ELM을 이용한 주거용 부하의 부하모델링 기법 개발

• Published in: 전기학회 논문지 P권, 61(1) Vol. 61; no. 1; pp. 29 - 34
• Main Authors: 정영택(Young-Taek Jung), 지평식(Pyeong-Shik Ji)
• Format: Journal Article
• Language: Korean
• Published: 대한전기학회 2012
• Subjects: 전기공학; Harmonics; Residential loads; Neural networks; ELM; Load modeling
• ISSN: 1229-800X; 2586-7792

Due to the increasing of nonlinear loads such as converters and inverters connected to the electric power distribution system, and extensive application of harmonic generation sources with power electronic devices, disturbance of the electric power system and its influences on industries have been continuously increasing. Thus, it is difficult to construct accurate load model for active and reactive power in environments with harmonics. In this research, we develop a load modeling method based on Extreme Learning Machine(ELM) with fast learning procedure for residential loads. Using data sets acquired from various residential loads, the proposed method has been intensively tested. As the experimental results, we confirm that the proposed method makes it possible to effective estimate active and reactive powers than conventional methods.