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Sensitivity Analysis of Method for Harmonic State Estimation in the Power System

In this paper, a new algorithm for harmonic state estimation in power systems is represented. The algorithm is based on node voltage method, Kron reduction matrix, modeling of power system in frequency domain using phase values and optimization genetic algorithm. The algorithm uses measured voltage and current harmonics as an input data, with partially known data about transmission network. Algorithm estimates RMS and angle values of voltage harmonics in the unmonitored part of power system. Sensitivity analysis of proposed algorithm was conducted on a case study of 110 kV transmission network. Admittance matrix of power system is identified by using genetic algorithm with an accuracy of 0.5%, while an error of harmonic voltage estimation is lower than 1.129%.

Power systems ; Power quality ; Harmonic estimation ; Kron reduction matrix ; Optimization Evaluation Genetic Algorithms ; Sensitivity analysis

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