Power efficient PID controller of wind driven induction generation single-phase induction motors for electric energy saving applications

The paper presents a novel self adjusting wind energy utilization scheme using a modified single phase operation of the three phase induction generator supplemented by a voltage stabilization switched filter compensation scheme. The series-parallel switched capacitor filter scheme is controlled by a dynamic Particle Swarm Optimization PSO error driven self adjusting controller to ensure voltage stabilization, minimum impact of the electric load excursions and wind variations on terminal voltage. The paper presents a family of novel switched smart filter compensated devices using Green Plug Filter Compensator GPFC devices for small single phase induction motors. The GPFC devices are equipped with a dynamic online error driven optimally tuned controller that ensures improved power factor, reduced feeder losses, stabilized voltage, minimal current ripples and efficient energy utilization/conservation with minimal impact on the host electric grid security and reliability.

[1]  A.M. Sharaf,et al.  Voltage Stabilization Using A Facts Modulated Power Filter , 2006, 2006 IEEE International Symposium on Industrial Electronics.

[2]  A. M. Sharaf,et al.  Dynamic compensation using switched/modulated power filters , 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

[3]  B. Zahedi,et al.  Efficiency Optimization Control of Single-Phase Induction Motor Drives , 2009, IEEE Transactions on Power Electronics.

[4]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[5]  Alberto Berizzi,et al.  Multiobjective optimization techniques applied to modern power systems , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[6]  Edison Roberto Cabral da Silva,et al.  Vector control strategies for single-phase induction motor drive systems , 2004, IEEE Transactions on Industrial Electronics.

[7]  R. Eberhart,et al.  Empirical study of particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[8]  Kit Po Wong,et al.  Optimal controller design of a doubly-fed induction generator wind turbine system for small signal stability enhancement , 2010 .

[9]  A. M. Sharaf,et al.  A low cost on-off modulated power filter for single phase motorized loads , 1998, Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341).

[10]  C. Mademlis,et al.  Optimization of single-phase induction Motors-part I: maximum energy efficiency control , 2005, IEEE Transactions on Energy Conversion.

[11]  Hong Huang,et al.  A smart PWM-modulated power filter for single phase motorized loads , 1998, Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341).

[12]  M.A. El-Sharkawi,et al.  Pareto Multi Objective Optimization , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[13]  C.A. Coello Coello,et al.  MOPSO: a proposal for multiple objective particle swarm optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[14]  Russell C. Eberhart,et al.  Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.

[15]  Yuan-Yih Hsu,et al.  Controller design for an induction generator driven by a variable-speed wind turbine , 2006, IEEE Transactions on Energy Conversion.

[16]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[17]  Keiichi Takahashi,et al.  A restarting method of an induction motor speed-sensorless vector control system for a small-sized wind turbine power generator system , 2009, 2009 International Conference on Electrical Machines and Systems.