Designing of a fuzzy-sliding mod Controller for UPFC to Improve the Transient Stability
Keywords:
Transient Stability, Emotional learning, Unified Power Flow Controller (UPFC).
Abstract
An UPFC may be applied for steady-state power-flow and voltage control as well as for mastering dynamic phenomena like transient-stability margin enhancement, oscillation damping, etc. For these tasks the Lyapunov energy-function approach is frequently used as a convenient way to control or analyze the electric-power system (EPS). The basis for the implementation of such an approach is to know the energy function of the EPS. Currently, this is not possible for the EPSs that include UPFCs, because the already known energy functions that proved to be suitable for an EPS do not include such a device. In the present paper, the convenient operation and control of UPFC for transient stability improvement are considered. Considering that the system’s Lyapunov energy function is a relevant tool to study the stability affair. UPFC energy function optimization has been used in order to access the maximum of transient stability margin. In order to control UPFC, a fuzzy-sliding mod (FSM) and PI controller have been used. The designing results have been studied by the simulation of a single-machine system with infinite bus (SMIB) and another standard 9-buses system (Anderson and Fouad, 1977).
References
A. Kumar and S. B. Dubey, “Enhancement of Transient Stability in Transmission Line Using SVC Facts Controller”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-2, Issue-2, May 2013.
M.Karthik and P.Arul, “Optimal Power Flow Control Using FACTS Devices,’’ International Journal of Emerging Science and Engineering (IJESE) ISSN: 2319–6378, Volume-1, Issue-12, October 2013.
C. Makkar and L. Dewan, “Transient Stability Enhancement using Robust FACTS Controllers- A Brief Tour”, Canadian Journal on Electrical & Electronics Engineering Vol. 1, No. 7, December 2010.
A. Satheesh and T. Manigandan, “Maintaining power system stability with FACTS controller using bees algorithm and NN”, Journal of Theoretical and Applied Information Technology, Vol. 49 No.1, 10th March 2013.
S. Krishna, K. R. Padiyar, "Discrete Control of Unified Power Flow Controller for Stability Improvement", Electric Power Systems Research 75, pp. 178-189, 2005.
Narasimhamurthi, M. R. Musavi, "A General Energy Function for Transient Stability Analysis", IEEE Trans. CAS, Vol. CAS-31, No.7, pp. 637-675, July 1984.
Th. V. Cutsem, M. Ribbens-Pavella, "Structure preserving direct methods for transient stability analysis of power systems", Proc. 24th Conf. on Decision and Control, pp 70-77, Dec. 1985.
V. Azbe, U. Gabrijel, D. Povh, R. Mihalic, "The Energy Function of a General Multi-machine System With a Unified Power Flow Controller", IEEE Trans. Power Systems, Vol. 20, No. 3, August 2005.
M. Januszewski, J. Machowski, J. W. Bialek, "Application of the Direct Lyapunov Method to Improve Damping of Power Swings by Control of UPFC", IEE Proc.-Gener. Transm. Distrib., Vol. 151, No. 2, pp. 252-260, March 2004.
S. Limyingcharoen, U. D. Annakkage, N. C. Pahalawaththa, "Fuzzy Logic Based Unified Power Flow Controllers for Transient Stability Improvement", IEE Proc.-Gener. Transm. Distrib., Vol. 145, No. 3, May 1998.
S.Mishra, "Neural-network-based Adaptive UPFC for Improving Transient Stability Performance of Power System", IEEE Trans. Neural Networks, Vol. 17, No. 2, pp. 461-470, March 2006.
Chia-Chi Chu, Hung-Chi Tsai, "Application of Lyapunov-Based Adaptive Neural Network Controllers for Transient Stability Enhancement," Power and Energy Society General Meeting, pp. 1-6, July 2008.
Taki. F, Abazari. S, Arab Markadeh. G. R," Transient stability improvement using ANFIS controlled UPFC based on energy function" IEEE Conf on Electrical Engineering (ICEE), 2010.
V. K. Chandrakar, A. G. Kothari, "Comparison of RBFN based STATCOM, SSSC and UPFC Controllers for Transient Stability Improvementm," Power Systems Conference and Exposition, pp. 784-791, Nov. 2006.
M. R. Jamaly, A. Armani, M. Dehyadegari, C. Lucas, and Z. Navabi, “Emotion on FPGA: Model driven approach,” Expert Syst. Appl., vol. 36,no. 4, pp. 7369–7378, May 2009.
J. Moren, “Emotion and learning: A computational model of the Amygdala,” Ph.D. dissertation, Lund Univ., Lund, Sweden, 2002.
G. Shahgholian and A. Movahedi, “Modeling and Controller Design using ANFIS Method for Nonlinear Liquid Level System”, Journal of Information and Electronics Engineering, Vol. 1, No. 3, pp. 271-275, Nov. 2011.
C. Lucas, D. Shahmirzadi, and N. Sheikholeslami, “Introducing FSM:Brain emotional learning based intelligent control,” Int. J. Intell. Automat.Soft Comput., Vol. 10, No. 1, pp. 11–22, 2004.
A. Mohanty, M. Viswavandya and P. K. Ray, "An adaptive Fuzzy sliding mode controller for reactive power & transient stability management," 2016 IEEE Region 10 Conference (TENCON), Singapore, 2016, pp. 3195-3199.
H. Rouhani, M. Jalili, B. Arabi, W. Eppler, and C. Lucas, “Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger,” Expert Syst. Appl., Vol. 32, No. 3, pp. 911–918,2007.
R. Sivakumar, C. Sahana and P. A. Savitha, “Design of ANFIS-based Estimation and Control for MIMO Systems”, Journal of Engineering Research and Applications, Vol. 2, No.. 3, pp. 2803-2809, May-Jun 2012.
M. A. Rahman, R. M. Milasi, C. Lucas, B. N. Arrabi, and T. S. Radwan,“Implementation of emotional controller for interior permanent magnet synchronous motor drive,” IEEE Trans. Ind. Appl., Vol. 44, No. 5, pp. 1466-1476, Sep./Oct. 2008.
G. R. Arab Markadeh, E. Daryabeigi, C. Lucas, and M. A. Rahman, “Speed and Flux Control of Induction Motors Using Emotional Intelligent Controller,” IEEE Trans. Ind. Appl., Vol. 47, No. 3, pp. 1126-1135, MAY/JUNE 2011.
M. R. Jamali, A. Arami, B. Hosseini, B.Moshiri, and C. Lucas, “Real time emotional control for anti-swing and positioning control of SIMO overhead traveling crane,” Int. J. Innovative Comput. Inf. Control, Vol. 4, No. 9, pp. 2333–2344, Sep. 2008.
M. R. Jamali, M. Dehyadegari, A. Arami, C. Lucas, and Z. Navabi, “Realtime embedded emotional controller,” J. Neural Comput. Appl., Vol. 19, No. 1, pp. 13–19, 2010.
Arizadayana Z, Irwanto M, Fazliana F, Syafawati AN (2014) Improvement of dynamic power system stability by installing UPFC based on Fuzzy Logic Power System Stabilizer (FLPSS). In: IEEE 8th International Power Engineering and Optimization Conference (PEOCO), pp 188–193.
G. R. Arab Markadeh, E. Daryabeigi, C. Lucas, and M. A. Rahman, “Speed and Flux Control of Induction Motors Using Emotional Intelligent Controller,” IEEE Trans. Ind. Appl., Vol. 47, No. 3, pp. 1126-1135, MAY/JUNE 2011.
E. Daryabeigi, G. Arab Markadeh, C. Lucas, “Emotional controller in Electric Drives – A Review”, IEEE Conf, IECON 2010, pp. 2901 - 2907 Nov., 2010.
A. R. Sam and P.Arul, “Transient Stability Enhancement of Multi-machine Power System Using UPFC and SSSC”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-3, Issue-5, October 2013.
K. Vasudevan, “Maintaining Voltage Stability by Optimal Locating and Sizing by Combined Evolutionary Algorithm, “International Journal of Computer Applications 84(12):39-45, Volume 84 - Number 12, December 2013.
A. K. Mohanty and A.K. Barik, “Power System Stability Improvement Using FACTS Devices”, International Journal of Modern Engineering Research (IJMER), Vol.1, Issue.2, pp-666-672, ISSN: 2249-6645, May 2012.
M.Karthik and P.Arul, “Optimal Power Flow Control Using FACTS Devices,’’ International Journal of Emerging Science and Engineering (IJESE) ISSN: 2319–6378, Volume-1, Issue-12, October 2013.
C. Makkar and L. Dewan, “Transient Stability Enhancement using Robust FACTS Controllers- A Brief Tour”, Canadian Journal on Electrical & Electronics Engineering Vol. 1, No. 7, December 2010.
A. Satheesh and T. Manigandan, “Maintaining power system stability with FACTS controller using bees algorithm and NN”, Journal of Theoretical and Applied Information Technology, Vol. 49 No.1, 10th March 2013.
S. Krishna, K. R. Padiyar, "Discrete Control of Unified Power Flow Controller for Stability Improvement", Electric Power Systems Research 75, pp. 178-189, 2005.
Narasimhamurthi, M. R. Musavi, "A General Energy Function for Transient Stability Analysis", IEEE Trans. CAS, Vol. CAS-31, No.7, pp. 637-675, July 1984.
Th. V. Cutsem, M. Ribbens-Pavella, "Structure preserving direct methods for transient stability analysis of power systems", Proc. 24th Conf. on Decision and Control, pp 70-77, Dec. 1985.
V. Azbe, U. Gabrijel, D. Povh, R. Mihalic, "The Energy Function of a General Multi-machine System With a Unified Power Flow Controller", IEEE Trans. Power Systems, Vol. 20, No. 3, August 2005.
M. Januszewski, J. Machowski, J. W. Bialek, "Application of the Direct Lyapunov Method to Improve Damping of Power Swings by Control of UPFC", IEE Proc.-Gener. Transm. Distrib., Vol. 151, No. 2, pp. 252-260, March 2004.
S. Limyingcharoen, U. D. Annakkage, N. C. Pahalawaththa, "Fuzzy Logic Based Unified Power Flow Controllers for Transient Stability Improvement", IEE Proc.-Gener. Transm. Distrib., Vol. 145, No. 3, May 1998.
S.Mishra, "Neural-network-based Adaptive UPFC for Improving Transient Stability Performance of Power System", IEEE Trans. Neural Networks, Vol. 17, No. 2, pp. 461-470, March 2006.
Chia-Chi Chu, Hung-Chi Tsai, "Application of Lyapunov-Based Adaptive Neural Network Controllers for Transient Stability Enhancement," Power and Energy Society General Meeting, pp. 1-6, July 2008.
Taki. F, Abazari. S, Arab Markadeh. G. R," Transient stability improvement using ANFIS controlled UPFC based on energy function" IEEE Conf on Electrical Engineering (ICEE), 2010.
V. K. Chandrakar, A. G. Kothari, "Comparison of RBFN based STATCOM, SSSC and UPFC Controllers for Transient Stability Improvementm," Power Systems Conference and Exposition, pp. 784-791, Nov. 2006.
M. R. Jamaly, A. Armani, M. Dehyadegari, C. Lucas, and Z. Navabi, “Emotion on FPGA: Model driven approach,” Expert Syst. Appl., vol. 36,no. 4, pp. 7369–7378, May 2009.
J. Moren, “Emotion and learning: A computational model of the Amygdala,” Ph.D. dissertation, Lund Univ., Lund, Sweden, 2002.
G. Shahgholian and A. Movahedi, “Modeling and Controller Design using ANFIS Method for Nonlinear Liquid Level System”, Journal of Information and Electronics Engineering, Vol. 1, No. 3, pp. 271-275, Nov. 2011.
C. Lucas, D. Shahmirzadi, and N. Sheikholeslami, “Introducing FSM:Brain emotional learning based intelligent control,” Int. J. Intell. Automat.Soft Comput., Vol. 10, No. 1, pp. 11–22, 2004.
A. Mohanty, M. Viswavandya and P. K. Ray, "An adaptive Fuzzy sliding mode controller for reactive power & transient stability management," 2016 IEEE Region 10 Conference (TENCON), Singapore, 2016, pp. 3195-3199.
H. Rouhani, M. Jalili, B. Arabi, W. Eppler, and C. Lucas, “Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger,” Expert Syst. Appl., Vol. 32, No. 3, pp. 911–918,2007.
R. Sivakumar, C. Sahana and P. A. Savitha, “Design of ANFIS-based Estimation and Control for MIMO Systems”, Journal of Engineering Research and Applications, Vol. 2, No.. 3, pp. 2803-2809, May-Jun 2012.
M. A. Rahman, R. M. Milasi, C. Lucas, B. N. Arrabi, and T. S. Radwan,“Implementation of emotional controller for interior permanent magnet synchronous motor drive,” IEEE Trans. Ind. Appl., Vol. 44, No. 5, pp. 1466-1476, Sep./Oct. 2008.
G. R. Arab Markadeh, E. Daryabeigi, C. Lucas, and M. A. Rahman, “Speed and Flux Control of Induction Motors Using Emotional Intelligent Controller,” IEEE Trans. Ind. Appl., Vol. 47, No. 3, pp. 1126-1135, MAY/JUNE 2011.
M. R. Jamali, A. Arami, B. Hosseini, B.Moshiri, and C. Lucas, “Real time emotional control for anti-swing and positioning control of SIMO overhead traveling crane,” Int. J. Innovative Comput. Inf. Control, Vol. 4, No. 9, pp. 2333–2344, Sep. 2008.
M. R. Jamali, M. Dehyadegari, A. Arami, C. Lucas, and Z. Navabi, “Realtime embedded emotional controller,” J. Neural Comput. Appl., Vol. 19, No. 1, pp. 13–19, 2010.
Arizadayana Z, Irwanto M, Fazliana F, Syafawati AN (2014) Improvement of dynamic power system stability by installing UPFC based on Fuzzy Logic Power System Stabilizer (FLPSS). In: IEEE 8th International Power Engineering and Optimization Conference (PEOCO), pp 188–193.
G. R. Arab Markadeh, E. Daryabeigi, C. Lucas, and M. A. Rahman, “Speed and Flux Control of Induction Motors Using Emotional Intelligent Controller,” IEEE Trans. Ind. Appl., Vol. 47, No. 3, pp. 1126-1135, MAY/JUNE 2011.
E. Daryabeigi, G. Arab Markadeh, C. Lucas, “Emotional controller in Electric Drives – A Review”, IEEE Conf, IECON 2010, pp. 2901 - 2907 Nov., 2010.
A. R. Sam and P.Arul, “Transient Stability Enhancement of Multi-machine Power System Using UPFC and SSSC”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-3, Issue-5, October 2013.
K. Vasudevan, “Maintaining Voltage Stability by Optimal Locating and Sizing by Combined Evolutionary Algorithm, “International Journal of Computer Applications 84(12):39-45, Volume 84 - Number 12, December 2013.
A. K. Mohanty and A.K. Barik, “Power System Stability Improvement Using FACTS Devices”, International Journal of Modern Engineering Research (IJMER), Vol.1, Issue.2, pp-666-672, ISSN: 2249-6645, May 2012.
Published
2017-06-15
How to Cite
Azizi, M. (2017). Designing of a fuzzy-sliding mod Controller for UPFC to Improve the Transient Stability. Majlesi Journal of Mechatronic Systems, 6(1). Retrieved from https://ms.majlesi.info/index.php/ms/article/view/307
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