Incorporating ObjectStab library and fuzzy logic toolbox for design of power system damping controller

2008 ◽  
Vol 16 (4) ◽  
pp. 243-255 ◽  
Author(s):  
Issarachai Ngamroo ◽  
Boonrat Somritvanitcha ◽  
Komsan Hongesombut
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Damping Controller

Design of a Wide-Area Damping Controller Based on Fuzzy Control

2014 ◽  
Vol 960-961 ◽  
pp. 960-963
Author(s):  
Lin Sun ◽  
Wei Cai ◽  
Tian Ran Li ◽  
Hua Ren Wu
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Power Systems ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Low Frequency ◽  
Wide Area ◽  
Interconnected Power System ◽  
Wide Area Damping Controller ◽  
Damping Controller

A method is proposed to design a wide-area damping controller (WADC) based on fuzzy control to dampen the low-frequency oscillations of interconnected power systems. First, the inputs and expected outputs of a fuzzy logic controller are analyzed. Then, a universe of fuzzy sets, membership functions and fuzzy rules are determined based on the relationship between inputs and outputs, and the fuzzy logic controller is constituted. The WADC consists of a fuzzy logic controller and a gain. The gain is obtained using particle swarm optimization. A four-machine two-area power system is simulated using the Matlab/Simulink software to test the performance of the fuzzy-based WADC. The simulation results indicate that the designed controller can compensate for communication delay and improve interconnected power system damping.

Real time implementation of interval type-2 fuzzy logic based damping controller for wind integrated power system

2021 ◽  
pp. 0309524X2110301
Author(s):  
Kanasottu Anil Naik
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Real Time ◽  
Control Technique ◽  
Control Block ◽  
The Real ◽  
Interval Type ◽  
Integrated Power System ◽  
Damping Controller

In this paper, the real time simulation results using an interval type-2 fuzzy logic based damping controller of wind integrated power system is presented. The fundamental control block of the employed SATCOM includes the proposed damping controller to reduce the damping oscillations/fluctuations. Real time digital simulations (RTDS) are developed using OPAL-RT real time simulator in order to show the effectiveness of the proposed fuzzy control technique. The real time simulator (RTS) lab consists of two targets (processors). On first processor (target one) a typical wind power system has been implemented and on second processor an interval type-2 fuzzy logic algorithm is modelled and developed hence, hardware in loop (HIL) configuration is achieved. To evaluate the effectiveness of the proposed method by comparative analysis, three different scenarios (STATCOM-without damping controller, STATCOM-with type-1 FLC based damping controller and STATCOM-with interval type-2 FLC based damping controller) are considered subjected to various disturbances such as noise in wind speed and different types of network faults.

scholarly journals An Incorporated Use of Fuzzy Logic Toolbox and Modelica Library to Design SSSC Damping Controller

1970 ◽  
Vol 2 (1) ◽  
pp. 25-32
Author(s):  
Boonrat Somritvanitcha ◽  
Issarachai Ngamroo ◽  
Komsan Hongesombut
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Controller ◽  
Controller Design ◽  
General Purpose ◽  
System Stability ◽  
Design Environment ◽  
Matlab Simulink ◽  
New Device ◽  
Damping Controller

ObjectStab is a general purpose simulation tool for power system stability studies developed by Modelica which is an object-oriented modeling language. It provides enough modeling flexibility to allow addition or modification of new power system components. This paper describes an incorporated use of fuzzy logic toolbox in Matlab/Simulink and Object-Stab library to enhance the application of this library into fuzzy control design environment. The example provided here is the modeling of the static synchronous series compensator (SSSC) which is the new device developed in the ObjectStab. In addition, the interface of ObjectStab with Matlab/Simulink for an SSSC damping controller design by fuzzy logic toolbox is explained step by step. Simulation studies in a multi-machine power system confirm the effectiveness of the designed fuzzy controller.

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