Supervision of power swing blocking using model-based distributed intelligence relaying framework

M. Lwin, Harsha V. Padullaparti, S. Santoso
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引用次数: 1

Abstract

The power swing phenomenon is characterized by oscillations in power flow between two areas of a power system due to an abrupt imbalance in mechanical and electrical power. Unintentional operation of distance relays during power swings can propagate a disturbance and result in a cascading outage. It is therefore critical that relays operate securely under such conditions. Modern distance relays can provide a function for power swing blocking (PSB). However, the PSB settings can be difficult to calculate without extensive stability studies and may fail to block if the slip frequency is too fast. In this work, we investigate the application of a model-based relaying framework applied to power swing blocking. The framework is named Model-Based Distributed Intelligence (MBDI) because it integrates, at the relay level, real-time knowledge of the network structure and system state in the form of simulation circuit models. We investigate the efficacy of a relay equipped with MBDI to supervise PSB operation during power swing and fault scenarios.
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基于模型的分布式智能继电保护框架对电力摆挡的监控
功率摆动现象的特征是由于机械功率和电力功率的突然不平衡而导致电力系统两个区域之间的潮流振荡。在功率波动期间,距离继电器的意外操作会传播干扰并导致级联停电。因此,继电器在这种条件下安全运行是至关重要的。现代距离继电器可以提供功率摆挡(PSB)功能。然而,如果没有广泛的稳定性研究,PSB设置很难计算,如果滑动频率太快,可能无法阻塞。在这项工作中,我们研究了基于模型的继电保护框架在功率摆挡中的应用。该框架被命名为基于模型的分布式智能(MBDI),因为它在中继级以仿真电路模型的形式集成了对网络结构和系统状态的实时知识。我们研究了配备MBDI的继电器在功率摆动和故障情况下监督PSB运行的有效性。
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