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A predictive pan-European economic and production dispatch model for the energy transition in the electricity sector

机译:一个预测泛欧经济和生产调度模型   电力部门的能源转型

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摘要

The energy transition is well underway in most European countries. It has agrowing impact on electric power systems as it dramatically modifies the wayelectricity is produced. To ensure a safe and smooth transition towards apan-European electricity production dominated by renewable sources, it is ofparamount importance to anticipate how production dispatches will evolve, tounderstand how increased fluctuations in power generations can be absorbed atthe pan-European level and to evaluate where the resulting changes in powerflows will require significant grid upgrades. To address these issues, weconstruct an aggregated model of the pan-European transmission network which wecouple to an optimized, few-parameter dispatch algorithm to obtain time- andgeographically-resolved production profiles. We demonstrate the validity of ourdispatch algorithm by reproducing historical production time series for allpower productions in fifteen different European countries. Having calibratedour model in this way, we investigate future production profiles at laterstages of the energy transition - determined by planned future productioncapacities - and the resulting interregional power flows. We find that largepower fluctuations from increasing penetrations of renewable sources can beabsorbed at the pan-European level via significantly increased electricityexchanges between different countries. We identify where these increasedexchanges will require additional power transfer capacities. We finallyintroduce a physically-based economic indicator which allows to predict futurefinancial conditions in the electricity market. We anticipate new economicopportunities for dam hydroelectricity and pumped-storage plants.
机译:在大多数欧洲国家中,能源转型正在顺利进行。它极大地改变了发电方式,对电力系统产生了越来越大的影响。为了确保安全,平稳地过渡到以可再生能源为主的泛欧电力生产,最重要的是预见生产调度将如何发展,了解如何在泛欧范围内吸收发电量波动的增加并评估在哪里随之而来的潮流变化将要求对电网进行重大升级。为了解决这些问题,我们构建了泛欧输电网络的汇总模型,将其耦合到优化的少参数调度算法,以获得时间和地理解析的生产资料。我们通过重现15个不同欧洲国家中所有电力生产的历史生产时间序列来证明我们的调度算法的有效性。通过这种方式校准了我们的模型,我们研究了能源转型后期的未来生产情况(由计划的未来生产能力确定)以及由此产生的区域间电力流动。我们发现,通过扩大不同国家之间的电力交换,可以在泛欧洲范围内吸收可再生能源渗透率增加带来的大功率波动。我们确定这些增加的交换将在哪里需要额外的功率传输能力。我们最终引入了一种基于物理的经济指标,该指标可以预测电力市场的未来财务状况。我们预计大坝水力发电和抽水蓄能电站将带来新的经济机会。

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