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Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems

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  • Helbert Eduardo Espitia
  • Iván Machón-González
  • Hilario López-García
  • Guzmán Díaz

Abstract

Systems of distributed generation have shown to be a remarkable alternative to a rational use of energy. Nevertheless, the proper functioning of them still manifests a range of challenges, including both the adequate energy dispatch depending on the variability of consumption and the interaction between generators. This paper describes the implementation of an adaptive neurofuzzy system for voltage control, regarding the changes observed in the consumption within the distribution system. The proposed design employs two neurofuzzy systems, one for the plant dynamics identification and the other for control purposes. This focus optimizes the controller using the model achieved through the identification of the plant, whose changes are produced by charge variation; consequently, this process is adaptively performed. The results show the performance of the adaptive neurofuzzy system via statistical analysis.

Suggested Citation

  • Helbert Eduardo Espitia & Iván Machón-González & Hilario López-García & Guzmán Díaz, 2019. "Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems," Complexity, Hindawi, vol. 2019, pages 1-16, March.
    • Handle: RePEc:hin:complx:1610898
    DOI: 10.1155/2019/1610898
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    References listed on IDEAS

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    3. Guolian Hou & Linjuan Gong & Xiaoyan Dai & Mengyi Wang & Congzhi Huang, 2018. "A Novel Fuzzy Model Predictive Control of a Gas Turbine in the Combined Cycle Unit," Complexity, Hindawi, vol. 2018, pages 1-18, November.
    4. Karim L. Anaya & Michael G. Pollitt, 2015. "Distributed Generation: Opportunities for Distribution Network Operators, Wider Society and Generators," Working Papers EPRG 1510, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Qianwen Zhong & Yize Sun & Lele Peng, 2018. "A Novel Control Strategy on Multiple-Mode Application of Electric Vehicle in Distributed Photovoltaic Systems," Complexity, Hindawi, vol. 2018, pages 1-11, July.
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    Cited by:

    1. Tsao, Yu-Chung & Thanh, Vo-Van & Lu, Jye-Chyi, 2021. "Sustainable advanced distribution management system design considering differential pricing schemes and carbon emissions," Energy, Elsevier, vol. 219(C).

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