IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET184852                                                     


Application of PID Controller for Load Frequency Control of a Hybrid Power System

Authors(2):

Jag Pravesh, Pardeep Nain
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
In this paper, the Load Frequency Control issue in a Hybrid Power System (HPS) by implementing a novel Flower Pollination Algorithm (FPA) based Proportional-Integral-Derivative (PID) controller. LFC aims at constraining the system frequency and tie-line power deviations within prescribed limits thereby maintaining the system reliability and stability. An HPS consists of a Micro-Grid (MG) connected to the conventional power grid. An FPA based PID controller has been proposed to regulate the frequency and tie-line power dynamics. To demonstrate the effectiveness of the proposed controller its performance has been compared with the PI and I controllers. Simulation has been carried out using the MATLAB and SIMULINK environment. The simulation results clearly reveal the potential of the proposed controller over the other controllers. Also, the proposed controller has been tested subject to a Random Load Perturbation (RLP) and its simulation results when compared to the PI and I controllers are found to be superior.

Jag Pravesh, Pardeep Nain

Hybrid power system model, Load frequency control, Renewable energy sources, Flower Pollination Algorithm

  1. Doolla S, Bahtti TS. Automatic generation control of an isolated small-hydro power plant. Electr Power Syst Res 2006;76(1):889–96.
  2. Banerjee A, Mukherjee V, Ghoshal SP. Intelligent fuzzy-based reactive power compensation of an isolated hybrid power system. Int J Electr Power Energy Syst 2014;57(1):164–77.
  3. Singh B, Mukherjee V, Tiwari P. A survey on impact assessment of DG and FACTS controllers in power system. Renew Sust Energy Rev 2015;42 (1):846–82.
  4. El-Khattam W, Salama MMA. Distributed generation technologies, definitions and benefits. Electr Power Syst Res 2004;71(1):119–28.
  5. Zhao JH, Foster J, Dong ZY, Wong KP. Flexible transmission network planning considering distributed generation impacts. IEEE Trans Power Syst 2011;26 (3):1434–43.
  6. Aghamohammadi MR, Abdolahinia H. A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded microgrid. Int J Electr Power Energy Syst 2014;54(1):325–33.
  7. Barsali S, Ceraolo M, Giglioli R, Poli D. Storage applications for smartgrids. Electr Power Syst Res 2015;120(1):109–17.
  8. Chatterjee A, Ghoshal SP, Mukherjee V. Artificial bee colony algorithm for transient performance augmentation of grid connected distributed generation. In: Proc international conference on swarm evolutionary memetic computation, vol. 6466; 2010. p. 559–66.
  9. Hien NC, Mithulananthan N, Bansal RC. Location and sizing of distribution generation units for loadability enhancement in primary feeder. IEEE Syst J 2013;7(4):797–806.
  10. Lopes JA Pecas, Hatziargyriou N, Mutale J, Djapic P, Jenkins N. Integrating distributed generations into electric power system: a review of drivers, challenges and opportunities. Electr Power Syst Res 2007;77(1):1189–203.
  11. Sebastian R, Pena-Alzola R. Control and simulation of a flywheel energy storage for a wind diesel power system. Int J Electr Power Energy Syst 2015;64 (1):1049–56.
  12. Shankar G, Mukherjee V. Load-following performance analysis of a microturbine of islanded and grid connected operation. Int J Electr Power Energy Syst 2014;55(1):704–13.
  13. Hatziargyriou N, Asano H, Iravani R, Marnay C. Microgrids. IEEE Power Energy Mag 2007;5(4):78–94.
  14. Lee D, Wang L. Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system – Part I: Timedomain simulations. IEEE Trans Energy Convers 2008;23(1):311–20.
  15. Das DC, Roy AK, Sinha N. GA based frequency controller for solar thermal diesel- wind hybrid energy generation/energy storage system. Int J Electr Power Energy Syst 2012;43(1):262–79.
  16. Wang L, Lee DJ, Lee WJ, Chen Z. Analysis of a novel autonomous marine hybrid power generation/energy storage system with a high-voltage direct current link. J Power Sources 2008;185(1):1284–92.
  17. Senjyu T, Nakaji T, Uezato K, Funabashi T. A hybrid power system using alternative energy facilities in isolated island. IEEE Trans Energy Convers 2005;20(2):406–14.
  18. Kamwa I. Dynamic modelling and robust regulation of a no-storage wind–diesel hybrid power system. Electr Power Syst Res 1990;18(3):219–33.
  19. Gampa SR, Das D. Real power and frequency control of a small isolated power system. Int J Electr Power Energy Syst 2015;64(1):221–32.
  20. Gao L, Dougal RA, Liu S. Power enhancement of an actively controlled battery/utracapacitor hybrid. IEEE Trans Power Electron 2005;20(1):236–43.
  21. Aditya SK, Das D. Application of battery energy storage system to load frequency control of an isolated power system. Int J Energy Res 1999;23(3):247–58.
  22. Kottick D, Blau M, Edelstein D. Battery energy storage for frequency regulation in a island power system. IEEE Trans Energy Convers 1993;8(3):455–9.
  23. Ray PK, Mohanty SR, Kishor N. Small-signal analysis of autonomous hybrid distributed generation systems in presence of ultracapacitor and the tie-line operation. J Electr Eng 2010;61(4):205–14.
  24. Das DC, Roy AK, Sinha N. PSO optimized for wind–solar thermal-diesel hybrid energy generation system: a study. Int J Wisdom Based Comput 2011;1 (3):128–33.
  25. Al-Saedi W, Lachowicz SW, Habibi D, Bass O. Voltage and frequency regulation based DG unit in an autonomous microgrid operation using particle swarm optimization. Int J Electr Power Energy Syst 2013;53(1):742–51.
  26. Mukherjee V, Ghoshal SP. Application of capacitive energy storage for transient performance improvement of power system. Electr Power Syst Res 2009;79(2):282–94.
  27. Mukhtaruddin RNSR, Rahman HA, Hassan MY, Jamian JJ. Optimal hybrid renewable energy design in autonomous system using iterative-pareto-fuzzy technique. Int J Electr Power Energy Syst 2015;64(1):242–9.
  28. Yang XS. Flower pollination algorithms. Nature-inspired optimization algorithms; 2014. p. 155–73.

Publication Details

Published in : Volume 4 | Issue 8 | May-June - 2018
Date of Publication Print ISSN Online ISSN
2018-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
178-184 IJSRSET184852   Technoscience Academy

Cite This Article

Jag Pravesh, Pardeep Nain, "Application of PID Controller for Load Frequency Control of a Hybrid Power System", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.178-184, May-June-2018.
URL : http://ijsrset.com/IJSRSET184852.php