Mathematical Modeling of Battery Energy Storage System Operating Modes using Volterra Integral Equations

Authors

  • D. N. Karamov Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences
  • I. R. Muftahov Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

DOI:

https://doi.org/10.22213/2413-1172-2022-3-92-99

Keywords:

photovoltaic system, battery energy storage system, Volterra integral equations, mathematical modelling, operating modes

Abstract

The integration of powerful photovoltaic systems and wind farms into energy systems significantly affects the operating modes due to frequent power fluctuations, thereby justifying the use of energy storage devices. The improvement of mathematical models describing operating modes of power facilities is a consequence of structure and process complication occurring in energy systems. The article presents a method for modelling the operating parameters of battery energy storage systems, based on the Volterra integral equations. The sequence of the solution is described, as well as its applicability in energy systems research. To determine the operating modes of battery energy storage systems, a non-standard class of Volterra integral equations of the first kind is used in the research. This makes it possible to calculate the operating modes of storage batteries in terms of the inverse problem, when the generation and power imbalance functions are known. To calculate the operating modes of several types of storage devices operating simultaneously within the same power system, the form of such equations can be specified in the form of piecewise constant functions. This method has a number of advantages, since it allows one to take into account nonlinear processes in the kernels of integral equations. Thus, the processes of degradation of energy storage devices that affect the efficiency of their operation are taken into account. The use of regularizing algorithms makes it possible to reduce the error. As an example, an autonomous photovoltaic system with batteries was considered. The obtained results and their visualization show the viability of applying the approach.

Author Biographies

D. N. Karamov, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

PhD in Engineering

I. R. Muftahov, Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

References

Kober T., Schiffer H.-W., Densing M., Panos E. Global energy perspectives to 2060 - WEC’s World Energy Scenarios 2019. Energy Strategy Reviews, 2020, 31, 100523.

Gambhira A., Rogelj J., Luderer G., Few Sh., Napp T. Energy system changes in 1.5 °C, well below 2 °C and 2 °C scenarios. Energy Strategy Reviews, 2019, 23, 69-80.

Williams N.J., Jaramillo P., Taneja J., Ustun T.S. Enabling private sector investment in microgrid-based rural electrification in developing countries: a review. Renewable and Sustainable Energy Reviews, 2015, 52, 1268-1281.

Nolden C., Sorrell S., Polzin F. Catalysing the energy service market: The role of intermediaries. Energy Policy, 2016, 98, 420-430.

Hulshof D., Jepma C., Mulder M. Performance of markets for European renewable energy certificates. Energy Policy, 2019, 128, 697-710.

Hustveit M., Frogner J.S.vFleten S-E. Tradable green certificates for renewable support: The role of expectations and uncertainty. Energy, 2017, 141, 1717-1727.

Al Busaidi A.S., Kazem H.A., Al-Badi A.H., Khan M.F. A review of optimum sizing of hybrid PV-Wind renewable energy systems in Oman. Renewable and Sustainable Energy Reviews, 2016, 53, 185-193.

Liu Y., Wu X., Du J., Song Z., Wu G. Optimal sizing of a wind-energy storage system considering battery life. Renewable Energy, 2020, 147, 2470-2483.

Allegrini J., Orehounig K., Mavromatidis G., Ruesch F., Dorer V., Evins R. A review of modelling approaches and tools for the simulation of district-scale energy systems. Renewable and Sustainable Energy Reviews, 2015, 52, 1391-1404.

Markova E., Sidler I., Trufanov V. Optimization problem for the integral model of developing systems. Journal of the Operations Research Society of China, 2020, 1-19.

Fariborzi Araghi M.A., Noeiaghdam S. Homotopy regularization method to solve the singular Volterra integral equations of the rst kind. Jordan Journal of Mathematics and Statistics, 2018, 11(1), 1-12.

Апарцин А. С., Сидлер И. В. Неклассические уравнения Вольтерра первого рода в моделировании развивающихся систем // Автоматика и телемеханика. 2013. № 6. С. 3-16.

Sidorov D., Panasetsky D., Tomin N. Toward Zero-Emission Hybrid AC/DC Power Systems with Renewable Energy Sources and Storages: A Case Study from Lake Baikal Region. Energies, 2020, 13 (5), 1226.

Tynda A. N., Noeiaghdam S., Sidorov D. N. Polynomial Spline Collocation Method for Solving Weakly Regular Volterra Integral Equations of the First Kind. The Bulletin of Irkutsk State University. Series Mathematics, 2022, 39, 62-79.

Dubarry M., Devie A., Stein K., Tun M., Matsuura M., Rocheleau R. Battery Energy Storage System battery durability and reliability under electric utility grid operations: Analysis of 3 years of real usage. Journal of Power Sources, 2017, 338, 65-73.

Hassan A.S., Cipcigan L., Jenkins N. Optimal battery storage operation for PV systems with tariff incentives. Applied Energy, 2017, 203, 422-441.

Dufo-López R., Fernández-Jiménez L.A., Ramírez-Rosado I.J., Artal-Sevil J.S., Domínguez-Navarro J.A., Bernal-Agustín J.L. Daily operation optimisation of hybrid stand-alone system by model predictive control considering ageing model. Energy Conversion and Management, 2017, 134, 167-177.

Cristóbal-Monreal I.R., Dufo-López R. Optimisation of photovoltaic-diesel-battery stand-alone systems minimising system weight. Energy Conversion and Management, 2016, 119, 279-288.

Vieira Pombo A., Murta-Pina J., Fernão Pires V. Multiobjective formulation of the integration of storage systems within distribution networks for improving reliability. Electric Power Systems Research, 2017, 87-96.

Svoboda V., Wenzl H., Kaiser R. Operating conditions of batteries in off-grid renewable energy systems. Solar Energy, 2007, 81, 1409-1425.

Published

25.09.2022

How to Cite

Karamov Д. Н., & Muftahov И. Р. (2022). Mathematical Modeling of Battery Energy Storage System Operating Modes using Volterra Integral Equations. Vestnik IzhGTU Imeni M.T. Kalashnikova, 25(3), 92–99. https://doi.org/10.22213/2413-1172-2022-3-92-99

Issue

Section

Articles