Indirect Adaptive Fuzzy Coordinated Excitation and SVC Control for Multi-Machine Power System

Abstract

Coordinated control scheme for generator excitation and Static VAR Compensator (SVC) using an Indirect Adaptive Fuzzy logic Control (IAFLC) of multi-machine power systems based on multi-input-multi-output feedback linearization technique is developed in this paper. The power system considered in this paper consists of two generators and infinite bus connected through a network of transformers and transmission lines. The fuzzy controller is constructed from fuzzy feedback linearization controller whose parameters are adjusted indirectly from the estimates of plant parameters. The adaptation law adjusts the controller parameters on-line so that the plant outputs tracks the reference model outputs. Simulation results show that the proposed IAFLC controller, compared with a controller based on traditional linearization technique enhances the transient stability of the power system under sever abnormalities.

Stability Enhancement of a Power System With a PMSG-Based and a DFIG-Based Offshore Wind Farm Using a SVC With an Adaptive-Network-Based Fuzzy Inference System

“…The eigenvalues  1 - 16 and  17 - 38 listed in Table I relate to the modes of the WT-PMSG of OWF #1 and the WT-DFIG of OWF #2, respectively. The eigenvalues  39 - 58 and  59 - 61 listed in Table I refer to the modes of the SG-based OMIB system and the SVC, respectively.…”

“…In order to study the practical performance of actual power systems, the studied system in this paper uses a large equivalent SG connected to the PCC for simulating the stability characteristics of an actual power system. The control scheme is proposed in this paper to design a damping controller using an adaptive-network-based fuzzy inference system (ANFIS) [16] to suppress oscillations of the SG system in order to maintain system stable. This paper is organized as below.…”