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Reduction of Power Production Costs in a Wind Power Plant–Flywheel Energy Storage System Arrangement

Author

Listed:
  • Andrzej Tomczewski

    (Faculty of Electrical Engineering, Poznań University of Technology, Piotrowo 3A str, 60-965 Poznań, Poland)

  • Leszek Kasprzyk

    (Faculty of Electrical Engineering, Poznań University of Technology, Piotrowo 3A str, 60-965 Poznań, Poland)

  • Zbigniew Nadolny

    (Faculty of Electrical Engineering, Poznań University of Technology, Piotrowo 3A str, 60-965 Poznań, Poland)

Abstract

The paper presents issues of optimisation of a wind power plant–energy storage system (WPP-ESS) arrangement operating in a specific geographical location. An algorithm was developed to minimise the unit discounted cost of electricity generation in a system containing a wind power plant and flywheel energy storage. In order to carry out the task, population heuristics of the genetic algorithm were used with modifications introduced by the author (taking into account the coefficient of variation of the generation in the quasi-static term of the penalty and the selection method). The set of inequality restrictions related to the technical parameters of turbines and energy storage and the parameters of energy storage management has been taken into account with the application of the Powell–Skolnick penalty function (Michalewicz modification). The results of sample optimisation calculations for two wind power plants of 2 MW were presented. The effects achieved in the process of optimisation were described—especially the influence of the parameters of the energy storage management system on the unit cost of electricity generation. The use of a system with higher unit costs of energy generation compared to independently operating wind turbines was justified in the context of improving the conditions of compatibility with the power system—the strategy belongs to a power firming group.

Suggested Citation

  • Andrzej Tomczewski & Leszek Kasprzyk & Zbigniew Nadolny, 2019. "Reduction of Power Production Costs in a Wind Power Plant–Flywheel Energy Storage System Arrangement," Energies, MDPI, vol. 12(10), pages 1-24, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1942-:d:232946
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    References listed on IDEAS

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    1. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    2. 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.
    3. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2015. "A Flywheel Energy Storage System Based on a Doubly Fed Induction Machine and Battery for Microgrid Control," Energies, MDPI, vol. 8(6), pages 1-16, June.
    4. Mohammed Guezgouz & Jakub Jurasz & Benaissa Bekkouche, 2019. "Techno-Economic and Environmental Analysis of a Hybrid PV-WT-PSH/BB Standalone System Supplying Various Loads," Energies, MDPI, vol. 12(3), pages 1-28, February.
    5. Farihan Mohamad & Jiashen Teh & Ching-Ming Lai & Liang-Rui Chen, 2018. "Development of Energy Storage Systems for Power Network Reliability: A Review," Energies, MDPI, vol. 11(9), pages 1-19, August.
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    Cited by:

    1. 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.
    2. Ru Hou & Yi Yang & Qingcong Yuan & Yanhua Chen, 2019. "Research and Application of Hybrid Wind-Energy Forecasting Models Based on Cuckoo Search Optimization," Energies, MDPI, vol. 12(19), pages 1-17, September.
    3. Trzmiel, G. & Głuchy, D. & Kurz, D., 2020. "The impact of shading on the exploitation of photovoltaic installations," Renewable Energy, Elsevier, vol. 153(C), pages 480-498.
    4. Christoph Wenge & Robert Pietracho & Stephan Balischewski & Bartlomiej Arendarski & Pio Lombardi & Przemyslaw Komarnicki & Leszek Kasprzyk, 2020. "Multi Usage Applications of Li-Ion Battery Storage in a Large Photovoltaic Plant: A Practical Experience," Energies, MDPI, vol. 13(18), pages 1-18, September.
    5. 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.
    6. Damian Burzyński & Robert Pietracho & Leszek Kasprzyk & Andrzej Tomczewski, 2019. "Analysis and Modeling of the Wear-Out Process of a Lithium-Nickel-Manganese-Cobalt Cell during Cycling Operation under Constant Load Conditions," Energies, MDPI, vol. 12(20), pages 1-12, October.

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