Open AccessDynamic Power Oscillation Reduction using PSOA-PI in UPFC
Author(s) -
A. H.,
M. Shivakumar
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6809.129219
Subject(s) - unified power flow controller , control theory (sociology) , settling time , pid controller , electric power system , ac power , converters , matlab , particle swarm optimization , computer science , power (physics) , electronic engineering , engineering , control engineering , power flow , step response , voltage , electrical engineering , physics , algorithm , temperature control , control (management) , quantum mechanics , artificial intelligence , operating system
The power flow control is one the important part of power system to maintain power system stability. If the real power and reactive power can be controlled then the automatic control of the power system gives numerous possibilities. The Flexible AC Transmission System (FACTs) are the devices meant for this operation. There are series and shunt type of FACTs devices available. The Unified Power Flow Controller (UPFC) is one of the best devices in FACTs devices in AC power system. The power flows can be controlled in series and shunt connections using the two converters. The power oscillations are common in UPFC when the reference powers are changed. The PI controllers are replaced with PSOA tuned PI controller to reduces the power oscillations and reduces the settling time. The problem is formulated to minimize the settling time of the power value. The series and shunt controllers are tuned with particle swarm optimization algorithm (PSOA) to tune the PI controller parameters available in it. The MATLAB Simulink version 2017b is used here for the analysis and well known UPFC test system with three generators are used here for testing the proposed method. The results show PSOA tuned PI controller provides better oscillation damping with reduced settling time.