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Optimal scheduling the wind-solar-storage hybrid generation system considering wind-solar correlation

机译:考虑风光关联的风光储能混合发电系统最优调度

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An optimal scheduling approach on the wind-solar-storage generation system which considers the correlation among wind power, photovoltaic output and load is proposed in this paper. The object of scheduling model is to track load curve given by the grid dispatch center in the largest degree, and constraints includes upper and lower bound of each unit output, the maximum allowable spilling wind, photovoltaic output, and storage unit operating constraints. Spearman correlation coefficient ρs is used to deal with the correlation between two random variables, then used to determine the priority order of scheduling. Taking an example of a 24-hour wind, photovoltaic power forecast and demand curve, the proposed method is validated. The results show that the proposed approach can increase the utilization ratio of photovoltaic power, improve the operating condition of the energy storage unit, and improve the ability of the wind-solar-storage hybrid generation system to track load, and make the system more environmentally friendly.
机译:提出了一种考虑风能,光伏输出和负荷之间相关性的风光储能发电系统的优化调度方法。调度模型的目的是最大程度地跟踪电网调度中心给出的负荷曲线,约束条件包括每个单元输出的上限和下限,最大允许溢出风,光伏输出以及存储单元的运行约束。 Spearman相关系数ρs用于处理两个随机变量之间的相关性,然后用于确定调度的优先级顺序。以24小时风电,光伏发电预测和需求曲线为例,验证了该方法的有效性。结果表明,该方法可以提高光伏发电的利用率,改善储能单元的运行条件,提高风光储能混合发电系统的负荷跟踪能力,使系统更加环保。友好的。

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