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Enhancing flexibility of power systems by exploiting operational controllability of large-scale wind farms

机译:通过利用大型风电场的操作可控性提高电力系统的灵活性

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Even though increasing wind power generation significantly benefits the greening of power system generation, the intrinsic uncertainty and variability associated with large-scale wind generation greatly challenge the current power system operation, such as unit commitment (UC) and economic dispatch. So far, major wind farms are straightforwardly integrated into the existing UC framework as negative loads and operated with a wind-in-priority mode. With the prompt development of the control techniques of wind generators, such as switching on/off or fast pitching control, this manner of operation may underestimate the controllability of wind farms and result in the lack of operational flexibility of the power system. This paper addresses the issue by exploiting the controllability of wind farms in UC decision while considering its inherent uncertain nature. First, the wind generation controllability is modeled as an adjustable scenario set associated with prediction errors. And then a modified two-stage stochastic UC model is formulated to incorporate the operational controllability of wind farms. A modified IEEE 39-bus system is employed to demonstrate the proposed methodology. Simulation results show that the utilization of wind generation controllability can considerably benefit the economy, reliability, and flexibility of power system dispatch. (c) 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
机译:尽管增加风力发电显着利益电力系统生成的绿化,但与大规模风发电相关的内在不确定性和可变性大大挑战了当前的电力系统操作,例如单元承诺(UC)和经济调度。到目前为止,主要的风电场直接集成到现有的UC框架中作为负载负载并以风力为优先模式操作。随着风力发生器的控制技术的迅速发展,例如开启/关闭或快速俯仰控制,这种操作方式可能低估风电场的可控性并导致电力系统缺乏操作柔性。本文通过利用UC决策的促进风电场的可控性,旨在解决其固有的不确定性质。首先,风力产生可控性被建模为与预测误差相关联的可调场景集。然后配制改进的两阶段随机UC模型以包含风电场的操作可控性。采用修改的IEEE 39总线系统来展示所提出的方法。仿真结果表明,风电可控性的利用率可大大益处电力系统调度的经济,可靠性和灵活性。 (c)2017日本电气工程师研究所。 John Wiley&Sons,Inc。出版

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