Small Signal Stability Assessment of MEPE Test System in Free and Open Source Software
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Small Signal Stability Assessment of MEPE Test System in Free and Open Source Software

Authors: Kyaw Myo Lin

Abstract:

This paper presents small signal stability study carried over the 140-Bus, 31-Machine, 5-Area MEPE system and validated on free and open source software: PSAT. Well-established linearalgebra analysis, eigenvalue analysis, is employed to determine the small signal dynamic behavior of test system. The aspects of local and interarea oscillations which may affect the operation and behavior of power system are analyzed. Eigenvalue analysis is carried out to investigate the small signal behavior of test system and the participation factors have been determined to identify the participation of the states in the variation of different mode shapes. Also, the variations in oscillatory modes are presented to observe the damping performance of the test system.

Keywords: Eigenvalue analysis, Mode shapes, MEPE test system, Participation factors, Power System oscillations.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1099513

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2439

References:


[1] Dysko A. Leithead WE, O’Reilly J., “Enhanced power system stability by coordinated PSS design,” IEEE Transl. Power Syst, vol. 25, 2010, pp.413-422.
[2] Johansson N., Angquist L, Nee H., “An adaptive controller for power system stability improvement and power flow control by means of a thyristor switched series capacitor (TCSC),” IEEE Tansl. Power Syst, vol. 25, 2010, pp. 381-391.
[3] Ayres HM, Kopcak I, Castro MS, Milano F, da Costa VF, “A didcate procedure for designing power oscillation dampers of FACTS devices,” Simul. Model Practice Theory, vol. 18, 2010, pp. 896-909.
[4] Khodabakhshian A, Hemmati R., “Robust decentralized multi-machine power system stabilizer design using quantitative feedback theory,” Electric Power Energy Syst., vol. 41, 2010, pp. 112-119.
[5] Radaideh SM, Dejdawi IM, Mushtaha MH, “Design of power system stabilizers using two level fuzzy and adaptive neuro-fuzzy interface systems,” Electric Power Energy Syst., vol. 35, 2010, pp. 47-56.
[6] Haussan LH, Moghavvemi M, Almurib HAF, Muttaqi KM, Du H, “Damping of low frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic,” Electric Power Syst., vol. 58, 2012, pp. 72-85.
[7] Hugan X, Haozhong Ch, Haiyu L., “Optimal reactive power flow incorporating static voltage stability based on multi-objective adaptive immune algorithm,” Energy Convers. Manage., vol. 49, 2008, pp. 1175- 1181.
[8] Kundur P, Power System Stability and Control, New York, USA, McGraw-Hill, 1994.
[9] Anderson PM, Fouad AA, Power System Control and Stability, 2nd Edn., Manhattan, USA, John Wiley & Sons, 2003.
[10] Bikash P, Balarko C, Robust Control in Power System, New York, USA, Springer Science & Business Media, 2005.
[11] Wilkinson J, The Algebraic Eigenvalue Problem, Oxford University Press,2004.
[12] Carlos E., Ugalde-Loo, Enrique Acha, Eduardo Liceaga-Castro, “Multimachine power system state space modeling for small signal stability assessments,” Applied Math. Modelling, vol, 37, 2013, pp. 10141- 10161.
[13] Myint Aung, “Present and future power sector development in Myanmar,” MEPE, Nay Pyi Taw, 2012.
[14] Wei Li, Luigi Vanfretti, Yuwa Chompoobutrgool, “Development and implementation of hydro turbine and governor models in a free and open source software package,” Simul. Model. Practice, vol. 24, 2012, pp. 84-102.
[15] Jan Machowski et al., Power Systems Dynamics (Stability and Control), 2nd Edn, Wiley & Sons Publication, 2008.
[16] Federico Milano, “An open source power system analysis toolbox,” IEEE Trans Power Syst, vol. 20 (3), August 2005, pp. 1199-1206.
[17] Federico Milano, Documentation forPower System Analysis Toolbox, 2010.
[18] Ghosh Sudipa, Senroy Nilanjan, “The localness of electromechanical oscillations in power systems,” Int J. Elect. Power Energy Syst., vol. 42, 2012, pp. 306-313.
[19] Fernandez RD, Mantz RI, Battaiotto PE, “Impact of wind firms on a power system: an eigenvalue analysis approach,” Renew Energy, vol. 32 (10), 2007, pp. 1676-1688.
[20] Kyaw Swar Soe Naing, “Fuel mix requirements for power generation in Myanmar,” MEPE, Nay Pyi Taw, 2013.
[21] ADB, Energy Sector Initial Assessment Myanmar, 2013.