IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v146y2015icp313-327.html
   My bibliography  Save this article

A study on planning for interconnected renewable energy facilities in Hokkaido, Japan

Author

Listed:
  • Obara, Shin’ya
  • Utsugi, Yuta
  • Ito, Yuzi
  • Morel, Jorge
  • Okada, Masaki

Abstract

In this paper, to optimize the kind and capacity of renewable energy installed in each area, an optimization program was developed using a simple genetic algorithm (GA). In the proposed algorithm, the kind and capacity of renewable energy was expressed using a chromosome model. The most efficient and economical system could be identified by applying the model in a random computer search. A case study was developed to test the proposed algorithm. In the case study, a solar power station was installed near 14 cities in Hokkaido, Japan, and a wind power station was installed seven areas. Using the algorithm, the system planning requirements for the interconnection of these renewable energy facilities over a large area were optimized. On the basis of these results, the kind and capacity of renewable energy considered to be the most economically advantageous to the region were identified and evaluated. Using the proposed optimization algorithm for planning and design, an efficient, economical, and interconnected system of electrical power could be realized from renewable energy over a large area.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:146:y:2015:i:c:p:313-327
    DOI: 10.1016/j.apenergy.2015.02.037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915002147
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2015.02.037?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. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    2. Ramirez, Dionisio & Martinez, Sergio & Carrero, Carmelo & Platero, Carlos A., 2012. "Improvements in the grid connection of renewable generators with full power converters," Renewable Energy, Elsevier, vol. 43(C), pages 90-100.
    3. Reza Arghandeh & Jeremy Woyak & Ahmet Onen & Jaesung Jung & Robert P. Broadwater, 2014. "Economic Optimal Operation of Community Energy Storage Systems in Competitive Energy Markets," Papers 1407.0433, arXiv.org, revised Sep 2014.
    4. Voyant, Cyril & Darras, Christophe & Muselli, Marc & Paoli, Christophe & Nivet, Marie-Laure & Poggi, Philippe, 2014. "Bayesian rules and stochastic models for high accuracy prediction of solar radiation," Applied Energy, Elsevier, vol. 114(C), pages 218-226.
    5. Yu, Feng & Xu, Xiaozhong, 2014. "A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network," Applied Energy, Elsevier, vol. 134(C), pages 102-113.
    6. Zeng, Ming & Duan, Jinhui & Wang, Liang & Zhang, Yingjie & Xue, Song, 2015. "Orderly grid connection of renewable energy generation in China: Management mode, existing problems and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 14-28.
    7. R. Kinney & P. Crucitti & R. Albert & V. Latora, 2005. "Modeling cascading failures in the North American power grid," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 46(1), pages 101-107, July.
    8. Franco, Alessandro & Salza, Pasquale, 2011. "Strategies for optimal penetration of intermittent renewables in complex energy systems based on techno-operational objectives," Renewable Energy, Elsevier, vol. 36(2), pages 743-753.
    9. Kwon, Pil Seok & Østergaard, Poul, 2014. "Assessment and evaluation of flexible demand in a Danish future energy scenario," Applied Energy, Elsevier, vol. 134(C), pages 309-320.
    10. Connolly, D. & Lund, H. & Mathiesen, B.V. & Pican, E. & Leahy, M., 2012. "The technical and economic implications of integrating fluctuating renewable energy using energy storage," Renewable Energy, Elsevier, vol. 43(C), pages 47-60.
    11. Obara, Shin’ya & Kawai, Masahito & Kawae, Osamu & Morizane, Yuta, 2013. "Operational planning of an independent microgrid containing tidal power generators, SOFCs, and photovoltaics," Applied Energy, Elsevier, vol. 102(C), pages 1343-1357.
    12. Javier Marcos & Iñigo De la Parra & Miguel García & Luis Marroyo, 2014. "Control Strategies to Smooth Short-Term Power Fluctuations in Large Photovoltaic Plants Using Battery Storage Systems," Energies, MDPI, vol. 7(10), pages 1-27, October.
    13. Tong, Shi Jie & Same, Adam & Kootstra, Mark A. & Park, Jae Wan, 2013. "Off-grid photovoltaic vehicle charge using second life lithium batteries: An experimental and numerical investigation," Applied Energy, Elsevier, vol. 104(C), pages 740-750.
    14. Reddy, K.S. & Kumar, Madhusudan & Mallick, T.K. & Sharon, H. & Lokeswaran, S., 2014. "A review of Integration, Control, Communication and Metering (ICCM) of renewable energy based smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 180-192.
    15. Arghandeh, Reza & Woyak, Jeremy & Onen, Ahmet & Jung, Jaesung & Broadwater, Robert P., 2014. "Economic optimal operation of Community Energy Storage systems in competitive energy markets," Applied Energy, Elsevier, vol. 135(C), pages 71-80.
    16. Ruiz-Romero, Salvador & Colmenar-Santos, Antonio & Mur-Pérez, Francisco & López-Rey, África, 2014. "Integration of distributed generation in the power distribution network: The need for smart grid control systems, communication and equipment for a smart city — Use cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 223-234.
    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. 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).
    2. 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.
    3. Choi, Bokkyu & Panthi, Dhruba & Nakoji, Masateru & Tsutsumi, Kaduo & Tsutsumi, Atsushi, 2017. "Design and performance evaluation of a novel 1kW-class hydrogen production/power generation system," Applied Energy, Elsevier, vol. 194(C), pages 296-303.

    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. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    3. Terlouw, Tom & AlSkaif, Tarek & Bauer, Christian & van Sark, Wilfried, 2019. "Optimal energy management in all-electric residential energy systems with heat and electricity storage," Applied Energy, Elsevier, vol. 254(C).
    4. Hafiz, Faeza & Rodrigo de Queiroz, Anderson & Fajri, Poria & Husain, Iqbal, 2019. "Energy management and optimal storage sizing for a shared community: A multi-stage stochastic programming approach," Applied Energy, Elsevier, vol. 236(C), pages 42-54.
    5. Hyun Cheol Jeong & Jaesung Jung & Byung O Kang, 2020. "Development of Operational Strategies of Energy Storage System Using Classification of Customer Load Profiles under Time-of-Use Tariffs in South Korea," Energies, MDPI, vol. 13(7), pages 1-17, April.
    6. Weitzel, Timm & Glock, Christoph H., 2018. "Energy management for stationary electric energy storage systems: A systematic literature review," European Journal of Operational Research, Elsevier, vol. 264(2), pages 582-606.
    7. Abdullah M. Alabdullatif & Enrico H. Gerding & Alvaro Perez-Diaz, 2020. "Market Design and Trading Strategies for Community Energy Markets with Storage and Renewable Supply," Energies, MDPI, vol. 13(4), pages 1-31, February.
    8. Wyman-Pain, Heather & Bian, Yuankai & Thomas, Cain & Li, Furong, 2018. "The economics of different generation technologies for frequency response provision," Applied Energy, Elsevier, vol. 222(C), pages 554-563.
    9. van der Stelt, Sander & AlSkaif, Tarek & van Sark, Wilfried, 2018. "Techno-economic analysis of household and community energy storage for residential prosumers with smart appliances," Applied Energy, Elsevier, vol. 209(C), pages 266-276.
    10. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
    11. Han, Xiaojuan & Zhang, Hua & Yu, Xiaoling & Wang, Lina, 2016. "Economic evaluation of grid-connected micro-grid system with photovoltaic and energy storage under different investment and financing models," Applied Energy, Elsevier, vol. 184(C), pages 103-118.
    12. Resch, Matthias & Bühler, Jochen & Klausen, Mira & Sumper, Andreas, 2017. "Impact of operation strategies of large scale battery systems on distribution grid planning in Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1042-1063.
    13. Vidal-Amaro, Juan José & Østergaard, Poul Alberg & Sheinbaum-Pardo, Claudia, 2015. "Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system," Applied Energy, Elsevier, vol. 150(C), pages 80-96.
    14. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    15. Dezhou Kong & Jianru Jing & Tingyue Gu & Xuanyue Wei & Xingning Sa & Yimin Yang & Zhiang Zhang, 2023. "Theoretical Analysis of Integrated Community Energy Systems (ICES) Considering Integrated Demand Response (IDR): A Review of the System Modelling and Optimization," Energies, MDPI, vol. 16(10), pages 1-22, May.
    16. Zhang, Chunyu & Wang, Qi & Wang, Jianhui & Korpås, Magnus & Pinson, Pierre & Østergaard, Jacob & Khodayar, Mohammad E., 2016. "Trading strategies for distribution company with stochastic distributed energy resources," Applied Energy, Elsevier, vol. 177(C), pages 625-635.
    17. Gopinath Subramani & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Josep M. Guerrero, 2017. "Grid-Tied Photovoltaic and Battery Storage Systems with Malaysian Electricity Tariff—A Review on Maximum Demand Shaving," Energies, MDPI, vol. 10(11), pages 1-17, November.
    18. Francesc Girbau-LListuella & Francisco Díaz-González & Andreas Sumper, 2017. "Optimization of the Operation of Smart Rural Grids through a Novel Energy Management System," Energies, MDPI, vol. 11(1), pages 1-28, December.
    19. Kim, Insu, 2018. "Optimal capacity of storage systems and photovoltaic systems able to control reactive power using the sensitivity analysis method," Energy, Elsevier, vol. 150(C), pages 642-652.
    20. Parra, David & Swierczynski, Maciej & Stroe, Daniel I. & Norman, Stuart.A. & Abdon, Andreas & Worlitschek, Jörg & O’Doherty, Travis & Rodrigues, Lucelia & Gillott, Mark & Zhang, Xiaojin & Bauer, Chris, 2017. "An interdisciplinary review of energy storage for communities: Challenges and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 730-749.

    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:appene:v:146:y:2015:i:c:p:313-327. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.