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Novel multi-objective phasor measurement unit placement for improved parallel state estimation in distribution network

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  • Ghadikolaee, Ebad Talebi
  • Kazemi, Ahad
  • Shayanfar, Heydar Ali

Abstract

Due to the lack of enough metering devices in the distribution networks compared with the transmission networks, it is burdensome to estimate the clustered distribution network state. This subject could lead to biased state estimation in the multi-area state estimation problem. This paper proposed a novel multi-objective function for phasor measurement unit placement involving all the state estimation error components (estimation error variance and estimation bias). The developed adaptive decision coefficients weighted different state quantities in the proposed function based on their contributions in the estimation error. The proposed objective function was compared with two known functions including minimizing estimation error variance and minimizing the maximum value of estimation deviation. The obtained results on IEEE 33 and UKGDS 356 node networks verified the effectiveness and comprehensiveness of the proposed method in clustered distribution networks.

Suggested Citation

  • Ghadikolaee, Ebad Talebi & Kazemi, Ahad & Shayanfar, Heydar Ali, 2020. "Novel multi-objective phasor measurement unit placement for improved parallel state estimation in distribution network," Applied Energy, Elsevier, vol. 279(C).
    • Handle: RePEc:eee:appene:v:279:y:2020:i:c:s0306261920312940
    DOI: 10.1016/j.apenergy.2020.115814
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    References listed on IDEAS

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    1. Zhao, Zhida & Yu, Hao & Li, Peng & Li, Peng & Kong, Xiangyu & Wu, Jianzhong & Wang, Chengshan, 2019. "Optimal placement of PMUs and communication links for distributed state estimation in distribution networks," Applied Energy, Elsevier, vol. 256(C).
    2. Wang, Xiaoxue & Wang, Chengshan & Xu, Tao & Meng, He & Li, Peng & Yu, Li, 2018. "Distributed voltage control for active distribution networks based on distribution phasor measurement units," Applied Energy, Elsevier, vol. 229(C), pages 804-813.
    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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    1. Sepideh Radhoush & Maryam Bahramipanah & Hashem Nehrir & Zagros Shahooei, 2022. "A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    2. Tang, Liangyu & Han, Yang & Zalhaf, Amr S. & Zhou, Siyu & Yang, Ping & Wang, Congling & Huang, Tao, 2024. "Resilience enhancement of active distribution networks under extreme disaster scenarios: A comprehensive overview of fault location strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
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    4. Song, Shaojian & Xiong, Hao & Lin, Yuzhang & Huang, Manyun & Wei, Zhinong & Fang, Zhi, 2022. "Robust three-phase state estimation for PV-Integrated unbalanced distribution systems," Applied Energy, Elsevier, vol. 322(C).

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