Synergistic frameworks for sensor fault isolation and accommodation in grid-side converters  

作　　者：Faizan Mehmood Lenos Hadjidemetriou Panayiotis M.Papadopoulos Marios M.Polycarpou 

机构地区：[1]KIOS Research and Innovation Center of Excellence,and the Department of Electrical and Computer Engineering,University of Cyprus,Nicosia,2109,Cyprus [2]Energy,Environment,Water Research Center,The Cyprus Institute,Aglantzia,Nicosia,2121,Cyprus

出　　处：《Journal of Automation and Intelligence》2024年第4期202-218,共17页自动化与人工智能(英文)

基　　金：supported in part by the Republic of Cyprus through the Research and Innovation Foundation under Project CULTURE/AWARD-YR/0322B/0003(INVERGE);in part by the Horizon Europe Research and Innovation Programme under Grant Agreement No. 101075747 (TRANSIT);supported by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 739551 (KIOS CoE) and from the Republic of Cyprus through the Deputy Ministry of Research,Innovation and Digital Policy

摘　　要：The stable and reliable operation of grid-integrated renewable energy systems requires advanced control and coordination of grid-side converters(GSCs),utilizing the feedback measurements of voltage and current sensors from both the direct current(DC)and alternating current(AC)sides of the converter.However,the effective operation of the converter is susceptible to sensor failures or divergence from their proper operation.Although sensor fault detection algorithms are usually effective under abrupt faults,the fault propagation effect caused by the physical interconnection between the DC and AC sides of the converter may limit the performance of the sensor fault isolation process in revealing the exact location of a potential faulty sensor.Therefore,this work proposes a robust,model-based fault isolation and accommodation scheme.Specifically,a synergistic sensor fault isolation framework based on adaptive estimation schemes is proposed for both single and multiple faults in the DC voltage and AC current sensors,considering modeling uncertainty and measurement noise.The performance analysis in terms of stability,learning capability,and fault isolability is rigorously examined.An accommodation scheme based on a virtual sensor utilizing dynamic sensor fault estimation with realtime learning capabilities is applied to a GSC.Finally,the performance of the proposed fault isolation and accommodation scheme is evaluated through simulation analysis under several scenarios involving single and multiple sensor faults.

关 键 词：Fault accommodation Fault detection Fault isolation Grid-side converter Nonlinear system Sensor faults 

分 类 号：TM46[电气工程—电器] TP212[自动化与计算机技术—检测技术与自动化装置]