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Distribution system reconfiguration for loss reduction incorporating load and renewable generation uncertainties

Abbaskhani Davanloo, A ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/TPEC.2019.8662154
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. A significant share of losses in power systems occurs in distribution network due to lower voltages and longer lines. On top of that, unbalanced operation causes additional losses in these networks. In recent years with the development of distributed generation connected to the distribution grid, the concern over frequency and intensity of unbalanced operation has risen. Reconfiguration of these distribution networks plays a significant role in power loss minimization and voltage quality enhancement. The uncertainty regarding grid-connected DG resources and net loads are among the critical factors that must be taken into account. To do so, in this paper a novel Fuzzy-based reconfiguration method is proposed to improve the hourly power loss in distribution systems incorporating load and renewable generation uncertainties. In addition, a modified Genetic Algorithm is employed in order to maintain the radial structure of the network and reduce the computation time of the proposed technique. To illustrate the effectiveness of the proposed method, a simulation based analysis is carried out on IEEE 33 bus distribution system. © 2019 IEEE
  6. Keywords:
  7. Distributed Generations ; Generation Uncertainties ; Genetic algorithms ; Distribution system reconfiguration ; Distribution systems ; Generation uncertainty ; Loss reduction ; Modified genetic algorithms ; Power loss minimizations ; Simulation-based analysis ; Unbalanced operations ; Distributed power generation
  8. Source: 2019 IEEE Texas Power and Energy Conference, TPEC 2019, 7 February 2019 through 8 February 2019 ; 2019 ; 9781538692844 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8662154