Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
---|---|---|
Article Number | 01069 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202018401069 | |
Published online | 19 August 2020 |
An Effective Solution to Single-Area Dynamic Dispatch Using Improved Chimp Optimizer
1 Ph.D Research Scholar, School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India
2 Department of Electrical and Electronics Engineering, Bandari Srinivas Institute of Technology, Telangana, India
3 Domain of Power Systems, School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India
* Corresponding author: Vikram Kumar Kamboj, vikram.23687@lpu.co.in
This paper proposes the Improved Chimp Algorithm (ICHIMP) to solve single area dynamic economic load dispatch (ELD) problem of electric power system. Chimp is a biologically-stimulated heuristic optimization technique, which is embedded on impersonating the technique chimps hunt for food and remain existent by escaping from their adversary. The particularity of ICHIMP is that the chimps move in group for hunting but each chimp searches the prey independently. The single area dynamic dispatch problem is described as non-linear, complex and forced optimization problem with objective function to curtail the total generation price, whereas fulfilling the correspondence and dissimilarity constraints of the system. This proposed algorithm has been tested on five different test systems consisting of 3, 6, 13, 20 and 40- generating units.. The test results of ICHIMP determine its superiority over other existing algorithms addressed in literature and show that it outperforms for Single area dynamic dispatch problem of electric power system.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.