International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Economic Load Dispatch using Particle Swarm Optimization

Author Affiliations

  • 1Bhilai Institute of Technology, Durg, India
  • 2Bhilai Institute of Technology, Durg, India
  • 3Bhilai Institute of Technology, Durg, India
  • 4Bhilai Institute of Technology, Durg, India

Res. J. Engineering Sci., Volume 11, Issue (2), Pages 22-25, May,26 (2022)


There is a constant and dynamic growth in intricacy of interconnection and demand of power in current power system all around the globe. In the current outlook, rocketing power generation expense, scantiness of energy resources, environmental consideration optimal economic dispatch. Practically power stations are non-uniform both in the load distance and fuel cost. For providing economic power generation, distribution of load needs to be done based upon the rating of the various plant. There is highly erratic objective function along with invariable inequality and equality limitations in practical ED problems. PSO is employed to allocate the active or real power between the generating stations fulfilling the system limitations and diminishing the power generation cost.


  1. Saber, A. Y., Senjyu, T., Miyagi, T., Urasaki, N., & Funabashi, T. (2005)., Fuzzy unit commitment using absolutely stochastic simulated annealing., In 2005 IEEE International Conference on Industrial Technology, 1343-1348. IEEE.
  2. Wood, A. J., Wollenberg, B. F., & Sheblé, G. B. (2013)., Power generation, operation, and control., John Wiley & Sons.
  3. Del Valle, Y., Venayagamoorthy, G. K., Mohagheghi, S., Hernandez, J. C., & Harley, R. G. (2008)., Particle swarm optimization: basic concepts, variants and applications in power systems., IEEE Transactions on evolutionary computation, 12(2), 171-195.
  4. Tippayachai, J., Ongsakul, W., & Ngamroo, I. (2002)., Parallel micro genetic algorithm for constrained economic dispatch., IEEE Transactions on Power Systems, 17(3), 790-797.
  5. Sinha, N., Chakrabarti, R., & Chattopadhyay, P. K. (2003)., Evolutionary programming techniques for economic load dispatch., IEEE Transactions on evolutionary computation, 7(1), 83-94.
  6. Lin, W. M., Cheng, F. S., & Tsay, M. T. (2002)., An improved tabu search for economic dispatch with multiple minima., IEEE Transactions on power systems, 17(1), 108-112.
  7. Wong, K. P., & Fung, C. C. (1993)., Simulated annealing based economic dispatch algorithm., In IEE proceedings C (generation, transmission and distribution), 140(6), 509-515. IET Digital Library.
  8. Park, J. B., Jeong, Y. W., Shin, J. R., & Lee, K. Y. (2009)., An improved particle swarm optimization for nonconvex economic dispatch problems., IEEE Transactions on power systems, 25(1), 156-166.
  9. Bhattacharya, A., & Chattopadhyay, P. K. (2009)., Biogeography-based optimization for different economic load dispatch problems., IEEE transactions on power systems, 25(2), 1064-1077.
  10. Panigrahi, B. K., Pandi, V. R., & Das, S. (2008)., Adaptive particle swarm optimization approach for static and dynamic economic load dispatch., Energy conversion and management, 49(6), 1407-1415.
  11. Dos Santos Coelho, L., & Lee, C. S. (2008)., Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches., International Journal of Electrical Power & Energy Systems, 30(5), 297-307.
  12. Vlachogiannis, J. G., & Lee, K. Y. (2009)., Economic load dispatch—A comparative study on heuristic optimization techniques with an improved coordinated aggregation-based PSO., IEEE Transactions on Power Systems, 24(2), 991-1001.
  13. Chaturvedi, K. T., Pandit, M., & Srivastava, L. (2008)., Self-organizing hierarchical particle swarm optimization for nonconvex economic dispatch., IEEE transactions on power systems, 23(3), 1079-1087.
  14. Om Prakash Mahela and M Gupta (2013)., Economic Load Dispatch Optimization of Six Interconnected Generating Units Using Particle Swarm Optimization., OSR Journal of Electrical and Electronics Engineering, 6, 21-27.