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http://dx.doi.org/10.5370/KIEEP.2012.61.1.029

Development of ELM based Load Modeling Method for Residential Loads  

Jung, Young-Taek (한국전력공사)
Ji, Pyeong-Shik (한국교통대학교 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.61, no.1, 2012 , pp. 29-34 More about this Journal
Abstract
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.
Keywords
Load modeling; ELM; Residential loads; Harmonics; Neural networks;
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