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

机译:考虑风力太阳能相关性的风光储存混合生成系统最优调度

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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:在本文中提出了一种关于风力 - 太阳能存储生成系统的最佳调度方法,提出了风力电力,光伏输出和负载的相关性。调度模型的对象是在最大程度上跟踪电网调度中心给出的负载曲线,约束包括每个单元输出的上部和下限,最大允许的溢出风,光伏输出和存储单元操作约束。 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。采用24小时风,光伏电力预测和需求曲线的示例,验证了该方法。结果表明,该方法可以提高光伏电力的利用率,提高能量存储单元的运行条件,提高风 - 太阳能储存混合生成系统跟踪负载的能力,使系统更加环保友好的。

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