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Application of Petri nets for the energy management of a photovoltaic based power station including storage units

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  • Lu, D.
  • Fakham, H.
  • Zhou, T.
  • François, B.

Abstract

This paper deals with the energy management of a photovoltaic based power station. This power station includes storage units with batteries for long-term energy supply and ultracapacitors for fast dynamic power regulation. According to the availability of the primary source, the level of the stored energy and the request from the grid operator, we have defined and detailed three main operating modes for this system with a particular modeling tool: Petri nets. For each operating mode, we have designed an energy management algorithm in order to calculate the energy dispatching of an adjustable power margin for the storage units.

Suggested Citation

  • Lu, D. & Fakham, H. & Zhou, T. & François, B., 2010. "Application of Petri nets for the energy management of a photovoltaic based power station including storage units," Renewable Energy, Elsevier, vol. 35(6), pages 1117-1124.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:6:p:1117-1124
    DOI: 10.1016/j.renene.2009.12.017
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    Cited by:

    1. Emmanuel, Michael & Rayudu, Ramesh, 2017. "Evolution of dispatchable photovoltaic system integration with the electric power network for smart grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 207-224.
    2. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
    3. Djamila Rekioua & Toufik Rekioua & Ahmed Elsanabary & Saad Mekhilef, 2023. "Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System," Energies, MDPI, vol. 16(5), pages 1-24, February.
    4. Maya Vijayan & Ramanjaneya Reddy Udumula & Tarkeshwar Mahto & Bhamidi Lokeshgupta & B Srikanth Goud & Ch Naga Sai Kalyan & Praveen Kumar Balachandran & Dhanamjayulu C & Sanjeevikumar Padmanaban & Bhek, 2022. "Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    5. Robyns, Benoît & Davigny, Arnaud & Saudemont, Christophe, 2013. "Methodologies for supervision of Hybrid Energy Sources based on Storage Systems – A survey," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 52-71.
    6. Courtecuisse, Vincent & Sprooten, Jonathan & Robyns, Benoît & Petit, Marc & Francois, Bruno & Deuse, Jacques, 2010. "A methodology to design a fuzzy logic based supervision of Hybrid Renewable Energy Systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 208-224.
    7. Hu, Ming-Che & Lu, Su-Ying & Chen, Yen-Haw, 2016. "Stochastic programming and market equilibrium analysis of microgrids energy management systems," Energy, Elsevier, vol. 113(C), pages 662-670.
    8. Wang, B.C. & Sechilariu, M. & Locment, F., 2013. "Power flow Petri Net modelling for building integrated multi-source power system with smart grid interaction," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 91(C), pages 119-133.
    9. El-Kadi Hellel & Samir Hamaci & Rezki Ziani, 2019. "Performance-related dependability evaluation of multi-source renewable energy systems using deterministic and stochastic Petri nets," Energy & Environment, , vol. 30(5), pages 800-820, August.
    10. Konara, K.M.S.Y. & Kolhe, Mohan & Sharma, Arvind, 2020. "Power flow management controller within a grid connected photovoltaic based active generator as a finite state machine using hierarchical approach with droop characteristics," Renewable Energy, Elsevier, vol. 155(C), pages 1021-1031.

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