CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Real Power Loss Minimization using Big Bang Big Crunch Algorithm

by R. Suresh, C. Kumar, S. Vignesh, S. Jaisiva
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 17
Year of Publication: 2013
Authors: R. Suresh, C. Kumar, S. Vignesh, S. Jaisiva
10.5120/11016-6375

R. Suresh, C. Kumar, S. Vignesh, S. Jaisiva . Real Power Loss Minimization using Big Bang Big Crunch Algorithm. International Journal of Computer Applications. 65, 17 ( March 2013), 28-33. DOI=10.5120/11016-6375

@article{ 10.5120/11016-6375,
author = { R. Suresh, C. Kumar, S. Vignesh, S. Jaisiva },
title = { Real Power Loss Minimization using Big Bang Big Crunch Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 17 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number17/11016-6375/ },
doi = { 10.5120/11016-6375 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:19:06.179384+05:30
%A R. Suresh
%A C. Kumar
%A S. Vignesh
%A S. Jaisiva
%T Real Power Loss Minimization using Big Bang Big Crunch Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 17
%P 28-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In power system operation, minimizing the power loss in transmission lines and/or minimizing the voltage deviation at the load buses by controlling the reactive power is referred to as optimal reactive power dispatch (ORPD). ORPD is necessary for secured operation of power systems with regard to voltage stability. In this paper, the nature inspired Big Bang – Big Crunch (BB-BC) algorithm is introduced to solve multi constrained optimal reactive power flow problem in power systems. Generator bus voltages, transformer tap positions and switchable shunt capacitor banks are used as variables to control the reactive power flow. Big Bang – Big Crunch algorithm was tested on standard IEEE 30 bus system and the results are compared with other methods to prove the effectiveness of the new algorithm. The results are quite encouraging and the algorithm is found to be simple and easy to implement.

References
  1. P. K. Roy , S. P. Ghoshal , S. S. Thakur, "Optimal VAR Control for Improvements in Voltage Profiles and for Real Power Loss Minimization using Biogeography Based Optimization", Electrical Power and Energy Systems, Vol. 43, No. 1, pp. 830–838, December 2012.
  2. Abbas Rabiee, Maziar Vanouni, Mostafa Parniani, "Optimal Reactive Power Dispatch for Improving Voltage Stability Margin Using a Local Voltage Stability Index", Energy Conversion and Management, Vol. 59, pp. 66-73, July 2012.
  3. Kursat Ayan, Ulas kilic, "Artificial Bee Colony Algorithm Solution for Optimal Reactive Power Flow", Applied Soft Computing, Vol. 12, No. 5, pp. 1477–1482, May 2012.
  4. M. Varadarajan, K. S. Swarup, "Differential Evolutionary Algorithm for Optimal Reactive Power Dispatch, Electrical Power & Energy Systems, Vol. 30, No. 8, pp. 435–441, October 2008.
  5. Amit Saraswat, Ashish Saini, "Multi-Objective Optimal Reactive Power Dispatch Considering Voltage Stability in Power Systems using HFMOEA", Engineering Applications of Artificial Intelligence, Available online 18 July 2012.
  6. Altaf Q. H. Badar , B. S. Umre, A. S. Junghare, "Reactive Power Control Using Dynamic Particle Swarm Optimization for Real Power Loss Minimization", Electrical Power & Energy Systems, Vol. 41, No. 1, pp. 133–136, October 2012.
  7. Reza Sirjani , Azah Mohamed, Hussain Shareef, "Optimal Allocation of Shunt Var Compensators in Power Systems Using a Novel Global Harmony Search Algorithm", Electrical Power & Energy Systems, Vol. 43, No. 1, pp. 562–572, December 2012.
  8. Serhat Duman , Ugur Guvenc , Yusuf Sonmez , Nuran Yorukeren, "Optimal Power Flow Using Gravitational Search Algorithm Energy Conversion and Management", Vol. 59, pp. 86–95, July 2012.
  9. Mansour MO, Abdel-Rahman TM, "Non-linear VAR Optimization Using Decomposition and Coordination", IEEE Transactions on Power Apparatus Systems Vol. PAS-103, No. 2, pp. 246– 55, February 1984.
  10. Mamandur KRC, Chenoweth RD, "Optimal Control of Reactive Power Flow for Improvements in Voltage Profiles and for Real Power Loss Minimization", IEEE Transactions on Power Apparatus Systems, Vol. PAS-100, No. 7, pp. 3185–3193, July 1981.
  11. Gan D, Qu Z, Cai H, "Large-Scale VAR Optimization and Planning by Tabu Search", Electric Power Systems Research, Vol. 39, No. 3, pp. 195–204, December 1996.
  12. Hsiao YT, Chiang HD, "Applying Network Window Scheme and a Simulated Annealing Technique to Optimal VAR Planning in Large-Scale Power Systems", Electric Power Systems Research, Vol. 22, No. 1, pp. 1–8, January 2000.
  13. Iba K. "Reactive Power Optimization by Genetic Algorithm", IEEE Transactions on Power Systems, Vol. 9, No. 2, pp. 685–692, May 1994.
  14. Lai LL, Ma JT, "Application of Evolutionary Programming to Reactive Power Planning- Comparison with Nonlinear Programming Approach", IEEE Transactions on Power Systems, Vol. 12, No. 1, pp. 198–206, February 1997.
  15. Abido MA, Bakhashwain JM, "Optimal VAR Dispatch Using a Multi Objective Evolutionary Algorithm, Electric Power & Energy Systems, Vol. 27, No. 1, pp. 13–20, January 2005.
  16. Swain AK, Morris AK, "A Novel Hybrid Evolutionary Programming Method for Function Optimization", Proc. 2000 Congress on Evolutionary Computation, Vol. 1, pp. 699–705, 2000.
  17. Yoshida H, Kawata K, Fukuyama Y, Takayama S, Nakanishi Y, "A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Security Assessment", IEEE Transactions on Power Systems, Vol. 15, No. 4, pp. 1232–1239, November 2000.
  18. Esmin AAA, Lambert-Torres G, de Souza ACZ, "A Hybrid Particle Swarm Optimization Applied to Power Loss Minimization", IEEE Transactions on Power Systems, Vol. 20, No. 2, pp. 859–866, May 2005.
  19. Roy Ranjit, Ghoshal SP, "A Novel Crazy Swarm Optimized Economic Load Dispatch for Various Types of Cost Functions", Electric Power & Energy Systems, Vol. 30, No. 4 , pp. 242– 253, May 2008.
  20. Cai J, Mab X, Li Q, Li L, Peng H, "A Multi-Objective Chaotic Ant Swarm Optimization for Environmental/Economic Dispatch", Electric Power & Energy Systems, Vol. 32, No. 5, pp. 337– 344, June 2010.
  21. Ghoshal SP, Chatterjee A, Mukherjee V, "Bio-Inspired Fuzzy Logic based Tuning of Power System Stabilizer", Expert Systems with Applications, Vol. 36, No. 5, pp. 9281–9292, July 2009.
  22. Pothiya S, Ngamroo I, Kongprawechnon W, "Ant Colony Optimisation for Economic Dispatch Problem with Non-smooth Cost Functions", Electric Power & Energy Systems, Vol. 32, No. 5, pp 478–487, June 2010.
  23. Shaheen HI, Rashed GI, Cheng SJ, "Optimal Location and Parameter Setting of UPFC for Enhancing Power System Security based on Differential Evolution Algorithm", Electric Power & Energy Systems, Vol. 33, No. 1, pp. 94–105, Jan 2011.
  24. Lee JC, Lin WM, Liao GC, Tsao TP, "Quantum Genetic Algorithm for Dynamic Economic Dispatch with Valve-Point Effects and Including Wind Power System," Electric Power & Energy Systems, Vol. 33, No. 2, pp. 189–197, February 2011.
  25. R. Mallipeddi , S. Jeyadevi , P. N. Suganthan , S. Baskar, "Efficient Constraint Handling for Optimal Reactive Power Dispatch Problems", Swarm and Evolutionary Computation, Vol. 5, pp. 28–36, August 2012.
  26. Chien-Feng Yang , Gordon G. Lai , Chia-Hau Lee , Ching-Tzong Su , Gary W. Chang, "Optimal Setting of Reactive Compensation Devices with an Improved Voltage Stability Index for Voltage Stability Enhancement", Electric Power & Energy Systems, Vol. 37, No. 1, pp. 50– 57, May 2012.
  27. Reza Taghavi, Ali Reza Seifi , Meisam Pourahmadi-Nakhli, "Fuzzy Reactive Power Optimization in Hybrid Power Systems", Electric Power & Energy Systems, Vol. 42, No. 1, pp. 375–383, November 2012.
  28. M. Granadaa, Marcos J. Riderb, J. R. S. Mantovani, M. Shahidehpour, "A Decentralized Approach for Optimal Reactive Power Dispatch Using a Lagrangian Decomposition Method", Electric Power Systems Research, Vol. 89, pp. 148–156, August 2012.
  29. Osman K. Erol, Ibrahim Eksin, "A New Optimization Method: Big Bang–Big Crunch", Advances in Engineering Software, Vol. 37, No. 2, pp. 106–111, February 2006.
  30. Dr. H. K. Verma, Yogesh Manekar, "Big Bang Big Crunch Optimization for Determination of Worst Case Loading Margin", International Journal of Engineering Research and Applications, Vol. 2, No. 4, pp. 421-426, August 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Big Bang – Big Crunch Algorithm Optimal Reactive Power Dispatch Loss Minimization Voltage Deviation Minimization

Powered by PhDFocusTM