Advertisement

Non-critical Demands Managed Load Frequency Stabilization of Dish-Stirling-Biodiesel Based Islanded Microgrid System Using FF Optimized Controller

  • Abdul LatifEmail author
  • Dulal Chandra Das
  • Kalpajyoti Biswas
  • Kundan Kumar
  • Raja Kumar
  • Shahid Injamul Hussain
Conference paper
  • 73 Downloads
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 12)

Abstract

The frequency stability of microgrid towards its reference value is very much important to provide uninterrupted quality power supply. This paper describes the use of demand side management particularly, direct control of controllable loads along with generation control to stabilize system frequency of an islanded microgrid consisting of dish-sterling solar Thermal system (DSTS), and biodiesel engine generator (BDEG) as the electricity generating sources where plug-in hybrid electric vehicle (PHEV), heat pump (HP), refrigerator (REFG) as controllable loads and a non-controllable load. Direct load control scheme for demand side management is analyzed. PI/PID controllers are used for demand response control and generation control. Particle swarm optimization (PSO) and firefly algorithm (FF) are used to optimize the controller’s parameters. The islanded microgrid is simulated for three different case studies and compares their system dynamics under PSO and FF based controller.

Keywords

Frequency control Demand response controller Biodiesel engine generator (BDEG) Firefly algorithm (FF) 

References

  1. 1.
    Chriostopher, B.: Dynamic demand balancing using dsm techniques in a grid connected hybrid system. Int. J. Renew. Energy Res. 4(4), 1031–1041 (2014)Google Scholar
  2. 2.
    Markovic U.: Fast Demand Responses with Cooling Devices (2014)Google Scholar
  3. 3.
    Xing, L., Wang, J., Dooner, M., Clarke, J.: Overview of current development in electrical energy storage technologies and the application potential in power system operation. Appl. Energy 137, 511–536 (2015)CrossRefGoogle Scholar
  4. 4.
    Arani, A.A.K.B., Gharehpetian, G.B., Zaker, B.: Frequency improvement in Islanded microgrid by using battery energy storage system considering dynamic loads. In: 2nd International Conference on Applied Researches in Electrical, Mechanical and Mechatronics Engineering, pp. 1–8 (2015)Google Scholar
  5. 5.
    Wu, D., Tang, F., Dragicevic, T., Vasquez, J.C., Guerrero, J.M.: Autonomous active power control for Islanded AC microgrids with Photovoltaic generation and energy storage system. IEEE Trans. Energy Convers. 29(4), 882–892 (2014)CrossRefGoogle Scholar
  6. 6.
    Bevrani, H.: Robust Power System Control. Springer, New York (2009)CrossRefGoogle Scholar
  7. 7.
    Das, D.C., Sinha, N., Roy, A.K.: Small signal stability analysis of dish-Stirling solar thermal based autonomous hybrid energy system. Int. J. Electr. Power Energy Syst. 63, 485–498 (2014)CrossRefGoogle Scholar
  8. 8.
    Das, D.C., Sinha, N., Roy, A.K.: Automatic generation control of an organic rankine cycle solar-thermal/wind-diesel hybrid energy system. Enegy. Technol. 2(8), 721–731 (2014)Google Scholar
  9. 9.
    Latif, A., Pramanik, A., Das, D.C., Hussain, I., Ranjan, S.: Plug in hybrid vehicle-wind-diesel autonomous hybrid power system: frequency control using FA and CSA optimized controller. Int. J. Syst. Assur. Eng. Manag. 9(5), 1147–1158 (2018)CrossRefGoogle Scholar
  10. 10.
    Hussain, I., Ranjan, S., Das, D.C., Sinha, N.: Performance analysis of flower pollination algorithm optimized PID controller for Wind-PV-SMES-BESS-Diesel autonomous hybrid power system. Int. J. Renew. Energy Res. 7(2), 643–651 (2017)Google Scholar
  11. 11.
    Latif, A., Das, D.C., Ranjan, S., Barik, A.K.: Comparative performance evaluation of WCA-optimised non-integer controller employed with WPG-DSPG-PHEV based isolated two-area interconnected microgrid system. IET Renew. Power Gener. 13(5), 725–736 (2019)CrossRefGoogle Scholar
  12. 12.
    Barik, A., Das, D.C.: Expeditious frequency control of solar photobiotic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm. IET Renew. Power Gener. 12(14), 1659–1667 (2018)CrossRefGoogle Scholar
  13. 13.
    Gandomi, A.H., Yang, X.S., Talatahari, A., Alavi, H.: Firefly algorithm with chaos. Commun. Nonlinear Sci. Numer. Simul. 18(1), 89–98 (2013)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Abdul Latif
    • 1
    Email author
  • Dulal Chandra Das
    • 1
  • Kalpajyoti Biswas
    • 1
  • Kundan Kumar
    • 1
  • Raja Kumar
    • 1
  • Shahid Injamul Hussain
    • 1
  1. 1.National Institute of Technology SilcharSilcharIndia

Personalised recommendations