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A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment

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  • Zeng, Bo
  • Wen, Junqiang
  • Shi, Jinyue
  • Zhang, Jianhua
  • Zhang, Yuying

Abstract

Increasing penetration of renewable distributed generation accentuates the need of active distribution system. However, under the unbundling environment, the conflicting interests between different market participants create hurdles for efficient exploitation of renewable energy sources. To address this issue, we develop a multi-level optimization approach for active distribution system planning, with the purpose of best coordinating the target of renewable energy harvest with the benefits of individuals. The proposed model considers the decision-making of utility under the constraints by the reaction of distributed generation owner as well as the system operational characteristics. It collectively determines the optimal solution concerning network reinforcement, reserve and renewable generation deployment. Furthermore, demand response has been considered as an additional active network management scheme in this work and the uncertainties of renewable generation and load responsiveness are also accounted for. Numerical results based on a 33-bus distribution system verify the effectiveness of the proposed method.

Suggested Citation

  • Zeng, Bo & Wen, Junqiang & Shi, Jinyue & Zhang, Jianhua & Zhang, Yuying, 2016. "A multi-level approach to active distribution system planning for efficient renewable energy harvesting in a deregulated environment," Energy, Elsevier, vol. 96(C), pages 614-624.
    • Handle: RePEc:eee:energy:v:96:y:2016:i:c:p:614-624
    DOI: 10.1016/j.energy.2015.12.070
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    9. Monadi, Mehdi & Zamani, M. Amin & Koch-Ciobotaru, Cosmin & Candela, Jose Ignacio & Rodriguez, Pedro, 2016. "A communication-assisted protection scheme for direct-current distribution networks," Energy, Elsevier, vol. 109(C), pages 578-591.
    10. Senthil Kumar, J. & Charles Raja, S. & Jeslin Drusila Nesamalar, J. & Venkatesh, P., 2018. "Optimizing renewable based generations in AC/DC microgrid system using hybrid Nelder-Mead – Cuckoo Search algorithm," Energy, Elsevier, vol. 158(C), pages 204-215.
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    13. Wang, Delu & Liu, Yifei & Wang, Yadong & Shi, Xunpeng & Song, Xuefeng, 2020. "Allocation of coal de-capacity quota among provinces in China: A bi-level multi-objective combinatorial optimization approach," Energy Economics, Elsevier, vol. 87(C).
    14. Pappachen, Abhijith & Peer Fathima, A., 2017. "Critical research areas on load frequency control issues in a deregulated power system: A state-of-the-art-of-review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 163-177.
    15. Ilia Shushpanov & Konstantin Suslov & Pavel Ilyushin & Denis N. Sidorov, 2021. "Towards the Flexible Distribution Networks Design Using the Reliability Performance Metric," Energies, MDPI, vol. 14(19), pages 1-24, September.
    16. Zeng, Bo & Feng, Jiahuan & Zhang, Jianhua & Liu, Zongqi, 2017. "An optimal integrated planning method for supporting growing penetration of electric vehicles in distribution systems," Energy, Elsevier, vol. 126(C), pages 273-284.
    17. 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.
    18. Moradijoz, M. & Moghaddam, M. Parsa & Haghifam, M.R., 2018. "A flexible active distribution system expansion planning model: A risk-based approach," Energy, Elsevier, vol. 145(C), pages 442-457.

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