Hou C.-GSHIH-CHUN LINSu S.-TChung W.-H.2023-06-092023-06-092016https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966669615&doi=10.1109%2fISPACS.2015.7432757&partnerID=40&md5=d8cdaee8665ccacabacc611fce084e72https://scholars.lib.ntu.edu.tw/handle/123456789/632346The quickest detections of power quality (PQ) events have been a critical issues in smart grids due to the wide adoption of renewable energy sources and delicate power electronic devices. The Advanced Metering Infrastructure (AMI), which consists of multiple smart meters/sensors, is adopted to quickly detect the PQ events. In AMI network, multiple meters will send their local decisions to a data collecter/fusion center. The fusion center will make the final decision. The bandwidth between each meter to the fusion center is constrained to be only 1 bit for reducing the cost of communications. Moreover, some of the meters may be faulty in the considered AMI network. We propose a new one-bit randomized grouping algorithm to detect the PQ events with fault tolerant capability. Our simulation results show that our proposed algorithm can efficiently combat faulty meters, and have superior performance with previous works. © 2015 IEEE.[SDGs]SDG9Advanced metering infrastructures; Electric power systems; Electric power transmission networks; Fault detection; Fault tolerance; Power quality; Renewable energy resources; Signal detection; Signal processing; Critical issues; Fault-tolerant capability; Grouping algorithm; Local decisions; Power electronic devices; Power quality event; Quickest detection; Renewable energy source; Smart power gridsconference paper10.1109/ISPACS.2015.74327572-s2.0-84966669615