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Planning renewable energy introduction for a microgrid without battery storage

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  • 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
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    References listed on IDEAS

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    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 & 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. Makrygiorgou, Despoina I. & Alexandridis, Antonio T., 2018. "Distributed stabilizing modular control for stand-alone microgrids," Applied Energy, Elsevier, vol. 210(C), pages 925-935.
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    Cited by:

    1. Hamilton, James & Negnevitsky, Michael & Wang, Xiaolin, 2022. "The role of modified diesel generation within isolated power systems," Energy, Elsevier, vol. 240(C).
    2. 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).
    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).

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