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Real-time dynamic economic load dispatch integrated with renewable energy curtailment

机译:实时动态经济负载调度与可再生能源缩减相结合

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摘要

Recent power system operations are faced with the difficulties due to large penetration levels of intermitted renewable energy sources (RESs), for example, photovoltaic power (PV) generations and wind-turbine (WT) generations. Operations of a large number of uncontrollable RES also cause an unforeseen issue for the reliability in power system operation. To tackle the issue, this paper proposes a novel real-time generation schedule (GS) integrated with RES’ power curtailment. The proposed real-time GS become to effectively compute the outputs of the associated generating units so as to meet the required electricity load. The GS computation is frequently updated every 5-min in real-time operation. The proposed approach is applied for real-time dynamic economic load dispatch for a real-time GS that completely treats the limited controllable energy resources under the uncertainties. Furthermore, real-time PV forecasting with their covariance matrices of the prediction errors is effectively utilized in the approach. In case of a unforeseen situation when the estimated electricity load cannot match the controllable unit’s capability, the approach can be detect a minimum amount of supply-demand mismatch in advance, and can manage it reliably for the considerable time horizon.
机译:由于遍布可再生能源(RESS)的大穿透水平,例如光伏电力(PV)代和风力涡轮机(WT)代,最近的电力系统操作面临困难。大量无法控制的RES的操作也导致电力系统操作的可靠性不可预见的问题。为了解决问题,本文提出了一种与RES'权力缩减集成的新型实时发电时间表(GS)。所提出的实时GS成为有效地计算相关生成单元的输出,以满足所需的电力负载。 GS计算经常在实时操作中每隔5分钟更新。拟议的方法适用于实时动态经济负载调度,用于实时GS,其在不确定性下完全处理有限的可控能量资源。此外,采用预测误差的协方差矩阵的实时PV预测有效地利用了该方法。如果在估计的电力负载不能符合可控单元的能力时,这种方法可以预先检测最小供需不匹配量,并且可以可靠地管理相当大的时间范围。

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