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A design algorithm for an electric power system using wide-area interconnection of renewable energy

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  • Okada, Masaki
  • Onishi, Terumi
  • Obara, Shin’ya

Abstract

This study aims to study the utilization factor of an electricity transmission network by determining the optimal installation of renewable energy technologies and heat pumps that store heat. The proposed model considers the electricity demand, heat load, and meteorological data with respect to each area of the transmission network and selects the type and capacity of renewable electricity sources in each area as well as the capacity of the required compensation electricity supply. The heat input and output of heat equipment and the amount of power supply of the transmission line were decided as each energy balance equilibrating. Therefore, an analysis method that uses genetic algorithm was introduced to achieve optimal operation planning. The proposed methodology is applied to the existing electric system in the island of Hokkaido, Japan, as a case study. Optimization of the arrangement and capacity of renewable electricity generation and transmission network increased the share of renewable energy from 11% to 33.8%. Furthermore, the transmission line utilization factor of the present transmission network improved from 14.5% to 41% when the installation location and capacity of renewable energy were optimized using the proposed methodology.

Suggested Citation

  • Okada, Masaki & Onishi, Terumi & Obara, Shin’ya, 2020. "A design algorithm for an electric power system using wide-area interconnection of renewable energy," Energy, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:energy:v:193:y:2020:i:c:s0360544219323333
    DOI: 10.1016/j.energy.2019.116638
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    References listed on IDEAS

    as
    1. Huang, Shaojun & Tang, Weichu & Wu, Qiuwei & Li, Canbing, 2019. "Network constrained economic dispatch of integrated heat and electricity systems through mixed integer conic programming," Energy, Elsevier, vol. 179(C), pages 464-474.
    2. Ayele, Getnet Tadesse & Mabrouk, Mohamed Tahar & Haurant, Pierrick & Laumert, Björn & Lacarrière, Bruno, 2019. "Optimal placement and sizing of heat pumps and heat only boilers in a coupled electricity and heating networks," Energy, Elsevier, vol. 182(C), pages 122-134.
    3. Zhang, Wei-qi & Zhang, Xin-yan & Huang, Shao-wei & Xia, Yu-kai & Fan, Xiao-chao & Mei, Sheng-wei, 2017. "Evolution of a transmission network with high proportion of renewable energy in the future," Renewable Energy, Elsevier, vol. 102(PB), pages 372-379.
    4. Qin, Chao & Yan, Qingyou & He, Gang, 2019. "Integrated energy systems planning with electricity, heat and gas using particle swarm optimization," Energy, Elsevier, vol. 188(C).
    5. 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.
    6. Ahn, Hyeunguk & Freihaut, James D. & Rim, Donghyun, 2019. "Economic feasibility of combined cooling, heating, and power (CCHP) systems considering electricity standby tariffs," Energy, Elsevier, vol. 169(C), pages 420-432.
    7. Schlachtberger, D.P. & Brown, T. & Schramm, S. & Greiner, M., 2017. "The benefits of cooperation in a highly renewable European electricity network," Energy, Elsevier, vol. 134(C), pages 469-481.
    8. Bizon, Nicu & Radut, Marin & Oproescu, Mihai, 2015. "Energy control strategies for the Fuel Cell Hybrid Power Source under unknown load profile," Energy, Elsevier, vol. 86(C), pages 31-41.
    9. Han, Seulki & Kim, Jiyong, 2019. "A multi-period MILP model for the investment and design planning of a national-level complex renewable energy supply system," Renewable Energy, Elsevier, vol. 141(C), pages 736-750.
    10. Castro-Santos, Laura & Garcia, Geuffer Prado & Simões, Teresa & Estanqueiro, Ana, 2019. "Planning of the installation of offshore renewable energies: A GIS approach of the Portuguese roadmap," Renewable Energy, Elsevier, vol. 132(C), pages 1251-1262.
    11. Sandberg, Eli & Kirkerud, Jon Gustav & Trømborg, Erik & Bolkesjø, Torjus Folsland, 2019. "Energy system impacts of grid tariff structures for flexible power-to-district heat," Energy, Elsevier, vol. 168(C), pages 772-781.
    12. Obara, Shin'ya & Ito, Yuji & Okada, Masaki, 2018. "Optimization algorithm for power-source arrangement that levels the fluctuations in wide-area networks of renewable energy," Energy, Elsevier, vol. 142(C), pages 447-461.
    13. Vorushylo, Inna & Keatley, Patrick & Shah, Nikhilkumar & Green, Richard & Hewitt, Neil, 2018. "How heat pumps and thermal energy storage can be used to manage wind power: A study of Ireland," Energy, Elsevier, vol. 157(C), pages 539-549.
    14. Åberg, Magnus & Lingfors, David & Olauson, Jon & Widén, Joakim, 2019. "Can electricity market prices control power-to-heat production for peak shaving of renewable power generation? The case of Sweden," Energy, Elsevier, vol. 176(C), pages 1-14.
    15. Pfeifer, Antun & Dobravec, Viktorija & Pavlinek, Luka & Krajačić, Goran & Duić, Neven, 2018. "Integration of renewable energy and demand response technologies in interconnected energy systems," Energy, Elsevier, vol. 161(C), pages 447-455.
    16. Hast, Aira & Rinne, Samuli & Syri, Sanna & Kiviluoma, Juha, 2017. "The role of heat storages in facilitating the adaptation of district heating systems to large amount of variable renewable electricity," Energy, Elsevier, vol. 137(C), pages 775-788.
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