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A knowledge-based adaptive fuzzy controller for a two-area power system

机译:基于知识的两区域电力系统自适应模糊控制器

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摘要

The present paper presents a novel methodology for designing an adaptive fuzzy controller for a dynamically interconnected electric power system. One controller with constant gains for different operating points may not be sufficient to guarantee satisfactory performance for Load frequency control. Therefore, the knowledge-based adaptive fuzzy controller is proposed ether to cope with the operating conditions or to remove any fixed mode. The adaptive fuzzy logic control utilizes the error and the change of error as fuzzy linguistic inputs to regulate the system performance. The proposed control scheme is applied to a two-area power system provided with both hydraulic and thermal turbines.
机译:本文提出了一种新颖的方法,用于为动态互连的电力系统设计自适应模糊控制器。对于不同的工作点,具有恒定增益的一个控制器可能不足以保证令人满意的负载频率控制性能。因此,提出了基于知识的自适应模糊控制器,以应对工作条件或消除任何固定模式。自适应模糊逻辑控制利用误差和误差的变化作为模糊语言输入来调节系统性能。所提出的控制方案被应用于同时具有水力和热力涡轮机的两区域电力系统。

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