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Synergy of robust adaptive emulated- controller and enhanced mud layers optimization for microgrid dynamics improvement

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  • Othman, Ahmed M.

Abstract

The paper presents an enhanced scheme to control the dynamic response that can be delivered by distributed generation (DG) and renewable energy resource (RER) to be more reliable and stable than other electric systems. Robust Adaptive Emulated- Controller (RAEC) has been included to control and tune the adoption of controller parameters across a broad range of operating conditions. Some existing challenges related to high loading profiles that will be handled by new performance features. The objective of paper is to propose robust adaptive emulated-controller that is incorporated with high-speed fluctuations and dynamic energy systems. That can achieve an integrated system to reflect the enhanced structure and operation of electric systems, in addition to, Enhanced Mud Layers (EML) optimization will be applied to control and optimize the performance parameters.

Suggested Citation

  • Othman, Ahmed M., 2022. "Synergy of robust adaptive emulated- controller and enhanced mud layers optimization for microgrid dynamics improvement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:rensus:v:166:y:2022:i:c:s1364032122004725
    DOI: 10.1016/j.rser.2022.112576
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    1. Leticia Cervantes & Oscar Castillo & Denisse Hidalgo & Ricardo Martinez-Soto, 2018. "Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers," Advances in Operations Research, Hindawi, vol. 2018, pages 1-13, June.
    2. Shan, Xiaobiao & Tian, Haigang & Chen, Danpeng & Xie, Tao, 2019. "A curved panel energy harvester for aeroelastic vibration," Applied Energy, Elsevier, vol. 249(C), pages 58-66.
    3. Guangqian, Du & Bekhrad, Kaveh & Azarikhah, Pouria & Maleki, Akbar, 2018. "A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems," Renewable Energy, Elsevier, vol. 122(C), pages 551-560.
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