Artificial intelligence technique based reactive power planning using FVSI

This paper proposes an application of Fast Voltage Stability Index (FVSI) to Reactive Power Planning (RPP) using Artificial Intelligence Technique based Differential Evolution (DE). FVSI is used to identify the weak buses for the Reactive Power Planning problem which involves process of experimental by voltage stability analysis based on the load variation. The point at which Fast Voltage Stability Index close to unity indicates the maximum possible connected load and the bus with minimum connected load is identified as the weakest bus at the point of bifurcation. The proposed approach has been used in the IEEE 30-bus system. Results show considerable reduction in system losses and improvement of voltage stability with the use of Fast Voltage Stability Index for the Reactive Power Planning problem.

[1]  Roy Billinton,et al.  Optimum Network Var Planning by Nonlinear Programming , 1973 .

[2]  M. Pai,et al.  Maximum unconstrained loadability of power systems , 1990, IEEE International Symposium on Circuits and Systems.

[3]  P. Renuga,et al.  Reactive Power Planning using Evolutionary Algorithms , 2010, 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES.

[4]  S. Granville,et al.  Assessment of maximum loadability in a probabilistic framework , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[5]  L. Tolbert,et al.  Review of Reactive Power Planning: Objectives, Constraints, and Algorithms , 2007, IEEE Transactions on Power Systems.

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

[7]  Saku Kukkonen,et al.  Real-parameter optimization with differential evolution , 2005, 2005 IEEE Congress on Evolutionary Computation.

[8]  M. Shahidehpour,et al.  Restructuring Choices for the Indian Power Sector , 2002, IEEE Power Engineering Review.

[9]  David Sun,et al.  Multi-year multi-case optimal VAR planning , 1990 .

[10]  Loi Lei Lai,et al.  Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach , 1997 .

[11]  K. Lee,et al.  A United Approach to Optimal Real and Reactive Power Dispatch , 1985, IEEE Transactions on Power Apparatus and Systems.

[12]  Kenji Iba.  Reactive power optimization by genetic algorithm , 1993 .

[13]  Azah Mohamed,et al.  Voltage contingency selection technique for security assessment , 1989 .

[14]  A. Kishore,et al.  Static Optimization of Reactive Power Sources by use of Sensitivity Parameters , 1971 .

[15]  R. Dhifaoui,et al.  Weighted Differential Evolution Based PWM Optimization for Single Phase Voltage Source Inverter , 2010 .