Sensorless position sensing of switched reluctance motor (SRM) has been of great interests to researchers for reducing costs and increasing reliability of the system. The startup position estimation is a difficult task. This study presents a new method to estimate motor phase positions during startup. It is based on the general magnetic characteristics of the inductance profile in an SRM. All phase positions are estimated without using any specific magnetic information. The calculation is simple and can be implemented easily and executed efficiently in a microcontroller.
A large number of distributed photovoltaic access grids pose great challenges to the safe and stable operation of the grid. In view of the fact that the dispatching automation system does not realize the real-time acquisition and monitoring of low-voltage distributed photovoltaic data, this paper proposes the station estimation method as an auxiliary means for real-time acquisition of low-voltage distributed photovoltaic power plants, and estimates the comprehensive low-voltage distributed photovoltaic power plants through appropriate algorithms. Access. Through case analysis, the deviation between the estimated value and the measured value is basically controlled within 8%, which proves the accuracy of the estimated model. This method is of great significance for the power dispatching department to strengthen the operation monitoring and statistical management of distributed photovoltaics, and to reasonably arrange the dispatching plan and coordinate the power supply.
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