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Robust PI control of smart controllable load for frequency stabilization of microgrid power system

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  • Ali Nandar, Cuk Supriyadi

Abstract

The intermittent wind power in a stand-alone microgrid power system may cause a serious problem of frequency fluctuation. Energy storage (ES) such as a battery, super capacitor, superconducting magnetic energy storage (SMES) etc., can be used to reduce the frequency fluctuation. However, ES is extremely expensive especially for developing countries. They still prefer to minimize the use of battery or apply cheaper technology to suppress the frequency oscillation such as controllable load. This paper proposes the design of robust PI controllable load to stabilize frequency fluctuation in a remote microgrid power system. The proposed controller is a conventional first-order PI controller. To guarantee the robustness of the proposed PI controller, an inverse additive perturbation is formulated as an optimization problem and a genetic algorithm (GA) is employed to tune and optimize the proposed PI control parameters. Simulation studies have been done to verify the performance and robustness of the proposed robust PI controllable load on remote hybrid wind-diesel power system against various disturbances and system uncertainties.

Suggested Citation

  • Ali Nandar, Cuk Supriyadi, 2013. "Robust PI control of smart controllable load for frequency stabilization of microgrid power system," Renewable Energy, Elsevier, vol. 56(C), pages 16-23.
    • Handle: RePEc:eee:renene:v:56:y:2013:i:c:p:16-23
    DOI: 10.1016/j.renene.2012.10.032
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    1. Bhatti, T.S. & Al-Ademi, A.A.F. & Bansal, N.K., 1997. "Load-frequency control of isolated wind-diesel-microhydro hybrid power systems (WDMHPS)," Energy, Elsevier, vol. 22(5), pages 461-470.
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    Cited by:

    1. Alhassan H. Alattar & S. I. Selem & Hamid M. B. Metwally & Ahmed Ibrahim & Raef Aboelsaud & Mohamed A. Tolba & Ali M. El-Rifaie, 2019. "Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm," Energies, MDPI, vol. 12(16), pages 1-23, August.
    2. Sudhanshu Ranjan & D. C. Das & A. Latif & N. Sinha, 2021. "Electric vehicles to renewable-three unequal areas-hybrid microgrid to contain system frequency using mine blast algorithm based control strategy," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 961-975, October.
    3. Mohammed Elsayed Lotfy & Tomonobu Senjyu & Mohammed Abdel-Fattah Farahat & Amal Farouq Abdel-Gawad & Hidehito Matayoshi, 2017. "A Polar Fuzzy Control Scheme for Hybrid Power System Using Vehicle-To-Grid Technique," Energies, MDPI, vol. 10(8), pages 1-25, July.
    4. Pruski, Piotr & Paszek, Stefan, 2018. "Calculations of power system electromechanical eigenvalues based on analysis of instantaneous power waveforms at different disturbances," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 104-114.
    5. Maen Z. Kreishan & Ahmed F. Zobaa, 2021. "Optimal Allocation and Operation of Droop-Controlled Islanded Microgrids: A Review," Energies, MDPI, vol. 14(15), pages 1-45, July.
    6. Touqeer Ahmed Jumani & Mohd Wazir Mustafa & Nawaf N. Hamadneh & Samer H. Atawneh & Madihah Md. Rasid & Nayyar Hussain Mirjat & Muhammad Akram Bhayo & Ilyas Khan, 2020. "Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids," Energies, MDPI, vol. 13(16), pages 1-22, August.
    7. Paszek, Stefan & Nocoń, Adrian, 2015. "Parameter polyoptimization of PSS2A power system stabilizers operating in a multi-machine power system including the uncertainty of model parameters," Applied Mathematics and Computation, Elsevier, vol. 267(C), pages 750-757.
    8. Obara, Shin’ya, 2015. "Dynamic-characteristics analysis of an independent microgrid consisting of a SOFC triple combined cycle power generation system and large-scale photovoltaics," Applied Energy, Elsevier, vol. 141(C), pages 19-31.
    9. Milad Shojaee & Fatemeh Mohammadi Shakiba & S. Mohsen Azizi, 2022. "Decentralized Model-Predictive Control of a Coupled Wind Turbine and Diesel Engine Generator System," Energies, MDPI, vol. 15(9), pages 1-13, May.
    10. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    11. Hassan Haes Alhelou & Mohamad-Esmail Hamedani-Golshan & Reza Zamani & Ehsan Heydarian-Forushani & Pierluigi Siano, 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(10), pages 1-35, September.
    12. Chettibi, N. & Mellit, A., 2018. "Intelligent control strategy for a grid connected PV/SOFC/BESS energy generation system," Energy, Elsevier, vol. 147(C), pages 239-262.
    13. Sudhanshu Ranjan & Smriti Jaiswal & Abdul Latif & Dulal Chandra Das & Nidul Sinha & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies," Energies, MDPI, vol. 14(24), pages 1-20, December.

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