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

机译:电力平衡市场的极端价格来自于   统计物理学

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摘要

An increase in energy production from renewable energy sources is viewed as acrucial achievement in most industrialized countries. The higher variability of power production via renewables leads to a rise inancillary service costs over the power system, in particular costs within theelectricity balancing markets, mainly due to an increased number of extremeprice spikes. This study focuses on forecasting the behavior of price andvolumes of the Italian balancing market in the presence of an increased shareof renewable energy sources. Starting from configurations of load and powerproduction, which guarantee a stable performance, we implement fluctuations inthe load and in renewables; in particular we artificially increase thecontribution of renewables as compared to conventional power sources to coverthe total load. We then forecast the amount of provided energy in the balancingmarket and its fluctuations, which are induced by production and consumption.Within an approach of agent based modeling we estimate the resulting energyprices and costs. While their average values turn out to be only slightlyaffected by an increased contribution from renewables, the probability forextreme price events is shown to increase along with undesired peaks in thecosts.
机译:在大多数工业化国家,可再生能源的能源生产增加被认为是一项可喜的成就。通过可再生能源发电的较高可变性导致整个电力系统的辅助服务成本上升,尤其是电力平衡市场内的成本上升,这主要是由于极端价格上涨的次数增加所致。这项研究的重点是在可再生能源份额增加的情况下预测意大利平衡市场的价格和交易量。从保证稳定性能的负载和发电配置开始,我们实现了负载和可再生能源的波动;特别是,与传统电源相比,我们人为地增加了可再生能源的贡献,以覆盖总负荷。然后,我们预测了平衡市场中由生产和消耗引起的能源供应量及其波动。在基于代理的建模方法中,我们估算了由此产生的能源价格和成本。虽然它们的平均值只受到可再生能源贡献的增加的轻微影响,但极端价格事件的概率却随着不希望的成本峰值而增加。

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