CONSTRAINED DISCRETE PREDICTIVELY CONTROLLED DISTRIBUTED ENERGY STORAGE EVALUATION IN A MULTI-BUS SYSTEM, 114-121.

Hailiya Ahsan and Mairaj ud Din Mufti

References

  1. [1] L. Wang and D.-N. Truong, Stability enhancement of DFIG-based offshore wind farm fed to a multi-machine system usinga STATCOM, IEEE Transactions on Power Systems, 28(3),2013, 2882–2889.
  2. [2] F. Wei, D.M. Vilathgamuwa, and C. San Shing, Design ofmode switching scheme for low-voltage ride-through of doublyfed induction generators, IET Renewable Power Generation,9(2), 2014, 109–119.
  3. [3] X. Han, Z. Zhao, J. Li, and T. Ji, Economic evaluation forwind power generation–hybrid energy storage system based ongame theory, International Journal of Energy Research, 41(1),2017, 49–62.
  4. [4] N.S. Hasan, M.Y. Hassan, M.S. Majid, and H.A. Rahman,Review of storage schemes for wind energy systems, Renewableand Sustainable Energy Reviews, 21, 2013, 237–247.
  5. [5] M.H. Ali, B. Wu, and R.A. Dougal, An overview of SMESapplications in power and energy systems, IEEE Transactionson Sustainable Energy, 1(1), 2010, 38–47.
  6. [6] H. Silva-Saravia, H. Pulgar-Painemal, and J.M. Mauricio, Fly-wheel energy storage model, control and location for improvingstability: The Chilean case, IEEE Transactions on PowerSystems, 32(4), 2017, 3111–3119.
  7. [7] H. Ahsan and M.D. Mufti, Modeling and simulation of asuperconducting magnetic energy storage based multi-machinepower system for transient stability study, 2017 6th Int. Conf.on Computer Applications in Electrical Engineering-RecentAdvances (CERA), Roorkee, India, 2017, 347–352.
  8. [8] I. Kiaei and S. Lotfifard, Tube-based model predictive controlof energy storage systems for enhancing transient stability ofpower systems, IEEE Transactions on Smart Grid, 9(6), 2018,6438–6447.120
  9. [9] S. Iqbal, M. Mufti, S. Lone, and I. Mushtaq, Intelligentlycontrolled superconducting magnetic energy storage for im-proved load frequency control, International Journal of Power& Energy Systems, 29(4), 2009, 241.
  10. [10] S. Dechanupaprittha, K. Hongesombut, M. Watanabe,Y. Mitani, and I. Ngamroo, Stabilization of tie-line powerflow by robust SMES controller for interconnected powersystem with wind farms, IEEE Transactions on AppliedSuperconductivity, 17(2), 2007, 2365–2368.
  11. [11] H. Ahsan and M.D. Mufti, Distributed storage approach versussingular storage approach: A dynamic stability evaluation,International Journal of Power and Energy Systems, 39(1),2019, 1–8.
  12. [12] J. Cleary, M.L. Lazarewicz, L. Nelson, R. Rounds, andJ. Arsenault, Interconnection study: 5 MW of beacon powerflywheels on 23 kV line—Tyngsboro, MA, 2010 IEEE Conf. onInnovative Technologies for an Efficient and Reliable ElectricitySupply, Waltham, MA, 2010, 285–291.
  13. [13] H. Ahsan and M.D. Mufti, Dynamic performance improvementof a hybrid multimachine system using a flywheel energy storagesystem, Wind Engineering, 44(3), 2020, 239–252.
  14. [14] H. Ahsan and M. Mufti, Discrete predictive control of aflywheel energy storage for transient stability augmentation,International Journal of Power and Energy Systems, 39(4),2019, 1–7.
  15. [15] H. Ahsan and M.D. Mufti, Modeling and control of a generalizedenergy storage device for stabilizing frequency and voltageoscillations, 2019 9th Int. Conf. on Power and Energy Systems(ICPES), Perth, Australia, 2019, 1–6.
  16. [16] H. Ahsan and M. Mufti, Comprehensive power system stabilityimprovement with ROCOF controlled SMES, Electric PowerComponents and Systems, 48, 2020, 162–173.
  17. [17] C.L. Phillips and H.T. Nagle, Digital control system analysisand design (Englewood Cliffs, NJ: Prentice Hall Press, 2007).
  18. [18] B. Pal, Robust pole placement versus root-locus approach inthe context of damping interarea oscillations in power systems,IEE Proceedings-Generation, Transmission and Distribution,149(6), 2002, 739–745.
  19. [19] Y. Shirai, T. Nitta, and K. Shimoda, Measurement of thedamping coefficient of an electric power system by use ofa superconducting magnet energy storage system, ElectricalEngineering in Japan, 119(3), 1997, 40–48.
  20. [20] E.B. Muhando, T. Senjyu, A. Uehara, T. Funabashi, andC.-H. Kim, LQG design for megawatt-class WECS with DFIGbased on functional models’ fidelity prerequisites, IEEE Trans-actions on Energy Conversion, 24(4), 2009, 893–904.
  21. [21] H. Ahsan, Z. Salam, S.A. Lone et al., Modeling and simulationof an energy storage based multi-machine power system fortransient stability study, 2017 IEEE Conf. on Energy Conver-sion (CENCON), Kuala Lumpur, Malaysia, 2017, 78–83.
  22. [22] F. Milano, F. D¨orfler, G. Hug, D.J. Hill, and G. Verbiˇc,Foundations and challenges of low-inertia systems, 2018 PowerSystems Computation Conf. (PSCC), Dublin, Ireland, 2018,1–25.
  23. [23] H. Ahsan and M.D. Mufti, Modelling and stability investi-gations of an aggregate wind farm-fed multi-machine system,Wind Engineering, 44(6), 2020, 596–609.
  24. [24] H. Ahsan and M. Mufti, Systematic development and applica-tion of a fuzzy logic equipped generic energy storage systemfor dynamic stability reinforcement, International Journal ofEnergy Research, 44(11), 2020, 8974–8987.
  25. [25] H. Ahsan and M.D. Mufti, Sweeping power system stabilizationwith a parametric fuzzy predictive control of a generalizedenergy storage device, IET Generation Transmission andDistribution, 2020.

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