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A Study of Energy Reduction Strategies in Renewable Hybrid Grid

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Artificial Intelligence and Industrial Applications (A2IA 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 144))

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Abstract

Hybrid renewable energy systems (HRES) have been introduced to overcome intermittent nature of single source renewable energy generation. In order to utilize HRES optimally, two issues must be considered: optimal sizing and optimal operation. The first issue has been considered vastly in several articles but the second one needs more attention and work. The performance of hybrid renewable energy systems highly depends on how efficient the control of energy production is. This paper presents a comparative analysis of Multi-agent-system and Fuzzy Logic Controller based control strategies. The proposed system consists of photovoltaic panels and a wind turbine along with batteries as storage units. The comparison between two control strategies is analyzed and it is clear that MAS-based control system provides dynamic response and has higher efficiency than the FLC-based control technique. MAS-based system provides robustness toward the nonlinearity of the system. The current harmonics, unbalance current and the load reactive power are compensated effectively using the combination of MAS control strategy. The system was tested with empty batteries and full batteries and results showed that the system could satisfy the load demand while maintaining the level of the batteries between 30% (minimum discharging rate) and 80% (maximum charging rate).

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References

  1. Koua, B.K., Koffi, P.M.E., Gbaha, P., Tour, S.: Present status and overview of potential of renewable energy in Cote d’Ivoire. Renew. Sustain. Energy Rev. 41, 907–914 (2015)

    Article  Google Scholar 

  2. Zadeh, L.: The concept of a linguistic variable and its application to approximate reasoning I. Inf. Sci. 8, 1996249 (1975)

    MathSciNet  Google Scholar 

  3. Ross, T.J.: Fuzzy Logic with Engineering applications, 2nd edn. Wiley, Chichester (2004)

    MATH  Google Scholar 

  4. Ameur, C., Faquir, S., Yahyaouy, A., Sabri, M.A.: An approach for revising a fuzzy logic controller using Q-learning algorithm. In: 2017 Intelligent Systems and Computer Vision (ISCV), pp. 1–6. IEEE, April 2017. https://doi.org/10.1109/isacv.2017.8054949

  5. McArthur, S.D.J., Davidson, E.M., Catterson, V.M., Dimeas, A.L., Hatziargyriou, N.D., Ponci, F.: Multi-agent systems for power engineering applicationspart I: concepts, approaches, and technical challenges. IEEE Trans. Power Syst. 22(4), 1743–1752 (2007)

    Google Scholar 

  6. McArthur, S.D.J., Davidson, E.M., Catterson, V.M., Dimeas, A.L., Hatziargyriou, N.D., Ponci, F.: Multi-agent systems for power engineering applications - part II: technologies, standards, and tools for building multi-agent systems. IEEE Trans. Power Syst. 22(4), 1743–1752 (2007)

    Article  Google Scholar 

  7. Faquir, S., Yahyaouy, A., Tairi, H., Sabor, J.: Implementing a fuzzy logic based algorithm to predict solar and wind energies in a hybrid renewable energy system. Int. J. Fuzzy Syst. Appl. 4(3), 10–24 (2015)

    Article  Google Scholar 

  8. Faquir, S., Yahyaouy, A., Tairi, H., Sabor, J.: Energy management in an electrical hybrid system using fuzzy inference control system. In: IESM, Rabat-Morocco (2013)

    Google Scholar 

  9. Lin, W.-M., Hong, C.-M., Chen, C.-H.: Neuralnetwork-based MPPT control of a stand-alone hybrid power generation system. IEEE Trans. Power Electron. 26(12), 35713581 (2011)

    Article  Google Scholar 

  10. Yang, H., Zhou, W., Lu, L., Fang, Z.: Optimal sizing method for stand-alone hybrid solarwind system with LPSP technology by using genetic algorithm. Sol. Energy 82(4), 354–367 (2008)

    Article  Google Scholar 

  11. Thounthong, P., Luksanasakul, A., Koseeyaporn, P., Davat, B.: Intelligent model based control of a standalone photovoltaic/fuel cell power plant with super-capacitor energy storage. IEEE Trans. Sustain. Energy 4(1), 240–249 (2013)

    Article  Google Scholar 

  12. Senjyu, T., Hayashi, D., Urasaki, N., Funabashi, T.: Optimum configuration for renewable generating systems in residence using genetic algorithm. IEEE Trans. Energy Convers. 21(1), 459–467 (2006)

    Article  Google Scholar 

  13. Das, D.C., Roy, A.K., Sinha, N.: GA based frequency controller for solar thermal diesel-wind hybrid energy generation/energy storage system. Electr. Power Energy Syst. 43(1), 262–279 (2012)

    Article  Google Scholar 

  14. Kang, K.H., Won, D.J.: Power management strategy of stand-alone hybrid system to reduce the operation mode changes. In: Proceedings of the Transmission and Distribution Conference and Exposition, pp. 1–4 (2009)

    Google Scholar 

  15. Onar, O.C., Uzunoglu, M., Alam, M.S.: Dynamic modeling, design and simulation of a wind/fuel cell/ultra-capacitor based hybrid power generation system. J. Power Sources 161(1), 707–722 (2006)

    Article  Google Scholar 

  16. Chauhan, A., Khatod, D.K.: Modeling and simulation of self-excited induction generator (SEIG) with electronic load controller (ELC) reference to a stand-alone micro hydro-power plant. In: Proceedings of the International Conference on Advance Renewable Energy, pp. 1–6 (2010)

    Google Scholar 

  17. Ipsakis, D., Voutetakis, S., Seferlis, P., Stergiopoulos, F., Elmasides, C.: Power management strategies for a standalone power system using renewable energy sources and hydrogen storage. Int. J. Hydrog. Energy 34(16), 7081–7095 (2009)

    Article  Google Scholar 

  18. Park, J.S., Katagi, T., Yamamoto, S., Hashimoto, T.: Operation control of photovoltaic/diesel hybrid generating system considering fluctuation of solar radiation. Sol. Energy Mater. Solar Cells 67(14), 535–542 (2001)

    Google Scholar 

  19. Ameur, C., Faquir, S., Yahyaouy, A.: Intelligent optimization and management system for renewable energy systems using multi-agent. In: 2018 Modern Intelligent Systems Concepts (MISC), vol. 8(4), December 2018

    Google Scholar 

  20. Ameur, C., Faquir, S., Yahyaouy, A.: Intelligent optimization and management system for renewable energy systems using multi-agent. IAES Int. J. Artif. Intell. 8(4), 352–359 (2019). http://doi.org/10.11591/ijai.v8.i4

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Author information

Authors and Affiliations

  1. LIIAN Laboratory, Computer Science Department, Faculty of Sciences Dhar Mehraz, Sidi Mohamed Ben Abdellah University, Fes, Morocco

    Chahinaze Ameur & Ali Yahyaouy

  2. Faculty of Sciences Engineering, Fes Private University, Fes, Morocco

    Sanaa Faquir

Authors
  1. Chahinaze Ameur
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  2. Sanaa Faquir
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  3. Ali Yahyaouy
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Corresponding author

Correspondence to Chahinaze Ameur .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, National Graduate School for Arts and Crafts, Meknes, Morocco

    Tawfik Masrour

  2. Department of Industrial and Manufacturing Engineering, National Graduate School for Arts and Crafts, Meknes, Morocco

    Ibtissam El Hassani

  3. Department of Industrial and Manufacturing Engineering, National Graduate School for Arts and Crafts, Meknes, Morocco

    Anass Cherrafi

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Ameur, C., Faquir, S., Yahyaouy, A. (2021). A Study of Energy Reduction Strategies in Renewable Hybrid Grid. In: Masrour, T., El Hassani, I., Cherrafi, A. (eds) Artificial Intelligence and Industrial Applications. A2IA 2020. Lecture Notes in Networks and Systems, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-030-53970-2_2

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