论文标题

(机器)从Covid-19锁定电力市场性能的封锁中学习,并有很大的可再生能源

(Machine) Learning from the COVID-19 Lockdown about Electricity Market Performance with a Large Share of Renewables

论文作者

Graf, Christoph, Quaglia, Federico, Wolak, Frank A.

论文摘要

COVID-19锁定引起的负面需求冲击减少了对电力的净需求 - 系统需求较少,由间歇性可再生能源,水力发电单元和净进口产生的能量较少 - 必须由可控的发电单元服务。在正常的需求条件下,引入额外的可再生生成能力减少了净需求。因此,锁定可以提供有关电力市场性能的见解,并具有很大的可再生能源。我们发现,尽管锁定在意大利的平均每日价格降低了45%,但重新调查成本增加了73%,这两者相对于前几年同期的平均幅度的平均值。我们使用2017--2019的数据估算了一个深度学习模型,并发现预测在锁定期间的重新查看成本仅比往年同期高26%。我们认为,实际和预测的锁定期重新查看成本之间的差异是在这些持续较低的净需求条件下,具有可控单位的供应商增加了可控单位的供应商的机会。我们的结果表明,如果没有电网投资和其他技术来管理低需求条件,则间歇性可再生能源的份额增加可能会增加维持可靠网格的成本。

The negative demand shock due to the COVID-19 lockdown has reduced net demand for electricity -- system demand less amount of energy produced by intermittent renewables, hydroelectric units, and net imports -- that must be served by controllable generation units. Under normal demand conditions, introducing additional renewable generation capacity reduces net demand. Consequently, the lockdown can provide insights about electricity market performance with a large share of renewables. We find that although the lockdown reduced average day-ahead prices in Italy by 45%, re-dispatch costs increased by 73%, both relative to the average of the same magnitude for the same period in previous years. We estimate a deep-learning model using data from 2017--2019 and find that predicted re-dispatch costs during the lockdown period are only 26% higher than the same period in previous years. We argue that the difference between actual and predicted lockdown period re-dispatch costs is the result of increased opportunities for suppliers with controllable units to exercise market power in the re-dispatch market in these persistently low net demand conditions. Our results imply that without grid investments and other technologies to manage low net demand conditions, an increased share of intermittent renewables is likely to increase costs of maintaining a reliable grid.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源