UPFC Supplementary Controller Design Using Real-Coded Genetic Algorithm for Damping Low Frequency Oscillations in Power Systems
This paper presents a systematic approach for designing Unified Power Flow Controller (UPFC) based supplementary damping controllers for damping low frequency oscillations in a single-machine infinite-bus power system. Detailed investigations have been carried out considering the four alternatives UPFC based damping controller namely modulating index of series inverter (mB), modulating index of shunt inverter (mE), phase angle of series inverter (δB ) and phase angle of the shunt inverter (δE ). The design problem of the proposed controllers is formulated as an optimization problem and Real- Coded Genetic Algorithm (RCGA) is employed to optimize damping controller parameters. Simulation results are presented and compared with a conventional method of tuning the damping controller parameters to show the effectiveness and robustness of the proposed design approach.
[1] P. Kundur, Power System Stability and Control. New York: McGraw-
Hill, 1994.
[2] N. G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and
Technology of Flexible AC Transmission Systems, IEEE Press, New
York, 2000.
[3] Y. H Song, T. A. Johns, Flexible AC Transmission Systems (FACTS),
IEE, London, 2000.
[4] R. M Mathur, R. K. Verma, Thyristor-based FACTS Controllers for
Electrical Transmission Systems, IEEE Press, Piscataway, 2002.
[5] L Gyugyi. ÔÇÿUnified Power Flow Control Concept for Flexible ac
Transmission Systems.- IEE Proceedings-C, Vol. 139, No 4, pp. 323-
331, 1992.
[6] L. Gyugyi et. al., "The Unified Power Flow Controller: A New
Approach to Power Transmission Control", IEEE Trans. Power Delv.
Vol. 10, No. 2, pp. 1085-1093, 1995.
[7] Sidhartha Panda, "Application of non-dominated sorting genetic
algorithm-II technique for optimal FACTS-based controller design",
Journal of the Franklin Institute, doi:10.1016/j.jfranklin.2010.03.013.
[8] Sidhartha Panda, S.C. Swain, P.K. Rautray, R. Mallik, G. Panda,
"Design and analysis of SSSC-based supplementary damping
controller", Simulation Modelling Practice and Theory, doi:
10.1016/j.simpat.2010.04.007.
[9] Sidhartha Panda, "Multi-Objective Evolutionary Algorithm for SSSCBased
Controller Design", Electric Power System Research, Vol. 79,
Issue 6, pp. 937-944, 2009.
[10] Sidhartha Panda, "Differential Evolutionary Algorithm for TCSC-Based
Controller Design", Simulation Modelling Practice and Theory, Vol. 17,
pp. 1618-1634, 2009.
[11] Sidhartha Panda, "Multi-objective Non-Dominated Shorting Genetic
Algorithm-II for Excitation and TCSC-Based Controller Design",
Journal of Electrical Engineering, Vol. 60, No. 2, pp. 87-94, 2009.
[12] Sidhartha Panda, N.P. Padhy, "Comparison of Particle Swarm
Optimization And Genetic Algorithm for FACTS-Based Controller
Design", Applied Soft Computing, Vol. 8, Issue 4, pp. 1418-1427, 2008.
[13] M. Nambu and Y. Ohsawa, "Development of an advanced power system
stabilizer using a strict linearization approach", IEEE Transactions on
Power Systems, Vol. 11, pp. 813-818, 1996.
[14] E. V. Larsen and D. A. Swann "Applying Power System Stabilizers Part
II: Performance Objectives and Tuning Concepts-, IEEE Transactions on
Power Apparatus and Systems, Vol. 100, pp. 3025-3033, 1981.
[15] N. Tambey, M.L Kothari, "Unified Power Flow Controller (UPFC)
Based Damping Controllers for Damping Low Frequency Oscillations in
a Power System", IE(I) Journal-EL, Vol. 84, pp. 35-41, 2003.
[16] M. E. About-Ela, A. A. Sallam, J. D. McCalley and A. A. Fouad,
"Damping controller design for power system oscillations using global
signals-, IEEE Transactions on Power Systems, Vol. 11, pp. 767-773,
1996.
[17] D. E. Goldberg, Genetic Algorithms in Search, Optimization and
Machine Learning. Addison-Wesley, 1989.
[18] Sidhartha Panda, A.K. Baliarsingh, R.K. Sahu, "Multi-objective
Optimization Technique for TCSC-Based Supplementary Damping
Controller Design", Proceedings World Congress on Nature &
Biologically Inspired Computing (NaBIC 2009), 21st -23rd Dec., 2009
Bhubaneswar, India., pp. 1065-1070, 2009.
[19] Sidhartha Panda, C. Ardil, "Real-Coded Genetic Algorithm for Robust
Power System Stabilizer Design", International Journal of Electrical,
Computers and System Engineering, Vol. 2, No. 1, pp. 6-14, 2008.
[20] Sidhartha Panda, S.C. Swain, A.K. Baliarsingh, "Real-Coded Genetic
Algorithm for Robust Coordinated Design Of Excitation And SSSCBased
Controller", Journal of Electrical Engineering, Vol. 8, Issue 4, pp.
31-38, 2008.
[21] S. Panda, S.C. Swain, A.K. Baliarsingh, C. Ardil, "Optimal
Supplementary Damping Controller Design For TCSC Employing
RCGA", International Journal of Computational Intelligence, Vol. 5, No.
1, pp. 36-45, 2009.
[22] H F Wang. ÔÇÿA Unified Model for the Analysis of FACTS Devices in
Damping Power System Oscillations ÔÇö Part III : Unified Power Flow
Controller.- IEEETransactions on Power Delivery, Vol. 15, no 3, July
2000, p 978.
[23] N. Tambey, M.L Kothari, "Damping of Power System Oscillations with
Unified Power Flow Controller (UPFC)", IEE Proc. Gener. Trans.
Distrib., Vol. 150, No. 2, pp. 129-140, 2003.
[1] P. Kundur, Power System Stability and Control. New York: McGraw-
Hill, 1994.
[2] N. G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and
Technology of Flexible AC Transmission Systems, IEEE Press, New
York, 2000.
[3] Y. H Song, T. A. Johns, Flexible AC Transmission Systems (FACTS),
IEE, London, 2000.
[4] R. M Mathur, R. K. Verma, Thyristor-based FACTS Controllers for
Electrical Transmission Systems, IEEE Press, Piscataway, 2002.
[5] L Gyugyi. ÔÇÿUnified Power Flow Control Concept for Flexible ac
Transmission Systems.- IEE Proceedings-C, Vol. 139, No 4, pp. 323-
331, 1992.
[6] L. Gyugyi et. al., "The Unified Power Flow Controller: A New
Approach to Power Transmission Control", IEEE Trans. Power Delv.
Vol. 10, No. 2, pp. 1085-1093, 1995.
[7] Sidhartha Panda, "Application of non-dominated sorting genetic
algorithm-II technique for optimal FACTS-based controller design",
Journal of the Franklin Institute, doi:10.1016/j.jfranklin.2010.03.013.
[8] Sidhartha Panda, S.C. Swain, P.K. Rautray, R. Mallik, G. Panda,
"Design and analysis of SSSC-based supplementary damping
controller", Simulation Modelling Practice and Theory, doi:
10.1016/j.simpat.2010.04.007.
[9] Sidhartha Panda, "Multi-Objective Evolutionary Algorithm for SSSCBased
Controller Design", Electric Power System Research, Vol. 79,
Issue 6, pp. 937-944, 2009.
[10] Sidhartha Panda, "Differential Evolutionary Algorithm for TCSC-Based
Controller Design", Simulation Modelling Practice and Theory, Vol. 17,
pp. 1618-1634, 2009.
[11] Sidhartha Panda, "Multi-objective Non-Dominated Shorting Genetic
Algorithm-II for Excitation and TCSC-Based Controller Design",
Journal of Electrical Engineering, Vol. 60, No. 2, pp. 87-94, 2009.
[12] Sidhartha Panda, N.P. Padhy, "Comparison of Particle Swarm
Optimization And Genetic Algorithm for FACTS-Based Controller
Design", Applied Soft Computing, Vol. 8, Issue 4, pp. 1418-1427, 2008.
[13] M. Nambu and Y. Ohsawa, "Development of an advanced power system
stabilizer using a strict linearization approach", IEEE Transactions on
Power Systems, Vol. 11, pp. 813-818, 1996.
[14] E. V. Larsen and D. A. Swann "Applying Power System Stabilizers Part
II: Performance Objectives and Tuning Concepts-, IEEE Transactions on
Power Apparatus and Systems, Vol. 100, pp. 3025-3033, 1981.
[15] N. Tambey, M.L Kothari, "Unified Power Flow Controller (UPFC)
Based Damping Controllers for Damping Low Frequency Oscillations in
a Power System", IE(I) Journal-EL, Vol. 84, pp. 35-41, 2003.
[16] M. E. About-Ela, A. A. Sallam, J. D. McCalley and A. A. Fouad,
"Damping controller design for power system oscillations using global
signals-, IEEE Transactions on Power Systems, Vol. 11, pp. 767-773,
1996.
[17] D. E. Goldberg, Genetic Algorithms in Search, Optimization and
Machine Learning. Addison-Wesley, 1989.
[18] Sidhartha Panda, A.K. Baliarsingh, R.K. Sahu, "Multi-objective
Optimization Technique for TCSC-Based Supplementary Damping
Controller Design", Proceedings World Congress on Nature &
Biologically Inspired Computing (NaBIC 2009), 21st -23rd Dec., 2009
Bhubaneswar, India., pp. 1065-1070, 2009.
[19] Sidhartha Panda, C. Ardil, "Real-Coded Genetic Algorithm for Robust
Power System Stabilizer Design", International Journal of Electrical,
Computers and System Engineering, Vol. 2, No. 1, pp. 6-14, 2008.
[20] Sidhartha Panda, S.C. Swain, A.K. Baliarsingh, "Real-Coded Genetic
Algorithm for Robust Coordinated Design Of Excitation And SSSCBased
Controller", Journal of Electrical Engineering, Vol. 8, Issue 4, pp.
31-38, 2008.
[21] S. Panda, S.C. Swain, A.K. Baliarsingh, C. Ardil, "Optimal
Supplementary Damping Controller Design For TCSC Employing
RCGA", International Journal of Computational Intelligence, Vol. 5, No.
1, pp. 36-45, 2009.
[22] H F Wang. ÔÇÿA Unified Model for the Analysis of FACTS Devices in
Damping Power System Oscillations ÔÇö Part III : Unified Power Flow
Controller.- IEEETransactions on Power Delivery, Vol. 15, no 3, July
2000, p 978.
[23] N. Tambey, M.L Kothari, "Damping of Power System Oscillations with
Unified Power Flow Controller (UPFC)", IEE Proc. Gener. Trans.
Distrib., Vol. 150, No. 2, pp. 129-140, 2003.
@article{"International Journal of Electrical, Electronic and Communication Sciences:60397", author = "A.K. Baliarsingh and S. Panda and A.K. Mohanty and C. Ardil", title = "UPFC Supplementary Controller Design Using Real-Coded Genetic Algorithm for Damping Low Frequency Oscillations in Power Systems", abstract = "This paper presents a systematic approach for designing Unified Power Flow Controller (UPFC) based supplementary damping controllers for damping low frequency oscillations in a single-machine infinite-bus power system. Detailed investigations have been carried out considering the four alternatives UPFC based damping controller namely modulating index of series inverter (mB), modulating index of shunt inverter (mE), phase angle of series inverter (δB ) and phase angle of the shunt inverter (δE ). The design problem of the proposed controllers is formulated as an optimization problem and Real- Coded Genetic Algorithm (RCGA) is employed to optimize damping controller parameters. Simulation results are presented and compared with a conventional method of tuning the damping controller parameters to show the effectiveness and robustness of the proposed design approach.
", keywords = "Power System Oscillations, Real-Coded Genetic Algorithm (RCGA), Flexible AC Transmission Systems (FACTS), Unified Power Flow Controller (UPFC), Damping Controller.", volume = "7", number = "4", pages = "408-11", }
