Fuel cell integrated unified power quality conditioner for voltage and current reparation in four‐wire distribution grid

作者: Chinnayan Karuppaiyah Sundarabalan , Yeseswini Puttagunta , Vedhamoorthy Vignesh

DOI: 10.1049/IET-STG.2018.0148

关键词: Computer scienceVoltage sagFuzzy control systemHarmonicsAdaptive neuro fuzzy inference systemGridAC powerVoltageElectronicsControl 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

参考文章(18)
C.K. Sundarabalan, K. Selvi, PEM fuel cell supported distribution static compensator for power quality enhancement in three-phase four-wire distribution system International Journal of Hydrogen Energy. ,vol. 39, pp. 19051- 19066 ,(2014) , 10.1016/J.IJHYDENE.2014.09.086
Arindam Ghosh, Gerard Ledwich, A unified power quality conditioner (UPQC) for simultaneous voltage and current compensation Electric Power Systems Research. ,vol. 59, pp. 55- 63 ,(2001) , 10.1016/S0378-7796(01)00141-9
Jung-Ho Wee, Applications of proton exchange membrane fuel cell systems Renewable & Sustainable Energy Reviews. ,vol. 11, pp. 1720- 1738 ,(2007) , 10.1016/J.RSER.2006.01.005
J.-S.R. Jang, ANFIS: adaptive-network-based fuzzy inference system systems man and cybernetics. ,vol. 23, pp. 665- 685 ,(1993) , 10.1109/21.256541
K Palanisamy, DP Kothari, Mahesh K Mishra, S Meikandashivam, I Jacob Raglend, None, Effective utilization of unified power quality conditioner for interconnecting PV modules with grid using power angle control method International Journal of Electrical Power & Energy Systems. ,vol. 48, pp. 131- 138 ,(2013) , 10.1016/J.IJEPES.2012.11.026
Vadirajacharya G. Kinhal, Promod Agarwal, Hari Oam Gupta, Performance Investigation of Neural-Network-Based Unified Power-Quality Conditioner IEEE Transactions on Power Delivery. ,vol. 26, pp. 431- 437 ,(2011) , 10.1109/TPWRD.2010.2050706
N.G. Jayanti, M. Basu, M.F. Conlon, K. Gaughan, Rating requirements of the unified power quality conditioner to integrate the fixedspeed induction generator-type wind generation to the grid Iet Renewable Power Generation. ,vol. 3, pp. 133- 143 ,(2009) , 10.1049/IET-RPG:20080009
Hossein MonirVaghefi, Mohsen Rafiee Sandgani, Mahdi Aliyari Shoorehdeli, Interval Type-2 Adaptive Network-based Fuzzy Inference System (ANFIS) with Type-2 non-singleton fuzzification iranian conference on fuzzy systems. pp. 1- 6 ,(2013) , 10.1109/IFSC.2013.6675612
M. Hatti, A. Meharrar, M. Tioursi, Power management strategy in the alternative energy photovoltaic/PEM Fuel Cell hybrid system Renewable & Sustainable Energy Reviews. ,vol. 15, pp. 5104- 5110 ,(2011) , 10.1016/J.RSER.2011.07.046