Advertisement

Frequency Regulation in an Islanded Microgrid with Optimal Fractional Order PID Controller

  • Narendra Kumar Jena
  • Subhadra Sahoo
  • Amar Bijaya Nanda
  • Binod Kumar Sahu
  • Kanungo B. Mohanty
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 109)

Abstract

The aim of this paper is to address the load frequency control (LFC) in an isolated ac microgrid endorsing a fractional order PID controller. This microgrid comprises of several distributed generators (DGs) along with energy-storing elements such as photovoltaic panel (PV), wind turbine generator (WTG), diesel generator, fuel cell (FC), microturbine generator (MTG), flywheel (FH) storage unit, and battery energy storage (BES) unit. Due to the intermittent property of natural sources, e.g., fluctuation of wind speed, variation of irradiance, active power fluctuates, by which the frequency in the AC microgrid fluctuates. Besides this, low inertia of MTG and diesel generator, and no inertia of energy-storing element cause the frequency fluctuation in the microgrid in the wake of capricious load demand. So a robust secondary controller is quintessential. In this recommended model, a fractional PID controller is designed by applying symbiotic organisms search (SOS) computational technique. To validate the performance of FOPID, its result is compared with PID controller. Further, the LFC of the system is investigated by enforcing different combinations of chaotic load perturbation, wind power alternation, and solar power variation which confers the robustness of the controller.

Keywords

Load frequency control Microgrid Fractional order PID controller SOS algorithm 

References

  1. 1.
    Yang J, Zeng Z, Tang Y, Yan J, He H, Wu Y (2015) Load frequency control in isolated micro-grids with electrical vehicles based on multivariable generalized predictive theory. Energies 8(3):2145–2164CrossRefGoogle Scholar
  2. 2.
    Bevrani H, Habibi F, Babahajyani P, Watanabe M, Mitani Y (2012) Intelligent frequency control in an ac microgrid: online PSO based fuzzy tuning approach. IEEE Trans Smart Grid 3(4):1935–1944CrossRefGoogle Scholar
  3. 3.
    Zheng S, Tang X, Song B, Lu S, Ye B (2013) Stable adaptive PI control for permanent magnet synchronous motor drive based on improved JITL technique. ISA Trans 52(4):539–549CrossRefGoogle Scholar
  4. 4.
    Li X, Song YJ, Han SB (2008) Frequency control in micro-grid power system combined with electrolyzer system and fuzzy PI controller. J Power Sources 180(1):468–475CrossRefGoogle Scholar
  5. 5.
    Engin Y (2014) Interval type-2 fuzzy PID load frequency controller using big bang-big crunch optimization. Appl Soft Comput 15:100–112CrossRefGoogle Scholar
  6. 6.
    Khooban MH, Niknam T, Blaabjerg F, Davari P, Dragicevic T (2016) A robust adaptive load frequency control for micro-grids. ISA Trans 65:220–229CrossRefGoogle Scholar
  7. 7.
    Sahu PC, Mishra S, Prusty RC, Panda S (2018) Improved-salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid. Sustain Energy Grids Netw 16:380–392CrossRefGoogle Scholar
  8. 8.
    Singh VP, Mohanty SR, Kishor N, Ray PK (2013) Robust H-infinity load frequency control in hybrid distributed generation system. Int J Elect Power Energy Syst 46:294–305CrossRefGoogle Scholar
  9. 9.
    Bevrani H, Feizi MR, Ataee S (2015) Robust frequency control in an islanded microgrid: H, and μ-synthesis approaches. IEEE Trans Smart Grid 7(2):706–717Google Scholar
  10. 10.
    Khadanga RK, Padhy S, Panda S, Kumar A (2018) Design and analysis of tilt integral derivative controller for frequency control in an islanded microgrid: a novel hybrid dragonfly and pattern search algorithm approach. Arab J Sci Eng 43(6):3103–3114CrossRefGoogle Scholar
  11. 11.
    Kerdphol T, Rahman FS, Watanabe M, Mitani Y, Turschner D, Beck HP (2019) Enhanced virtual inertia control based on derivative technique to emulate simultaneous inertia and damping properties for microgrid frequency regulation. IEEE Access 7:14422–14433CrossRefGoogle Scholar
  12. 12.
    Barik AK, Das DC (2018) Expeditious frequency control of solar photovoltaic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm. IET Renew Power Gener 12(14):1659–1667CrossRefGoogle Scholar
  13. 13.
    Podlubny I (1999) Fractional-order systems and PI/sup/spl/lambda//D/sup/spl/mu//-controllers. IEEE Trans Autom Control 44(1):208–214MathSciNetCrossRefGoogle Scholar
  14. 14.
    Min-Yuan C, Prayogo D (2014) Symbiotic organisms search: a new metaheuristic optimization algorithm. Comput Struct 139:98–112CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Narendra Kumar Jena
    • 1
  • Subhadra Sahoo
    • 1
  • Amar Bijaya Nanda
    • 1
  • Binod Kumar Sahu
    • 1
  • Kanungo B. Mohanty
    • 2
  1. 1.Department of Electrical EngineeringSiksha ‘O’ Anusandhan Deemed to be UniversityBhubaneswarIndia
  2. 2.Department of Electrical EngineeringNIT, RourkelaRourkelaIndia

Personalised recommendations