PMU based Real Time Load Modeling for the University Load
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 assuming the data acquired from the sample system in the real time simulator as the practical measurement data. The performances of modeling real and reactive power behaviors using exponential and ZIP load model are evaluated.
Load modeling measurement-based approach parameter estimation PMU
KyeHo JON SangWook HAN ByongJun LEE HwaChang SONG HongRae KIM
School of Electrical Engineering at Korea University, Seoul, 136-701 Republic of Korea Seoul National University of Technology Department of Electronic Information Engineering, Soonchunhyang University, Asan, Korea
国际会议
The International Conference on Electrical Engineering 2009(2009 电机工程国际会议)
沈阳
英文
1-6
2009-07-05（万方平台首次上网日期，不代表论文的发表时间）