A Comparative Study of Capacity Market Demand Curve Designs Considering Risk-Averse Market Participants

Steffen Kaminski;Kenneth Bruninx;Erik Delarue
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Abstract

While capacity remuneration mechanisms are emerging around the globe, a variety of capacity demand curves is being used. Poorly tuned capacity demand curves can, however, lead to expensive over- or underprocurement of capacity. This work provides a methodology to directly compare different capacity demand curve design methodologies, accurately reflecting the net cost of new entry in the definition of the demand curves. To this end, a long-run equilibrium with energy-only and capacity markets with risk-averse market participants is considered. We find that sloped capacity demand curves, setting the net cost of new entry at the reliability target, and inelastic capacity demands, that are set to the reliability target, perform ideally assuming perfect foresight. Considering erroneous assumptions on the value-of-lost-load and risk-aversion, the results obtained using these sloped capacity demand curves are more sensitive to uncertainties than those using inelastic capacity targets. In contrast, conservatively tuned marginal reliability impact-based curves perform suboptimal assuming perfect foresight, but are less sensitive to erroneous parameterization.
考虑风险厌恶型市场参与者的容量市场需求曲线设计比较研究
虽然全球各地正在出现运力薪酬机制,但正在使用各种运力需求曲线。然而,调整不好的容量需求曲线可能导致昂贵的容量采购过剩或不足。这项工作提供了一种直接比较不同容量需求曲线设计方法的方法,准确地反映了需求曲线定义中新进入的净成本。为此,考虑了具有风险厌恶市场参与者的纯能源市场和产能市场的长期均衡。我们发现,在完全预见条件下,将新入厂净成本设定在可靠性目标的倾斜容量需求曲线和将新入厂净成本设定在可靠性目标的非弹性容量需求曲线表现理想。考虑对损失负荷值和风险规避的错误假设,使用倾斜容量需求曲线的结果比使用非弹性容量目标的结果对不确定性更敏感。相比之下,保守调整的基于边际可靠性影响的曲线在完全预见的情况下表现不佳,但对错误的参数化不太敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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