IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i14p3666-d385199.html
   My bibliography  Save this article

Optimal Sizing of a Real Remote Japanese Microgrid with Sea Water Electrolysis Plant Under Time-Based Demand Response Programs

Author

Listed:
  • Mahmoud M. Gamil

    (Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Makoto Sugimura

    (Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Akito Nakadomari

    (Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Tomonobu Senjyu

    (Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Harun Or Rashid Howlader

    (Department of Electrical and Electronics Engineering, Faculty of engineering, University of The Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Hiroshi Takahashi

    (Fuji Elctric Co., Ltd, Tokyo 141-0032, Japan)

  • Ashraf M. Hemeida

    (Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

Abstract

Optimal sizing of power systems has a tremendous effective role in reducing the total system cost by preventing unneeded investment in installing unnecessary generating units. This paper presents an optimal sizing and planning strategy for a completely hybrid renewable energy power system in a remote Japanese island, which is composed of photovoltaic (PV), wind generators (WG), battery energy storage system (BESS), fuel cell (FC), seawater electrolysis plant, and hydrogen tank. Demand response programs are applied to overcome the performance variance of renewable energy systems (RESs) as they offer an efficient solution for many problems such as generation cost, high demand peak to average ratios, and assist grid reliability during peak load periods. Real-Time Pricing (RTP), which is deployed in this work, is one of the main price-based demand response groups used to regulate electricity consumption of consumers. Four case studies are considered to confirm the robustness and effectiveness of the proposed schemes. Mixed-Integer Linear Programming (MILP) is utilized to optimize the size of the system’s components to decrease the total system cost and maximize the profits at the same time.

Suggested Citation

  • Mahmoud M. Gamil & Makoto Sugimura & Akito Nakadomari & Tomonobu Senjyu & Harun Or Rashid Howlader & Hiroshi Takahashi & Ashraf M. Hemeida, 2020. "Optimal Sizing of a Real Remote Japanese Microgrid with Sea Water Electrolysis Plant Under Time-Based Demand Response Programs," Energies, MDPI, vol. 13(14), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3666-:d:385199
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/14/3666/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/14/3666/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Komiyama, Ryoichi & Otsuki, Takashi & Fujii, Yasumasa, 2015. "Energy modeling and analysis for optimal grid integration of large-scale variable renewables using hydrogen storage in Japan," Energy, Elsevier, vol. 81(C), pages 537-555.
    2. Jordehi, A. Rezaee, 2019. "Optimisation of demand response in electric power systems, a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 308-319.
    3. Hasan Masrur & Harun Or Rashid Howlader & Mohammed Elsayed Lotfy & Kaisar R. Khan & Josep M. Guerrero & Tomonobu Senjyu, 2020. "Analysis of Techno-Economic-Environmental Suitability of an Isolated Microgrid System Located in a Remote Island of Bangladesh," Sustainability, MDPI, vol. 12(7), pages 1-27, April.
    4. Pineda, Salvador & Bock, Andreas, 2016. "Renewable-based generation expansion under a green certificate market," Renewable Energy, Elsevier, vol. 91(C), pages 53-63.
    5. Nithya Saiprasad & Akhtar Kalam & Aladin Zayegh, 2019. "Triple Bottom Line Analysis and Optimum Sizing of Renewable Energy Using Improved Hybrid Optimization Employing the Genetic Algorithm: A Case Study from India," Energies, MDPI, vol. 12(3), pages 1-23, January.
    6. Esteban, Miguel & Zhang, Qi & Utama, Agya, 2012. "Estimation of the energy storage requirement of a future 100% renewable energy system in Japan," Energy Policy, Elsevier, vol. 47(C), pages 22-31.
    7. Dong, Yanli & Shimada, Koji, 2017. "Evolution from the renewable portfolio standards to feed-in tariff for the deployment of renewable energy in Japan," Renewable Energy, Elsevier, vol. 107(C), pages 590-596.
    8. Siano, Pierluigi & Sarno, Debora, 2016. "Assessing the benefits of residential demand response in a real time distribution energy market," Applied Energy, Elsevier, vol. 161(C), pages 533-551.
    9. Jamal, Taskin & Carter, Craig & Schmidt, Thomas & Shafiullah, G.M. & Calais, Martina & Urmee, Tania, 2019. "An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system," Applied Energy, Elsevier, vol. 254(C).
    10. Yan, Xing & Ozturk, Yusuf & Hu, Zechun & Song, Yonghua, 2018. "A review on price-driven residential demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 411-419.
    11. Wang, Yujie & Sun, Zhendong & Li, Xiyun & Yang, Xiaoyu & Chen, Zonghai, 2019. "A comparative study of power allocation strategies used in fuel cell and ultracapacitor hybrid systems," Energy, Elsevier, vol. 189(C).
    12. Esteban, Miguel & Portugal-Pereira, Joana, 2014. "Post-disaster resilience of a 100% renewable energy system in Japan," Energy, Elsevier, vol. 68(C), pages 756-764.
    13. Corgnale, Claudio & Hardy, Bruce & Chahine, Richard & Zacharia, Renju & Cossement, Daniel, 2019. "Hydrogen storage in a two-liter adsorbent prototype tank for fuel cell driven vehicles," Applied Energy, Elsevier, vol. 250(C), pages 333-343.
    14. Abdul Conteh & Mohammed Elsayed Lotfy & Oludamilare Bode Adewuyi & Paras Mandal & Hiroshi Takahashi & Tomonobu Senjyu, 2020. "Demand Response Economic Assessment with the Integration of Renewable Energy for Developing Electricity Markets," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    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. Mahmoud G. Hemeida & Salem Alkhalaf & Al-Attar A. Mohamed & Abdalla Ahmed Ibrahim & Tomonobu Senjyu, 2020. "Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO)," Energies, MDPI, vol. 13(15), pages 1-37, July.
    2. Yongyi Huang & Hasan Masrur & Ryuto Shigenobu & Ashraf Mohamed Hemeida & Alexey Mikhaylov & Tomonobu Senjyu, 2021. "A Comparative Design of a Campus Microgrid Considering a Multi-Scenario and Multi-Objective Approach," Energies, MDPI, vol. 14(11), pages 1-20, May.
    3. Evgeny Solomin & Shanmuga Priya Selvanathan & Sudhakar Kumarasamy & Anton Kovalyov & Ramyashree Maddappa Srinivasa, 2021. "The Comparison of Solar-Powered Hydrogen Closed-Cycle System Capacities for Selected Locations," Energies, MDPI, vol. 14(9), pages 1-18, May.
    4. Nirbheram, Joshi Sukhdev & Mahesh, Aeidapu & Bhimaraju, Ambati, 2023. "Techno-economic analysis of grid-connected hybrid renewable energy system adapting hybrid demand response program and novel energy management strategy," Renewable Energy, Elsevier, vol. 212(C), pages 1-16.
    5. Md. Rashedul Islam & Homeyra Akter & Harun Or Rashid Howlader & Tomonobu Senjyu, 2022. "Optimal Sizing and Techno-Economic Analysis of Grid-Independent Hybrid Energy System for Sustained Rural Electrification in Developing Countries: A Case Study in Bangladesh," Energies, MDPI, vol. 15(17), pages 1-21, September.

    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. Mahmoud M. Gamil & Soichirou Ueda & Akito Nakadomari & Keifa Vamba Konneh & Tomonobu Senjyu & Ashraf M. Hemeida & Mohammed Elsayed Lotfy, 2022. "Optimal Multi-Objective Power Scheduling of a Residential Microgrid Considering Renewable Sources and Demand Response Technique," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    2. Knuepfer, K. & Rogalski, N. & Knuepfer, A. & Esteban, M. & Shibayama, T., 2022. "A reliable energy system for Japan with merit order dispatch, high variable renewable share and no nuclear power," Applied Energy, Elsevier, vol. 328(C).
    3. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
    4. Astriani, Yuli & Shafiullah, GM & Shahnia, Farhad, 2021. "Incentive determination of a demand response program for microgrids," Applied Energy, Elsevier, vol. 292(C).
    5. Schellenberg, C. & Lohan, J. & Dimache, L., 2020. "Comparison of metaheuristic optimisation methods for grid-edge technology that leverages heat pumps and thermal energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N., 2022. "Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    7. Dranka, Géremi Gilson & Ferreira, Paula, 2019. "Review and assessment of the different categories of demand response potentials," Energy, Elsevier, vol. 179(C), pages 280-294.
    8. Jiang, Meihui & Xu, Zhenjiang & Zhu, Hongyu & Hwang Goh, Hui & Agustiono Kurniawan, Tonni & Liu, Tianhao & Zhang, Dongdong, 2024. "Integrated demand response modeling and optimization technologies supporting energy internet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    9. Esteban, Miguel & Portugal-Pereira, Joana & Mclellan, Benjamin C. & Bricker, Jeremy & Farzaneh, Hooman & Djalilova, Nigora & Ishihara, Keiichi N. & Takagi, Hiroshi & Roeber, Volker, 2018. "100% renewable energy system in Japan: Smoothening and ancillary services," Applied Energy, Elsevier, vol. 224(C), pages 698-707.
    10. Xu, Jiuping & Liu, Tingting, 2020. "Technological paradigm-based approaches towards challenges and policy shifts for sustainable wind energy development," Energy Policy, Elsevier, vol. 142(C).
    11. Ziyi Wang & Zengqiao Chen & Cuiping Ma & Ronald Wennersten & Qie Sun, 2022. "Nationwide Evaluation of Urban Energy System Resilience in China Using a Comprehensive Index Method," Sustainability, MDPI, vol. 14(4), pages 1-36, February.
    12. Keifa Vamba Konneh & Hasan Masrur & Mohammad Lutfi Othman & Hiroshi Takahashi & Narayanan Krishna & Tomonobu Senjyu, 2021. "Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    13. Bhagya Nathali Silva & Murad Khan & Kijun Han, 2020. "Futuristic Sustainable Energy Management in Smart Environments: A Review of Peak Load Shaving and Demand Response Strategies, Challenges, and Opportunities," Sustainability, MDPI, vol. 12(14), pages 1-23, July.
    14. Pereira, Diogo Santos & Marques, António Cardoso, 2020. "How should price-responsive electricity tariffs evolve? An analysis of the German net demand case," Utilities Policy, Elsevier, vol. 66(C).
    15. da Fonseca, André L.A. & Chvatal, Karin M.S. & Fernandes, Ricardo A.S., 2021. "Thermal comfort maintenance in demand response programs: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    16. Fang, Debin & Zhao, Chaoyang & Kleit, Andrew N., 2019. "The impact of the under enforcement of RPS in China: An evolutionary approach," Energy Policy, Elsevier, vol. 135(C).
    17. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
    18. Li, Yanxue & Gao, Weijun & Ruan, Yingjun & Ushifusa, Yoshiaki, 2018. "The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan," Energy, Elsevier, vol. 164(C), pages 811-821.
    19. Burandt, Thorsten, 2021. "Analyzing the necessity of hydrogen imports for net-zero emission scenarios in Japan," Applied Energy, Elsevier, vol. 298(C).
    20. Bricker, Jeremy D. & Esteban, Miguel & Takagi, Hiroshi & Roeber, Volker, 2017. "Economic feasibility of tidal stream and wave power in post-Fukushima Japan," Renewable Energy, Elsevier, vol. 114(PA), pages 32-45.

    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:13:y:2020:i:14:p:3666-:d:385199. 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.