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PRICE VARIANCE IN EUROPEAN ELECTRICITY SPOT MARKETS – AN IMPACT ASSESSMENT OF INTERMITTENT RENEWABLE ENERGIES

机译:欧洲电力市场价格变化–间歇性可再生能源的影响评估

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OverviewLiberalization of electricity markets in the EU and a remarkable growth of intermittent renewable generation in thelast decade led to far-reaching price effects in Europe’s electricity spot markets. While the current literaturegenerally agrees on the reducing effect of intermittent renewable generation on the price level itself, the impact onthe price variance has not yet been fully analyzed. Differences in considered type of technology of renewablegeneration, market situation and time span lead to heterogeneous findings regarding the price variance in Europeanelectricity spot markets. Most studies that have been done on this topic conclude that price variance increases with anincreasing share of intermittent renewable generation. However, some authors show that increased shares ofintermittent renewable energies can as well decrease electricity price variance.Questions which are considered in this paper are:1. Which factors do generally have an influence on the variance of spot prices?2. Do spot prices become more fluctuating when higher shares of intermittent renewable energies are fed intothe grid?3. Which role does the generation of intermittent renewable energies play regarding the electricity spot pricevariance?MethodsFor answering those questions, two models - a theoretical and an empirical approach - are developed.Theoretical model:In a first methodical step, current literature on the question of price variance is analyzed. The most important impactfactors which are considered in comparable studies are the amount of intermittent renewable generation fed into thegrid, the variability of this generation, demand levels, and competitiveness of the market. Most studies concludingincreased price variance as a consequence of rising levels of intermittent renewable generation concentrate theiranalysis on wind power. The main basis of the theoretical model is a theoretical framework developed by Wozabal,Graf, & Hirschmann (2016). It identifies two main factors shaping price variance: distribution of residual demand,i.e. distribution of intermittent renewable generation, and shape of the supply curve.Empirical model:In a second methodical step, the theoretical model is tested in an empirical approach for Europe. It adds newevidence to the controversy by testing the hypothesis of two main influencing factors – the shape of the supply curveand the distribution of the residual demand - for the year 2015 in an econometric model for 23 countries in Europe.They equal 84 % of installed wind and photovoltaics capacities in the EU. A linear regression model identifies themost important factors shaping price variance. The analysis aims at testing the hypothesis in a broad range ofEuropean countries. This enables some general conclusions about electricity spot price variance in Europe like theyare already possible for the merit-order effect (Welisch, Ortner, & Resch, 2016).ResultsThe results show that there are two main influences impacting spot price variance which can be approved for themajority of countries analyzed: the variance of intermittent renewable generation on the one side, and time-wisecorrelation and interaction of demand and intermittent renewable generation on the other side. In the empiricalmodel, countries with an intermittent renewable energy share higher than 10 % are analyzed more in detail. Based onthe results of those countries, conclusions specifically for countries with a significant share of intermittent renewablegeneration can be drawn. The variance of the renewable production itself is a major driver for price variance in 67 %of those countries. Time-wise correlation and interplay of intermittent renewable generation and load show anegative impact on price variance in 77 % of those countries in Europe.The results allow for concluding remarks regarding the effect of the amount of intermittent renewable generation fedinto the grid. It can be shown that there is a quadratic influence of the average residual demand, i.e. the averageintermittent renewable generation, on the spot price variance. That means that very high as well as very low shares ofaverage intermittent renewable generation can increase price variance significantly. Moderate amounts ofintermittent renewable generation though can even lower price variance in the majority of those countries. As aconsequence, there exists a phase of lower price variance on the path towards higher renewable generation shares inmany countries. During this phase, price variance tends to be lower than at the beginning and towards the end of theexpansion of renewable generation shares. This time period can be determined for each country using the empiricalmodel.ConclusionsIn the current market design, price variance is an important trigger for investments to secure network stability likestorage facilities, demand-side management, and flexibility measures. With moderate levels of intermittent renewableenergies decreasing price variance in Europe, policy measures become necessary in addition to market-basedincentives to ensure investments during those times. Otherwise, a sustainable realization of renewable energy targetsmight be at risk since the results confirm as well that high shares of intermittent renewable energies increase the spotprice variance and require, therefore, those investments in network stability.
机译:概述 欧盟电力市场的自由化和间歇性再生能源的显着增长 过去十年导致欧洲电力局​​部市场的价格效果深远。而目前的文献 一般同意在价格水平本身对间歇性再生代的降低效果,影响 价格方差尚未完全分析。可再生技术考虑的差异 一代,市场形势和时间跨度导致关于欧洲价格方差的异质结果 电力斑点市场。在这个主题上完成的大多数研究得出结论,价格方差随着一个 增加间歇性再生代的份额。但是,一些作者表明增加了增加的份额 间歇可再生能量可以减少电价方差。 本文考虑的问题是: 1.哪些因素通常对现货价格的差异产生影响? 2.当喂养更高的间歇性可再生能量的股份时,现货价格变得更加波动 网格? 3.在电力点价格中,间歇性再生能源的产生在哪种作用 方差? 方法 为了回答这些问题,两个模型 - 是一个理论和经验方法 - 是开发的。 理论模型: 在第一有条理的步骤中,分析了价格方差问题的当前文献。最重要的影响 在类似研究中考虑的因素是送入的间歇性再生代的量 网格,这一代的可变性,需求水平和市场竞争力。大多数研究结束了 由于间歇性可再生代层级数集中的升高而增加了价格方差 风电分析。理论模型的主要基础是由Wozabal开发的理论框架, 格拉夫,&hirschmann(2016)。它识别塑造价格方差的两个主要因素:剩余需求分配, 即间歇性再生生成的分布和供应曲线的形状。 经验模型: 在第二种方法步骤中,理论模型以欧洲的经验方法进行测试。它增加了新的 通过测试两个主要影响因素的假设来证明争议 - 供应曲线的形状 以及剩余需求的分布 - 2015年欧洲23个国家的计量计量模型。 它们等于欧盟的安装风和光伏能量的84%。线性回归模型标识 最重要的因素塑造价格方差。分析旨在在广泛的范围内测试假设 欧洲国家。这使得欧洲电力点价格方差的一般性结论可以像它们一样 对于优点效应已经可能(Welisch,Ortner,&Resch,2016)。 结果 结果表明,有两个主要影响影响现货价格方差,可以获得批准 分析了大多数国家:一方间歇性再生生成的方差,以及时间明智 另一边的需求与间歇再生能力的相关性与相互作用。在经验中 模型,细间间可再生能源份额高于10%的国家进行详细分析。基于 这些国家的结果,结论特别适用于间歇性再生份额的国家 可以绘制一代。可再生生产本身的差异是价格方差67%的主要驱动因素 那些国家。间歇性再生生成和负荷显示的时间明智的相关性和相互作用 对欧洲这些国家的77%的价格方差产生负面影响。 结果允许关于喂养间歇性再生代一代的效力的结论备忘录 进入网格。可以表明,平均剩余需求存在二次影响,即平均值 间歇性再生代,现货价格方差。这意味着非常高的和非常低的份额 平均间歇性可再生生成可以显着提高价格方差。适量 间歇性可再生一代甚至可以降低这些国家大多数的价格方差。作为一个 结果,存在对更高的可再生生成股票的路径下降的较低价格方差的阶段 很多国家。在此阶段,价格方差往往低于开始和朝向结束 扩大可再生一代股。可以使用经验的每个国家确定此时间段 模型。 结论 在目前的市场设计中,价格方差是投资的重要触发器,以确保网络稳定性 储存设施,需求方管理以及灵活性措施。具有中等水平的间歇性可再生能源 能源减少了欧洲的价格差异,除了基于市场的措施外,还必须采取政策措施 在那段时期内确保投资的激励措施。否则,可持续实现可再生能源目标 由于结果也证实,间歇性可再生能源的高比例会增加现货,因此可能存在风险 价格差异,因此需要对网络稳定性进行这些投资。

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