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Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review

Author

Listed:
  • Leijiao Ge

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Yuanliang Li

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Yuanliang Li

    (Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC H3G 1M8, Canada)

  • Jun Yan

    (Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC H3G 1M8, Canada)

  • Yonghui Sun

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

Abstract

In order to meet the requirements of high-tech enterprises for high power quality, high-quality operation and maintenance (O&M) in smart distribution networks (SDN) is becoming increasingly important. As a significant element in enhancing the high-quality O&M of SDN, situation awareness (SA) began to excite the significant interest of scholars and managers, especially after the integration of intermittent renewable energy into SDN. Specific to high-quality O&M, the paper decomposes SA into three stages: detection, comprehension, and projection. In this paper, the state-of-the-art knowledge of SND SA is discussed, a review of critical technologies is presented, and a five-layer visualization framework of the SDN SA is constructed. SA detection aims to improve the SDN observability, SA comprehension is associated with the SDN operating status, and SA projection pertains to the analysis of the future SDN situation. The paper can provide researchers and utility engineers with insights into the technical achievements, barriers, and future research directions of SDN SA.

Suggested Citation

  • Leijiao Ge & Yuanliang Li & Yuanliang Li & Jun Yan & Yonghui Sun, 2022. "Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review," Energies, MDPI, vol. 15(3), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:828-:d:731935
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    Citations

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    Cited by:

    1. Cong Wang, 2023. "Low-carbon transition toward green recovery: policy framework after COVID-19," Economic Change and Restructuring, Springer, vol. 56(5), pages 3117-3137, October.
    2. Weng, Xuemeng & Xuan, Ping & Heidari, Ali Asghar & Cai, Zhennao & Chen, Huiling & Mansour, Romany F. & Ragab, Mahmoud, 2023. "A vertical and horizontal crossover sine cosine algorithm with pattern search for optimal power flow in power systems," Energy, Elsevier, vol. 271(C).
    3. Leijiao Ge & Jun Yan & Yonghui Sun & Zhongguan Wang, 2022. "Situational Awareness for Smart Distribution Systems," Energies, MDPI, vol. 15(11), pages 1-3, June.
    4. Tianlei Zang & Zian Wang & Xiaoguang Wei & Yi Zhou & Jiale Wu & Buxiang Zhou, 2023. "Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory," Energies, MDPI, vol. 16(18), pages 1-38, September.
    5. Yunhai Song & Sen He & Liwei Wang & Zhenzhen Zhou & Yuhao He & Yaohui Xiao & Yi Zheng & Yunfeng Yan, 2023. "Anomaly Perception Method of Substation Scene Based on High-Resolution Network and Difficult Sample Mining," Sustainability, MDPI, vol. 15(18), pages 1-13, September.
    6. Xi He & Heng Dong & Wanli Yang & Wei Li, 2023. "Multi-Source Information Fusion Technology and Its Application in Smart Distribution Power System," Sustainability, MDPI, vol. 15(7), pages 1-16, April.
    7. Hai, Tao & Zoghi, Mohammad & Abed, Hooman & Chauhan, Bhupendra Singh & Ahmed, Ahmed Najat, 2023. "Exergy-economic study and multi-objective optimization of a geothermal-based combined organic flash cycle and PEMFC for poly-generation purpose," Energy, Elsevier, vol. 268(C).
    8. Junjun Xu & Yulong Jin & Tao Zheng & Gaojun Meng, 2023. "On State Estimation Modeling of Smart Distribution Networks: A Technical Review," Energies, MDPI, vol. 16(4), pages 1-19, February.
    9. Rasheed Abdulkader & Hayder M. A. Ghanimi & Pankaj Dadheech & Meshal Alharbi & Walid El-Shafai & Mostafa M. Fouda & Moustafa H. Aly & Dhivya Swaminathan & Sudhakar Sengan, 2023. "Soft Computing in Smart Grid with Decentralized Generation and Renewable Energy Storage System Planning," Energies, MDPI, vol. 16(6), pages 1-24, March.
    10. Takele Ferede Agajie & Ahmed Ali & Armand Fopah-Lele & Isaac Amoussou & Baseem Khan & Carmen Lilí Rodríguez Velasco & Emmanuel Tanyi, 2023. "A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems," Energies, MDPI, vol. 16(2), pages 1-26, January.
    11. Monirul Islam Miskat & Protap Sarker & Hemal Chowdhury & Tamal Chowdhury & Md Salman Rahman & Nazia Hossain & Piyal Chowdhury & Sadiq M. Sait, 2023. "Current Scenario of Solar Energy Applications in Bangladesh: Techno-Economic Perspective, Policy Implementation, and Possibility of the Integration of Artificial Intelligence," Energies, MDPI, vol. 16(3), pages 1-27, February.
    12. Xu, Jialong & Moslehpour, Massoud & Tran, Trung Kien & Dinh, Khai Cong & Ngo, Thanh Quang & Huy, Pham Quang, 2023. "The role of institutional quality, renewable energy development and trade openness in green finance: Empirical evidence from South Asian countries," Renewable Energy, Elsevier, vol. 207(C), pages 687-692.

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