Open AccessOptimization Techniques for Energy handling System in a Microgrid
Author(s) -
C. Joseph,
S. Berclin Jeyaprabha
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6637.018520
Subject(s) - renewable energy , microgrid , energy management , photovoltaic system , computer science , intermittent energy source , grid , energy management system , electricity , energy engineering , energy accounting , electricity generation , intermittency , distributed generation , environmental economics , reliability engineering , energy (signal processing) , energy conservation , engineering , power (physics) , electrical engineering , economics , statistics , geometry , mathematics , physics , quantum mechanics , turbulence , thermodynamics
The energy from the renewable energy sources primarily depends on the geographical factors. Intermittency is a major issue for renewable energy sources which will result in comparatively high electricity generation cost and a proper need of an energy management system. In an intelligent era, the increasing penetration level of solar photovoltaic (PV) energy is becoming a tedious task. Hence, an energy management system is required to control the energy flow when there is more than one source connected. Real time energy management becomes challenging because of the time varying prices of electricity, mismatch of generation and demand etc. So, they are widely related to the optimization techniques. This paper explains a broader review of various challenges on integration of Renewable energy sources to the grid. Also, an extensive review of numerous approaches of Energy management system is given in this paper. Different optimization techniques are discussed along with its advantages and limitations for better and more optimized Energy management in the micro grid. A proper energy management system helps to decrease the electricity prices as well as increases the power system reliability. Also, improves the grid stability.