Abstract Extreme prices in electricity balancing markets from an approach of statistical physics
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Extreme prices in electricity balancing markets from an approach of statistical physics

机译:来自统计物理方法的电力平衡市场的极端价格

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AbstractAn increase in energy production from renewable energy sources is viewed as a crucial achievement in most industrialized countries. The higher variability of power production via renewables leads to a rise in ancillary service costs over the power system, in particular costs within the electricity balancing markets, mainly due to an increased number of extreme price spikes. This study analyzes the impact of an increased share of renewable energy sources on the behavior of price and volumes of the Italian balancing market. Starting from configurations of load and power production, which guarantee a stable performance, we implement fluctuations in the load and in renewables; in particular we artificially increase the contribution of renewables as compared to conventional power sources to cover the total load. We then determine the amount of requested energy in the balancing market and its fluctuations, which are induced by production and consumption. Within an approach of agent-based modeling we estimate the resulting energy prices and costs. While their average values turn out to be only slightly affected by an increased contribution from renewables, the probability for extreme price events is shown to increase along with undesired peaks in the costs. Our methodology provides a tool for estimating outliers in prices obtained in the energy balancing market, once data of consumption, production and their typical fluctuations are provided.Highlights
机译:<![CDATA [ 抽象 在从可再生能源产生能量的增加被认为是在大多数工业化国家的一个关键的成就。电力生产的可再生能源通过导线的高可变性的电力平衡市场中的辅助服务成本的上升在电力系统中,特别是成本,这主要是由于极端价格暴涨的数量增加。这项研究分析了可再生能源的比例提高价格和意大利平衡市场的体积行为的影响。从负荷和电力生产的配置,保证了稳定的性能出发,我们实现负载和可再生能源的波动;特别是我们相比于传统的动力源来覆盖的总负载人为地增加可再生能源的贡献。然后,我们决定要求的能量在平衡市场和量的波动,这是由生产和消费引起的。在基于代理的建模的方法,我们估计所产生的能源价格和成本。虽然它们的平均值变成只稍受可再生能源的贡献增加,极端价格事件可能性示与在成本不理想的峰值增加一起。我们的方法提供了用于在能量平衡市场获得的价格估计异常值,提供了一次和消费,生产的数据的典型波动的工具 亮点

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