Open AccessEnergy Management Micro Grid using Hybrid De Algorithm with Genetic Algorithm
Author(s) -
Anil Kumar,
P. Aruna Jeyanthy,
D. Devaraj
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1093.1292s219
Subject(s) - genetic algorithm , algorithm , power (physics) , computer science , grid , production (economics) , mathematical optimization , mathematics , machine learning , physics , geometry , quantum mechanics , economics , macroeconomics
his paper evaluates hybrid differential evolution algorithm and genetic algorithm of LAMG is used to solving the medium scale mixed integer programming problems. Hybrid GA and DE algorithm is implemented in Local place Micro grids. LPMG and the required need of power and choose more power plants with power production with the help of Genetic algorithm. Genetic algorithm can be introduced with local place micro grid and select any one of the power plant. In this DEA implemented the local place MG, then survey period is one day. Last calculation shows which time or hour produce more power and sold out power in nearest city area electricity board. DE algorithm determine the one day power survey and Genetic algorithm choose more hour and select any one of the hour for better power production. The hybrid DEA and GA is to maintain choosing and selecting of better power production. So our project aim is choose more hour and select any one of the hour for better power production. This hybrid is use DE and GA is to maintain the real and reactive power of any power plant