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Line Loss Interval Algorithm for Distribution Network with DG Based on Linear Optimization under Abnormal or Missing Measurement Data

Author

Listed:
  • Chen Liang

    (Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Chang Chen

    (State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Weizhou Wang

    (Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China)

  • Xiping Ma

    (Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
    School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Yuying Li

    (State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Tong Jiang

    (State Key Laboratory of Alternative Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

Abstract

Data collection is more difficult in distribution network than transmission networks since the structure of distribution networks is more complex. As a result, data could be partly abnormal or missing, which cannot completely describe the operation status of distribution network. In addition, access of distributed generation (DG) to distribution network further aggravates the variability of power flow in distribution network. The traditional deterministic line loss calculation method has some limitations in accurately estimating the line loss of distribution network with DG. A line loss interval calculation method based on power flow calculation and linear optimization is proposed, considering abnormal data collection and distribution network power flow variability. The linear optimization model is established according to sensitivity of line loss to the injected power and sensitivity of transmission power of first branch to the injected power. Introducing the scheduling information into the optimization model, a reliable line loss fluctuation interval can be obtained which actual line loss locates. The effectiveness of the proposed algorithm is verified in IEEE 33-bus distribution network system.

Suggested Citation

  • Chen Liang & Chang Chen & Weizhou Wang & Xiping Ma & Yuying Li & Tong Jiang, 2022. "Line Loss Interval Algorithm for Distribution Network with DG Based on Linear Optimization under Abnormal or Missing Measurement Data," Energies, MDPI, vol. 15(11), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4158-:d:832258
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    References listed on IDEAS

    as
    1. Hu, Wei & Guo, Qiuting & Wang, Wei & Wang, Weiheng & Song, Shuhong, 2022. "Loss reduction strategy and evaluation system based on reasonable line loss interval of transformer area," Applied Energy, Elsevier, vol. 306(PB).
    2. Rastgou, Abdollah & Moshtagh, Jamal & Bahramara, Salah, 2018. "Improved harmony search algorithm for electrical distribution network expansion planning in the presence of distributed generators," Energy, Elsevier, vol. 151(C), pages 178-202.
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