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An efficient mixed-integer linear formulation for long-term overhead lines maintenance scheduling in power distribution systems

Abiri Jahromi, A ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1109/TPWRD.2009.2028785
  3. Publisher: 2009
  4. Abstract:
  5. This paper presents an efficient mixed-integer linear formulation for long term maintenance schedule of overhead lines. The proposed formulation is based on risk management approach and utilizes the model of decoupled risk factors. The proposed methodology yields a significant computational saving comparing to the previously reported dynamic programming. Risk management approach enables the asset managers to consider the actual condition of electrical equipment and expected consequence of their failures. Furthermore, the decoupled risk strategy in conjunction with the mixed-integer linear programming formulation establishes a precise description of time-dependent deterioration failure rate and provides the ability to determine the most cost-effective maintenance scenario while satisfying the reliability constraints. The proposed approach is tested on the Roy Billinton Test System distribution feeders and a typical real size case study. The results presented show the accuracy and efficiency of the proposed approach. © 2009 IEEE
  6. Keywords:
  7. Asset managers ; Computational savings ; Distribution networks ; Electrical equipment ; Failure rate ; Linear formulation ; Long term ; Maintenance optimization ; Maintenance scenario ; Maintenance schedules ; Maintenance scheduling ; Mixed-integer linear programming ; Power distribution system ; Reliability constraints ; Risk factors ; Risk strategies ; Test systems ; Time-dependent deterioration ; Asset management ; Distributed parameter networks ; Dynamic programming ; Electric load distribution ; Linear programming ; Linearization ; Maintainability ; Optimization ; Overhead lines ; Risk analysis ; Risk management ; Risk perception ; Systems engineering ; Unmanned aerial vehicles (UAV) ; Integer programming
  8. Source: IEEE Transactions on Power Delivery ; Volume 24, Issue 4 , 2009 , Pages 2043-2053 ; 08858977 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/5235724