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The effects of wind generation and other market determinants on price spikes

机译:风发电和其他市场决定因素对价格尖峰的影响

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Electricity spot prices have shifted in response to increasing renewable energy infrastructure throughout the United States in recent decades. These shifts manifest as changes in the spot price mean and variance. One major factor influencing the variance of spot prices is the prevalence of price spikes. How renewables influence the magnitude and frequency of price spikes is not well understood. This study examines the influence of wind and additional determinants (load, nuclear generation, natural gas prices, as well as the load-to-capacity ratio) on electricity spot prices in the Electric Reliability Council of Texas system using a multiple regression mixture model framework. We focus on the influence of these determinants on the magnitude of spot prices within a lowprice regime and a high-price regime, with the latter representative of price spikes. We also examine how system determinants influence the frequency of occurrence of each regime. We show that increases in wind generation drive average spot prices down in both the low and high price regime. However, system shortfalls of wind generation, particularly during times of high load, result in increased price magnitudes in both regimes, as well as more frequent price spike events.
机译:近几十年来,电力现货价格已经转变为越来越多的可再生能源基础设施。这些转变表现为现货价格的变化和方差。影响现货价格方差的一个主要因素是价格尖峰的普遍性。可再生能源如何影响价格尖峰的幅度和频率并不充分理解。本研究探讨了风和额外的决定因素的影响(负载,核生物,天然气价格以及负载能力比率)使用多元回归混合模型框架在德克萨斯体系的电力可靠性委员会中的电力现货价格。我们专注于这些决定因素对低价制度内的现货价格和高价格政权的影响,后者代表价格尖峰。我们还检查系统决定因素如何影响每个方案的发生频率。我们展示了风力发电的增加在低价格制度中推动了平均点价格下跌。然而,风力产生的系统缺失,特别是在高负荷期间,导致两个制度的价格幅度增加,以及更频繁的价格尖峰事件。

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