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Frequency Control of an AC Microgrid with Fractional Controller

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Green Technology for Smart City and Society

Abstract

The objective of this paper puts forth the frequency regulation in the wake of load perturbation in a two-area microgrid in the presence of a classical fractional order controller. In this proposed model, various conventional and non-conventional sources are integrated. Sporadic nature of natural sources such as inconsistent wind speed, variant solar irradiance and variable active power injection creates problem in the frequency regulation of the ac microgrid. Other than this, low inertia of distributed generators (microturbine generator and diesel generator) or no inertia of energy storing elements invokes the stability problem against the perturbation of power injection or power demand. To overcome all these difficulties, proper and vigorous secondary controller is obligatory. Here, a fractional-order proportional-integral-derivative (FOPID) controller designed by symbiotic organisms search (SOS) algorithm is used. To approve the credibility of FOPID controller, its performance is contrasted with PID and type-2 fuzzy PID controller. Further, frequency regulation is introspected by injecting variable solar power, wind power and load which deliberate the robustness of the proposed controller.

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References

  1. Yang J, Zeng Z, Tang Y, Jun Y, He W, Yunliang H (2015) Load frequency control in isolated micro-grids with electrical vehicles based on multivariable generalized predictive theory. Energies 8(3):2145–2164

    Article  Google Scholar 

  2. Barik AK, Das D (2018) Expeditious frequency control of solar photovoltaic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm. IET Renew Power Generat 12(14):1659–1667

    Google Scholar 

  3. Xu Y et al (2018) Load frequency control of a novel renewable energy integrated micro-grid containing pumped hydropower energy storage. IEEE Access 6:29067–29077

    Google Scholar 

  4. Babaei M, Abazari A, Muyeen SM (2020). Coordination between demand response programming and learning-based FOPID controller for alleviation of frequency excursion of hybrid microgrid. Energies 13(2): 442

    Google Scholar 

  5. Jena, NK et al (2020) Frequency regulation in an islanded microgrid with optimal fractional order PID controller. In: Advances in intelligent computing and communication. Springer, Singapore, 447–457

    Google Scholar 

  6. Khadanga RK et al (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. Arabian J Sci Eng 43(6):3103–3114

    Google Scholar 

  7. Sahu PC, Prusty RC, Panda S (2020) Optimal design of a robust FO-Multistage controller for frequency awareness of an islanded AC Microgrid under i-SCA algorithm. Int J Ambient Energy Just-Accepted 1

    Google Scholar 

  8. Yu D et al (2019) Dynamic multi agent-based management and load frequency control of PV/Fuel cell/wind turbine/CHP in autonomous microgrid system. Energy 173:554–568

    Google Scholar 

  9. Sahu PC et al (2018) Improved-salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid. Sustain Energy Grids Netw 16:380–392

    Google Scholar 

  10. Khooban MH, Gheisarnejad M (2020) A novel deep reinforcement learning controller based type-II fuzzy system: frequency regulation in microgrids. IEEE Trans Emerging Topics Comput Intell

    Google Scholar 

  11. 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):706–717

    Google Scholar 

  12. 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. 46:294–305

    Article  Google Scholar 

  13. Banis F et al (2019) Load–frequency control in microgrids using target-adjusted MPC. IET Renew Power Gener 14(1):118–124

    Google Scholar 

  14. Nayak JR, Shaw B, Sahu BK (2020) Novel application of optimal fuzzy‐adaptive symbiotic organism search‐based two‐degree‐of‐freedom fuzzy proportional integral derivative controller for automatic generation control study. Int Trans Electri Energy Syst 30(5), e12349

    Google Scholar 

  15. Min-Yuan C, Prayogo D (2014) Symbiotic organisms search: a new metaheuristic optimization algorithm. Comput Struct 139:98–112

    Article  Google Scholar 

  16. Podlubny I (1999) Fractional-order systems and PI/sup/spl/lambda//D/sup/spl/mu//-controllers. IEEE Trans Autom Control 44(1):208–214

    Article  MathSciNet  Google Scholar 

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Correspondence to Binod Kumar Sahu .

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Jena, N.K., Sahoo, S., Naik, A.K., Sahu, B.K., Mohanty, K.B. (2021). Frequency Control of an AC Microgrid with Fractional Controller. In: Sharma, R., Mishra, M., Nayak, J., Naik, B., Pelusi, D. (eds) Green Technology for Smart City and Society. Lecture Notes in Networks and Systems, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-15-8218-9_24

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