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Performance enhancement of automatic generation control using SMES and ANN controller

机译:使用SMES和ANN控制器增强自动发电控制的性能

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The paper concerned with the enhancement in automatic generation control (AGC) performance of power system having two area, so that the change in frequency and power oscillations due to load variation must be reduced to zero as early as possible for stable operation. This aim is achieved by introducing superconducting magnetic energy storage (SMES) unit and Artificial Neural Network (ANN) controller in each area. The simulation results have been compared and analyzed. The performance of the system with SMES and ANN controller is compared to system with conventional PI controller.
机译:该论文涉及具有两个区域的电力系统的自动发电控制(AGC)性能的增强,因此为了负载稳定,必须尽早将由于负载变化而引起的频率变化和功率振荡减小到零。通过在每个区域引入超导磁能存储(SMES)单元和人工神经网络(ANN)控制器来实现此目标。对仿真结果进行了比较和分析。将具有SMES和ANN控制器的系统的性能与具有常规PI控制器的系统进行比较。

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