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A wind farm control strategy for power reserve maximization

机译:风电场控制策略以最大化功率储备

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Nowadays, in many countries wind energy is responsible for a significant part of the electricity generation. For this reason, Transmission System Operators (TSOs) are now demanding the wind power plants (WPPs) to contribute with ancillary services such as frequency support. To this end, WPPs must be able to temporally increase the active power delivered into the grid to compensate consume and demand imbalances. This implies that WPPs now work below their maximum capacity to keep some power reserve to be able to inject extra power into the grid when needed. This reserve depends on the available wind power, which is directly connected with the wind speed faced by each turbine within the WPP. However, wind speed is negative affected by the wakes caused by the upstream turbines. This paper proposes a control algorithm to distribute the power contribution of each turbine seeking to minimize the wake effects and thus maximize the power reserve. The proposed algorithm is evaluated by simulations for the case of a WPP of 12 wind turbines. (C) 2018 The Authors. Published by Elsevier Ltd.
机译:如今,在许多国家中,风能在发电中占很大比例。因此,输电系统运营商(TSO)现在要求风力发电厂(WPP)提供诸如频率支持之类的辅助服务。为此,WPP必须能够暂时增加输送到电网的有功功率,以补偿消耗和需求不平衡。这意味着WPP现在可以在其最大容量以下工作,以保持一定的功率储备,以便在需要时向电网注入额外的功率。该储备取决于可用的风力,该风力直接与WPP中每个涡轮机所面对的风速相关。但是,风速受到上游涡轮机引起的尾流的负面影响。本文提出了一种控制算法来分配每个涡轮机的功率贡献,以最小化尾流效应,从而最大化功率储备。通过仿真对12台风力涡轮机的WPP情况进行了评估。 (C)2018作者。由Elsevier Ltd.发布

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