论文标题

对水电对系统电价和价格波动的作用的强大统计分析

A Robust Statistical Analysis of the Role of Hydropower on the System Electricity Price and Price Volatility

论文作者

Owolabi, Olukunle O., Lawson, Kathryn, Sengupta, Sanhita, Huang, Yingsi, Wang, Lan, Shen, Chaopeng, Sherman, Mila Getmansky, Sunter, Deborah A.

论文摘要

水力发电(水力发电)的独特之处在于,它既可以用作传统的电力来源,又可以充当备用存储(泵送水电存储),以便在需求较高的网格需求时提供能量。这项研究研究了水电对新英格兰独立系统运营商(ISONE)在2014年至2020年开始服务的系统电力价格和价格波动的影响。我们对均值和分位效应以及水力发电在实物和风力资源的存在中的边际贡献进行了强大的整体分析。首先,针对确定性的时间趋势进行调整,纠正季节性,周末和昼夜效应,这些效果可能会掩盖数据中实际的代表性趋势。使用多个线性回归和分位数回归,我们观察到水电有助于降低系统电价和价格波动。尽管水力发电对均值下降和波动性的影响较小,但在极端分位数(> 70%)时,它具有更大的影响。在这些较高的百分位数下,我们发现水力发电在存在诸如风力的波动资源的存在下对价格波动产生了稳定的影响。最后,我们讨论了水电与系统电价与波动率之间观察到的关系。

Hydroelectric power (hydropower) is unique in that it can function as both a conventional source of electricity and as backup storage (pumped hydroelectric storage) for providing energy in times of high demand on the grid. This study examines the impact of hydropower on system electricity price and price volatility in the region served by the New England Independent System Operator (ISONE) from 2014 - 2020. We perform a robust holistic analysis of the mean and quantile effects, as well as the marginal contributing effects of hydropower in the presence of solar and wind resources. First, the price data is adjusted for deterministic temporal trends, correcting for seasonal, weekend, and diurnal effects that may obscure actual representative trends in the data. Using multiple linear regression and quantile regression, we observe that hydropower contributes to a reduction in the system electricity price and price volatility. While hydropower has a weak impact on decreasing price and volatility at the mean, it has greater impact at extreme quantiles (> 70th percentile). At these higher percentiles, we find that hydropower provides a stabilizing effect on price volatility in the presence of volatile resources such as wind. We conclude with a discussion of the observed relationship between hydropower and system electricity price and volatility.

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