AN IMPROVED ACTIVE PHASE-SHIFT ISLANDING DETECTION METHOD BASED ON FUZZY ADAPTIVE PID ALGORITHM

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Abstract

In the process of islanding detection, the traditional positive feedback active frequency shift method takes a long time and affects the power quality. The islanding detection characteristics and detection principle of photovoltaic microgrid are analysed. Combined with the fuzzy adaptive PID detection, the feedback parameters are adjusted according to the frequency deviation and deviation change PCC rate to improve the islanding detection efficiency. A fuzzy adaptive PID control algorithm is used to optimise the feedback coefficient in real time. To meet the requirement that the detection error increases due to the constant change of system load. The algorithm introduces frequency difference feedback to optimise the feedback constant of island detection and improve the speed of island detection. The simulation results show that this method can not only quickly short the detection time but also reduce the blind area and improve the efficiency of islanding detection.

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Chen, H., & Ye, J. (2023). AN IMPROVED ACTIVE PHASE-SHIFT ISLANDING DETECTION METHOD BASED ON FUZZY ADAPTIVE PID ALGORITHM. International Journal of Power and Energy Systems, 43(10). https://doi.org/10.2316/J.2023.203-0464

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