发表机构
University of Houston（休斯顿大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种集成虚拟输电线路（VTL）的发电与输电扩展规划模型，通过协调两个电池储能系统避免同时充放电来缓解电网拥堵，在IEEE 24节点系统上实现总拥堵降低12.3%、支路拥堵最高降低约67%，且规划成本仅增加0.3%。
AI 中文摘要
本文提出了一种长期发电与输电扩展规划（GTEP）的数学模型，该模型将松弛的虚拟输电线路（VTL）作为输电资产替代储能（SIPTA）策略进行集成，以应对放松管制的电力市场中输电容量短缺和系统拥堵所带来的挑战，尤其是在可再生能源资源和集成数据中心快速增长的情况下。所提出的VTL公式通过协调构成VTL对的两个电池储能系统（BESS）的运行，防止它们同时充电或放电，从而在不向目标函数中引入显式拥堵成本的情况下提供额外的拥堵缓解。对改进的IEEE 24节点系统进行的基准案例研究表明，与独立BESS案例相比，VTL减少了系统拥堵，实现了加权总拥堵减少12.3%，单个输电支路拥堵减少最高约67%，而总规划成本仅增加0.3%。此外，多个拥堵指标的改善表明，VTL的效益不仅限于减少拥堵线路小时数，还扩展到减少基准案例中的拥堵租金和N-1输电违规。这些结果证明了VTL在提供拥堵缓解方面具有潜力，可补充独立BESS的应用。
英文摘要
This paper proposes a mathematical model for long-term Generation and Transmission Expansion Planning (GTEP) that integrates a relaxed Virtual Transmission Line (VTL) as a Storage in Place of Transmission Asset (SIPTA) strategy to address challenges posed by transmission capacity shortages and system congestion in deregulated power markets, particularly under the rapid growth of renewable energy resources and integrated data centers. The proposed VTL formulation coordinates the operation of the two battery energy storage systems (BESSs) forming a VTL pair by preventing them from charging or discharging simultaneously, thereby providing additional congestion relief without introducing an explicit congestion cost into the objective function. Base case studies on a revised IEEE 24-bus system demonstrate that VTL reduces system congestion compared with the standalone BESS case, achieving a 12.3% reduction in weighted total congestion and up to approximately 67% reduction in congestion on individual transmission branches, with only a 0.3% increase in total planning cost. Furthermore, improvements across multiple congestion metrics indicate that the benefits of VTL extend beyond reducing congested line-hours to reducing congestion rent and N-1 transmission violations in the base case. These results demonstrate the potential of VTL to provide congestion mitigation that complements standalone BESS applications.
CommentsSubmitted to Energy Conversion and Economics
