Open AccessGenetic Algorithm Scaling for Compensation System Control in Micro Hydro/Solar Hybrid System for Rural Electrification
Author(s) -
Biswajit Dhir,
Madhu Upadhyay
Publication year - 2020
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v6i10.319
Subject(s) - renewable energy , compensation (psychology) , genetic algorithm , ac power , control theory (sociology) , rural electrification , electric power system , photovoltaic system , computer science , engineering , voltage , power (physics) , electrical engineering , control (management) , electrification , electricity , physics , psychology , machine learning , artificial intelligence , psychoanalysis , quantum mechanics
Recent technologies have been focusing on power generation through renewable energy resources such as solar, wind, hydro etc. This paper focuses on development of a micro solar/hydro power generating resources feeding local loads. The compensation system derived for the small scale loading conditions at the load line was made using PI scaling Genetic Algorithm based control keeping the general architecture of the UPFC same. The results had depicted enhancement in the active power output, better reactive power compensation and reduction in THD levels of voltage and current at the load line.