Applying Kalman filter on sensor noise cancelation in grid – connected inverter

Huy Minh Nguyen,Phuong Minh Le,Phuong Thanh Ho

doi:10.32508/stdj.v18i3.901

Abstract

This paper presents the control model of three phase grid- connected photovoltaic inverter based on the analysis of operating principle of two-stage conventional gridconnected inverter. The mathematical model of inverter under dq frame is set up and the overall control strategy of two-stage photovoltaic grid-connected inverter is proposed in this paper. To overcome the distortion general caused by switching effect on sensors, a Kalman filter is introduced. The control strategy was simulated on Matlab – Simulink to verify the steady and dynamic of model, improving the quality of electrical power to consumers.

Highlights

Nowadays fossil fuel is the main energy supplier of the worldwide economy, but the recognition of it as being a major cause of environmental problems makes the mankind to look for alternative resources in power generation [1].The control strategies applied to distributed systems become of high interest
The harmonics in grid voltages and noise in sensing circuit was canceled by a shunt active filter in paper [6]
Authors focus on two main problems, as designing the PI controller on dq frame and proposing a Kalman filter based on the inverter model to overcome the output voltage fluctuations caused by harmonics and sensor’s noise

Summary

INTRODUCTION

Nowadays fossil fuel is the main energy supplier of the worldwide economy, but the recognition of it as being a major cause of environmental problems makes the mankind to look for alternative resources in power generation [1]. The use of second order generalized integrators (SOGI) or linear kalman filters (LKF) has proven to be a more robust strategy for current control in strongly polluted networks [7] by processing voltages independently and even accounting for reduced order harmonics [8]. Authors focus on two main problems, as designing the PI controller on dq frame and proposing a Kalman filter based on the inverter model to overcome the output voltage fluctuations caused by harmonics and sensor’s noise

PROPOSED CONTROL STRUCTURE

KALMAN FILTER

SIMULATION RESULT

CONCLUSION