Dynamic Stability Enhancement Using Fuzzy PID Control Technology for Power System
Tóm tắt
Từ khóa
Tài liệu tham khảo
J. M. Ramirez–Arredondo, “The closed–loop characteristic polynomial as a means to obtain robust performance of conventional PSS,” International Journal of Electrical Power & Energy Systems, vol. 22, no. 4, pp. 259–268, May 2000.
P. W. Sauer and M. A. Pai, Power System Dynamics and Stability, Prentice–Hall, New Jersy, 1998.
A. Stativ and M. Gavrila, “Optimal tuning and placement of power system stabilizer using particle swarm optimization,” Proc. of International Conference and Exposition on Electrical and Power Engineering, Iasi, Romania, pp. 25–37, October 2012.
A. Chatterjee, S. P. Ghoshal, and V. Mukherjee, “Chaotic ant swarm optimization for fuzzy–based tuning of power system stabilizer,” Electrical Power and Energy Systems, vol. 33, no. 3, pp. 657–672, March 2011.
P. M. Anderson and A. A. Fouad, Power System Control and Stability, Press–Ames, Iowa, 1999.
P. Kundur, Power System Stability and Control, McGraw–Hill, New York, 1994.
E. S. Ali, “Optimization of power system stabilizers using BAT search algorithm,” Electrical Power and Energy Systems, vol. 61, pp. 683–690, October 2014.
S. Panda, B. K. Sahu, and P. K. Mohanty, “Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization,” Journal of the Franklin Institute, vol. 349, pp. 2609.2625, July 2012.
H. Zhu, L. Li, Y. Guo, and Y. Yang, “CAS algorithmbased optimum design of PID controller in AVR system,” Chaos, Solitons and Fractals, vol. 42, PP. 792–800, February 2009.
N. S. Rathore, D. P. Chauhan, and V. P. Singh, “Luus–Jaakola optimization procedure for PID controller tuning in reverse osmosis system,” International Journal of Electrical, Electronics and Data Communication, vol. 3, no. 6 pp. 77–80, June 2015.
S. Wadhwani and V. Verma, “Evolutionary computation techniques based optimal PID controller tuning,” International Journal of Engineering Trends and Technology, vol. 4, no. 6, pp. 2529–2534, June 2013.
I. Jana, A. Brindha, K. Selvam, and A. Srinivasan, “Tuning of PID controller for reverse osmosis (RO) desalination system using particle swarm optimization (PSO) technique,” International Journal of Control Theory and Applications, vol. 10, no. 39, pp. 83–92, January 2017.
A. Baykasoglu, A. Hamzadayi, and S. Y. Köse, “Testing the performance of teaching–learning based optimization (TLBO) algorithm on combinatorial problems: Flow shop and job shop scheduling cases,” Information Sciences, vol. 276, pp. 204–218, August 2014.
M. Singh, B. K. Panigrahi, and A. R. Abhyankar, “Optimal coordination of directional over–current relays using teaching learning–based optimization (TLBO) algorithm,” International Journal of Electrical Power and Energy Systems, vol. 50, no. 11 pp. 33–41, September 2013.
D. Jia and B. You, “Study on novel plasma arc cutting technology based on PIDNN–FUZZY controller,” International Journal of Innovative Computing, Information and Control, vol. 7, no. 7, pp. 4171–4182, July 2011.
M. L. Kothari, B. R. Segal, and K. Ghodki, “Adaptive conventional power system stabilizer based on artificial neural network power electronics,” Proc. of Proceedings of International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth, vol. 2, no. 6, pp. 1072–1077, 1996.
M. A. M. Hassan, O.P. Malik, and G. S. Hope, “A fuzzy logic based stabilizer for synchronous machine,” IEEE Transaction on Energy conversion, vol. 6, no. 3, pp. 407–413, September 1991.
Y. Li, K. Sun, and S. Tong, “Observer–based adaptive fuzzy fault–tolerant optimal control for SISO nonlinear systems,” IEEE Transactions on Cybernetics, pp. 1–13, January 2018.
T. Shaocheng and L. Yongming, “Adaptive fuzzy output feedback control for switched nonlinear systems with unmodeled dynamics,” IEEE Transactions on Cybernitics, vol. 47, no. 2, pp. 295–305, February 2017.
Y. Li, K. Sun, and S. Tong, “Adaptive fuzzy robust faulttolerant optimal control for nonlinear large–scale system,” IEEE Transcations on Fuzzy Systems, vol. 26, no. 5, pp. 2899–2914, October 2018.
M. S. Aslam, B. Zhang, Y. Zhang, and Z. Zhang, “Extended dissipative filter design for T–S fuzzy systems with multiple time delays,” ISA Transactions, vol. 80, pp. 22–34, September 2018.
C. Hua, G. Liu, C. Hua, and X. Guan, “Adaptive neural tracking control for interconnected switched systems with non–ISS unmodeled dynamics,” IEEE Transcations on Cybernitics, pp. 1–11, DOI: 10.1109/TCYB.2018.2809576, March 2018.
H. Wang, W. Sun, and P. Xiaoping Liu, “Adaptive intelligent control of nonaffine nonlinear time–delay systems with dynamic uncertainties,” IEEE Transcations on Systems, Man, and Cybernitics: Systems, vol. 47, no. 7, pp. 1474–1485, July 2017.
H. Wang, P. X. Liu, and P. Shi, “Observer–based fuzzy adaptive output–feedback control of stochastic nonlinear multiple time–delay systems,” IEEE Transcations on Cybernitics, vol. 47, no. 9, pp. 2568–2578, September 2017.
X. Zhao, H. Yang, H. R. Karimi, and Y. Zhu, “Adaptive neural control of MIMO nonstrict–feedback nonlinearm systems with time delay,” IEEE Transcations on Cybernitics, vol. 46, no. 6, pp. 1337–1349, June 2015.
X. Zhao, P. Shi, and X. Zheng, “Fuzzy adaptive control design and discretization for a class of nonlinear uncertain systems,” IEEE Transcations on Cybernitics, vol. 46, no. 6, pp. 1476–1483, November 2016.
M. Kahl and T. Leibfried, “Decentralized model predictive control of electrical power systems,” Proc. of Conference on Power Systems Transients (IPST2013), Vancouver, Canada, pp. 18–20, July 2013.
R. Kennedy and R. Eberhart, “Particle swarm optimization,” Proc. of IEEE International Confrence Neural Networks, vol. 4, no. 948, pp. 1942–1948, 1995.
M. A. Nekoui, M. A. Khameneh, and M. H. Kazemi, “Optimal design of PID controller for a CSTR system using Particle Swarm Optimization,” Proc. of 14th International POlVer Electronics and Motion Control Conference (EPEPEMC), Iran, pp. T7–63–T7–66, 2010.
M. Geetha, K. A. Balajee, and K. A Jerome, “Optimal tuning of virtual feedback PID controller for a continuous stirred tank reactor (CSTR) using particle swarm optimization (PSO) algorithm,” Proc. of IEEE–International Conference On Advances In Engineering, Science And Management (lCAESM), pp. 94–99, March 2012.
R. V. Rao and V. D. Kalyankar, “Parameters optimization of advanced machining processes using TLBO algorithm,” Proc. of EPPM, Singapore, pp. 21–32, September 2011.
P. Duan, J. Li, Y. Wang, H. Y. Sang, and B. X. Jia, “Solving chiller loading optimization problems using an improved teaching–learning–based optimization algorithm,” Optimal Control Applications and Methods, vol. 39, no. 1, pp. 65–77, May 2018.
W. Bin, Research of the Synchronous Generator Excitation Control System Based on Simulation, Nanchang University, 2007.
D. Jia, Q. Wu, Z. Sun, and P. Xu, “A switching–inverter power controller based on fuzzy adaptive PID,” Proc. of the 6th International Forum on Strategic Technology, pp. 695–699, August 2011.
B. Youn and D. Sun, “Fuzzy PID control technology for synchronous generator excitation,” International Journal of Control and Automation, Vol.8, no. 10, pp. 91–98, August 2015.
M. A. Abido, “Optimal design of power–system stabilizers using particle swarm optimization,” IEEE Transactions on Energy Conversion, vol. 17, no. 3, pp. 406–413, September 2002.