AI 中文总结
本文针对本地灵活性市场中现有方法忽略灵活性经济价值的问题，提出嵌入DSO支付意愿的动态灵活性请求方法，经基准验证可提升市场流动性与运行效率。
AI 中文摘要
本地灵活性市场（LFMs）要求配电系统运营商（DSOs）在市场出清时同时确定采购灵活性的数量及对应的支付意愿。现有方法通常依赖不切实际的集中式交流最优潮流（AC-OPF）出清算法，或主要由拥堵管理驱动的严格本地化、静态灵活性请求，却在很大程度上忽略了灵活性的经济价值。本文提出一种动态灵活性请求方法，该方法通过将变压器、电缆老化、网络损耗及电压拥堵的货币化价值直接纳入市场出清目标，嵌入DSO的支付意愿。为实现计算高效的出清，本文开发了IEEE C57.91变压器老化模型与基于阿伦尼乌斯（Arrhenius）的电缆老化模型的精确凸分段线性上境图重构，并经形式证明其保持精确性。所提框架在改进的CIGRE中压（MV）基准上进行验证，并与近期最先进的灵活性请求方法对比。结果表明，该框架在保持市场透明度与非歧视原则的同时，显著提升了市场流动性、灵活性采购效率及网络运行水平。
英文摘要
Local Flexibility Markets (LFMs) require Distribution System Operators (DSOs) to determine both the quantity of flexibility to procure and the corresponding willingness to pay during market clearing. Existing approaches typically rely on unrealistic centralized AC-OPF clearing algorithms or strictly localized, static flexibility requests driven primarily by congestion management, while the economic value of flexibility is largely neglected. This paper proposes a dynamic flexibility-request methodology in which the DSO's willingness to pay is embedded directly into the market-clearing objective by monetizing transformer and cable aging, network losses, and voltage congestion. To enable computationally efficient clearing, exact convex piecewise-linear epigraph reformulations of the IEEE C57.91 transformer aging model and an Arrhenius-based cable aging model are developed and formally proven to preserve exactness. The proposed framework is validated on a modified CIGRE MV benchmark and compared with a recent state-of-the-art flexibility-request methodology. The results demonstrate significantly higher market liquidity, more efficient flexibility procurement, and improved network operations while preserving the market's transparency and non-discrimination principles.
