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AGC of two-area electric power systems using optimized fuzzy PID with filter plus double integral controller

机译:使用带滤波器和双积分控制器的优化模糊PID的两区域电力系统AGC

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摘要

The incessant swell in size, complexity, nonlinearity and structural variations in modern electric power systems, as well as rise in power demand has entailed the use of intelligent control strategies for the real-time satisfactory operation of power system. Hence, in this paper, a novel fuzzy PID with filter plus double integral (FPIDF-II) controller is proposed for automatic generation control (AGC) of two-area interconnected power systems. Initially, a well accepted two-area non-reheat thermal system is considered and the output scaling factors (SF) of FPIDF-II controller are optimized using imperialist competitive algorithm (ICA) employing an integral squared error (ISE) criterion. The supremacy of the proposed approach is demonstrated by contrasting the results with recently published optimal and various modern heuristic optimization techniques based controllers. To demonstrate the efficacy and scalability of the approach over other prevalent intelligent control techniques, the study is further extended to two-area non-reheat thermal system with governor deadband nonlinearity, two-area reheat thermal system, recently appeared two-area photovoltaic (PV)-reheat thermal system and two-area multi-source hydrothermal system. Finally, a sensitivity analysis is carried out to demonstrate the robustness of the proposed controller under broad variations in the system parameters from their nominal values. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:现代电力系统中尺寸,复杂性,非线性和结构变化的不断膨胀,以及电力需求的增加,都需要使用智能控制策略来使电力系统实时令人满意地运行。因此,本文提出了一种新颖的带有滤波器加双积分的模糊PID(FPIDF-II)控制器,用于两区域互联电力系统的自动发电控制(AGC)。最初,考虑了一个公认的两区域非再热热系统,并使用采用积分平方误差(ISE)准则的帝国主义竞争算法(ICA)对FPIDF-II控制器的输出比例因子(SF)进行了优化。通过将结果与最近发布的基于控制器的最优和各种现代启发式优化技术进行对比,证明了所提出方法的优越性。为了证明该方法相对于其他普遍的智能控制技术的有效性和可扩展性,该研究进一步扩展到具有调速器死区非线性的两区域非再热热系统,两区域再热热系统,最近出现了两区域光伏(PV )-再热热系统和两区多源热液系统。最后,进行了灵敏度分析,以证明所提出的控制器在系统参数与其标称值有很大差异的情况下的鲁棒性。 (C)2018富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2018年第11期|4583-4617|共35页
  • 作者

    Arya Yogendra;

  • 作者单位

    Maharaja Surajmal Inst Technol, Dept Elect & Elect Engn, New Delhi, India;

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  • 正文语种 eng
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