SGER: The Engineering Econometrics of Market Power in Electric Power Systems

SGER：电力系统市场力的工程计量经济学

• 批准号: 0333022
• 负责人: Robert Thomas
• 金额: $ 7.54万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-15 至 2004-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0333022&HistoricalAwards=false
• 关键词: SGER; Engineering; Econometrics; Market; Power

The high average prices and high volatility of prices in many restructured markets for electricity have raised concerns about the abuse of market power by generators. At the same time, information about the true costs of generation, that was readily available under regulation, is no longer disclosed by generators. Hence, it is becoming impractical to use a comparison of actual prices with competitive prices as the basis for identifying either the potential for or the use of market power. This proposal is about developing a new index or metric capable of evaluating a generator's potential for market power that doesn't rely on unavailable information or data. Unlike other indices in use by economists, the new index carries with it engineering information about the interconnecting network, its current topology, constraints and limitations. If the index is as innovative as it appears to be, it should also be relevant to identifying transmission bottlenecks of National interest and be able to assist in identifying ways to relieve them.With the restructuring of the electric power business from regulation to markets, ways to monitor and evaluate the performance are essential. The new FERC NOPR on Standard Market Design calls for ideas on market monitoring as well as market mitigation procedures. Virtually all of the metrics in the literature ignore the effects of market operation on the engineering, both planning and operations. The new metric suggested here is innovative in concept and, if the work is successful, it will provide the electric power industry with a new way to evaluate performance and thus, will have a substantial impact on the oversight of future electric power systems. Yet, the work is high risk because, while the index looks attractive, the computational tools and the data needed to compute it in real time are may impose intolerable limits. At present engineering information is not a part of electric power market evaluations, a major oversight at best. Successfully incorporating this information into a sensitivity-based measure will have thebroader impact of enhancing the understanding of the importance of this type of information by economists and engineers alike. The results of this work will be presented at various interdisciplinary conferences. The information will also be integrated into the course ECE551/AEM655 Power Systems Engineering and Economics, a course co-taught by the PI, an engineer, and Professor Timothy Mount, an economist.

许多重组市场的高平均价格和价格的高波动性引起了人们对发电机滥用市场电力的担忧。同时，发电机不再披露有关在法规中容易获得的有关发电的真实成本的信息。因此，将实际价格与有竞争力的价格进行比较作为确定市场电力的潜力或使用的基础，这是不切实际的。该建议是关于开发一个新的索引或指标，能够评估不依赖不可用的信息或数据的发电机的市场能力潜力。与经济学家使用的其他指数不同，新指数携带有关互连网络，当前拓扑，限制和局限性的IT工程信息。如果该指数看起来像它看起来一样创新，那么它也应该与确定国家利益的传播瓶颈并有能力协助确定缓解它们的方法。随着电力业务从监管到市场，监控和评估绩效的方式，这是必不可少的。标准市场设计的新FERC NOPR要求在市场监控以及市场缓解程序上提出想法。实际上，文献中的所有指标都忽略了市场运营对工程（计划和运营）的影响。这里建议的新指标在概念上具有创新性，如果工作成功，它将为电力行业提供一种评估性能的新方法，因此将对对未来电力系统的监督产生重大影响。但是，这项工作是高风险，因为虽然索引看起来很有吸引力，但计算工具和实时计算所需的数据可能会施加无法忍受的限制。目前，工程信息不是电力市场评估的一部分，这充其量是主要的监督。 成功地将这些信息纳入基于灵敏度的措施将对经济学家和工程师的理解增强对此类信息的重要性的理解产生影响。这项工作的结果将在各种跨学科会议上提出。该信息还将集成到ECE551/AEM655 Power Systems工程和经济学课程中，该课程由PI，工程师PI和经济学家Timothy Mount教授共同教授。