Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems

Dianwei Qian; Guoliang Fan

doi:10.1109/JAS.2018.7511078

Volume 5 Issue 3

May 2018

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

CiteScore: 23.5, Top 2% (Q1)
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Dianwei Qian and Guoliang Fan, "Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 3, pp. 706-717, Mar. 2018. doi: 10.1109/JAS.2018.7511078

Citation:

Dianwei Qian and Guoliang Fan, "Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems," IEEE/CAA J. Autom. Sinica, vol. 5, no. 3, pp. 706-717, Mar. 2018. doi: 10.1109/JAS.2018.7511078

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Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems

doi: 10.1109/JAS.2018.7511078

Dianwei Qian^{1
,
,},
Guoliang Fan^2
,

1.
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
2.
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Funds:

National Natural Science Foundation of China 60904008

National Natural Science Foundation of China 61273336

the Fundamental Research Funds for the Central Universities 2018MS025

the National Basic Research Program of China (973 Program) B1320133020

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Abstract

Abstract

This paper addresses a terminal sliding mode control (T-SMC) method for load frequency control (LFC) in renewable power systems with generation rate constraints (GRC). A two-area interconnected power system with wind turbines is taken into account for simulation studies. The terminal sliding mode controllers are assigned in each area to achieve the LFC goal. The increasing complexity of the nonlinear power system aggravates the effects of system uncertainties. Radial basis function neural networks (RBF NNs) are designed to approximate the entire uncertainties. The terminal sliding mode controllers and the RBF NNs work in parallel to solve the LFC problem for the renewable power system. Some simulation results illustrate the feasibility and validity of the presented scheme.

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References(32)

References

[1]	S. R. Bull, "Renewable energy today and tomorrow, " Proc. IEEE, vol. 89, no. 8, pp. 1216-1226, Aug. 2001. http://ci.nii.ac.jp/naid/20001651989
[2]	S. Behera, S. Sahoo, and B. B. Pati, "A review on optimization algorithms and application to wind energy integration to grid, " Renew. Sustain. Energy Rev. , vol. 48, pp. 214-227, Aug. 2015. http://www.sciencedirect.com/science/article/pii/S1364032115002191
[3]	T. Basbous, R. Younes, A. Ilinca, and J. Perron, "Optimal management of compressed air energy storage in a hybrid wind-pneumatic-diesel system for remote area power generation, " Energy, vol. 84, pp. 267-278, May 2015. http://www.sciencedirect.com/science/article/pii/S0360544215003497
[4]	C. X. Wang and J. D. McCalley, "Impact of wind power on control performance standards, " Int. J. Electr. Power Energy Syst. , vol. 47, pp. 225-234, May 2013. http://www.sciencedirect.com/science/article/pii/S0142061512006424
[5]	S. P. Wen, X. H. Yu, Z. G. Zeng, and J. J. Wang, "Event-triggering load frequency control for multiarea power systems with communication delays, " IEEE Trans. Industr. Electron. , vol. 63, no. 2, pp. 1308-1317, Feb. 2016. http://www.researchgate.net/publication/272398269_Event-Triggering_Load_Frequency_Control_for_Multi-Area_Power_Systems_with_Communication_Delays
[6]	P. K. Ray, S. R. Mohanty, and N. Kishor, "Dynamic load-frequency control of hybrid renewable energy based power system with HVDC-link, " J. Electr. Eng. Theory Appl. , vol. 1, no. 1, pp. 24-31, Feb. 2010. http://connection.ebscohost.com/c/articles/49174079/dynamic-load-frequency-control-hybrid-renewable-energy-based-power-system-hvdc-link
[7]	F. Díaz-González, M. Hau, A. Sumper, and O. Gomis-Bellmunt, "Participation of wind power plants in system frequency control: review of grid code requirements and control methods, " Renew. Sustain. Energy Rev. , vol. 34, pp. 551-564, Jun. 2014. http://www.sciencedirect.com/science/article/pii/S1364032114002019
[8]	D. Rangaswami and P. Sennappan, "Load frequency control using multi-stage fuzzy logic controller for wind-micro hydro-diesel hybrid power system, " J. Vib. Control, vol. 19, no. 7, pp. 1004-1014, May 2013. https://www.researchgate.net/publication/258162424_Load_frequency_control_using_multi-stage_fuzzy_logic_controller_for_wind-micro_hydro-diesel_hybrid_power_system
[9]	H. Bevrani and P. R. Daneshmand, "Fuzzy logic-based load-frequency control concerning high penetration of wind turbines, " IEEE Syst. J. , vol. 6, no. 1, pp. 173-180, Mar. 2012. http://www.researchgate.net/publication/220544753_Fuzzy_Logic-Based_Load-Frequency_Control_Concerning_High_Penetration_of_Wind_Turbines
[10]	T. H. Mohamed, J. Morel, H. Bevrani, and T. Hiyama, "Model predictive based load frequency control-design concerning wind turbines, " Int. J. Electr. Power Energy Syst. , vol. 43, no. 1, pp. 859-867, Dec. 2012. http://www.sciencedirect.com/science/article/pii/S0142061512002943
[11]	T. H. Mohamed, J. Morel, H. Bevrani, A. Abd-Eltawwab Hassan, Y. Sayed Mohamed, and T. Hiyama, "Decentralized model predictive-based load-frequency control in an interconnected power system concerning wind turbines, " IEEJ Trans. Electr. Electron. Eng. , vol. 7, no. 5, pp. 487-494, Sep. 2012. http://www.researchgate.net/publication/264721267_Decentralized_model_predictive-based_load-frequency_control_in_an_interconnected_power_system_concerning_wind_turbines
[12]	M. H. Kazemi, M. Karrari, and M. B. Menhaj, "Decentralized robust adaptive load frequency control using interactions estimation, " Electr. Eng. , vol. 85, no. 4, pp. 219-227, Sep. 2003. doi: 10.1007/s00202-003-0164-8
[13]	L. R. Chang-Chien, N. B. Hoonchareon, C. M. Ong, and R. A. Kramer, "Estimation of $beta$ for adaptive frequency bias setting in load frequency control, " IEEE Trans. Power Syst. , vol. 18, no. 2, pp. 904-911, May 2003.
[14]	V. I. Utkin, Sliding Modes in Control and Optimization. Berlin Heidelberg, Germany: Springer, 1992.
[15]	D. W. Qian, X. J. Liu, and J. Q. Yi, "Robust sliding mode control for a class of underactuated systems with mismatched uncertainties, " Proc. Inst. Mech. Eng. I J. Syst. Control Eng. , vol. 223, no. 6, pp. 785-795, Sep. 2009. https://www.researchgate.net/publication/245389521_Robust_sliding_mode_control_for_a_class_of_underactuated_systems_with_mismatched_uncertainties
[16]	Z. M. Al-Hamouz and Y. L. Abdel-Magid, "Variable structure load frequency controllers for multiarea power systems, " Int. J. Electr. Power Energy Syst. , vol. 15, no. 5, pp. 293-300, Oct. 1993. http://www.sciencedirect.com/science/article/pii/014206159390050W
[17]	K. Vrdoljak, N. Perić, and I. Petrović, "Sliding mode based load-frequency control in power systems, " Electr. Power Syst. Res. , vol. 80, no. 5, pp. 514-527, May 2010. http://www.sciencedirect.com/science/article/pii/S0378779609002673
[18]	Z. Al-Hamouz, H. Al-Duwaish, and N. Al-Musabi, "Optimal design of a sliding mode AGC controller: application to a nonlinear interconnected model, " Electr. Power Syst. Res. , vol. 81, no. 7, pp. 1403-1409, Jul. 2011. http://www.sciencedirect.com/science/article/pii/S0378779611000393
[19]	R. Hooshmand, M. Ataei, and A. Zargari, "A new fuzzy sliding mode controller for load frequency control of large hydropower plant using particle swarm optimization algorithm and Kalman estimator, " Eur. Trans. Electr. Power, vol. 22, no. 6, pp. 812-830, Sep. 2012. http://www.researchgate.net/publication/263374683_A_new_fuzzy_sliding_mode_controller_for_load_frequency_control_of_large_hydropower_plant_using_particle_swarm_optimization_algorithm_and_Kalman_estimator
[20]	D. W. Qian, D. B. Zhao, J. Q. Yi, and X. J. Liu, "Neural sliding-mode load frequency controller design of power systems, " Neural Comput. Appl. , vol. 22, no. 2, pp. 279-286, Feb. 2013. doi: 10.1007/s00521-011-0709-0
[21]	B. Mohanty, "TLBO optimized sliding mode controller for multi-area multi-source nonlinear interconnected AGC system, " Int. J. Electr. Power Energy Syst. , vol. 73, pp. 872-881, Dec. 2015. http://www.sciencedirect.com/science/article/pii/S0142061515002690
[22]	Y. Mi, Y. Fu, D. D. Li, C. S. Wang, P. C. Loh, and P. Wang, "The sliding mode load frequency control for hybrid power system based on disturbance observer, " Int. J. Electr. Power Energy Syst. , vol. 74, pp. 446 -452, Jan. 2016. http://www.sciencedirect.com/science/article/pii/S0142061515003002
[23]	S. Mobayen, "Finite-time tracking control of chained-form nonholonomic systems with external disturbances based on recursive terminal sliding mode method, " Nonlinear Dyn. , vol. 80, no. 1-2, pp. 669-683, Apr. 2015. doi: 10.1007%2Fs11071-015-1897-4
[24]	S. Mobayen, "Fast terminal sliding mode controller design for nonlinear second-order systems with time-varying uncertainties, " Complexity, vol. 21, no. 2, pp. 239-244, Dec. 2015. http://www.researchgate.net/publication/265296933_Fast_terminal_sliding_mode_controller_design_for_nonlinear_second-order_systems_with_time-varying_uncertainties
[25]	A. Bidadfar, H. P. Nee, L. D. Zhang, L. Harnefors, S. Namayantavana, M. Abedi, M. Karrari, and G. B. Gharehpetian, "Power system stability analysis using feedback control system modeling including HVDC transmission links, " IEEE Trans. Power Syst. , vol. 31, no. 1, pp. 116-124, Jan. 2016. http://www.researchgate.net/publication/273945413_power_system_stability_analysis_using_feedback_control_system_modeling_including_hvdc_transmission_links
[26]	R. K. Sahu, S. Panda, and N. K. Yegireddy, "A novel hybrid DEPS optimized fuzzy PI/PID controller for load frequency control of multi-area interconnected power systems, " J. Process Control, vol. 24, no. 10, pp. 1596-1608, Oct. 2014. http://www.researchgate.net/publication/265388284_A_novel_hybrid_DEPS_optimized_fuzzy_PIPID_controller_for_load_frequency_control_of_multi-area_interconnected_power_systems
[27]	Y. F. Lv, J. Na, Q. M. Yang, X. Wu, and Y. Guo, "Online adaptive optimal control for continuous-time nonlinear systems with completely unknown dynamics, " Int. J. Control, vol. 89, no. 1, pp. 99-112, Jan. 2016. doi: 10.1080/00207179.2015.1060362
[28]	M. C. Pai, "Dynamic output feedback RBF neural network sliding mode control for robust tracking and model following, " Nonlinear Dyn. , vol. 79, no. 2, pp. 1023-1033, Jan. 2015. doi: 10.1007/s11071-014-1720-7
[29]	S. Mobayen, "An adaptive fast terminal sliding mode control combined with global sliding mode scheme for tracking control of uncertain nonlinear third-order systems, " Nonlinear Dyn. , vol. 82, no. 1-2, pp. 599-610, Oct. 2015. doi: 10.1007%2Fs11071-015-2180-4
[30]	C. M. Dorling and A. S. I. Zinober, "Two approaches to hyperplane design in multivariable variable structure control systems, " Int. J. Control, vol. 44, no. 1, pp. 65-82, Jun. 1986. doi: 10.1080/00207178608933583
[31]	Z. H. Man and X. H. Yu, "Terminal sliding mode control of MIMO linear systems, " IEEE Trans. Circuits Syst. I Fundam. Theory Appl. , vol. 44, no. 11, pp. 1065-1070, Nov. 1997. http://www.researchgate.net/publication/3323024_Terminal_sliding_mode_control_of_MIMO_linear_systems
[32]	S. Xu, J. Ma, and Y. Li, "Dynamic nonsingular terminal sliding mode control of uncertain linear multivariable systems, " ICIC Express Lett. , vol. 5, no. 9, pp. 3033-3038, Sep. 2011. https://www.researchgate.net/publication/289896477_Dynamic_nonsingular_terminal_sliding_mode_control_of_uncertain_linear_multivariable_systems

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Neural-Network-Based Terminal Sliding Mode Control for Frequency Stabilization of Renewable Power Systems

doi: 10.1109/JAS.2018.7511078

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