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首页> 外文会议>IASTED International Conference on Computational Intelligence >ANGLE MODULATED DIFFERENTIAL EVOLUTION AND SLOW COHERENCY BASED ISLANDING OF LARGE SCALE POWER SYSTEMS
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ANGLE MODULATED DIFFERENTIAL EVOLUTION AND SLOW COHERENCY BASED ISLANDING OF LARGE SCALE POWER SYSTEMS

机译：角度调制差分演化与大型电力系统的缓慢一致性

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摘要

Power system defensive islanding is an efficient way to avoid catastrophic wide area blackouts. Finding defensive islands of large-scale power systems is a combinatorial explosion problem Thus, it is very difficult to find the optimal solution using analytical methods This paper proposes a method that combines slow coherency and angle modulated differential evolution to find efficient solutions for large-scale power systems The solutions consider real power balance between generations and loads in islands, dynamic properties of power system, relative importance of customers, and desired number of islands, etc The algorithm can also provide necessary load shedding information and a number of candidate solutions for the check of transmission system capacity constraint. Simulations with power systems of different scales demonstrate the accuracy and effectiveness of the proposed algorithm.
机译：电力系统防御岛是一种有效的方法，以避免灾难性广域的破坏。寻找大型电力系统的防御岛是一种组合爆炸问题，因此，使用分析方法非常困难本文提出了一种结合缓慢的一致性和角度调制差分演进来寻找大规模解决方案的方法电力系统解决方案考虑几代电力平衡，电力系统的动态特性，客户的相对重要性，以及所需的岛屿数量，等算法还可以提供必要的负载脱落信息和许多候选解决方案检查传输系统容量约束。使用不同尺度的电力系统模拟展示了所提出的算法的准确性和有效性。

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