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A Modified Genetic Based Technique for Solving the Power System State Estimation Problem
Abstract:Power system state estimation is the process of calculating a reliable estimate of the power system state vector composed of bus voltages' angles and magnitudes from telemetered measurements on the system. This estimate of the state vector provides the description of the system necessary for the operation and security monitoring. Many methods are described in the literature for solving the state estimation problem, the most important of which are the classical weighted least squares method and the nondeterministic genetic based method; however both showed drawbacks. In this paper a modified version of the genetic algorithm power system state estimation is introduced, Sensitivity of the proposed algorithm to genetic operators is discussed, the algorithm is applied to case studies and finally it is compared with the classical weighted least squares method formulation.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1074922Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1308
 Gu J., Clements K., Krumpholz G., Davis P., "The Solution of ill conditioned Power System State Estimation Problems via the Method of Peters and Wilkinson". Power Industry Computer Applications Conference Proceedings, Houston, May 1983, pp.239-246.
 Schweppe F.C. and Wildes J., "Power System Static-State Estimation, Part I: Exact Model", IEEE Transactions on Power Apparatus and Systems, Vol. PAS-89, January 1970, pp. 120-125.
 Schweppe F.C. and Rom D.B., "Power System Static-State Estimation, Part II: Approximate Model", IEEE Transactions on Power Apparatus and Systems, Vol. PAS-89, January 1970, pp.125-130.
 Schweppe F.C., "Power System Static-State Estimation, Part III: Implementation", IEEE Transactions on Power Apparatus and Systems, Vol. PAS-89, January 1970, pp. 130-135.
 Emtethal N.Abdallah, Amr A.Ghazala and Norhan Hanafy,"Power System State Estimation Using Genetic Algorithms", Proceedings of the tenth middle east power systems conference, December 2005,pp.669- 676.
 A. Abur and A. G. Exposito, "Power System State EstimationÔÇöTheory and Implementations", New York: Marcel Dekker, 2004, p.37.