Open Access Open Access  Restricted Access Subscription or Fee Access

Investigation of UPFC Based Damping Controller Parameter for Power Oscillation Damping by Grey-Wolf Optimizer with Time Delay for Multi Machine System

Narayan Nahak(1), Sankalpa Bohidar(2), Ranjan Kumar Mallick(3*)

(1) Department of Electrical Engineering, Siksha 'O' Anusandhan University, India
(2) Department of Electrical Engineering, Siksha 'O' Anusandhan University, India
(3) Department of Electrical Engineering, Siksha 'O' Anusandhan University, India
(*) Corresponding author


DOI: https://doi.org/10.15866/ireaco.v11i1.12941

Abstract


Selection of a proper control action for UPFC based damping controller so as to deem fit to a specific operating condition is a challenging task to design the controller. In this work Grey Wolf Optimization technique is proposed for investigation of proper control action and optimizing the parameters of UPFC based lead-lag controller to enhance dynamic stability pertaining to damping of electromechanical oscillations in power system. There are two main contributions of this work. The first one is an elaborate investigation of proper damping controller to meet a specific operating condition and it has been considered by a recent algorithm known as GWO algorithm in contrast to PSO and DE algorithm by applying all controllers to the single machine system. Also the versatility of this optimized controller is judged by considering different disturbances like change in input prime mover power, wide range of loading conditions, and change in line reactance. To provide a real time approach for multi machine system, additional time delay is considered, to meet the requirement of a wide area network. The efficacy of GWO optimized controller is also compared with PSO and DE optimized controllers for same disturbances. Eigen value analysis is performed for each case and it has been found that the performance of proposed controller is much better as compared to others.
Copyright © 2018 Praise Worthy Prize - All rights reserved.

Keywords


FACTS; UPFC; GWO; Damping Controller; Multi Machine Stability

Full Text:

PDF


References


P. Kundur, Power System Stability and Control, McGraw-Hill, New York, 1994

Keri AJF, Lombard X, Edris AA. Unified power flow controller: modeling and analysis. IEEE Trans Power Deliver 1999;14(2):648–54.
http://dx.doi.org/10.1109/61.754113

Li G, Lie T, Shrestha G, Lo K. Implementation of coordinated multiple facts controllers for damping oscillations. Int J Electr Power Energy Syst 2000; 22: 79–92.
http://dx.doi.org/10.1016/s0142-0615(99)00039-3

Eslami M, Shareef H, Khajehzadeh M. Optimal design of damping controllers using a new hybrid artificial bee colony algorithm. Int J Electr Power Energy Syst 2013;52:42–54.
http://dx.doi.org/10.1016/j.ijepes.2013.03.012

Eslami M, Shareef H, Mohamed A, Khajehzadeh M. Particle swarm optimization for simultaneous tuning of static var compensator and power system stabilizer. Przeglad Elektrotechniczny 2011; 87:343–7.
http://dx.doi.org/10.1109/icmsao.2011.5943734

Gyugyi L, Schauder C, Williams S, Rietman T, Torgerson D, Edris A. The unified power flow controller: a new approach to power transmission control. IEEE. Trans Power Deliv 1995; 10:1085–97.
http://dx.doi.org/10.1109/61.400878

Abido M. Parameter optimization of multimachine power system stabilizers using genetic local search. Int J Electr Power Energy Syst 2001; 23:785–94.
http://dx.doi.org/10.1016/s0142-0615(00)00096-x

Zhang P, Messina AR, Coonick A, Cory BJ. Selection of locations and input signals for multiple SVC damping controllers in large scale power systems. In: Proceedings of IEEE power engineering society winter meeting, paper IEEE-0-7803-4403-0; 1998. p. 667–70.
http://dx.doi.org/10.1109/pesw.1999.747535

Farsangi MM, Song YH, Lee KY. Choice of FACTS devices control inputs for damping inter area oscillations. IEEE Trans Power Syst 2004; 19(2):1135–43.
http://dx.doi.org/10.1109/tpwrs.2003.820705

Larsen EV, Chow JH. SVC control design concepts for system dynamic performance, IEEE special publications: application of static VAR systems for system dynamic performance; 1987. p. 36–53.
http://dx.doi.org/10.1109/pesc.1984.7083466

Zhao Q, Jiang J. Robust SVC controller design for improving power system damping. IEEE Trans Energy Conver 1995(10): 201–9.
http://dx.doi.org/10.1109/59.476059

Martins N, Lima LTG. Determination of suitable locations for power system stabilizers and static VAR compensators for damping electromechanical oscillations in large scale power systems. IEEE Trans Power Syst 1990; 5:1455–69.
http://dx.doi.org/10.1109/59.99400

Pourbeik P, Gibbard MJ. Damping and synchronizing torques induced on generators by FACTS stabilizers in multimachine power systems. IEEE Trans Power Syst 1996;11:1920–5.
http://dx.doi.org/10.1109/59.544664

De Oliveira SEM. Synchronizing and damping torque coefficients and power system steady-state stability as affected by static VAR compensators. IEEE Trans Power Syst 1994; 9:109–19.
http://dx.doi.org/10.1109/59.317551

Wang HF. A unified model for the analysis of FACTS devices in damping power system oscillations – part III: unified power flow controller. IEEE Trans Power Deliver 2000; 15(3):978–83.
http://dx.doi.org/10.1109/61.871362

Wang HF. Damping function of unified power flow controller. IEE Proc Gen Transm Dist 1999; 146(1):81–7.
http://dx.doi.org/10.1049/ip-gtd:19990064

Wang HF, Swift FJ. A Unified model for the analysis of FACTS devices in damping power system oscillations part I: single-machine infinite-bus power systems. IEEE Trans Power Deliver 1997; 12:941–6.
http://dx.doi.org/10.1109/61.584417

Tambey N, Kothari ML. Damping of power system oscillations with unified power flow controller (UPFC). IEEE Proc Gener Trans Distrib 2003; 150:129–40
http://dx.doi.org/10.1049/ip-gtd:20030114

Taher SA, Hemmati R, Abdolalipour A, Akbari S. Comparison of different robust control methods in the design of decentralized UPFC controllers. Int J Electr Power Energy Syst 2012; 43:173–84.
http://dx.doi.org/10.1016/j.ijepes.2012.04.026

Ali T. Al-Awami ,Y.L. Abdel-Magid , M.A. Abido, A particle-swarm-based approach of power system stability enhancement with unified power flow controller. Int. Journal of Electrical Power and Energy Systems 29 (2007) 251–259
http://dx.doi.org/10.1016/j.ijepes.2006.07.006

Shayeghi H, Shayanfar HA, Jalilzadeh S,Safari A,” Design of output feedback UPFC controller for damping of electromechanical oscillations using PSO” Energy Conversion and Management 50 (2009) 2554–2561
http://dx.doi.org/10.1016/j.enconman.2009.06.005

Husam I. Shaheen , Ghamgeen I. Rashed, S.J. Cheng. Optimal location and parameter setting of UPFC for enhancing power system security based on Differential Evolution algorithm. Electrical Power and Energy Systems 33 (2011) 94–105
http://dx.doi.org/10.1016/j.ijepes.2010.06.023

Sidhartha Panda. Robust coordinated design of multiple and multi-type damping controller using differential evolution algorithm. Electrical Power and Energy Systems 33 (2011) 1018–1030
http://dx.doi.org/10.1016/j.ijepes.2011.01.019

Talebi N, Akbarzadeh A. Damping of low frequency oscillations in power systems with neuro-fuzzy UPFC controller. In: Proc. IEEE-EEEIC; 2011. p. 1–4.
http://dx.doi.org/10.1109/eeeic.2011.5874855

S. Mirjalili, S. M. Mirjalili, A. Lewis, Grey Wolf Optimizer, Advances in Engineering Software, vol. 69, pp. 46-61, 2014.
http://dx.doi.org/10.1016/j.advengsoft.2013.12.007

Rajendra Ku Khadanga, Jitendriya Ku Satapathy. “ A new hybrid GA–GSA algorithm for tuning damping controller parameters for a unified power flow controller” Electrical Power and Energy Systems 73 (2015) 1060–1069.
http://dx.doi.org/10.1016/j.ijepes.2015.07.016

Sangwato, S., Oonsivilai, A., Optimal Power Flow with Interline Power Flow Controller Using Hybrid Genetic Algorithm, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 727-733.
http://dx.doi.org/10.15866/iree.v10i6.7568

Manuaba, I., Priyadi, A., Hery P., M., Coordination Tuning PID-PSS and TCSC Based Model of Single Machine Infinite-Bus Using Combination Bacteria Foraging-Particle Swam Optimization Method, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 787-794.
http://dx.doi.org/10.15866/iree.v10i6.7330

Jafari, H., Mahmoudi, M., Ahmadkhani, F., A Complementary SVC-Based Controller Design for Damping Both Local and Inter-Area Oscillating Modes Using NSGA-II Algorithm, (2016) International Review of Electrical Engineering (IREE), 11 (1), pp. 69-77.
http://dx.doi.org/10.15866/iree.v11i1.7607

Saoudi, Y., Abdallah, H., Contribution of FACTS Device for Persisting Optimal Grid Performance Despite Wind Farm Integration, (2015) International Review on Modelling and Simulations (IREMOS), 8 (2), pp. 147-153.
http://dx.doi.org/10.15866/iremos.v8i2.3033

Zongo, O., Oonsivilai, A., Comparison between Harmony Search Algorithm, Genetic Algorithm and Particle Swarm Optimization in Economic Power Dispatch, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 286-292.
http://dx.doi.org/10.15866/iree.v10i2.5361

Dileep, M., Surekha, K., Vishnu, N., Ascent Phase Trajectory Optimization of Launch Vehicle Using Theta-Particle Swarm Optimization with Different Thrust Scenarios, (2016) International Review of Aerospace Engineering (IREASE), 9 (6), pp. 200-207.
http://dx.doi.org/10.15866/irease.v9i6.10521

Meo, S., Zohoori, A., Vahedi, A., Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach, (2016) Energy Conversion and Management, 110, pp. 230-239.
http://dx.doi.org/10.1016/j.enconman.2015.11.062

Elkholy, M., Abd Elnaiem, M., Efficient Sensorless Speed Control of Induction Motors Using Hybrid Grey Wolf Optimizer and Neural Network, (2016) International Review of Automatic Control (IREACO), 9 (2), pp. 55-63.
http://dx.doi.org/10.15866/ireaco.v9i2.8721


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2019 Praise Worthy Prize