作者: Chinnayan Karuppaiyah Sundarabalan , Yeseswini Puttagunta , Vedhamoorthy Vignesh
DOI: 10.1049/IET-STG.2018.0148
关键词: Computer science 、 Voltage sag 、 Fuzzy control system 、 Harmonics 、 Adaptive neuro fuzzy inference system 、 Grid 、 AC power 、 Voltage 、 Electronics 、 Control theory
摘要: Electrical and electronic devices, when exposed to one or more power quality problems, are prone failure. This study aims enhance the of in three-phase four-wire distribution grid using fuel cell integrated unified conditioner (FCI-UPQC). The proposed FCI-UPQC has a four-leg converter on shunt side three-leg series side. A combination synchronous reference frame instantaneous reactive theories is utilised generate signals FCI-UPQC. Also, this proposes an adaptive neuro-fuzzy inference system (ANFIS) controller maintain DC-link voltage ANFIS designed like Sugeno fuzzy architecture trained offline data from proportional–integral controller. obtained results proved that compensated problems such as sag, swell, harmonics, neutral current, source current imbalance grid. presence work makes effectiveness by providing real support during supply interruption