Open AccessHarris hawks optimization algorithm based power loss minimization in micro grid incorporated with distributed generation
Author(s) -
Santhosh Kasi,
R. Neela
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1070/1/012099
Subject(s) - matlab , minification , computer science , grid , software , power (physics) , power loss , voltage , algorithm , consistency (knowledge bases) , mathematical optimization , engineering , mathematics , electrical engineering , artificial intelligence , physics , geometry , quantum mechanics , programming language , operating system
In this paper, Harris hawks optimization algorithm is used to solve the distributed generation placement problem in the micro grid. Distributed generation will effectively mitigate the loss of a real power system and improve the voltage profile. Thus, reducing actual power loss is viewed as a fitness function to optimally locate and rate the distributed generation in the micro grid. The method presented is applied in the IEEE test systems, such as the 33-bus and 69-bus micro grids. Simulation analyses are performed in MATLAB simulation software and simulation results are compared with existing PSO and ES-PSO algorithms. The results show the superiority and consistency of the Harris hawks optimization algorithm in terms of power loss minimization, voltage profile, and execution time.