The University of Trinidad and Tobago UTT, Trinidad and Tobago
* Corresponding author
The University of Trinidad and Tobago UTT, Trinidad and Tobago

Article Main Content

Because of the growing nonlinear and complexity nature of microgrid systems for example battery energy storage systems, wind-turbine fuel cell, photovoltaic, and micro hydro power plants (BESSs/FC/WT/PV/ Micro Hydro), load-frequency management has been a difficulty. The development of a load-frequency controller based on Proportional–Integral–Derivative (PID) for an autonomous microgrid (MG) with hydro, wind, and PV RES is shown in this article. The suggested LFC goal is to retain the frequency of the micro hydro power plant under variable load situations by controlling the sharing of output power constant generator between the dummy loads and consumer. Using an adaptive fuzzy logic controller to govern nearly the generating unit`s whole operation, the suggested control technique optimally chooses PID settings for each load value. The suggested fuzzy logic-based controller regulates the plant's frequency output despite fluctuating user loads and manages energy distribution by separating the micro network into separate departures connected in priority order. The suggested frequency controller uses a centralised LFC approach centred on a combination of smart load and Battery Energy Storage System to manage the MG frequency (BESS). It regulates MG frequency by providing active power balancing for a variety of events that such systems face in real-world settings, such as energy surplus generation and energy shortage. In Simulink/MATLAB, the suggested structure is simulated. The simulation results clearly demonstrate the proposed frequency controller's ability to dump extra power when the customer load varies while maintaining a consistent supply frequency.

References

  1. I. Sami, N. Ullah, S. M. Muyeen, K. Techato, M. S. Chowdhury and J. -S. Ro, “Control Methods for Standalone and Grid Connected Micro-Hydro Power Plants with Synthetic Inertia Frequency Support: A Comprehensive Review,” in IEEE Access, vol. 8, pp. 176313-176329, 2020, doi: 10.1109/ACCESS.2020.3026492.
     Google Scholar
  2. M. E. M. Ali, A. M. Kassem and H. F. A. Hamed, “Modeling and Control of a Mini Hybrid Hydro Matrix / Wind in Micro Grid Applications,” in IEEE Access, vol. 8, pp. 170843-170852, 2020, doi: 10.1109/ACCESS.2020.3022753.
     Google Scholar
  3. S. V. Kamble and S. M. Akolkar, “Load frequency control of micro hydro power plant using fuzzy logic controller,” 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), 2017, pp. 1783-1787, doi: 10.1109/ICPCSI.2017.8392021.
     Google Scholar
  4. K. Shahzad, A. R. Khan, M. S. Khalid and A. Qamar, “Voltage and Frequency Control of PV, Micro-hydro and Biomass Based Islanded Microgrid,” 2018 Clemson University Power Systems Conference (PSC), 2018, pp. 1-6, doi: 10.1109/PSC.2018.8664029.
     Google Scholar
  5. A.A. Zamani, E. Bijami, F. Sheikholeslam, B. Jafrasteh, “Optimal fuzzy load frequency controller with simultaneous auto-tuned membership functions and fuzzy control rules,” Turkish Journal of Electrical Engineering & Computer Sciences, vol. 22, no. 1, pp.66-86, 2014.
     Google Scholar
  6. J.L. Marquez, M.G. Molina, J.M. Pacas, “Dynamic modeling, simulation and control design of an advanced microhydro power plant for distributed generation applications,” International Journal of Hydrogen Energy, vol. 35, no. 11, pp. 5772-5777, 2010.
     Google Scholar
  7. I. Salhi, S. Doubabi, N. Essounbouli, A. Hamzaoui, “Application of multi-model control with fuzzy switching to a micro hydro-electrical power plant,” Renewable Energy, vol. 35, no. 9, pp. 2071-2079, 2010.
     Google Scholar
  8. M. Hanmandlu, H. Goyal, “Proposing a new advanced control technique for micro hydro power plants,” International Journal of Electrical Power & Energy Systems, vol. 20, no. 4,pp. 272-282, 2008.
     Google Scholar
  9. S. Doolla, T.S. Bhatti, R.C. Bansal, “Load frequency control of an isolated small hydro power plant using multi-pipe scheme,” Electric Power Components and Systems, vol. 39, no. 1, pp. 46-63, 2011.
     Google Scholar
  10. B. Singh, V. Rajagopal, “Neural-Network-Based integrated electronic load controller for isolated asynchronous generators in small hydro generation,” IEEE Transactions on Industrial Electronics, vol. 58, no. 9, pp. 4264-4274, 2011.
     Google Scholar
  11. L. Belhadji, S. Bacha, I. Munteanu, A. Rumeau, D. Roye, “Adaptive MPPT applied to variable-speed micro hydro power plant,” IEEE Transactions on Energy Conversion, vol. 28, no. 1, pp. 34-43, 2013.
     Google Scholar
  12. E. Özbay, M.T. Gençglu, “Load frequency control for small hydro power plants using adaptive fuzzy controller,” in Proceedings of IEEE 2010 International Conference on Systems, Man and Cybernetics, (Istanbul, Turkey), pp. 4217-4223, Oct. 2010.
     Google Scholar
  13. H. Mohamad, H. Mokhlis, A. Abu Bakar, H.W. Ping, “A review on islanding operation and control for distribution network connected with small hydro power plant,” Renewable and Sustainable Energy Reviews, vol. 15, no. 8, pp. 3952-3962, 2011.
     Google Scholar
  14. V.I. Utkin, Sliding Modes in Control and Optimization (2nd ed). Berlin, Germany: Springer-Verlag, 1992.
     Google Scholar
  15. M. Dybkowski, T. Orlowska-Kowalska, G. Tarchala, “Sensorless traction drive system with sliding mode and MRAS(CC) estimators using direct torque control,” Automatika, vol. 54, no. 3, pp. 329-336, 2013.
     Google Scholar
  16. D. Liu, M.G. Li, “Adaptive wavelet neural network backstepping sliding mode tracking control for PMSM drive system,” Automatika, vol. 55, no. 4, pp. 405-415, 2014.
     Google Scholar
  17. L. Cheng, Z. Hou, M. Tan, “A mean square consensus protocol for linear multi-agent systems with communication noises and fixed topologies,” IEEE Transactions on Automatic Control, vol. 59, no. 1, pp. 261–267, 2014.
     Google Scholar
  18. L. Cheng, Y.Wang, Z. Hou, M. Tan, Z. Cao, “Sampled-data based average consensus of second-order integral multiagent systems: switching topologies and communication noises,” Automatica, vol. 49, no. 5, pp. 1458–1464, 2013.
     Google Scholar
  19. A. Zargari, R. Hooshmand, M. Ataei, “A new control system design for a small hydro-power plant based on particle swarm optimization-fuzzy sliding mode controller with Kalman estimator,” Transactions of the Institute of Measurement and Control, vol.34, no. 4, pp. 388-400, 2012.
     Google Scholar
  20. D. Qian, J. Yi, X. Liu, “Design of reduced order sliding mode governor for hydro-turbines,” In Proceedings of 2011 American Control Conference, (San Francisco, CA), pp.5073-5078, June 29 -July 1 2011.
     Google Scholar
  21. X. Ding, A. Sinha, “Sliding mode/H1 control of a hydropower plant,” In Proceedings of 2011 American Control Conference, (San Francisco, CA), pp. 5201-5206, June 29 - July 1 2011.
     Google Scholar
  22. K. Vrdoljak, N. Peric, I. Petrovic, “Applying optimal sliding mode based load-frequency control in power systems with controllable hydro power plants,” Automatika, vol. 51, no. 1, pp. 3-18, 2010.
     Google Scholar
  23. K. Vrdoljak, N. Peric, I. Petrovic, “Sliding mode based load-frequency control in power systems,” Electric Power Systems Research, vol. 80, no. 5, pp. 514-527, 2010.
     Google Scholar
  24. R. Hooshmand, M. Ataei, A. Zargari, “A new fuzzy sliding mode controller for load frequency control of large hydropower plant using particle swarm optimization algorithm and Kalman estimator,” European Transactions on Electrical Power, vol. 22, no. 6, pp. 812-830, 2012.
     Google Scholar
  25. M.R. Rani, H. Selamat, H. Zamzuri and Z. Ibrahim, Multiobjective optimization for PID controller tuning using the global ranking genetic algorithm, Int J Innov Comput, Inf Control 8(1A) (2012), 269–284.
     Google Scholar
  26. S. Dormido, E. Pisoni and A. Visioli, Interactive tools for designing fractional-order PID controllers, Int J Innov Comput, Inf Control 8(7A) (2012), 4579–4590.
     Google Scholar
  27. V. Donde, M. A. Pai, and I. A. Hiskens, “Simulation and Optimization in an AGC System after Deregulation,” IEEE Transactions on Power Systems, vol. 16, pp. 481–489, Aug. 2001.
     Google Scholar
  28. M. Aldeen, and R. Sharma, “Robust Detection of Faults in Frequency Control Loops,” IEEE Transactions on Power Systems, vol. 22, no. 1, pp. 413–422, Feb. 2007.
     Google Scholar
  29. Y. Moon, H. Ryu, B. Choi, and H. Kook, “Improvement of System Damping by Using the Differential Feedback in the Load Frequency Control,” IEEE Power Engineering Society 1999 Winter Meeting, vol. 1, pp. 683–688, Feb. 1999.
     Google Scholar
  30. Y. Moon, H. Ryu, J. Lee, and S. Kim, “Power System Load Frequency Control Using Noise-Tolerable PID Feedback,” IEEE International Symposium on Industrial Electronics, vol. 3, pp. 1714–1718, Jun. 2001.
     Google Scholar
  31. Y. Moon, H. Ryu, B. Choi, and B. Cho, “Modified PID Load-Frequency Control with the Consideration of Valve Position Limits,” IEEE Power Engineering Society 1999 Winter Meeting, vol. 1, pp. 701–706, Feb. 1999.
     Google Scholar
  32. D. Rerkpreedapong, and A. Feliachi, “PI Gain Scheduler for Load Frequency Control Using Spline Techniques,” The 35th Southeastern Symposium on System Theory, pp. 259–263, Mar. 2003.
     Google Scholar
  33. M. Rahi, and A. Feliachi, “H∞ Robust Decentralized Controller for Nonlinear Power Systems,” The 30th Southeastern Symposium of System Theory, pp. 268–270, Mar. 1998.
     Google Scholar
  34. I. Ngamroo, Y. Mitani, and K. Tsuji, “Robust Load Frequency Control by Solid-State Phase Shifter Based on H∞ Control Design,” IEEE Power Engineering Society 1999 Winter Meeting, vol. 1, pp. 725–730, Feb. 1999.
     Google Scholar
  35. A. Bensenouci, and A. Ghany, “Mixed H∞/H2 with Pole-Placement Design of Robust LMI-Based Output Feedback Controllers for Multi-Area Load Frequency Control,” Proceedings of The International Conference on Computer as a Tool, pp. 1561–1566, Sep. 2007.
     Google Scholar
  36. D. Rerkpreedapong, and A. Feliachi, “Decentralized H∞ Load Frequency Control Using LMI Control Toolbox,” The 2003 International Symposium on Circuits and Systems, vol. 3, no. 25–28, pp. 411–414, May 2003.
     Google Scholar
  37. A. Paradkar, A. Davari, and A. Feliachi, “Disturbance Accommodation Control versus Conventional Control, in LFC of a Two Area Distribution System in a Deregulated Environment,” The 35th Southeastern Symposium on System Theory, pp. 98–102, Mar. 2003.
     Google Scholar
  38. Y. Moon, H. Ryu, B. Kim, and K. Song, “Optimal Tracking Approach to Load Frequency Control in Power Systems,” IEEE Power Engineering Society 2000 Winter Meeting, vol. 2, pp. 1371–1376, Jan. 2000.
     Google Scholar
  39. L. Kong, and L. Xiao, “A New Model Predictive Control Scheme-Based Load- Frequency Control,” Proceedings of IEEE International Conference on Control and Automation, pp. 2514–2518, Jun. 2007.
     Google Scholar
  40. B. Bakken, and O. Grande, “Automatic Generation Control in a Deregulated Power System,” IEEE Transactions on Power Systems, vol. 13, no. 4, pp. 1401–1406, Nov. 1998.
     Google Scholar
  41. Ibraheem, P. Kumar, and D. Kothari, “Recent Philosophies of Automatic Generation Control Strategies in Power Systems,” IEEE Transactions on Power Systems, vol. 20, no. 1, pp. 346–357, Feb. 2005.
     Google Scholar
  42. T. Hiyama, S. Koga, and Y. Yoshimuta, “Fuzzy Logic Based Multi-Functional Load Frequency Control,” IEEE Power Engineering Society 2000 Winter Meeting, vol. 2, pp. 921–926, Jan. 2000.
     Google Scholar
  43. K. Yukita, Y. Goto, K. Mizuno, T. Miyafuji, K. Ichiyanagi, and Y. Mizutani, “Study of Load Frequency Control using Fuzzy Theory by Combined Cycle Power Plant,” IEEE Power Engineering Society 2000 Winter Meeting, vol. 1, pp. 422–427, Jan. 2000.
     Google Scholar
  44. H. Mohamed, L. Hassan, M. Moghavvemi, and S. Yang, “Load Frequency Controller Design for Iraqi National Super Grid System Using Fuzzy Logic Controller,” SICE Annual Conference, pp. 227–232, Aug. 2008.
     Google Scholar
  45. D. Rerkpreedapong, A. Hasanovic, and A. Feliachi, “Robust Load Frequency Control Using Genetic Algorithms and Linear Matrix Inequalities,” IEEE Transactions on Power Systems, vol. 18, no. 2, pp. 855–861, May 2003.
     Google Scholar
  46. R.K. Sahu, S. Panda, G.T.C. Sekhar, A novel hybrid PSO-PS optimized fuzzy PI controller for AGC in multi area interconnected power systems, Int. J. Elect. Power Energy Syst. 64 (2015) 880–893.
     Google Scholar