Hybrid Elephant Herding Optimization and TOPSIS approach

Version 1.0.0 (12.6 KB) by NAND KISHOR MEENA

EHO and TOPSIS approach for multiobjective/MCDM DER/DG integration in distribution networks

533 Downloads

Updated 5 Oct 2020

This folder provides the Matlab codes of metaheuristic (EHO) and TOPSIS approach for solving the multiobjective optimal DG integration problems of distribution networks. The objective functions considered here are the minimization of power loss and node voltage deviation while maximizing the voltage stability index of the distribution system. It also includes the backwards-forward load flow method to solve the power flow equations.

Cite As

NAND KISHOR MEENA (2024). Hybrid Elephant Herding Optimization and TOPSIS approach (https://www.mathworks.com/matlabcentral/fileexchange/80695-hybrid-elephant-herding-optimization-and-topsis-approach), MATLAB Central File Exchange. Retrieved October 8, 2024.

Meena, Nand Kishor, et al. “Improved Elephant Herding Optimization for Multiobjective DER Accommodation in Distribution Systems.” IEEE Transactions on Industrial Informatics, vol. 14, no. 3, Institute of Electrical and Electronics Engineers (IEEE), Mar. 2018, pp. 1029–39, doi:10.1109/tii.2017.2748220.

View more styles

Singh, Pushpendra, et al. “Multi-Criteria Decision Making Monarch Butterfly Optimization for Optimal Distributed Energy Resources Mix in Distribution Networks.” Applied Energy, vol. 278, Elsevier BV, Nov. 2020, p. 115723, doi:10.1016/j.apenergy.2020.115723.

View more styles

MATLAB Release Compatibility

Created with R2020b

Compatible with any release

Platform Compatibility

Windows macOS Linux

Tags Add Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version	Published	Release Notes
1.0.0	5 Oct 2020		Toolbox Zip

MLA	Meena, Nand Kishor, et al. “Improved Elephant Herding Optimization for Multiobjective DER Accommodation in Distribution Systems.” IEEE Transactions on Industrial Informatics, vol. 14, no. 3, Institute of Electrical and Electronics Engineers (IEEE), Mar. 2018, pp. 1029–39, doi:10.1109/tii.2017.2748220.
APA	Meena, N. K., Parashar, S., Swarnkar, A., Gupta, N., & Niazi, K. R. (2018). Improved Elephant Herding Optimization for Multiobjective DER Accommodation in Distribution Systems. IEEE Transactions on Industrial Informatics, 14(3), 1029–1039. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Ftii.2017.2748220
BibTeX	@article{Meena_2018, doi = {10.1109/tii.2017.2748220}, url = {https://doi.org/10.1109%2Ftii.2017.2748220}, year = 2018, month = {mar}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {14}, number = {3}, pages = {1029--1039}, author = {Nand Kishor Meena and Sonam Parashar and Anil Swarnkar and Nikhil Gupta and Khaleequr Rehman Niazi}, title = {Improved Elephant Herding Optimization for Multiobjective {DER} Accommodation in Distribution Systems}, journal = {{IEEE} Transactions on Industrial Informatics} }

MLA	Singh, Pushpendra, et al. “Multi-Criteria Decision Making Monarch Butterfly Optimization for Optimal Distributed Energy Resources Mix in Distribution Networks.” Applied Energy, vol. 278, Elsevier BV, Nov. 2020, p. 115723, doi:10.1016/j.apenergy.2020.115723.
APA	Singh, P., Meena, N. K., Yang, J., Vega-Fuentes, E., & Bishnoi, S. K. (2020). Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks. Applied Energy, 278, 115723. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.apenergy.2020.115723
BibTeX	@article{Singh_2020, doi = {10.1016/j.apenergy.2020.115723}, url = {https://doi.org/10.1016%2Fj.apenergy.2020.115723}, year = 2020, month = {nov}, publisher = {Elsevier {BV}}, volume = {278}, pages = {115723}, author = {Pushpendra Singh and Nand K. Meena and Jin Yang and Eduardo Vega-Fuentes and Shree Krishna Bishnoi}, title = {Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks}, journal = {Applied Energy} }