Yikai Li |
| 期刊 | IEEE Transactions on Power Delivery |
| 出版日期 | 2025年1月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 多物理场耦合 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 同步调相机 高压直流输电 换相失败 动态短路比 协调控制 |
语言:
中文摘要
在级联连接模式下,特高压直流输电逆变侧同步调相机(SC)的无功功率影响系统强度及对换相失败(CF)的抑制效果。本文提出包含SC无功响应的动态短路比(DSCR)以量化故障后系统强度,并设计基于DSCR的协调控制策略。创新点包括:推导了计及双网等效阻抗与层间耦合的DSCR解析表达式,采用带遗忘因子的递推最小二乘与鲁棒估计方法实现DSCR在线辨识;建立多目标优化模型整定SC励磁参数以提升DSCR;提出基于增强DSCR的协调控制策略调节直流电流抑制CF。仿真验证了DSCR估计精度及该控制策略在不同故障下提升系统强度、抑制CF的有效性。
English Abstract
The reactive power of synchronous condenser (SC) at the inverter of the ultra HVDC (UHVDC) in the hierarchical connection mode affects the system strength and the suppression effect on the commutation failure (CF). In this paper, a dynamic short-circuit ratio (DSCR) including the reactive power response of the SC is proposed to quantify the post-fault system strength. A coordinated control against the CF with the DSCR is proposed. The novelties are, (1) The analytical expression of the DSCR with the impedances of the Thevenin equivalent of both grids and the inter-layer coupling is newly derived. The recursive least-square method with the forgetting factor and the robust estimation is proposed to obtain the DSCR. (2) A multi-objective optimization model is proposed to tune the excitation parameters of SC and enhance the DSCR. (3) A coordinated control with the enhanced DSCR is proposed to adjust the dc current to suppress the CF. The simulation results verify the accuracy of the estimated DSCR and the effect of the coordinated control on enhancing the system strength and avoiding the CF under different fault conditions.
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SunView 深度解读
该研究的动态短路比(DSCR)在线辨识与协调控制技术对阳光电源储能系统产品线具有重要应用价值。针对PowerTitan大型储能系统在特高压直流受端电网的并网场景,可借鉴其递推最小二乘算法实现系统强度实时评估,优化ST系列储能变流器的构网型GFM控制策略。该研究提出的多目标优化励磁参数整定方法可应用于储能系统无功功率协调控制,增强故障后电网支撑能力。特别是在新能源高渗透率场景下,该技术可提升阳光电源储能系统抑制换相失败、保障电网稳定的能力,为iSolarCloud平台增加智能诊断与预测性维护功能提供理论支撑,增强产品在特高压直流配套储能市场的竞争力。