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A Probabilistic Multi-Objective Model for Phasor Measurement Units Placement in the Presence of Line Outage

Author

Listed:
  • Yu Huang

    (Department of Automation, North China Electric Power University, Baoding 071000, China)

  • Shuqin Li

    (Department of Automation, North China Electric Power University, Baoding 071000, China)

  • Xinyue Liu

    (Department of Automation, North China Electric Power University, Baoding 071000, China)

  • Yan Zhang

    (Department of Automation, North China Electric Power University, Baoding 071000, China)

  • Li Sun

    (Key Lab of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China)

  • Kai Yang

    (Department of Automation, North China Electric Power University, Baoding 071000, China)

Abstract

Optimal phasor measurement units (PMU) placement was developed to determine the number and locations of PMUs on the premise of full observability of the whole network. In order to enhance reliability under contingencies, redundancy should also be considered beside the number of PMUs in optimal phasor measurement units placement problem. Thus, in this paper, a multi-objective model was established to consider the two conflicting components simultaneously, solved by ε-constraint method and the fuzzy satisfying approach. The redundancy here was formulated as average possibility of observability including random component outages, and full possibility formula was applied to calculate the average possibility of observability in the case of single line outage. Finally, the model was employed to the IEEE-57 bus system, and the results verified that the developed model could provide a placement scheme with higher reliability.

Suggested Citation

  • Yu Huang & Shuqin Li & Xinyue Liu & Yan Zhang & Li Sun & Kai Yang, 2019. "A Probabilistic Multi-Objective Model for Phasor Measurement Units Placement in the Presence of Line Outage," Sustainability, MDPI, vol. 11(24), pages 1-12, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:7097-:d:296688
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    References listed on IDEAS

    as
    1. Sun, Li & Shen, Jiong & Hua, Qingsong & Lee, Kwang Y., 2018. "Data-driven oxygen excess ratio control for proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 231(C), pages 866-875.
    2. Fazel Mohammadi & Gholam-Abbas Nazri & Mehrdad Saif, 2019. "A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    3. Su, Hongzhi & Wang, Chengshan & Li, Peng & Liu, Zhelin & Yu, Li & Wu, Jianzhong, 2019. "Optimal placement of phasor measurement unit in distribution networks considering the changes in topology," Applied Energy, Elsevier, vol. 250(C), pages 313-322.
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