Hybrid Elephant Herding Optimization and TOPSIS approach

EHO and TOPSIS approach for multiobjective/MCDM DER/DG integration in distribution networks
Updated 5 Oct 2020

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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 .

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.

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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.

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MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
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