IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i7d10.1007_s10668-024-04988-6.html
   My bibliography  Save this article

Analysis of energy management in a hybrid renewable power system using MOA technique

Author

Listed:
  • K. A. Indu Sailaja

    (Easwari Engineering College)

  • K. Rahimunnisa

    (Easwari Engineering College)

Abstract

A hybrid energy system is made up of intermittent, nonlinear, and fluctuating renewable energy sources like wind and solar. The cost of implementing and maintaining hybrid energy system can be a significant drawback, particularly due to the high upfront investment required for renewable energy infrastructure and energy storage technologies. The demand for electricity, the quantity of energy generated, the climate, and power management are some of the variables that affect how well HES performs. A hybrid renewable power system’s energy management is proposed in this manuscript. The proposed method is Mother Optimization Algorithm (MOA). The system is made up of several components that use renewable energy sources, including a solar energy conservation system (SECS), battery storage system (BSS) and a wind energy conservation system (WECS). The proposed method’s primary aim is to improves the system’s efficiency and to lessen the system’s operating expenses. Additionally, an energy management (EM) based on the battery state of charge is established in order to maintain an energy balance in the hybrid power system. The proposed MOA approach controls the DC/AC converter. The specific contributions include enhancing system efficiency and reducing operating expenses in hybrid renewable power systems using the MOA technique and also the practical implications involve promoting economic viability and environmental sustainability while advancing the transition to cleaner energy systems. By then, the operational MATLAB platform has adopted the proposed model, and the current processes are used to calculate its execution. Compared to all other ways, the proposed strategy yields better outcomes like Genetic Algorithm (GA), Mixed Integer Linear Problem and Particle Swarm Optimization. The proposed method cost is 7100$ and the existing methods cost are 8100$, 1100$, 9100$. From the result, the proposed method displays the cost is lower compared to existing methods.

Suggested Citation

  • K. A. Indu Sailaja & K. Rahimunnisa, 2024. "Analysis of energy management in a hybrid renewable power system using MOA technique," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18989-19011, July.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-024-04988-6
    DOI: 10.1007/s10668-024-04988-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-024-04988-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-024-04988-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tabar, Vahid Sohrabi & Ghassemzadeh, Saeid & Tohidi, Sajjad, 2019. "Energy management in hybrid microgrid with considering multiple power market and real time demand response," Energy, Elsevier, vol. 174(C), pages 10-23.
    2. Singh, Bharat & Kumar, Ashwani, 2023. "Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program," Energy, Elsevier, vol. 278(PA).
    3. Zeb, Raheel & Salar, Laleena & Awan, Usama & Zaman, Khalid & Shahbaz, Muhammad, 2014. "Causal links between renewable energy, environmental degradation and economic growth in selected SAARC countries: Progress towards green economy," Renewable Energy, Elsevier, vol. 71(C), pages 123-132.
    4. Rullo, P. & Braccia, L. & Luppi, P. & Zumoffen, D. & Feroldi, D., 2019. "Integration of sizing and energy management based on economic predictive control for standalone hybrid renewable energy systems," Renewable Energy, Elsevier, vol. 140(C), pages 436-451.
    5. Kadri, Ameni & Marzougui, Hajer & Aouiti, Abdelkrim & Bacha, Faouzi, 2020. "Energy management and control strategy for a DFIG wind turbine/fuel cell hybrid system with super capacitor storage system," Energy, Elsevier, vol. 192(C).
    Full references (including those not matched with items on IDEAS)

    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. Mostafa Esmaeili Shayan & Gholamhassan Najafi & Barat Ghobadian & Shiva Gorjian & Mohamed Mazlan & Mehdi Samami & Alireza Shabanzadeh, 2022. "Flexible Photovoltaic System on Non-Conventional Surfaces: A Techno-Economic Analysis," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    2. Saidi Kais & Ben Mbarek Mounir, 2017. "Causal interactions between environmental degradation, renewable energy, nuclear energy and real GDP: a dynamic panel data approach," Environment Systems and Decisions, Springer, vol. 37(1), pages 51-67, March.
    3. GUPTA Monika, 2019. "Decomposing The Role Of Different Factors In Co2 Emissions Increase In South Asia," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(1), pages 72-86, April.
    4. Aikaterina Oikonomou & Michael Polemis & Symeoni-Eleni Soursou, 2021. "International Environmental Agreements and CO 2 Emissions: Fresh Evidence from 11 Polluting Countries," JRFM, MDPI, vol. 14(7), pages 1-13, July.
    5. Huang, Chunjun & Zong, Yi & You, Shi & Træholt, Chresten & Zheng, Yi & Wang, Jiawei & Zheng, Zixuan & Xiao, Xianyong, 2023. "Economic and resilient operation of hydrogen-based microgrids: An improved MPC-based optimal scheduling scheme considering security constraints of hydrogen facilities," Applied Energy, Elsevier, vol. 335(C).
    6. Matheus Koengkan & José Alberto Fuinhas, 2022. "The Interactions Between Renewable Energy Consumption, Economic Growth, and Globalisation: Fresh Evidence from the Mercosur Countries," Springer Books, in: Globalisation and Energy Transition in Latin America and the Caribbean, chapter 0, pages 63-99, Springer.
    7. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    8. Sofia Karagiannopoulou & Grigoris Giannarakis & Emilios Galariotis & Constantin Zopounidis & Nikolaos Sariannidis, 2022. "The Impact of Dow Jones Sustainability Index, Exchange Rate and Consumer Sentiment Index on Carbon Emissions," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    9. Zhiming Lu & Youting Li & Guying Zhuo & Chuanbo Xu, 2023. "Configuration Optimization of Hydrogen-Based Multi-Microgrid Systems under Electricity Market Trading and Different Hydrogen Production Strategies," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    10. Manel Kamoun & Ines Abdelkafi & Abdelfetah Ghorbel, 2020. "Does Renewable Energy Technologies and Poverty Affect the Sustainable Growth in Emerging Countries?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 865-887, September.
    11. José Manuel Andújar & Francisca Segura & Jesús Rey & Francisco José Vivas, 2022. "Batteries and Hydrogen Storage: Technical Analysis and Commercial Revision to Select the Best Option," Energies, MDPI, vol. 15(17), pages 1-32, August.
    12. Kangyin Dong & Xiucheng Dong & Qingzhe Jiang, 2020. "How renewable energy consumption lower global CO2 emissions? Evidence from countries with different income levels," The World Economy, Wiley Blackwell, vol. 43(6), pages 1665-1698, June.
    13. Jiang, Yinghua & Kang, Lixia & Liu, Yongzhong, 2019. "A unified model to optimize configuration of battery energy storage systems with multiple types of batteries," Energy, Elsevier, vol. 176(C), pages 552-560.
    14. Squalli, Jay, 2017. "Renewable energy, coal as a baseload power source, and greenhouse gas emissions: Evidence from U.S. state-level data," Energy, Elsevier, vol. 127(C), pages 479-488.
    15. Aurélien Saussay & Zuzana Dobrotková & Sheoli Pargal, 2024. "Employment Impacts of Clean Energy Investments in Emerging Market Economies - A Review of the Literature and Methodologies Used in Assessment," World Bank Publications - Reports 41245, The World Bank Group.
    16. Banna, Hasanul & Alam, Ashraful & Chen, Xihui Haviour & Alam, Ahmed W., 2023. "Energy security and economic stability: The role of inflation and war," Energy Economics, Elsevier, vol. 126(C).
    17. Zhang, Hao & Tong, Xiangqian & Yin, Jun & Blaabjerg, Frede, 2023. "Neural network-aided 4-DF global efficiency optimal control for the DAB converter based on the comprehensive loss model," Energy, Elsevier, vol. 262(PA).
    18. Alina Zaharia & Maria Claudia Diaconeasa & Laura Brad & Georgiana-Raluca Lădaru & Corina Ioanăș, 2019. "Factors Influencing Energy Consumption in the Context of Sustainable Development," Sustainability, MDPI, vol. 11(15), pages 1-28, August.
    19. Zhang, Hongsheng & Xiong, Peizhi & Yang, Shangzhao & Yu, Jinna, 2023. "Renewable energy utilization, green finance and agricultural land expansion in China," Resources Policy, Elsevier, vol. 80(C).
    20. Hu, Yusha & Man, Yi, 2022. "Two-stage energy scheduling optimization model for complex industrial process and its industrial verification," Renewable Energy, Elsevier, vol. 193(C), pages 879-894.

    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:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-024-04988-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.