Bus priority ranking via stability index tracing and Evolutionary Programming

There are various methods applied for indicating the most sensitive bus for any corrective and preventive actions like power scheduling at generation site and shunt element placement such as capacitor bank and FACTS devices at load site. The methods can be sensitivity analysis, optimization method, stability index based ranking and lastly the method that is rarely applied, termed as power tracing. Currently, the usage of power tracing technique is majorly limited to the field of transmission service pricing although there are various methods that have been developed by researchers. By virtue of that, this paper promotes a new technique for identifying the most suitable generator bus to be performed power scheduling and the best load bus for shunt element installation by means of Fast Voltage Stability Index Tracing (FVSI-T) via Evolutionary Programming (EP). Validation on IEEE 14-Bus and 57-Bus reliability test system (RTS) revealed that the proposed method has great capability to be applied into real system.

[1]  Mohd Wazir Mustafa,et al.  Transmission loss and load flow allocations via genetic algorithm technique , 2009, TENCON 2009 - 2009 IEEE Region 10 Conference.

[2]  Ya-Chin Chang,et al.  An electricity tracing method with application to power loss allocation , 2001 .

[3]  Sang-Joong Lee.  Location of a Superconducting Device in a Power Grid for System Loss Minimization Using Loss Sensitivity , 2007, IEEE Transactions on Applied Superconductivity.

[4]  I. Musirin,et al.  Optimum tuning of Unified Power Flow Controller via Ant Colony Optimization technique , 2010, 2010 4th International Power Engineering and Optimization Conference (PEOCO).

[5]  Shinichi Iwamoto,et al.  A consideration on rate of reactive power service from generators in liberalized power market , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[6]  Seyed Abbas Taher,et al.  Congestion management by determining optimal location of TCSC in deregulated power systems , 2008 .

[7]  Janusz Bialek,et al.  Topological generation and load distribution factors for supplement charge allocation in transmission open access , 1997 .

[8]  I. Musirin,et al.  Computational intelligence technique for solving power scheduling optimization problem , 2010, 2010 4th International Power Engineering and Optimization Conference (PEOCO).

[9]  Jiuping Pan,et al.  A Procurement Market Model for Reactive Power Services Considering System Security , 2008, IEEE Transactions on Power Systems.

[10]  Babak Mozafari,et al.  Reactive power management in a deregulated power system with considering voltage stability: Particle Swarm optimisation approach , 2005 .

[11]  S.H. Hosseinian,et al.  Optimal placement of multiple STATCOM , 2008, 2008 12th International Middle-East Power System Conference.

[12]  M. Sydulu,et al.  A Novel Approach for Optimal Location and Sizing of Capacitors on Radial Distribution Systems Using Loss Sensitivity Factors and /spl alpha/- Coefficients , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[13]  S. Dutta,et al.  Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization , 2008, IEEE Transactions on Power Systems.

[14]  S.A. Soman,et al.  Optimization approach to real power tracing: an application to transmission fixed cost allocation , 2006, IEEE Transactions on Power Systems.

[15]  M.A. El-Sharkawi,et al.  Pareto multiobjective optimization technique for reactive power planning , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

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

[17]  Q. Henry Wu,et al.  Optimal placement of FACTS devices by a Group Search Optimizer with Multiple Producer , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[18]  G. Tina,et al.  A competitive reactive power service market in a hierarchical voltage control system , 2004, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521).

[19]  S. M. Abdelkader.  Complex power flow tracing for transmission loss allocation considering loop flows , 2009, 2009 IEEE Power & Energy Society General Meeting.

[20]  Muhammad Murtadha Othman,et al.  New formulation technique for generation tracing via evolutionary programming , 2011 .

[21]  Jen-Hao Teng,et al.  Power flow and loss allocation for deregulated transmission systems , 2005 .

[22]  Mahmoud Moghavvemi,et al.  Technique for contingency monitoring and voltage collapse prediction , 1998 .

[23]  Feng Qian,et al.  Optimal location and capability of FACTS devices in a power system by means of sensitivity analysis and EEAC , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[24]  I. Kockar,et al.  Minimizing Balancing Market Congestion Re-dispatch Costs by Optimal Placements of FACTS Devices , 2007, 2007 IEEE Lausanne Power Tech.

[25]  Muhammad Murtadha Othman,et al.  Efficient Power Scheduling via Stability Index Based Tracing Technique and Blended Crossover Continuous Ant Colony Optimization , 2011 .