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Optimal DG placement and sizing based on MICP in radial distribution networks

Mousavi, M ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/SGC.2017.8308876
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. Electric distribution system is one of the most important parts of power systems owing to delivering electricity to consumers. The major amount of losses in a power system is in distribution level. Optimal distributed generation (DG) placement and sizing have a significant effect on power loss reduction in distribution systems. In this paper, a mixed integer conic programming (MICP) approach is presented to solve the problem of DG placement, sizing, and hourly generation with the aim of reducing power loss and costs in radial distribution systems. The costs include both investment and operational costs of DGs. Hourly load variations are considered in the model. To verify the effectiveness of the proposed solution approach, studies are carried out on the IEEE 33-bus distribution test system. © 2017 IEEE
  6. Keywords:
  7. DG sizing ; Distributed generation ; Optimal DG placement ; Radial distribution network ; Costs ; Distributed power generation ; Electric power transmission networks ; Integer programming ; Smart power grids ; Dg placements ; Dg sizings ; Distribution systems ; Electric distribution systems ; Mixed Integer Conic Programming ; Power loss reduction ; Radial distribution networks ; Radial distribution systems ; Distributed computer systems
  8. Source: IEEE Proceedings 2017 Smart Grid Conference, SGC 2017 ; Volume 2018-January , 2018 , Pages 1-6 ; 9781538642795 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8308876