Performance Comparison between PSO and GA in Improving Dynamic Voltage Stability in ANFIS Controllers for STATCOM
Abstract
One of STATCOM’s advantages is its quick response to disturbances in the power systems. The controller of STATCOM is commonly a PID controller. However, the PID controller is usually only highly effective at one or some operation points. In order to improve operational efficiency of the controller of STATCOM, the proposed ANFIS-PSO and ANFIS-GA controllers have been studied and applied to the studied power system. To demonstrate the performance of the proposed controllers, simulations of the voltage response in time-domain were performed in MATLAB to evaluate the effectiveness of the designed controllers for STATCOM. The simulation results showed that the proposed controllers can be used to improve the system stability as well as the voltage quality more effectively than the conventional PID controller. The ANFIS PSO controller carried out the best response after the occurrence of a three-phase short circuit fault.
Keywords:
STATCOM, adaptive neuro-fuzzy inference system (ANFIS), particle swarm optimization (PSO), genetic algorithm (GA), proportional integral derivative (PID), voltage stabilityDownloads
References
M. Kowsalya, K. K. Ray, D. Kothari, “Voltage stability margin enhancement through the optimal location of var compensator”, IEEE 2008 International Conference on Sustainable Energy Technologies, Singapore, November 24-27, 2008 DOI: https://doi.org/10.1109/ICSET.2008.4747033
R. Jadeja, S. Patel, S. Chauhan, “STATCOM: a preface to power quality in power systems performance”, Engineering, Technology & Applied Science Research, Vol. 6, No. 1, pp. 895-905, 2016 DOI: https://doi.org/10.48084/etasr.603
M. N. Eskander, S. I. Amer, “Mitigation of voltage dips and swells in grid-connected wind energy conversion systems”, 2009 ICCAS-SICE, Fukuoka, Japan, August 18-21, 2009
B. Pokharel, W. Gao, “Mitigation of disturbances in DFIG-based wind farm connected to weak distribution system using STATCOM”, North American Power Symposium (NAPS), Arlington, USA, September 26-28, 2010 DOI: https://doi.org/10.1109/NAPS.2010.5619587
Y. M. Alharbi, A. M. S. Yunus; A. A. Siada, “Application of STATCOM to improve the high-voltage-ride-through capability of wind turbine generator”, 2011 IEEE PES Innovative Smart Grid Technologies, Perth, Australia, November 13-16, 2011 DOI: https://doi.org/10.1109/ISGT-Asia.2011.6167138
A. Ganesh, R. Dahiya, G. K. Singh, “Development of simple technique for STATCOM for voltage regulation and power quality improvement”, IEEE International Conference on Power Electronics, PEDES, Trivandrum, India, December 14-17, 2016
G. Shahgholian, E. Mardani, A. Fattollahi, “Impact of PSS and STATCOM devices to the dynamic performance of a multi-machine power system”, Engineering, Technology & Applied Science Research, Vol. 7, No. 6, pp. 2113- 2117, 2017 DOI: https://doi.org/10.48084/etasr.1381
H. V. Nguyen, H. Nguyen, K. H. Le, “Hybrid damping controller for STATCOM to enhance power quality in multi-machine system”, International Conference on System Science and Engineering, Ho Chi Minh City, Vietnam, July 21-23, 2017
A. Awasthi, S. K. Gupta, M. K. Panda, “Design of a Fuzzy Logic controller based STATCOM for IEEE9 bus system”, European Journal of Advances in Engineering and Technology, Vol. 2, No. 4, pp. 62-67, 2015
J. S. R. Jang, “ANFIS: Adaptive-network-based fuzzy inference system”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No. 3, pp. 665–685, 1993 DOI: https://doi.org/10.1109/21.256541
A. Albakkar, O.P. Malik, “Adaptive neuro-fuzzy FACTS controller for transient stability enhancement”, 16th National Power System Conference, December 15-17, Osmania University, India, 2010
H. V. Nguyen, H. Nguyen, K. H. Le, “ANFIS and Fuzzy tuning of PID controller for STATCOM to enhance power quality in multi-machine system under large disturbance”, AETA 2018: Recent Advances in Electrical Engineering and Related Sciences: Theory and Application, Ostrava, Czech Republic, September 11-13, 2018 DOI: https://doi.org/10.1007/978-3-030-14907-9_4
A. Ganesh, R. Dahiya, G. K. Singh, “Development of simple technique for STATCOM for voltage regulation and power quality improvement”, IEEE International Conference on Power Electronics, Drives and Energy Systems, Trivandrum, India, Deccember 14-17, 2016 DOI: https://doi.org/10.1109/PEDES.2016.7914421
A. Varshney, R. Garg, “Comparison of different topologies of fuzzy logic controller to control D-STATCOM”, 3rd International Conference on Computing for Sustainable Global Development, New Delhi, India, March 16-18, 2016
D. Shen, P. W. Lehn, “Modeling, analysis and control of a current source inverter based STATCOM”, IEEE Transactions on Power Delivery. Vol. 17, No. l, pp. 248-253, 2002 DOI: https://doi.org/10.1109/61.974214
J. Jang, C. Sun, E. Mizutani, Neuro-fuzzy and soft computing, Prentice Hall, 1997
J. Kennedy, R. C. Eberhart, “Particle swarm optimization”, IEEE International Conference on Neural Networks, Perth, Australia, November 27-December 1, 1995
P.S. You, “An efficient computational approach for railway booking problems”, European Journal of Operational Research, Vol. 185, No. 2, pp. 811-824, 2008 DOI: https://doi.org/10.1016/j.ejor.2006.12.049
F. Solomonese, C. Barbulescu, S. Kilyeni, M. Litcanu, “Genetic algorithms. Power systems applications”, 6th International Conference on Human System Interactions, Sopot, Poland, June 6-8, 2013 DOI: https://doi.org/10.1109/HSI.2013.6577856
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