Tianling Shi;Xin Xiang;Boxin Liu;Fei Wang;Wuhua Li;Xiangning He
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引用次数: 0
Abstract
Detection time is the core indicator of the islanding detection method with positive feedback power disturbance (PFPD) for dc microgrid, which determines the speed and effectiveness of the detection. However, the PFPD-based system presents high-order characteristics due to the employment of a high-pass filter, making it hard to analyze in the time domain. The existing studies rely on the frequency domain to indirectly constrain the range of positive feedback parameters, which may make the detection speed cannot be designed accurately and even lead to detection failure. In this letter, the equivalent control model of the distributed generator is developed to reveal the limitation of the conventional frequency domain-based parameter design method. Then, the dynamics model of the voltage at the point of common coupling is analyzed and simplified to describe the time domain oscillation trajectory triggered by the islanding event. Furthermore, a detection time calculation method based on voltage envelope is proposed to constrain the islanding detection parameters, and its effectiveness and advantages are validated by experiments. This method quantitatively and intuitively characterizes the constraints of detection time on positive feedback parameters, and it provides good insight into the detection control optimization and detection speed improvement.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.