IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v215y2021ipbs0360544220322830.html
   My bibliography  Save this article

Planning renewable energy introduction for a microgrid without battery storage

Author

Listed:
  • Obara, Shin’ya
  • Fujimoto, Shoki
  • Sato, Katsuaki
  • Utsugi, Yuta

Abstract

Microgrids with renewable generation can improve environmental impact on remote islands. This paper presents a case study of a plan for a microgrid that addresses the inconsistency of renewable energy with governor control and the inertial force of a diesel generator. This paper aims to design of a microgrid without a battery storage system. The case study was modeled to determine the maximum amount of renewable generation that can be introduced while maintaining stable frequency and voltage within the transmission grid. Data from Japan’s Teuri and Yagishiri islands were used. The findings of our study revealed that wind and photovoltaic power can account for about 20% of the generation in such a microgrid while maintaining frequency stability. Adjustment of the moment of inertia of diesel generators effectively compensates for the fluctuating output of renewable sources at small remote islands. The cost of such a microgrid could be recovered within 16–17 years.

Suggested Citation

  • Obara, Shin’ya & Fujimoto, Shoki & Sato, Katsuaki & Utsugi, Yuta, 2021. "Planning renewable energy introduction for a microgrid without battery storage," Energy, Elsevier, vol. 215(PB).
    • Handle: RePEc:eee:energy:v:215:y:2021:i:pb:s0360544220322830
    DOI: 10.1016/j.energy.2020.119176
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220322830
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.119176?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. Zhang, Yan & Fu, Lijun & Zhu, Wanlu & Bao, Xianqiang & Liu, Cang, 2018. "Robust model predictive control for optimal energy management of island microgrids with uncertainties," Energy, Elsevier, vol. 164(C), pages 1229-1241.
    2. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Adzman, Mohd Rafi & Mohammed, Mohd Fayzul & Ramli, Makbul A.M., 2020. "Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq," Energy, Elsevier, vol. 191(C).
    3. Han, Ying & Yang, Hanqing & Li, Qi & Chen, Weirong & Zare, Firuz & Guerrero, Josep M., 2020. "Mode-triggered droop method for the decentralized energy management of an islanded hybrid PV/hydrogen/battery DC microgrid," Energy, Elsevier, vol. 199(C).
    4. Obara, Shin'ya & Sato, Katsuaki & Utsugi, Yuta, 2018. "Study on the operation optimization of an isolated island microgrid with renewable energy layout planning," Energy, Elsevier, vol. 161(C), pages 1211-1225.
    5. Obara, Shin’ya & Utsugi, Yuta & Ito, Yuzi & Morel, Jorge & Okada, Masaki, 2015. "A study on planning for interconnected renewable energy facilities in Hokkaido, Japan," Applied Energy, Elsevier, vol. 146(C), pages 313-327.
    6. Yu, Dongmin & Zhu, Haoming & Han, Wenqi & Holburn, Daniel, 2019. "Dynamic multi agent-based management and load frequency control of PV/Fuel cell/ wind turbine/ CHP in autonomous microgrid system," Energy, Elsevier, vol. 173(C), pages 554-568.
    7. Quashie, Mike & Bouffard, François & Joós, Géza, 2017. "Business cases for isolated and grid connected microgrids: Methodology and applications," Applied Energy, Elsevier, vol. 205(C), pages 105-115.
    8. Hu, Mian & Wang, Yan-Wu & Xiao, Jiang-Wen & Lin, Xiangning, 2019. "Multi-energy management with hierarchical distributed multi-scale strategy for pelagic islanded microgrid clusters," Energy, Elsevier, vol. 185(C), pages 910-921.
    9. Makrygiorgou, Despoina I. & Alexandridis, Antonio T., 2018. "Distributed stabilizing modular control for stand-alone microgrids," Applied Energy, Elsevier, vol. 210(C), pages 925-935.
    10. El-Bidairi, Kutaiba S. & Nguyen, Hung Duc & Mahmoud, Thair S. & Jayasinghe, S.D.G. & Guerrero, Josep M., 2020. "Optimal sizing of Battery Energy Storage Systems for dynamic frequency control in an islanded microgrid: A case study of Flinders Island, Australia," Energy, Elsevier, vol. 195(C).
    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. Dehghani, Moslem & Niknam, Taher & Ghiasi, Mohammad & Baghaee, Hamid Reza & Blaabjerg, Frede & Dragicevǐć, Tomislav & Rashidi, Mohammadrashid, 2022. "Adaptive backstepping control for master-slave AC microgrid in smart island," Energy, Elsevier, vol. 246(C).
    2. Hamilton, James & Negnevitsky, Michael & Wang, Xiaolin, 2022. "The role of modified diesel generation within isolated power systems," Energy, Elsevier, vol. 240(C).
    3. Hartani, Mohamed Amine & Rezk, Hegazy & Benhammou, Aissa & Hamouda, Messaoud & Abdelkhalek, Othmane & Mekhilef, Saad & Olabi, A.G., 2023. "Proposed frequency decoupling-based fuzzy logic control for power allocation and state-of-charge recovery of hybrid energy storage systems adopting multi-level energy management for multi-DC-microgrid," Energy, Elsevier, vol. 278(C).
    4. Brumana, Giovanni & Franchini, Giuseppe & Ghirardi, Elisa & Perdichizzi, Antonio, 2022. "Techno-economic optimization of hybrid power generation systems: A renewables community case study," Energy, Elsevier, vol. 246(C).

    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. Chuan Xiang & Qi Cheng & Yizheng Zhu & Hongge Zhao, 2023. "Sliding Mode Control of Ship DC Microgrid Based on an Improved Reaching Law," Energies, MDPI, vol. 16(3), pages 1-14, January.
    2. Hu, Mian & Wang, Yan-Wu & Xiao, Jiang-Wen & Lin, Xiangning, 2019. "Multi-energy management with hierarchical distributed multi-scale strategy for pelagic islanded microgrid clusters," Energy, Elsevier, vol. 185(C), pages 910-921.
    3. Xing, Wei & Wang, Hewu & Lu, Languang & Han, Xuebing & Sun, Kai & Ouyang, Minggao, 2021. "An adaptive virtual inertia control strategy for distributed battery energy storage system in microgrids," Energy, Elsevier, vol. 233(C).
    4. Zehra, Syeda Shafia & Ur Rahman, Aqeel & Ahmad, Iftikhar, 2022. "Fuzzy-barrier sliding mode control of electric-hydrogen hybrid energy storage system in DC microgrid: Modelling, management and experimental investigation," Energy, Elsevier, vol. 239(PD).
    5. Rubén López-Rodríguez & Adriana Aguilera-González & Ionel Vechiu & Seddik Bacha, 2021. "Day-Ahead MPC Energy Management System for an Island Wind/Storage Hybrid Power Plant," Energies, MDPI, vol. 14(4), pages 1-33, February.
    6. Chen, Tengpeng & Cao, Yuhao & Qing, Xinlin & Zhang, Jingrui & Sun, Yuhao & Amaratunga, Gehan A.J., 2022. "Multi-energy microgrid robust energy management with a novel decision-making strategy," Energy, Elsevier, vol. 239(PA).
    7. Gui, Yonghao & Wei, Baoze & Li, Mingshen & Guerrero, Josep M. & Vasquez, Juan C., 2018. "Passivity-based coordinated control for islanded AC microgrid," Applied Energy, Elsevier, vol. 229(C), pages 551-561.
    8. Iolanda Saviuc & Herbert Peremans & Steven Van Passel & Kevin Milis, 2019. "Economic Performance of Using Batteries in European Residential Microgrids under the Net-Metering Scheme," Energies, MDPI, vol. 12(1), pages 1-28, January.
    9. Nyong-Bassey, Bassey Etim & Giaouris, Damian & Patsios, Charalampos & Papadopoulou, Simira & Papadopoulos, Athanasios I. & Walker, Sara & Voutetakis, Spyros & Seferlis, Panos & Gadoue, Shady, 2020. "Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty," Energy, Elsevier, vol. 193(C).
    10. Sandro Sitompul & Goro Fujita, 2021. "Impact of Advanced Load-Frequency Control on Optimal Size of Battery Energy Storage in Islanded Microgrid System," Energies, MDPI, vol. 14(8), pages 1-18, April.
    11. Peixiao Fan & Jia Hu & Song Ke & Yuxin Wen & Shaobo Yang & Jun Yang, 2022. "A Frequency–Pressure Cooperative Control Strategy of Multi-Microgrid with an Electric–Gas System Based on MADDPG," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    12. Konečná, Eva & Teng, Sin Yong & Máša, Vítězslav, 2020. "New insights into the potential of the gas microturbine in microgrids and industrial applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    13. Miguel Carpintero-Rentería & David Santos-Martín & Josep M. Guerrero, 2019. "Microgrids Literature Review through a Layers Structure," Energies, MDPI, vol. 12(22), pages 1-22, November.
    14. Lenzen, Manfred & McBain, Bonnie & Trainer, Ted & Jütte, Silke & Rey-Lescure, Olivier & Huang, Jing, 2016. "Simulating low-carbon electricity supply for Australia," Applied Energy, Elsevier, vol. 179(C), pages 553-564.
    15. Talaat, M. & Hatata, A.Y. & Alsayyari, Abdulaziz S. & Alblawi, Adel, 2020. "A smart load management system based on the grasshopper optimization algorithm using the under-frequency load shedding approach," Energy, Elsevier, vol. 190(C).
    16. Kinnon, Michael Mac & Razeghi, Ghazal & Samuelsen, Scott, 2021. "The role of fuel cells in port microgrids to support sustainable goods movement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    17. Shi, Mengshu & Huang, Yuansheng & Lin, Hongyu, 2023. "Research on power to hydrogen optimization and profit distribution of microgrid cluster considering shared hydrogen storage," Energy, Elsevier, vol. 264(C).
    18. Ricardo Echeverri Mart nez & Eduardo Caicedo Bravo & Wilfredo Alfonso Morales & Juan David Garcia-Racines, 2020. "A Bi-level Multi-objective Optimization Model for the Planning, Design and Operation of Smart Grid Projects. Case Study: An Islanded Microgrid," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 325-341.
    19. Abdulrahman AlKassem & Azeddine Draou & Abdullah Alamri & Hisham Alharbi, 2022. "Design Analysis of an Optimal Microgrid System for the Integration of Renewable Energy Sources at a University Campus," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    20. Ehtisham Lodhi & Fei-Yue Wang & Gang Xiong & Ghulam Ali Mallah & Muhammad Yaqoob Javed & Tariku Sinshaw Tamir & David Wenzhong Gao, 2021. "A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems," Sustainability, MDPI, vol. 13(19), pages 1-27, September.

    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:eee:energy:v:215:y:2021:i:pb:s0360544220322830. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.