Back-Propagation Control Algorithm for Power Quality Improvement Using DSTATCOM

This paper presents an implementation of a three phase distribution static compensator (DSTATCOM) using a back propagation (BP) control algorithm for its functions such as harmonic elimination, load balancing and reactive power compensation for power factor correction, and zero voltage regulation under nonlinear loads. A BP-based control algorithm is used for the extraction of the fundamental weighted value of active and reactive power components of load currents which are required for the estimation of reference source currents. A prototype of DSTATCOM is developed using a digital signal processor, and its performance is studied under various operating conditions. The performance of DSTATCOM is found to be satisfactory with the proposed control algorithm for various types of loads.

[1]  Tzung-Lin Lee,et al.  Discrete Frequency-Tuning Active Filter to Suppress Harmonic Resonances of Closed-Loop Distribution Power Systems , 2011, IEEE Transactions on Power Electronics.

[2]  Fu Guangjie,et al.  The Study of the Electric Power Harmonics Detecting Method Based on the Immune RBF Neural Network , 2009, 2009 Second International Conference on Intelligent Computation Technology and Automation.

[3]  Hao Yu,et al.  Advantages of Radial Basis Function Networks for Dynamic System Design , 2011, IEEE Transactions on Industrial Electronics.

[4]  H. Wayne Beaty,et al.  Electrical Power Systems Quality , 1995 .

[5]  Lan Xiao,et al.  Control of Single-Phase Grid-Connected Inverters With Nonlinear Loads , 2013, IEEE Transactions on Industrial Electronics.

[6]  Badong Chen,et al.  Quantized Kernel Least Mean Square Algorithm , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[7]  Marian Pasko,et al.  Power Theories for Improved Power Quality , 2012 .

[8]  K. Agarwal,et al.  The Institution of Electronics and Telecommunication Engineers , 2008 .

[9]  E. Mizutani,et al.  Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.

[10]  Jianhua Wu,et al.  Neural-network-based inverse control method for active power filter system , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[11]  C. Gherasim,et al.  Total harmonic distortion decomposition depending on distortion origin , 2005, IEEE Transactions on Power Delivery.

[12]  Xinrong Mao The Harmonic Currents Detecting Algorithm Based on Adaptive Neural Network , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[13]  Amin Nazarloo,et al.  A new DSTATCOM topology based on Stacked Multicell converter , 2011, 2011 2nd Power Electronics, Drive Systems and Technologies Conference.

[14]  Li Cheng,et al.  An Optimal PID Control Algorithm for Training Feedforward Neural Networks , 2013, IEEE Transactions on Industrial Electronics.

[15]  Gi-Nam Wang,et al.  Pattern Classification of Back-Propagation Algorithm Using Exclusive Connecting Network , 2007 .

[16]  R.G. Harley,et al.  Synchronous Reference Frame Based Active Filter Current Reference Generation Using Neural Networks , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[17]  Loi Lei Lai,et al.  A two-ANN approach to frequency and harmonic evaluation , 1997 .

[18]  Bhim Singh,et al.  A Comparison of Control Algorithms for DSTATCOM , 2009, IEEE Transactions on Industrial Electronics.

[19]  Hurng-Liahng Jou,et al.  Novel Circuit Topology for Three-Phase Active Power Filter , 2007, IEEE Transactions on Power Delivery.

[20]  Bimal K. Bose,et al.  A Digital PLL Scheme for Three-Phase System Using Modified Synchronous Reference Frame , 2010, IEEE Transactions on Industrial Electronics.

[21]  Tzung-Lin Lee,et al.  D-STATCOM With Positive-Sequence Admittance and Negative-Sequence Conductance to Mitigate Voltage Fluctuations in High-Level Penetration of Distributed-Generation Systems , 2013, IEEE Transactions on Industrial Electronics.

[22]  P. Kumar,et al.  Soft Computing Techniques for the Control of an Active Power Filter , 2009, IEEE Transactions on Power Delivery.

[23]  Chen Ying,et al.  New Research on Harmonic Detection Based on Neural Network for Power System , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[24]  E. Babaei,et al.  A new shunt active power filter based on indirect matrix converter , 2012, 20th Iranian Conference on Electrical Engineering (ICEE2012).

[25]  Kamal Al-Haddad,et al.  A Lyapunov-Function-Based Control for a Three-Phase Shunt Hybrid Active Filter , 2012, IEEE Transactions on Industrial Electronics.

[26]  Kr Padiyar,et al.  Facts Controllers in Power Transmission and Distribution , 2009 .

[27]  Kevin L. Moore,et al.  Iterative Learning Control: Brief Survey and Categorization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[28]  S. Rahmani,et al.  Artificial Neural Networks as Harmonic Detectors , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[29]  Avik Bhattacharya,et al.  A Shunt Active Power Filter With Enhanced Performance Using ANN-Based Predictive and Adaptive Controllers , 2011, IEEE Transactions on Industrial Electronics.

[30]  Kamal Al-Haddad,et al.  Experimental Design of a Nonlinear Control Technique for Three-Phase Shunt Active Power Filter , 2010, IEEE Transactions on Industrial Electronics.