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Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics

Author

Listed:
  • Leszek Kasprzyk

    (Faculty of Control, Robotics and Electrical Engineering, Poznań University of Technology, 60-965 Poznań, Poland)

  • Andrzej Tomczewski

    (Faculty of Control, Robotics and Electrical Engineering, Poznań University of Technology, 60-965 Poznań, Poland)

  • Robert Pietracho

    (Faculty of Control, Robotics and Electrical Engineering, Poznań University of Technology, 60-965 Poznań, Poland)

  • Agata Mielcarek

    (Faculty of Environmental Engineering and Energy, Poznań University of Technology, 60-965 Poznań, Poland)

  • Zbigniew Nadolny

    (Faculty of Environmental Engineering and Energy, Poznań University of Technology, 60-965 Poznań, Poland)

  • Krzysztof Tomczewski

    (Faculty of Electrical Engineering Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland)

  • Grzegorz Trzmiel

    (Faculty of Control, Robotics and Electrical Engineering, Poznań University of Technology, 60-965 Poznań, Poland)

  • Juan Alemany

    (Power Systems Analysis Group, Río Cuarto National University, Rio Cuarto X5804BYA, Argentina)

Abstract

An important aspect of the off-grid utilization of hybrid generation systems is the integration of energy storage facilities into their structures, which allows for improved power supply reliability. However, this results in a significant increase in the cost of such systems. Therefore, it is justified to use optimization resulting in the minimization of the selected economic indicator taking into account the most important technical constraints. For this reason, this work proposes an algorithm to optimize the structure of a hybrid off-grid power distribution system (with electrochemical energy storage), designed to supply a load with known daily energy demand. The authors recommend genetic algorithm utilization as well as a modified criterion for evaluating the quality of solutions based on the Levelized Cost of Energy (LCOE) index. Several technical and economic analyses were presented, including unit costs, power distribution of the wind and solar sections, nominal battery capacity, SSSI index (System Self-Sufficiency Index), etc. The model of the system includes durability of the elements which have a significant impact on the periodic battery replacement. The tests were carried out for two types of loads and two types of electrochemical batteries (NMC—Lithium Nickel Manganese Cobalt Oxide; and PbO 2 —Lead-Acid Battery), taking into account the forecast of an increased lifetime of NMC type batteries and decreasing their price within five years. The proposed synthesis method of photovoltaic-wind (PV-wind) hybrid off-line systems leads to limiting the energy capacity of electrochemical storages. Based on the analyses, the authors proposed recommended methods to improve (reduce) the value of the criterion index (LCOE) for PV-wind off-grid systems while maintaining the assumed level of power supply reliability.

Suggested Citation

  • Leszek Kasprzyk & Andrzej Tomczewski & Robert Pietracho & Agata Mielcarek & Zbigniew Nadolny & Krzysztof Tomczewski & Grzegorz Trzmiel & Juan Alemany, 2020. "Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics," Energies, MDPI, vol. 13(22), pages 1-31, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6143-:d:449689
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    References listed on IDEAS

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    2. Jiarui Wang & Dexin Li & Xiangyu Lv & Xiangdong Meng & Jiajun Zhang & Tengfei Ma & Wei Pei & Hao Xiao, 2022. "Two-Stage Energy Management Strategies of Sustainable Wind-PV-Hydrogen-Storage Microgrid Based on Receding Horizon Optimization," Energies, MDPI, vol. 15(8), pages 1-18, April.
    3. Van-Hai Bui & Xuan Quynh Nguyen & Akhtar Hussain & Wencong Su, 2021. "Optimal Sizing of Energy Storage System for Operation of Wind Farms Considering Grid-Code Constraints," Energies, MDPI, vol. 14(17), pages 1-19, September.
    4. Binxin Zhu & Junliang Liu & Shusheng Wang & Zhe Li, 2025. "Enhanced Models for Wind, Solar Power Generation, and Battery Energy Storage Systems Considering Power Electronic Converter Precise Efficiency Behavior," Energies, MDPI, vol. 18(6), pages 1-21, March.

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