Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling
نویسندگان
چکیده
This paper presents a study to estimate the composition of an electric load, i.e. to determine the amount of each load class by the direct measurements of the total electric current waveform from instrument reading. Kalman filter algorithm is applied to estimate the electric load composition on a consumer side of a distributed power system. The electric load supplied from the different voltage level by using a non-ideal delta-wye transformer is also studied with consideration of the practical environment for a distributed power system. key words: electric load composition, Kalman filter, non-ideal transformer modeling, power quality, distributed power system
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عنوان ژورنال:
- IEICE Transactions
دوره 90-A شماره
صفحات -
تاریخ انتشار 2007