Design and Optimal Location of Power System Stabilizer in the Multi-Machine Power Network

References

• L. H. Hassan, M. Moghavvemi, H. A. F. Almurib, and K. M. Muttaqi, “A coordinated design of PSSs and UPFC-based stabilizer using genetic algorithm,” IEEE Trans. Ind. Appl., Vol. 50, no. 5, pp. 2957–66, 2014. doi:10.1109/TIA.2014.2305797.
   Web of Science ®Google Scholar
• H. Wang, and W. Du. Analysis and damping control of power system low-frequency oscillations, 2016. [Online]. Available: http://link.springer.com/10 .1007978-1-4899-7696-3.
   Google Scholar
• P. Kunder. Power system stability and control. New York, NY: McGraw-Hill, 1994.
   Google Scholar
• F. P. Demello, and C. Concordia, “Concepts of synchronous machine stability as affected by excitation control,” IEEE Trans. Power Appar. Syst., Vol. PAS-88, no. 4, pp. 316–29, 1969. doi:10.1109/TPAS.1969.292452.
   Web of Science ®Google Scholar
• W. G. Heffron, and R. A. Phillips, “Effect of a modern amplidyne voltage regulator on underexcited operation of large turbine generators,” Trans. Am. Inst. Electr. Eng. Part III Power Appar. Syst., Vol. 71, no. 1, pp. 692–97, 1952. doi:10.1109/AIEEPAS.1952.4498530.
   Google Scholar
• W. Du, Q. Fu, and H. Wang, “Damping torque analysis of DC voltage stability of an MTDC network for the wind power delivery,” IEEE Trans. Power Deliv., Vol. 35, no. 1, pp. 324–38, 2020. doi:10.1109/TPWRD.2019.2933641.
   Web of Science ®Google Scholar
• T. Zhou, Z. Chen, B. Ren, S. Bu, and P. Wang, “Damping torque analysis of VSC-HVDC supplementary damping controller for small-signal stability,” IEEE Access., Vol. 8, pp. 202696–706, 2020. doi:10.1109/access.2020.3036495.
   Google Scholar
• J. Bi, H. Sun, S. Xu, R. Song, B. Zhao, and Q. Guo, “Mode-based damping torque analysis method in power system low-frequency oscillations,” CSEE J. Power Energy Syst., Vol. PP, no. 99, 2019. doi:10.17775/CSEEJPES.2020.00990.
   Google Scholar
• A. Darvish Falehi, “Robust and intelligent type-2 fuzzy fractional-order controller-based automatic generation control to enhance the damping performance of multi-machine power systems,” IETE J. Res., Vol. 2063, 2020. doi:10.1080/03772063.2020.1719908.
   Google Scholar
• L. Shi, K. Y. Lee, and F. Wu, “Robust ESS-based stabilizer design for damping inter-area oscillations in multimachine power systems,” IEEE Trans. Power Syst., Vol. 31, no. 2, pp. 1395–406, 2016. doi:10.1109/TPWRS.2015.2422797.
   Web of Science ®Google Scholar
• W. Du, J. Bi, J. Cao, and H. F. Wang, “A method to examine the impact of grid connection of the DFIGs on power system electromechanical oscillation modes,” IEEE Trans. Power Syst., Vol. 31, no. 5, pp. 3775–84, 2016. doi:10.1109/TPWRS.2015.2494082.
   Web of Science ®Google Scholar
• N. Azizi, H. M. CheshmehBeigi, and K. Rouzbehi, “Optimal placement of direct current power system stabiliser (DC-PSS) in multi-terminal HVDC grids,” IET Gener. Transm. Distrib., Vol. 14, no. 12, pp. 2315–22, 2020. doi:10.1049/iet-gtd.2019.1224.
   Web of Science ®Google Scholar
• N. Kulkarni, S. Kamalasadan, and S. Ghosh, “An integrated method for optimal placement and tuning of a power system stabilizer based on full controllability index and generator participation,” IEEE Trans. Ind. Appl., Vol. 51, no. 5, pp. 4201–11, 2015. doi:10.1109/TIA.2015.2424404.
   Web of Science ®Google Scholar
• I. Abdulrahman, “MATLAB-based programs for power system dynamic analysis,” IEEE Open Access J. Power Energy, Vol. 7, no. January, pp. 59–69, 2020. doi:10.1109/oajpe.2019.2954205.
   Google Scholar
• T. Surinkaew, and I. Ngamroo, “Hierarchical co-ordinated wide area and local controls of DFIG wind turbine and PSS for robust power oscillation damping,” IEEE Trans. Sustain. Energy, Vol. 7, no. 3, pp. 943–55, 2016. doi:10.1109/TSTE.2015.2508558.
   Web of Science ®Google Scholar
• F. P. de Mello, P. J. Nolan, T. F. Laskowski, and J. M. Undrill, “Coordinated application of stabilizers in multimachine power Systems,” IEEE Trans. Power Appar. Syst., Vol. 75, no. 3, pp. 892–901, 1979.
   Google Scholar
• A. D. Falehi, “Optimal design of fractional order ANFIS-PSS based on NSGA-II aimed at mitigation of DG-connection transient impacts,” Proc. Rom. Acad. Ser. A – Math. Phys. Tech. Sci. Inf. Sci., Vol. 19, no. 3, pp. 473–81, 2018.
   Google Scholar
• W. Du, W. Dong, Y. Wang, and H. Wang, “A method to design power system stabilizers in a multi-machine power system based on single-machine infinite-bus system model,” IEEE Trans. Power Syst., Vol. 36, no. 4, pp. 3475–86, 2020. doi:10.1109/TPWRS.2020.3041037.
   Web of Science ®Google Scholar
• A. Yaghooti, M. Oloomi Buygi, and M. H. M. Shanechi, “Designing coordinated power system stabilizers: A reference model based controller design,” IEEE Trans. Power Syst., Vol. 31, no. 4, pp. 2914–24, 2016. doi:10.1109/TPWRS.2015.2466677.
   Web of Science ®Google Scholar
• M. J. Gibbard, and D. J. Vowles, “Reconciliation of methods of compensation for PSSs in multimachine systems,” IEEE Trans. Power Syst., Vol. 19, no. 1, pp. 463–72, 2004. doi:10.1109/TPWRS.2003.820689.
   Web of Science ®Google Scholar
• C. Liu, R. Yokoyama, K. Koyanagi, and K. Y. Lee, “PSS design for damping of inter-area power oscillations by coherency-based equivalent model,” Int. J. Electr. Power Energy Syst., Vol. 26, no. 7, pp. 535–44, 2004. doi:10.1016/j.ijepes.2004.01.007.
   Web of Science ®Google Scholar
• A. Darvish Falehi, “Optimal robust disturbance observer based sliding mode controller using multi-objective grasshopper optimization algorithm to enhance power system stability,” J. Ambient Intell. Humaniz. Comput., Vol. 11, no. 11, pp. 5045–63, 2020. doi:10.1007/s12652-020-01811-8.
   Web of Science ®Google Scholar
• H. F. Wang, and F. J. Swift, “Multiple stabilizer setting in multi-machine power systems by the phase compensation method,” Int. J. Electr. Power Energy Syst., Vol. 20, no. 4, pp. 241–46, 1998.
   Web of Science ®Google Scholar
• W. Du, H. F. Wang, J. Cao, H. F. Li, and L. Xiao, “Application of the phase compensation method for the design of a DC/AC converter-based stabilizer to damp inter-area power oscillations,” IEEE Trans. Power Syst., Vol. 27, no. 3, pp. 1302–10, 2012. doi:10.1109/TPWRS.2011.2173218.
   Web of Science ®Google Scholar
• A. Darvish Falehi, “Optimal fractional order BELBIC to ameliorate small signal stability of interconnected hybrid power system,” Environ. Prog. Sustain. Energy, Vol. 38, no. 5, pp. 1–18, 2019. doi:10.1002/ep.13208.
   Web of Science ®Google Scholar
• V. V. G. Krishnan, S. C. Srivastava, and S. Chakrabarti, “A robust decentralized wide area damping controller for wind generators and facts controllers considering load model uncertainties,” IEEE Trans. Smart Grid, Vol. 9, no. 1, pp. 360–72, 2018. doi:10.1109/TSG.2016.2552233.
   Web of Science ®Google Scholar
• W. Yao, L. Jiang, J. Wen, Q. Wu, and S. Cheng, “Wide-area damping controller for power system interarea oscillations: A networked predictive control approach,” IEEE Trans. Control Syst. Technol., Vol. 23, no. 1, pp. 27–36, 2015. doi:10.1109/TCST.2014.2311852.
   Web of Science ®Google Scholar
• M. Li, and Y. Chen, “A wide-area dynamic damping controller based on robust H∞ control for wide-area power systems with random delay and packet dropout,” IEEE Trans. Power Syst., Vol. 33, no. 4, pp. 4026–37, 2018. doi:10.1109/TPWRS.2017.2782792.
   Web of Science ®Google Scholar
• A. Prakash, K. Kumar, and S. K. Parida, “Energy capacitor system based wide-area damping controller for multiple inter-area modes,” IEEE Trans. Ind. Appl., Vol. 58, no. 2, pp. 1543–53, 2022. doi:10.1109/TIA.2022.3140713.
   Web of Science ®Google Scholar
• W. Yao, L. Jiang, J. Wen, Q. H. Wu, and S. Cheng, “Wide-area damping controller of facts devices for inter-area oscillations considering communication time delays,” IEEE Trans. Power Syst., Vol. 29, no. 1, pp. 318–29, 2014. doi:10.1109/TPWRS.2013.2280216.
   Web of Science ®Google Scholar
• M. E. C. Bento, and R. A. Ramos, “A method based on linear matrix inequalities to design a wide-area damping controller resilient to permanent communication failures,” IEEE Syst. J., Vol. 15, no. 3, pp. 3832–40, 2020. doi:10.1109/JSYST.2020.3029693.
   Web of Science ®Google Scholar
• A. Prakash, P. Singh, K. Kumar, and S. K. Parida, “Design of a reduced-order WADC for wind turbine system-integrated power system,” IEEE Trans. Ind. Appl., Vol. 58, no. 3, pp. 3250–60, 2022. doi:10.1109/TIA.2022.3159319.
   Web of Science ®Google Scholar
• P. W. Sauer, M. A. Pai, and J. H. Chow. Power system dynamics and stability: with synchrophasor measurement and power system toolbox, 2nd ed., 2017. doi:10.1002/9781119355755.
   Google Scholar
• Z. Salehi, P. Karimaghaee, and M. Khooban, “Reduction method: conic positive real balanced truncation method,” IEEE Trans. Syst. Man Cybern. Syst., Vol. 52, no. 5, pp. 1–9, 2021.
   Web of Science ®Google Scholar
• A. C. Zolotas, B. Chaudhuri, S. Member, and I. M. Jaimoukha, “Brief papers,” IEEE Trans. Control Syst. Technol., Vol. 15, no. 1, pp. 151–60, 2007.
   Web of Science ®Google Scholar
• H. Geng, X. Xi, L. Liu, G. Yang, and J. Ma, “Hybrid modulated active damping control for DFIG-based wind farm participating in frequency response,” IEEE Trans. Energy Convers., Vol. 32, no. 3, pp. 1220–30, 2017. doi:10.1109/TEC.2017.2667888.
   Web of Science ®Google Scholar
• F. Milano, “An open source power system analysis toolbox,” IEEE Power Eng. Soc. Gen. Meet. PES, Vol. 20, no. 3, pp. 1199–206, 2006. doi:10.1109/pes.2006.1708946.
   Google Scholar