Model Prediction Control based on System Identification for Photovoltaic Grid-Connected Inverter Control
This paper propose a model predictive control of PV grid-connected inverter based on system identification. The single phase inverter is experimented and its model is determined by using System identification approach with Hammerstein-Wiener model. The derived nonlinear voltage model has accuracy more around 97.34％ and it is transformed to the state space model by linearization. A simulation of model based controller uses the discrete time model of inverter to predict the behavior of the output voltage for each possible switching state every sampling time. Then cost function is applied as a criterion for selecting the most suitable switching state for the next sampling interval. The model output is compared with the reference sine wave reference voltage reference and the error is feedback to the optimizer. Simulation results shown that the proposed control scheme can achieve the output target with 97％ accuracy.
model predictive control system identification grid-connected inverter
N. Patcharaprakiti K. Kirtikara D. Chenvidhya V.Monyakul A. Sangswang J. Saelao
School of Energy Environment and Material King Mongkuts University of Technology Thonburi, Bangkok, Department of Electrical Engineering King Mongkuts University of Technology Thonburi, Bangkok, Thai Department of Mathematic King Mongkuts University of Technology Thonburi, Bangkok, Thailand
国际会议
重庆
英文
533-537
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）