负载约束下径向拓扑过流继电器人工智能运行优化

Nugraha Agung Wibowo, V. R. Mahindara, A. Priyadi, M. Pujiantara, M. Purnomo
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引用次数: 1

摘要

工业上的过电流继电器应用需要一些设置参数,如拾取电流(Ip),时间拨号设置(TDS)和操作时间(top)。有一些标准规定了确定这些参数的限制和公式。其中一个问题是确定反继电器的TDS (ANSI Code 51)。由于TDS值的确定一般采用试错法,效率较低,因此提出了一种利用径向拓扑系统确定实际电厂电气系统TDS值的新方法。利用人工智能来确定保护继电器的TDS,在优化过程中考虑负载约束,希望能够解决这一问题,从而提高效率。
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Optimization of Overcurrent Relay Operation Using Artificial Intelligent on Radial Topology with Load Constraint
Over current relay application on indutry requires some setting parameters such as pick up current (Ip), time dial setting (TDS), and operating time (top). There are some standards that stated the restrictions and formulations to determining those parameters. One of the problems is to determine the TDS on inverse relay (ANSI Code 51). Generally, the determination of TDS value is done by trial and error method, it is considered less effective so it is proposed a new method in determining TDS on real plant electrical system with radial topology system. Artificial Intelligent is used to determine TDS for protection relay and hopefully able to solve the problem in order to improve the effectiveness by considering the load constraint during optimization.
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