IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4793-d852018.html
   My bibliography  Save this article

Determination of the Electricity Storage Power and Capacity for Cooperation with the Microgrid Implementing the Peak Shaving Strategy in Selected Industrial Enterprises

Author

Listed:
  • Rafał Kuźniak

    (Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland)

  • Artur Pawelec

    (Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland)

  • Artur Bartosik

    (Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland)

  • Marek Pawełczyk

    (Faculty of Management and Computer Modeling, Kielce University of Technology, Al. Tysiąclecia P.P.7, 25-314 Kielce, Poland)

Abstract

The capacity limitations of distribution networks, the increasing demands for electricity installation in terms of electricity quality parameters, and the development of electromobility all increase the need to implement systems in order to stabilize and regulate loads for end users. Battery Energy Storage Systems (BESSs), that operate in internal microgrids of enterprises, allow smoothing of electrical power consumption profiles by actively reducing peak demand power. By using BESSs to implement a peak shaving strategy to reduce the peak power consumption of a company in an external network, energy efficiency can be improved by reducing contractual capacity. The aim of this study is to determine the conditions for the use of energy storage, in order to implement a peak shaving strategy for which the installation of the enterprise microgrid is economically efficient. The analysis of the operating conditions of the BESS should take into account the size of the energy storage, the characteristics of the demand profile for the demand systems, the charges related to electricity, and the costs of electricity storage. In the study, the size of the energy storage was related to the power and electrical capacity of the BESS that was used to implement the peak shaving strategy. The article presents the results of research on the method for determining an effective capacity and power of BESSs for enterprise microgrid systems. The technical and cost limitations of the actual microgrid system, which affected the decrease in economic efficiency of the peak shaving strategy in the company research, were taken into account. The simulations of the operation of the electricity storage system, based on real data of the demand of production companies, were based on the rules and market conditions in Poland.

Suggested Citation

  • Rafał Kuźniak & Artur Pawelec & Artur Bartosik & Marek Pawełczyk, 2022. "Determination of the Electricity Storage Power and Capacity for Cooperation with the Microgrid Implementing the Peak Shaving Strategy in Selected Industrial Enterprises," Energies, MDPI, vol. 15(13), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4793-:d:852018
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4793/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4793/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rodrigo Martins & Holger C. Hesse & Johanna Jungbauer & Thomas Vorbuchner & Petr Musilek, 2018. "Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications," Energies, MDPI, vol. 11(8), pages 1-22, August.
    2. Paulo Rotella Junior & Luiz Célio Souza Rocha & Sandra Naomi Morioka & Ivan Bolis & Gianfranco Chicco & Andrea Mazza & Karel Janda, 2021. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives," Energies, MDPI, vol. 14(9), pages 1-29, April.
    3. Henok Ayele Behabtu & Maarten Messagie & Thierry Coosemans & Maitane Berecibar & Kinde Anlay Fante & Abraham Alem Kebede & Joeri Van Mierlo, 2020. "A Review of Energy Storage Technologies’ Application Potentials in Renewable Energy Sources Grid Integration," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    4. Ning Gao & Xin Lin & Weimin Wu & Frede Blaabjerg, 2021. "Grid Current Feedback Active Damping Control Based on Disturbance Observer for Battery Energy Storage Power Conversion System with LCL Filter," Energies, MDPI, vol. 14(5), pages 1-16, March.
    5. Claudia Rahmann & Benjamin Mac-Clure & Vijay Vittal & Felipe Valencia, 2017. "Break-Even Points of Battery Energy Storage Systems for Peak Shaving Applications," Energies, MDPI, vol. 10(7), pages 1-13, June.
    6. Mohamad Kharseh & Holger Wallbaum, 2018. "How Adding a Battery to a Grid-Connected Photovoltaic System Can Increase its Economic Performance: A Comparison of Different Scenarios," Energies, MDPI, vol. 12(1), pages 1-19, December.
    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. Pablo Carrasco Ortega & Pablo Durán Gómez & Julio César Mérida Sánchez & Fernando Echevarría Camarero & Ángel Á. Pardiñas, 2023. "Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review," Energies, MDPI, vol. 16(17), pages 1-51, August.
    2. Hongli Liu & Luoqi Wang & Ji Li & Lei Shao & Delong Zhang, 2023. "Research on Smart Power Sales Strategy Considering Load Forecasting and Optimal Allocation of Energy Storage System in China," Energies, MDPI, vol. 16(8), pages 1-18, April.
    3. Adam Krechowicz & Maria Krechowicz & Katarzyna Poczeta, 2022. "Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources," Energies, MDPI, vol. 15(23), pages 1-41, December.

    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. Lange, Christopher & Rueß, Alexandra & Nuß, Andreas & Öchsner, Richard & März, Martin, 2020. "Dimensioning battery energy storage systems for peak shaving based on a real-time control algorithm," Applied Energy, Elsevier, vol. 280(C).
    2. Rafał Kuźniak & Artur Pawelec & Artur S. Bartosik & Marek Pawelczyk, 2022. "Determining the Power and Capacity of Electricity Storage in Cooperation with the Microgrid for the Implementation of the Price Arbitration Strategy of Industrial Enterprises Installation," Energies, MDPI, vol. 15(15), pages 1-18, August.
    3. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    4. Luiz Moreira Coelho Junior & Amadeu Junior da Silva Fonseca & Roberto Castro & João Carlos de Oliveira Mello & Victor Hugo Ribeiro dos Santos & Renato Barros Pinheiro & Wilton Lima Sousa & Edvaldo Per, 2022. "Empirical Evidence of the Cost of Capital under Risk Conditions for Thermoelectric Power Plants in Brazil," Energies, MDPI, vol. 15(12), pages 1-12, June.
    5. Rômulo de Oliveira Azevêdo & Paulo Rotela Junior & Luiz Célio Souza Rocha & Gianfranco Chicco & Giancarlo Aquila & Rogério Santana Peruchi, 2020. "Identification and Analysis of Impact Factors on the Economic Feasibility of Photovoltaic Energy Investments," Sustainability, MDPI, vol. 12(17), pages 1-40, September.
    6. Dalala, Zakariya & Al-Omari, Murad & Al-Addous, Mohammad & Bdour, Mathhar & Al-Khasawneh, Yaqoub & Alkasrawi, Malek, 2022. "Increased renewable energy penetration in national electrical grids constraints and solutions," Energy, Elsevier, vol. 246(C).
    7. Rui Pan & Guiping Lin & Zhigao Shi & Yu Zeng & Xue Yang, 2021. "The Application of Disturbance-Observer-Based Control in Breath Pressure Control of Aviation Electronic Oxygen Regulator," Energies, MDPI, vol. 14(16), pages 1-16, August.
    8. Agata Bielecka & Daniel Wojciechowski, 2021. "Stability Analysis of Shunt Active Power Filter with Predictive Closed-Loop Control of Supply Current," Energies, MDPI, vol. 14(8), pages 1-17, April.
    9. Ziqi Liu & Tingting Su & Zhiying Quan & Quanli Wu & Yu Wang, 2023. "Review on the Optimal Configuration of Distributed Energy Storage," Energies, MDPI, vol. 16(14), pages 1-17, July.
    10. Warren S. Vaz, 2020. "Multiobjective Optimization of a Residential Grid-Tied Solar System," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    11. Razzaqul Ahshan, 2021. "Potential and Economic Analysis of Solar-to-Hydrogen Production in the Sultanate of Oman," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    12. Lechón, Yolanda & Lago, Carmen & Herrera, Israel & Gamarra, Ana Rosa & Pérula, Alberto, 2023. "Carbon benefits of different energy storage alternative end uses. Application to the Spanish case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    13. Kai Xu & Youguang Guo & Gang Lei & Jianguo Zhu, 2023. "A Review of Flywheel Energy Storage System Technologies," Energies, MDPI, vol. 16(18), pages 1-32, September.
    14. Karel Janda & Eva Michalikova & Luiz Célio Souza Rocha & Paulo Rotella Junior & Barbora Schererova & David Zilberman, 2022. "Review of the Impact of Biofuels on U.S. Retail Gasoline Prices," Energies, MDPI, vol. 16(1), pages 1-21, December.
    15. Anderson V. Rocha & Thales A. C. Maia & Braz J. C. Filho, 2022. "Improving the Battery Energy Storage System Performance in Peak Load Shaving Applications," Energies, MDPI, vol. 16(1), pages 1-19, December.
    16. Bertasini, Davide & Battista, Federico & Rizzioli, Fabio & Frison, Nicola & Bolzonella, David, 2023. "Decarbonization of the European natural gas grid using hydrogen and methane biologically produced from organic waste: A critical overview," Renewable Energy, Elsevier, vol. 206(C), pages 386-396.
    17. Sepúlveda-Mora, Sergio B. & Hegedus, Steven, 2021. "Making the case for time-of-use electric rates to boost the value of battery storage in commercial buildings with grid connected PV systems," Energy, Elsevier, vol. 218(C).
    18. Guilherme V. Hollweg & Shahid A. Khan & Shivam Chaturvedi & Yaoyu Fan & Mengqi Wang & Wencong Su, 2023. "Grid-Connected Converters: A Brief Survey of Topologies, Output Filters, Current Control, and Weak Grids Operation," Energies, MDPI, vol. 16(9), pages 1-31, April.
    19. Gabriel Nasser Doyle de Doile & Paulo Rotella Junior & Luiz Célio Souza Rocha & Ivan Bolis & Karel Janda & Luiz Moreira Coelho Junior, 2021. "Hybrid Wind and Solar Photovoltaic Generation with Energy Storage Systems: A Systematic Literature Review and Contributions to Technical and Economic Regulations," Energies, MDPI, vol. 14(20), pages 1-22, October.
    20. Hu, Yu & Armada, Miguel & Jesús Sánchez, María, 2022. "Potential utilization of battery energy storage systems (BESS) in the major European electricity markets," Applied Energy, Elsevier, vol. 322(C).

    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:jeners:v:15:y:2022:i:13:p:4793-:d:852018. 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.