Energy Efficiency Improvement in Distribution System Using ETAP for Optimal Capacitor Placement

For referring the journal/conference papers:
1. M. J. Tahir, I. A. Latiff, M. Alam, and M. Mazliham, "Network Reconfiguration Using Mo dified Particle Swarm Algorithm," in 2018
2nd International Conference on Smart Sensors and Application (ICSSA), 2018, pp. 1-5.
2. G. Levitin, A. Kalyuzhny, A. Shenkman, and M. Chertkov, "Optimal capacitor allocation in distribution systems using a genetic
algorithm and a fast energy loss computation technique," IEEE Transactions on Power Delivery, vol. 15, pp. 623-628, 2000.
3. R. Annaluru, S. Das, and A. Pahwa, "Multi-level ant colony algorithm for optimal placement of capacitors in distribution systems," in
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No. 04TH8753), 2004, pp. 1932-1937.
4. S. A. Taher and R. Bagherpour, "A new approach for optimal capacitor placement and sizing in unbalanced distorted distribution systems
using hybrid honey bee colony algorithm," International Journal of Electrical Power & Energy Systems, vol. 49, pp. 430-448, 2013.
For referring the Text books
1. J. J. Grainger and W. D. Stevenson Jr., Power System Analysis. New York, NY, USA: McGraw-Hill, 1994. [9]. [7] ETAP, ETAP Power
System Analysis Software – User Guide. Operation Technology Inc., Irvine, CA, USA.
2. Wood and B. Wollenberg, Power Generation, Operation, and Control, 2nd ed. New York, NY, USA: Wiley, 1996