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Contribution of active management technologies to the reliability of power distribution networks

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  • Escalera, Alberto
  • Prodanović, Milan
  • Castronuovo, Edgardo D.
  • Roldan-Perez, Javier

Abstract

Active Network Management (ANM) technologies represent an effective tool for increasing the penetration of Distributed Generators (DGs) in electrical distribution systems. Under normal operating conditions, these technologies allow a massive integration of renewable generation without exceeding rated values of electrical equipment. In addition to that, these technologies can be used to restore the supply when there is a network outage, yet this additional use has been commonly neglected in reliability studies. In this paper a novel methodology to assess the contribution of ANM technologies to reliability of distribution networks is proposed. Technologies like renewable DGs with controllable output power, on-load tap-changers (OLTC) transformers, demand control solutions and soft open points (SOPs) are all included in the reliability study. Coordinated operation of these technologies during outages and performance of multi-terminal SOPs are also modelled and evaluated. The proposed methodology was tested on two distribution networks. The contribution of different ANM technologies to reliability was assessed and their benefits confirmed.

Suggested Citation

  • Escalera, Alberto & Prodanović, Milan & Castronuovo, Edgardo D. & Roldan-Perez, Javier, 2020. "Contribution of active management technologies to the reliability of power distribution networks," Applied Energy, Elsevier, vol. 267(C).
    • Handle: RePEc:eee:appene:v:267:y:2020:i:c:s0306261920304311
    DOI: 10.1016/j.apenergy.2020.114919
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    References listed on IDEAS

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    1. Escalera, Alberto & Hayes, Barry & Prodanović, Milan, 2018. "A survey of reliability assessment techniques for modern distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 344-357.
    2. Ji, Haoran & Wang, Chengshan & Li, Peng & Zhao, Jinli & Song, Guanyu & Wu, Jianzhong, 2018. "Quantified flexibility evaluation of soft open points to improve distributed generator penetration in active distribution networks based on difference-of-convex programming," Applied Energy, Elsevier, vol. 218(C), pages 338-348.
    3. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Operating principle of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 164(C), pages 245-257.
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    5. Li, Peng & Ji, Jie & Ji, Haoran & Song, Guanyu & Wang, Chengshan & Wu, Jianzhong, 2020. "Self-healing oriented supply restoration method based on the coordination of multiple SOPs in active distribution networks," Energy, Elsevier, vol. 195(C).
    6. Zhang, Lu & Shen, Chen & Chen, Ying & Huang, Shaowei & Tang, Wei, 2018. "Coordinated allocation of distributed generation, capacitor banks and soft open points in active distribution networks considering dispatching results," Applied Energy, Elsevier, vol. 231(C), pages 1122-1131.
    7. Wang, Chengshan & Song, Guanyu & Li, Peng & Ji, Haoran & Zhao, Jinli & Wu, Jianzhong, 2017. "Optimal siting and sizing of soft open points in active electrical distribution networks," Applied Energy, Elsevier, vol. 189(C), pages 301-309.
    8. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Benefits analysis of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 165(C), pages 36-47.
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    Cited by:

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    2. Ziad M. Ali & Ibrahim Mohamed Diaaeldin & Shady H. E. Abdel Aleem & Ahmed El-Rafei & Almoataz Y. Abdelaziz & Francisco Jurado, 2020. "Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty," Mathematics, MDPI, vol. 9(1), pages 1-31, December.

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