Transmission congestion management using distributed generation considering load uncertainty

Afkousi Paqaleh, M ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1109/APPEEC.2010.5449393
  3. Publisher: 2010
  4. Abstract:
  5. This Paper presents a model for optimal locating and sizing of Distributed Generation (DG) for congestion management in deregulated electricity market. For reducing the solution space a priority list of candidate buses is formed and then optimal placement and sizing of DG in potential buses is discussed. In order to incorporate stochastic nature of power system in this study, Monte-Carlo method is used to simulate the effect of uncertainty of loads and system on the optimal location and size of the DGs in the network. The proposed method is applied to IEEE Reliability Test System (RTS). The impacts of load uncertainty on optimum DG size and location are studied
  6. Keywords:
  7. Load uncertainty ; Monte-Carlo method ; Congestion management ; Deregulated electricity market ; Distributed Generation ; IEEE-reliability test system ; Optimal locations ; Optimal placements ; Power systems ; Priority list ; Solution space ; Stochastic nature ; Transmission congestion management ; Deregulation ; Electric power systems ; Galerkin methods ; Optimization ; Location
  8. Source: Asia-Pacific Power and Energy Engineering Conference, APPEEC, 28 March 2010 through 31 March 2010 ; March , 2010 ; 21574839 (ISSN) ; 9781424448135 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/5449393/?reload=true