发表机构
College of Electrical Engineering, Sichuan University（四川大学电气工程学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对可再生能源电转氢系统中晶闸管整流器的谐波问题，提出运行谐波协调方案，通过两层框架与分解算法实现谐波合规，可提升利润31%并降低整流成本37.5%，替代高阶整流器
AI 中文摘要
晶闸管整流器（TRs）是可再生能源电转氢（ReP2H）系统中具有成本效益的电解电源，但其产生的谐波可能违反电网标准限值。与依赖高阶（如24脉冲）整流器的传统解决方案不同，本文提出一种运行谐波协调方案，该方案可通过协调运行使低成本12脉冲TRs满足谐波要求。首先，构建谐波模型量化整流变压器（RCT）分接头位置和电解电流的影响，实现多个电解槽（ELZs）间的谐波抵消。随后，采用两层框架协调制氢与谐波抑制：小时级调度在可再生能源不确定性下，通过随机规划和改进的渐进式 hedging 算法确定谐波可行域内的ELZ投运状态；分钟级调度跟踪可再生能源功率并抑制谐波。此外，采用分解算法将生产调度与谐波抑制分离以提升计算效率。基于实际项目的案例研究表明，所提方法相比仅电流调节可使利润提升31%；年度仿真进一步显示，通过额外的RCT分接头调节换取更低的变压器投资，协调运行的12脉冲TRs可替代24脉冲整流器以满足谐波合规要求，使整流阶段成本降低37.5%。
英文摘要
Thyristor rectifiers (TRs) are cost-effective electrolysis power supplies for renewable power-to-hydrogen (ReP2H) systems, but their harmonics may violate grid-code limits. In contrast to conventional solutions that rely on higher-pulse (such as 24-pulse) rectifiers, this paper proposes an operational harmonic coordination scheme that enables low-cost 12-pulse TRs to meet harmonic requirements through coordinated operation. First, a harmonic model quantifies the effects of rectifier transformer (RCT) tap positions and electrolytic currents, enabling harmonic cancellation among multiple electrolyzers (ELZs). A two-layer framework then coordinates hydrogen production and harmonic mitigation. Hourly scheduling determines ELZ commitment within the harmonic feasible region under renewable uncertainty using stochastic programming and a modified progressive hedging algorithm, while minute-level dispatch tracks renewable power and mitigates harmonics. A decomposition algorithm separates production dispatch from harmonic mitigation to improve computational efficiency. Case studies based on real-life projects show that the proposed method increases profit by 31% over current-only regulation. Annual simulations further show that coordinated 12-pulse TRs can replace 24-pulse rectifiers for harmonic compliance by exchanging additional RCT tap actions for lower transformer investment, reducing rectification-stage cost by 37.5%.
