With the increasing global energy crisis, wind power is gradually favored by people for its sustainability and cleanliness. When the wind power is connected with the power system, the problem of grid connection must be overcome. In order to better meet the demand load interactive response in smartgrid environment, a multi-layer scheduling two-dimensional operation model was proposed. The mechanism of wind power uncertainty was analyzed. Thus, wind power prediction algorithm was established, and the concept of probability based multi-level scheduling was introduced to improve the adaptability of the model as a whole. In order to verify the reliability and effectiveness of the method, case experiments were carried out. The results show that the method can effectively help wind power consumption when ensuring economic and reliable conditions.

中文翻译：

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智能电网环境下负荷响应系统中风电容量的影响模型

随着全球能源危机的加剧，风力发电的可持续性和清洁性逐渐受到人们的青睐。当风力发电与电力系统连接时，必须克服并网问题。为了更好地满足智能电网环境下的需求负荷交互响应，提出了一种多层调度二维运行模型。分析了风电不确定性的机理。因此，建立了风能预测算法，引入了基于概率的多级调度概念，以提高模型的整体适应性。为了验证该方法的可靠性和有效性，进行了案例实验。结果表明，该方法在保证经济可靠的条件下可以有效地帮助风电消耗。