This article addresses the challenging task of developing a procedure for the day-ahead dispatch planning of wind power which emanates from a wide geographical area. Using the complete ensemble empirical mode decomposition technique, it is shown that the low-frequency components of the area aggregated wind power account for the largest proportions of the perturbing energy harnessed from the wind. By taking advantage of the slow-varying characteristics of the low-frequency components, accurate forecast of these components is readily obtained and incorporated into the developed dispatch planning procedure. The dispatchability of the wide-area wind generation is facilitated by the buffering actions offered by a centralized power dispatch energy storage system, operating under a proposed power flows control strategy. The efficacy of the developed procedure is illustrated using a pumped hydroelectric system as the dispatch energy storage medium.

中文翻译：

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基于集合经验模式分解技术的广域风电蓄能方案调度规划

本文解决了一项艰巨的任务，即开发一种程序，用于从广泛的地理区域发出的风电的日前调度计划。使用完整的集成经验模态分解技术，表明该地区聚集的风力发电的低频成分在风中利用的扰动能量中占最大比例。通过利用低频分量的缓慢变化特性，可以轻松获得这些分量的准确预测，并将其纳入已制定的调度计划程序中。集中式电力调度储能系统提供的缓冲作用促进了广域风力发电的可调度性，该系统在建议的潮流控制策略下运行。