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Stochastic multi-stage multi-objective expansion of renewable resources and electrical energy storage units in distribution systems considering crypto-currency miners and responsive loads

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  • Tabar, Vahid Sohrabi
  • Banazadeh, Hamidreza
  • Tostado-Véliz, Marcos
  • Jordehi, Ahmad Rezaee
  • Nasir, Mohammad
  • Jurado, Francisco

Abstract

In order to mitigate the influence of global warming and greenhouse gasses emission, different proceedings are suggested such as utilizing renewable energies and demand response programs. This paper investigates the expansion of renewable resources and electrical energy storage units in distribution systems towards reducing investment costs and environmental pollution. Since the development of components is not possible in a single-stage due to the limitation of staff and funds, a multi-stage programming is applied to consider various restrictions. According to the penetration of crypto-currency miners in recent years, their impact is evaluated on the problem as the high-rate energy consumers. Moreover, the demand side management strategy and risk-averse scenario-based approach are implemented to analyze the role of responsive loads and model the renewable resources uncertainty, respectively. The results approve that simultaneous expansion of wind turbines, photovoltaics and electrical storage systems decreases the total pollution and cost by 100% and 99.98% after the third year, respectively. The simulations also validate that crypto-currency miners reduce the total revenue by 4.16%, whereas the responsive loads increase it by 9.89%. As well, the fluctuations of wind and solar power decrease the total revenue by 13.27%, in return, the robustness notably improves.

Suggested Citation

  • Tabar, Vahid Sohrabi & Banazadeh, Hamidreza & Tostado-Véliz, Marcos & Jordehi, Ahmad Rezaee & Nasir, Mohammad & Jurado, Francisco, 2022. "Stochastic multi-stage multi-objective expansion of renewable resources and electrical energy storage units in distribution systems considering crypto-currency miners and responsive loads," Renewable Energy, Elsevier, vol. 198(C), pages 1131-1147.
    • Handle: RePEc:eee:renene:v:198:y:2022:i:c:p:1131-1147
    DOI: 10.1016/j.renene.2022.08.119
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    References listed on IDEAS

    as
    1. Barati, Fatemeh & Jadid, Shahram & Zangeneh, Ali, 2019. "Private investor-based distributed generation expansion planning considering uncertainties of renewable generations," Energy, Elsevier, vol. 173(C), pages 1078-1091.
    2. Vasiliki Vita, 2017. "Development of a Decision-Making Algorithm for the Optimum Size and Placement of Distributed Generation Units in Distribution Networks," Energies, MDPI, vol. 10(9), pages 1-13, September.
    3. Tabar, Vahid Sohrabi & Abbasi, Vahid, 2019. "Energy management in microgrid with considering high penetration of renewable resources and surplus power generation problem," Energy, Elsevier, vol. 189(C).
    4. Chen, Siyuan & Liu, Pei & Li, Zheng, 2019. "Multi-regional power generation expansion planning with air pollutants emission constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 382-394.
    5. Fitiwi, Desta Z. & Lynch, Muireann & Bertsch, Valentin, 2020. "Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    6. Canizes, Bruno & Soares, João & Lezama, Fernando & Silva, Cátia & Vale, Zita & Corchado, Juan M., 2019. "Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation," Renewable Energy, Elsevier, vol. 138(C), pages 937-954.
    7. Fitiwi, Desta Z. & Lynch, Muireann & Bertsch, Valentin, 2020. "Power system impacts of community acceptance policies for renewable energy deployment under storage cost uncertainty," Renewable Energy, Elsevier, vol. 156(C), pages 893-912.
    8. He, Shuaijia & Gao, Hongjun & Chen, Zhe & Liu, Junyong & Zhao, Liang & Wu, Gang & Xu, Song, 2022. "Low-carbon distribution system planning considering flexible support of zero-carbon energy station," Energy, Elsevier, vol. 244(PB).
    9. Varasteh, Farid & Nazar, Mehrdad Setayesh & Heidari, Alireza & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Distributed energy resource and network expansion planning of a CCHP based active microgrid considering demand response programs," Energy, Elsevier, vol. 172(C), pages 79-105.
    10. Wang, Jueying & Hu, Zhijian & Xie, Shiwei, 2019. "Expansion planning model of multi-energy system with the integration of active distribution network," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Xie, Shiwei & Hu, Zhijian & Wang, Jueying, 2020. "Two-stage robust optimization for expansion planning of active distribution systems coupled with urban transportation networks," Applied Energy, Elsevier, vol. 261(C).
    12. Saber, Hossein & Moeini-Aghtaie, Moein & Ehsan, Mehdi, 2018. "Developing a multi-objective framework for expansion planning studies of distributed energy storage systems (DESSs)," Energy, Elsevier, vol. 157(C), pages 1079-1089.
    13. Tabar, Vahid Sohrabi & Jirdehi, Mehdi Ahmadi & Hemmati, Reza, 2017. "Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option," Energy, Elsevier, vol. 118(C), pages 827-839.
    14. Chun Wei & Xiangzhi Xu & Youbing Zhang & Xiangshan Li, 2019. "A Survey on Optimal Control and Operation of Integrated Energy Systems," Complexity, Hindawi, vol. 2019, pages 1-14, December.
    15. Rastgou, Abdollah & Moshtagh, Jamal & Bahramara, Salah, 2018. "Improved harmony search algorithm for electrical distribution network expansion planning in the presence of distributed generators," Energy, Elsevier, vol. 151(C), pages 178-202.
    16. Li, Tianxiao & Li, Zheng & Li, Weiqi, 2020. "Scenarios analysis on the cross-region integrating of renewable power based on a long-period cost-optimization power planning model," Renewable Energy, Elsevier, vol. 156(C), pages 851-863.
    17. Fan, Vivienne Hui & Dong, Zhaoyang & Meng, Ke, 2020. "Integrated distribution expansion planning considering stochastic renewable energy resources and electric vehicles," Applied Energy, Elsevier, vol. 278(C).
    18. Paes, Carlos Eduardo & Gandelman, Dan Abensur & Firmo, Heloisa Teixeira & Bahiense, Laura, 2022. "The power generation expansion planning in Brazil: Considering the impact of greenhouse gas emissions in an Investment Decision Model," Renewable Energy, Elsevier, vol. 184(C), pages 225-238.
    19. Tabandeh, Abbas & Hossain, M.J. & Li, Li, 2022. "Integrated multi-stage and multi-zone distribution network expansion planning with renewable energy sources and hydrogen refuelling stations for fuel cell vehicles," Applied Energy, Elsevier, vol. 319(C).
    20. Hou, Jin & Xu, Peng & Lu, Xing & Pang, Zhihong & Chu, Yiyi & Huang, Gongsheng, 2018. "Implementation of expansion planning in existing district energy system: A case study in China," Applied Energy, Elsevier, vol. 211(C), pages 269-281.
    21. Xie, Shiwei & Hu, Zhijian & Zhou, Daming & Li, Yan & Kong, Shunfei & Lin, Weiwei & Zheng, Yunfei, 2018. "Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network," Applied Energy, Elsevier, vol. 219(C), pages 207-225.
    22. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    23. Lei, Yang & Wang, Dan & Jia, Hongjie & Chen, Jingcheng & Li, Jingru & Song, Yi & Li, Jiaxi, 2020. "Multi-objective stochastic expansion planning based on multi-dimensional correlation scenario generation method for regional integrated energy system integrated renewable energy," Applied Energy, Elsevier, vol. 276(C).
    24. Sun, Yanlong & Kang, Chongqing & Xia, Qing & Chen, Qixin & Zhang, Ning & Cheng, Yaohua, 2017. "Analysis of transmission expansion planning considering consumption-based carbon emission accounting," Applied Energy, Elsevier, vol. 193(C), pages 232-242.
    25. Baringo, Luis & Boffino, Luigi & Oggioni, Giorgia, 2020. "Robust expansion planning of a distribution system with electric vehicles, storage and renewable units," Applied Energy, Elsevier, vol. 265(C).
    26. Robinius, Martin & Raje, Tanmay & Nykamp, Stefan & Rott, Tobias & Müller, Martin & Grube, Thomas & Katzenbach, Burkhard & Küppers, Stefan & Stolten, Detlef, 2018. "Power-to-Gas: Electrolyzers as an alternative to network expansion – An example from a distribution system operator," Applied Energy, Elsevier, vol. 210(C), pages 182-197.
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