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Load frequency control in deregulated power system integrated with SMES-TCPS combination using ANFIS controller

机译:使用ANFIS控制器与SMES-TCPS组合集成的去监管电力系统中的负载频率控制

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In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used for mitigating the various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The implementation of SMES-TCPS combination arrests the initial fall in frequency as well as the tie line power deviations after a sudden load disturbance. To investigate the effectiveness of the proposed approach, the dynamics of the system is analyzed with unilateral, bilateral and contract violation cases for a small load perturbation and the comparative results are also presented. The simulated results show that the performance of ANFIS controller is better than the conventional PI controller and the Fuzzy logic controller. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文着重介绍了自适应神经模糊系统(ANFIS)控制器的应用,以缓解管制环境下两区热电系统的各种负载频率控制(LFC)问题。为了提高LFC性能,在其控制区域中包括了超导磁能源(SMES)和晶闸管控制的移相器(TCPS)的组合。 SMES-TCPS组合的实现可阻止突然的负载扰动后频率的初始下降以及联络线功率偏差。为了研究所提方法的有效性,分析了系统的动力学特性,并针对单边,双边和合同违规情况对小负载扰动进行了分析,并给出了比较结果。仿真结果表明,ANFIS控制器的性能优于传统的PI控制器和模糊逻辑控制器。 (C)2016 Elsevier Ltd.保留所有权利。

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