Nonlinear-variable-gain fuzzy control with finite control set model predictive-based DSTATCOM system to improve power quality in distribution system

被引:0
作者
Sahu G. [1 ]
Mahapatra K. [2 ]
机构
[1] Department of Electronics and Telecommunication Engineering, Ghanashyam Hemalata Institute of Technology and Management, Rasananda Jena Vihar, Bhuan, Puri-2, Odisha
[2] Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha
关键词
Distribution static compensator; DSTATCOM; FLC; Fuzzy logic control; Hardware in-the-loop; HIL; Model predictive control; MPC; Power quality; PQ; Real-time digital simulator; RTDS;
D O I
10.1504/IJPELEC.2021.114462
中图分类号
学科分类号
摘要
In this paper, a Takagi-Sugeno (T-S) fuzzy control structure with model predictive current control-based distribution static compensator (DSTATCOM) is proposed to improve power quality in distribution system. This control technique is based on proposed instantaneous symmetrical component and active power (ISCAP) method for reference generation, T-S fuzzy control for quick stabilisation of DC-link voltage to achieve faster tracking of reference currents and model predictive control for switching signals generation without need of modulators. This combined effort enhances the compensation capability of the system as well as making the system cost effective. Through simulation and real-time experimentation it is found that proposed controller has improved performance in terms of harmonic elimination, power factor correction, quick stabilisation of DC-link voltage and reactive power compensation. Finally this controller is employed with real-time hardware-in-the-loop (HIL) based OPAL-RT 5600 system with RTDS hardware OP5142 which is incorporated with front end processor Xilinx spartan-3 XC3S5000. © 2021 Inderscience Enterprises Ltd.
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收藏
页码:325 / 353
页数:28
相关论文
共 29 条
[1]  
Akagi H., Kanazawa Y., Nabae A., Instantaneous reactive power compensators comprising switching devices without energy storage components, IEEE Transactions on Industry Applications, IA-20, 3, pp. 625-630, (1984)
[2]  
Akagi H., Watanabe E.H., Aredes M., Instantaneous Power Theory and Applications to Power Conditioning, (2007)
[3]  
Badoni M., Singh A., Singh B., Variable forgetting factor recursive least square control algorithm for DSTATCOM, IEEE Transactions on Power Delivery, 30, 5, pp. 2353-2361, (2015)
[4]  
Bhattacharya S., Divan D., Synchronous frame based controller implementation for a hybrid series active filter system, Industry Applications Conference, 30th IAS Annual Meeting, IAS'95, Conference Record of the 1995 IEEE, 3, pp. 2531-2540, (1995)
[5]  
Bhende C.N., Mishra S., Jain S.K., TS-fuzzy-controlled active power filter for load compensation, IEEE Transactions on Power Delivery, 21, 3, pp. 1459-1465, (2006)
[6]  
Bose B.K., An adaptive hysteresis-band current control technique of a voltage-fed PWM inverter for machine drive system, IEEE Transactions on Industrial Electronics, 37, 5, pp. 402-408, (1990)
[7]  
Chen H., Xu F., Xi Y., Field programmable gate array/system on a programmable chip-based implementation of model predictive controller, IET Control Theory & Applications, 6, 8, pp. 1055-1063, (2012)
[8]  
Dell'Aquila A., Lecci A., Monopoli V.G., Fuzzy controlled active filter driven by an innovative current reference for cost reduction, Proc. IEEE Int. Symp. Ind. Electron, 3, pp. 948-952, (2002)
[9]  
Ghosh A., Joshi A., A new approach to load balancing and power factor correction in power distribution system, IEEE Transactions on Power Delivery, 15, 1, pp. 417-422, (2000)
[10]  
Hu J., Zhu J., Dorrell D.G., Model predictive control of inverters for both islanded and grid-connected operations in renewable power generations, IET Renewable Power Generation, 8, 3, pp. 240-248, (2013)