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Improvement of a Hybrid Solar-Wind System for Self-Consumption of a Local Object with Control of the Power Consumed from the Grid

Author

Listed:
  • Olexandr Shavolkin

    (Department of Computer Engineering and Electromechanics, Institute of Engineering and Information Technologies, Kyiv National University of Technologies and Design, Mala Shyianovska (Nemyrovycha-Danchenka) Street, 2, 01011 Kyiv, Ukraine)

  • Iryna Shvedchykova

    (Department of Computer Engineering and Electromechanics, Institute of Engineering and Information Technologies, Kyiv National University of Technologies and Design, Mala Shyianovska (Nemyrovycha-Danchenka) Street, 2, 01011 Kyiv, Ukraine)

  • Michal Kolcun

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letná 9, 04001 Košice, Slovakia)

  • Dušan Medveď

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letná 9, 04001 Košice, Slovakia)

Abstract

Improvement of the principles of the implementation of a hybrid solar-wind system equipped with a battery for self-consumption of a local object, with the control of power consumed from the grid, is considered. The aim is to increase the degree of energy use from renewable energy sources for consumption while limiting the degree of battery discharge, taking into account deviations in the load schedule and generation of energy sources relative to the calculated (forecast) values. The possibility of compensating for deviations in the load schedule and renewable energy sources generation relative to the calculated (forecast) values is shown when electricity consumption decreases and the degree of energy use increases. Compliance of the schedule of the battery state of charge with the calculated schedule is achieved by correcting the consumption of active power according to the deviation of the state of charge with a given discreteness of time. The algorithm of the control was improved by taking into account the measured value of the load power with an increase in the degree of energy use. Also, the use of correction allows you to limit the depth of discharge of the battery at the accepted value. A mathematical 24 h model of energy processes was developed, taking into account the error in estimating the state of charge. The results of the modeling using archival data on renewable sources generation confirm that the proposed solutions are effective. For the considered application with average monthly generation in February, the correction allows reducing electricity consumption by 16–21% and payment costs at three tariffs by 24–27%.

Suggested Citation

  • Olexandr Shavolkin & Iryna Shvedchykova & Michal Kolcun & Dušan Medveď, 2023. "Improvement of a Hybrid Solar-Wind System for Self-Consumption of a Local Object with Control of the Power Consumed from the Grid," Energies, MDPI, vol. 16(15), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5851-:d:1212374
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    References listed on IDEAS

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    1. Schram, Wouter L. & Lampropoulos, Ioannis & van Sark, Wilfried G.J.H.M., 2018. "Photovoltaic systems coupled with batteries that are optimally sized for household self-consumption: Assessment of peak shaving potential," Applied Energy, Elsevier, vol. 223(C), pages 69-81.
    2. Ouédraogo, S. & Faggianelli, G.A. & Notton, G. & Duchaud, J.L. & Voyant, C., 2022. "Impact of electricity tariffs and energy management strategies on PV/Battery microgrid performances," Renewable Energy, Elsevier, vol. 199(C), pages 816-825.
    3. Linda Barelli & Gianni Bidini & Fabio Bonucci & Luca Castellini & Simone Castellini & Andrea Ottaviano & Dario Pelosi & Alberto Zuccari, 2018. "Dynamic Analysis of a Hybrid Energy Storage System (H-ESS) Coupled to a Photovoltaic (PV) Plant," Energies, MDPI, vol. 11(2), pages 1-23, February.
    4. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    5. Olexandr Shavolkin & Juraj Gerlici & Iryna Shvedchykova & Kateryna Kravchenko, 2022. "Solar–Wind System for the Remote Objects of Railway Transport Infrastructure," Energies, MDPI, vol. 15(18), pages 1-19, September.
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