Title :
A Distributed Generation Islanding Detection Method Based on Artificial Immune System
Author_Institution :
Sch. of Electr. Eng., Yanshan Univ., Hebei
Abstract :
A passive method of detecting islanding of distributed generation inspired by the information processing properties of natural immune system is presented in this paper. According to the functions of the T cells and B cells of the immune system, T-module and B-module for detecting islanding are established. The T-module is used to detect the islanding condition. The B-module plays a role in improving the detection coverage space. The frequency spectra of the inverter output voltage are used as the detecting input signals. The algorithm is implemented with DSP. The results of experiment are presented. It illustrates the validity and efficiency of the approach
Keywords :
digital signal processing chips; distributed power generation; invertors; B cells; DSP; T cells; artificial immune system; distributed generation; frequency spectra; information processing; inverter; islanding detection method; Artificial immune systems; Distributed control; Immune system; Impedance; Inverters; Phase detection; Phase frequency detector; Power system harmonics; Power system reliability; Voltage; Artificial immune algorithm; Grid-connected inverter; Islanding detection; immune mutation and clonal;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1547072
