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Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments

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Listed:
  • Marco Severini

    (Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 1, 60131 Ancona, Italy)

  • Emanuele Principi

    (Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 1, 60131 Ancona, Italy)

  • Marco Fagiani

    (Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 1, 60131 Ancona, Italy)

  • Stefano Squartini

    (Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 1, 60131 Ancona, Italy)

  • Francesco Piazza

    (Department of Information Engineering, Università Politecnica delle Marche, Via Brecce Bianche 1, 60131 Ancona, Italy)

Abstract

Although photovoltaic power plants are suitable local energy sources in Micro Grid environments, when large plants are involved, partial shading and inaccurate modelling of the plant can affect both the design of the Micro Grid as well as the energy management process that allows for lowering the overall Micro Grid demand towards the main grid. To investigate the issue, a Photovoltaic Plant simulation model, based on a real life power plant, and an energy management system, based on a real life Micro Grid environment, have been integrated to evaluate the performance of a Micro Grid under partial shading conditions. Using a baseline energy production model as a reference, the energy demand of the Micro Grid has been computed in sunny and partial shading conditions. The experiments reveal that an estimation based on a simplified PV model can exceed by 65% the actual production. With regards to Micro Grid design, on sunny days, the expected costs, based on a simplified PV model, can be 5.5% lower than the cost based on the double inverter model. In single cloud scenarios, the underrating can reach 28.3%. With regard to the management process, if the energy yield is estimated by means of a simplified PV model, the actual cost can be from 17.1% to 21.5% higher than the theoretical cost expected at design time.

Suggested Citation

  • Marco Severini & Emanuele Principi & Marco Fagiani & Stefano Squartini & Francesco Piazza, 2017. "Energy Management with Support of PV Partial Shading Modelling in Micro Grid Environments," Energies, MDPI, vol. 10(4), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:453-:d:94713
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    References listed on IDEAS

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    1. Dolara, Alberto & Lazaroiu, George Cristian & Leva, Sonia & Manzolini, Giampaolo, 2013. "Experimental investigation of partial shading scenarios on PV (photovoltaic) modules," Energy, Elsevier, vol. 55(C), pages 466-475.
    2. Comodi, Gabriele & Giantomassi, Andrea & Severini, Marco & Squartini, Stefano & Ferracuti, Francesco & Fonti, Alessandro & Nardi Cesarini, Davide & Morodo, Matteo & Polonara, Fabio, 2015. "Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies," Applied Energy, Elsevier, vol. 137(C), pages 854-866.
    3. Leva, S. & Dolara, A. & Grimaccia, F. & Mussetta, M. & Ogliari, E., 2017. "Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 88-100.
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