Optimal placement of FACTS devices using probabilistic Particle Swarm Optimization

The identification of optimal locations for 3 Static VAr Compensators (SVCs) in an IEEE 30 bus system is considered in this paper. The problem is drafted as an optimization task and the solution is achieved through a novel optimization method termed as probabilistic Particle Swarm Optimization (PPSO). The proposed algorithm is a suitable modification of the standard Particle Swarm Optimization (PSO) technique by incorporating probabilistic particle movement with discrete positions. The performance of the new algorithm is illustrated through extensive computer simulations.

[1]  F. Alvarado,et al.  SVC placement using critical modes of voltage instability , 1993, Conference Proceedings Power Industry Computer Application Conference.

[2]  R. H. Lasseter,et al.  A Newton-type current injection model of UPFC for studying low-frequency oscillations , 2004 .

[3]  H. Farahmand,et al.  Implementation of FACTS devices for ATC enhancement using RPF technique , 2004, 2004 Large Engineering Systems Conference on Power Engineering (IEEE Cat. No.04EX819).

[4]  Rong-Jong Wai,et al.  Real-Time PID Control Strategy for Maglev Transportation System via Particle Swarm Optimization , 2011, IEEE Transactions on Industrial Electronics.

[5]  Narain G. Hingorani,et al.  FACTS-flexible AC transmission system , 1991 .

[6]  H. Sasaki,et al.  A New Formulation for FACTS Allocation for Security Enhancement against Voltage Collapse , 2002, IEEE Power Engineering Review.

[7]  Xianzhong Duan,et al.  Effects of FACTS controllers on small-signal voltage stability , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[8]  H. F. Wang,et al.  Selection of installing locations and feedback signals of FACTS-based stabilisers in multimachine power systems by reduced-order modal analysis , 1997 .

[9]  Seema Singh Location of FACTS devices for enhancing power systems' security , 2001, LESCOPE 01. 2001 Large Engineering Systems Conference on Power Engineering. Conference Proceedings. Theme: Powering Beyond 2001 (Cat. No.01ex490).

[10]  Y. H. Song,et al.  Application of stochastic programming for available transfer capability enhancement using FACTS devices , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[11]  Roberto Turri,et al.  Application of modal analysis for the enhancement of the performances of a UPFC controller in power oscillation damping , 2000, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099).

[12]  Shuyuan Yang,et al.  A quantum particle swarm optimization , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

[13]  A. Yokoyama,et al.  Optimal location of phase shifters in the French network by genetic algorithm , 1999 .

[14]  Jose Juan manuel Ramirez Arredondo,et al.  A frequency response technique to allocate FACTS devices , 2001 .

[15]  Mohammed H. Haque,et al.  Determination of steady state voltage stability limit of a power system in the presence of SVC , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[16]  R. Eberhart,et al.  Particle Swarm Optimization-Neural Networks, 1995. Proceedings., IEEE International Conference on , 2004 .

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

[18]  G. T. Heydt,et al.  Power Quality Engineering , 2001, IEEE Power Engineering Review.

[19]  Jie Lu,et al.  Competitive Strategic Bidding Optimization in Electricity Markets Using Bilevel Programming and Swarm Technique , 2011, IEEE Transactions on Industrial Electronics.

[20]  G. B. Shrestha,et al.  Allocation of TCSC devices to optimize total transmission capacity in a competitive power market , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[21]  A. David,et al.  Placement of FACTS devices in open power market , 2000 .

[22]  Pierluigi Siano,et al.  Selection of optimal number and location of thyristor-controlled phase shifters using genetic based algorithms , 2004 .

[23]  Zhang Yan,et al.  Damping subsynchronous oscillation using UPFC-a FACTS device , 2002, Proceedings. International Conference on Power System Technology.

[24]  S. Saadate,et al.  Compensation of the electrical mains by means of unified power flow controller (UPFC)-comparison of three control methods , 2000, Ninth International Conference on Harmonics and Quality of Power. Proceedings (Cat. No.00EX441).

[25]  Enrique Acha,et al.  FACTS: Modelling and Simulation in Power Networks , 2004 .

[26]  E. Handschin,et al.  Congestion management methods with a special consideration of FACTS-devices , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[27]  K. Sundereswaran,et al.  Application of a Modified Particle Swarm Optimization Technique for Output Voltage Regulation of Boost Converter , 2011 .

[28]  H. Sasaki,et al.  A comprehensive approach for FACTS devices optimal allocation to mitigate voltage collapse , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.