EPNES: Pricing Transmission Congestion to Alleviate System Stability Constraints in Bulk Power Planning

电力传输是将大量能量从产生的地方转移到需要的地方的能力。尽管美国批发市场上交易的电量从1994年的几乎为零增长到2000年的800多兆瓦时，但投入输电系统的资金相对较少。因此，输电基础设施老化，导致“线路拥挤”，如受约束系统的实例增加，进口能力下降，线路负荷过重以及稳定性问题。因此，任何减少传输拥塞的努力都可以在用户选择和电力运行的经济效率方面提供实质性的好处。一种流行的拥堵管理定价被称为位置边际定价（LMP）。虽然LMP应该是一项有效的长期战略，但目前还没有协调一致的努力来使用LMP来减轻对稳定性的担忧。该项目的智力优势在于将LMP概念扩展到包括大容量电力系统的稳定限制区域。建议的工作将侧重于根据电力系统的基础物理定义稳定性约束，将这些约束纳入合适的优化模型，以及评估这种优化产生的经济影响。预计最重要的广泛影响之一是使用南方公司提供的实际大容量电力系统数据。基于这些数据的结果将允许对大型互联电力系统进行更现实的稳态和动态研究，这将是对电力工程研究界的重大贡献。

Transmission of electric power is the ability to move large volumes of energy from where it is generated to where is needed. Even though the quantity of power traded in the wholesale market in the United States went from almost nothing in 1994 to over 800 terrawatthours in 2000, there has been relatively little money put into the transmission system. Consequently, the transmission infrastructure is aged, resulting in "congested lines" such as increased instances of constrained systems, reduced import capability, heavily loaded lines, and stability problems. Therefore, any effort to reduce transmission congestion may provide substantial benefits in customer choice and economic efficiency in power operation. A popular type of congestion-management pricing is known as locational marginal pricing (LMP). Although LMP should be an effective long-term strategy, there has not been a concerted effort to use LMP to alleviate stability concerns. The intellectual merit of this project lies in extending the LMP concept to include stability-limited regions of bulk power systems. The proposed work will focus on defining the stability constraints based on the underlying physics of power systems, the inclusion of these constraints into suitable optimization models, and the evaluation of the economic implications produced by such optimizations. One of the most significant broader impacts anticipated is the use of actual bulk-power system data provided by Southern Company. The results based on this data will permit more realistic steady-state and dynamic studies of large interconnected power systems, which will be a major contribution to the power engineering research community.