Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling(Numerical Analysis and Optimization)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2007-12-01

著者

• Baek Seung-mook

  School Of Electrical And Electronic Engineering Yonsei University

• PARK Jung-Wook

  School of Electrical and Electronic Engineering, Yonsei University

• Moon Young-hyun

  School Of Electrical And Electronic Engineering Yonsei University

• Park Jung-wook

  School Of Electrical And Electronic Engineering Yonsei University

• LEE Soon

  School of Electrical and Electronic Engineering, Yonsei University

• Lee Soon

  School Of Electrical And Electronic Engineering Yonsei University

関連論文

• Hybrid System Based Interpolation Line Search Optimization Applied to Nonlinear Controller in a Power Network(Hybrid Dynamical Systems,Concurrent/Hybrid Systems: Theory and Applications)
• Kalman-Filter Based Estimation of Electric Load Composition with Non-ideal Transformer Modeling(Numerical Analysis and Optimization)
• First Derivatives Estimation of Nonlinear Parameters in Hybrid System(Concurrent Systems)
• Hybrid System Based Nonlinear Least Squares Optimization Applied to a Multi-Machine Power System Control(Hybrid Dynamical Systems,Concurrent/Hybrid Systems: Theory and Applications)

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