Parameter Identification on Induction Motor Load using Measured Data

概要

論文の詳細を見る
Although loads dynamic behavior is well known to affect power system stability significantly, loads dynamics itself is not well known. As a result, power system stability assessment is very far from sufficient accuracy even today in 21st century. Structure of existing power system load is assumed to be parallel composite of induction motor (IM) and constant impedance (CZ) behind a series reactance. Three parameters: IM ratio, inertia, and loading are identified by measured data using least square error method. The series reactance is identified by system aggregation method considering temporary system structure, and about 17% at peak load demand in studied 9 pure load areas. Effects by temporary included local generators can be corrected. Using 594 measured data of voltage sag accompanying network faults, the three parameters: IM ratio, inertia, and loading are identified as 55%, 0.6 second, and 70% respectively at summer peak demand when the voltage stability will become the worth. The parameters are slightly affected by season, demand, and area. All three parameters very slowly decrease by year.
社団法人電気学会の論文
2010-07-01