Dynamic Power Oscillation Reduction using PSOA-PI in UPFC
Ananda M.H1, M.R. Shivakumar2

1Ananda M.H*, School of Electrical & Electronics Engineering, REVA University, Research Scholar V.T.U, India.
2M.R. Shivakumar, Sri Revana Siddeshwara Institute of Technology, V.T.U, India.

Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 3046-3050 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6809129219/2019©BEIESP | DOI: 10.35940/ijitee.B6809.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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. 
Keywords: UPFC, PI  Controller, Particle Swarm Optimization.
Scope of the Article: Design Optimization of Structures