IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i8p1257-d393090.html
   My bibliography  Save this article

Nonlinear Systems of Volterra Equations with Piecewise Smooth Kernels: Numerical Solution and Application for Power Systems Operation

Author

Listed:
  • Denis Sidorov

    (Applied Mathematics Department, Energy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, Russia
    Baikal School of BRICS, Irkutsk National Research Technical University, 664074 Irkutsk, Russia)

  • Aleksandr Tynda

    (Faculty of Computer Engineering, Penza State University, 440026 Penza, Russia)

  • Ildar Muftahov

    (Applied Mathematics Department, Energy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, Russia
    Main Computing Center, Joint Stock Company “Russian Railways”, 664005 Irkutsk, Russia)

  • Aliona Dreglea

    (Applied Mathematics Department, Energy Systems Institute, Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, Russia
    Baikal School of BRICS, Irkutsk National Research Technical University, 664074 Irkutsk, Russia)

  • Fang Liu

    (School of Automation, Central South University, Changsha 410083, China)

Abstract

The evolutionary integral dynamical models of storage systems are addressed. Such models are based on systems of weakly regular nonlinear Volterra integral equations with piecewise smooth kernels. These equations can have non-unique solutions that depend on free parameters. The objective of this paper was two-fold. First, the iterative numerical method based on the modified Newton–Kantorovich iterative process is proposed for a solution of the nonlinear systems of such weakly regular Volterra equations. Second, the proposed numerical method was tested both on synthetic examples and real world problems related to the dynamic analysis of microgrids with energy storage systems.

Suggested Citation

  • Denis Sidorov & Aleksandr Tynda & Ildar Muftahov & Aliona Dreglea & Fang Liu, 2020. "Nonlinear Systems of Volterra Equations with Piecewise Smooth Kernels: Numerical Solution and Application for Power Systems Operation," Mathematics, MDPI, vol. 8(8), pages 1-19, August.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:8:p:1257-:d:393090
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/8/1257/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/8/8/1257/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Natali Hritonenko & Yuri Yatsenko, 2013. "Mathematical Modeling in Economics, Ecology and the Environment," Springer Optimization and Its Applications, Springer, edition 2, number 978-1-4614-9311-2, December.
    2. Denis Sidorov & Daniil Panasetsky & Nikita Tomin & Dmitriy Karamov & Aleksei Zhukov & Ildar Muftahov & Aliona Dreglea & Fang Liu & Yong Li, 2020. "Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region," Energies, MDPI, vol. 13(5), pages 1-18, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aleksandr N. Tynda & Denis N. Sidorov, 2022. "Inverse Problem for the Integral Dynamic Models with Discontinuous Kernels," Mathematics, MDPI, vol. 10(21), pages 1-9, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simin Aghaei Amirkhizi & Yaghoub Mahmoudi & Ali Salimi Shamloo, 2022. "Legendre polynomials approximation method for solving Volterra integral equations of the first kind with discontinuous kernels," Indian Journal of Pure and Applied Mathematics, Springer, vol. 53(2), pages 492-504, June.
    2. Bréchet, Thierry & Hritonenko, Natali & Yatsenko, Yuri, 2016. "Domestic environmental policy and international cooperation for global commons," Resource and Energy Economics, Elsevier, vol. 44(C), pages 183-205.
    3. Harri Aaltonen & Seppo Sierla & Rakshith Subramanya & Valeriy Vyatkin, 2021. "A Simulation Environment for Training a Reinforcement Learning Agent Trading a Battery Storage," Energies, MDPI, vol. 14(17), pages 1-20, September.
    4. Denis Sidorov & Fang Liu & Yonghui Sun, 2020. "Machine Learning for Energy Systems," Energies, MDPI, vol. 13(18), pages 1-6, September.
    5. Sergey Zhironkin & Fares Abu-Abed & Elena Dotsenko, 2023. "The Development of Renewable Energy in Mineral Resource Clusters—The Case of the Siberian Federal District," Energies, MDPI, vol. 16(9), pages 1-28, April.
    6. António M Lopes & J A Tenreiro Machado & John S Huffstot & Maria Eugénia Mata, 2018. "Dynamical analysis of the global business-cycle synchronization," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, February.
    7. Woi Sok Oh & Rachata Muneepeerakul, 2019. "How do substitutability and effort asymmetry change resource management in coupled natural-human systems?," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    8. Alexander N. Kozlov & Nikita V. Tomin & Denis N. Sidorov & Electo E. S. Lora & Victor G. Kurbatsky, 2020. "Optimal Operation Control of PV-Biomass Gasifier-Diesel-Hybrid Systems Using Reinforcement Learning Techniques," Energies, MDPI, vol. 13(10), pages 1-20, May.
    9. Félix Dubuisson & Miloud Rezkallah & Hussein Ibrahim & Ambrish Chandra, 2021. "Real-Time Implementation of the Predictive-Based Control with Bacterial Foraging Optimization Technique for Power Management in Standalone Microgrid Application," Energies, MDPI, vol. 14(6), pages 1-15, March.
    10. Aleksandr N. Tynda & Denis N. Sidorov, 2022. "Inverse Problem for the Integral Dynamic Models with Discontinuous Kernels," Mathematics, MDPI, vol. 10(21), pages 1-9, October.
    11. Yu. Yu. Kostyukhin, 2019. "Methodological provisions of building models of industrial enterprise development," Russian Journal of Industrial Economics, MISIS, vol. 12(1).
    12. V. V. Brinza & Yu. Yu. Kostyukhin & I. V. Fadeeva, 2017. "Potential of modeling techniques organizational systems with matrix structure and the possibility of expanding their information base," Russian Journal of Industrial Economics, MISIS, issue 3.
    13. Taghavifar, Hadi & Zomorodian, Zahra Sadat, 2021. "Techno-economic viability of on grid micro-hybrid PV/wind/Gen system for an educational building in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    14. Vibha Kamaraj & N. Chellammal & Bharatiraja Chokkalingam & Josiah Lange Munda, 2020. "Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter," Energies, MDPI, vol. 13(24), pages 1-29, December.
    15. María Jesús Rodríguez-Gulías & Sara Fernández-López & David Rodeiro-Pazos, 2024. "Disentangling the Effects of Knowledge Spillovers and Family Firm Nature on Innovative Performance: a Multilevel Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6362-6389, June.
    16. Kebai Li & Tianyi Ma & Tom Dooling & Guo Wei, 2019. "Urban Comprehensive Water Consumption: Nonlinear Control of Production Factor Input Based upon the C-D Function," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    17. Cui, Zhenhua & Kang, Le & Li, Liwei & Wang, Licheng & Wang, Kai, 2022. "A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures," Renewable Energy, Elsevier, vol. 198(C), pages 1328-1340.
    18. Yuri Yatsenko, 2015. "Models and Games with Adaptation and Mitigation," CEEES Paper Series CE3S-01/15, European University at St. Petersburg, Department of Economics.
    19. Natali Hritonenko & Yuri Yatsenko, 2006. "Optimization of Harvesting Return from Age-Structured Population," Journal of Bioeconomics, Springer, vol. 8(2), pages 167-179, August.
    20. Dmitriy N. Karamov & Pavel V. Ilyushin & Konstantin V. Suslov, 2022. "Electrification of Rural Remote Areas Using Renewable Energy Sources: Literature Review," Energies, MDPI, vol. 15(16), pages 1-13, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:8:p:1257-:d:393090. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.