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Measurement-based Static Load Modeling Using the PMU data Installed on the University Load

Han, Sang-Wook;Kim, Ji-Hun;Lee, Byong-Jun;Song, Hwa-Chang;Kim, Hong-Rae;Shin, Jeong-Hoon;Kim, Tae-Kyun

  • Received : 2011.07.05
  • Accepted : 2012.03.29
  • Published : 2012.09.01

Abstract

Load modeling has a significant influence on power system analysis and control. In recent years, measurement-based load modeling has been widely practiced. In the load modeling algorithm, the model structure is determined and the parameters of the established model are estimated. For parameter estimation, least-squares optimization method is applied. The model parameters are estimated so that the error between the measured values and the predicted values is to be minimized. By introducing sliding window concept, on-line load modeling method can be performed which reflects the dynamic behaviors of loads in real-time. For the purpose of data acquisition, the measurement system including PMU is implemented in university level. In this paper, case studies are performed using real PMU data from Korea Univ. and Seoul National University of Science and Technology. The performances of modeling real and reactive power behaviors using exponential and ZIP load model are evaluated.

Keywords

Load modeling;Measurement-based approach;Parameter estimation;PMU

References

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Cited by

  1. Study of the Effectiveness of a Korean Smart Transmission Grid Based on Synchro-Phasor Data of K-WAMS vol.4, pp.1, 2013, https://doi.org/10.1109/TSG.2013.2240321
  2. Development of the automatic load modelling system using PQM data on industry site vol.7, pp.1, 2017, https://doi.org/10.1080/22348972.2016.1158350

Acknowledgement

Supported by : National Research Foundation of Korea(NRF)