无燃料成本的价格形成:弹性需求与存储竞价的相互作用

Tom Brown, Fabian Neumann, Iegor Riepin
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引用次数: 0

摘要

针对风能和太阳能比例非常高的电力市场设计进行的研究往往得出这样的结论:纯能源市场将崩溃。据说,如果没有燃料成本,就没有任何东西可以确定价格。市场崩溃的症状包括:长时间的零价格、稀缺性价格高到政治上无法接受、价格在长期均衡的微小容量扰动下崩溃、成本回收因市场价值低而无法实现、不同天气年份之间的收入变化很大,以及在有限的预见性下难以操作长期存储。请注意,所有这些问题都是完全弹性需求建模的产物。需求支付意愿和储能机会成本的综合作用足以产生稳定的定价。风能、太阳能、电池和基于氢的储能模型说明了这一行为,在该模型中,每条线性需求曲线都消除了高价格峰值,并将零价格小时数的比例从 90% 降低到约 30%,而且在容量扰动和不同天气年份中,价格更加稳定。此外,我们还表明,在弹性需求的情况下,长期模型完全重现了相同容量下短期模型的价格。然后,我们利用从长期模型中得到的启示,推导出简单的储能竞标策略,这样我们就可以在有限的运营预见下运行短期模型。我们在一个根据 35 年气象数据训练的模型中演示了这种短期运行方式,并根据另外 35 年的未见数据进行了测试。我们的结论是,未来纯能源市场仍能在协调调度和投资方面发挥关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Price formation without fuel costs: the interaction of elastic demand with storage bidding
Studies looking at electricity market designs for very high shares of wind and solar often conclude that the energy-only market will break down. Without fuel costs, it is said that there is nothing to set prices. Symptoms of breakdown include long phases of zero prices, scarcity prices too high to be politically acceptable, prices that collapse under small perturbations of capacities from the long-term equilibrium, cost recovery that is impossible due to low market values, high variability of revenue between different weather years, and difficulty operating long-term storage with limited foresight. We argue that all these problems are an artefact of modeling with perfectly inelastic demand. If short-term elasticity to reflect today's flexible demand (-5%) is implemented in the model, these problems are significantly reduced. The combined interaction of demand willingness to pay and storage opportunity costs is enough to produce stable pricing. This behavior is illustrated by a model with wind, solar, batteries, and hydrogen-based storage, where a piecewise linear demand curve removes high price peaks and reduces the fraction of zero-price hours from 90% to around 30%, and entails more price stability for perturbations of capacity and different weather years. Furthermore, we show that with elastic demand, the long-term model exactly reproduces the prices of the short-term model with the same capacities. We then use insights from the long-term model to derive simple bidding strategies for storage so that we can also run the short-term model with limited operational foresight. We demonstrate this short-term operation in a model trained on 35 years of weather data and tested on another 35 years of unseen data. We conclude that the energy-only market can still play a key role in coordinating dispatch and investment in the future.
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