Open AccessIntelligent Automation System for Smart Grid Renewable Energy Generation on Climatic Changes
Author(s) -
Joy IongZong Chen,
Kong-Long Lai
Publication year - 2021
Publication title -
journal of electrical engineering and automation
Language(s) - English
Resource type - Journals
ISSN - 2582-3051
DOI - 10.36548/jeea.2021.3.004
Subject(s) - renewable energy , smart grid , intermittent energy source , grid , electricity generation , computer science , automation , environmental economics , engineering , distributed generation , electrical engineering , power (physics) , mechanical engineering , physics , geometry , mathematics , quantum mechanics , economics
Nature oriented power generation systems are considered as renewable energy sources. Renewable energy generations are safe to the environment and nature, in terms of minimal radiation and pollution. The space requirement, operational and maintenance cost of renewable energy generation stations are also comparatively lesser than the conventional generating stations. The new form of micro grid energy stations of 230Volt supply attract the small commercial users and the domestic users. The smart grid energy generation is widely employed in the place where the conventional energy supply is not available. Due to its simple construction process, the smart grid renewable energy stations are employed on certain national highways as charging stations for electric vehicles and as a maintenance centre. The motive of the proposed work is to alert the smart grid system with an intelligent algorithm for making an efficient energy generation process on various climatic changes. This reduces the energy wastage in the primary smart grid station and makes the system more reliable on all conditions. The performance of the proposed approach is compared with a traditional smart grid system which yielded a satisfactory outcome.