Optimal placement of multi-type FACTS devices to enhance Total Transfer Capability using Improved Evolutionary Programming

An Improved Evolutionary Programming (IEP) is proposed to determine the optimal placement of multi-type Flexible AC Transmission Systems (FACTS) devices for maximising Total Transfer Capability (TTC) of power transactions. IEP simultaneously searches for types, locations, and parameters of FACTS devices, real power generations in source area, real power loads in sink area, and generation bus voltages to evaluate the feasible TTC value within power system constraints and FACTS devices operating limits. Test results on the modified IEEE 30- and 118-bus systems indicate that optimally placed optimal power flow (OPF) with FACTS by IEP could enhance TTC value far more than OPF without FACTS.

[1]  Hari Om Gupta,et al.  Optimal power flow control in open power market using unified power flow controller , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[2]  Hari Om Gupta,et al.  FACTS devices location for enhancement of total transfer capability , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[3]  C. Singh,et al.  Assessment of Available Transfer Capability and Margins , 2002, IEEE Power Engineering Review.

[4]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[5]  Philip G. Hill,et al.  Power generation , 1927, Journal of the A.I.E.E..

[6]  Weerakorn Ongsakul,et al.  Optimal power flow with multi-type of FACTS devices by hybrid TS/SA approach , 2002, 2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02..

[7]  Y. H. Song,et al.  Power flow control approach to power systems with embedded FACTS devices , 2002 .

[8]  C. W. Taylor Power System Voltage Stability , 1993 .

[9]  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).

[10]  Yixin Ni,et al.  Calculation of total transfer capability incorporating the effect of reactive power , 2003 .

[11]  R. Casanova,et al.  A mixed-integer LP based network topology optimization algorithm for overload alleviation , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[12]  R. Gutman,et al.  Analytical Development of Loadability Characteristics for EHV and UHV Transmission Lines , 1979, IEEE Transactions on Power Apparatus and Systems.

[13]  Loi Lei Lai,et al.  Intelligent System Applications in Power Engineering: Evolutionary Programming and Neural Networks , 1998 .

[14]  Chanan Singh,et al.  Improvement of total transfer capability using TCSC and SVC , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[15]  N. D. Hatziargyriou,et al.  A systematic approach for effective location of series compensation to increase available transfer capability , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[16]  M.J.H. Sterling,et al.  Voltage collapse proximity indicator: behaviour and implications , 1992 .

[17]  T. S. Chung,et al.  Optimal active power flow incorporating power flow control needs in flexible AC transmission systems , 1999 .

[18]  M. H. Gravener,et al.  Available transfer capability and first order sensitivity , 1999 .

[19]  B. Yegnanarayana,et al.  Genetic-algorithm-based optimal power flow for security enhancement , 2005 .

[20]  Y. H. Song,et al.  Available transfer capability enhancement using FACTS devices , 2003 .

[21]  Ling Wang,et al.  An improved evolutionary programming for optimization , 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

[22]  S. Gerbex,et al.  Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms , 2001, IEEE Power Engineering Review.

[23]  Hiroshi Sasaki,et al.  A solution of dynamic available transfer capability by means of stability constrained optimal power flow , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[24]  K. P. Wong,et al.  Evolutionary-programming-based load flow algorithm for systems containing unified power flow controllers , 2003 .

[25]  G. C. Ejebe,et al.  Available transfer capability calculations , 1998 .