Abstract

A mechanism for efficient self-tuning of a fuzzy logic-based PSS in real-time is presented. The proposed controller with a self-tuning mechanism can reduce low-frequency oscillations regardless of magnitude or type of disturbance, whether sudden or gradual. It is not necessary to set the initialization or learning factor for each disturbance and its implementation is simple. Speed deviation and its derivative are used as fuzzy controller inputs. The main idea, based on the properties of the conventional PID controller, is to use a fuzzy controller similar to a PID controller but for the nonlinear power system. Since the objective is implementation on a physical system, nonlinearity without any simplification of the system is very important. Therefore, in this mechanism, the full order machine model is considered. The optimal performance is obtained by determining in real-time the appropriate gains for each input. Tests for a wide range of disturbances show the robustness of the controller. The proposed approach has fewer fuzzy rules than similar methods. Therefore, its hardware implementation can be simpler and will require less computation time. Very good damping of all types of disturbances is a prominent feature of this method.

摘要

提出了一种基于模糊逻辑的 PSS 实时有效自调整的机制。无论干扰的大小或类型如何，无论是突然的还是渐进的，所提出的具有自调谐机制的控制器都可以减少低频振荡。不需要为每个扰动设置初始化或学习因子，其实现简单。速度偏差及其导数用作模糊控制器输入。基于传统 PID 控制器的特性，其主要思想是使用类似于 PID 控制器但用于非线性电力系统的模糊控制器。由于目标是在物理系统上实现，因此没有对系统进行任何简化的非线性非常重要。因此，在该机制中，考虑了全阶机模型。通过实时确定每个输入的适当增益来获得最佳性能。对各种干扰的测试表明了控制器的稳健性。所提出的方法比类似方法具有更少的模糊规则。因此，它的硬件实现可以更简单，并且需要更少的计算时间。这种方法的一个突出特点是对所有类型的干扰都有很好的阻尼。