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Dev, Ark; Anand, Sumant; Sarkar, Mrinal Kanti

Nonlinear disturbance observer based adaptive super twisting sliding mode load frequency control for nonlinear interconnected power network. (English) Zbl 07886902

Asian J. Control 23, No. 5, 2484-2494 (2021).
Summary: This article revisits the study of load frequency control (LFC) problem in an interconnected nonlinear power network under mismatched disturbance. Unlike previous works, a more realistic interconnected power network with nonlinear coupling between control areas and also including nonlinearities like generation rate constraint (GRC) and governor dead band (GDB) is under study. An adaptive super twisting sliding mode controller (ST-SMC) is designed based on system states and estimated disturbance. The nonlinear disturbance observer (NDO) estimates the mismatch between the electrical and mechanical power and then the estimated value is employed in the controller design to compensate the disturbance. The proposed control scheme ensures faster frequency and tie-line power stabilization compared with techniques existing in the literature. The robustness of the proposed design is validated under random varying step load disturbance and with two area four machine Kundur’s test system. The closed loop system stability is theoretically proved using the Lyapunov function. Simulation results confirm the effectiveness of the proposed design in a two-area interconnected power network.
© 2020 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd

Cited in 4 Documents

MSC:

93-XX Systems theory; control

Keywords:

adaptive control; decentralized control; load frequency control (LFC); nonlinear control systems; power systems; sliding mode control
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References:

[1] M.Vidyasagar, Nonlinear systems analysis, Siam, New Jersey, USA, 2002. · Zbl 1006.93001
[2] O. I.Elgerd, Electric energy systems theory: an introduction, Tata McGraw‐Hill, New Delhi, India, 1983.
[3] A.Pappachen and A. P.Fathima, Critical research area on load frequency control issues in a deregulated power system: A state‐of‐the‐art‐of‐review, Renew. Sust. Energ. Rev., 72 (2017), 163-177.
[4] Y. V.Hote and S.Jain, PID controller design for load frequency control: Past, present and future challenges, IFAC PapersOnLine, 51 (4) (2018), 604-609.
[5] H.Fan et al., Frequency regulation of multi‐area power systems with plug‐in electric vehicles considering communication delays, IET Gener. Transm. Distrib., 10 (14) (2016), 3481-3491.
[6] C. S.Rao, S. S. N.Raju and P. S.Raju, “Ant colony system algorithm for Automatic generation control of hydrothermal system under open market scenario,” in: Proc. of the IET‐UK International Conference on Information and Communication Technology in Electrical Sciences, Tamil Nadu, India, pp. 112-119 (2007).
[7] E.Gupta and A.Saxena, Grey wolf optimizer based regulator Design for Automatic Generation Control of interconnected power system, Cogent Eng, 3 (1) (2016), 1-20.
[8] A. Y.Abdelaziz and E. S.Ali, Cuckoo search algorithm‐based load frequency controller design for nonlinear interconnected power system, Int. J. Electr. Power Energy Syst., 73 (2015), 632-643.
[9] K.Jagatheesan et al., Design of a proportional‐integral‐derivative controller for an automatic generation control of multi‐area power thermal systems using firefly algorithm, IEEE/CAA J Autom Sinica, 6 (2) (2019), 503-515.
[10] A.Demiroren and H. L.Zeynelgil, GA application to optimization of AGC in three area power system after deregulation, Int. J. Electr. Power Energy Syst., 29 (3) (2007), 230-240.
[11] L. C.Saikia et al., Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller, Int. J. Electr. Power Energy Syst., 33 (4) (2011), 1101-1108.
[12] İ.Kocaarslan and E.Çam, Fuzzy logic controller in interconnected electrical power systems for load‐frequency control, Int. J. Electr. Power Energy Syst., 27 (8) (2005), 542-549.
[13] H. A.Yousef et al., Load frequency control of a multi‐area power system: An adaptive fuzzy logic approach, IEEE Trans. Power Syst. 29 (4) (2014), 1822-1830.
[14] S. K.Pandey, N.Kishore, and S.Mohanty, Frequency regulation in hybrid power system using iterative proportional‐integral‐derivative H∞ controller, Electr. Power Compon. Syst., 42 (2) (2014), 132-148.
[15] M.Ouasaid, M.Maaroufi, and M.Cherkaoui, Observer‐based nonlinear control of power system using sliding mode control strategy, Electr. Power Syst. Res. 84 (1) (2012), 135-143.
[16] X.Su, X.Liu, and Y. D.Song, Event triggered sliding mode control for multi area power systems, IEEE Trans. Ind. Electron, 64 (8) (2017), 6732-6741.
[17] H. E.Zhang, J.Liu, and S.Xu, H‐infinity load frequency control of networked power systems via an event‐triggered scheme, IEEE Trans. Ind. Electron, 67 (2019), 7104-7113, https://doi.org/10.1109/TIE.2019.2939994. · doi:10.1109/TIE.2019.2939994
[18] H.Li, X.Wang, and J.Xiao, Adaptive event‐triggered load frequency control for interconnected microgrids by observer‐based sliding mode control, IEEE Access, 7 (2019), 68271-68280.
[19] S.Wen et al., Event triggered load frequency control for multi area power systems with communication delay, IEEE Trans. Ind. Appl. 63 (2) (2015), 1-11.
[20] D.Yao et al., Event triggered sliding mode control of discrete time markov jump systems, IEEE Trans. Syst. Man Cybern. ‐Syst. 49 (10) (2018), 2016-2025.
[21] C.Peng and F.Li, A survey on recent advances in event triggered communication and control, Inform. Sci, 457-458 (2018), 313-125. · Zbl 1448.93210
[22] Y.Mi, Y.Fu, and C.Wang, Decentralized sliding mode load frequency control for multi‐area power systems, IEEE Trans. Power Syst., 28 (4) (2013), 4301-4309.
[23] Y.Mi et al., Sliding mode load frequency control for hybrid power system based on disturbance observer, Electr Power Energy Syst, 74 (2016), 446-452.
[24] S.Prasad, S.Purwar, and N.Kishore, Load frequency regulation using observer based non‐linear sliding mode control, Electr Power Energy Syst, 104 (2019), 178-193.
[25] A.Dev, V.Léchappé, and M. K.Sarkar, Prediction‐based super twisting sliding mode load frequency control for multi area interconnected power systems with state and input time delays using disturbance observer, Int J. Control, (2019), 1-14, https://doi.org/10.1080/00207179.2019.1673487. · Zbl 1480.93073 · doi:10.1080/00207179.2019.1673487
[26] M. K.Sarkar et al., Chattering free robust adaptive integral higher order sliding mode control for load frequency problems in multi area power systems, IET Contr. Theory Appl., 12 (9) (2018), 1216-1227.
[27] K.Liao and Y.Xu, A robust load frequency control scheme for power systems based on second‐order sliding mode and extended disturbance observer, IEEE Trans. Ind. Inform., 14 (7) (2017), 3076-3086.
[28] A.Dev and M. K.Sarkar, Robust higher order observer based non‐linear super twisting load frequency control for multi area power systems via sliding mode, Int. J. Control Autom. Syst. 17 (7) (2019), 1814-1825.
[29] S.Trip et al., Robust load frequency control of nonlinear power network, Int. J. Control, 93 (2019), 346-359, https://doi.org/10.1080/00207179.2018.1557338. · Zbl 1455.93027 · doi:10.1080/00207179.2018.1557338
[30] S.Trip and C.Persis, Distributed optimal load frequency control with non‐passive dynamics, IEEE Trans. Control Netw Syst, 5 (3) (2017), 1232-1244. · Zbl 1515.93164
[31] D.Sharma and S.Mishra, Nonlinear disturbance observer based improved frequency and tie‐line power control of modern interconnected power systems, IET Gener. Transm. Distrib., 13 (16) (2019), 3564-3573.
[32] Radke, A. and Z.Gao, “A survey of state and disturbance observers for practitioners,” in: American Control Conference, Minneapolis, MN, USA, pp. 5183-5188 (2006).
[33] M.Liu et al., Fault estimation sliding mode observer with digital communication constraints, IEEE Trans. Autom. Control, 63 (10) (2018), 3434-3441. · Zbl 1423.93419
[34] S.Li et al., Disturbance observer‐based control methods and applications, CRC Press, Boca Raton, 2014.
[35] D.Yao et al., Distributed sliding mode tracking control of second order nonlinear multiagent systems: An event triggered approach, IEEE T. Cybern., (2020), 1-11, https://doi.org/10.1109/TCYB.2019.2963087. · doi:10.1109/TCYB.2019.2963087
[36] Y.Shtessel et al., Sliding mode control and observation, Birkhäuser, New York, 2014, ISBN: 978‐0‐8176‐4893‐0.
[37] M.Liu et al., Sliding mode control of continuous time Markovian jump systems with digital data transmission, Automatica, 80 (2017), 200-209. · Zbl 1370.93074
[38] S. V.Gutierrez et al., A simplified version of adaptive super twisting control, Int. J. Robust Nonlinear Control, 29 (2019), 5704-5719, https://doi.org/10.1002/rnc.4681. · Zbl 1430.93116 · doi:10.1002/rnc.4681
[39] P.Kundur, Power system stability and control, McGraw‐Hill, New York, 1994.
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