测试替代电力市场设计的性能:方法与案例研究

Adam Suski;Debabrata Chattopadhyay;Claire Nicolas
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摘要

批发市场的设计选择在四十年后仍在争论不休,尤其是在考虑到去碳化目标的情况下。本文展示了纳什-库诺均衡模型如何将容量、能源和辅助服务结合起来。该模型将多年产能扩张与调度决策相结合,以捕捉发电商的长期博弈行为,包括有碳约束和无碳约束的进入和短期产能退出决策。该模型针对格鲁吉亚进行了部署,格鲁吉亚是东欧一个以水电为主的系统,将于 2024 年引入一个新的市场。模型分析考察了替代设计方案在支持该国电力行业去碳化方面的表现。结果表明,在这样的系统中,拟议的纯能源市场(EO)设计表现出色,在有排放限制和无排放限制的情况下都能产生最低价格,且不会加剧波动。虽然 EO 设计带来的容量较少,导致预期未服务能源(EUE)较高,但它并没有违反现有的可靠性标准,尽管我们表明,在极端低水力可用性情况下,它确实会使系统面临电力短缺。相反,容量市场方案可能会导致大量容量过剩,尽管会抑制价格波动和 EUE。虽然这些发现是针对格鲁吉亚的,但该建模框架可用于其他系统/国家,以评估市场设计建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing Alternative Electricity Market Design Performances: Methodology and Case Study
Wholesale market design choices continue to be debated after four decades, especially as they are being scrutinized in light of the decarbonization goals. This paper shows how a Nash-Cournot equilibrium model can combine capacity, energy, and ancillary services. The model integrates multi-year capacity expansion with dispatch decisions to capture the gaming behavior of generators in the long term, including entry and short-term capacity withdrawal decisions with and without carbon constraints. The model is deployed for Georgia, a hydro-dominated system in Eastern Europe where a new market will be introduced in 2024. The modeling analysis examines how alternative design options perform to support the country's power sector decarbonization. The results show that, in such a system, the proposed energy-only (EO) marke design performs well, yielding the lowest prices without exacerbating volatility both with and without emission constraints. Although the EO design brings in less capacity, leading to higher expected unserved energy (EUE), it does not breach the incumbent reliability standard, albeit we show that it does expose the system to power shortage in extreme low hydro availability scenarios. On the contrary, the options with a capacity market may lead to significant excess capacity, albeit curbing price volatility as well as EUE. While these findings are specific to Georgia, the modeling framework can be deployed in other systems/countries to evaluate market design proposalst.
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