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Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition

机译:考虑风力涡轮机在极端风条件下关闭事件的随机最佳调度模型

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The wind power output is affected primarily by external meteorological factors. Under extreme wind condition, individual wind turbine might automatically shutdown once the wind speed is near or exceeds the cut-out speed for self-protection. This results in the output power reduction of a wind farm, which raises the security concern due to the imbalance between generation and demand, particularly for power systems with high wind power penetration. In this paper, the Type I Extreme Value Theory is adopted to depict the extreme wind speed. A stochastic optimal dispatch model considering wind turbine unexpected shutdown events based on chance-constrained programming theory is established. An improved Genetic-algorithm is developed to solve the non-convex optimization problem. The results imply that the dispatch model will give full consideration of such emergency situation, and provide a more reasonable dispatch plan for power system disaster prevention and reduction.
机译:风力输出主要受到外部气象因素的影响。在极端风状态下,一旦风速接近或超过自我保护速度,各个风力涡轮机可能会自动关闭。这导致风电场的输出功率降低,这引起了由于发电和需求之间的不平衡,特别是对于具有高风力渗透的电力系统而引起安全问题。在本文中,采用了I型极值理论来描绘极端风速。建立了考虑基于机会约束编程理论的风力发电机意外关闭事件的随机最佳调度模型。开发了一种改进的遗传算法来解决非凸优化问题。结果意味着调度模型将充分考虑这种紧急情况,并为电力系统防灾和减少提供更合理的派遣计划。

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