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The impacts of correlation of multi-wind farms in day-ahead economic dispatching

机译:多风场关联对日前经济调度的影响

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In this paper, a two-dimensional versatile distribution was proposed to describe the joint cumulative probability density of relevant wind farms, which had a concise expression and was accurate in representing binary variables. Then it was applied to make sure that scheduling results could meet the reserve capacity requirement for a given confidence level. Based on this chance constrains model, four dispatched cases were worked out by considering the correlation of related wind farms and independent one. To optimize this nonlinear model, the Zoutendijk feasible direction method was introduced, which was efficient and time-saving. Eventually, a conclusion could be reached that by taking the correlation of related wind farms into consideration in dispatching, the reserve for wind power and the costs of wind power could be reduced, while unrelated farms should be treated independently for the sake of the grid's stabilization.
机译:在本文中,提出了一种二维通用分布来描述相关风电场的联合累积概率密度,该表达式表达简洁并且在表示二元变量方面准确无误。然后将其用于确保调度结果可以满足给定置信度下的备用容量要求。在这种机会约束模型的基础上,考虑相关风电场与独立风电场的相关性,设计了4个调度案例。为了优化该非线性模型,引入了Zoutendijk可行方向方法,该方法高效且节省时间。最终得出的结论是,在调度中考虑相关风电场的相关性,可以减少风电储备和风电成本,而为确保电网的稳定,应独立对待无关的风电场。

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