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The effect of the hysteresis band on power management strategies in a stand-alone power system

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  • Ipsakis, Dimitris
  • Voutetakis, Spyros
  • Seferlis, Panos
  • Stergiopoulos, Fotis
  • Papadopoulou, Simira
  • Elmasides, Costas

Abstract

A stand-alone power system that consists of a photovoltaic array and wind generators for the exploitation of renewable energy sources (RES), and that is capable of storing excessive energy in the form of hydrogen via water electrolysis for subsequent use in a polymer electrolyte membrane (PEM) fuel cell is currently being installed at Neo Olvio of Xanthi in Greece. The performance of two power management strategies (PMSs) that utilize a hysteresis band in the operation of the integrated system over a typical 4-month period is assessed. The state-of-charge (SOC) level of the accumulator is the main parameter that governs the operation of the electrolyzer and the fuel cell. The introduction of a hysteresis band in the boundary limits of the SOC of the accumulator provides larger flexibility in the operation of the electrolyzer, the fuel cell, and the accumulator. In this way, the units can be protected from heavy and unnecessary utilization or irregular operation (reduction of frequent start-ups and shut-downs). The simulated results for the implemented PMSs revealed important information about the reliability of the load satisfaction, the total operation time that each subsystem undergoes, as well as about the hydrogen inventory in the integrated system. The study also identified the effect of variation of hysteresis band size on the system performance as an important feature for the development of an integrated control strategy.

Suggested Citation

  • Ipsakis, Dimitris & Voutetakis, Spyros & Seferlis, Panos & Stergiopoulos, Fotis & Papadopoulou, Simira & Elmasides, Costas, 2008. "The effect of the hysteresis band on power management strategies in a stand-alone power system," Energy, Elsevier, vol. 33(10), pages 1537-1550.
    • Handle: RePEc:eee:energy:v:33:y:2008:i:10:p:1537-1550
    DOI: 10.1016/j.energy.2008.07.012
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    1. Ouzounidou, Martha & Ipsakis, Dimitris & Voutetakis, Spyros & Papadopoulou, Simira & Seferlis, Panos, 2009. "A combined methanol autothermal steam reforming and PEM fuel cell pilot plant unit: Experimental and simulation studies," Energy, Elsevier, vol. 34(10), pages 1733-1743.
    2. Zhang, Xiuqin & Guo, Juncheng & Chen, Jincan, 2010. "The parametric optimum analysis of a proton exchange membrane (PEM) fuel cell and its load matching," Energy, Elsevier, vol. 35(12), pages 5294-5299.
    3. Jallouli, Rihab & Krichen, Lotfi, 2012. "Sizing, techno-economic and generation management analysis of a stand alone photovoltaic power unit including storage devices," Energy, Elsevier, vol. 40(1), pages 196-209.
    4. Bruni, G. & Cordiner, S. & Mulone, V., 2014. "Domestic distributed power generation: Effect of sizing and energy management strategy on the environmental efficiency of a photovoltaic-battery-fuel cell system," Energy, Elsevier, vol. 77(C), pages 133-143.
    5. Francisco J. Vivas Fernández & Francisca Segura Manzano & José Manuel Andújar Márquez & Antonio J. Calderón Godoy, 2020. "Extended Model Predictive Controller to Develop Energy Management Systems in Renewable Source-Based Smart Microgrids with Hydrogen as Backup. Theoretical Foundation and Case Study," Sustainability, MDPI, vol. 12(21), pages 1-28, October.
    6. Bizon, Nicu & Radut, Marin & Oproescu, Mihai, 2015. "Energy control strategies for the Fuel Cell Hybrid Power Source under unknown load profile," Energy, Elsevier, vol. 86(C), pages 31-41.
    7. Carapellucci, Roberto & Giordano, Lorena, 2013. "The effect of diurnal profile and seasonal wind regime on sizing grid-connected and off-grid wind power plants," Applied Energy, Elsevier, vol. 107(C), pages 364-376.
    8. Bartolucci, Lorenzo & Cordiner, Stefano & Mulone, Vincenzo & Rocco, Vittorio & Rossi, Joao Luis, 2018. "Hybrid renewable energy systems for renewable integration in microgrids: Influence of sizing on performance," Energy, Elsevier, vol. 152(C), pages 744-758.
    9. Maria C. Fotopoulou & Panagiotis Drosatos & Stefanos Petridis & Dimitrios Rakopoulos & Fotis Stergiopoulos & Nikolaos Nikolopoulos, 2021. "Model Predictive Control for the Energy Management in a District of Buildings Equipped with Building Integrated Photovoltaic Systems and Batteries," Energies, MDPI, vol. 14(12), pages 1-21, June.
    10. Giaouris, Damian & Papadopoulos, Athanasios I. & Ziogou, Chrysovalantou & Ipsakis, Dimitris & Voutetakis, Spyros & Papadopoulou, Simira & Seferlis, Panos & Stergiopoulos, Fotis & Elmasides, Costas, 2013. "Performance investigation of a hybrid renewable power generation and storage system using systemic power management models," Energy, Elsevier, vol. 61(C), pages 621-635.
    11. Masmoudi, Abdelkarim & Abdelkafi, Achraf & Krichen, Lotfi, 2011. "Electric power generation based on variable speed wind turbine under load disturbance," Energy, Elsevier, vol. 36(8), pages 5016-5026.
    12. Giaouris, Damian & Papadopoulos, Athanasios I. & Seferlis, Panos & Voutetakis, Spyros & Papadopoulou, Simira, 2016. "Power grand composite curves shaping for adaptive energy management of hybrid microgrids," Renewable Energy, Elsevier, vol. 95(C), pages 433-448.
    13. Olatomiwa, Lanre & Mekhilef, Saad & Ismail, M.S. & Moghavvemi, M., 2016. "Energy management strategies in hybrid renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 821-835.

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