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A non-iterative approach for AC state estimation using line flow based model

Safdarian, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijepes.2012.06.057
  3. Abstract:
  4. One of the underlying requirements in the present energy management systems (EMSs) is to have a complete understanding of the system status. This feature is realized via state estimation (SE) engine. This paper presents a new and efficient SE approach which leads to a desirable outcome using a non-iterative calculation. The proposed model is based on a new AC power flow formulation designated as the line flow based (LFB) model. The objective function is to minimize the weighted least square of measurement residuals. The developed method adopts the line flows and square of voltage magnitudes as the problem state variables and incorporates both active and reactive power quantities. The transmission system losses are considered and linearized using the efficient piecewise linearization approach. Numerical analyses are conducted through two case studies. For the sake of comparison and validation, the conventional SE in both Gauss-Newton AC and DC versions are accommodated. Simulation results reveal that the proposed method outperforms the conventional AC-SE from the execution time viewpoint while keeping the accuracy of the results. A variety of sensitivity analyses are performed to demonstrate the effectiveness of the method in different conditions
  5. Keywords:
  6. Line flow based (LFB) power flow model ; State estimation (SE) ; Weighted least square (WLS) ; AC power flow ; Energy management system ; Execution time ; Gauss-Newton ; Line flows ; Measurement residual ; Non-iterative ; Objective functions ; Piecewise linearization ; Power flow model ; State variables ; System status ; Transmission systems ; Voltage magnitude ; Energy management ; Linearization ; Numerical analysis
  7. Source: International Journal of Electrical Power and Energy Systems ; Volume 43, Issue 1 , 2012 , pages 1413-1420 ; 1420615 (ISSN)
  8. URL: http://www.sciencedirect.com/science/article/pii/S0142061512003195