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Robust unit commitment with characterised solar PV systems

机译:特有的太阳能光伏系统可实现强大的机组承诺

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This article addresses a critical issue on the robust unit commitment (RUC), which is the construction of an accurate and reliable uncertainty set for solar photovoltaic (PV) systems. The classic robust unit commitment (CRUC) provides an inaccurate and unreliable model for the highly intermittent solar generations. However, the authors' proposed uncertainty set utilises the forecast models that rely on the clear-sky and overcast solar forecasts, which are more accurate and reliable. The uncertainty set for solar generations is constructed based on the type of day, levels of daily uncertainty index (DUI) and daily energy index (DEI), and the uncertainty level of solar ramps. The test results on the IEEE 118-bus test system demonstrate that (i) using DEI and DUI reliably and efficiently manages and reduces the cost for highly uncertain and overcast day compared to the CRUC and (ii) the RUC cost is much sensitive to the selected level of DUI and DEI than the uncertainty level of the solar ramps.
机译:本文解决了关于鲁棒的单位承诺(RUC)的关键问题,即为太阳能光伏(PV)系统构建准确而可靠的不确定性集。经典的稳健单位承诺(CRUC)为高度间歇性的太阳能发电提供了不准确且不可靠的模型。但是,作者提出的不确定性集利用了依赖于晴空和阴天太阳预报的预报模型,该预报模型更为准确和可靠。根据天的类型,每日不确定性指数(DUI)和每日能源指数(DEI)的水平以及太阳能坡道的不确定性水平来构建为太阳能发电确定的不确定性。在IEEE 118总线测试系统上的测试结果表明:(i)与CRUC相比,使用DEI和DUI可以可靠,有效地管理和降低高度不确定和阴天的成本,并且(ii)RUC成本对选择的DUI和DEI级别要比太阳坡的不确定性级别高。

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