复杂电力系统快速可靠的故障分析

[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems Pub Date : 1993-04-19 DOI:10.1109/ANN.1993.264356

C. Rodríguez, J.I. Martin, C. Ruiz, A. Lafuente, S. Rementeria, J. Perez, J. Muguerza

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引用次数: 3

摘要

用神经网络方法设计电网诊断系统，必须处理由于系统规模大而产生的严重问题，这使得模块化成为明显的解决方案。提出了一种基于功能标准的模块化方法，该方法具有可扩展性和对拓扑变化的适应性。神经系统产生的假设被一个竞争系统证明是正确的，这个系统可以检测到简单的或同时发生的干扰。这种方法允许并行的、分布式的实现。

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Fast and reliable fault analysis in complex power systems

Neural network approaches to the design of diagnosis systems for electrical networks have to cope with serious problems derived from the large size of such systems, which makes modularity the obvious solution. A modular approach which is based on functional criteria and provides scalability and adaptability to topological changes is presented. The hypotheses generated by the neural system are justified by a competitive system which detects simple or simultaneous disturbances. This approach allows for a parallel, distributed implementation.<>

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[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems

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