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Probabilistic sizing of a low-carbon emission power system considering HVDC transmission and microgrid clusters

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  • Li, Bei
  • Li, Jiangchen

Abstract

Nowadays, large numbers of renewable energy generators have been installed world-widely to reduce carbon dioxide emissions. Hydrogen-based storage system has the largest energy density, which is with a great potential suitable to address the intermittence of these renewable energy outputs. In addition, the HVDC (high voltage direct current) transmission is often deployed to transmit the remote located abundant renewable energy resources to terminal consumers due to its lower losses. However, building a low-carbon emission power system through hydrogen-based microgrid clusters and the HVDC transmission still lacks investigations thus is an essential problem. In this paper, a probabilistic sizing methodology considering the uncertainties is developed. First, both the hydrogen-based storage system model and the HVDC model are analytically modeled. Second, a mixed integer programming optimal strategy is deployed to operate the hydrogen-based microgrid. Third, operation model of the renewable energy power station-HVDC transmission-IEEE 30 nodes network-microgrid clusters are presented. Last, the best sizing value for each component is obtained by a genetic algorithm. In addition, the uncertainties of the data profiles are modeled using scenario method. Within different scenarios, the probability density function of each sizing component is calculated. The results demonstrate that the sizing values based on the probabilistic method can reduce the adverse impacts of the uncertainties on the utility grids. Specifically, the mean value of the utility grid operation cost is reduced by 0.005 %-0.08 %.

Suggested Citation

  • Li, Bei & Li, Jiangchen, 2021. "Probabilistic sizing of a low-carbon emission power system considering HVDC transmission and microgrid clusters," Applied Energy, Elsevier, vol. 304(C).
    • Handle: RePEc:eee:appene:v:304:y:2021:i:c:s0306261921011004
    DOI: 10.1016/j.apenergy.2021.117760
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    1. Bozorgavari, Seyed Aboozar & Aghaei, Jamshid & Pirouzi, Sasan & Nikoobakht, Ahmad & Farahmand, Hossein & Korpås, Magnus, 2020. "Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    2. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Contreras, Javier, 2007. "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, Elsevier, vol. 32(7), pages 1102-1126.
    3. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    4. Li, Bei & Roche, Robin & Miraoui, Abdellatif, 2017. "Microgrid sizing with combined evolutionary algorithm and MILP unit commitment," Applied Energy, Elsevier, vol. 188(C), pages 547-562.
    5. Jung, Jaesung & Villaran, Michael, 2017. "Optimal planning and design of hybrid renewable energy systems for microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 180-191.
    6. Li, Bei & Roche, Robin & Paire, Damien & Miraoui, Abdellatif, 2017. "Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation," Applied Energy, Elsevier, vol. 205(C), pages 1244-1259.
    7. Nikpour, Ahmad & Nateghi, Abolfazl & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Day-ahead optimal bidding of microgrids considering uncertainties of price and renewable energy resources," Energy, Elsevier, vol. 227(C).
    8. Hannan, M.A. & Faisal, M. & Jern Ker, Pin & Begum, R.A. & Dong, Z.Y. & Zhang, C., 2020. "Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    9. Pierri, Erika & Binder, Ole & Hemdan, Nasser G.A. & Kurrat, Michael, 2017. "Challenges and opportunities for a European HVDC grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 427-456.
    10. Alassi, Abdulrahman & Bañales, Santiago & Ellabban, Omar & Adam, Grain & MacIver, Callum, 2019. "HVDC Transmission: Technology Review, Market Trends and Future Outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 530-554.
    11. Kong, Xiangyu & Liu, Dehong & Wang, Chengshan & Sun, Fangyuan & Li, Shupeng, 2020. "Optimal operation strategy for interconnected microgrids in market environment considering uncertainty," Applied Energy, Elsevier, vol. 275(C).
    12. Blakers, Andrew & Lu, Bin & Stocks, Matthew, 2017. "100% renewable electricity in Australia," Energy, Elsevier, vol. 133(C), pages 471-482.
    13. Saboori, Hedayat & Hemmati, Reza & Jirdehi, Mehdi Ahmadi, 2015. "Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems," Energy, Elsevier, vol. 93(P2), pages 2299-2312.
    14. Fioriti, Davide & Pintus, Salvatore & Lutzemberger, Giovanni & Poli, Davide, 2020. "Economic multi-objective approach to design off-grid microgrids: A support for business decision making," Renewable Energy, Elsevier, vol. 159(C), pages 693-704.
    15. Wang, Luhao & Zhang, Bingying & Li, Qiqiang & Song, Wen & Li, Guanguan, 2019. "Robust distributed optimization for energy dispatch of multi-stakeholder multiple microgrids under uncertainty," Applied Energy, Elsevier, vol. 255(C).
    16. Qiu, Jing & Zhao, Junhua & Yang, Hongming & Wang, Dongxiao & Dong, Zhao Yang, 2018. "Planning of solar photovoltaics, battery energy storage system and gas micro turbine for coupled micro energy grids," Applied Energy, Elsevier, vol. 219(C), pages 361-369.
    17. Grover-Silva, Etta & Girard, Robin & Kariniotakis, George, 2018. "Optimal sizing and placement of distribution grid connected battery systems through an SOCP optimal power flow algorithm," Applied Energy, Elsevier, vol. 219(C), pages 385-393.
    18. Yang, Jun & Su, Changqi, 2021. "Robust optimization of microgrid based on renewable distributed power generation and load demand uncertainty," Energy, Elsevier, vol. 223(C).
    19. Swaminathan, Siddharth & Pavlak, Gregory S. & Freihaut, James, 2020. "Sizing and dispatch of an islanded microgrid with energy flexible buildings," Applied Energy, Elsevier, vol. 276(C).
    20. Bianchi, Fernando D. & Domínguez-García, José Luis & Gomis-Bellmunt, Oriol, 2016. "Control of multi-terminal HVDC networks towards wind power integration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1055-1068.
    21. Zhou, Xiaoqian & Ai, Qian & Yousif, Muhammad, 2019. "Two kinds of decentralized robust economic dispatch framework combined distribution network and multi-microgrids," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    22. Mohamad, Farihan & Teh, Jiashen & Lai, Ching-Ming, 2021. "Optimum allocation of battery energy storage systems for power grid enhanced with solar energy," Energy, Elsevier, vol. 223(C).
    23. Jing Wu & Zhongfu Tan & Keke Wang & Yi Liang & Jinghan Zhou, 2021. "Research on Multi-Objective Optimization Model for Hybrid Energy System Considering Combination of Wind Power and Energy Storage," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
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    2. Fei Feng & Xin Du & Qiang Si & Hao Cai, 2022. "Hybrid Game Optimization of Microgrid Cluster (MC) Based on Service Provider (SP) and Tiered Carbon Price," Energies, MDPI, vol. 15(14), pages 1-22, July.
    3. Chen, Xiaoyuan & Jiang, Shan & Chen, Yu & Zou, Zhice & Shen, Boyang & Lei, Yi & Zhang, Donghui & Zhang, Mingshun & Gou, Huayu, 2022. "Energy-saving superconducting power delivery from renewable energy source to a 100-MW-class data center," Applied Energy, Elsevier, vol. 310(C).
    4. Andrei Stan & Sorina Costinaș & Georgiana Ion, 2022. "Overview and Assessment of HVDC Current Applications and Future Trends," Energies, MDPI, vol. 15(3), pages 1-25, February.
    5. Wu, Xiong & Cao, Binrui & Liu, Bingwen & Zhang, Ziyu & Wang, Xiuli, 2023. "Capacity planning of carbon-free microgrid with hydrogen storage considering robust short-term off-grid operation," Renewable Energy, Elsevier, vol. 202(C), pages 242-254.

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