TY - JOUR
T1 - An Estimation Method of Load Model Parameters for Harmonic Analysis
AU - Hayashi, Yasuhiro
AU - Matsuki, Junya
AU - Kobayashi, Kenichi
AU - Kanao, Norikazu
PY - 2005
Y1 - 2005
N2 - In order to devise countermeasures for harmonic disturbances and harmonic suppression in power systems effectively, it is necessary to develop a harmonic analysis approach with high accuracy. The major harmonic analysis approach is to recreate harmonic distribution in a power system model by using a simulation method. However, in order to carry out high accuracy estimation of the harmonic distribution using the simulation method, after creating a load model which consists of several parameters associated with the measured harmonic impedance, the optimal load model parameters must be determined. So far, appropriate load model parameters have been determined by trial and error. Therefore, a systematic approach to determine the optimal load model parameters is needed to estimate the measured harmonic impedance with high accuracy. In this paper, a determination method for the optimal load model parameters to estimate the measured harmonic impedance is proposed. The proposed method is based on Particle Swarm Optimization (PSO), which is one of optimization methods by using concept of swarm intelligence. In order to check the validity of the proposed method, the load model parameters estimated by the proposed method are evaluated using test data and filed data of Hokuriku electric power company.
AB - In order to devise countermeasures for harmonic disturbances and harmonic suppression in power systems effectively, it is necessary to develop a harmonic analysis approach with high accuracy. The major harmonic analysis approach is to recreate harmonic distribution in a power system model by using a simulation method. However, in order to carry out high accuracy estimation of the harmonic distribution using the simulation method, after creating a load model which consists of several parameters associated with the measured harmonic impedance, the optimal load model parameters must be determined. So far, appropriate load model parameters have been determined by trial and error. Therefore, a systematic approach to determine the optimal load model parameters is needed to estimate the measured harmonic impedance with high accuracy. In this paper, a determination method for the optimal load model parameters to estimate the measured harmonic impedance is proposed. The proposed method is based on Particle Swarm Optimization (PSO), which is one of optimization methods by using concept of swarm intelligence. In order to check the validity of the proposed method, the load model parameters estimated by the proposed method are evaluated using test data and filed data of Hokuriku electric power company.
KW - harmonic analysis
KW - harmonic impedance
KW - load model
KW - model parameters
KW - optimization method
KW - particle swarm optimization
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U2 - 10.1541/ieejpes.125.939
DO - 10.1541/ieejpes.125.939
M3 - Article
AN - SCOPUS:85024453043
VL - 125
SP - 939
EP - 947
JO - IEEJ Transactions on Power and Energy
JF - IEEJ Transactions on Power and Energy
SN - 0385-4213
IS - 10
ER -