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International Journal of Scientific & Technology Research

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IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Real-Time Weather Adaptive Simulation Of Regional Smart Grid For Green Energy Generation

[Full Text]

 

AUTHOR(S)

Osamah Mahfoudh Hezam Alhakimi, Rajasvaran Logeswaran, Subhashini Gopal Krishnan

 

KEYWORDS

Battery storage, Erratic weather conditions, Smart grid, Green energy, Fuzzy logic control system

 

ABSTRACT

The main aim of this work was to design and develop a real-time simulation system for electrical power distribution in smart grids using renewable energy sources that are to function in different circumstances. The performance of the developed proposed system was evaluated by testing the power generated and power demand using online weather forecasting. Renewable energy was the main power sources with hydro power and diesel as back-up supplies. The system is targeted to generate sufficient energy to meet the power demand even the occurrence of erratic weather. Fuzzy logic is used to enhance and improve the real time and live simulation to make it as realistic as possible, with different sets of rules for each of the influencing parameters, namely, temperature, wind, cloud cover and load as input, and diesel, hydro and battery storage as output control. The results achieved was based on a 5-day forecasting measurement and every 3 hours, while the expected load differs between live and manual measurement. The accuracy and measurement of the overall system was estimated at about 95%. As a future enhancement, a paid subscription for the weather forecasting data to get the full benefit of the options available and allow for 16 days forecasting at intervals of 30 minutes, and secondly to incorporate more accurate calculation for transmission losses and battery storage/charging algorithm.

 

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