Mai Hoa Vuong

Publications (5)1.35 Total impact

• Article: Multilayer resistivity interpretation and error estimation using electrostatic images

  P.J. Lagace, Mai Hoa Vuong, M. Lefebvre, J. Fortin
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  ABSTRACT: This paper presents a method for generating groups of electrostatic images for the estimation of soil parameters in the case of multilayered horizontal soil. The method can be utilized for the interpretation of resistivity sounding measurements of stratified soil. The maximum errors of the calculated resistivity values can also be estimated and are used to validate the soil model. Errors and variations in apparent resistivity values used in the interpretation process can originate from slow convergence in calculations or variations during field measurements, such as local fluctuations in soil resistivity at points of measurements and instruments precision. An estimation of the effect of these variations on the calculated soil model parameters can be used to provide a confidence level in the results. This paper demonstrates the necessity of evaluating the sensitivity of the soil parameters and proposes methods of estimating a confidence level in the soil model. Confidence levels are also used to delimit boundaries during geophysical inversion with respect to the information available in the field measurements. Simulation results are presented for three-layer soil
  IEEE Transactions on Power Delivery 11/2006; · 1.35 Impact Factor
• Conference Proceeding: Redundancy in topology errors detection and identification

  Mai-Hoa Vuong, S. Lefebvre, P.-J. Lagace
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  ABSTRACT: Without redundancy of independent measurements, detection and thus identification of gross errors are impossible. Lack of redundancy forces the use of pseudo-measurements, as a consequence the state estimator solution is deteriorated. Therefore, the redundancy level of the measurement system is an evolving concept that can be used to guide the reinforcement of measurement systems to enhance the efficiency of error detection methods. Topology error results in wrong network configuration of the model used. In this paper, the errors treated are a line that is out of service and still connected to the model, or vice-versa. The method proposed in the paper is aimed at determining redundant and good pseudo-measurement emplacements to enhance reliability of detection and identification of topology error. The basic process was developed earlier by the authors. The algorithm requires one line flow and one power injection by loop. Its effectiveness is related to the low number of redundant measurement and the systematic selection of their location as well as that of pseudo-measurements. Test results are presented.
  Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on; 01/2005
• Conference Proceeding: A review of methods for topology errors detection

  Mai Hoa Vuong, S. Lefebvre, Xuan Dai Do
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  ABSTRACT: A review of methods for detecting topology errors in energy management systems applications is presented. The methods range from pre-processing consistency checks to those linked to a state estimator solution. The methods selected are tested on several networks and they are evaluated in terms of reliability, accuracy and ease of implementation.
  Transmission and Distribution Conference and Exposition, 2003 IEEE PES; 10/2003
• Conference Proceeding: Detection and estimation of topology and parameter errors from real-time measurements

  Mai Hoa Vuong, S. Lefebvre, Xuan Dai Do
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  ABSTRACT: This paper deals with the detection and correction of topology and modeling errors in power system state estimation. The proposed method partitions the network into loops. Then anomalies-sensitive measurements are used to diagnose realtime data and the power system model. Finally the method is demonstrated on a real network.
  Power Engineering Society Summer Meeting, 2002 IEEE; 08/2002
• Conference Proceeding: Detection and identification of topological errors from real-time measurements reconciliation

  Mai Hoa Vuong, S. Lefebvre, Xuan Dai Do
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  ABSTRACT: State estimation assumes that measurement errors are statistically small, that data redundancy is adequate in number, type and topological distribution of measurements. Furthermore, network configuration and parameters are assumed known. Frequently, these hypotheses are not true. Topology errors result from errors in the status of the circuit breakers associated with a network branch such as a line, a transformer, a shunt capacitor, or a bus tie. In this paper, network configuration and parameter errors are addressed and an identification procedure is demonstrated.
  Power Engineering Society Winter Meeting, 2002. IEEE; 02/2002