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Research Article | Open Access |

Performance Analysis & Comparison of Optimal Economic Load Dispatch using Soft Computing Techniques

Author 1: Vijay Kumar Author 2: Dr. Jagdev Singh Author 3: Dr. Yaduvir Singh Author 4: Dr. Sanjay Prakash Sood
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 8 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070807

Abstract

Power plants not situated at similar space from center of loads and their fuel prices are dissimilar. In this paper, ELD of actual power generation measured.ELD is preparation of generators to reduce total functioning price of generator units exposed to equality constraint of power balance within minimum and maximum working limits of producing units. In this paper FL, GAs & hybridization of GA-FL is utilized to find optimal solution of ELD systems. ELD resolutions found by resolving conservative load flow equations though at same time reducing fuel prices. Performance of results is analyzed by comparing the data values obtained with the help of soft computing techniques in ELD.

Keywords

How to Cite this Article

Kumar, V., Singh, D. J., Singh, D. Y., & Sood, D. S. P. (2016). Performance Analysis & Comparison of Optimal Economic Load Dispatch using Soft Computing Techniques. International Journal of Advanced Computer Science and Applications, 7(8). https://doi.org/10.14569/IJACSA.2016.070807

Kumar, Vijay, et al.. "Performance Analysis & Comparison of Optimal Economic Load Dispatch using Soft Computing Techniques." International Journal of Advanced Computer Science and Applications, vol. 7, no. 8, 2016, https://doi.org/10.14569/IJACSA.2016.070807.

@article{Kumar2016,
  title     = {Performance Analysis & Comparison of Optimal Economic Load Dispatch using Soft Computing Techniques},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {8},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Vijay Kumar and Dr. Jagdev Singh and Dr. Yaduvir Singh and Dr. Sanjay Prakash Sood},
  doi       = {10.14569/IJACSA.2016.070807},
  url       = {https://doi.org/10.14569/IJACSA.2016.070807}
}

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