MPC of wind power cluster

  该文基于模型预测控制理论， 提出一种考虑多时空尺度协调的风电集群有功分层预测控制方法。 该方法将风电集群在空间尺度上分为三层控制层，将超短期风电功率预测值在时间尺度上逐层细化，并对各层滚动优化环节进行了优化建模。 仿真分析中通过与常用有功分配方法对比， 结果表明文中所提方法在保证系统安全运行和满足集群计划的同时，能够提高风电消纳能力，合理利用风能资源和分配集群内风电功率。(Based on the model predictive control theory, this paper proposes a wind power cluster active layered predictive control method that considers multi-temporal scale coordination. The method divides the wind power cluster into three layers on the spatial scale, and predicts the ultra-short-term wind power prediction value on a time scale, and optimizes the rolling optimization of each layer. Compared with the commonly used active power allocation method in the simulation analysis, the results show that the proposed method can improve the wind power consumption capacity, rationally utilize the wind energy resources and allocate the wind power in the cluster while ensuring the safe operation of the system and meeting the cluster plan.)

多时空尺度协调的风电集群有功分层预测控制方法_叶林.pdf, 1595226 , 2019-08-05