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Online transient stability evaluation of interconnected power systems using pattern recognition strategy

机译:基于模式识别策略的互连电力系统在线暂态稳定性评估

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摘要

Using the method of pattern recognition, an online strategy has been developed for assessing the transient stability of interconnected power systems and for evaluating the security transfer limits between neighbouring systems. This strategy makes use of: an online pattern database which contains vital system data for defining the stability of the interconnected systems; an algorithm for retrieving information from the database, for online stability monitoring and assessment; and control/steering algorithms using full-scaled transient stability simulations for offline training (creating) the database and retraining (updating). The online stability monitoring and assessment aspects of the strategy may be completed in a very short time since the main bulk of computations is done offline beforehand. Using a medium-sired interconnected transmission system as a test example, it is shown how the strategy has been effective for online applications.
机译:使用模式识别的方法,已经开发了一种在线策略,用于评估互连电源系统的暂态稳定性并评估相邻系统之间的安全传输限制。该策略利用:在线模式数据库,其中包含用于定义互连系统稳定性的重要系统数据;一种从数据库中检索信息,用于在线稳定性监视和评估的算法;和控制/转向算法,使用全面的瞬态稳定性仿真进行离线训练(创建)数据库和重新训练(更新)。该策略的在线稳定性监视和评估方面可能会在很短的时间内完成,因为主要的计算是预先离线完成的。以中等需求的互连传输系统为测试示例,显示了该策略对于在线应用程序如何有效。

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