发表机构
Oak Ridge National Lab（橡树岭国家实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出DRM、RRE等指标，结合RCUC状态量化电力系统备用充足性，通过IEEE 14节点示例及大规模案例验证，其可表征传统指标未覆盖的备用特性。
AI 中文摘要
我们提出动态备用裕度（DRM）作为一种由风险约束机组组合（RCUC）状态推导而来的时变运行充足性度量指标。DRM利用已承诺机组在5分钟响应窗口内相对于不确定性和事故备用需求可提供的额外发电容量，量化备用充足性。我们引入互补的备用风险包络（RRE）指标，以可直接解释的兆瓦（MW）为单位量化运行备用余量。进一步开发低裕度持续时间指标，以量化运行周期内备用压力的持续时间。我们使用IEEE 14节点示例说明这些概念，随后在多种运行场景下开展大规模RCUC案例研究。结果表明，备用需求和 ramp-accessible 备用能力在不同运行条件下会发生显著变化，且机组组合决策会适应不断变化的系统条件以维持备用充足性。所提出的DRM和RRE指标提供了备用充足性的可解释运行表征，揭示了传统备用裕度指标无法捕捉的备用可及性和压力持续性。
英文摘要
We propose Dynamic Reserve Margin (DRM) as a time-varying operational adequacy metric derived from risk-constrained unit commitment (RCUC) states. DRM quantifies reserve adequacy using the additional generation capacity that committed generators can provide within a 5-minute response window relative to uncertainty and contingency reserve requirements. We introduce a complementary Reserve Risk Envelope (RRE) metric to quantify operational reserve headroom in directly interpretable MW terms. A low-margin duration metric is further developed to quantify the persistence of reserve stress over an operating horizon. We use an IEEE 14-bus example to illustrate these concepts, followed by large-scale RCUC case studies under multiple operating scenarios. Results demonstrate that reserve requirements and ramp-accessible reserve capability can vary substantially across operating conditions, and that commitment decisions adapt to maintain reserve adequacy under changing system conditions. The proposed DRM and RRE metrics provide an interpretable operational characterization of reserve adequacy, reveal reserve accessibility and stress persistence that are not captured by conventional reserve margin metrics.
