Seeker optimized SVC-PID controller for reactive power control of an isolated hybrid power system

The modeling and controlling approach of a stand-alone wind–diesel hybrid model has been focused in this paper while adopting coordinated tuning of static VAR compensator (SVC)-PID controller and power system stabilizer (PSS) for controlling the reactive power. Seeker optimization algorithm (SOA) has been used for tuning the parameters of the SVC-PID and PSS. To find out the optimal parameters of the studied model, the SOA has been implemented successfully. The synchronous generator (SG) is equipped with IEEE type-I excitation system along with dual input PSS like IEEE-PSS3B in the studied hybrid model. On-line performance analysis of the studied hybrid model is achieved by using Takagi–Sugeno fuzzy logic (TSFL) based controller. In real-time, the TSFL helps to track the accuracy of reactive power compensation for any sort of input disturbance. It is found that the proposed SOA-TSFL is more effective to get the nominal optimal parameters of SVC-PID and PSS for on-line optimal reactive power control and terminal voltage response of the investigated power system model. It has also been investigated that the performance of the proposed controller is effectively influenced by the transmission delay signal.

[1]  P. Kundur,et al.  Power system stability and control , 1994 .

[2]  Sakti Prasad Ghoshal,et al.  Seeker optimization algorithm for load-tracking performance of an autonomous power system , 2012 .

[3]  N.G. Hingorani,et al.  High Power Electronics and flexible AC Transmission System , 1988, IEEE Power Engineering Review.

[4]  Chaohua Dai,et al.  Seeker Optimization Algorithm for Optimal Reactive Power Dispatch , 2009, IEEE Transactions on Power Systems.

[5]  Sakti Prasad Ghoshal,et al.  Comparative seeker and bio-inspired fuzzy logic controllers for power system stabilizers , 2011 .

[6]  Sidhartha Panda,et al.  Differential evolution algorithm for SSSC-based damping controller design considering time delay , 2011, J. Frankl. Inst..

[7]  Sidhartha Panda,et al.  Robust coordinated design of multiple and multi-type damping controller using differential evolution algorithm , 2011 .

[8]  Ramesh C. Bansal,et al.  Automatic Reactive-Power Control of Isolated Wind-Diesel Hybrid Power Systems , 2006, IEEE Trans. Ind. Electron..

[9]  Yonghua Song,et al.  Modern Power Systems Analysis , 2008 .

[10]  Marco Liserre,et al.  Overview of Multi-MW Wind Turbines and Wind Parks , 2011, IEEE Transactions on Industrial Electronics.

[11]  Gareth Harrison,et al.  Network integration of mini-hydro , 2003 .

[12]  Kejun Qian,et al.  A hybrid power system using wind and diesel generator: A case study at masirah island in oman , 2009 .

[13]  Laszlo Gyugyi,et al.  Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems , 1999 .

[14]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[15]  Tao Zhou,et al.  Energy Management and Power Control of a Hybrid Active Wind Generator for Distributed Power Generation and Grid Integration , 2011, IEEE Transactions on Industrial Electronics.

[16]  Sakti Prasad Ghoshal,et al.  INTELLIGENT PARTICLE SWARM OPTIMIZED FUZZY PID CONTROLLER FOR AVR SYSTEM , 2007 .

[17]  Li Wang,et al.  Load-Tracking Performance of an Autonomous SOFC-Based Hybrid Power Generation/Energy Storage System , 2010, IEEE Transactions on Energy Conversion.

[18]  Ying He,et al.  Application study of distributed generation , 2010, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems.

[19]  C. N. Bhende,et al.  Bacterial Foraging Technique-Based Optimized Active Power Filter for Load Compensation , 2007, IEEE Transactions on Power Delivery.

[20]  Sakti Prasad Ghoshal,et al.  Comparative performance evaluation of SMES–SMES, TCPS–SMES and SSSC–SMES controllers in automatic generation control for a two-area hydro–hydro system , 2011 .

[21]  D. Karaboga,et al.  On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..

[22]  A. R. Wallace,et al.  Reduction of voltage violations from embedded generators connected to the distribution network by intelligent reactive power control , 2002 .

[23]  Zwe-Lee Gaing,et al.  A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004 .

[24]  I. Musirin,et al.  Computational intelligence approach for SVC-PID controller in angle stability improvement , 2012, 2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia.

[25]  Saleh M. Al-Alawi,et al.  Tuning of SVC damping controllers over a wide range of load models using an artificial neural network , 2000 .

[26]  J. Nanda,et al.  Multi-machine power system stabilizer design by rule based bacteria foraging , 2007 .